Knowledge-Based Systems

Size: px
Start display at page:

Download "Knowledge-Based Systems"

Transcription

1 Knowledge-Based Systems 21 (2008) Contents lists available at ScienceDirect Knowledge-Based Systems journal homepage: The role of organizational knowledge management in successful ERP implementation projects Ramin Vandaie * DeGroote School of Business, McMaster University, Hamilton, Ont., Canada L8S 4M2 article info abstract Article history: Received 26 April 2006 Received in revised form 27 May 2006 Accepted 13 April 2008 Available online 20 April 2008 Keywords: Enterprise system implementation Organizational knowledge management Process-based knowledge Tacit knowledge Special attention to critical success factors in the implementation of Enterprise Resource Planning systems is evident from the bulk of literature on this issue. In order to implement these systems that are aimed at improving the sharing of enterprise-wide information and knowledge, organizations must have the capability of effective knowledge sharing to start with. Based on a review of the literature on the knowledge management in enterprise system implementation projects, this paper identifies two major areas of concern regarding the management of knowledge in this specific type of projects: managing tacit knowledge, and issues regarding the process-based nature of organizational knowledge viewed through the lens of organizational memory. The more capable an organization is in handling these issues, the more likely it is that the implementation will result in competitive advantage for the organization. The competitive advantage arises from the organization s capabilities in internalizing and integrating the adopted processes with the existing knowledge paradigms and harmonizing the new system and the organizational culture towards getting the most out of the implementation effort. Ó 2008 Elsevier B.V. All rights reserved. 1. Introduction * Tel.: x26179; fax: address: vandair@mcmaster.ca In order to be able to respond to the fast-changing business environment of the contemporary markets, enterprises have felt the urgent need to integrate business functions into a single system. Such solutions often referred to as Enterprise Resource Planning (ERP) systems, efficiently utilize information technology, and enable the internal sharing of data and information as well as the required communication with third-party vendors and customers [18,27,15]. ERP systems focus on the integration of business functions throughout the entire enterprise by facilitating the flow of information across the line of the business processes as they cross the departmental boundaries. ERP systems run off a single database and enable various departments to share information and communicate with each other. Given the high risk of failure associated with enterprise system implementation projects [30,26] special attention to critical success factors in enterprise system implementation is evident from the bulk of literature on this issue [14,3,33]. These success factors range from technical know-how and expertise to people and organization management skills required during a typical enterprise system implementation project [8,15]. Optimal implementation of enterprise systems requires attention to the technology as well as people [27,13,17]. Developing the technology side of an enterprise system to cover all organizational processes can lead to successful outcomes only if it is accompanied by the evolution of human capabilities to understand the implications and handle the consequences of the new system and business processes defined for it [34]. Enterprise system as a technology is designed to enable firms to better manage their knowledge by integration of business processes and have better control of information and data in the organization. Ironically, to implement the technology that is aimed at improving the sharing and integrity of information and knowledge in the firms, organizations must have the capability of effective knowledge sharing to start with [10]. The knowledge required during enterprise system implementation includes a variety of expertise, experiences and skills and therefore cross-functional and cross-divisional transfer of knowledge is necessary to ensure that the requisite enterprise system knowledge is available for a successful implementation [2]. ERP implementation is so knowledge-intensive that the fate of the whole project is in hands of a group of knowledgeable employee from across the organization and success of the project relies heavily upon effective management of knowledge into, within, and out of this team during enterprise system life cycle. Implementation team members are, by definition, knowledge workers [5] who put their experience and knowledge into work, are influenced by the knowledge they gain during the enterprise system project, and become more valuable for the organization as they grow more and more knowledgeable about the new system [23]. ERP knowledge does not reside exclusively on the supply side, nor can it be transferred directly to the user organization. Rather this knowledge is dispersed within the organization (across func /$ - see front matter Ó 2008 Elsevier B.V. All rights reserved. doi: /j.knosys

2 R. Vandaie / Knowledge-Based Systems 21 (2008) tional divisions, work groups, etc.) and outside the organization (with consulting partners or software vendors) [20]. During a successful ERP implementation project this knowledge must be combined and integrated and transformed into applicable knowledge [21] in the particular context of the project. Typically this is achieved by setting up a team to evaluate the existing solution and then design and implement the chosen system. By mapping existing organizational process, identifying processes embedded in enterprise system package and defining new organizational process that fit both the new systems and the organization, the ERP implementation team configures the package to suit the organizational context. Disperse, function-embedded, and process-oriented knowledge must be gathered and combined with the knowledge embedded in the ERP package. Therefore knowledge needs to flow among team members, and between team members and other organizational members or external consulting staff. Fundamentally, successful completion of these activities will depend on how well the ERP-specific knowledge is handled and managed to ensure the access to requisite knowledge whenever, wherever, and by whomever it is needed. Based on a review of the literature on the knowledge management in enterprise system implementation projects, this paper identifies two major areas of concern regarding the management of ERP knowledge. The first area concerns the effects and implications of the tacitness of a great portion of ERP-specific knowledge. The challenge of tacit knowledge sharing is partly due to the fact that the process knowledge is by and large routinized so that employees may be subconscious about the separate steps which are gone through in the process and have difficulty expressing it explicitly. When any of these employees are selected as the ERP implementation team member, the need for communicating this type of knowledge is magnified. Based on the process-based nature of this type of knowledge, the second area examines the application of organizational memory in ERP knowledge management. Organizational processes embed substantial knowledge of the organization s history and paradigms and since this knowledge is not confined to a specific mind s cognition and is stored in form of processes, it can be regarded as the organizational memory. Viewing the ERP knowledge from the lens of organizational memory has certain implications for managing the knowledge in these projects in terms of its enabling or impeding factors in enterprise system projects which makes it an interesting issue to consider besides the important problem of tacit knowledge sharing. This paper begins with general definition of organizational knowledge and knowledge management and transitions into ERP-specific knowledge management issues. Enterprise system tacit knowledge sharing and organizational memory perspective of ERP knowledge are discussed following the definition of basic concepts and are followed by conclusion and discussion of these identified issues. 2. Organizational knowledge and knowledge management Although the concept of knowledge has been addressed by scholars for a long time, the concerns about managing organizational knowledge has been introduced and gained spectacular acceleration during the last few decades [28,1,6]. This knowledge wake has taken special advantage from the overwhelming advances in information technology, such that design and implementation of information systems in support of organizational knowledge management has found an established ground in Information Systems research [1,24]. Yet, designing information systems to support knowledge management initiatives is impossible unless an understanding of the nature and types of knowledge in organization exists. Such an understanding is a key element in formulating and analyzing the role of information systems in facilitating the management of organizational knowledge [7,31]. From the epistemological perspective, knowledge is known to be either tacit or explicit. Explicit knowledge refers to knowledge that is transmittable in formal, systematic languages. Tacit knowledge on the other hand is personal, context specific, and therefore hard to formalize and communicate. Assuming that knowledge is created through the interaction between tacit and explicit knowledge, Nonaka and Takeuchi [21] introduced their spiral of knowledge creation in which knowledge contents interact with each other to interchange from tacit to explicit or vice versa. The hierarchical view of knowledge which includes Data, Information and Knowledge in the ascending order of complexity is widely accepted. Data is the raw facts which are processed to become information. Authenticated information by human perception is considered to be knowledge. In practice, what organizations actually manage under the name of knowledge management, is a mix of knowledge, information and data; so, as we see, it is very difficult to distinguish between these different dimensions of knowledge in real world experiences [4,7]. The hierarchical nature of knowledge is also reflected in knowledge management initiatives. Organizations focusing on data and information levels, are more likely to choose approaches involving data warehouses, statistical analysis and other similar tools; while focus on knowledge level normally leads to initiatives like communities of practice [1]. The understanding of this characteristic of knowledge as well as recognizing the tacit or explicitness of knowledge residing in the minds of individuals or in the collective organizational memory, act as a basis in determining the type of knowledge management strategies and initiatives for an organization. All in all, identifying what is meant by knowledge for an organization is the first step. It is the next step, however, which is the challenge; namely, what can be done to improve the creation, storage and dissemination of knowledge in organizations. Next, the issue of identifying the characteristics of knowledge in the specific context of enterprise system implementation projects is discussed and a knowledge-based view of ERP projects is presented. 3. Knowledge-based view of ERP projects Enterprise system allows companies to have a convergent and integrated view of the organizational information by means of centralized databases and integrated business processes across the lines of different divisions and departments [9,23,19]. It could be said that as the result of enterprise system implementation the organizational information and knowledge converges across different divisions and departments on an organization-wide scope. IT experts need to know more about the business processes and business process experts need to leverage their knowledge about the IT systems in place in their organization. Eventually, the overlap between the knowledge of different divisions increases and the knowledge on the organizational scale follows a converging pattern. However this convergence on the organizational level tends to turn into divergence as we move down to the individual level [2,17]. A broader knowledge of the organization is required for end users of enterprise system systems compared to the traditional legacy systems that were adapted to each island of automation. As the view changes from task-focused to the processfocused by implementing enterprise systems, employees need to know how their task fits into the overall process and how that process contributes to the achievement of organizational objectives. For example, an employee working in customer billing section will need to know more about the IT systems as well as other business areas such as production and accounting. Similarly, the IT experts need to know more about different subject areas to

3 922 R. Vandaie / Knowledge-Based Systems 21 (2008) adapt the new system to their requirements and configure the enterprise system to operate optimally. Therefore, as the organizational view of knowledge regarding the tasks and processes that are conducted in the organization tends to converge by the use of enterprise system, the individual knowledge must diverge to accommodate for the changes posed by enterprise system implementation [2]. One major implication of such a view of enterprise system projects is that knowledge sharing needs to be significant across organizational boundaries to allow for the maximum sharing of observations and experiences among employees from different organizational divisions with different mindsets about how the business is done along the line of process. Knowledge sharing in enterprise system projects exists along different lines of interaction among organizational members, ERP team, and external consultants which echoes the need for improved knowledge sharing along different organizational dimensions and in different levels of engagement with the implementation project. Next section reviews different lines of ERPspecific knowledge sharing in more details. 4. Different lines of knowledge sharing in enterprise system projects ERP team is the center of activities in every ERP implementation project [23,12]. This team is in charge of implementing enterprise system in multiple stages beginning with the examination of the current business processes (referred to as the as is phase), followed by identification of the gap between the as is status and the to be status which is determined by the best practices included in the enterprise system package. The final step of the ERP team s mission is installing the new processes and training the users to use them without getting stock or crashing the new system [12]. The members of this team come from different departments carrying the knowledge which is specific to their department and as part of mapping organizational business processes, is required to be shared with other members of the team. Therefore one major part of knowledge management in every implementation project deals with facilitating the sharing of knowledge among members of the ERP team [2,16,5]. In addition to the group knowledge sharing, the enterprise system team also has a great deal of communications and interactions with end users and user managers to both become aware of their expectations of the new systems and keep them informed about the changes that might occur after the implementation. Since the sharing of knowledge in this level is directly influenced by the users capability of handling the changes in roles as a result of the new system [3,13], this part of enterprise system knowledge management must be incorporated into the change management strategy of the organization. A third line of knowledge sharing is between the ERP implementation team and the consulting firms hired to convey their professional knowledge of the selected enterprise system package into the organizational [23,26]. The knowledge that team members seek from the integration partner is not restricted to the manuals and the documented information about the package. Thus, it is important for the consulting staff to work side by side with enterprise system team members so that they can learn what is hard to document as instructions and manuals [11]. Facilitating knowledge sharing requires adopting knowledge management initiatives along with the ERP implementation projects. But the simultaneous implementation of knowledge management initiative and enterprise system might have certain complexities. Next section discusses different views stated in the literature on the issue of contradictory or complementary effect of having KM and enterprise system initiatives in place at the same time. 5. Knowledge management and enterprise system, contradictory or complementary? Considering simultaneous implementation of enterprise system and knowledge management systems in organizations implies some sort of contradiction by its nature. Enterprise systems are meant to increase the organizational efficiency by enhancing the information processing capability of the enterprise [15,19]. This capability enhancement is enabled by the systematization and centralization of information management and the adoption of standard approaches to the codification and processing of information. On the other hand, Knowledge management initiatives aim at mobilizing the knowledge through organized knowledge repositories of explicit knowledge and communities of practice as a means of sharing and creating tacit knowledge, having their overall focus on improving innovation capabilities by increasing flexibility [4,7,24]. While it is traditionally believed that it is impossible for an organization to focus on both efficiency and flexibility, Newell et al. [19] show, by analyzing a case, that enterprise system and knowledge management initiatives are complementary rather than contradictory. Assuming enterprise system systems as integrated databases of organizational information and explicit knowledge as opposed to knowledge management initiatives being methods of managing tacit knowledge, their findings suggests that a balanced perspective of enterprise system and KM systems can assist in exploiting explicit knowledge as well as exploring and sharing tacit knowledge simultaneously. In other words, utilizing the respective strength of enterprise system and KM in tandem enables the alignment of organizational capabilities in information processing, knowledge exploration and exploitation [19]. Knowledge management techniques are used over the course of enterprise system implementation and during different steps of implementation projects to facilitate this knowledge sharing [8]. Detailed view of how knowledge of ERP project members evolves during these different stages is discussed next. 6. Knowledge management in enterprise system life cycle Knowledge management can assist the adopting companies and the consulting firms through different stages of the enterprise system life cycle. On a general view, enterprise system life cycle involves selecting, implementing, and using the enterprise system [22,23]. In selecting stage, knowledge management systems could be designed to organize the information regarding different types of enterprise system packages so that firms looking for an ERP package can compare and choose the one that best fits their organizational context and fulfills their requirements. The implementation stage of enterprise system life cycle is characterized by the occurrence of various problems in design and practice of the new system [16,27,30] and keeping an organized record of these problems along with their tested answers is a valuable resource for every enterprise system implementation effort. In the using stage issues range from compliance of the data plugged into the system by the standard settings of the software for data entry to configuring the system to generate the desired output reports [25]. Availability of knowledge management systems that provide the accurate and timely information for such issues seems to be a necessity for every adopting organization. In all stages of the enterprise system life cycle, the part of the knowledge which is hard to capture and document (i.e. the tacit knowledge) can not be organized using formal knowledge repositories [28,10] and the knowledge management techniques facilitating the access to this type of knowledge differ in nature from the explicit knowledge management systems [22]. The challenge

4 R. Vandaie / Knowledge-Based Systems 21 (2008) of tacit enterprise system knowledge sharing is partly due to the fact that the process knowledge is by and large routinized so that employees may be subconscious about the separate steps which are gone through in the process and have difficulty expressing it explicitly [10]. When any of these employees are selected as the enterprise system team member, the need for communicating this type of knowledge is surfaced. Transferring the experiences gained during enterprise system project from and to the members who transition on and off the enterprise system team, transfer of expertise from external consultants to the enterprise system team members, and transferring the contextual knowledge of enterprise system which could help users to better understand the underlying assumptions of the enterprise system are among other challenges posed by the tacitness of ERP-specific knowledge [28,23,10,17]. Due to the significant emphasis of the literature on the issue of tacit knowledge management in ERP projects, following sections review this subject in deep and discuss different methods adopted by organizations to face its complexities. 7. Managing the tacit ERP knowledge Two different categories of business processes have been identified in the literature: canonical and non-canonical [2,17]. Canonical processes are the abstract representation of the organization and they map complex tasks to a set of simple canonical steps. Non-canonical processes refer to what actually happens during the work and represent informal processes governed by communication and interpersonal relationships used for getting advice for on-the-job practices [2]. One implication of identifying these two types of business processes is that the transfer of ERP knowledge also should be considered from a two-dimensional perspective. The reference models or best practices in ERP packages are canonical processes which are explicitly coded and represent the explicit part of the knowledge transfer in enterprise system projects. These best practices are reference models for the chains of activities which are adopted by the organization implementing the system. However, the knowledge transfer is not limited to this explicit dimension and ERP systems are not just pure software packages which can be tailored to the organization [30,10]. In fact, in addition to the cleanly codified procedures, they also entail non-canonical processes related to organizational dimensions that affect the ways in which business is carried out throughout the organization and influence the company s strategy and culture. Therefore, implementation of enterprise systems includes the transfer of explicit as well as tacit knowledge of business processes. Transfer of the explicit part or the codified business processes to the adopting organization is part of the standard ERP implementation procedure and generally does not pose much complexities [23]. However, transferring the tacit part of this knowledge urges for intimate communication and informal relationship between the source and the recipient of knowledge [28]. Such kinds of relationships are limited in enterprise system implementation projects and as a consequence, the adopting organization s capability to adjust the existing organizational norms and culture to the implicit fundamentals of new business processes plays an important role here. In other words, implementing the best practices changes the way business have been conducted for a long time and sufficient understanding of the proper actions to face this change is not possible just by installing the system and its components. By focusing on the transfer of explicit and tacit knowledge during enterprise system implementation, this process can be divided into two separate phases: implementation and integration[2]. Implementation phase refers to implementing the canonical processes of best practices provided in the ERP package which are comparatively easy to transfer and map into the organization. The next step is to merge the non-canonical processes underlying system with existing culture in the organization to complete the knowledge transfer process. The integration phase, however, may not be as easy as the implementation phase since the new values may conflict with the old ones [27]. These conflicts may reflect as the resistance to change among employees which in turn will deviate the implementation process from its planned desired outcomes. Internalization of the non-canonical processes increases the appreciation for the new values in the organization and mitigates the negative effects of the organizational resistance [3]. Distinguishing the implementation and integration phases provides an initial explanation for the basic question of how companies can gain competitive advantage from ERP system if the competitors use the same standardized set of best practices [2]. The implementing of best practices is the common part which has almost the same implications for different organizations. The competitive advantage arises from the organization s capabilities in internalizing and integrating the adopted processes with the existing business values and harmonizing the ERP technology and the organizational culture towards getting the most out of the implementation effort. Part of this capability could be in the form of restructuring the organizational roles in order to increase the cross-functional knowledge transfer and fill the gap between the knowledge base of employees and the enterprise-wide knowledge requirements of the system [16]. Therefore, it is reasonable to assume that the competitive advantage in adopting enterprise system relies mainly on the tacit knowledge handling capabilities of the organization. Next section reviews the different areas where necessities for tacit knowledge sharing exist in every ERP project and classifies them according to their idiosyncrasies. 8. Tacit knowledge sharing in enterprise system projects Enterprise system as a technology is designed to enable firms to better manage their knowledge through effective knowledge sharing as a consequence of tight integration of processes and better control of information and data [10]. Ironically, to implement the technology that is aimed at improving the sharing of knowledge in the firms, organizations must have the capability of effective knowledge sharing to start with. It may appear at first that the knowledge required for enterprise system implementation can easily be codified and distributed along with the ERP package since it is basically a set of transaction processing systems. However knowledge sharing during ERP implementation involves more than just communicating how different procedures and modules of the enterprise system operate [16,28,10]. It requires that organizational members, especially those who are in the core implementation team, have a clear understanding of the underpinning assumptions of the system as well as the environment of the adopting organization. Only when this kind of tacit knowledge is integrated into the implementation effort, the organizational members will start to appreciate the value of enterprise system and this integration is one of the most difficult phases in every ERP implementation [16]. The challenge of tacit knowledge sharing is partly due to the fact that the knowledge needed to make processes work may have become so routinized that the performing employees may not be conscious about the separate steps which are gone through in the process and have difficulty expressing it explicitly [10]. When any of these employees are selected as the enterprise system team member, the need for communicating this type of knowledge is surfaced. The knowledge that team members need for enterprise system project is more diverse than the knowledge required for their jobs and is mainly in the form of know-how and individual experiences. Therefore, facilitating the sharing of

5 924 R. Vandaie / Knowledge-Based Systems 21 (2008) tacit knowledge exhausts a great part of the implementation team. Tacit knowledge sharing can be classified into different categories [10]. First category concerns the knowledge sharing within the ERP team and among team members. The team must also interact with other organizational members to gather information about processes across the enterprise and also to keep them informed about the progress of the project and its effects on their jobs. External consultants are also an inseparable part of every ERP implementation project and therefore, knowledge sharing, especially in tacit form, exists between the members of the enterprise system team and the external consultants as well. This is especially important since normally the consulting team leaves the firm after a while and it is up to the ERP team to salvage the knowledge transferred by them into the organization [20,22]. Retaining the knowledge after the transition of the knowledge owner is also an important issue when members of the enterprise system team leave the team for whatever reason at various phases of the enterprise system project. New members can not catch up with what the former member left just by reading the manuals and documents of the project since a major part of the enterprise system knowledge gained by the former member was in tacit format. Tacit knowledge sharing facilitators during enterprise system implementation can be classified into two categories [28,20,10]: structure of team interactions and atmosphere of the team. Structure of team interactions refers to factors that determine and structure the interactions between team members. For example, the physical work space where the team is assigned to work in can affect the pattern of interactions among team members [28]. Hierarchy of the team membership is another structure factor that influences the tacit knowledge sharing. Atmosphere of the team considers the factors that are less tangible and define the behavioral norms within the team. This atmosphere might make team members feel inhibited from openly sharing their opinions or inversely, foster open communication of ideas. Depending on the organizational strategies, firms may choose to emphasize one of the two tacit knowledge facilitators for tacit knowledge sharing in enterprise system teams. For example, the project managers in one of the companies in Jones case study [10]organized the team based on process rather than functions while deemphasizing ranks and seniorities and providing equal bonus to all team members. They also made knowledge sharing part of the contract with the external consultant. Such a structure that governs team interactions facilitates sharing of tacit knowledge during the enterprise system project. Another company in the same study focused more on providing an atmosphere where team members felt free to express ideas and others were willing to listen. There were also off-site meetings arranged for team members to provide more intimate knowledge sharing atmospheres which could help preserve knowledge while people transitioned on and off the team. Although tacitness of the enterprise system knowledge is the most important characteristic of ERP knowledge which is reflected in the literature, the effects of the process-based nature of ERP knowledge is also addressed in many research works [14,29,17]. Process-based nature of knowledge implies that organizational processes embed substantial knowledge of the organization s history and paradigms and since this knowledge is not confined to a specific mind s cognition and is stored in form of processes, it can be regarded as the organizational memory. Viewing the enterprise system knowledge from the lens of organizational memory has certain implications for enterprise system knowledge management in terms of its enabling or impeding factors in ERP projects. The following sections review the issues related to enabling and impeding effects of organizational memory on ERP knowledge management. 9. Process-based nature of ERP knowledge through the lens of organizational memory Organizational processes embed substantial knowledge of the organization s history and paradigms that can be brought to bear when making decisions in ERP projects [29]. As a matter of fact they can be regarded as the organizational memory since they are not confined in a specific mind s cognitions and are stored in form of processes [17]. Process modeling is used to translate process knowledge into models that can be used to configure the enterprise system and adjust the organizational processes. One important issue in enterprise system implementation is determining the extent to which organizational processes need to be changed to fit into the enterprise system framework and the extent to which the enterprise system must be customized to address existing routines in the organization. The process knowledge and paradigm in the firm may not necessarily be the same as the one incorporated within the enterprise system [23] and if this mismatch is not reconciled, it is expected that the ERP implementation will be sub-optimal. One way of approaching this issue is to have a clear understanding of the underlying structure and organizational culture behind the processes and to interrelate them with ERP knowledge incorporated into best practices. The perception of the process-based organizational memory regulates the handling methods in dealing with the mismatches during ERP projects [29]. One extreme of such behaviors is to adopt the entire process knowledge from the new system and change the organization s paradigm accordingly. On the other extreme it could result in extensive customizations of enterprise system to incorporate the organization s process knowledge and paradigms into the system. Considering processes as a medium for organizational memory, Stijin and Wensley [29] suggest that the new processes introduced by enterprise system may well embed some, but by no means all, of process knowledge that resides in organizations. Careful considerations are necessary in identifying exactly where different types of process knowledge reside in organizations and decisions will have to be made as to what type of process knowledge can be integrated into the new system and what other types will continue to reside in other memory media [34]. Moreover, interactions must be available among the process knowledge stored in these different media so that informed decisions can be made and the knowledge can be updated as the enterprise system project progresses. Huang et al. [9] describe the dynamics of the process by which existing organizational memory and processes knowledge is modified as a result of implementing the new ERP system. They argue that organizational processes as representations of cross-functional knowledge are continuously redefined by the various initiatives implemented in the organization. As mentioned before, this echoes the concept of organizational memory which is constantly reconfigured through incremental or fundamental changes. The impact of ERP-induced business process redesign (BPR) on the patterns of organizational memory in the organization under study in [9] was found to be in the form of the redirection of knowledge flows across the organization. The organizational memory was previously shaped around fostering organizational boundaries which served as vales in controlling the availability and accessibility of information. Adopting the enterprise system tended to reshape the organizational memory in a way that minimized the information boundaries. Nevertheless, they also suggest that although the enterprise system facilitates the free flow of information, the challenge of knowledge integration may still be remaining and despite the successful implementation of enterprise system and benefits from ongoing capital investment, patterns of organizational memory might be deviating from the ideal ERP knowledge integra-

6 R. Vandaie / Knowledge-Based Systems 21 (2008) tion requirements, which in turn can flaw the implementation in the long run. 10. Organizational memory, barrier or enabler? In their exploratory study of ERP implementation issues, Robey et al. [23] discovered that most of the managers in their study who were involved in implementation projects reflected a concern with learning and knowledge. These managers believed that the main barrier to a successful enterprise system implementation was the firm s knowledge of existing systems and business processes. In other words, they saw the so-far-shaped organizational memory as an obstacle to acquiring the knowledge paradigm of the new system. Managers who were trying to comprehend the new business processes enabled by the enterprise system needed to reconcile the demands for new knowledge with their knowledge of old systems and procedures. The issue reflected in this case study raises the question of whether or not the organizational memory embedded in its processes acts as a barrier to enterprise system implementation. ERP implementation challenges established knowledge of the organization in two ways. First, packaged format of ERP allows little customization. Second, as enterprise system replaces existing legacy systems, it also replaces the processes supported by those systems that requires the organization to assimilate new business processes and manage its consequences. Old processes are deeply embedded into organizational memory which induces some sort of resistance against assimilating the best practices. In addition, organizational memory is supported by organizational structures which might even exacerbate the resistance during the change process. Typically high and medium level managers traditionally enjoy great autonomy in the organizational structure and processes [3]. Enterprise system is designed to restructure a processcentered paradigm in the organization [32]. As a consequence, enterprise systems typically require organizations to get rid of most of their organizational memory about technical infrastructures and especially, about their business processes. Most firms have had built information systems to support existing processes prior to implementing enterprise systems; while by implementing the ERP system, they are using it to change their business processes [17]. These new demands require substantial organizational learning, and different firms use a variety of means for overcoming knowledge barriers associated with it. In simple terms, implementing an enterprise system means that organizations must learn to function in radically different ways than what they have learned during the course of past experiences. Ignoring this essential characteristic of ERP implementation can heavily hamper the success of the whole project. Arranging powerful core enterprise system implementation teams and effective utilization of external consulting are believed to be effective methods of dealing with the knowledge barriers connected with assimilating new processes and overcoming resistance due to past organizational memory [9,29,23]. Core ERP teams that stay together, act coherently and are motivated by incentives to finish the project are very influential to overcoming knowledge barriers. Core teams become a key repository of new knowledge that facilitates the transition of the organizational memory to the new knowledge paradigm. They also help to distribute knowledge throughout the organization as they come into contact with users and start transferring their expertise to others. If organizations manage to retain the core team, the transformation and transition of the organizational memory can be completed and the essential knowledge integration will be accomplished [29]. However, retaining an effective core team is not easy since as repositories of practical knowledge, members of core teams became valuable to other organizations, especially consulting companies, which regularly extend lucrative offers to ERP-Savvy employees. External consultants also operate as intermediaries who facilitate organizational learning by bringing in external knowledge [33,23]. ERP technology is new and complex for many firms and it is difficult for a company to embark on such an endeavor without external knowledge. With their expertise in configuring the organizational processes and adjusting them to the new system, consulting partners act as accelerators of organizational learning and alleviate the negative effect of the organizational memory of old processes. However, most successful firms limit their dependence on consultants and take measures to ensure the transfer of external knowledge into the organization [8]. Effective use of consulting requires a firm to remain in control of the consultant-client relationship and make sure that the requisite knowledge is transferred into the organization so that the possibility of resuming the past status of organizational memory under the resistance force is minimized. 11. Conclusion and discussion By means of a rather comprehensive review of the literature on enterprise system knowledge management, this paper investigated the major concerns of the different lines of research which arise as the consequences of two distinct characteristics of ERP-specific knowledge: tacit and process-based nature of enterprise system knowledge. Fig. 1 summarizes these two areas of concern in enterprise system knowledge management along with their facilitators that moderate their negative effects which are identified to be prevalent in cases studied by different researchers. The first area concerns the effects and implications of the tacit chunk of ERP-specific knowledge. The subject of tacit knowledge management is addressed extensively in the literature and different issues along with their respective mitigating solutions are provided in various research works [16,5,10]. Tacit knowledge sharing facilitators during enterprise system implementation are classified into two categories [28,20,10]: structure of team interactions and atmosphere of the team. Proper utilization of each method can assist the adopting organization in overcoming the difficulties of tacit knowledge sharing. Organizing communities of practice composed of the different groups involved in different stages of the enterprise system life cycle is one way to overcome the difficulties of transferring such knowledge from where it resides to where it is needed. In case of running the enterprise system project on distant locations [18], virtual communities centered around company intranets or the internet acts as the facilitating bridge among separate bodies of knowledge across the entire enterprise. Process-based nature of organizational knowledge, is the second area of concern in enterprise system knowledge management which was examined from the lens of organizational memory. Organizational processes embed substantial knowledge of the organization s history and can be regarded as the organizational memory. Viewing the ERP knowledge through the lens of organizational memory sheds light onto some interesting issues of concern in ERP implementation projects. Arranging powerful core enterprise system implementation teams and effective utilization of external consulting were identified to be among most preferred methods of dealing with the knowledge barriers connected with enterprise system configuration caused by difficulties associated with organizational memory. The standardization which results from adopting the same best practices of enterprise system packages by many organizations might give rise to concerns about loosing competitive advantage. In particular, the two subjects reviewed here are very illustrative

7 926 R. Vandaie / Knowledge-Based Systems 21 (2008) Fig. 1. Two major areas of concern regarding the management of enterprise system knowledge and their respective facilitators. with this regard. The competitive advantage arises from the organization s capabilities in internalizing and integrating the adopted processes and their knowledge paradigm into the organization during the enterprise system implementation project. Part of this capability could be in the form of restructuring the organizational roles in order to increase knowledge transfer and fill the gap between the knowledge base of employees and knowledge requirements of the ERP system [16]. Tacitness of a great part of enterprise system knowledge implies that an effective knowledge management policy must be in place along with the ERP implementation project to ensure that the implementation is not simplified to installing a software package and the organization is actually reinforced by the essential enabling elements of the enterprise system. Along with tacit knowledge management, the ability of handling the challenges originated from previously shaped organizational memory of process knowledge also contributes to the competitive advantage for the organization. To the extent that the internalization of tacit knowledge is leveraged and the resistance against the assimilation of the process knowledge of the best practices is overcome during the ERP project, it is expectable that the new system will add to the competitive advantages of the adopting organization. References [1] M. Alavi, D.E. Leidner, Review. Knowledge management and knowledge management systems: conceptual foundations and research issues, MIS Quarterly 25 (1) (2001) [2] R. Baskerville, S. Pawlowski, E. McLean, Enterprise resource planning and organizational knowledge: patterns of convergence and divergence, in: Proceedings of the 21st ICIS conference, [3] M. Beer, N. Nohria, Cracking the code of change, Harvard Business Review 78 (3) (2000) [4] M. Earl, Knowledge management strategies: toward a taxonomy, Journal of Management Information Systems 18 (1) (2001) [5] T. Elliman, J. Eatock, Modelling knowledge worker behaviour in business process studies, Journal of Enterprise Information Management 18 (1) (2005). [6] T.L. Griffith, J.E. Sawyer, M.A. Neale, Virtualness and knowledge in teams: managing the love triangle of organizations, individuals, and information technology, Mis Quarterly 27 (2) (2003) [7] V. Grover, T.H. Davenport, General perspectives on knowledge management: fostering a research agenda, Journal of Management Information Systems 18 (1) (2001) [8] C. Holland, B. Light, A stage maturity model for enterprise resource planning systems use, The DATA BASE for Advances Information Systems 32 (2) (2001). [9] J. Huang, S. Newell, S. Pan, Knowledge integration processes within the context of enterprise resources planning (ERP) systems implementation, in: Proceedings of the 9th ECIS Conference, [10] M. Jones, Tacit knowledge sharing during ERP implementation: a multi-site case study, Information Resource Management Journal 18 (2) (2005) [11] M. Jones, R. Price, organizational knowledge sharing in ERP implementation: lessons from industry, Journal of Organizational and End User Computing 16 (1) (2004). [12] M.C. Jones, M. Cline, S. Ryan, Exploring knowledge sharing in ERP implementation: an organizational culture framework, Decision Support Systems 41 (2) (2006) [13] J. Kallinikos, Deconstructing information packages, Information Technology and People 17 (1) (2004). [14] A. Kwang-Tat, T. James, Y., Chee-Sing, IT implementation through the lens of organizational learning: a case study of insuror, in: Proceedings of the Eighteenth International Conference on Information Systems, [15] J. Lee, K. Siau, S. Hong, Enterprise integration with ERP and EAI, Communications of the ACM 46 (2) (2003) [16] Z. Lee, J.Y. Lee, An ERP implementation case study from a knowledge transfer perspective, Journal of Information Technology 15 (4) (2000) [17] Y. Malhorta, integrating knowledge management technologies in organizational business processes: getting real time enterprise to deliver real business performance, Journal of Knowledge Management 9 (1) (2005) [18] M.L. Markus, C. Tanis, P.C. van Fenema, Multisite ERP implementations, Communications of the ACM 43 (4) (2000) [19] S. Newell, J. Huang, R. Galliers, Implementing enterprise resource planning and knowledge management systems in tandem: fostering efficiency and innovation complementarity, Information and Organization 13 (2003). [20] S. Newell, C. Tansley, J. Huang, Social capital and knowledge creation in an ERP project team, in: Proceedings of the 7th AMCIS, [21] I. Nonaka, H. Takeuchi, Knowledge-Creating Company, Oxford University Press, [22] D. O Larry, knowledge management across the enterprise resource planning systems life cycle, International Journal of Accounting Information Systems 3 (2002). [23] D. Robey, J.W. Ross, M.C. Boudreau, Learning to implement enterprise systems: an exploratory study of the dialectics of change, Journal of Management Information Systems 19 (1) (2002) [24] U. Schultze, D.E. Leidner, Studying knowledge management in information systems research: discourses and theoretical assumptions, Mis Quarterly 26 (3) (2002) [25] J.E. Scott, Post implementation usability of ERP training manuals: the user s perspective, Information Systems Management 22 (2) (2005) [26] J.E. Scott, I. Vessey, Managing risks in enterprise systems implementations, Communications of the ACM 45 (4) (2002) [27] C. Soh, S.S. Kien, J. Tay-Yap, Cultural fits and misfits: is ERP a universal solution?, Communications of the ACM 43 (4) (2000) [28] D. Stenmark, Leveraging tacit organizational knowledge, Journal of Management Information Systems 17 (3) (2000) [29] E. Stijin, A. Wensley, organizational memory and completeness of process modeling in ERP systems, Business Process Management Journal 7 (3) (2001). [30] M. Sumner, Risk factors in enterprise-wide/erp projects, Journal of Information Technology 15 (4) (2000) [31] S.W. Sussman, W.S. Siegal, Informational influence in organizations: an integrated approach to knowledge adoption, Information Systems Research 14 (1) (2003) [32] P. Weill, R. Woodham, Don t Just Lead Govern, Implementing Effective IT Governance, MIT Sloan School of Management Working Paper, [33] L. Willcocks, R. Sykes, The role of the CIO and IT function in ERP, Communications of the ACM 43 (4) (2000) [34] J. Worley, K. Chatha, R. Weston, implementation and optimization of ERP systems: a better integration of processes, roles, knowledge and user competencies, Computers in Industry 56 (2005).

The Role of Tacit Knowledge Management in ERP Systems Implementation

The Role of Tacit Knowledge Management in ERP Systems Implementation 78 The Role of Tacit Knowledge Management in ERP Systems Implementation Iuliana SCORŢA Academy of Economic Studies, Bucharest, România iuliana.scorta@ie.ase.ro Many organizations that implemented ERP systems

More information

KNOWLEDGE MANAGEMENT IN SUCCESS OF ERP SYSTEMS

KNOWLEDGE MANAGEMENT IN SUCCESS OF ERP SYSTEMS KNOWLEDGE MANAGEMENT IN SUCCESS OF ERP SYSTEMS Usman Musa Zakari Usman, Mohammad Nazir Ahmad Department of Information Systems, Faculty of Computer Science and Information Systems Universiti Teknologi

More information

ERP SYSTEMS IMPLEMENTATION: FACTORS

ERP SYSTEMS IMPLEMENTATION: FACTORS ERP SYSTEMS IMPLEMENTATION: FACTORS INFLUENCING SELECTION OF A SPECIFIC APPROACH? Björn Johansson bj.caict@cbs.dk Frantisek Sudzina fs.caict@cbs.dk Center for Applied ICT, Copenhagen Business School Abstract

More information

How To Use Data Mining For Knowledge Management In Technology Enhanced Learning

How To Use Data Mining For Knowledge Management In Technology Enhanced Learning Proceedings of the 6th WSEAS International Conference on Applications of Electrical Engineering, Istanbul, Turkey, May 27-29, 2007 115 Data Mining for Knowledge Management in Technology Enhanced Learning

More information

12 A framework for knowledge management

12 A framework for knowledge management 365 12 A framework for knowledge management As those who work in organizations know, organizations are not homogenous entities where grand theoretical systems are easily put in place. Change is difficult.

More information

Focus on Critical Success factors in ERP Implementation

Focus on Critical Success factors in ERP Implementation International Journal of Engineering Research and Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 11, Issue 11 (November 2015), PP.68-74 Focus on Critical Success factors in ERP

More information

Proceedings of the 41st International Conference on Computers & Industrial Engineering

Proceedings of the 41st International Conference on Computers & Industrial Engineering Surveying Enterprise Resource Planning (ERP) failure factors in governmental organizations in Middle East Seyed hossien Iranmanesh Department of Industrial Engineering, Damavand Branch, Islamic Azad Univesity,

More information

Proceedings of the 41st International Conference on Computers & Industrial Engineering

Proceedings of the 41st International Conference on Computers & Industrial Engineering Surveying Enterprise Resource Planning (ERP) success factors in governmental organizations in Middle East Seyed Mohamad Mahdi kazemi Department of Endustrial Engineering, Damavand Branch, Islamic Azad

More information

Chapter 13: Knowledge Management In Nutshell. Information Technology For Management Turban, McLean, Wetherbe John Wiley & Sons, Inc.

Chapter 13: Knowledge Management In Nutshell. Information Technology For Management Turban, McLean, Wetherbe John Wiley & Sons, Inc. Chapter 13: Knowledge Management In Nutshell Information Technology For Management Turban, McLean, Wetherbe John Wiley & Sons, Inc. Objectives Define knowledge and describe the different types of knowledge.

More information

Critical Success Factors for ERP System Implementation

Critical Success Factors for ERP System Implementation Critical Success Factors for ERP System Implementation Jun Wu School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing100876, China wujun1127@vip.sina.com Abstract.

More information

Envisioning a Future for Public Health Knowledge Management

Envisioning a Future for Public Health Knowledge Management Envisioning a Future for Public Health Knowledge Management By Cadence Group Public health today faces challenges and opportunities of a degree that it has never seen before. Never before have methods

More information

E-Learning at Kyongju University in Seoul, Korea: the Present and the Future

E-Learning at Kyongju University in Seoul, Korea: the Present and the Future E-Learning at Kyongju University in Seoul, Korea: the Present and the Future Hyunju Jeung, Ph D Full-time lecturer Kyongju University hjeung@kyongju.ac.kr Abstract Internet is spreading fast in our lives.

More information

Organizational Change in ERP Implementation: A dialectical perspective

Organizational Change in ERP Implementation: A dialectical perspective Organizational Change in ERP Implementation: A dialectical perspective Mei-Hsia Chiang, Department of Information Management, Hsing Wu University, Taiwan ABSTRACT Dialectical perspectives have been used

More information

Integration of E-education and Knowledge Management

Integration of E-education and Knowledge Management Integration of E-education and Knowledge Management Liyong Wan 1, Chengling Zhao 2, and Wei Guo 2 1 College of Humanity and Social Science, Wuhan University of Science and Engineering,Wuhan,China,wanliyongccnu@yahoo.com.cn

More information

Cover Page. The handle http://hdl.handle.net/1887/33081 holds various files of this Leiden University dissertation.

Cover Page. The handle http://hdl.handle.net/1887/33081 holds various files of this Leiden University dissertation. Cover Page The handle http://hdl.handle.net/1887/33081 holds various files of this Leiden University dissertation. Author: Stettina, Christoph Johann Title: Governance of innovation project management

More information

Introduction to Management Information Systems

Introduction to Management Information Systems IntroductiontoManagementInformationSystems Summary 1. Explain why information systems are so essential in business today. Information systems are a foundation for conducting business today. In many industries,

More information

Copyright subsists in all papers and content posted on this site.

Copyright subsists in all papers and content posted on this site. Student First Name: Ahmad Student Second Name: Al-Halak Copyright subsists in all papers and content posted on this site. Further copying or distribution by any means without prior permission is prohibited,

More information

A methodology for knowledge based project management (Work in progress)

A methodology for knowledge based project management (Work in progress) A methodology for knowledge based project management (Work in progress) Patrick Onions patrick@knowledgestudio.co.uk 23 January 2007 The characteristics of our late 20th century society demand the development

More information

The Research of Small and Medium Enterprises Knowledge Management Based on Document Strategy

The Research of Small and Medium Enterprises Knowledge Management Based on Document Strategy The Research of Small and Medium Enterprises Knowledge Management Based on Document Strategy YU Lijuan School of Management, Beijing Union University, China, 100101 gltlijuan@buu.edu.cn Abstract: According

More information

Abstract number: 020-0564. Knowledge management between companies and local governance in industrial. clusters. Department of Production Engineering

Abstract number: 020-0564. Knowledge management between companies and local governance in industrial. clusters. Department of Production Engineering Abstract number: 020-0564 Knowledge management between companies and local governance in industrial clusters Rafael Henrique Palma Lima 1 and Luiz Cesar Ribeiro Carpinetti 2 Department of Production Engineering

More information

GROUPING OF CRITICAL SUCCESS FACTORS FOR ERP IMPLEMENTATIONS

GROUPING OF CRITICAL SUCCESS FACTORS FOR ERP IMPLEMENTATIONS 316 ABSTRACT GROUPING OF CRITICAL SUCCESS FACTORS FOR ERP IMPLEMENTATIONS T.SUGANTHALAKSHMI*; C MOTHUVELAYUTHAN** *Assistant Professor, School of Management Studies, Anna University of Technology. Coimbatore.

More information

PART I. Chapter 1. Networking in Society, Organisations and Education

PART I. Chapter 1. Networking in Society, Organisations and Education ISBN 92-64-10034-2 Networks of Innovation Towards New Models for Managing Schools and Systems OECD 2003 PART I Chapter 1 Networking in Society, Organisations and Education by Hans F. van Aalst Katholiek

More information

CSR / Sustainability Governance and Management Assessment By Coro Strandberg Principal, Strandberg Consulting www.corostrandberg.

CSR / Sustainability Governance and Management Assessment By Coro Strandberg Principal, Strandberg Consulting www.corostrandberg. Introduction CSR / Sustainability Governance and Management Assessment By Coro Strandberg Principal, Strandberg Consulting www.corostrandberg.com June 2015 Companies which adopt CSR or sustainability 1

More information

LINKING ORGANIZATIONAL PROCESSES TO KNOWLEDGE MANAGEMENT PROCESSES IN THE CASE OF KNOWLEDGE INTENSIVE ORGANIZATIONS: A THEORETICAL FRAMEWORK

LINKING ORGANIZATIONAL PROCESSES TO KNOWLEDGE MANAGEMENT PROCESSES IN THE CASE OF KNOWLEDGE INTENSIVE ORGANIZATIONS: A THEORETICAL FRAMEWORK LINKING ORGANIZATIONAL PROCESSES TO KNOWLEDGE MANAGEMENT PROCESSES IN THE CASE OF KNOWLEDGE INTENSIVE ORGANIZATIONS: A THEORETICAL FRAMEWORK, CREPA Laboratory, Paris-Dauphine University, France Mouna.Benchouikha@dauphine.fr

More information

Computing & Communications Services

Computing & Communications Services 2010 Computing & Communications Services 2010 / 10 / 04 Final Kent Percival, M.Sc., P.Eng. Defining the Value of the Business Analyst In achieving its vision, key CCS partnerships involve working directly

More information

Business Process Reengineering (BPR) and Thai Small and Medium Enterprises (SMEs)

Business Process Reengineering (BPR) and Thai Small and Medium Enterprises (SMEs) 2011 International Conference on Management and Service Science IPEDR vol.8 (2011) (2011) IACSIT Press, Singapore Business Process Reengineering (BPR) and Thai Small and Medium Enterprises (SMEs) Sittichok

More information

Knowledge Management

Knowledge Management Knowledge Management Management Information Code: 164292-02 Course: Management Information Period: Autumn 2013 Professor: Sync Sangwon Lee, Ph. D D. of Information & Electronic Commerce 1 00. Contents

More information

ERP implementation and Organization Changes

ERP implementation and Organization Changes ERP implementation and Organization Changes Jen Yin YEH Fortune Institute of Technology University of South Australia jenyiny@yahoo.com.tw Abstract Numerous ERP evaluations have been presented in previous

More information

Constructing the Knowledge Model in ERP Implementation

Constructing the Knowledge Model in ERP Implementation Constructing the Knowledge Model in ERP Implementation Jiangao Deng and Yijie Bian Business School, Hohai University, Nanjing 210098, Jiangsu, P.R.China djgwmdkx@163.com byj@hhu.edu.cn Abstract. Successful

More information

ENTERPRISE Resource Planning (ERP) software is one

ENTERPRISE Resource Planning (ERP) software is one 322 IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, VOL. 51, NO. 3, AUGUST 2004 A Framework for Evaluating ERP Implementation Choices Wenhong Luo and Diane M. Strong Abstract A key issue in enterprise resource

More information

SAMPLE JOB DESCRIPTIONS

SAMPLE JOB DESCRIPTIONS SAMPLE JOB DESCRIPTIONS In this section we have provided a number of sample job descriptions. We hope that they will provide you with guidance as you develop job descriptions(s). Level Title Page Consultant

More information

THE ROLE OF CULTURE IN KNOWLEDGE MANAGEMENT. Woo-Soon Park Department of Public Administration, Dong-A University, Pusan 602-714 Korea

THE ROLE OF CULTURE IN KNOWLEDGE MANAGEMENT. Woo-Soon Park Department of Public Administration, Dong-A University, Pusan 602-714 Korea THE ROLE OF CULTURE IN KNOWLEDGE MANAGEMENT Woo-Soon Park Department of Public Administration, Dong-A University, Pusan 602-714 Korea Keywords: knowledge, knowledge management, knowledge organization,

More information

RISK FACTORS IN ERP IMPLEMENTATIONS: HIERARCHICAL AND LINEAR RELATIONSHIPS

RISK FACTORS IN ERP IMPLEMENTATIONS: HIERARCHICAL AND LINEAR RELATIONSHIPS RISK FACTORS IN ERP IMPLEMENTATIONS: HIERARCHICAL AND LINEAR RELATIONSHIPS Vanderklei, Mark, University of Canterbury, Christchurch 8140, New Zealand, mark.vanderklei@canterbury.ac.nz Abstract Enterprise

More information

Factors for the Acceptance of Enterprise Resource Planning (ERP) Systems and Financial Performance

Factors for the Acceptance of Enterprise Resource Planning (ERP) Systems and Financial Performance Factors for the Acceptance of Enterprise Resource Planning (ERP) Systems and Financial Performance Ayman Bazhair and Kamaljeet Sandhu Abstract The purpose of this research paper to present the synthesized

More information

8th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, September 18 th -20 th, 2001

8th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, September 18 th -20 th, 2001 APPLICATION OF MATHEMATICAL PRINCIPLES TO THE FORMALISATION OF A SYSTEM- BASED MODELLING FRAMEWORK : APPLICATION TO ENTERPRISE SYSTEMS F. Mayer and J.P. Lavigne LRGSI (Industrial System Engineering Research

More information

Enterprise Architecture: a Model for Business Data Management

Enterprise Architecture: a Model for Business Data Management Enterprise Architecture: a Model for Business Data Management Francesco Bellini, Fabrizio D Ascenzo, Alessandra Ghi, Roberto Ruggieri, Francesca Spagnoli, and Valeria Traversi Department of Management,

More information

73. Human Processes in Customer Relationship Management

73. Human Processes in Customer Relationship Management 73. Human Processes in Customer Relationship Management Shari S. C. Shang National Chengchi University, Taiwan shari_shang@yahoo.com Chih-Hsiang Chen National Chengchi University, Taiwan 94356032@nccu.edu.tw

More information

THE ROLE OF KNOWLEDGE MANAGEMENT SYSTEM IN SCHOOL: PERCEPTION OF APPLICATIONS AND BENEFITS

THE ROLE OF KNOWLEDGE MANAGEMENT SYSTEM IN SCHOOL: PERCEPTION OF APPLICATIONS AND BENEFITS THE ROLE OF KNOWLEDGE MANAGEMENT SYSTEM IN SCHOOL: PERCEPTION OF APPLICATIONS AND BENEFITS YOHANNES KURNIAWAN Bina Nusantara University, Department of Information Systems, Jakarta 11480, Indonesia E-mail:

More information

Creation of Innovation by Knowledge Management A case study of a learning software organisation

Creation of Innovation by Knowledge Management A case study of a learning software organisation Creation of Innovation by Knowledge Management A case study of a learning software organisation Karin Auernhammer Mark Neumann Annette Leslie Fiona Lettice Fraunhofer IAO Cranfield University Nobelstr.

More information

Leveraging Knowledge Capital

Leveraging Knowledge Capital Leveraging Capital INTRODUCTION Leveraging knowledge capital in the Federal Government is increasingly critical today because: Reductions in staffing create a need to replace informal methods for sharing

More information

Strategic solutions to drive results in matrix organizations

Strategic solutions to drive results in matrix organizations Strategic solutions to drive results in matrix organizations Copyright 2004-2006, e-strategia Consulting Group, Inc. Alpharetta, GA, USA or subsidiaries. All International Copyright Convention and Treaty

More information

KNOWLEDGE NETWORK SYSTEM APPROACH TO THE KNOWLEDGE MANAGEMENT

KNOWLEDGE NETWORK SYSTEM APPROACH TO THE KNOWLEDGE MANAGEMENT KNOWLEDGE NETWORK SYSTEM APPROACH TO THE KNOWLEDGE MANAGEMENT ZHONGTUO WANG RESEARCH CENTER OF KNOWLEDGE SCIENCE AND TECHNOLOGY DALIAN UNIVERSITY OF TECHNOLOGY DALIAN CHINA CONTENTS 1. KNOWLEDGE SYSTEMS

More information

Tacit Knowledge versus Explicit Knowledge. Approaches to Knowledge Management Practice

Tacit Knowledge versus Explicit Knowledge. Approaches to Knowledge Management Practice Tacit Knowledge versus Explicit Knowledge Approaches to Knowledge Management Practice by Ron Sanchez Professor of Management, Copenhagen Business School and Linden Visiting Professor for Industrial Analysis,

More information

Knowledge Management & Process Performance: Implications for Action

Knowledge Management & Process Performance: Implications for Action Knowledge Management & Process Performance: Implications for Action Fred Nickols Introduction "How does Knowledge Management (KM) improve performance? In particular, how does it improve financial and operational

More information

Chapter 5 Information Technology and Changing Business Processes

Chapter 5 Information Technology and Changing Business Processes Chapter 5 Information Technology and Changing Business Processes Managing and Using Information Systems: A Strategic Approach by Keri Pearlson & Carol Saunders Introduction How can IT enable business change?

More information

Customer Service Analytics: A New Strategy for Customer-centric Enterprises. A Verint Systems White Paper

Customer Service Analytics: A New Strategy for Customer-centric Enterprises. A Verint Systems White Paper Customer Service Analytics: A New Strategy for Customer-centric Enterprises A Verint Systems White Paper Table of Contents The Quest for Affordable, Superior Customer Service.....................................

More information

Knowledge Management and Organizational Learning:

Knowledge Management and Organizational Learning: Lund Institute of Economic Research Working Paper Series Knowledge Management and Organizational Learning: Fundamental Concepts for Theory and Practice 2005/3 Ron Sanchez Ron Sanchez, Professor of Management

More information

KNOWLEDGE INTEGRATION AS A KEY PROBLEM IN AN ERP IMPLEMENTATION

KNOWLEDGE INTEGRATION AS A KEY PROBLEM IN AN ERP IMPLEMENTATION KNOWLEDGE INTEGRATION AS A KEY PROBLEM IN AN ERP IMPLEMENTATION Shan L. Pan School of Computing National University of Singapore PANSL@comp.nus.edu.sg Sue Newell School of Management Royal Holloway, University

More information

EXECUTIVE BEHAVIORAL INTERVIEW GUIDE

EXECUTIVE BEHAVIORAL INTERVIEW GUIDE EXECUTIVE BEHAVIORAL INTERVIEW GUIDE INTERVIEW GUIDE INSTRUCTIONS: This Interview Guide is intended to help hiring executives conduct behavioral interviews for executive classifications covered by the

More information

Executive Summary. At the end of the twentieth century and. Enterprise Systems for Higher Education Vol. 4, 2002

Executive Summary. At the end of the twentieth century and. Enterprise Systems for Higher Education Vol. 4, 2002 01 Executive Summary At the end of the twentieth century and into the twenty-first, higher education has invested, by a conservative estimate, $5 billion in administrative and enterprise resource planning

More information

Success in Knowledge Management: Against the Revolutionary Approach

Success in Knowledge Management: Against the Revolutionary Approach Success in Knowledge Management: Against the Revolutionary Approach Dr Katharine Schopflin, MA (Hons) MA MCLIP PhD Freelance Knowledge and Information Manager Abstract KM (Knowledge Management) programs

More information

Supply chain management in the ERP industry

Supply chain management in the ERP industry Chapter 5 Supply chain management in the ERP industry 5.1 Introduction Supply chain management is a management philosophy that takes a systems approach to viewing the supply chain as a single entity (Mentzer

More information

Using a KMERP Framework to Enhance Enterprise Resource Planning (ERP) Implementation

Using a KMERP Framework to Enhance Enterprise Resource Planning (ERP) Implementation www.ijcsi.org 594 Using a KMERP Framework to Enhance Enterprise Resource Planning (ERP) Implementation Hamdan M. Al-Sabri, and Saleh M. Al-Saleem Department of Information Systems, College of Computer

More information

Miracle Integrating Knowledge Management and Business Intelligence

Miracle Integrating Knowledge Management and Business Intelligence ALLGEMEINE FORST UND JAGDZEITUNG (ISSN: 0002-5852) Available online www.sauerlander-verlag.com/ Miracle Integrating Knowledge Management and Business Intelligence Nursel van der Haas Technical University

More information

3. What is Knowledge Management

3. What is Knowledge Management 3. What is Knowledge Management ETL525 Knowledge Management Tutorial One 5 December 2008 K.T. Lam lblkt@ust.hk Last updated: 4 December 2008 KM History The subject of KM was originally arisen in the field

More information

IT OUTSOURCING: A KNOWLEDGE-MANAGEMENT PERSPECTIVE

IT OUTSOURCING: A KNOWLEDGE-MANAGEMENT PERSPECTIVE IT OUTSOURCING: A KNOWLEDGE-MANAGEMENT PERSPECTIVE Mohammed H. A. Tafti, Hofstra Universit, mohammed.h.tafti@hofstra.edu ABSTRACT The transfer of all or part of information technology (IT) functions from

More information

The Knowledge of Business Intelligence

The Knowledge of Business Intelligence The Knowledge of Business Intelligence 34 th International Conference on Information Technology Interfaces June 2012 Clyde W. Holsapple 2012 The Knowledge of Business Intelligence Basic Proposition Business

More information

THE e-knowledge BASED INNOVATION SEMINAR

THE e-knowledge BASED INNOVATION SEMINAR The Kaieteur Institute For Knowledge Management THE e-knowledge BASED INNOVATION SEMINAR OVERVIEW! Introduction Knowledge is a new form of renewable and intangible energy that is transforming many organizations.

More information

Developing Collaborative Environments A Holistic Software Development Methodology Marge Petersen and John Mitchiner Sandia National Laboratories

Developing Collaborative Environments A Holistic Software Development Methodology Marge Petersen and John Mitchiner Sandia National Laboratories Developing Collaborative Environments A Holistic Software Development Methodology Marge Petersen and John Mitchiner Sandia National Laboratories mbpeter@sandia.gov jlmitch@sandia.gov Abstract Sandia National

More information

INFO1400. 1. What are business processes? How are they related to information systems?

INFO1400. 1. What are business processes? How are they related to information systems? Chapter 2 INFO1400 Review Questions 1. What are business processes? How are they related to information systems? Define business processes and describe the role they play in organizations. A business process

More information

Session One. Introduction to Knowledge Management

Session One. Introduction to Knowledge Management Knowledge Management Session One Introduction to Knowledge Management Knowledge economy Economic performance based on knowledge, technology and learning Mobilising knowledge to add value to goods and services

More information

MBA Dissertation Summary

MBA Dissertation Summary MBA Dissertation Summary Barriers and Enablers to Environmental Sustainability Implementation in UK Business The purpose of the dissertation was to answer the following research question: What are the

More information

Knowledge Management Systems and their Impact on Knowledge-Intensive Business Processes

Knowledge Management Systems and their Impact on Knowledge-Intensive Business Processes Knowledge Management Systems and their Impact on Knowledge-Intensive Business Processes José Antonio Robles-Flores Doctoral Program in Information Systems W.P. Carey School of Business Arizona State University

More information

A Review of Knowledge Management Models Haslinda, A. 1 Sarinah, A. 2

A Review of Knowledge Management Models Haslinda, A. 1 Sarinah, A. 2 A Review of Management Models Haslinda, A. 1 Sarinah, A. 2 Abstract Management caters to the critical issues of organizational adaptation, survival, and competence in face of increasingly discontinuous

More information

Center for Effective Organizations

Center for Effective Organizations Center for Effective Organizations WHAT MAKES HR A STRATEGIC PARTNER? CEO PUBLICATION G 09-01 (555) EDWARD E. LAWLER III Center for Effective Organizations Marshall School of Business University of Southern

More information

How To Change A Business Model

How To Change A Business Model SOA governance and organizational change strategy White paper November 2007 Enabling SOA through organizational change Sandy Poi, Global SOA Offerings Governance lead, associate partner, Financial Services

More information

KNOWLEDGE MANAGEMENT IN DISASTER RISK REDUCTION

KNOWLEDGE MANAGEMENT IN DISASTER RISK REDUCTION KNOWLEDGE MANAGEMENT IN DISASTER RISK REDUCTION The Indian Approach Government of India Ministry of Home Affairs National Disaster Management Division The document is prepared by a team comprising of Sujit

More information

An Integrated Methodology for Implementing ERP Systems

An Integrated Methodology for Implementing ERP Systems APDSI 2000 Full Paper (July, 2000) An Integrated Methodology for Implementing ERP Systems Su-Yeon Kim 1), Eui-Ho Suh 2), Hyun-Seok Hwang 3) 1) Department of Industrial Engineering, POSTECH, Korea (tomi@postech.edu)

More information

Methods Commission CLUB DE LA SECURITE DE L INFORMATION FRANÇAIS. 30, rue Pierre Semard, 75009 PARIS

Methods Commission CLUB DE LA SECURITE DE L INFORMATION FRANÇAIS. 30, rue Pierre Semard, 75009 PARIS MEHARI 2007 Overview Methods Commission Mehari is a trademark registered by the Clusif CLUB DE LA SECURITE DE L INFORMATION FRANÇAIS 30, rue Pierre Semard, 75009 PARIS Tél.: +33 153 25 08 80 - Fax: +33

More information

Business Process Models as Design Artefacts in ERP Development

Business Process Models as Design Artefacts in ERP Development Business Process Models as Design Artefacts in ERP Development Signe Ellegaard Borch IT University of Copenhagen, Rued Langgaards Vej 7, 2300 København S, Denmark elleborch@itu.dk Abstract. Adequate design

More information

INFORMATION TECHNOLOGY OUTSOURCING: A KNOWLEDGE-MANAGEMENT FRAMEWORK

INFORMATION TECHNOLOGY OUTSOURCING: A KNOWLEDGE-MANAGEMENT FRAMEWORK INFORMATION TECHNOLOGY OUTSOURCING: A KNOWLEDGE-MANAGEMENT FRAMEWORK Mohammed H. A. Tafti, Frank G. Zarb School of Business, Hofstra University, mohammed.h.tafti@hofstra.edu ABSTRACT Outsourcing information

More information

Knowledge Based Strategies for Knowledge Based Organizations

Knowledge Based Strategies for Knowledge Based Organizations Issue 6, Scientific Papers (www.scientificpapers.org) Journal of Knowledge Management, Economics and Information Technology Knowledge Based Strategies for Knowledge Based Organizations Author: Madalina

More information

Lessons Learned from the Teaching of IS Development

Lessons Learned from the Teaching of IS Development Journal of Information Technology Education Volume 1 No. 2, 2002 Lessons Learned from the Teaching of IS Development Filomena Lopes and Paula Morais Universidade Portucalense, Porto, Portugal flopes@upt.pt

More information

Services for the CFO Financial Management Consulting

Services for the CFO Financial Management Consulting IBM Global Business Services Services for the CFO Financial Management Consulting Financial Management Chief financial officers (CFOs) are currently in a highly visible, highly influential position. They

More information

Characterizing Knowledge Management Tools

Characterizing Knowledge Management Tools Characterizing Knowledge Management Tools Half-day Tutorial Presented by Kurt W. Conrad conrad@sagebrushgroup sagebrushgroup.com Developed by Kurt W. Conrad, Brian (Bo) Newman, and Dr. Art Murray Based

More information

Evaluating project manager performance: a case study

Evaluating project manager performance: a case study Evaluating project manager performance: a case study Veridiana Rotondaro Pereira, Marly Monteiro de Carvalho University of São Paulo e-mail: veridiana.pereira@poli.usp.br; marlymc@usp.br Abstract: A project

More information

How To Create A Knowledge Enabled Organization

How To Create A Knowledge Enabled Organization Losing Your Minds: Capturing, Retaining and Leveraging Organizational Knowledge bill Kaplan Published by In association with Losing Your Minds: Capturing, Retaining and Leveraging Organizational Knowledge

More information

Forums for information systems scholars: III

Forums for information systems scholars: III Information & Management 39 2001) 117±124 Forums for information systems scholars: III Kent A. Walstrom a,*, Bill C. Hardgrave b,1 a Department of Applied Computer Science, Illinois State University, Campus

More information

Improving Performance by Breaking Down Organizational Silos. Understanding Organizational Barriers

Improving Performance by Breaking Down Organizational Silos. Understanding Organizational Barriers Select Strategy www.selectstrategy.com 1 877 HR ASSET 1 877 472 7738 Improving Performance by Breaking Down Organizational Silos Understanding Organizational Barriers Restructuring initiatives have become

More information

10. BUILDING AN EFFECTIVE ENFORCEMENT PROGRAM

10. BUILDING AN EFFECTIVE ENFORCEMENT PROGRAM 10. BUILDING AN EFFECTIVE ENFORCEMENT PROGRAM This chapter discusses issues involved in building and managing enforcement programs. While program structure and resources depend greatly on the roles, responsibilities,

More information

Lecture Note: Digital Innovation Value Maximization

Lecture Note: Digital Innovation Value Maximization Lecture Note: Digital Innovation Value Maximization by Robert G. Fichman, for MI720 IT for Managers, Boston College, 2012 Introduction In the late 1990 s, Harrah s Entertainment invested $100 million to

More information

Knowledge Management in Post-Merger Integration 1

Knowledge Management in Post-Merger Integration 1 Knowledge Management in Post-Merger Integration 1 Chen Jian 2 Jia Jun 3 School of Management Xi an Jiaotong University, P. R. China, 710049 Abstract Nowadays, knowledge has become an important resource

More information

Appendix B Data Quality Dimensions

Appendix B Data Quality Dimensions Appendix B Data Quality Dimensions Purpose Dimensions of data quality are fundamental to understanding how to improve data. This appendix summarizes, in chronological order of publication, three foundational

More information

IT FOR BUSINESS AND FINANCE. BUSINESS PROCESSES and INFORMATION SYSTEMS

IT FOR BUSINESS AND FINANCE. BUSINESS PROCESSES and INFORMATION SYSTEMS IT FOR BUSINESS AND FINANCE BUSINESS PROCESSES and INFORMATION SYSTEMS SYSTEM (definition) A group of interacting, interrelated, or interdependent elements forming a complex whole presenting the following

More information

Queensland University of Technology, Brisbane, Australia, m.rosemann@qut.edu.au

Queensland University of Technology, Brisbane, Australia, m.rosemann@qut.edu.au Reference Syllabi Association for Information Systems (AIS) Business Process Management Jan vom Brocke 1, Michael Rosemann 2 1 University of Liechtenstein, Vaduz, Liechtenstein, jan.vom.brocke@uni.li 2

More information

Monitoring and Evaluation Plan Primer for DRL Grantees

Monitoring and Evaluation Plan Primer for DRL Grantees Monitoring and Evaluation Plan Primer for DRL Grantees I. What is a monitoring and evaluation plan? A monitoring and evaluation plan (M&E plan), sometimes also referred to as a performance monitoring or

More information

Designing an Effective Organization Structure. January 2009

Designing an Effective Organization Structure. January 2009 Designing an Effective Organization Structure January 2009 Effective organization design considers five, interrelated components Clear vision and priorities Cohesive leadership team 1. Leadership 2. Decision

More information

Holistic Development of Knowledge Management with KMMM

Holistic Development of Knowledge Management with KMMM 1 Karsten Ehms, Dr. Manfred Langen Holistic Development of Knowledge Management with KMMM Siemens AG / Corporate Technology Knowledge Management & Business Transformation If knowledge management is to

More information

! # % # & # ( ) # % # ( + #,. /0 % ( % / 1 2 3! 3 % % 1 2 1,%. 3 % % 1 2 1# 4 5 6 # & + # % % # 47

! # % # & # ( ) # % # ( + #,. /0 % ( % / 1 2 3! 3 % % 1 2 1,%. 3 % % 1 2 1# 4 5 6 # & + # % % # 47 ! # % # & # ( ) # % # ( + #,. /0 % ( % / 1 2 3! 3 % % 1 2 1,%. 3 % % 1 2 1# 4 5 6 # & + # % % # 47 8 promoting access to White Rose research papers Universities of Leeds, Sheffield and York http://eprints.whiterose.ac.uk/

More information

Mapping COBIT 5 with IT Governance, Risk and Compliance at Ecopetrol S.A. By Alberto León Lozano, CISA, CGEIT, CIA, CRMA

Mapping COBIT 5 with IT Governance, Risk and Compliance at Ecopetrol S.A. By Alberto León Lozano, CISA, CGEIT, CIA, CRMA Volume 3, July 2014 Come join the discussion! Alberto León Lozano will respond to questions in the discussion area of the COBIT 5 Use It Effectively topic beginning 21 July 2014. Mapping COBIT 5 with IT

More information

Changing the rules of the game - a systematic approach for influencing corporate knowledge behavior

Changing the rules of the game - a systematic approach for influencing corporate knowledge behavior Changing the rules of the game - a systematic approach for influencing corporate knowledge behavior Jukka Alvesalo, Martin Hurter, Ursula Schweighart Arthur D. Little (Switzerland), Ltd Seestrasse 185

More information

The Rising Opportunity for CMO-CIO Collaboration in the Pharmaceutical Industry

The Rising Opportunity for CMO-CIO Collaboration in the Pharmaceutical Industry Accenture Life Sciences Rethink Reshape Restructure for better patient outcomes The Rising Opportunity for CMO-CIO Collaboration in the Pharmaceutical Industry Demographics Life Sciences Pharma/Biotech:

More information

Individual Development Planning (IDP)

Individual Development Planning (IDP) Individual Development Planning (IDP) Prepared for Commerce Employees U.S. Department of Commerce Office of Human Resources Management Table of Contents Introduction / Benefits of Career Planning 1 Your

More information

The Knowledge Management Systems Concept

The Knowledge Management Systems Concept University of Canberra Faculty of Information Sciences and Engineering The Knowledge Management Systems Concept in the case study of the commonwealth government agency s human resources Omar Sultan Al-Kadi

More information

The Role of Human Resource Management in Risk Management

The Role of Human Resource Management in Risk Management The Role of Human Resource Management in Risk Management Bernard L. Erven Department of Agricultural, Environmental and Development Economics Ohio State University Human resources have two roles in risk

More information

BNM748 STRATEGIC GLOBAL OUTSOURCING AND OFFSHORING

BNM748 STRATEGIC GLOBAL OUTSOURCING AND OFFSHORING BNM748 STRATEGIC GLOBAL OUTSOURCING AND OFFSHORING Academic Year 2014/15 Number of Aston Credits: Number of ECTS Credits: 15 7.5 Staff Members Responsible for the Module: Professor Julia Kotlarsky, Operations

More information

DATA MINING TECHNIQUES SUPPORT TO KNOWLEGDE OF BUSINESS INTELLIGENT SYSTEM

DATA MINING TECHNIQUES SUPPORT TO KNOWLEGDE OF BUSINESS INTELLIGENT SYSTEM INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 2320-7345 DATA MINING TECHNIQUES SUPPORT TO KNOWLEGDE OF BUSINESS INTELLIGENT SYSTEM M. Mayilvaganan 1, S. Aparna 2 1 Associate

More information

Business Process Improvement Quick Guide

Business Process Improvement Quick Guide Business Process Improvement Quick Guide A modern OPS delivers high-quality public services cost-effectively. To be a high performing organization we must continuously improve. On an ongoing basis, we

More information

Christina Soh, Sia Siew Kien, and Joanne Tay-Yap

Christina Soh, Sia Siew Kien, and Joanne Tay-Yap Christina Soh, Sia Siew Kien, and Joanne Tay-Yap CULTURAL FITS AND MISFITS: IS ERP The universality of embedded business models of industry best practices is considered from an Asian perspective. A UNIVERSAL

More information