Framework for Measuring ERP Implementation Readiness in Small and Medium Enterprise (SME): A Case Study in Software Developer Company
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1 JOURNAL OF COMPUTERS, VOL. 8, NO. 7, JULY Framework for Measuring ERP Implementation Readiness in Small and Medium Enterprise (SME): A Case Study in Software Developer Company Achmad Nizar Hidayanto, Muhammad Azani Hasibuan, Putu Wuri Handayani and Yudho Giri Sucahyo Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia [email protected], [email protected], {putu.wuri, yudho}@cs.ui.ac.id Abstract Enterprise Resource Planning (ERP) is a product that enables organizations achieving their competitive advantage. However, the failures of ERP implementation are still considered quite high. This research was conducted to formulate the framework of self-assessment of open source ERP implementation, which focused on the ERP pre-implementation aspects. The proposed ERP implementation assessment framework was developed using the Fuzzy-based ANP (Fuzzy ANP), where the examined factors are grouped into three categories, namely project management, organizational, and change management. In order to see the application of the framework, we conducted a case study on an SME engaged in software development. We did focus group discussion with Chief Technology Officer, Chief Strategy Officer and Manager. The results showed that the company is not ready to implement open source ERP. Although the company is strong in the human resources aspect, they are still weak in other aspects so that they need some strategies to improve their level of before implementing open source ERP. Index Terms Enterprise Resource Planning, ERP, Small and Medium Enterprise, SME, ERP, ERP assessment, Analytic Hierarchy Process, AHP, Analytic Network Process, ANP, Fuzzy ANP I. INTRODUCTION Currently the business sectors in Indonesia, especially those in the category of small and medium enterprises (SMEs), face a tight competition since the introduction of the ASEAN-China Free Trade Area (ACFTA) on January With the implementation of ACFTA, the products from ASEAN countries and China will be easier to enter Indonesia, while the price of these products will be much cheaper than similar products from Indonesia [1]. To survive and grow in this competition, SMEs in Indonesia are required to improve the quality of their business. One way to increase such competitive advantage is by improving the effectiveness and Manuscript received September 17, 2012; revised October 13, 2012; accepted October 20, Achmad Nizar Hidayanto is corresponding author. efficiency of the planning and management of company resources, which can be achieved by using information technology (IT) [2]. The advancement of IT such as Software as a Service (SaaS) and Enterprise Resource Planning (ERP) are proven to provide benefits for many organizations [3]. ERP system is considered as one of important aspects when we talk about automating and integrating business processes. Saputro et al. [4] stated that the ERP system may be one solution to help SMEs to perform simplification, integration and automation of the business processes. While Molla and Bhala [5] in their study of an Asian company in a developing country, showed that ERP enables organizations to achieve competitive advantage, although this technology can not be considered the sole cause. ERP system is an integrated information system that supports and integrates the various aspects of a business, including planning, manufacturing, sales, and marketing, making it easier for each functional unit to share data [6-9]. By implementing ERP, companies can obtain information real-time such as customer, supplier, and competitor information and condition of the whole company. Considering their revenue, SMEs are not as enthusiasm as large companies in adopting ERP. Indonesia as an example, number of SMEs that implement ERP are still less than 20%. According to Saputro et al. [4], there are several reasons why the number of SMEs implementing ERP is still low, among others: limited budget, lack of experiences in implementing ERP, cost of software and services that are not affordable for SMEs, limited internal capability to implement ERP, and as well as SMEs consider ERP as complex information systems. The same were confirmed in a study conducted by Vilpola [11] who said that the SMEs have their own challenges when trying to implement ERP, the resource constraints in the selection of the ERP package, and also in the implementation. In addition to the above challenges, in general, the possibility of failure in ERP implementation is also high. Panorama Consulting Group [12], in 2011, conducted a survey of ERP implementation during The survey was conducted on 185 participants from 57 countries doi: /jcp
2 1778 JOURNAL OF COMPUTERS, VOL. 8, NO. 7, JULY 2013 (30% from North America, while 70% of the countries around the world). The survey results showed 61.1% of respondents said ERP implementations take longer than expected; 74.1% stated bloated budget, and 48% felt the realization of benefits is less than 50%. Robbins-Gioia, a management consulting services provider located in Virginia, did a survey of 232 respondents. The survey results showed 36% of companies have ERP systems and 51% considered their ERP implementations fail. To increase the success of ERP implementation, researchers conducted numerous studies, for example related to the identification of critical success factors of ERP implementation. Razmi et al. [10] took a different approach by constructing ERP assessment in a practical framework. The results of the assessment are used to determine the status of the organization's to implement ERP and further identify areas that should be improved before entering the implementation phase. Related to this, the study aims to develop a framework of ERP implementation self-assessment. The proposed framework is expected to help SMEs in assessing their in implementing ERP. As a case study to conduct the assessment, we selected an SME engaged in software development, which plans to implement an open-source ERP. II. LITERATURE REVIEW A. Small and Medium Enterprises Small and medium enterprises (SMEs) are the backbone of the micro economy in Indonesia. In 2009 the Ministry of SMEs and Cooperatives record the number of SMEs amounted to 52,764,603 units, this amount at odds of 1,354,991 of the total in The definition of SMEs in Indonesia refers to Law No. 20 year of Table I shows the criteria of SMEs according to this law. TABLE I. CHARACTERISTICS OF SMES IN INDONESIA No Enterprise type Criteria Asset (Rupiah) Turnover (Rupiah) 1 Small > 50 millions > 300 millions 2.5 millions billions 2 Medium > 500 millions - 10 > 2.5 billions - 50 billions billions Source: Law No. 20 year of 2008 B. Enterprise Resource Planning Readiness (ERP- Readiness) Implementation of ERP projects often can not run smoothly as expected. Many challenges in ERP implementation as it poses some risks [13]. These risks should be measured as early as possible to avoid potential challenges in the later stages. This underlies the need for organizations to assess their to implement ERP [10]. Readiness assessment was introduced as a separate stage in the ERP project, at which stage it should be carried out before the implementation phase. This assessment does not only show the capability of the company to implement ERP, but it also identifies any areas that are becoming weaknesses of the company, so that the company can improve performance in these areas to get to a higher level of. There are several frameworks proposed by various researchers previously in accordance to the assessment of ERP implementation, such as that developed by [14], as well as a framework developed by [10]. In drawing up a practical framework of ERP implementation assessment, they use a similar method, which generally can be divided into four stages, namely: The first phase, identify the determinants of ERP implementation. The second phase, build an assessment tool by using determinants obtained in the first phase The third phase, identify importance (weight) of each determinant The fourth phase, build assessment scheme for each determinant of ERP implementation. The framework proposed by [14] was prepared using 37 Critical Success Factors (CSFs) that are grouped into 4 categories: technoware, humanware, inforware, and orgaware. Razmi et al. [10] proposed their framework by dividing the goal of ERP into three parts, namely organizational, project management, and change management sub-goals. For the sub-factors, they used 15 CSFs which are grouped into five factors, namely project, vision and goals, systems and processes, culture and structures, and human resources. Related to the assessment, Soysa and Nanayakkara [14] used the framework of Analytic Hierarchy Process (AHP), which has been simplified, as well as Hidayanto et al. [15] which also used AHP for measuring business intelligence in SMEs. Razmi et al. [10] used variation of of AHP, by using Fuzzy Analytical Network Process (Fuzzy ANP) which is actually the most common form of AHP combined with Fuzzy sets theories to deal with uncertainty in the assessment. According Razmi et al. [10], the ANP method is considered more superior in doing modeling for complex decision environment compared to AHP. III. METHODOLOGY A. Framework for ERP Readiness Assessment As discussed in the literature review, this study adapts the framework which was introduced by Razmi et al. [10] to measure ERP implementation. This framework defines the ERP implementation in three categories, namely: management Organizational Change management Meanwhile, the of each aspect depends on the of the five factors and each factor is composed of several sub-factors. These factors and subfactors are summarized in Table II.
3 JOURNAL OF COMPUTERS, VOL. 8, NO. 7, JULY Here is description of each sub-factor of ERP implementation [10]: championship. The role of the ERP implementation project championship is much larger than other information system implementations. champion is needed to drive consensus and oversee the entire project. Thus, a project champion should be able to push and sustainably manage resistance and changes during implementation. TABLE II. CRITICAL FACTORS AND SUB-FACTORS OF ERP IMPLEMENTATION READINESS No Factors Sub-factors 1 Championship Resource Allocation Assign Responsibilities Team Scope 2 Vision and Goals ERP Implementation vision ERP mission and goals 3 Systems and Processes Existing system Existing process 4 Culture and structures Culture Decision mechanisms Organizational structure Communication 5 Human Resource Top Management Personel Resource allocation. ERP implementation requires a different allocation of organizational resources such as time, money, and personnel. Resources should be allocated according to resource planning as an important part of project management program. Assign responsibilities. ERP project requires the cooperation of several units of the organization. The responsibilities of each unit should be clear as one of keys to success of an ERP implementation. team. ERP project requires the project team containing the best employees who have the business skills and technical ability. teams should be balanced, cooperative, and cross functional. scope. The scope of the ERP project should be clearly identified, whether is it just limited to part/whole functional unit, part/whole site, part/whole business process, and so on. The scope of the project will directly affect the time and cost of implementation. It is also important to establish milestones and a realistic delivery time for the ERP project. ERP implementation vision. ERP Implementation also requires a clear vision of the organization. The vision is needed to guide the implementation of ERP and should contain goals and objectives that can be measured. ERP mission and goals. Organizations should also define the mission and goals of the ERP system clearly. The mission and goals must be understood by the organization. The implementation of the ERP system must have clear justification, considering the risks, costs, and resources needed. Existing system. Before implementing ERP, organizations must understand the current system is. Understanding the existing system is needed to identify the changes required at the time of implementation of ERP systems. Existing process. Existing process improvements and adjustments need to be identified before the implementation of ERP. In addition, organizations should design a system architecture and ensure the chosen ERP system reflects the organization's business processes are complete. Culture. Given the ERP implementation caused major changes in the organization, organizational culture plays an important role in the implementation phase. Organizational culture can be a facilitator or a major obstacle to change. Successful implementation of ERP requires a corporate culture that emphasizes the value to share a common goal in the interests of the individual and the value of trust between colleagues, employees, managers, and companies. Decision mechanisms. Decision-making requires the accuracy of the data. Therefore, the ability to search for information is an important factor in making a decision. Organizational structure. The organizational structure and hierarchy positions must match and support the implementation of ERP. The changes made by the ERP system must be backed existing management and structure of work in the organization. Communication. Expectations and objectives of the ERP project should be communicated effectively between stakeholders in all levels in the organization. The entire implementation phase, which will include the reasons of ERP implementation, change management strategy, project scope, and others should be communicated to all interested parties. Top Management. Many literature suggests that top management support on IT projects is critical to the success of the project, including the ERP project. Top management should view ERP as a priority project of the organization, financing projects and take an active role in leading change. Management must be involved in every step of ERP implementation, monitor project progress and provide direction to project team. Personnel. The success of ERP implementation requires the commitment and cooperation of personnel from all business segments. The personnel must be assured that the organization is committed to implementing the ERP system. The personnel should be well prepared for the change to prevent resistance and chaos in the implementation phase.
4 1780 JOURNAL OF COMPUTERS, VOL. 8, NO. 7, JULY 2013 B. Readiness Assessment Razmi et al. [10] have provided weights for each factor and sub-factors in accordance to the three categories of which are project management, organizational and change management as can be seen in Table III. Unfortunately, Razmi et al. [10] did not provide guidance on how to conduct an assessment of each of these sub-factors. Related to this, we developed guidelines for assessing the characteristics of the level of at all levels of sub-factors, compiled by adapting guidance of the Control Objective for Information and Related Technology (COBIT). For the sake of space constraints, the proposed guideline is not presented here, but it can be accessed through Taking into account this assessment guide, linguistic values for each sub-factors can be determined, whether they are very low, low, medium, high, or very high. TABLE III WEIGHTS OF EACH FACTOR AND SUB-FACTORS ON EVERY ASPECT OF READINESS [10] Factors Organizational Change management Championship Resource Allocation Assign Responsibilities Team Scope Vision and goals ERP impl. Vision ERP mission & goals Systems and processes Existing system Existing process Culture and structures Culture Decision mechanisms Organizational structure Communication Human resources Top Management Personnel Here is the complete procedure of assessment, until obtaining the value of ERP implementation for an organization: Assessment according to subfactors perspective At this stage, the assessment is done by gathering evidences in organization, such as through focus group discussions, and then mapping the findings into linguistic variables, i.e. very low, low, medium, high, or very high, by using the guideline we have developed. This linguistic variable is then transformed into a numeric al score as follows: very low - 0, low - 25, medium - 50, high - 75, very high Assessment according to factors perspective At this stage, we determine the score of each factor, by calculating the average of numerical score of their respective subfactors. These average scores are then translated into forms of linguistic variables by using fuzzy scale as shown in Table IV. For example, the average score for a certain factor is 10. According to Table IV, 10 falls into two categories: very low and low. In order to determine which category representing this score, we should calculate the membership values of this score for each category. The category is determined by seeking the category which has the highest membership value. This process uses a fuzzy membership function ( μ) that we defined in Table V. TABLE IV LINGUISTIC VARIABLES FOR MEASURING SUB-FACTOR AND FUZZY SCALE [10] Linguistic variables for sub-factors Fuzzy scale Very low (0, 0, 25) (0, 25, 50) Medium (25, 50, 75) High (50, 75, 100) Very High (75, 100, 100) TABLE V LINGUISTIC VARIABLES FOR MEASURING SUB-FACTOR AND FUZZY SCALE [10] Linguistic Variables for sub- factors Very Medium High Very High Fuzzy membership function µ(x) ={1, if x =0; 0,if x 25; (25-x)/25, if 0 x 25} µ(x) ={1, if x =25; 0,if x= 25 or x 50; x/25, if 0 x 25; (50-x)/25, if 25 x 50 } µ(x) ={1, if x =50; 0,x 25 or x 75; (x- 25)/25, if 25 x 50; (75-x)/25, if 50 x 75 } µ(x) ={1, if x =75; 0,x 50 or x 100; (x- 50)/25, if 50 x 75; (100-x)/25, if 75 x 100 } µ(x) ={1, if x = 100; 0,if x 25; (x-75)/25, if 75 x 100} Assessment according to subgoals perspective At this stage, we assess the of each subgoals, which is done by adding up the multiplication of sub-factor score and its respective weight (as shown in Table 3) for all their respective sub-factors. The numerical score obtained is then translated into a form of linguistic variables using the same way as the assessment of factor perspective. C. Data Collecting In this study, we selected company X as our case study for assessment. Company X is a privately owned company offering System Integration, Software Development, and Offshore Outsourcing Services to various clients. Founded in Jakarta in 2001, the founders of company X have a broad range of project experience in projects and services of Information and Communication Technology (ICT). With a low cost, high quality and reliable software services, company X is promising customer satisfaction. Currently, company X has 20 employees, most of them are software developers which are handling the company's core activities. In order to collect data for assessing the ERP implementation, the parties know exactly the level of of each sub-factors ERP are
5 JOURNAL OF COMPUTERS, VOL. 8, NO. 7, JULY top level managements. Therefore, to get a consensus from the top level management of the level of of each sub-factors, we conducted focus group discussions with top level management of company X, namely Chief Technology Officer, Chief Strategy Officer and Manager. Focus group discussions were conducted using guidelines we have developed for the assessment at sub-factors level. IV. RESULTS AND ANALYSIS This section describes the results of the assessment and analysis of ERP implementation in company X. A. ERP Implementation Readiness Assessment As stated previously, sub-factors were assessed by focus group discussions to obtain consensus on the score of each sub-factors. The results of assessment for each factors and their respective sub-factors can be seen in Table VI. TBALE VI. ASSESSMENT RESULT IN THE FACTORS AND SUB-FACTORS PERSPECTIVE Factors Sub-factors Score Average Vision and Goals System and Process Culture and Structures Human Resources Championship 25 Resource Allocation 25 Assign Responsibilities 50 Team 50 Scope 25 ERP Implementation vision 25 ERP mission and goals 25 Existing system 25 Existing process 25 Culture 50 Decision mechanisms 25 Organizational structure 25 Communication 25 Top Management 50 Personnel 75 These numerical scores are translated into linguistic variables, using fuzzy membership functions as described previously, in order to obtain the value of for each factor. The result is presented in Table VII. TABLE VII. READINESS LEVEL OF EACH FACTOR Factors Vision and Goals System and Process Structure and cultures Human Resources Readiness level Medium/high Based on Table VII, it can be seen that the factor that has a high factor is human resources. It shows that from the standpoint of human resources, company X is quite ready to implement ERP. While the results of the assessment in the perspective of sub-goals can be seen in Table VIII. By considering level of each sub-factor and also the level of each sub-goal which are still low, it indicates that for now company X is not yet ready to implement open source ERP B. Implications to Organization Considering the assessment result we had for company X, we formulated some recommendations to assist company X in preparing implementation of open source ERP in the future. Sub-factors TABLE VIII NUMERICAL SCORES OF EACH SUB-GOAL mgmt. With respect to factor, company X needs to prepare a formal procedure that is used to carry out all the activities of the project, including the control mechanisms to ensure the procedure runs. In addition, they should also start preparing the team who will be involved in the ERP implementation project. In accordance to Visions and Goals factor, company X needs to formulate visions and goals of the ERP implementation. The visions and goals should be documented in the form of a formal document, and get approval from the top level management as a commitment to ERP project implementation. The vision and mission should be communicated to all employees intensively. Regarding Systems and Processes factor, company X needs to improve their business processes and documents by refering to available best practices in industry. Business processes need to be formulated in the form of Standard Operational Procedures (SOP) and disseminated to all employees. If possible, company X can also establish reward and punishment procedure to ensure the SOPs has been made fully implemented by all levels of employees. Related to Culture and Structures factor, company X needs to reorganize the ownership structure of data and information, so that the ownership of data and information becomes more apparent. For that, they need to establish formal procedures to define the duties and responsibilities associated with decision-making. At last, with respect to Human Resources factor, this factor has the highest score. Even so, there should be intense communication to the top management to keep track of their commitment to the implementation of ERP in the company. V. CONCLUSION Organizational Change mgmt. Championship Resource Allocation Assign Responsibilities Team Scope ERP impl. vision ERP mission and goals Existing system Existing process Culture Decision mechanisms Organizational structure Communication Top Management Personnel Total
6 1782 JOURNAL OF COMPUTERS, VOL. 8, NO. 7, JULY 2013 This research has successfully formulate a framework for assessing the of ERP implementation at SMEs. The framework was developed from existing framework, equipped with a guide for assessing the at all levels, thus allowing the SMEs to perform a self assessment of their. The results of the assessment to company X, our case study, it can be concluded that company X is not ready to implement ERP. Un of company X can be seen from the low score of most of factors. Of the five factors were observed, there are 4 factors considered weak, namely: project, vision and goals, stucture and culture, as well as systems and processes. As for human resource factors, company X has achieved medium/high level. This indicates that the entire personnel of the company have sufficient understanding of the technology of ERP and ERP implementations have supported the company's plans. ACKNOWLEDGMENT This research is supported by Universitas Indonesia through Riset Madya grant No. 2139/H2.R12/HKP.05.00/2012. It is a pleasure to convey our gratitude to our university for their continuous support, particularly for Research and Public Service Directorate for their excellent services. REFERENCES [1] M. Dewitari, R. Sai o, D. A. Ramadhani, Erika, and T. Andriyanto, ASEAN-China Free Trade Area (ACFTA) Agreement as an International Regime: The Impact Analysis on ASEAN, Technical Report, Facuty of Social and Political Science, Universitas Indonesia, Available at Free-Trade-Area-ACFTA-Agreement-as-an-International- Regime-The-Impact-Analysis-on-ASEAN, last accessed 10 September 2012 [2] E. Cofriyanti and A. N. Hidayanto, The Relationship among Organizations Factors, Information Technology, Innovation and Performance: An Indonesian SMEs Study, International Journal of Innovation and Learning (IJIL), in press. [3] A. N. Hidayanto, Y.Y. Karnida and G. Moerita, Analysis Of Software As A Service (SaaS) For Software Service Provision Alternative: A Case Study of E-Office On- Demand Service of PT Telkom Indonesia," International Journal of Innovation and Learning (IJIL), Vol. 12, No. 3, pp , [4] J. W. Saputro, P. W. Handayani, A. N. Hidayanto, and I. Budi, Roadmap of Enterprise Resource Planning (ERP) Research for Small and Medium Enterprises (SMEs) in Indonesia, International Conference on Advanced Computer Science and Information Systems (ICACSIS), [5] A. Molla and A. Bhala, ERP and Competitive Advantage in Developing Countries: The Case of an Asian Company, The Electronic Journal of Information Systems in Developing Countries, Vol. 24, No. 1, 2006, pp [6] L. Jessup and J. Valacich, Information Todays, Prentice Hall, 2006, ISBN [7] G. R. Dantes and Z. A. 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Shihab, Measuring Business Intelligence (BI) Implementation Readiness: A Framework Development and Its Application to Small Medium Enterprises (SMEs), 3rd International Research Symposium in Service Management (IRSSM), Beijing, Achmad Nizar Hidayanto is Head of Information Systems/Information Technology Department, Faculty of Computer Science, Universitas Indonesia. He obtained his PhD in Computer Science from Universitas Indonesia. His research interests are related to information systems/information technology, e-learning, information systems security, change management, distributed systems and information retrieval. Muhammad Azani Hasibuan was born on 22 July 1985 in Pekanbaru, Indonesia. He obtained his master degree in Information Technology in 2011 from Faculty of Computer Science, Universitas Indonesia. He is currently a Vice President of Software Development and R&D in PT. Totalindo Rekayasa Telematika at Jakarta, Indonesia. His research interests are in enterprise system and education engineering area. Putu Wuri Handayani is a lecturer in Faculty of Computer Science, Universitas Indonesia. She obtained her master degree from University of Applied Science Fulda, Germany. Her research interests are related to information system/information technology such as e-commerce, enterprise resource planning, supply chain management, and customer relationship management. Yudho Giri Sucahyo is a lecturer in Faculty of Computer Science, Universitas Indonesia. He obtained his PhD degree from Curtin University of Technology, Australia, in His research interests are related to information system/information technology such as e-government, IT governance, information security and data mining.
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