SYSTEMATIC LITERATURE REVIEW ENTERPRISE SYSTEMS CHARTERING REVIEW PROCEDURE AND ANALYSIS RESULTS
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1 SYSTEMATIC LITERATURE REVIEW ENTERPRISE SYSTEMS CHARTERING REVIEW PROCEDURE AND ANALYSIS RESULTS Berner, Martin, University of Mannheim, Germany, SAP SE, Walldorf, Germany, Gansen, Jan, University of Mannheim, Germany, Maedche, Alexander, University of Mannheim, Germany, Literature Review Procedure Stage Table 1. Stages of Grounded Theory Literature-Review Method (Wolfswinkel et al., 2013) Description 1. Define In the define stage general conditions for the search process are set. To ensure appropriate quality, only the top 15 ranked publications of the MIS Journal Rankings and the publications included in the Senior Scholars' Basket of Journals (AIS, 2011, 2013) were considered 1. Conferences that fit our scope were identified using the ERA Ranked Conference List (ARC 2011) Search In the search stage we leveraged the databases Web of Science, IEEExplore Digital Library, and AIS Electronic Library. The search string is shown in Table 2 and was applied to titles, abstracts and keywords. The final search on February 25, 2014 yielded 689 publications in the area of BI&A and BPMS. For ERP literature it turned out that the qualified results of the systematic literature review from Seddon et al. (2010) are appropriate for our purposes. Therefore, regarding ERP we decided to draw on this identified literature instead of querying the research databases by our own. 3. Select Within the select stage, the initial result set was checked for doubles and then refined by excluding literature that didn t fit inclusion/exclusion criteria. Afterwards, a forward and backward search was conducted to further enrich the quality of the literature review. In a final quality assessment, the remaining publications were checked for clear research goals, a clear statement of the research method and whether useful recommendations were given. 4. Analyze 82 publications remained as input for the analyze stage. In the analysis qualitative research methods, rooted in grounded theory, were used to extract valuable knowledge. Specifically we systematically engaged in open coding, axial coding and selective coding (Strauss and Corbin, 1990, 1998). The qualitative data analysis software MAXQDA was used to support the coding process. Table 2. Search String AND OR OR Project, Implementation, Transformation, Scope, Scoping, Requirement, Goal, Objective, Selection, Planning, Chartering, Risk, Benefit, Value, Cost, Business Case, Success Business Intelligence, BI, Business Analytics, Big Data, Operational Intelligence, Business Process, Process Improvement 1 ACM TODS, AI Magazine, Artificial Intelligence, Com. ACM, Decision Sciences, Decision Support Systems, European J. of IS, Harvard Business Review, IEEE Software, IEEE Transactions on SE, Inf. & Management, ISJ, ISR, J. of IT, J. of MIS, J. of Strategic IS, J. of the AIS, Management Science, MISQ 2 AMCIS, ACIS, ECIS, HICSS, IEEE SCC, BPM, CoopIS, ICIS, PACIS April
2 Literature Classification Table 3. Number of Publications by System Type and Focus Area 3 Theme Primary Focus Area ERP BPMS BI&A TOTAL Implementation projects overall % Projects CSFs % Project risk factors & challenges % Impacts Factors affecting variance in organizational benefits % Organizational benefits from ES % Total 37 (45%) 9 (11%) 36 (44%) % Table 4. References per Primary Focus Area and System Type Primary Focus Area ERP BPMS BI&A Implementation projects overall (Mabert et al., 2003a, 2003b; Markus and Tanis, 2000; Markus et al., 2000; Parr and Shanks, 2000; Rajagopal, 2002; Somers and Nelson, 2003; Wei et al., 2005) (Ravesteyn and Versendaal, 2009) (Hawking et al., 2006; Marjanovic, 2010; Nemati and Udiavar, 2012; Otyepka et al., 2013; Ranjan, 2009; Shanks and Bekmamedova, 2013) CSFs (Akkermans and van Helden, 2002; Al-Mashari et al., 2003; Bradley, 2008; Chen et al., 2009; Dezdar and Sulaiman, 2009; Hong and Kim, 2002; Loh and Koh, 2004; Motwani et al., 2002, 2005; Nah and Delgado, 2006; Nah et al., 2001, 2003; Ram et al., 2013; Robey et al., 2002; Sarker and Lee, 2003; Snider et al., 2009; Somers and Nelson, 2001, 2004; Umble et al., 2003) (Bai and Sarkis, 2013; Bandara et al., 2005; Hajiheydari and Dabaghkashani, 2011; Ravesteyn and Batenburg, 2010a, 2010b; Ravesteyn and Versendaal, 2007; Trkman, 2010) (Arnott, 2008; Hawking and Sellitto, 2010; Hwang and Hongjiang, 2007; Mungree et al., 2013; Olbrich et al., 2012; Olszak and Ziemba, 2012; Shanks et al., 2012; Yeoh and Koronios, 2010) Project risk factors & challenges (Aloini et al., 2007; Huang et al., 2004; Scott and Vessey, 2002; Sumner, 2000) - (Clavier et al., 2012) 3 Focus area classification is based on Seddon et al. (2010). 2
3 Primary Focus Area ERP BPMS BI&A Factors affecting variance in organizational benefits (Davenport et al., 2004; Seddon et al., 2010; Skok and Legge, 2002) (Poelmans and Reijers, 2010) (Arnott and Gibson, 2005; Dinter et al., 2011; Isik, 2009; Isik et al., 2013; Kulkarni and Robles-Flores, 2013; Popovic et al., 2010, 2012; Schieder and Gluchowski, 2011; Seddon et al., 2012; Shanks and Sharma, 2011; Shanks et al., 2010, 2011; Someh and Shanks, 2013; Tamm et al., 2013; Tona et al., 2012; Williams and Williams, 2003; Wixom and Watson, 2001; Yogev et al., 2012) Organizational benefits from ES (Schubert and Williams, 2011; Shang and Seddon, 2002, 2000) - (Elbashir et al., 2008; Scholz et al., 2010; Watson et al., 2002) Critical Success Factor (CSF) Table 5. Support of CSFs in Literature [C1] ERP [C2] BPMS or BI&A [C3] Chartering N=27 N=28 N=7 [CSF 1.1] Top management commitment & support (Nah et al., 2001; Umble et al., 2003) 56% 68% 100% [CSF 1.2] Goals & objectives definition (Somers and Nelson, 2001; Umble et al., 2003) 33% 32% 71% [CSF 1.3] Project champion (Nah et al., 2001; Umble et al., 2003) 44% 11% 57% [CSF 1.4] Team composition & skills (Markus and Tanis, 2000; Umble et al., 2003) 63% 61% 43% [CSF 1.5] Change & culture (Hong and Kim, 2002; Umble et al., 2003) 63% 57% 43% [CSF 1.6] Communication, cooperation & collaboration (Al-Mashari et al., 2003; Nah et al., 2001) 48% 25% 29% [CSF 1.7] Scope Management (Parr and Shanks, 2000; Umble et al., 2003) 30% 14% 14% [CSF 2.1] Strategic alignment & organizational fit (Hong and Kim, 2002; Markus and Tanis, 2000) 15% 57% 0% [CSF 2.2] Data related factors (Umble et al., 2003; Wixom and Watson, 2001) 30% 43% 0% [CSF 2.3] User involvement & participation (Mabert et al., 2003a; Wixom and Watson, 2001) 15% 39% 0% [CSF 2.4] Performance measurement & control (Markus and Tanis, 2000; Umble et al., 2003) 33% 39% 0% [CSF 2.5] Integration & alignment of systems (Al-Mashari et al., 2003; Nah et al., 2001) 22% 32% 0% [CSF 2.6] Technology infrastructure & legacy systems (Nah et al., 2001; Wixom and Watson, 2001) 22% 29% 0% [CSF 2.7] Implementation approach (Nah and Delgado, 2006; Wixom and Watson, 2001) 11% 25% 14% [CSF 3.1] PM (Nah et al., 2001; Umble et al., 2003) 63% 36% 14% [CSF 3.2] System & process adaption (Hong and Kim, 2002; Nah et al., 2001) 59% 25% 0% [CSF 3.3] Training & education (Nah et al., 2001; Umble et al., 2003) 48% 21% 0% 3
4 Critical Success Factor (CSF) [CSF 3.4] Software package selection (Hong and Kim, 2002; Umble et al., 2003) [CSF 3.5] Business plan & vision (Al-Mashari et al., 2003; Nah et al., 2001) [C1] ERP [C2] BPMS or BI&A [C3] Chartering N=27 N=28 N=7 41% 0% 29% 30% 14% 43% Publication Years Figure 1. Number of Publications per Year per System Type Figure 2. Number of Publications per Year per Theme 4
5 Bibliography Akkermans, H. and van Helden, K. (2002), Vicious and virtuous cycles in ERP implementation: a case study of interrelations between critical success factors, European Journal of Information Systems, Vol. 11 No. 1, pp Al-Mashari, M., Al-Mudimigh, A. and Zairi, M. (2003), Enterprise resource planning: A taxonomy of critical factors, European Journal of Operational Research, Vol. 146 No. 2, pp Aloini, D., Dulmin, R. and Mininno, V. (2007), Risk management in ERP project introduction: Review of the literature, Information & Management, Vol. 44 No. 6, pp Arnott, D. (2008), Success Factors for Data Warehouse and Business Intelligence Systems, ACIS 2008 Proceedings, pp Arnott, D. and Gibson, M. (2005), The Evaluation of Business Intelligence: A Case Study in a Major Financial Institution, ACIS 2005 Proceedings. Association for Information Systems (AIS). (2011), Senior Scholars Basket of Journals, available at: Association for Information Systems (AIS). (2013), MIS Journal Rankings, available at: Australian Research Council (ARC). (2011), Excellence in Research for Australia (ERA) Ranked Conference List of 2010, available at: Bai, C. and Sarkis, J. (2013), A grey-based DEMATEL model for evaluating business process management critical success factors, International Journal of Production Economics, Vol. 146 No. 1, pp Bandara, W., Gable, G.G. and Rosemann, M. (2005), Factors and measures of business process modelling: model building through a multiple case study, European Journal of Information Systems, Vol. 14 No. 4, pp Bradley, J. (2008), Management based critical success factors in the implementation of Enterprise Resource Planning systems, International Journal of Accounting Information Systems, Vol. 9 No. 3, pp Chen, C.C., Law, C. and Yang, S.C. (2009), Managing ERP Implementation Failure: A Project Management Perspective, IEEE Transactions on Engineering Management, Vol. 56 No. 1, pp Clavier, P.R., Lotriet, H.H. and van Loggerenberg, J.J. (2012), Business Intelligence Challenges in the of Goods- and Service-Dominant Logic, Proceedings of the th Hawaii International Conference on System Sciences, IEEE Computer Society, Washington, DC, USA, pp
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7 Mabert, V.A., Soni, A. and Venkataramanan, M.A. (2003a), Enterprise resource planning: Managing the implementation process, European Journal of Operational Research, Vol. 146 No. 2, pp Mabert, V.A., Soni, A. and Venkataramanan, M.A. (2003b), The impact of organization size on enterprise resource planning (ERP) implementations in the US manufacturing sector, The International Journal of Management Science, Vol. 31 No. 3, pp Marjanovic, O. (2010), Business Value Creation through Business Processes Management and Operational Business Intelligence Integration, 43rd Hawaii International Conference on System Sciences (HICSS), Honolulu, HI, pp Markus, M.L., Axline, S., Petrie, D. and Tanis, S.C. (2000), Learning from adopters experiences with ERP: problems encountered and success achieved, Journal of Information Technology, Routledge, Vol. 15 No. 4, pp Markus, M.L. and Tanis, C. (2000), The enterprise systems experience-from adoption to success, in Zmud, R.W. (Ed.),Framing the Domains of IT Management: Projecting the Future Through the Past, Pinnaflex Education Resources, Inc, Cincinnati, OH, pp Motwani, J., Mirchandani, D., Madan, M. and Gunasekaran, A. (2002), Successful implementation of ERP projects: Evidence from two case studies, International Journal of Production Economics, Vol. 75 No. 1-2, pp Motwani, J., Subramanian, R. and Gopalakrishna, P. (2005), Critical factors for successful ERP implementation: Exploratory findings from four case studies, Computers in Industry, Vol. 56 No. 6, pp Mungree, D., Rudra, A. and Morien, D. (2013), A Framework for Understanding the Critical Success Factors of Enterprise Business Intelligence Implementation, AMCIS 2013 Proceedings, Chicago, Illinois, USA, pp Nah, F.F.-H. and Delgado, S. (2006), Critical Success Factors for Enterprise Resource Planning Implementation and Upgrade, Journal of Computer Information Systems, Vol. 47, pp Nah, F.F.-H., Lau, J.L.-S. and Kuang, J. (2001), Critical factors for successful implementation of enterprise systems, Business Process Management Journal, Vol. 7 No. 3, pp Nah, F.F.-H., Zuckweiler, K.M. and Lee-Shang Lau, J. (2003), ERP Implementation: Chief Information Officers Perceptions of Critical Success Factors, International Journal of Human- Computer Interaction, Vol. 16 No. 1, pp Nemati, H. and Udiavar, A. (2012), Organizational readiness for implementation of Supply Chain Analytics, AMCIS 2012 Proceedings, Seattle, Washington, USA, pp Olbrich, S., Pöppelbuß, J. and Niehaves, B. (2012), Critical ual Success Factors for Business Intelligence: A Delphi Study on Their Relevance, Variability, and Controllability, Proceedings of the th Hawaii International Conference on System Sciences, IEEE Computer Society, Washington, DC, USA, pp
8 Olszak, C.M. and Ziemba, E. (2012), Critical Success Factors for Implementing Business Intelligence Systems in Small and Medium Enterprises on the Example of Upper Silesia, Poland., Interdisciplinary Journal of Information, Knowledge & Management, Vol. 7, pp Otyepka, S., Meier, M., Mosig, B. and Rathgeber, A. (2013), Selecting Project Management Methodologies for Business Intelligence Projects A Value Based Approach, ICIS 2013 Proceedings, Milan, Italy, pp Parr, A. and Shanks, G. (2000), A model of ERP project implementation, Journal of Information Technology, Vol. 15 No. 4, pp Poelmans, S. and Reijers, H.A. (2010), The Deployment of Business Process Management Systems: A Quantitative Analysis of End-Users Evaluations, ECIS 2010 Proceedings, pp Popovic, A., Hackney, R., Coelho, P.S. and Jaklic, J. (2012), Towards business intelligence systems success: Effects of maturity and culture on analytical decision making, Decision Support Systems, Vol. 54 No. 1, pp Popovic, A., Turk, T. and Jaklic, J. (2010), Conceptual model of business value of business intelligence systems, Management: Journal of Contemporary Management Issues, Vol. 15 No. 1, pp Rajagopal, P. (2002), An innovation diffusion view of implementation of enterprise resource planning (ERP) systems and development of a research model, Information & Management, Vol. 40 No. 2, pp Ram, J., Corkindale, D. and Wu, M.-L. (2013), Implementation critical success factors (CSFs) for ERP: Do they contribute to implementation success and post-implementation performance?, International Journal of Production Economics, Vol. 144 No. 1, pp Ranjan, J. (2009), Business intelligence: Concepts, components, techniques, and benefits, Journal of Theoretical and Applied Information Technology, Vol. 9 No. 1, pp Ravesteyn, P. and Batenburg, R. (2010a), Cultural Differences in Implementing Business Process Management Systems, AMCIS 2010 Proceedings, Lima, Peru, pp Ravesteyn, P. and Batenburg, R. (2010b), Surveying the critical success factors of BPM-systems implementation, Business Process Management Journal, Vol. 16 No. 3, pp Ravesteyn, P. and Versendaal, J. (2007), Success Factors of Business Process Management Systems Implementation, ACIS 2007 Proceedings, Toowoomba, Australia, pp Ravesteyn, P. and Versendaal, J. (2009), Constructing a Situation Sensitive Methodology for Business Process Management Systems Implementation, PACIS 2009 Proceedings. Robey, D., Ross, J.W. and Boudreau, M.C. (2002), Learning to implement enterprise systems: An exploratory study of the dialectics of change, Journal of Management Information Systems, Vol. 19 No. 1, pp
9 Sarker, S. and Lee, A.S. (2003), Using a case study to test the role of three key social enablers in ERP implementation, Information & Management, Vol. 40 No. 8, pp Schieder, C. and Gluchowski, P. (2011), Towards a consolidated research model for understanding business intelligence success, ECIS 2011 Proceedings. Scholz, P., Schieder, C., Kurze, C., Gluchowski, P. and Böhringer, M. (2010), Benefits and Challenges of Business Intelligence Adoption in Small and Medium-Sized Enterprises, ECIS 2010 Proceedings, pp Schubert, P. and Williams, S.P. (2011), A framework for identifying and understanding enterprise systems benefits, Business Process Management Journal, Vol. 17 No. 5, pp Scott, J.E. and Vessey, I. (2002), Managing risks in enterprise systems implementations, Communications of the ACM, ACM, New York, NY, USA, Vol. 45 No. 4, pp Seddon, P.B., Calvert, C. and Yang, S. (2010), A multi-project model of key factors affecting organizational benefits from enterprise systems, MIS Quarterly, Vol. 34 No. 2, pp Seddon, P.B., Constantinidis, D. and Dod, H. (2012), How Does Business Analytics Contribute to Business Value?, ICIS 2012 Proceedings, Orlando, Florida, USA, pp Shang, S. and Seddon, P. (2002), A Comprehensive Framework for Assessing and Managing the Benefits of Enterprise Systems: The Business Manager s Perspective, Information Systems Journal, Vol. 12 No. 4, pp Shang, S. and Seddon, P.B. (2000), A Comprehensive Framework for Classifying the Benefits of ERP Systems, AMCIS 2000 Proceedings, pp Shanks, G., Bekmamedov, N. and Sharma, R. (2011), Creating Value from Business Analytics Systems: A Process-oriented Theoretical Framework and Case Study, ACIS 2011 Proceedings, Sydney, Australia, pp Shanks, G. and Bekmamedova, N. (2013), Creating Value With Business Analytics In The Supply Chain, ECIS 2013 Completed Research, pp Shanks, G., Bekmamedova, N. and Willcocks, L. (2012), Business Analytics: Enabling Strategic Alignment and Organisational Transformation, ECIS 2012 Proceedings. Shanks, G. and Sharma, R. (2011), Creating Value From Business Analytics Systems: The Impact Of Strategy, PACIS 2011 Proceedings, pp Shanks, G., Sharma, R., Seddon, P. and Reynolds, P. (2010), The Impact of Strategy and Maturity on Business Analytics and Firm Performance: A Review and Research Agenda, ACIS 2010 Proceedings. Skok, W. and Legge, M. (2002), Evaluating enterprise resource planning (ERP) systems using an interpretive approach, Knowledge and Process Management, Vol. 9 No. 2, pp
10 Snider, B., Silveira, G.J.C. Da and Balakrishnan, J. (2009), ERP implementation at SMEs: analysis of five Canadian cases, International Journal of Operations & Production Management, Vol. 29 No. 1, pp Someh, I.A. and Shanks, G. (2013), The Role of Synergy in Achieving Value from Business Analytics Systems, ICIS 2013 Proceedings, Milan, Italy, pp Somers, T. and Nelson, K. (2001), The impact of critical success factors across the stages of enterprise resource planning implementations, Proceedings of the 34th Hawaii International Conference on System Sciences, pp Somers, T.M. and Nelson, K.G. (2003), The impact of strategy and integration mechanisms on enterprise system value: Empirical evidence from manufacturing firms, European Journal of Operational Research, Vol. 146 No. 2, pp Somers, T.M. and Nelson, K.G. (2004), A taxonomy of players and activities across the ERP project life cycle, Information & Management, Vol. 41 No. 3, pp Strauss, A. and Corbin, J. (1990), Basics of Qualitative Research: Grounded Theory Procedures and Techniques, Sage, London. Strauss, A. and Corbin, J. (1998), Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory, Sage, London. Sumner, M. (2000), Risk factors in enterprise-wide/erp projects, Journal of Information Technology, Vol. 15 No. 4, pp Tamm, T., Seddon, P. and Shanks, G. (2013), Pathways to Value from Business Analytics, ICIS 2013 Proceedings, Milan, Italy, pp Tona, O., Carlsson, S. and Eom, S. (2012), An Empirical Test of DeLone and McLean s Information System Success Model in a Public Organization, AMCIS 2012 Proceedings, Seattle, Washington, USA, pp Trkman, P. (2010), The critical success factors of business process management, International Journal of Information Management, Vol. 30 No. 2, pp Umble, E.J., Haft, R.R. and Umble, M.M. (2003), Enterprise resource planning: Implementation procedures and critical success factors, European Journal of Operational Research, Vol. 146 No. 2, pp Watson, H.J., Goodhue, D.L. and Wixom, B.H. (2002), The benefits of data warehousing: why some organizations realize exceptional payoffs, Information & Management, Vol. 39 No. 6, pp Wei, C.-C., Chien, C.-F. and Wang, M.-J.J. (2005), An AHP-based approach to ERP system selection, International Journal of Production Economics, Vol. 96 No. 1, pp Williams, S. and Williams, N. (2003), The Business Value of Business Intelligence, Business Intelligence Journal, Vol. 8, pp
11 Wixom, B.H. and Watson, H.J. (2001), An empirical investigation of the factors affecting data warehousing success, MIS Quarterly, Vol. 25 No. 1, pp Wolfswinkel, J.F., Furtmueller, E. and Wilderom, C.P.M. (2013), Using grounded theory as a method for rigorously reviewing literature, European Journal of Information Systems, Vol. 22 No. 1, pp Yeoh, W. and Koronios, A. (2010), Critical Success Factors for Business Intelligence Systems, Journal of Computer Information Systems, Vol. 50 No. 3, pp Yogev, N., Fink, L. and Even, A. (2012), How Business Intelligence Creates Value, ECIS 2012 Proceedings, pp
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