Enterprise resource planning adoption and satisfaction determinants

Enterprise Resource Planning (ERP) systems are at the core of every firm. Making people use this costly and time-consuming investment is one of the most important issues to deal with. The main objective of the present study is to find the key determinants that open the door to user satisfaction and adoption. A theoretical model was set and an online survey was conducted to understand ERP users' perspective on such matters. The outcome was the model validation and the understanding that top management support, training, and the system quality are important constructs to assess adoption and user satisfaction. In fact, the latter (system quality) has a significant influence on the behavioural intention to use and also in the overall user satisfaction. As management support is a very relevant determinant to ERP usage. Accordingly, this study enlightens theory, by contributing to a new model of ERP adoption and satisfaction. It also provides relevant evidence to companies involved in the ERP implementation process. Study integrating the impact of management support in ERPs' usage.Integrate system quality dimension in adoption model.Proposal of a theoretical model that includes an empirical work in real ERPs' usage context.

[1]  Vernon J. Richardson,et al.  Assessing Leading Institutions, Faculty, and Articles in Premier Information Systems Research Journals , 2007, Commun. Assoc. Inf. Syst..

[2]  Janis Stirna,et al.  Organizational Adoption of Enterprise Modeling Methods - Experience Based Recommendations , 2014, PoEM.

[3]  Trevor A. Spedding,et al.  Enterprise resource planning: An integrative review , 2004, Bus. Process. Manag. J..

[4]  Rupashree Baral,et al.  Adoption of ERP system: An empirical study of factors influencing the usage of ERP and its impact on end user , 2015 .

[5]  Shih-Wen Chien,et al.  Investigating the success of ERP systems: Case studies in three Taiwanese high-tech industries , 2007, Comput. Ind..

[6]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[7]  Erik Brynjolfsson,et al.  The productivity paradox of information technology , 1993, CACM.

[8]  Lee G. Cooper,et al.  Market-Share Analysis , 1988 .

[9]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[10]  Judy A. Siguaw,et al.  Formative versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration , 2006 .

[11]  Prasad Bingi,et al.  Critical Issues Affecting an ERP Implementation , 1999, Inf. Syst. Manag..

[12]  F. Robert Jacobs,et al.  Enterprise resource planning (ERP)—A brief history , 2007 .

[13]  Yaman Roumani,et al.  Understanding the link between organizational learning capability and ERP system usage: An empirical examination , 2014, Comput. Hum. Behav..

[14]  T. Davenport.  Putting the enterprise into the enterprise system. , 1998, Harvard business review.

[15]  P. Lachenbruch.  Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[16]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[17]  Yujong Hwang,et al.  Investigating enterprise systems adoption: uncertainty avoidance, intrinsic motivation, and the technology acceptance model , 2005, Eur. J. Inf. Syst..

[18]  Blair H. Sheppard,et al.  The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research , 1988 .

[19]  Narasimhaiah Gorla,et al.  Organizational impact of system quality, information quality, and service quality , 2010, J. Strateg. Inf. Syst..

[20]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[21]  Abdullah S. Al-Mudimigh,et al.  Enterprise resource planning: A taxonomy of critical factors , 2003, Eur. J. Oper. Res..

[22]  Blair H. Sheppard,et al.  THEORY OF REASONED ACTION , 2014 .

[23]  Samo Bobek,et al.  Impacts of TAM-based External Factors on ERP Acceptance , 2013 .

[24]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .

[25]  A. F. Salam,et al.  An extension of the technology acceptance model in an ERP implementation environment , 2004, Inf. Manag..

[26]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[27]  Vichita Vathanophas,et al.  Enterprise resource planning: technology acceptance in Thai universities , 2009, Enterp. Inf. Syst..

[28]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[29]  Wen-Hsien Tsai,et al.  A comprehensive study of the relationship between enterprise resource planning selection criteria and enterprise resource planning system success , 2012, Inf. Manag..

[30]  Jacob Cohen.  Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[31]  Michael Rosemann,et al.  What is ERP? , 2000, Inf. Syst. Frontiers.

[32]  David H. Olsen,et al.  Determinants of professionally autonomous end user acceptance in an enterprise resource planning system environment , 2009, Int. J. Inf. Manag..

[33]  Young B. Moon,et al.  Enterprise Resource Planning (ERP): a review of the literature , 2007 .

[34]  Enver Yücesan,et al.  The impact of ERP on supply chain management: Exploratory findings from a European Delphi study , 2003, Eur. J. Oper. Res..

[35]  Donald Eugene. Farrar,et al.  Multicollinearity in Regression Analysis; the Problem Revisited , 2011 .

[36]  Andrew McAfee,et al.  Enterprise 2.0: New Collaborative Tools for Your Organization's Toughest Challenges , 2009 .

[37]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[38]  Nedzad Isakovic,et al.  Cyclical Properties of Workers’ Remittances: Evidence from Bosnia and Herzegovina , 2015 .

[39]  Kai R. T. Larsen,et al.  A Taxonomy of Antecedents of Information Systems Success: Variable Analysis Studies , 2003, J. Manag. Inf. Syst..

[40]  Levi Shaul,et al.  Critical success factors in enterprise resource planning systems: Review of the last decade , 2013, CSUR.

[41]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[42]  Teresa M. Amabile,et al.  Extrinsic and Intrinsic Motivation , 2015 .

[43]  Ephraim R. McLean,et al.  Measuring information systems success: models, dimensions, measures, and interrelationships , 2008, Eur. J. Inf. Syst..

[44]  Adrian B. Ryans.  Estimating Consumer Preferences for a New Durable Brand in an Established Product Class , 1974 .

[45]  Fred D. Davis.  User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[46]  M. Stone.  Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .

[47]  Woan-Yuh Jang,et al.  Determinants of the Adoption of Enterprise Resource Planning within the Technology-Organization-Environment Framework: Taiwan's Communications Industry , 2008, J. Comput. Inf. Syst..

[48]  Younghwa Lee,et al.  The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..

[49]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[50]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[51]  R. Vallerand,et al.  Ajzen and Fishbein's theory of reasoned action as applied to moral behavior: A confirmatory analysis. , 1992 .

[52]  Tugrul U. Daim,et al.  Organizational Adoption of Enterprise Resource Planning Systems: A Conceptual Framework , 2007 .

[53]  M. Porter.  Towards a dynamic theory of strategy , 1991 .

[54]  S. Geisser,et al.  A Predictive Approach to Model Selection , 1979 .

[55]  Pedro Miguel Fernandes Ruivo,et al.  Examine ERP post-implementation stages of use and value: Empirical evidence from Portuguese SMEs , 2014, Int. J. Account. Inf. Syst..

[56]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[57]  Γεώργιος Β. Καλαούζης.  Δυναμικό μοντέλο ανάλυσης στρατηγικής διαχείρισης έργου : η περίπτωση υλοποίησης συστημάτων enterprise resource planning (E.R.P.) , 2003 .

[58]  I. Ajzen.  The theory of planned behavior , 1991 .

[59]  Dong Zhou,et al.  Translation techniques in cross-language information retrieval , 2012, CSUR.

[60]  Joseph Bradley,et al.  Management based critical success factors in the implementation of Enterprise Resource Planning systems , 2008, Int. J. Account. Inf. Syst..

[61]  Wynne W. Chin,et al.  A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling , 2010 .

[62]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[63]  Wynne W. Chin.  The partial least squares approach for structural equation modeling. , 1998 .

[64]  Pralay Pal,et al.  Literature review on ERP implementation challenges , 2016, Int. J. Bus. Inf. Syst..

[65]  Adrian Bernard Ryans.  Estimating consumer preferences for a new durable brand at a given price in an established product class : the development of a model and an experimental test , 1973 .

[66]  William H. DeLone.  Determinants of Success for Computer Usage in Small Business , 1988, MIS Q..

[67]  Shih-Chih Chen,et al.  RECENT RELATED RESEARCH IN TECHNOLOGY ACCEPTANCE MODEL: A LITERATURE REVIEW , 2012, Australian Journal of Business and Management Research.

[68]  Vipul K. Gupta.  Critical Success Factors in Enterprise Resource Planning , 2000 .

[69]  Gerold Riempp,et al.  An empirical investigation of employee portal success , 2010, J. Strateg. Inf. Syst..

[70]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[71]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[72]  Weiguo Fan,et al.  Determining Success for Different Website Goals , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[73]  D. Lambert,et al.  Issues in Supply Chain Management , 2000 .

[74]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

[75]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[76]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[77]  R. Pairat,et al.  A chronological review of ERP research: an analysis of ERP inception, evolution, and direction , 2005, Proceedings. 2005 IEEE International Engineering Management Conference, 2005..

[78]  Maiju Markova.  The DeLone and McLean Model of Information Systems Success – Original and Updated Models , 2006 .

[79]  Francisco J. Martínez-López,et al.  An extension of the technology acceptance model for online learning environments , 2018, Interact. Learn. Environ..

[80]  Joseph Nwankpa,et al.  ERP system usage and benefit: A model of antecedents and outcomes , 2015, Comput. Hum. Behav..

[81]  Ing-Long Wu,et al.  An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study , 2005, Int. J. Hum. Comput. Stud..

[82]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[83]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[84]  José Esteves,et al.  An Updated ERP Systems Annotated Bibliography: 2001-2005 , 2007, Commun. Assoc. Inf. Syst..

[85]  J. Tjakraatmadja,et al.  DeLone – McLean Information System Success Model Revisited : The Separation of Intention to Use-Use and the Integration of Technology Acceptance Models , 2015 .

[86]  Jose L. Salmeron,et al.  TAM-based success modeling in ERP , 2008, Interact. Comput..

[87]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[88]  Marko Sarstedt,et al.  Editorial - Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance , 2013 .