Impact of User's Internal Flexibility and Expectations on Information Systems Usage

Information Systems (IS) usage has been a primary focus in the IS implementation research. The focus of this study is to examine the influence of user characteristics on IS usage. User characteristics were considered in terms of a user's internal flexibility, user expectations from information systems, and perceived personal usefulness. IS maturity was considered as the intervening variable moderating the effect of perceived personal usefulness on IS usage. A questionnaire survey was conducted to collect empirical data about research variables to examine the relationship. 296 users from forty-two organizations participated in the survey. Moderated regression analysis was used to examine the proposed model. The study results validate the relationship between user characteristics and IS usage. But, it does not support the moderation effect of IS maturity on the relationship with perceived personal usefulness on IS usage.

[1]  M. Treacy,et al.  Utilization as a dependent variable in MIS research , 2015, DATB.

[2]  Gerardine De Sanctis,et al.  Expectancy Theory as an Explanation of Voluntary Use of a Decision-Support System: , 1983 .

[3]  Magid Igbaria,et al.  A Motivational Model of Microcomputer Usage , 1996, J. Manag. Inf. Syst..

[4]  Detmar W. Straub,et al.  Measuring System Usage: Implications for IS Theory Testing , 1995 .

[5]  Terry Anthony Byrd,et al.  Implementation and Use of Expert Systems in Organizations: Perceptions of Knowledge Engineers , 1992, J. Manag. Inf. Syst..

[6]  T. Grandon Gill,et al.  Expert Systems Usage: Task Change and Intrinsic Motivation , 1996, MIS Q..

[7]  Cynthia M. Jackson,et al.  Toward an Understanding of the Behavioral Intention to Use an Information System , 1997 .

[8]  Ananth Srinivasan,et al.  Alternative Measures of Systems Effectiveness: Associations and Implications , 1985, MIS Q..

[9]  Diane B. Walz,et al.  A Research Agenda for Computers and Small Business , 1987 .

[10]  Sushil.  Situation–actor–process options: mapping and enhancing flexibility , 2000 .

[11]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[12]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Independent Variables , 1992, J. Manag. Inf. Syst..

[13]  Mark Keil,et al.  Usefulness and ease of use: field study evidence regarding task considerations , 1995, Decis. Support Syst..

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

[15]  Shivraj Kanungo,et al.  A structured model for evaluating information systems effectiveness , 1999 .

[16]  Kenneth A. Bollen,et al.  Structural Equations with Latent Variables , 1989 .

[17]  Jong-min Choe,et al.  The Relationships among Performance of Accounting Information Systems, Influence Factors, and Evolution Level of Information Systems , 1996, J. Manag. Inf. Syst..

[18]  Blake Ives,et al.  The measurement of user information satisfaction , 1983, CACM.

[19]  Kalle Lyytinen,et al.  Expectation failure concept and systems analysts' view of information system failures: Results of an exploratory study , 1988, Inf. Manag..

[20]  William L. Fuerst,et al.  Marketing and MIS During Times of Resource Scarcity , 1982, MIS Q..

[21]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[22]  Izak Benbasat,et al.  A critque of the stage hypothesis: theory and empirical evidence , 1984, CACM.

[23]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[24]  Gholamreza Torkzadeh,et al.  A path analytic study of determinants of information system usage , 1994 .

[25]  G Larry Sanders,et al.  MIS/DSS success measure , 1984 .

[26]  R. Fazio.  On the power and functionality of attitudes: The role of attitude accessibility. , 1989 .

[27]  Said S. Al-Gahtani,et al.  Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology , 1999, Behav. Inf. Technol..

[28]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[29]  R. Kelly Rainer,et al.  Impact of User Satisfaction and Trust on Virtual Team Members , 2002, Inf. Resour. Manag. J..

[30]  Marion G. Sobol,et al.  The relationship between computerization and performance: A strategy for maximizing the economic benefits of computerization , 1983, Inf. Manag..

[31]  Mikko Ruohonen,et al.  Analysing the Quality of IS Use and Management in the Organizational Context: Experiences from Two Cases , 1997 .

[32]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[33]  Charles M. Wiseman,et al.  Strategy and Computers: Information Systems As Competitive Weapons , 1985 .

[34]  Bernadette Szajna,et al.  Software Evaluation and Choice: Predictive Validation of the Technology Acceptance Instrument , 1994, MIS Q..

[35]  B. Munro.  Statistical methods for health care research , 1986 .

[36]  Robert D. Galliers,et al.  Information systems management and strategy formulation: the ‘stages of growth’ model revisited , 1991, Inf. Syst. J..

[37]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[38]  Robert M. Alloway,et al.  User Managers' Systems Needs , 2015, MIS Q..

[39]  Eric K. Clemons,et al.  Information Technology and Industrial Cooperation: The Changing Economics of Coordination and Ownership , 1992, J. Manag. Inf. Syst..

[40]  S. Sethi,et al.  Relating strategy and structure to flexible automation: A test of fit and performance implications , 1993 .

[41]  A. Bandura.  Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[42]  Thomas Hill,et al.  Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers. , 1987 .

[43]  Detmar W. Straub,et al.  The Effect of Culture on IT Diffusion: E-Mail and FAX in Japan and the U.S , 1994, Inf. Syst. Res..

[44]  Albert L. Lederer,et al.  A study of personal computer utilization by managers , 1990, Inf. Manag..

[45]  Mo Adam Mahmood,et al.  Effect of Organizational Maturity on End-Users' Satisfaction with Information Systems , 1986, J. Manag. Inf. Syst..

[46]  Xitao Fan,et al.  Effects of Potential Confounding Factors on Fit Indices and Parameter Estimates for True and Misspecified SEM Models , 1998 .

[47]  X. Sushil,et al.  Flexible systems management: an evolving paradigm , 1997 .

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

[49]  Joel B. Cohen,et al.  The Dissonance Model in Post-Decision Product Evaluation , 1970 .

[50]  Kevin Crowston,et al.  Assessing the Impact of Information Technology on Enterprise Level Performance , 1986, ICIS.

[51]  Louis Raymond,et al.  Organizational Characteristics and MIS Success in the Context of Small Business , 1985, MIS Q..

[52]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

[53]  Wynne W. Chin,et al.  Extending the technology acceptance model: the influence of perceived user resources , 2001, DATB.

[54]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[55]  Wynne W. Chin,et al.  Adoption intention in GSS: relative importance of beliefs , 1995, DATB.

[56]  R. Olshavsky,et al.  Consumer Expectations, Product Performance, and Perceived Product Quality , 1972 .

[57]  N. Melone.  A theoretical assessment of the user-satisfaction construct in information systems research , 1990 .

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

[59]  E. Aronson,et al.  Performance expectancy as a determinant of actual performance. , 1962, Journal of abnormal and social psychology.

[60]  LimayemMoez,et al.  Measuring System Usage , 1995 .

[61]  D. R. Jourdan.  Accessing genetic sequence information on the net , 1996 .

[62]  F. Dwyer,et al.  Developing Buyer-Seller Relationships: , 1987 .

[63]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[64]  E. B. Swanson,et al.  Information System Implementation: Bridging the Gap Between Design and Utilization , 1988 .

[65]  Akhilesh Bajaj,et al.  A feedback model to understand information system usage , 1998, Inf. Manag..

[66]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[67]  Les Hardy,et al.  The Expectation Gap , 2003 .

[68]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

[69]  Ali Reza Montazemi,et al.  An Analysis Of Information Technology Assessment And Adoption In Small Business Environments , 1987 .

[70]  Mohamed Khalifa,et al.  A survey study of the current IS usage in the Chinese manufacturing industry , 1998, Inf. Manag..

[71]  Richard W. Scamell,et al.  The Effects of Information System User Expectations on Their Performance and Perceptions , 1993, MIS Q..

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

[73]  Kenneth L. Kraemer,et al.  Evolution and organizational information systems: an assessment of Nolan's stage model , 1984, CACM.

[74]  A. Bandura.  Self-efficacy mechanism in human agency. , 1982 .

[75]  Richard L. Nolan,et al.  Managing the computer resource , 1973, Commun. ACM.

[76]  Timo Saarinen.  Evolution of information systems in organizations , 1989 .

[77]  V. Zeithaml,et al.  A Dynamic Process Model of Service Quality: From Expectations to Behavioral Intentions , 1993 .

[78]  Magid Igbaria,et al.  User acceptance of microcomputer technology: An empirical test , 1993 .