Understanding User Revisions When Using Information Systems Features: Adaptive System Use and Triggers

Post-adoptive system use is often characterized by cycles of adaptation, in which people actively revise how they use information systems. This paper investigates how and why individual users revise their system use at the feature level. A new concept, adaptive system use (ASU), is conceptualized as a user's revisions of which and how system features are used. This research identifies four specific ASU behaviors that collectively describe how people revise their use of system features. A model of ASU is developed based on Louis and Sutton's (1991) research on how people switch to active thinking from automatic thinking. The model specifies three antecedents of ASU (novel situations, discrepancies, and deliberate initiatives) and two moderators (personal innovativeness in IT and facilitating conditions). An empirical study of 253 Microsoft Office users largely supported the research model. The findings suggest that triggers--including novel situations, discrepancies, and deliberate initiatives--are a significant impetus to ASU. This research also confirms moderating effects of personal innovativeness in IT. The findings also show the relationships among triggers: in addition to their direct impact on ASU, novel situations and deliberate initiatives exert their influence on ASU indirectly by giving rise to discrepancies in system use. Moreover, a cluster analysis identifies three heterogeneous triggering conditions and reveals that people engage in different ASU behaviors under different triggering conditions.

[1]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[2]  R. Lennox,et al.  Conventional wisdom on measurement: A structural equation perspective. , 1991 .

[3]  P. Sopp Cluster analysis. , 1996, Veterinary immunology and immunopathology.

[4]  R. Hastie Causes and effects of causal attribution , 1984 .

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

[6]  Terry S. Overton,et al.  Estimating Nonresponse Bias in Mail Surveys , 1977 .

[7]  Albert L. Lederer,et al.  Changing information technology and information technology management , 1997, Inf. Manag..

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

[9]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[10]  Teresa M. Amabile,et al.  How to kill creativity. , 1998, Harvard business review.

[11]  E. Rogers,et al.  Reinvention in the Innovation Process , 1980 .

[12]  David R. Firth,et al.  Communications of the Association for Information Systems , 2011 .

[13]  Gaby Odekerken-Schröder,et al.  Using PLS path modeling for assessing hierarchial construct models: guidelines and impirical illustration , 2009 .

[14]  George A. Marcoulides,et al.  Modern methods for business research , 1998 .

[15]  Kevin C. Desouza,et al.  Modifications and innovations to technology artifacts , 2007 .

[16]  Jing Zhou When the presence of creative coworkers is related to creativity: role of supervisor close monitoring, developmental feedback, and creative personality. , 2003, The Journal of applied psychology.

[17]  W. Orlikowski,et al.  Windows of Opportunity: Temporal Patterns of Technological Adaptation in Organizations , 2011 .

[18]  Brian P. Flaherty,et al.  An Alternative Framework for Defining Mediation. , 1998, Multivariate behavioral research.

[19]  R. Oliver Cognitive, affective, and attribute bases of the satisfaction response. , 1993 .

[20]  Ellen F. Greenberg,et al.  Creativity, autonomy, and evaluation of creative work: Artistic workers in organizations. , 1992 .

[21]  G. R. Oldham,et al.  Employee Creativity: Personal and Contextual Factors at Work , 1996 .

[22]  Terri L. Griffith,et al.  Cognitive Elements in the Implementation of New Technology: Can Less Information Provide More Benefits? , 1996, MIS Q..

[23]  Wanda J. Orlikowski,et al.  Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations , 2000, Theory in CSCW.

[24]  Jason Bennett Thatcher,et al.  Conceptualizing models using multidimensional constructs: a review and guidelines for their use , 2012, Eur. J. Inf. Syst..

[25]  Ana Ortiz de Guinea,et al.  Why break the habit of a lifetime? rethinking the roles of intention, habit, and emotion in continuing information technology use , 2009 .

[26]  S. Jackson,et al.  Toward an understanding of the burnout phenomenon. , 1986, The Journal of applied psychology.

[27]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

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

[29]  M R Louis,et al.  Surprise and sense making: what newcomers experience in entering unfamiliar organizational settings. , 1980, Administrative science quarterly.

[30]  Onne Janssen Innovative behaviour and job involvement at the price of conflict and less satisfactory relations with co-workers , 2003 .

[31]  S. M. Arnsten Intrinsic motivation. , 1990, The American journal of occupational therapy : official publication of the American Occupational Therapy Association.

[32]  Gregory J. Feist,et al.  The Psychology of Science : Review and Integration of a Nascent Discipline , 1998 .

[33]  Izak Benbasat,et al.  Integrating Diffusion of Innovations and Theory of Reasoned Action models to predict utilization of information technology by end-users , 1996 .

[34]  Starr Roxanne Hiltz,et al.  The evolution of user behavior in a computerized conferencing system , 1981, CACM.

[35]  R. Ryan,et al.  PERSONALITY PROCESSES AND INDIVIDUAL DIFFERENCES Origins and Pawns in the Classroom: Self-Report and Projective Assessments of Individual Differences in Children's Perceptions , 1986 .

[36]  P. Shrout,et al.  Mediation in experimental and nonexperimental studies: new procedures and recommendations. , 2002, Psychological methods.

[37]  Cheryl Burke Jarvis,et al.  A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research , 2003 .

[38]  Fred D. Davis,et al.  A critical assessment of potential measurement biases in the technology acceptance model: three experiments , 1996, Int. J. Hum. Comput. Stud..

[39]  D. Hambrick High Profit Strategies in Mature Capital Goods Industries: A Contingency Approach , 1983 .

[40]  Gerardine DeSanctis,et al.  Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory , 1994 .

[41]  G. R. Oldham,et al.  The curvilinear relation between experienced creative time pressure and creativity: moderating effects of openness to experience and support for creativity. , 2006, The Journal of applied psychology.

[42]  Kalle Lyytinen HCI Research: Future Directions that Matter , 2010 .

[43]  Jason Bennett Thatcher,et al.  An Empirical Examination of Individual Traits as Antecedents to Computer Anxiety and Computer Self-Efficacy , 2002, MIS Q..

[44]  S. Scott,et al.  DETERMINANTS OF INNOVATIVE BEHAVIOR: A PATH MODEL OF INDIVIDUAL INNOVATION IN THE WORKPLACE , 1994 .

[45]  J. H. Davis,et al.  An Integrative Model Of Organizational Trust , 1995 .

[46]  William Lewis,et al.  Research Note - Statistical Power in Analyzing Interaction Effects: Questioning the Advantage of PLS with Product Indicators , 2007, Inf. Syst. Res..

[47]  Jason Bennett Thatcher,et al.  The Role of Trust in Postadoption IT Exploration: An Empirical Examination of Knowledge Management Systems , 2011, IEEE Transactions on Engineering Management.

[48]  T. M. Amabile,et al.  The Work Preference Inventory: assessing intrinsic and extrinsic motivational orientations. , 1994, Journal of personality and social psychology.

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

[50]  M. Kirton Adaptors and Innovators: A Description and Measure. , 1976 .

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

[52]  Wanda J. Orlikowski,et al.  Technological frames: making sense of information technology in organizations , 1994, TOIS.

[53]  G. V. Ryzin Testing the Expectancy Disconfirmation Model of Citizen Satisfaction with Local Government , 2006 .

[54]  Pratim Datta,et al.  An Empirical Assessment of User Perceptions of Feature versus Application Level Usage , 2007, Commun. Assoc. Inf. Syst..

[55]  S. M. Sales,et al.  Some effects of role overload and role underload , 1970 .

[56]  Frances J. Milliken,et al.  Executives’ Perceptual Filters: What They Notice and How They Make Sense , 1988 .

[57]  L. Sproull,et al.  Thinking About Implementation , 1986 .

[58]  W. W. Rozeboom Sensitivity of a linear composite of predictor items to differential item weighting , 1979 .

[59]  Wynne W. Chin Issues and Opinion on Structural Equation Modeling by , 2009 .

[60]  R. J. Bogumil,et al.  The reflective practitioner: How professionals think in action , 1985, Proceedings of the IEEE.

[61]  Kevin C. Stagl,et al.  Understanding team adaptation: a conceptual analysis and model. , 2006, The Journal of applied psychology.

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

[63]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[64]  D. Schoen,et al.  The Reflective Practitioner: How Professionals Think in Action , 1985 .

[65]  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.

[66]  Varun Grover,et al.  Investigating Two Contradictory Views of Formative Measurement in Information Systems Research , 2010, MIS Q..

[67]  Richard D. Johnson,et al.  The Evolving Nature of the Computer Self-Efficacy Construct: An Empirical Investigation of Measurement Construction, Validity, Reliability and Stability Over Time , 2007, J. Assoc. Inf. Syst..

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

[69]  Teresa M. Amabile,et al.  Motivating Creativity in Organizations: On Doing What You Love and Loving What You Do , 1997 .

[70]  Robert W. Zmud,et al.  A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems , 2005, MIS Q..

[71]  Robert W. Zmud,et al.  The Nature and Determinants of IT Acceptance, Routinization, and Infusion , 1993, Diffusion, Transfer and Implementation of Information Technology.

[72]  A. Adam Whatever happened to information systems ethics? Caught between the devil and the deep blue sea , 2004 .

[73]  Neal G. Shaw Capturing the Technological Dimensions of IT Infrastructure Change: A Model and Empirical Evidence , 2002, J. Assoc. Inf. Syst..

[74]  Arun Rai,et al.  Firm performance impacts of digitally enabled supply chain integration capabilities , 2006 .

[75]  Paul T. P. Wong,et al.  When people ask "why" questions, and the heuristics of attributional search. , 1981 .

[76]  K. Kuutti Activity theory as a potential framework for human-computer interaction research , 1995 .

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

[78]  Anol Bhattacherjee,et al.  Understanding Post-Adoption Behavior in the Context of Online Services , 1998, Inf. Syst. Res..

[79]  Vikas Jain,et al.  IS Value at Individual Level: Analyzing Role of the Nature of IS Use , 2004, AMCIS.

[80]  Jeffrey R. Edwards,et al.  The Fallacy of Formative Measurement , 2011 .

[81]  James A. Breaugh,et al.  The Work Autonomy Scales: Additional Validity Evidence , 1989 .

[82]  Larry E. Toothaker,et al.  Multiple Regression: Testing and Interpreting Interactions , 1991 .

[83]  Sung S. Kim The integrative framework of technology use: an extension and test , 2009 .

[84]  Asli Yagmur Akbulut,et al.  Unanticipated Software Use by Adolescents Following Mandatory Adoption , 2002, ICIS.

[85]  Jeffrey M. Quinn,et al.  Habits in everyday life: thought, emotion, and action. , 2002, Journal of personality and social psychology.

[86]  Detmar W. Straub,et al.  The psychological origins of perceived usefulness and ease-of-use , 1999, Inf. Manag..

[87]  Mark S. Silver,et al.  Decision Support Systems: Directed and Nondirected Change , 1990, Inf. Syst. Res..

[88]  David J. Ketchen,et al.  THE APPLICATION OF CLUSTER ANALYSIS IN STRATEGIC MANAGEMENT RESEARCH: AN ANALYSIS AND CRITIQUE , 1996 .

[89]  G. Graen,et al.  AN EXAMINATION OF LEADERSHIP AND EMPLOYEE CREATIVITY: THE RELEVANCE OF TRAITS AND RELATIONSHIPS , 1999 .

[90]  Ronald T. Cenfetelli,et al.  Interpretation of Formative Measurement in Information Systems Research , 2009, MIS Q..

[91]  Marie-Claude Boudreau,et al.  Enacting Integrated Information Technology: A Human Agency Perspective , 2005, Organ. Sci..

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

[93]  Izak Benbasat,et al.  The Effects of Personalizaion and Familiarity on Trust and Adoption of Recommendation Agents , 2006, MIS Q..

[94]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[95]  Detmar W. Straub,et al.  Reconceptualizing System Usage: An Approach and Empirical Test , 2006, Inf. Syst. Res..

[96]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

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

[98]  Viswanath Venkatesh,et al.  Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation , 2008, MIS Q..

[99]  D. Leonard-Barton,et al.  Implementation as mutual adaptation of technology and organization , 1988 .

[100]  R. I. Sutton,et al.  Switching Cognitive Gears: From Habits of Mind to Active Thinking , 1991 .

[101]  M. Lynne Markus,et al.  A Foundation for the Study of IT Effects: A New Look at DeSanctis and Poole's Concepts of Structural Features and Spirit , 2008, J. Assoc. Inf. Syst..

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

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

[104]  Michael J. Gallivan,et al.  ORGANIZATIONS: A MULTILEVEL PERSPECTIVE , 2007 .

[105]  N. Venkatraman,et al.  Configurations of inter-organizational relationships : a comparison between US and Japanese automakers , 1995 .

[106]  M. Mumford,et al.  Leading creative people: Orchestrating expertise and relationships , 2002 .

[107]  Ronald F. Piccolo,et al.  Transformational Leadership and Job Behaviors: The Mediating Role of Core Job Characteristics. , 2006 .

[108]  Cheri Speier,et al.  The Influence of Query Interface Design on Decision-Making Performance , 2003, MIS Q..

[109]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

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

[111]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

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

[113]  J. T. Barnowe,et al.  Leadership and performance outcomes in research organizations: The supervisor of scientists as a source of assistance , 1975 .

[114]  Terri L. Griffith,et al.  Distinguishing Between the Forest and the Trees: Media, Features, and Methodology in Electronic Communication Research , 1994 .

[115]  Adamantios Diamantopoulos,et al.  Advancing formative measurement models , 2008 .

[116]  Oscar Hauptman,et al.  Effectiveness of Organizational Responses to Technological Change in the Production Process , 1992 .

[117]  R. Ryan,et al.  Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. , 1982 .

[118]  S. Urbina Essentials of Psychological Testing , 2005, PsyPag Quarterly.

[119]  Youngjin Yoo,et al.  Computing in Everyday Life: A Call for Research on Experiential Computing , 2010, MIS Q..

[120]  D. Sandy Staples,et al.  Exploring the effects of trust, task interdependence and virtualness on knowledge sharing in teams , 2008, Inf. Syst. J..

[121]  Gi Mun Kim,et al.  Investigating the reliability of second-order formative measurement in information systems research , 2011, Eur. J. Inf. Syst..

[122]  Ellen J. Langer,et al.  Minding Matters: The Consequences of Mindlessness–Mindfulness , 1989 .

[123]  Detmar W. Straub,et al.  Specifying Formative Constructs in Information Systems Research , 2007, MIS Q..

[124]  J. George,et al.  When Job Dissatisfaction Leads to Creativity: Encouraging the Expression of Voice , 2001 .

[125]  Jason Bennett Thatcher,et al.  Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use , 2005, MIS Q..

[126]  H. Raghav Rao,et al.  Knowledge Acquisition via Three Learning Processes in Enterprise Information Portals: Learning-by-Investment, Learning-by-Doing, and Learning-from-Others , 2005, MIS Q..

[127]  Henri Barki,et al.  Explaining the Role of User Participation in Information System Use , 1994 .

[128]  Deborah J. Armstrong,et al.  Understanding Mindshift Learning: The Transition to Object-Oriented Development , 2007, MIS Q..

[129]  V. Mabert,et al.  Enterprise resource planning: common myths versus evolving reality , 2001 .

[130]  R. Oliver A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[131]  J. Lewis,et al.  Trust as a Social Reality , 1985 .

[132]  DeGross Errata Notes: User Heterogeneity and Its Impact on Electronic Auction Market Design: An Empirical Exploration , 2004 .

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

[134]  Eric Abrahamson Managerial Fads and Fashions: The Diffusion and Rejection of Innovations , 1991 .

[135]  Deborah Compeau,et al.  Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..

[136]  Gerardine DeSanctis,et al.  Understanding the use of Group Decision Support Systems: The Theory of Adaptive Structuration , 1990 .

[137]  Anne Beaudry,et al.  Understanding User Responses to Information Technology: A Coping Model of User Adaption , 2005, MIS Q..

[138]  Viswanath Venkatesh,et al.  Job Characteristics and Job Satisfaction: Understanding the Role of Enterprise Resource , 2010, MIS Q..

[139]  H. Winklhofer,et al.  Index Construction with Formative Indicators: An Alternative to Scale Development , 2001 .

[140]  Izak Benbasat,et al.  Quo vadis TAM? , 2007, J. Assoc. Inf. Syst..

[141]  JoAnne Yates,et al.  It's About Time: Temporal Structuring in Organizations , 2002, Organ. Sci..

[142]  Joseph J. Martocchio,et al.  Microcomputer playfulness: development of a measure with workplace implications , 1992 .

[143]  M. Markus,et al.  The Enterprise System Experience— From Adoption to Success , 2000 .

[144]  E. Deci,et al.  The support of autonomy and the control of behavior. , 1987, Journal of personality and social psychology.

[145]  D. Mackinnon,et al.  Equivalence of the Mediation, Confounding and Suppression Effect , 2000, Prevention Science.

[146]  Gregory J. Feist Handbook of Creativity: The Influence of Personality on Artistic and Scientific Creativity , 1998 .

[147]  Pamela E. Carter,et al.  A Comprehensive Conceputalization of the Post-Adoptive Behaviors Associated with IT-Enabled Work Systems , 2005 .

[148]  Dennis F. Galletta,et al.  Cognitive Fit: An Empirical Study of Information Acquisition , 1991, Inf. Syst. Res..

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

[150]  Ryad Titah,et al.  Information System Use - Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use , 2007, Inf. Syst. Res..

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