Information Technology: A Coping Model of User Adaptation1

This paper defines user adaptation as the cogni tive and behavioral efforts performed by users to cope with significant information technology events that occur in their work environment. Drawing on coping theory, we posit that users choose different adaptation strategies based on a combination of

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

[2]  T. Begley,et al.  Coping strategies as predictors of employee distress and turnover after an organizational consolidation: A longitudinal analysis , 1998 .

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

[4]  G. Huber,et al.  Organizational Actions in Response to Threats and Opportunities , 2001 .

[5]  Vallabh Sambamurthy,et al.  Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment , 2000, Inf. Syst. Res..

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

[7]  Susan Folkman,et al.  Making the case for coping. , 1992 .

[8]  R. Lazarus.  Psychological stress and the coping process , 1970 .

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

[10]  R. McCrae.  Situational determinants of coping responses: loss, threat, and challenge. , 1984, Journal of personality and social psychology.

[11]  Shelley E. Taylor,et al.  Social cognition, 2nd ed. , 1991 .

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

[13]  Brian T. Pentland,et al.  USE AND PRODUCTIVITY IN PERSONAL COMPUTING: AN EMPIRICAL TEST , 1989 .

[14]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[15]  M. Jerusalem,et al.  Self-efficacy in stressful life transitions. , 1995 .

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

[17]  Marc B. Sokol,et al.  Adaptation to difficult designs: Facilitating use of new technology , 1994 .

[18]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[19]  Wanda J. Orlikowski,et al.  Improvising Organizational Transformation Over Time: A Situated Change Perspective , 1996, Inf. Syst. Res..

[20]  J. Rotter.  Generalized expectancies for internal versus external control of reinforcement. , 1966, Psychological monographs.

[21]  E. Rogers.  Diffusion of Innovations , 1962 .

[22]  Anne Beaudry,et al.  IT-Induced Adaptation and Individual Performance: A Coping Acts Model , 2001, ICIS.

[23]  Alain Pinsonneault,et al.  Information Technology and the Nature of Managerial Work: From the Productivity Paradox to the Icarus Paradox? , 1998, MIS Q..

[24]  James B. Shaw,et al.  A Conceptual Framework for Assessing Organization, Work Group, and Individual Effectiveness During and After Downsizing , 1997 .

[25]  Simon S. K. Lam,et al.  Collective efficacy versus self-efficacy in coping responses to stressors and control: a cross-cultural study. , 2000, The Journal of applied psychology.

[26]  Ronald E. Rice,et al.  Technology adaption: the case of a computer-supported inter-organizational virtual team 1 , 2000 .

[27]  R. McCrae,et al.  Age differences and changes in the use of coping mechanisms. , 1989, Journal of gerontology.

[28]  R. Lazarus,et al.  Toward better research on stress and coping. , 2000, The American psychologist.

[29]  J. Kirk,et al.  Reliability and Validity in Qualitative Research , 1985 .

[30]  S. Jex,et al.  Efficacy beliefs as a moderator of the impact of work-related stressors: a multilevel study. , 1999, The Journal of applied psychology.

[31]  Ann Majchrzak,et al.  A Longitudinal Study of Adjustment to Technological Change: From Mass To Computer-Automated Batch Production , 1988 .

[32]  Wanda J. Orlikowski,et al.  The episodic process of learning by using , 2014 .

[33]  M. Patrickson.  Adaptation by employees to new technology , 1986 .

[34]  Peter A. Clark,et al.  Anglo-American innovation , 1987 .

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

[36]  Blake Ives,et al.  User Involvement and MIS Success: A Review of Research , 1984 .

[37]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[38]  Dale Goodhue,et al.  Understanding user evaluations of information systems , 1995 .

[39]  Kalle Lyytinen,et al.  The Disruptive Nature of Information Technology Innovations: The Case of Internet Computing in Systems Development Organizations , 2003, MIS Q..

[40]  Fred L. Collopy,et al.  Biases in retrospective self-reports of time use: an empirical study of computer users , 1996 .

[41]  Cary L. Cooper,et al.  Coping in occupational settings. , 1996 .

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

[43]  J. Dutton,et al.  Categorizing Strategic Issues: Links to Organizational Action , 1987 .

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

[45]  Gerardine DeSanctis,et al.  Use of group decision support systems as an appropriation process , 1989, [1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume IV: Emerging Technologies and Applications Track.

[46]  J. Moskowitz,et al.  Positive affect and the other side of coping. , 2000, The American psychologist.

[47]  Richard S. Lazarus,et al.  Stress and Emotion: A New Synthesis , 1999 .

[48]  Gilbert Yip Wei Tan,et al.  Predictors of Coping Behavior after a Layoff , 1998 .

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

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

[51]  Vallabh Sambamurthy,et al.  Sources of Influence on Beliefs about Information Technolgoy Use: An Empirical Study of Knowledge Workers , 2003, MIS Q..

[52]  S. Oakland,et al.  Measuring Coping: A Review and Critique , 1996 .

[53]  J. Dutton,et al.  Discerning threats and opportunities. , 1988 .

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

[55]  Terri L. Griffith.  Technology Features as Triggers for Sensemaking , 1999 .

[56]  S. Folkman,et al.  Appraisal, coping, health status, and psychological symptoms. , 1986, Journal of personality and social psychology.

[57]  J. Morse.  Qualitative data analysis (2nd ed): Mathew B. Miles and A. Michael Huberman. Thousand Oaks, CA: Sage Publications, 1994. Price: $65.00 hardback, $32.00 paperback. 238 pp , 1996 .

[58]  Ilze Zigurs,et al.  A test of task-technology fit theory for group support systems , 1999, DATB.

[59]  I Grant,et al.  Internal vs. external determinants of coping responses to stressful life-events in the elderly. , 1990, The British journal of medical psychology.

[60]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[61]  Diane M. Strong,et al.  EXTENDING THE TASK-TECHNOLOGY FIT MODEL WITH SELF-EFFICACY CONSTRUCTS , 2002 .

[62]  Ellen M. Hufnagel,et al.  User Response Data: The Potential for Errors and Biases , 1994, Inf. Syst. Res..

[63]  S. Folkman,et al.  Journal of Personality and Social Psychology If It Changes It Must Be a Process: Study of Emotion and Coping during Three Stages of a College Examination , 2022 .

[64]  Larry D. Rosen,et al.  The etiology of computerphobia , 1990 .

[65]  M. Somerfield,et al.  Stress and coping research. Methodological challenges, theoretical advances, and clinical applications. , 2000, The American psychologist.

[66]  Ilze Zigurs,et al.  A Theory of Task/Technology Fit and Group Support Systems Effectiveness , 1998, MIS Q..

[67]  Susan T. Dumais,et al.  Computerization, productivity, and quality of work-life , 1989, CACM.

[68]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..