Implementation through force or Measure? How Institutional pressures Shape National eHealth Implementation Programs

Theoretical contributions on ‘user resistance’ have recently received increasing attention with regards to explaining the failed integration of various types of information systems. Unlike the yet more widespread technology acceptance theories, user resistance offers an alternative view to systemrelated antecedents by taking into account antecedents at the level of the user and their perceived organizational environment. However, previous models have ignored the possible influence of institutional pressures, namely coercive, mimetic and normative pressure, on an individual user’s decision to resist a technology. These are particularly applicable in national IS implementation programs like e.g. large-scale eHealth programs, where factors outside the organization, such as government pressure or public opinion, affect user behaviour. Our study focuses on the introduction of the German Electronic Health Card, an eHealth program, which has been resisted by resident medical doctors for years. The authors introduce an extended ‘Status Quo Bias Model’ and test it amongst a sample of 351 German doctors examining the effects of coercive, mimetic and normative pressures on resistance to this eHealth program. We add a quantitative analysis to the literature on national eHealth programs and user resistance theory, two areas of study, which are predominantly based on findings from case study data.

[1]  Wendy L. Currie,et al.  Conflicting institutional logics: a national programme for IT in the organisational field of healthcare , 2007, J. Inf. Technol..

[2]  Daniel J. Veit,et al.  Which Processes Do Users Not Want Online? Extending Process Virtualization Theory , 2011, ICIS.

[3]  J. Herold,et al.  Physician response to surveys. A review of the literature. , 2001, American journal of preventive medicine.

[4]  Elaine H. Ferneley,et al.  Resist, comply or workaround? An examination of different facets of user engagement with information systems , 2006, Eur. J. Inf. Syst..

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

[6]  William Samuelson,et al.  Status quo bias in decision making , 1988 .

[7]  Yogesh Kumar Dwivedi,et al.  Information Systems Theory: Explaining and Predicting Our Digital Society, Vol. 2 , 2011 .

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

[9]  R. E. Burnkrant,et al.  Informational and Normative Social Influence in Buyer Behavior , 1975 .

[10]  David E. Avison,et al.  Time to rethink health care and ICT? , 2007, CACM.

[11]  Emily McFarlane,et al.  Conducting Survey Research among Physicians and other Medical Professionals - A Review of Current Literature , 2008 .

[12]  Ronald T. Cenfetelli Inhibitors and Enablers as Dual Factor Concepts in Technology Usage , 2004, J. Assoc. Inf. Syst..

[13]  Alan D. Meyer,et al.  ENVIRONMENTAL JOLTS AND INDUSTRY REVOLUTIONS: ORGANIZATIONAL RESPONSES TO DISCONTINUOUS CHANGE , 1990 .

[14]  Sundeep Sahay,et al.  An institutional analysis on the dynamics of the interaction between standardizing and scaling processes: a case study from Ethiopia , 2008, Eur. J. Inf. Syst..

[15]  Suzanne Rivard,et al.  The institutionalization of information system project management practices , 2012, Inf. Organ..

[16]  Eric Monteiro,et al.  Configurable Politics and Asymmetric Integration: Health e-Infrastructures in India , 2009, J. Assoc. Inf. Syst..

[17]  Sten Jönsson Institutions and Organizations , 1997 .

[18]  Yogesh Kumar Dwivedi,et al.  Contemporary trends and issues in IT adoption and diffusion research , 2009, J. Inf. Technol..

[19]  W. Chismar,et al.  The interaction of institutionally triggered and technology-triggered social structure change: an investigation of computerized physician order entry , 2007 .

[20]  Detmar W. Straub,et al.  Riding the Wave: Past Trends and Future Directions for Health IT Research , 2012 .

[21]  Scott A. Boorman,et al.  Toward a Structural Theory of Action: Network Models of Social Structure, Perception, and Action, by RONALD S. BURT. New York: Academic Press, 1982. 381 pp. NPL cloth. , 2016 .

[22]  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..

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

[24]  Chitu Okoli,et al.  A Guide to Conducting a Systematic Literature Review of Information Systems Research , 2010 .

[25]  Tina Blegind Jensen,et al.  Building nation-wide information infrastructures in healthcare through modular implementation strategies , 2011, J. Strateg. Inf. Syst..

[26]  Wendy L. Currie,et al.  Institutional isomorphism and change: the national programme for IT – 10 years on , 2012, J. Inf. Technol..

[27]  Richard T. Watson,et al.  Analyzing the Past to Prepare for the Future: Writing a Literature Review , 2002, MIS Q..

[28]  Kailash Joshi,et al.  A Model of Users' Perspective on Change: The Case of Information Systems Technology Implementation , 1991, MIS Q..

[29]  Gianluca Miscione,et al.  Telemedicine in the Upper Amazon: Interplay with Local Health Care Practices , 2007, MIS Q..

[30]  Suzanne Rivard,et al.  A Multilevel Model of Resistance to Information Technology Implementation , 2005, MIS Q..

[31]  G. Johnson,et al.  Task and Institutional Influences on Managers' Mental Models of Competition , 2002 .

[32]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .

[33]  L. Solberg,et al.  A comparison of two methods to recruit physicians to deliver smoking cessation interventions. , 1990, Archives of internal medicine.

[34]  Anol Bhattacherjee,et al.  Physicians' resistance toward healthcare information technology: a theoretical model and empirical test , 2007, Eur. J. Inf. Syst..

[35]  Sven Laumer,et al.  Who influences whom? Analyzing workplace referents' social influence on IT adoption and non-adoption , 2009, J. Inf. Technol..

[36]  W. Powell,et al.  The iron cage revisited institutional isomorphism and collective rationality in organizational fields , 1983 .

[37]  Régis Meissonier,et al.  Toward an ‘IT Conflict-Resistance Theory’: action research during IT pre-implementation , 2010, Eur. J. Inf. Syst..

[38]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

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

[40]  Eric Overby,et al.  Process Virtualization Theory and the Impact of Information Technology , 2008, Organ. Sci..

[41]  Agnes Werner,et al.  An attributional explanation of individual resistance to the introduction of information technologies in the workplace , 1996, Behav. Inf. Technol..

[42]  M. Lynne Markus,et al.  Power, politics, and MIS implementation , 1987, CACM.

[43]  S. Asch,et al.  Problems in recruiting community-based physicians for health services research , 2000, Journal of general internal medicine.

[44]  C. Oliver STRATEGIC RESPONSES TO INSTITUTIONAL PROCESSES , 1991 .

[45]  Suzanne Rivard,et al.  Information Technology Implementers' Responses to User Resistance: Nature and Effects , 2012, MIS Q..

[46]  Viswanath Venkatesh,et al.  Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle , 2005, MIS Q..

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

[48]  Jørn Braa,et al.  DEVELOPING HEALTH INFORMATION SYSTEMS IN DEVELOPING COUNTRIES THE FLEXIBLE STANDARDS STRATEGY , 2006 .

[49]  Atreyi Kankanhalli,et al.  Investigating user resistance to information systems implementation: a status quo bias perspective , 2009 .

[50]  Zhiping Walter,et al.  Physician acceptance of information technologies: Role of perceived threat to professional autonomy , 2008, Decis. Support Syst..

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

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

[53]  Tim Klaus,et al.  User resistance determinants and the psychological contract in enterprise system implementations , 2010, Eur. J. Inf. Syst..

[54]  Geoff Walsham,et al.  The great legitimizer: ICT as myth and ceremony in the Indian healthcare sector , 2007, Inf. Technol. People.

[55]  Jagdip Singh,et al.  Consumer Trust, Value, and Loyalty in Relational Exchanges , 2002 .

[56]  David L. Mothersbaugh,et al.  Switching barriers and repurchase intentions in services , 2000 .

[57]  Steven Hornik,et al.  Passive resistance misuse: overt support and covert recalcitrance in IS implementation , 1996 .

[58]  Chris Sauer,et al.  Unreasonable expectations – NHS IT, Greek choruses and the games institutions play around mega-programmes , 2007 .

[59]  Yogesh Kumar Dwivedi,et al.  Information Systems Theory: Explaining and Predicting Our Digital Society [EDITED BOOK], , 2012 .

[60]  Sarah Milne Self-efficacy in changing societies , 1999, Journal of health psychology.

[61]  Izak Benbasat,et al.  Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective , 2003, MIS Q..

[62]  T. Johnson,et al.  Methodologies for Improving Response Rates in Surveys of Physicians , 2007, Evaluation & the health professions.

[63]  Annemette Kjærgaard,et al.  Using institutional theory with sensemaking theory: a case study of information system implementation in healthcare , 2009, J. Inf. Technol..

[64]  W. Richard Scott,et al.  Institutional Change and Healthcare Organizations: From Professional Dominance to Managed Care , 2000 .

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

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

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