Exploring Configurations for Business Value from Event-Driven Architecture in Healthcare

Event-driven architecture is one of IT architectures introduced to assist enterprises operate in a real-time environment such as healthcare. As IT business value generation is a complex process, we explore configurations of event-driven architecture and other organizational elements in achieving healthcare performance. We purpose an alternative non-regression-based way, configurational approach, to study such process. Drawing on the configuration view, we attempt to capture the complexity of interactions among EDA-enabled capability and organizational elements needed to achieve higher health care quality. We tested our model with both primary and secondary data. Results show three different configurations with high levels of responding capability, dynamic capability and physicians' resistance to IT changes present in all three paths. Our findings advance understanding of a complex business value generation process and also provide practical guidance for healthcare managerial practices.

[1]  Paul A. Pavlou,et al.  Research Commentary - Seeking the Configurations of Digital Ecodynamics: It Takes Three to Tango , 2010, Inf. Syst. Res..

[2]  Nicolas M. Legewie.  An Introduction to Applied Data Analysis with Qualitative Comparative Analysis , 2013 .

[3]  S. Zahra,et al.  Entrepreneurship and Dynamic Capabilities: A Review, Model and Research Agenda , 2006 .

[4]  Victoria L. Mitchell.  Knowledge Integration and Infromation Technology Project Performance , 2006, MIS Q..

[5]  Nancy Bogucki Duncan,et al.  Capturing Flexibility of Information Technology Infrastructure: A Study of Resource Characteristics and their Measure , 1995, J. Manag. Inf. Syst..

[6]  Eric Schmidt,et al.  The Power of Now: How Winning Companies Sense and Respond to Change Using Real-Time Technology , 1999 .

[7]  Guy Paré,et al.  Barriers to organizational adoption of EMR systems in family physician practices: A mixed-methods study in Canada , 2014, Int. J. Medical Informatics.

[8]  M. Markus,et al.  Banking on information technology: converting IT spending into firm performance , 1993 .

[9]  Robert G. Fichman,et al.  Configurational Thinking and Value Creation from Digital Innovation , 2014 .

[10]  Scott B. MacKenzie,et al.  Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques , 2011, MIS Q..

[11]  Lars Mathiassen,et al.  Dynamic Capabilities in Home Health: IT-Enabled Transformation of Post-Acute Care , 2011, Journal of the AIS.

[12]  Paul A. Pavlou,et al.  Configurations of Innovation Ambidexterity Using Information Technology , 2014 .

[13]  Terry Anthony Byrd,et al.  Measuring the Flexibility of Information Technology Infrastructure: Exploratory Analysis of a Construct , 2000, J. Manag. Inf. Syst..

[14]  Marguerite Schneider,et al.  Phases of the Adoption of Innovation in Organizations: Effects of Environment, Organization and Top Managers , 2006 .

[15]  A. Winsor.  Sampling techniques. , 2000, Nursing times.

[16]  Robert J. Houghton,et al.  Vigilant Information Systems for Managing Enterprises in Dynamic Supply Chains: Real-Time Dashboards at Western Digital , 2004, MIS Q. Executive.

[17]  Peer C. Fiss.  A set-theoretic approach to organizational configurations , 2007 .

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

[19]  Peer C. Fiss.  Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research , 2011 .

[20]  Sandra Lowe,et al.  Redesigning Social Inquiry Fuzzy Sets And Beyond , 2016 .

[21]  Varun Grover,et al.  Leveraging Information Technology Infrastructure to Facilitate a Firm's Customer Agility and Competitive Activity: An Empirical Investigation , 2012, J. Manag. Inf. Syst..

[22]  Saggi Nevo,et al.  The Formation and Value of IT-Enabled Resources: Antecedents and Consequences of Synergistic Relationships , 2010, MIS Q..

[23]  Kenneth L. Kraemer,et al.  Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value , 2004, MIS Q..

[24]  Eric K. Clemons,et al.  Impactful Research on Transformational Information Technology: An Opportunity to Inform New Audiences , 2013, MIS Q..

[25]  A. Tsui,et al.  Configurational Approaches to Organizational Analysis , 1993 .

[26]  Ritu Agarwal,et al.  The Digital Transformation of Healthcare: Current Status and the Road Ahead , 2010 .

[27]  J. H. Lucas.  The business value of information technology: a historical perspective and thoughts for future research , 1993 .

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

[29]  Isabel Ortiz Marcos,et al.  Innovation projects performance: Analyzing the impact of organizational characteristics , 2016 .

[30]  I. Barreto.  Dynamic Capabilities: A Review of Past Research and an Agenda for the Future , 2010 .

[31]  D. Teece.  Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance , 2007 .

[32]  S. Winter.  Understanding dynamic capabilities , 2003 .

[33]  Ritu Agarwal,et al.  Evolving Work Routines: Adaptive Routinization of Information Technology in Healthcare , 2011, Inf. Syst. Res..

[34]  Constance E. Helfat,et al.  The dynamic resource-based view: capability lifecycles , 2003 .

[35]  Kathleen M. Eisenhardt,et al.  DYNAMIC CAPABILITIES, WHAT ARE THEY? , 2000 .

[36]  Alrik Thiem,et al.  Set-Relational Fit and the Formulation of Transformational Rules in fsQCA , 2011 .

[37]  Alois Ganter,et al.  Configurational paths to organizational innovation: qualitative comparative analyses of antecedents and contingencies , 2014 .

[38]  Shilo Anders,et al.  Mediating the intersections of organizational routines during the introduction of a health IT system , 2012, Eur. J. Inf. Syst..

[39]  Paul A. Pavlou,et al.  IT-Enabled Business Capabilities for Turbulent Environments , 2008, MIS Q. Executive.

[40]  Charles C. Ragin,et al.  Fuzzy-Set Social Science , 2001 .

[41]  Russell L. Purvis,et al.  The Assimilation of Knowledge Platforms in Organizations: An Empirical Investigation , 2001 .

[42]  Hans-Gerd Ridder,et al.  Differences in the implementation of diagnosis-related groups across clinical departments: a German hospital case study. , 2007, Health services research.

[43]  Amy L. Pablo,et al.  Identifying, Enabling and Managing Dynamic Capabilities in the Public Sector , 2007 .

[44]  Robert G. Fichman,et al.  Going Beyond the Dominant Paradigm for Information Technology Innovation Research: Emerging Concepts and Methods , 2004, J. Assoc. Inf. Syst..

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

[46]  D. Snow,et al.  The Outcomes of Homeless Mobilization: The Influence of Organization, Disruption, Political Mediation, and Framing , 2000, American Journal of Sociology.

[47]  Ricky C Leung,et al.  Health information technology and dynamic capabilities. , 2012, Health care management review.

[48]  A. Boonstra,et al.  Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions , 2010, BMC health services research.

[49]  Barbara LeTourneau.  Managing physician resistance to change. , 2004, Journal of healthcare management / American College of Healthcare Executives.

[50]  Maurizio Zollo,et al.  Deliberate Learning and the Evolution of Dynamic Capabilities , 2002 .

[51]  Frank Martinez,et al.  Event-Driven Architecture: How SOA Enables the Real-Time Enterprise , 2009 .

[52]  David C Classen,et al.  Data Standards and Improvement of Quality and Safety in Child Health Care , 2009, Pediatrics.