Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations: A Configurational Perspective
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LeeAnn Kung | Yichuan Wang | Suraksha Gupta | Sena Ozdemir | Suraksha Gupta | S. Ozdemir | LeeAnn Kung | Yichuan Wang
[1] David Gefen,et al. Structural Equation Modeling Techniques and Regression: Guidelines for Research Practice , 2000 .
[2] Shahriar Akter,et al. How to improve firm performance using big data analytics capability and business strategy alignment , 2016 .
[3] Indranil R. Bardhan,et al. Predictive Analytics for Readmission of Patients with Congestive Heart Failure , 2015, Inf. Syst. Res..
[4] Terri L. Griffith,et al. Information Technology and the Changing Fabric of Organization , 2007, Organ. Sci..
[5] Peter Buxmann,et al. Big Data and Information Processing in Organizational Decision Processes , 2014, Bus. Inf. Syst. Eng..
[6] Peter B. Seddon,et al. How Does Business Analytics Contribute to Business Value? , 2012, ICIS.
[7] Jannis Kallinikos,et al. Patient Data as Medical Facts: Social Media Practices as a Foundation for Medical Knowledge Creation , 2014, Inf. Syst. Res..
[8] Allègre L. Hadida,et al. Organizational Improvisation: A Consolidating Review and Framework , 2015 .
[9] S. Mamonov,et al. Business Analytics in Practice and in Education: A Competency-based Perspective , 2015 .
[10] Adam M. Grant,et al. In the company of givers and takers. , 2013, Harvard business review.
[11] Aleš Popovič,et al. Towards business intelligence systems success: Effects of maturity and culture on analytical decision making , 2012, Decis. Support Syst..
[12] Rik Maes,et al. International Journal of Information Management on the Governance of Information: Introducing a New Concept of Governance to Support the Management of Information , 2022 .
[13] Peer C. Fiss,et al. Configurational Theory and Methods in Organizational Research , 2013 .
[14] William J. Kettinger,et al. CIO and Business Executive Leadership Approaches to Establishing Company-wide Information Orientation , 2011, MIS Q. Executive.
[15] Joey F. George,et al. Toward the development of a big data analytics capability , 2016, Inf. Manag..
[16] Yichuan Wang,et al. An integrated big data analytics-enabled transformation model: Application to health care , 2018, Inf. Manag..
[17] Guido Schryen,et al. Revisiting IS business value research: what we already know, what we still need to know, and how we can get there , 2013, Eur. J. Inf. Syst..
[18] Yichuan Wang,et al. Exploring the path to big data analytics success in healthcare , 2017 .
[19] Shahriar Akter,et al. Big data analytics and firm performance: Effects of dynamic capabilities , 2017 .
[20] Barbara Wixom,et al. Maximizing Value from Business Analytics , 2013, MIS Q. Executive.
[21] T. Oliveira,et al. Assessing business value of Big Data Analytics in European firms , 2017 .
[22] Stuart E. Madnick,et al. A Cubic Framework for the Chief Data Officer: Succeeding in a World of Big Data , 2014, MIS Q. Executive.
[23] Peer C. Fiss,et al. Embracing Causal Complexity , 2017 .
[24] Adir Even,et al. Business intelligence and organizational learning: An empirical investigation of value creation processes , 2017, Inf. Manag..
[25] Erik Brynjolfsson,et al. Big data: the management revolution. , 2012, Harvard business review.
[26] M. Schultz,et al. Responding to Organizational Identity Threats: Exploring the Role of Organizational Culture , 2006 .
[27] Arun Rai,et al. Firm performance impacts of digitally enabled supply chain integration capabilities , 2006 .
[28] Donald D. Bergh,et al. Learning how to restructure: absorptive capacity and improvisational views of restructuring actions and performance , 2008 .
[29] Jignesh M. Patel,et al. Big data and its technical challenges , 2014, CACM.
[30] I. Barreto. Dynamic Capabilities: A Review of Past Research and an Agenda for the Future , 2010 .
[31] Paul A. Pavlou,et al. IT-Enabled Business Capabilities for Turbulent Environments , 2008, MIS Q. Executive.
[32] Anandhi S. Bharadwaj,et al. A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation , 2000, MIS Q..
[33] Rana Tassabehji,et al. The impact of big data analytics on firms’ high value business performance , 2016, Information Systems Frontiers.
[34] Wynne W. Chin. The partial least squares approach for structural equation modeling. , 1998 .
[35] Ming Fan,et al. Information technology and organizational capabilities: A longitudinal study of the apparel industry , 2012, Decis. Support Syst..
[36] Rajeev Sharma,et al. Transforming Decision-Making Processes Transforming decision-making processes : a research agenda for understanding the impact of business analytics on organizations , 2017 .
[37] Terry Anthony Byrd,et al. Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations , 2018 .
[38] Nicolas M. Legewie. An Introduction to Applied Data Analysis with Qualitative Comparative Analysis , 2013 .
[39] Detmar W. Straub,et al. Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..
[40] 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.
[41] P. M. Podsakoff,et al. Self-Reports in Organizational Research: Problems and Prospects , 1986 .
[42] Terry Anthony Byrd,et al. Business analytics-enabled decision-making effectiveness through knowledge absorptive capacity in health care , 2017, J. Knowl. Manag..
[43] Thomas H. Davenport,et al. Analytics at Work: Smarter Decisions, Better Results , 2010 .
[44] Peter Trkman,et al. The impact of business analytics on supply chain performance , 2010, Decis. Support Syst..
[45] Saggi Nevo,et al. The Formation and Value of IT-Enabled Resources: Antecedents and Consequences of Synergistic Relationships , 2010, MIS Q..
[46] Kenneth L. Kraemer,et al. Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value , 2004, MIS Q..
[47] D. Teece. Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance , 2007 .
[48] Murtaza Haider,et al. Beyond the hype: Big data concepts, methods, and analytics , 2015, Int. J. Inf. Manag..
[49] Sandra Lowe,et al. Redesigning Social Inquiry Fuzzy Sets And Beyond , 2016 .
[50] Morgan Swink,et al. An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective , 2018 .
[51] Vassilis Kostakos,et al. Applying configurational analysis to IS behavioural research: a methodological alternative for modelling combinatorial complexities , 2017, Inf. Syst. J..
[52] Richard P. Bagozzi,et al. Assessing Construct Validity in Organizational Research , 1991 .
[53] Paul A. Pavlou,et al. Research Commentary - Seeking the Configurations of Digital Ecodynamics: It Takes Three to Tango , 2010, Inf. Syst. Res..
[54] Daniel Linstedt,et al. Master Data Management , 2015 .
[55] Jeanne G. Harris,et al. Competing on Analytics: The New Science of Winning , 2007 .
[56] D. Teece,et al. DYNAMIC CAPABILITIES AND STRATEGIC MANAGEMENT , 1997 .
[57] Gary L. Frankwick,et al. Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective , 2016 .
[58] Philip F. Musa,et al. Assessment of Ethiopian Health Facilities Readiness for Implementation of Telemedicine , 2014, Commun. Assoc. Inf. Syst..
[59] Viju Raghupathi,et al. Big data analytics in healthcare: promise and potential , 2014, Health Information Science and Systems.
[60] Indranil R. Bardhan,et al. Health information technology and its impact on the quality and cost of healthcare delivery , 2013, Decis. Support Syst..
[61] Coleen Wilder,et al. Business Analytics Curriculum for Undergraduate Majors , 2015, INFORMS Trans. Educ..
[62] Terry S. Overton,et al. Estimating Nonresponse Bias in Mail Surveys , 1977 .
[63] Casey G. Cegielski,et al. Knowledge, Skills, and Abilities for Entry‐Level Business Analytics Positions: A Multi‐Method Study , 2016 .
[64] Paul A. Pavlou,et al. From IT Leveraging Competence to Competitive Advantage in Turbulent Environments: The Case of New Product Development , 2006, Inf. Syst. Res..
[65] C. Fornell,et al. Evaluating structural equation models with unobservable variables and measurement error. , 1981 .
[66] Ronald Batenburg,et al. Towards healthcare business intelligence in long-term care: An explorative case study in the Netherlands , 2014, Comput. Hum. Behav..
[67] Robert G. Fichman,et al. Going Beyond the Dominant Paradigm for Information Technology Innovation Research: Emerging Concepts and Methods , 2004, J. Assoc. Inf. Syst..
[68] Patrick Mikalef,et al. Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA , 2017 .
[69] K. Marsolo,et al. Applications of Business Analytics in Healthcare. , 2014, Business horizons.
[70] Marjorie A. Lyles,et al. Dynamic Capabilities: Current Debates and Future Directions , 2009 .
[71] Kathleen M. Eisenhardt,et al. DYNAMIC CAPABILITIES, WHAT ARE THEY? , 2000 .
[72] Shilo Anders,et al. Mediating the intersections of organizational routines during the introduction of a health IT system , 2012, Eur. J. Inf. Syst..
[73] Michele Samorani,et al. Outpatient Appointment Scheduling Given Individual Day-Dependent No-Show Predictions , 2013, Eur. J. Oper. Res..
[74] Judy E. Scott,et al. Antecedents and Catalysts for Developing a Healthcare Analytic Capability , 2011, Commun. Assoc. Inf. Syst..
[75] Peer C. Fiss. A set-theoretic approach to organizational configurations , 2007 .
[76] Carol V. Brown,et al. Designing data governance , 2010, CACM.
[77] Peer C. Fiss. Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research , 2011 .
[78] Ing-Long Wu,et al. Examining Knowledge Management Enabled Performance for Hospital Professionals: A Dynamic Capability View and the Mediating Role of Process Capability , 2012, J. Assoc. Inf. Syst..
[79] Joachim Roski,et al. Creating value in health care through big data: opportunities and policy implications. , 2014, Health affairs.
[80] Hüseyin Tanriverdi,et al. Performance Effects of Information Technology Synergies in Multibusiness Firms , 2006, MIS Q..
[81] Guangming Cao,et al. Linking Business Analytics to Decision Making Effectiveness: A Path Model Analysis , 2015, IEEE Transactions on Engineering Management.
[82] Jay R. Galbraith. Organization Design: An Information Processing View , 1974 .
[83] Paul A. Pavlou,et al. The 'Third Hand': IT-Enabled Competitive Advantage in Turbulence Through Improvisational Capabilities , 2009, Inf. Syst. Res..
[84] Babita Gupta,et al. The Current State of Business Intelligence in Academia: The Arrival of Big Data , 2014, CAIS.
[85] Ritu Agarwal,et al. The Digital Transformation of Healthcare: Current Status and the Road Ahead , 2010 .
[86] 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..
[87] R. Grant. Toward a Knowledge-Based Theory of the Firm,” Strategic Management Journal (17), pp. , 1996 .
[88] T. Davenport. Competing on analytics. , 2006, Harvard business review.
[89] Ritu Agarwal,et al. Evolving Work Routines: Adaptive Routinization of Information Technology in Healthcare , 2011, Inf. Syst. Res..
[90] Hugh J. Watson,et al. Tutorial: Big Data Analytics: Concepts, Technologies, and Applications , 2014, Commun. Assoc. Inf. Syst..
[91] J. Walkup. Fuzzy-set social science , 2003 .
[92] Varun Grover,et al. Business Value of IT: An Essay on Expanding Research Directions to Keep up with the Times , 2008, J. Assoc. Inf. Syst..
[93] Cees T. A. M. de Laat,et al. Addressing big data issues in Scientific Data Infrastructure , 2013, 2013 International Conference on Collaboration Technologies and Systems (CTS).
[94] T. Davenport,et al. Data scientist: the sexiest job of the 21st century. , 2012, Harvard business review.
[95] Paulo B. Góes,et al. Business Intelligence and Analytics Education, and Program Development: A Unique Opportunity for the Information Systems Discipline , 2012, TMIS.