Big data analytics and firm performance: Findings from a mixed-method approach
暂无分享,去创建一个
Patrick Mikalef | John Krogstie | George Lekakos | Maria Boura | J. Krogstie | Patrick Mikalef | G. Lekakos | Maria Boura
[1] Jerry M. Mendel,et al. Charles Ragin's Fuzzy Set Qualitative Comparative Analysis (fsQCA) used for linguistic summarizations , 2012, Inf. Sci..
[2] L. Stern,et al. Conducting Interorganizational Research Using Key Informants , 1993 .
[3] Detmar W. Straub,et al. Specifying Formative Constructs in Information Systems Research , 2007, MIS Q..
[4] Patrick Mikalef,et al. Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA , 2017 .
[5] Ioanna D. Constantiou,et al. New games, new rules: big data and the changing context of strategy , 2015, J. Inf. Technol..
[6] Andrew M. Farrell,et al. Insufficient Discriminant Validity: A Comment on Bove, Pervan, Beatty and Shiu (2009) , 2008 .
[7] Robert K. Yin,et al. Case Study Research and Applications: Design and Methods , 2017 .
[8] A. Woodside. Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory , 2013 .
[9] Peer C. Fiss. A set-theoretic approach to organizational configurations , 2007 .
[10] Ephraim R. McLean,et al. Information Systems Success: The Quest for the Independent Variables , 2013, J. Manag. Inf. Syst..
[11] J. Edwards. Multidimensional Constructs in Organizational Behavior Research: An Integrative Analytical Framework , 2001 .
[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] Detmar W. Straub,et al. Validation in Information Systems Research: A State-of-the-Art Assessment , 2001, MIS Q..
[14] Leroy White,et al. A Cook's tour: Towards a framework for measuring the social impact of social purpose organisations , 2017, Eur. J. Oper. Res..
[15] Detmar W. Straub,et al. Validation Guidelines for IS Positivist Research , 2004, Commun. Assoc. Inf. Syst..
[16] Adam M. Grant,et al. In the company of givers and takers. , 2013, Harvard business review.
[17] S. Fawcett,et al. Data Science, Predictive Analytics, and Big Data: A Revolution that Will Transform Supply Chain Design and Management , 2013 .
[18] 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.
[19] Gérard P. Cachon,et al. Perspective: Complexity Theory and Organization Science , 1999, Organization Science.
[20] J. Manyika. Big data: The next frontier for innovation, competition, and productivity , 2011 .
[21] Paul P. Tallon,et al. The Information Artifact in IT Governance: Toward a Theory of Information Governance , 2013, J. Manag. Inf. Syst..
[22] Zhongsheng Hua,et al. The Impact of IT Capabilities on Firm Performance: The Mediating Roles of Absorptive Capacity and Supply Chain Agility , 2013, Decis. Support Syst..
[23] Charles C. Ragin,et al. Qualitative Comparative Analysis Using Fuzzy Sets (fsQCA) , 2008 .
[24] Ralf Wilden,et al. The Architecture of Dynamic Capability Research Identifying the Building Blocks of a Configurational Approach , 2016 .
[25] A. Gunasekaran,et al. Big data analytics in logistics and supply chain management: Certain investigations for research and applications , 2016 .
[26] Veda C. Storey,et al. Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..
[27] Peer C. Fiss. Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research , 2011 .
[28] 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 .
[29] Joey F. George,et al. Toward the development of a big data analytics capability , 2016, Inf. Manag..
[30] Rana Tassabehji,et al. The impact of big data analytics on firms’ high value business performance , 2016, Information Systems Frontiers.
[31] Arch G. Woodside,et al. Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations , 2014 .
[32] Richard Vidgen,et al. Developing a business analytics methodology: A case study in the foodbank sector , 2017, Eur. J. Oper. Res..
[33] Ping Zhang,et al. The Effects of Animation on Information Seeking Performance on the World Wide Web: Securing Attention or Interfering with Primary Tasks? , 2000, J. Assoc. Inf. Syst..
[34] M. Sarstedt,et al. A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .
[35] Carsten Q. Schneider,et al. Standards of Good Practice in Qualitative Comparative Analysis (QCA) and Fuzzy-Sets , 2010 .
[36] A. Parasuraman,et al. When the Recipe Is More Important Than the Ingredients , 2014 .
[37] P CachonGérard,et al. Complexity Theory and Organization Science , 1999 .
[38] Sam Ransbotham,et al. Beyond the hype: The hard work behind analytics success , 2016 .
[39] Omar El Sawy,et al. The Role of Business Intelligence and Communication Technologies in Organizational Agility: A Configurational Approach , 2017, Journal of the Association for Information Systems.
[40] Jan Recker,et al. Ten principles of good business process management , 2014, Bus. Process. Manag. J..
[41] Michael D. Myers,et al. The qualitative interview in IS research: Examining the craft , 2007, Inf. Organ..
[42] Marko Sarstedt,et al. PLS-SEM: Indeed a Silver Bullet , 2011 .
[43] Richard Vidgen,et al. Management challenges in creating value from business analytics , 2017, Eur. J. Oper. Res..
[44] Viju Raghupathi,et al. Big data analytics in healthcare: promise and potential , 2014, Health Information Science and Systems.
[45] Paul A. Pavlou,et al. Research Commentary - Seeking the Configurations of Digital Ecodynamics: It Takes Three to Tango , 2010, Inf. Syst. Res..
[46] Erik Brynjolfsson,et al. Big data: the management revolution. , 2012, Harvard business review.
[47] C. L. Philip Chen,et al. Data-intensive applications, challenges, techniques and technologies: A survey on Big Data , 2014, Inf. Sci..
[48] Scott B. MacKenzie,et al. Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques , 2011, MIS Q..
[49] D. Ribeiro-Soriano,et al. Firm survival: The role of incubators and business characteristics , 2015 .
[50] Laura Cabrera,et al. Applying systems thinking models of organizational design and change in community operational research , 2017, Eur. J. Oper. Res..
[51] Carmen Llinares,et al. Exploring the relationship between co-creation and satisfaction using QCA , 2016 .
[52] Arch G. Woodside,et al. Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities , 2014 .
[53] Michail N. Giannakos,et al. Big data analytics capabilities: a systematic literature review and research agenda , 2017, Information Systems and e-Business Management.
[54] Albert L. Lederer,et al. The effectiveness of strategic information systems planning under environmental uncertainty , 2006, Inf. Manag..
[55] Arun Rai,et al. Leveraging IT Capabilities and Competitive Process Capabilities for the Management of Interorganizational Relationship Portfolios , 2010, Inf. Syst. Res..
[56] Shahriar Akter,et al. Big data analytics and firm performance: Effects of dynamic capabilities , 2017 .
[57] Antonio J. Verdú,et al. The moderating effect of environmental uncertainty on the relationship between real options and technological innovation in high-tech firms , 2012 .
[58] Marleen Huysman,et al. Debating big data: A literature review on realizing value from big data , 2017, J. Strateg. Inf. Syst..
[59] Moshe Zviran,et al. A contingency model for estimating success of strategic information systems planning , 2010, Inf. Manag..
[60] Paul P. Tallon. Corporate Governance of Big Data: Perspectives on Value, Risk, and Cost , 2013, Computer.
[61] Michail N. Giannakos,et al. Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies , 2018, Inf. Syst. E Bus. Manag..
[62] Roger H. L. Chiang,et al. Big Data Research in Information Systems: Toward an Inclusive Research Agenda , 2016, J. Assoc. Inf. Syst..
[63] Arch G. Woodside,et al. Proposing a new logic for data analysis in marketing and consumer behavior: case study research of large-N survey data for estimating algorithms that accurately profile X (extremely high-use) consumers , 2012 .
[64] Patrick Mikalef,et al. Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment , 2019, British Journal of Management.
[65] Viswanath Venkatesh,et al. Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems , 2013, MIS Q..