Big Data Analytics and Firm Performance: A Systematic Review

The literature on big data analytics and firm performance is still fragmented and lacking in attempts to integrate the current studies’ results. This study aims to provide a systematic review of contributions related to big data analytics and firm performance. The authors assess papers listed in the Web of Science index. This study identifies the factors that may influence the adoption of big data analytics in various parts of an organization and categorizes the diverse types of performance that big data analytics can address. Directions for future research are developed from the results. This systematic review proposes to create avenues for both conceptual and empirical research streams by emphasizing the importance of big data analytics in improving firm performance. In addition, this review offers both scholars and practitioners an increased understanding of the link between big data analytics and firm performance.

[1]  Deepa Mishra,et al.  Big data integration with business processes: a literature review , 2017, Bus. Process. Manag. J..

[2]  Claudio Vitari,et al.  Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects , 2018, Int. J. Prod. Res..

[3]  Ying Liu Big Data and Predictive Business Analytics , 2014 .

[4]  Veena Bansal,et al.  Identifying a Medical Department based on Unstructured Data - A Big Data Application in Healthcare , 2018, ICEIS.

[5]  Stephanie F. Hughes,et al.  A new model for identifying emerging technologies , 2017 .

[6]  Joey F. George,et al.  Toward the development of a big data analytics capability , 2016, Inf. Manag..

[7]  Denis Dennehy,et al.  'Big time': An examination of temporal complexity and business value in analytics , 2020, Inf. Manag..

[8]  Esteban Fernández,et al.  Firm and Industry Effects on Small, Medium-Sized and Large Firms’ Performance , 2019, BRQ Business Research Quarterly.

[9]  Cristiano Ciappei,et al.  Organizational Resilience and Big Data Analytics: Could Analytical, Automatic, Adaptive and Agile Information Systems Open the Cage? , 2018 .

[10]  Jongwoo Kim,et al.  Achieving Dynamic Capabilities with Business Intelligence , 2014, PACIS.

[11]  Hui Wang,et al.  Information processing structures and decision making delays in MRP and JIT , 2017 .

[12]  Shahriar Akter,et al.  How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study , 2015 .

[13]  Sai Hong Tang,et al.  Strategies for Successful Information Technology Adoption in Small and Medium-sized Enterprises , 2012, Inf..

[14]  Jack Hagel Bringing Analytics to Life , 2015 .

[15]  Dominic Barton,et al.  Making advanced analytics work for you. , 2012, Harvard business review.

[16]  G. Gravili,et al.  The influence of the Digital Divide on Big data generation within supply chain management , 2018 .

[17]  Muhammad Shiraz,et al.  Big Data: Survey, Technologies, Opportunities, and Challenges , 2014, TheScientificWorldJournal.

[18]  Jochen Wulf,et al.  Actualizing big data analytics affordances: A revelatory case study , 2020, Inf. Manag..

[19]  Patrick Mikalef,et al.  Complementarities between Information Governance and Big Data Analytics Capabilities on Innovation , 2018, ECIS.

[20]  Erik Brynjolfsson,et al.  Big data: the management revolution. , 2012, Harvard business review.

[21]  Jan vom Brocke,et al.  The Effect of Big Data and Analytics on Firm Performance: An Econometric Analysis Considering Industry Characteristics , 2018, J. Manag. Inf. Syst..

[22]  Michail N. Giannakos,et al.  Big data analytics capabilities: a systematic literature review and research agenda , 2017, Information Systems and e-Business Management.

[23]  Shahriar Akter,et al.  How to improve firm performance using big data analytics capability and business strategy alignment , 2016 .

[24]  Morgan Swink,et al.  How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management , 2015, J. Manag. Inf. Syst..

[25]  Mingmei Zhang,et al.  Data Consistency Theory and Case Study for Scientific Big Data , 2019, Inf..

[26]  Bongsik Shin,et al.  Data quality management, data usage experience and acquisition intention of big data analytics , 2014, Int. J. Inf. Manag..

[27]  Celina Olszak,et al.  Towards an understanding business intelligence. a dynamic capability-based framework for Business Intelligence , 2014, 2014 Federated Conference on Computer Science and Information Systems.

[28]  A. Petruzzelli,et al.  A bibliometric analysis of research on Big Data analytics for business and management , 2019, Management Decision.

[29]  Maryam Ghasemaghaei,et al.  Are firms ready to use big data analytics to create value? The role of structural and psychological readiness , 2019, Enterp. Inf. Syst..

[30]  Md Saiful Islam,et al.  A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining , 2018, Healthcare.

[31]  Uma Srinivasan,et al.  Leveraging Big Data Analytics to Reduce Healthcare Costs , 2013, IT Professional.

[32]  Kristine Brands,et al.  Big data and business intelligence for management accountants , 2014 .

[33]  Maurizio Vincini,et al.  Foreword to the Special Issue: "Semantics for Big Data Integration" , 2019, Inf..

[34]  T. Oliveira,et al.  Assessing business value of Big Data Analytics in European firms , 2017 .

[35]  Terry Anthony Byrd,et al.  Business analytics-enabled decision-making effectiveness through knowledge absorptive capacity in health care , 2017, J. Knowl. Manag..

[36]  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.

[37]  Ofir Turel,et al.  Increasing firm agility through the use of data analytics: The role of fit , 2017, Decis. Support Syst..

[38]  T. Davenport,et al.  How ‘ Big Data ’ is Different FALL 2012 , 2012 .

[39]  Sushma Jain,et al.  A survey towards an integration of big data analytics to big insights for value-creation , 2018, Inf. Process. Manag..

[40]  Sunil Mithas,et al.  Business Analytics: Radical Shift or Incremental Change? , 2012, Commun. Assoc. Inf. Syst..

[41]  Shahriar Akter,et al.  Big data analytics and firm performance: Effects of dynamic capabilities , 2017 .

[42]  Cristiano Ciappei,et al.  Ambidextrous organization and agility in big data era: The role of business process management systems , 2018, Bus. Process. Manag. J..

[43]  Patrick Mikalef,et al.  Big data analytics and firm performance: Findings from a mixed-method approach , 2019, Journal of Business Research.

[44]  J. Manyika Big data: The next frontier for innovation, competition, and productivity , 2011 .

[45]  Stefano Marrone,et al.  HOLMeS: eHealth in the Big Data and Deep Learning Era , 2019, Information.

[46]  Yichuan Wang,et al.  An integrated big data analytics-enabled transformation model: Application to health care , 2018, Inf. Manag..

[47]  Ioanna D. Constantiou,et al.  New games, new rules: big data and the changing context of strategy , 2015, J. Inf. Technol..

[48]  Jerome Couturier,et al.  Big data analytics capabilities and knowledge management: impact on firm performance , 2019, Management Decision.

[49]  Ulf-Dietrich Reips,et al.  "Big Data" : big gaps of knowledge in the field of internet science , 2012 .

[50]  Veena Bansal,et al.  Identifying a Medical Department Based on Unstructured Data: A Big Data Application in Healthcare , 2019, Inf..

[51]  Shahriar Akter,et al.  The Primer of Social Media Analytics , 2016, J. Organ. End User Comput..

[52]  Riccardo Rialti,et al.  Niche tourism destinations’ online reputation management and competitiveness in big data era: evidence from three Italian cases , 2019, Current Issues in Tourism.

[53]  Michela Arnaboldi,et al.  The Missing Variable in Big Data for Social Sciences: The Decision-Maker , 2018, Sustainability.

[54]  Ricardo Colomo Palacios,et al.  Business Process Analytics Using a Big Data Approach , 2013, IT Professional.

[55]  Rana Tassabehji,et al.  The impact of big data analytics on firms’ high value business performance , 2016, Information Systems Frontiers.

[56]  Francesco Ciampi,et al.  Big data for business management in the retail industry , 2019, Management Decision.

[57]  Veda C. Storey,et al.  Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..

[58]  Giacomo Marzi,et al.  Big data and dynamic capabilities: a bibliometric analysis and systematic literature review , 2019, Management Decision.

[59]  Y. Lai,et al.  Understanding the determinants of big data analytics (BDA) adoption in logistics and supply chain management: An empirical investigation , 2018 .

[60]  Erik Brynjolfsson,et al.  Race against the machine : how the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy , 2011 .

[61]  Yichuan Wang,et al.  Exploring the path to big data analytics success in healthcare , 2017 .

[62]  E. Harrison,et al.  Systematic review of the use of big data to improve surgery in low‐ and middle‐income countries , 2019, The British journal of surgery.

[63]  Bala Subrahmanya Mungila Hillemane,et al.  Importance of Technological Innovation for SME Growth , 2010 .

[64]  Si’en Chen,et al.  Analytics: The real-world use of big data in financial services studying with judge system events , 2016, Journal of Shanghai Jiaotong University (Science).

[65]  Julían Andrés,et al.  La gestión del conocimiento y su influencia en las capacidades dinámicas: Contrastación empírica en Empresas Colombianas Intensivas en uso de conocimiento , 2020 .

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

[67]  Santanu Mandal,et al.  An Examination of the Importance of Big Data Analytics in Supply Chain Agility Development: A Dynamic Capability Perspective , 2018 .

[68]  Ahad Zare Ravasan,et al.  How market orientation contributes to innovation and market performance: the roles of business analytics and flexible IT infrastructure , 2018, Journal of Business & Industrial Marketing.

[69]  Kim Hua Tan,et al.  Unlocking the power of big data in new product development , 2016, Annals of Operations Research.

[70]  Shahriar Akter,et al.  Modelling quality dynamics, business value and firm performance in a big data analytics environment , 2017, Int. J. Prod. Res..

[71]  Ralf Wagner,et al.  Entrepreneurial ecosystems: a systematic review , 2018, Journal of Enterprising Communities: People and Places in the Global Economy.

[72]  Richard Vidgen,et al.  Management challenges in creating value from business analytics , 2017, Eur. J. Oper. Res..