Have a personal or library account? Click to login
From Big Data to Big Performance – Exploring the Potential of Big Data for Enhancing Public Organizations’ Performance. A Systematic Literature Review Cover

From Big Data to Big Performance – Exploring the Potential of Big Data for Enhancing Public Organizations’ Performance. A Systematic Literature Review

Open Access
|Mar 2020

References

  1. 1Acharya, A., Singh, S. K., Pereira, V., & Singh, P. (2018). Big data, knowledge co-creation and decision making in fashion industry. International Journal of Information Management, 42, 90101. DOI: 10.1016/j.ijinfomgt.2018.06.008
  2. 2Agarwal, P. K. (2018). Public Administration Challenges in the World of AI and Bots. Public Administration Review, 78(6), 917921. DOI: 10.1111/puar.12979
  3. 3Akhtar, P., Frynas, J. G., Mellahi, K., & Ullah, S. (2019). Big Data-Savvy Teams’ Skills, Big Data-Driven Actions and Business Performance. British Journal of Management, 30(2), 252271. DOI: 10.1111/1467-8551.12333
  4. 4Amankwah-Amoah, J., & Adomako, S. (2019). Big data analytics and business failures in data-Rich environments: An organizing framework. Computers in Industry, 105, 204212. DOI: 10.1016/j.compind.2018.12.015
  5. 5Arnaboldi, M., Lapsley, I., & Steccolini, I. (2015). Performance Management in the Public Sector: The Ultimate Challenge. Financial Accountability & Management, 31(1), 122. DOI: 10.1111/faam.12049
  6. 6Bøe-Lillegraven, T. (2014). Untangling the Ambidexterity Dilemma through Big Data Analytics. Journal of Organization Design, 3(3). DOI: 10.7146/jod.18173
  7. 7Braganza, A., Brooks, L., Nepelski, D., Ali, M., & Moro, R. (2017). Resource management in big data initiatives: Processes and dynamic capabilities. Journal of Business Research, 70, 328337. DOI: 10.1016/j.jbusres.2016.08.006
  8. 8Campos, J., Sharma, P., Jantunen, E., Baglee, D., & Fumagalli, L. (2017). Business Performance Measurements in Asset Management with the Support of Big Data Technologies. Management Systems in Production Engineering, 25(3), 143149. DOI: 10.1515/mspe-2017-0021
  9. 9Cao, G., & Duan, Y. (2017). How do top- and bottom-performing companies differ in using business analytics? Journal of Enterprise Information Management, 30(6), 874892. DOI: 10.1108/JEIM-04-2016-0080
  10. 10Cavanillas, J. (2015). New horizons for a data-driven economy: A roadmap for usage and exploitation of big data in Europe. New York, NY: Springer Berlin Heidelberg.
  11. 11Chen, Chiang, & Storey. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165. DOI: 10.2307/41703503
  12. 12Chen, D. Q., Preston, D. S., & Swink, M. (2015). How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management. Journal of Management Information Systems, 32(4), 439. DOI: 10.1080/07421222.2015.1138364
  13. 13Côrte-Real, N., Oliveira, T., & Ruivo, P. (2017). Assessing business value of Big Data Analytics in European firms. Journal of Business Research, 70, 379390. DOI: 10.1016/j.jbusres.2016.08.011
  14. 14de Camargo Fiorini, P., Pais Seles, B. M. R., Chiappetta Jabbour, C. J., Barbiero Mariano, E., & Lopes de Sousa Jabbour, A. B. (2018). Management theory and big data literature_ From a review to a research agenda|Elsevier Enhanced Reader. DOI: 10.1016/j.ijinfomgt.2018.07.005
  15. 15Desouza, K. C., & Jacob, B. (2017). Big Data in the Public Sector: Lessons for Practitioners and Scholars. Administration & Society, 49(7), 10431064. DOI: 10.1177/0095399714555751
  16. 16Dooren, W., van Bouckaert, G., & Halligan, J. (2015). Performance management in the public sector (Second edition). London; New York: Routledge. DOI: 10.4324/9781315817590
  17. 17Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019). Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource-Based View and Big Data Culture. British Journal of Management, 30(2), 341361. DOI: 10.1111/1467-8551.12355
  18. 18Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10–11), 11051121. DOI: 10.1002/1097-0266(200010/11)21:10/11<;1105::AID-SMJ133>3.0.CO;2-E
  19. 19Fisch, C., & Block, J. (2018). Six tips for your (systematic) literature review in business and management research. Management Review Quarterly, 68(2), 103106. DOI: 10.1007/s11301-018-0142-x
  20. 20Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015). How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234246. DOI: 10.1016/j.ijpe.2014.12.031
  21. 21Fryer, K., Antony, J., & Ogden, S. (2009). Performance management in the public sector. International Journal of Public Sector Management, 22(6), 478498. DOI: 10.1108/09513550910982850
  22. 22Gamage, P. (2016). New development: Leveraging ‘big data’ analytics in the public sector. Public Money & Management, 36(5), 385390. DOI: 10.1080/09540962.2016.1194087
  23. 23Ghasemaghaei, M. (2018). Improving Organizational Performance Through the Use of Big Data. Journal of Computer Information Systems, 114. DOI: 10.1080/08874417.2018.1496805
  24. 24Giest, S. (2017). Big data for policymaking: Fad or fasttrack? Policy Sciences, 50(3), 367382. DOI: 10.1007/s11077-017-9293-1
  25. 25Gnizy, I. (2019). Big data and its strategic path to value in international firms. International Marketing Review, 36(3), 318341. DOI: 10.1108/IMR-09-2018-0249
  26. 26Grable, J. E., & Lyons, A. C. (2018). An Introduction to Big Data. INVESTMENT MANAGEMENT, 5.
  27. 27Grover, P., & Kar, A. K. (2017). Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature. Global Journal of Flexible Systems Management, 18(3), 203229. DOI: 10.1007/s40171-017-0159-3
  28. 28Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308317. DOI: 10.1016/j.jbusres.2016.08.004
  29. 29Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 7280. DOI: 10.1016/j.ijpe.2014.04.018
  30. 30Heymann, M. (2018). How the service industry can corral big data into a business-building tool. Global Business and Organizational Excellence, 37(5), 3946. DOI: 10.1002/joe.21875
  31. 31Ingrams, A. (2018). Transparency for Results: Testing a Model of Performance Management in Open Government Initiatives. International Journal of Public Administration, 41(13), 10331046. DOI: 10.1080/01900692.2017.1318400
  32. 32Janssen, M., & Kuk, G. (2016). Big and Open Linked Data (BOLD) in research, policy, and practice. Journal of Organizational Computing and Electronic Commerce, 26(1–2), 313. DOI: 10.1080/10919392.2015.1124005
  33. 33Janssen, M., & van den Hoven, J. (2015). Big and Open Linked Data (BOLD) in government: A challenge to transparency and privacy? Government Information Quarterly, 32(4), 363368. DOI: 10.1016/j.giq.2015.11.007
  34. 34Janssen, M., van der Voort, H., & Wahyudi, A. (2017). Factors influencing big data decision-making quality. Journal of Business Research, 70, 338345. DOI: 10.1016/j.jbusres.2016.08.007
  35. 35Ji-fan Ren, S., Fosso Wamba, S., Akter, S., Dubey, R., & Childe, S. J. (2017). Modelling quality dynamics, business value and firm performance in a big data analytics environment. International Journal of Production Research, 55(17), 50115026. DOI: 10.1080/00207543.2016.1154209
  36. 36Kim, G.-H., Trimi, S., & Chung, J.-H. (2014). Big-data applications in the government sector. Communications of the ACM, 57(3), 7885. DOI: 10.1145/2500873
  37. 37Klievink, B., Romijn, B.-J., Cunningham, S., & de Bruijn, H. (2017). Big data in the public sector: Uncertainties and readiness. Information Systems Frontiers, 19(2), 267283. DOI: 10.1007/s10796-016-9686-2
  38. 38Kościelniak, H., & Puto, A. (2015). BIG DATA in Decision Making Processes of Enterprises. Procedia Computer Science, 65, 10521058. DOI: 10.1016/j.procs.2015.09.053
  39. 39Lavertu, S. (2016). We All Need Help: “Big Data” and the Mismeasure of Public Administration. Public Administration Review, 76(6), 864872. DOI: 10.1111/puar.12436
  40. 40McAfee, A., & Brynjolfsson, E. (2012). Big Data: The Management Revolution, 9.
  41. 41Merendino, A., Dibb, S., Meadows, M., Quinn, L., Wilson, D., Simkin, L., & Canhoto, A. (2018). Big data, big decisions: The impact of big data on board level decision-making. Journal of Business Research, 93, 6778. DOI: 10.1016/j.jbusres.2018.08.029
  42. 42Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics and firm performance: Findings from a mixed-method approach. Journal of Business Research, 98, 261276. DOI: 10.1016/j.jbusres.2019.01.044
  43. 43Raffoni, A., Visani, F., Bartolini, M., & Silvi, R. (2018). Business Performance Analytics: Exploring the potential for Performance Management Systems. Production Planning & Control, 29(1), 5167. DOI: 10.1080/09537287.2017.1381887
  44. 44Sena, V., Bhaumik, S., Sengupta, A., & Demirbag, M. (2019). Big Data and Performance: What Can Management Research Tell us? British Journal of Management, 30(2), 219228. DOI: 10.1111/1467-8551.12362
  45. 45Șerban, R.-A. (2017). The Impact of Big Data, Sustainability, and Digitalization on Company Performance. Studies in Business and Economics, 12(3), 181189. DOI: 10.1515/sbe-2017-0045
  46. 46Singh, S. K., & El-Kassar, A.-N. (2019). Role of big data analytics in developing sustainable capabilities. Journal of Cleaner Production, 213, 12641273. DOI: 10.1016/j.jclepro.2018.12.199
  47. 47Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data challenges and analytical methods. Journal of Business Research, 70, 263286. DOI: 10.1016/j.jbusres.2016.08.001
  48. 48Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509533. DOI: 10.1002/(SICI)1097-0266(199708)18:7<;509::AID-SMJ882>3.0.CO;2-Z
  49. 49Trieu, V.-H. (2017). Getting value from Business Intelligence systems: A review and research agenda. Decision Support Systems, 93, 111124. DOI: 10.1016/j.dss.2016.09.019
  50. 50van der Voort, H. G., Klievink, A. J., Arnaboldi, M., & Meijer, A. J. (2019). Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making? Government Information Quarterly, 36(1), 2738. DOI: 10.1016/j.giq.2018.10.011
  51. 51Vidgen, R., Shaw, S., & Grant, D. B. (2017). Management challenges in creating value from business analytics. European Journal of Operational Research, 261(2), 626639. DOI: 10.1016/j.ejor.2017.02.023
  52. 52Wang, Y., Kung, L., Gupta, S., & Ozdemir, S. (2019). Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations: A Configurational Perspective. British Journal of Management, 30(2), 362388. DOI: 10.1111/1467-8551.12332
  53. 53Webster, J., & Watson, R. T. (2002). Analyzing the Past to Prepare for the Future: Writing a Literature Review. MIS Quarterly, 26(2), xiiixxiii. Abgerufen von JSTOR.
  54. 54Wigan, M. R., & Clarke, R. (2013). Big Data’s Big Unintended Consequences. Computer, 46(6), 4653. DOI: 10.1109/MC.2013.195
  55. 55Zheng, Y., Wang, W., Liu, W., & Mingers, J. (2019). A performance management framework for the public sector: The balanced stakeholder model. Journal of the Operational Research Society, 70(4), 568580. DOI: 10.1080/01605682.2018.1448247
DOI: https://doi.org/10.5334/ssas.140 | Journal eISSN: 2632-9255
Language: English
Submitted on: Dec 4, 2019
Accepted on: Feb 11, 2020
Published on: Mar 2, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Katharina Guirguis, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.