Öz

Son zamanlarda büyük veri ve bilgi yönetimi arasındaki yakın ilişki, işletmelerin önemli gündemlerinden biri haline gelmiştir. Bu makalenin amacı, büyük veri ve bilgi yönetimi alanyazınını bibliyometrik bir bakış açısıyla inceleyerek alanın dünü, bugünü ve geleceği için genel bir çerçeve oluşturmaktır. Çalışmada 2013-2020 yılları arasında Clarivate Analytics Web of Science (WoS) Core Collection veri tabanından elde edilen 622 makale incelenmiştir. Analiz sonuçları, ilgili alanın yıllık büyüme oranının %42,9 olduğunu göstermekte ve bu da alanın araştırmacılar arasında yüksek bir popülerliğe sahip olduğuna işaret etmektedir. Çin ve ABD, bu alandaki en üretken yazarlara ve kurumlara ev sahipliği yapmaktadır. Ayrıca, alanın entelektüel yapısını ortaya koymak için ülke işbirliği ağı, kurumsal ortak yazarlık ağı, ortak kelime ağı ve ortak alıntı ağı verilmiştir. Bu çalışmanın, en etkili yazarlar, kurumlar ve ülkeler, en üretken dergiler, en sık kullanılan anahtar kelimeler, işbirliği ağları ve ortak atıf ağları açısından alandaki önde gelen eğilimleri anlamak için araştırmacılara yol gösterici olacağı düşünülmektedir. Araştırmacıların bilgisi dâhilinde, bu çalışma zaman içinde büyük veri ve bilgi yönetiminin kesişimini ve ilişkisini anlamaya yönelik yapılan ilk bibliyometrik inceleme girişimidir.

Anahtar Kelimeler: Bilgi yönetimi, bibliyometrik analiz, büyük veri, bilimsel haritalama, büyük veri yönetimi

Referanslar

  1. Ackoff, R. L. (1989). From data to wisdom. Journal of Applied Systems Analysis, 16(1), 3–9.
  2. Alavi, M., Kayworth, T. R., & Leidner, D. E. (2005). An empirical examination of the influence of organizational culture on knowledge management practices. Journal of Management Information Systems, 22(3), 191–224. https://doi.org/10.2753/MIS0742-1222220307
  3. Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Quarterly, 25(1), 107–136. https://doi.org/10.2307/3250961
  4. Batra, S. (2014). Big data analytics and its reflections on DIKW hierarchy. Review of Management, 4(1/2), 5–17.
  5. Beyer, M., & Laney, D. (2012). The importance of “Big Data”: A definition. In Gartner IT Glossary.
  6. Bhatt, G. D. (2001). Knowledge management in organizations: Examining the interaction between technologies, techniques, and people. Journal of Knowledge Management, 5(1), 68–75. https://doi.org/10.1108/13673270110384419
  7. Bontis, N. (2001). Assessing knowledge assets: A review of the models used to measure intellectual capital. International Journal of Management Reviews, 3(1), 41–60. https://doi.org/10.1111/1468-2370.00053
  8. Carvalho, M. M., Fleury, A., & Lopes, A. P. (2013). An overview of the literature on technology roadmapping (TRM): Contributions and trends. Technological Forecasting and Social Change, 80(7), 1418–1437. https://doi.org/10.1016/j.techfore.2012.11.008
  9. Chierici, R., Mazzucchelli, A., Garcia-Perez, A., & Vrontis, D. (2018). Transforming big data into knowledge: The role of knowledge management practice. Management Decision, 57(8), 1902–1922. https://doi.org/10.1108/MD-07-2018-0834
  10. Choi, S. Y., Lee, H., & Yoo, Y. (2010). The impact of information technology and transactive memory systems on knowledge sharing, application, and team performance: A field study. MIS Quarterly, 34(4), 855–870. https://doi.org/10.2307/25750708
  11. Crane, L., & Bontis, N. (2014). Trouble with tacit: Developing a new perspective and approach. Journal of Knowledge Management, 18(6), 1127–1140. https://doi.org/10.1108/JKM-02-2014-0061
  12. Davenport, T. H., Barth, P., & Bean, R. (2012). How big data is different. MIT Sloan Management Review, 54(1), 43–46.
  13. Davenport, T. H., & Patil, D. J. (2012). Data scientist: The sexiest job of the 21st century. Harvard Business Review, 90(10), 70–76, 128.
  14. De Bakker, F. G. A., Groenewegen, P., & Den Hond, F. (2005). Bibliometric analysis of 30 years of research and theory on corporate social responsibility and corporate social performance. Business & Society, 44(3), 283–317. https://doi.org/10.1177/0007650305278086
  15. Dijks, J.-P. (2011). Big data for the enterprise: Oracle white paper. Oracle Corporation. https://www.oracle.com/technetwork/database/bi-datawarehousing/wp-big-data-with-oracle-521209.pdf
  16. Drucker, P. F. (1995). The information executives truly need. Harvard Business Review, 73(1). https://elibrary.ru/item.asp?id=2312365
  17. du Plessis, M. (2007). The role of knowledge management in innovation. Journal of Knowledge Management, 11(4), 20–29. https://doi.org/10.1108/13673270710762684
  18. Dumbill, E. (2013). Making Sense of Big Data. Big Data, 1(1), 1–2. https://doi.org/10.1089/big.2012.1503
  19. Ferraris, A., Mazzoleni, A., Devalle, A., & Couturier, J. (2018). Big data analytics capabilities and knowledge management: Impact on firm performance. Management Decision, 57(8), 1923–1936. https://doi.org/10.1108/MD-07-2018-0825
  20. Firestone, J. M. (2001). Key issues in knowledge management. Knowledge and Innovation, 1(3), 8–17.
  21. Firestone, J. M., & McElroy, M. W. (2003). Key issues in the new knowledge management. Routledge.
  22. Fisher, D., DeLine, R., Czerwinski, M., & Drucker, S. (2012). Interactions with big data analytics. Interactions, 19(3), 50–59. https://doi.org/10.1145/2168931.2168943
  23. Gahi, Y., Guennoun, M., & Mouftah, H. T. (2016). Big data analytics: Security and privacy challenges. 2016 IEEE Symposium on Computers and Communication (ISCC), 952–957. https://doi.org/10.1109/ISCC.2016.7543859
  24. Gasik, S. (2011). A model of project knowledge management. Project Management Journal, 42(3), 23–44. https://doi.org/10.1002/pmj.20239
  25. Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H. (2019). Knowledge management: A global examination based on bibliometric analysis. Technological Forecasting and Social Change, 140, 194–220. https://doi.org/10.1016/j.techfore.2018.07.006
  26. Gogia, S. (2012). The big deal about big data for customer engagement business: Leaders must lead big data initiatives to derive value. Forrester Research, Inc. http://www.iab.fi/media/tutkimusmatskut/130822_forrester_the_big_deal_about_big_data.pdf
  27. Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(S2), 109–122. https://doi.org/10.1002/smj.4250171110
  28. Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049–1064. https://doi.org/10.1016/j.im.2016.07.004
  29. Holsapple, C., & Joshi, K. (2002). Understanding knowledge management solutions: The evolution of frameworks in theory and practice. In S. Barnes (Ed.), Knowledge Management Systems, London: Thompson Learning (pp. 222–242). International Thomson Business Press.
  30. Kaur, N., & Sood, S. K. (2017). Efficient resource management system based on 4Vs of big data streams. Big Data Research, 9, 98–106. https://doi.org/10.1016/j.bdr.2017.02.002
  31. Khan, Z., & Vorley, T. (2017). Big data text analytics: An enabler of knowledge management. Journal of Knowledge Management, 21(1), 18–34. https://doi.org/10.1108/JKM-06-2015-0238
  32. Kogut, B., & Zander, U. (1992). Knowledge of the firm, combinative capabilities, and the replication of technology. Organization Science, 3(3), 383–397. https://doi.org/10.1287/orsc.3.3.383
  33. Koseoglu, M. A., Rahimi, R., Okumus, F., & Liu, J. (2016). Bibliometric studies in tourism. Annals of Tourism Research, 61, 180–198. https://doi.org/10.1016/j.annals.2016.10.006
  34. López-Herrera, A. G., Herrera-Viedma, E., Cobo, M. J., Martínez, M. A., Kou, G., & Shi, Y. (2012). A conceptual snapshot of the first decade (2002–2011) of the international journal of information technology & decision making. International Journal of Information Technology & Decision Making, 11(02), 247–270. https://doi.org/10.1142/S0219622012400020
  35. Martin, X., & Salomon, R. (2003). Tacitness, learning, and international expansion: a study of foreign direct investment in a knowledge-intensive industry. Organization Science, 14(3), 297–311. https://doi.org/10.1287/orsc.14.3.297.15165
  36. Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt.
  37. McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 60–66, 68, 128.
  38. McBurney, M. K., & Novak, P. L. (2002). What is bibliometrics and why should you care? Proceedings. IEEE International Professional Communication Conference, 108–114. https://doi.org/10.1109/IPCC.2002.1049094
  39. Mikalef, P., Framnes, V., Danielsen, F., Krogstie, J., & Olsen, D. (2017, July 1). Big data analytics capability: Antecedents and business value. PACIS 2017 Proceedings. Pacific Asia Conference on Information Systems (PACIS). https://aisel.aisnet.org/pacis2017/136
  40. Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14–37. https://doi.org/10.1287/orsc.5.1.14
  41. Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: how japanese companies create the dynamics of innovation. Oxford University Press.
  42. Pauleen, D. J., & Wang, W. Y. C. (2017). Does big data mean big knowledge? KM perspectives on big data and analytics. Journal of Knowledge Management, 21(1), 1–6. https://doi.org/10.1108/JKM-08-2016-0339
  43. Power, D. J. (2015). ‘Big Data’ decision making use cases. In B. Delibašić, J. E. Hernández, J. Papathanasiou, F. Dargam, P. Zaraté, R. Ribeiro, S. Liu, & I. Linden (Eds.), Decision support systems V – Big data analytics for decision making (pp. 1–9). Springer International Publishing. https://doi.org/10.1007/978-3-319-18533-0_1
  44. Rothberg, H. N., & Erickson, G. S. (2017). Big data systems: Knowledge transfer or intelligence insights? Journal of Knowledge Management, 21(1), 92–112. https://doi.org/10.1108/JKM-07-2015-0300
  45. Rowley, J. (2007). The wisdom hierarchy: Representations of the DIKW hierarchy. Journal of Information Science, 33(2), 163–180. https://doi.org/10.1177/0165551506070706
  46. Scarbrough, H., & Swan, J. (2001). Explaining the diffusion of knowledge management: The role of fashion. British Journal of Management, 12(1), 3–12. https://doi.org/10.1111/1467-8551.00182
  47. Seddon, J. J. J. M., & Currie, W. L. (2017). A model for unpacking big data analytics in high frequency trading. Journal of Business Research, 70, 300–307. https://doi.org/10.1016/j.jbusres.2016.08.003
  48. Serenko, A., Cox, R. A. K., Bontis, N., & Booker, L. D. (2011). The superstar phenomenon in the knowledge management and intellectual capital academic discipline. Journal of Informetrics, 5(3), 333–345. https://doi.org/10.1016/j.joi.2011.01.005
  49. Shiau, W.-L., Dwivedi, Y. K., & Yang, H. S. (2017). Co-citation and cluster analyses of extant literature on social networks. International Journal of Information Management, 37(5), 390–399. https://doi.org/10.1016/j.ijinfomgt.2017.04.007
  50. Stewart, T. A. (2010). Intellectual Capital: The new wealth of organization. Crown.
  51. Sumbal, M. S., Tsui, E., & See-to, E. W. K. (2017). Interrelationship between big data and knowledge management: An exploratory study in the oil and gas sector. Journal of Knowledge Management, 21(1), 180–196. https://doi.org/10.1108/JKM-07-2016-0262
  52. Thomas, A., & Chopra, M. (2020). On how big data revolutionizes knowledge management. In B. George, & J. Paul (Eds.), Digital transformation in business and society: Theory and cases (pp. 39–60). Springer International Publishing. https://doi.org/10.1007/978-3-030-08277-2_3
  53. Tian, X. (2017). Big data and knowledge management: A case of déjà vu or back to the future? Journal of Knowledge Management, 21(1), 113–131. https://doi.org/10.1108/JKM-07-2015-0277
  54. Tiwana, A. (1999). Knowledge management toolkit, the: Practical techniques for building a knowledge management system. Prentice Hall.
  55. Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009
  56. Wang, C.-C., Sung, H.-Y., Chen, D.-Z., & Huang, M.-H. (2017). Strong ties and weak ties of the knowledge spillover network in the semiconductor industry. Technological Forecasting and Social Change, 118, 114–127. https://doi.org/10.1016/j.techfore.2017.02.011
  57. Wang, S., & Wang, H. (2020). Big data for small and medium-sized enterprises (SME): A knowledge management model. Journal of Knowledge Management, 24(4), 881–897. https://doi.org/10.1108/JKM-02-2020-0081
  58. Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171–180. https://doi.org/10.1002/smj.4250050207
  59. White, M. (2012). Digital workplaces: Vision and reality. Business Information Review, 29(4), 205–214. https://doi.org/10.1177/0266382112470412
  60. Wiig, K. (2004). People-focused knowledge management. Routledge. https://doi.org/10.4324/9780080479910
  61. Wu, X. (2020). Technology, power, and uncontrolled great power strategic competition between China and the United States. China International Strategy Review, 2(1), 99–119. https://doi.org/10.1007/s42533-020-00040-0
  62. Xu, X., Chen, X., Jia, F., Brown, S., Gong, Y., & Xu, Y. (2018). Supply chain finance: A systematic literature review and bibliometric analysis. International Journal of Production Economics, 204, 160–173. https://doi.org/10.1016/j.ijpe.2018.08.003
  63. Zhan, M., & Widén, G. (2019). Understanding big data in librarianship. Journal of Librarianship and Information Science, 51(2), 561–576. https://doi.org/10.1177/0961000617742451
  64. Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629

Lisans

Telif Hakkı (c) 2022 Yazar(lar). Açık erişimli bu makale, orijinal çalışmaya uygun şekilde atıfta bulunulması koşuluyla, herhangi bir ortamda veya formatta sınırsız kullanım, dağıtım ve çoğaltmaya izin veren Creative Commons Attribution License (CC BY) altında dağıtılmıştır.

Nasıl Atıf Yapılır

Karaboğa, T., Şehitoğlu, Y., & Karaboğa, H. A. (2022). Bilgi Yönetiminde Büyük Verinin Evrimi: Bibliyometrik Bir Analiz. Bilgi Dünyası, 23(1), 49-79. https://doi.org/10.15612/BD.2022.645