Yönetim Bilişim Sistemlerinde Öne Çıkan Temaların Bibliyometrik Analizi

Öz

Bu çalışma, Yönetim Bilişim Sistemleri (YBS) ile ilgili akademik literatürdeki önemli temaları belirlemek ve bu konuların zaman içinde nasıl geliştiğini araştırmak için bibliyometrik bir analiz yapmaktadır. Analitik araçlar olarak Vosviewer ve R Studio kullanılmıştır. 6 Temmuz 2023 tarihinde “Yönetim Bilişim Sistemleri” terimi ile “konu” araması yapıldığında, bu bibliyometrik analizde 1970-2023 dönemi için 2585 öğe ortaya çıkmıştır. Bu analiz, ilgili bibliyometrik araştırma çalışmalarını bulmak için Web of Science veri tabanını kullanmaktadır. Çalışmanın Web of Science veri tabanındaki aramasına 1970 ile 2023 yılları arasında (Haziran ayına kadar) yapılan çalışmalar dahil edilmiştir. Bulgular, YBS disiplinindeki bazı önemli ana fikirleri ve alt temaları vurgulamaktadır. Ayrıca bu motiflerin zaman içinde nasıl geliştiği ve değiştiği de incelenmiştir. Bu çalışma, YBS araştırmalarındaki geniş eğilimleri değerlendirirken ve gelecekteki potansiyel zorlukları belirlerken bir başlangıç noktası sunmaktadır. Araştırmacılar ve uygulayıcılar bu bilgileri literatürdeki boşlukları bulmak ve kapatmak için kullanabilirler. Sonuç olarak, bu bibliyometrik araştırma sayesinde YBS literatüründeki önemli konular ve eğilimler daha iyi anlaşılmaktadır. Analizler ayrıca belirli temaların zaman içinde nasıl değiştiğini ve bu sorunların gelecekteki çalışmalar için nasıl bir temel oluşturabileceğini göstermektedir.

Anahtar Kelimeler

• Yönetim Bilişim Sistemleri
• Bibliyometrik Analiz
• Ortak Atıf Analizi
• Veri Görselleştirme
• Araştırma Trendleri

A Bibliometric Analysis of Prominent Themes in Management Information Systems

Öz

This study does a bibliometric analysis to identify important themes in the academic literature on Management Information Systems (MIS) and to investigate how these subjects have evolved over time. Vosviewer and R Studio were utilized as analytic tools. On July 6, 2023, a search for "topic" with the term "Management Information Systems" yielded 2585 items for the period 1970–2023 in this bibliometric analysis. This analysis uses the Web of Science database to find pertinent bibliometric research studies. Studies carried out between 1970 and 2023 (till June) were included in the study's search on the Web of Science database. The findings highlight some important main ideas and sub-themes in the MIS discipline. Also looked at was how these motifs evolved and altered throughout time. This study offers a place to start when assessing broad trends in MIS research and pinpointing potential future difficulties. Researchers and practitioners can use this information to find and close gaps in the literature. As a result, the important topics and trends in the MIS literature are better understood thanks to this bibliometric research. The analyses also demonstrate how specific themes have changed over time and how these problems may serve as a basis for future study.

Anahtar Kelimeler

• Management Information Systems
• Bibliometric Analysis
• Co-Citation Analysis
• Data Visualization
• Research Trends

Kaynakça

1. Abramo, G., Cicero, T. and D'Angelo, C. A. (2014). Are the authors of highly cited articles also the most productive ones? Journal of Informetrics, 8(1), 89-97.
2. Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
3. Aksnes, D. W. (2003). A macro study of self-citation. Scientometrics, 56(2), 235-246.
4. Alawamleh, H. A., ALShibly, M. H. A. A., Tommalieh, A. F. A., Al-Qaryouti, M. Q. H. and Ali, B. J. (2021). The challenges, barriers and advantages of management information system development: Comprehensive review. Academy of Strategic Management Journal, 20(5), 1-8.
5. Alfawareh, F. S., Al-Kofahi, M., Al-Kofahi, B., Alshirah, M. H., Alshira’h, M. and Ananzeh, H. (2021). A Bibliometric Analysis of Published Articles on Management Information Systems (MIS). Information and Knowledge Management, ISSN 2224-5758 (Paper) ISSN 2224-896X (Online), Vol.11, No.4, 142-149.
6. Anthony, R. N. (1965). Planning and control systems: a framework for analysis. Division of Research, Graduate School of Business Administration, Harvard University.
7. Ardito, L., Scuotto, V., Del Giudice, M. and Petruzzelli, A. M. (2018). A bibliometric analysis of research on Big Data analytics for business and management. Big Data Analytics, 57(8), 1993-2009.
8. Bailey, J. E. and Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management science, 29(5), 530-545.

9. Barki, H., Rivard, S. and Talbot, J. (1993). A keyword classification scheme for IS research literature: An update. MIS Quarterly, 17(2), 209-226.
10. Callon, M., Courtial, J. P. and Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics, 22(1), 155-205.
11. Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377.
12. Coulter, N., Monarch, I. and Konda, S. (1998). Software engineering as seen through its research literature: A study in co-word analysis. Journal of the American Society for Information Science, 49(13), 1206-1223.
13. Culnan, M. J. (1986). The intellectual development of management information systems, 1972–1982: A co-citation analysis. Management science, 32(2), 156-172.
14. Culnan, M. J. (1987). Mapping the intellectual structure of MIS, 1980-1985: A co-citation analysis. Mis Quarterly, 341-353.
15. Culnan, M. J. and Swanson, E. B. (1986). Research in management information systems, 1980-1984: Points of work and reference. Mis Quarterly, 289-302.
16. Damar, M., Özdağoğlu, G. and Gökşen, Y. (2021). Yönetim Bilişim Sistemleri Alanında Ulusal Yayın Kaynaklarının Değerlendirilmesi. Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi, 5(2), 194-211.
17. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.
18. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003.
19. Delone, W. H. and Mclean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95.
20. DeLone, W. H. and McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.
21. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N. and Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296.
22. Ein-Dor, P. and Segev, E. (1978). Organizational context and the success of management information systems. Management science, 24(10), 1064-1077.
23. El-Ebiary, Y. A. B., Najam, I. S. M. and Abu-Ulbeh, W. (2016). The Influence of Management Information System (MIS) in Malaysian's Organisational Processes-Education Sector. [Advanced science letters]. International Conference on Science, Engineering, Management and Social Sciences (ICSEMSS), Univ Teknologi Malaysia, Johor Bahru, Malaysia.
24. Eppler, M. J. and Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines [Article]. Information Society, 20(5), 325-344. https://doi.org/10.1080/01972240490507974
25. Falagas, M. E., Pitsouni, E. I., Malietzis, G. A. and Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses. The FASEB Journal, 22(2), 338-342.
26. Fornell, C. and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
27. Fountas, S., Carli, G., Sørensen, C. G., Tsiropoulos, Z., Cavalaris, C., Vatsanidou, A. and Tisserye, B. (2015). Farm management information systems: Current situation and future perspectives. Computers and electronics in agriculture, 115, 40-50.
28. Garfield, E., Pudovkin, A. I. and Istomin, V. S. (2003). Why do we need algorithmic historiography?. Journal of the Association for Information Science and Technology, 54(5), 400-412.
29. Gorla, N., Somers, T. M. and Wong, B. (2010). Organizational impact of system quality, information quality, and service quality [Article]. Journal of Strategic Information Systems, 19(3), 207-228. https://doi.org/10.1016/j.jsis.2010.05.001
30. Gorry, G. A. and Morton, M. S. S. (1971). Framework For Management Information Systems. Sloan Management Review, 13(1), 55-70.
31. Hair, J. F., Sarstedt, M. and Ringle, C. M. (2019). Rethinking some of the rethinking of partial least squares [Article]. European Journal of Marketing, 53(4), 566-584. https://doi.org/10.1108/ejm-10-2018-0665
32. Hair, J. F., Sarstedt, M., Hopkins, L. and Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research [Review]. European Business Review, 26(2), 106-+. https://doi.org/10.1108/ebr-10-2013-0128
33. Hicks, D., Wouters, P., Waltman, L., De Rijcke, S. and Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520(7548), 429-431.
34. Holsapple, C. W. (2008), The pulse of multiparticipant systems. J Organ Comput Electron Commer, 18(4):333–43. doi:10.1080/10919390802453617.
35. Hood, W. W. and Wilson, C. S. (2001). The literature of bibliometrics, scientometrics, and informetrics. Scientometrics, 52(2), 291-314.
36. Hu, J., Liu, L. C., Koong, K. S. and Fok, L. (2002). Information systems journals: A study of university library holdings. Journal of Business and Finance Librarianship, 8(1), 27-43.
37. Ives, B. and Olson, M. H. (1984). User involvement and MIS success: A review of research. Management science, 30(5), 586-603.
38. Ives, B., Hamilton, S. and Davis, G. B. (1980). A framework for research in computer-based management information systems. Management science, 26(9), 910-934.
39. Ives, B., Olson, M. H. and Baroudi, J. J. (1983). The measurement of user information satisfaction. Communications of the ACM, 26(10), 785-793.
40. Katerattanakul, P., Han, B. and Rea, A. (2006). Is information system a reference discipline?. Communications of the ACM, 49(5), 114-1148. Keen, P. G. (1978). Decisión support systems; an organizational perspective (No. 04; QA76. 6, K44.).
41. Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American documentation, 14(1), 10-25.
42. Kulkarni, A. V., Aziz, B., Shams, I. and Busse, J. W. (2009). Comparisons of citations in Web of Science, Scopus, and Google Scholar for articles published in general medical journals. Jama, 302(10), 1092-1096.
43. La Paz, A., Merigo, J. M., Powell, P., Ramaprasad, A. and Syn, T. (2020). Twenty-five years of the Information Systems Journal: A bibliometric and ontological overview. Information Systems Journal, 30(3), 431– 457.
44. Lin, A. J., Hsu, C. L. and Chiang, C. H. (2016). RETRACTED ARTICLE: Bibliometric study of Electronic Commerce Research in Information Systems and MIS Journals. Scientometrics, 109, 1455-1476.
45. Mason, R. O. and Mitroff, I. I. (1973). A program for research on management information systems. Management science, 19(5), 475-487.
46. Merigo, ´ J. M., Pedrycz, W., Weber, R. and de la Sotta, C. (2018). Fifty years of information sciences: A bibliometric overview. Information Sciences, 432, 245–268.
47. Mohanty, B. and Sahoo, J. (2016). The intellectual patterns of management information system research: a bibliometric study on International Journal of Management Reviews. Library Philosophy and Practice (e-journal), 1-16.
48. Orlikowski, W. J. and Baroudi, J. J. (1991). Studying information technology in organizations: Research approaches and assumptions. Information systems research, 2(1), 1-28.
49. Özköse, H. and Gencer, C. T. (2017). Bibliometric analysis and mapping of management information systems field. Gazi University Journal of Science, 30(4), 356-371.
50. Ozkose, H., Ozyurt, O. and Ayaz, A. (2022). Management Information Systems Research: A Topic Modeling Based Bibliometric Analysis. Journal of Computer Information Systems. https://doi.org/10.1080/08874417.2022.2132429.
51. Palvia, P., Pinjani, P. and Sibley, E. H. (2007). A profile of information systems research published in Information and Management. Information and Management, 44(1), 1-11.
52. Persson, O., Danell, R. and Schneider, J. W. (2009). How to use Bibexcel for various types of bibliometric analysis. Celebrating scholarly communication studies: A Festschrift for Olle Persson at his 60th Birthday, 9(5), 210-214.
53. Rowley, J. (2007). The wisdom hierarchy: representations of the DIKW hierarchy [Article]. Journal of Information Science, 33(2), 163-180. https://doi.org/10.1177/0165551506070706
54. Ruiz-Real, J. L., Uribe-Toril, J., Valenciano, J. D. P. and Gázquez-Abad, J. C. (2018). Worldwide research on circular economy and environment: A bibliometric analysis. International Journal of Environmental Research and Public Health, 15(12). https://doi.org/10.3390/ijerph15122699.
55. Seo, E. G. and Han, I. G. (1997). Bibliometric analysis on MIS research. Asia pacific journal of information systems, 7(3), 145-165.
56. Sewell, G. and Wilkinson, B. (1992). Someone To Watch Over Me - Surveillance, Discipline and The Just-In-Time Labor Process [Article]. Sociology-the Journal of the British Sociological Association, 26(2), 271-289. https://doi.org/10.1177/0038038592026002009
57. Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265-269.
58. Small, H. and Griffith, B. C. (1974). The structure of scientific literatures I: Identifying and graphing specialties. Science studies, 4(1), 17-40.
59. Sørensen, C. G., Fountas, S., Nash, E., Pesonen, L., Bochtis, D., Pedersen, S. M. and Blackmore, S. B. (2010). Conceptual model of a future farm management information system. Computers and electronics in agriculture, 72(1), 37-47.
60. Swanson, E. B. (1974). Management information systems: appreciation and involvement. Management science, 21(2), 178-188.
61. Van Eck, N. J. and Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
62. Van Eck, N. J. and Waltman, L. (2011). Text mining and visualization using VOSviewer. arXiv preprint arXiv:1109.2058.
63. Van Raan, A. F. (2005). Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods. Scientometrics, 62(1), 133-143.
64. Venkatesh, V. and Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
65. Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.
66. Vessey, I. (1991). Cognitive Fit - A Theory-Based Analysis of The Graphs Versus Tables Literature [Article]. Decision Sciences, 22(2), 219-240. https://doi.org/10.1111/j.1540-5915.1991.tb00344.x
67. Webster, J. and Martocchio, J. J. (1992). Microcomputer Playfulness - Development of A Measure With Workplace Implications [Article]. Mis Quarterly, 16(2), 201-226. https://doi.org/10.2307/249576
68. Xu, J., Zhong, L., Yao, L. and Wu, Z. (2018). An interval type-2 fuzzy analysis towards electric vehicle charging station allocation from a sustainable perspective. Sustainable Cities and Society, 40(August 2017), 335–351. https://doi.org/10.1016/j.scs.2017.12.010