Interactive Mobile as a Strategic Catalyst for Digital Innovation: A Theory-Building Bibliometric Analysis of Organisational Integrity and Public Sector Performance
DOI:
https://doi.org/10.3991/ijim.v20i19.63179Keywords:
Interactive Mobile, Digital Innovation, Organizational Integrity, Public Sector Performance, Theory-Building Bibliometric Analysis, Public Administration, Strategic CapabilityAbstract
Mobile technologies have become essential for digital public sector transformations. Existing studies treat these technologies as mobile communications technologies. This research uses a theory-building bibliometric approach to reposition Interactive Mobile as a strategic catalyst for digital innovation, organisational integrity, and public sector performance. Interactive mobile is applied to 1,528 Scopus documents published from 2021 to 2025 and is analyzed using bibliometric performance analysis and science mapping. For publication performance analysis, Microsoft Excel was used, and for co-authorship, keyword co-occurrence, bibliographic coupling, and co-citation analyses, VOSviewer (Version 1.6.20) was used. The results show a clear departure from technology-based mobile communications research and analyses to research in a multidisciplinary area of digital innovation, digital governance and smart public services, organizational capability, and citizen engagement. Science mapping also shows increased intellectual convergence of interactive mobile, digital innovation, organizational capability, and public sector governance. Using science mapping and a theory-building approach, the research proposes the Interactive Mobile Strategic Capability Framework. Interactive mobile is the primary capability that enables digital innovation, organizational integrity, and public sector performance. While bibliometrics is primarily a descriptive science mapping, using a capability-based approach to public administration, this study extends the boundaries of public sector research and provides a strong theoretical basis for the future empirical research of digital public sector initiatives, innovations, and organizational transformations.
References
[1] Li, J., & Li, Q. (2024). Enhancing educational design capabilities through interactive mobile and adaptive learning platforms: An empirical study. International Journal of Interactive Mobile Technologies, 18(8), 87–101.
[2] Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2021). Digital innovation management: Reinventing innovation management research in a digital world. MIS Quarterly, 45(1), 223–238.
[3] Scupola, A., & Mergel, I. (2022). Co-production in digital government: A systematic literature review. Government Information Quarterly, 39(4), 101654.
[4] Shakir, M. (2024). The influence of mobile information systems implementation on enhancing human resource performance skills: An applied study in a small organization. International Journal of Interactive Mobile Technologies, 18(13), 37–68.
[5] Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., et al. (2023). So what if ChatGPT wrote it? Multidisci-plinary perspectives on opportunities, challenges and implications of generative conver-sational AI. International Journal of Information Management, 71, 102642.
[6] Demircioglu, M. A. (2024). Digital innovation in the public sector: Emerging trends and future research directions. Public Management Review, 26(2), 289–311.
[7] Haug, A., Adsbøll Wickstrøm, K., Stentoft, J., & Philipsen, K. (2024). Digital trans-formation and organisational innovation: Emerging capabilities and future challenges. Technological Forecasting and Social Change, 199, 123075.
[8] Meijer, A., & Thaens, M. (2022). Digital governance: Opportunities and challenges for public administration. Public Management Review, 24(7), 945–961.
[9] Criado, J. I., & Gil-Garcia, J. R. (2022). Digital government and public management: A review of recent developments. Government Information Quarterly, 39(4), 101713.
[10] Janssen, M., Rana, N. P., Slade, E. L., & Dwivedi, Y. K. (2023). Trust, artificial intelli-gence, and digital government: A research agenda. Government Information Quarterly, 40(2), 101798.
[11] Mergel, I., Ganapati, S., & Whitford, A. B. (2023). Agile governance in the digital era. Public Administration Review, 83(2), 221–235.
[12] Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to con-duct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296.
[13] Aria, M., Cuccurullo, C., & D'Aniello, L. (2022). The evolution of bibliometric analysis: From performance analysis to science mapping and theory building. Scientometrics, 127(4), 1715–1750.
[14] Lim, W. M., Kumar, S., Pandey, N., & Donthu, N. (2022). Bibliometric analysis: The-matic evolution and future research directions. Journal of Business Research, 142, 473–483.
[15] Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer pro-gram for bibliometric mapping. Scientometrics, 84(2), 523–538.
[16] Vial, G. (2021). Understanding digital transformation: A review and research agenda. Managing Digital Transformation. 28(2), 118-144.
[17] Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901.
[18] Gil-Garcia, J. R., Dawes, S. S., & Pardo, T. A. (2022). Digital government and public management: Research trends and future directions. Government Information Quarterly, 39(1), 101620.
[19] Mergel, I., Edelmann, N., & Haug, N. (2019). Defining digital transformation: Results from expert interviews. Government Information Quarterly, 36(4), 101385.
[20] Criado, J. I., Sandoval-Almazan, R., & Gil-Garcia, J. R. (2021). Government innovation through digital technologies: A systematic review. Government Information Quarterly, 38(3), 101540.
[21] George, G., Merrill, R. K., & Schillebeeckx, S. J. D. (2024). Digital innovation and organisational transformation: Future directions. Academy of Management Perspectives, 38(1), 1–18.
[22] Lyytinen, K., Yoo, Y., & Boland, R. J. (2016). Digital product innovation within four classes of innovation networks. Information Systems Journal, 26(1), 47–75.
[23] Yoo, Y., Boland, R. J., Lyytinen, K., & Majchrzak, A. (2012). Organizing for innovation in the digitized world. Organization Science, 23(5), 1398–1408.
[24] Majchrzak, A., Markus, M. L., & Wareham, J. (2016). Designing for digital transfor-mation: Lessons for information systems research. MIS Quarterly, 40(2), 267–277.
[25] Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40–49.
[26] Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.
[27] Haefner, N., Wincent, J., Parida, V., & Gassmann, O. (2021). Artificial intelligence and innovation management: A review, framework, and research agenda. Technological Forecasting and Social Change, 162, 120392.
[28] Meijer, A., & Grimmelikhuijsen, S. (2021). Responsible artificial intelligence in gov-ernment: Challenges and opportunities. Government Information Quarterly, 38(4), 101580.
[29] Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., Bosak, J., et al. (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions. Human Resource Management Jour-nal, 33(3), 606–659.
[30] OECD. (2024). Digital Government Index 2023: Results and Key Findings. Organisation for Economic Co-operation and Development.
[31] UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. United Nations Educational, Scientific and Cultural Organization.
[32] Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial intelligence and the public sector: Applications and challenges. International Journal of Public Administration, 42(7), 596–615.
[33] Pencheva, I., Esteve, M., & Mikhaylov, S. J. (2020). Big data and AI: A transformational shift for public administration? Public Management Review, 22(10), 1421–1432.
[34] Wessel, L., Baiyere, A., Ologeanu-Taddei, R., Cha, J., & Jensen, T. B. (2021). Unpack-ing the difference between digital transformation and IT-enabled organisational trans-formation. Journal of the Association for Information Systems, 22(1), 102–129.
[35] Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Abd. Rahim Romle, Noor Hanis Zainol Abidin, Ainur Rabiyatul Abd. Rahim

This work is licensed under a Creative Commons Attribution 4.0 International License.

