PENGARUH ARTIFICIAL INTELLIGENCE CAPABILITY DAN ORGANIZATIONAL CREATIVITY DALAM MEMAKSIMALKAN ORGANIZATIONAL PERFORMANCE PADA PT RADIANT UTAMA INTERINSCO
DOI:
https://doi.org/10.54314/jssr.v9i5.7330Keywords:
artificial intelligence capability, organizational creativity, organizational performance, PLS-SEM, oil and gas serviceAbstract
Abstract: This study examines the effect of artificial intelligence (AI) capability and organizational creativity on organizational performance at PT Radiant Utama Interinsco, an Indonesian oil and gas support services company. A quantitative explanatory design was used. From a population of 150 employees, 108 respondents were selected by simple random sampling based on the Krejcie and Morgan table. Data were collected using a five-point Likert questionnaire and analysed with Partial Least Squares Structural Equation Modeling (PLS-SEM). The model explained 73.0% of the variance in organizational creativity and 86.3% in organizational performance. AI capability had a positive and significant effect on organizational performance (β = 0.232; p = 0.041) and on organizational creativity (β = 0.855; p < 0.001). Organizational creativity had a positive and significant effect on organizational performance (β = 0.723; p < 0.001). Organizational creativity partially mediated the effect of AI capability on organizational performance (β = 0.618; p < 0.001), with the indirect effect accounting for 72.7% of the total effect. These findings indicate that AI capability improves performance mainly by strengthening the organization's ability to generate, promote, and implement new ideas.
Keyword: artificial intelligence capability; organizational creativity; organizational performance; PLS-SEM; oil and gas services.
Abstrak: Penelitian ini menguji pengaruh artificial intelligence (AI) capability dan organizational creativity terhadap organizational performance pada PT Radiant Utama Interinsco, perusahaan jasa pendukung industri minyak dan gas di Indonesia. Penelitian menggunakan pendekatan kuantitatif eksplanatori. Dari populasi 150 karyawan, sebanyak 108 responden dipilih dengan simple random sampling berdasarkan tabel Krejcie dan Morgan. Data dikumpulkan melalui kuesioner skala Likert lima poin dan dianalisis dengan Partial Least Squares Structural Equation Modeling (PLS-SEM). Model menjelaskan 73,0% variasi organizational creativity dan 86,3% variasi organizational performance. AI capability berpengaruh positif dan signifikan terhadap organizational performance (β = 0,232; p = 0,041) dan organizational creativity (β = 0,855; p < 0,001). Organizational creativity berpengaruh positif dan signifikan terhadap organizational performance (β = 0,723; p < 0,001). Organizational creativity memediasi secara parsial pengaruh AI capability terhadap organizational performance (β = 0,618; p < 0,001), dengan pengaruh tidak langsung sebesar 72,7% dari pengaruh total. Temuan ini menunjukkan bahwa AI capability meningkatkan kinerja terutama melalui penguatan kemampuan organisasi dalam menghasilkan, mempromosikan, dan mengimplementasikan ide baru.
Kata kunci: artificial intelligence capability; organizational creativity; organizational performance; PLS-SEM; jasa migas.
Downloads
References
Almheiri, H. M., Ahmad, S. Z., Abu Bakar, A. R., & Khalid, K. (2024). Artificial intelligence capabilities, dynamic capabilities and organizational creativity: Contributing factors to the United Arab Emirates Government's organizational performance. Journal of Modelling in Management, 19(3), 953–979. https://doi.org/10.1108/JM2-11-2022-0272
Amabile, T. (2019). GUIDEPOST: Creativity, artificial intelligence, and a world of surprises. Academy of Management Discoveries. https://doi.org/10.5465/amd.2019.0075
Barney, J. B. (2001). Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view. Journal of Management, 27(6), 643–650. https://doi.org/10.1177/014920630102700602
Chen, Y., & Lin, Z. (2021). Business intelligence capabilities and firm performance: A study in China. International Journal of Information Management, 57, 102232. https://doi.org/10.1016/j.ijinfomgt.2020.102232
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Sage.
Daft, R., Murphy, J., & Willmott, H. (2010). Organization theory and design. Cengage Learning.
Dubey, R., Gunasekaran, A., Childe, S. J., Bryde, D. J., Giannakis, M., Foropon, C., Roubaud, D., & Hazen, B. T. (2020). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. International Journal of Production Economics, 226, 107599. https://doi.org/10.1016/j.ijpe.2019.107599
Fajimolu, O., Okonji, P., & Onyemaobi, C. (2023). Role of organizational creativity between artificial intelligence capability and organizational performance. Business and Entrepreneurial Review, 23(1), 157–174. https://doi.org/10.25105/ber.v23i1.15300
Fetrati, M. A., Hansen, D., & Akhavan, P.
(2022). How to manage creativity in organizations: Connecting the literature on organizational creativity through bibliometric research. Technovation, 115, 102473. https://doi.org/10.1016/j.technovation.2022.102473
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Gazi, M. A. I., Rahman, M. K. H., Masud, A. A., Amin, M. B., Chaity, N. S., Senathirajah, A. R. S., & Abdullah, M. (2024). AI capability and sustainable performance: Unveiling the mediating effects of organizational creativity and green innovation with knowledge sharing culture as a moderator. Sustainability, 16(17), 7466. https://doi.org/10.3390/su16177466
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Janssen, O. (2000). Job demands, perceptions of effort-reward fairness and innovative work behaviour. Journal of Occupational and Organizational Psychology, 73(3), 287–302. https://doi.org/10.1348/096317900167038
Jayarathne, P. G. S. A., Upananda, D. R. P., & Gunawardhana, T. (2025). The impact of artificial intelligence capability, organisational creativity and knowledge sharing on organisational performance: Experience from the South Asian IT sector. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-12-2024-5077
Kaplan, R. S., & Norton, D. P. (1996). Linking the balanced scorecard to strategy. California Management Review, 39(1), 53–79. https://doi.org/10.2307/41165876
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
Li, N., Yan, Y., Yang, Y., & Gu, A. (2022). Artificial intelligence capability and organizational creativity: The role of knowledge sharing and organizational cohesion. Frontiers in Psychology, 13, 845277. https://doi.org/10.3389/fpsyg.2022.845277
Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Information technology and organizational performance: An integrative model of IT business value. MIS Quarterly, 28(2), 283–322. https://doi.org/10.2307/25148636
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3), 103434. https://doi.org/10.1016/j.im.2021.103434
Neiroukh, S., Emeagwali, O. L., & Aljuhmani, H. Y. (2025). Artificial intelligence capability and organizational performance: Unraveling the mediating mechanisms of decision-making processes. Management Decision, 63(10), 3501–3532. https://doi.org/10.1108/MD-10-2023-1946
Oldham, G. R., & Cummings, A. (1996). Employee creativity: Personal and contextual factors at work. Academy of Management Journal, 39(3), 607–634. https://doi.org/10.2307/256657
Patwary, A. K., Alwi, M. K., Rehman, S. U., Rabiul, M. K., Babatunde, A. Y., & Alam, M. M. D. (2024). Knowledge management practices on innovation performance in the hotel industry: Mediated by organizational learning and organizational creativity. Global Knowledge, Memory and Communication, 73(4/5), 662–681. https://doi.org/10.1108/GKMC-05-2022-0104
Pinarbasi, F., Sonmez Cakir, F., Güner Gültekin, D., Yazici, M., & Adiguzel, Z. (2024). Examination of the effects of value creation, intellectual property and organizational creativity on artificial intelligence focused enterprises. Business Process Management Journal, 30(1), 317–337. https://doi.org/10.1108/BPMJ-07-2023-0551
Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2017). Reshaping business with artificial intelligence: Closing the gap between ambition and action. MIT Sloan Management Review, 59(1).
Riaz, H., & Hassan, A. (2019). Mediating role of organisational creativity between employees' intention in knowledge management process and organisational performance: Empirical study on pharmaceutical employees. Pakistan Journal of Commerce and Social Sciences, 13(3), 730–750.
Richard, P. J., Devinney, T. M., Yip, G. S., & Johnson, G. (2009). Measuring organizational performance: Towards methodological best practice. Journal of Management, 35(3), 718–804. https://doi.org/10.1177/0149206308330560
Scott, S. G., & Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of Management Journal, 37(3), 580–607. https://doi.org/10.5465/256701
Shahzad, K., Bajwa, S. U., Siddiqi, A. F. I., Ahmid, F., & Raza Sultani, A. (2016). Integrating knowledge management (KM) strategies and processes to enhance organizational creativity and performance. Journal of Modelling in Management, 11(1), 154–179. https://doi.org/10.1108/JM2-07-2014-0061
Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.
Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171–180. https://doi.org/10.1002/smj.4250050207
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Meliana Meliana, Junaidi Junaidi, Marihot Manullang (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
