Journal Screenshot

International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Unveiling Direct Influence on Collaborative Research among Academicians in Online Open Flexible Distance Learning Higher Education Institutions

Zahir Osman, Noral Hidayah Alwi, Bibi Nabi Ahmad Khan, Huong-An Thi Nguyen

http://dx.doi.org/10.6007/IJARBSS/v15-i3/24733

Open access

This study investigates the critical factors influencing collaborative research among academicians within open flexible distance learning (OFDL) higher education institutions, emphasizing the roles of attitude, organizational support, and self-efficacy. Collaborative research is pivotal in these settings, enhancing resource utilization, innovation, and sharing of expertise across geographical distances. The study aims to delineate how organizational culture, perceived benefits, and self-efficacy impact collaborative research, with attitude as a mediating variable. Data was collected using structured surveys distributed via email, targeting academicians involved in OFDL institutions. Out of the 507 surveys distributed, 383 responses were deemed suitable for analysis, yielding a response rate of 78.4%. The analysis employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the data and test the proposed hypotheses. Hypotheses testing results revealed that attitude, organizational support, and self-efficacy significantly enhance collaborative research, whereas organizational culture and perceived benefits showed no substantial impact. These findings suggest that interventions should bolster positive attitudes, provide robust institutional support, and foster self-efficacy among academicians to drive collaborative efforts. The study suggests further exploration of organizational culture and perceived benefits across varied contexts and employing qualitative methods to gain deeper insights into the experiences of academicians. Longitudinal studies could also be beneficial in understanding the evolution of these influences over time. The implications of this study stress the importance of tailored strategies within OFDL institutions to promote effective collaboration. Enhancing institutional support structures and developing programs that build self-efficacy and positive attitudes are crucial steps toward achieving more impactful collaborative research outcomes.

Ahola, S., Malmberg, J., & Järvenoja, H. (2023). Investigating the relation of higher education students’ situational self-efficacy beliefs to participation in group-level regulation of learning during a collaborative task. Cogent Education, 10(1), 2164241.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Al?ma'aitah, M. A. (2024). The contribution of digital business strategy in enhancing collaborative innovation capability: The moderating role of organizational culture—A case study of six pharmaceutical companies in Jordan. The Electronic Journal of Information Systems in Developing Countries, 90(4), e12315.
Al-Rahmi, W. M., & Othman, M. S. (2013). Evaluating student’s satisfaction of using social media through collaborative learning in higher education. International Journal of Advances in Engineering & Technology, 6(4), 1541–1551.
Austin, M. J., McBeath, B., Xu, B., Muurinen, H., Natland, S., & Roose, R. (2024). Organizational supports for practice research: Illustrations from an international practice research collaborative. Research on Social Work Practice, 10497315231225138.
Awan, M. A. A., & Jehanzeb, K. (2022). How CEO transformational leadership impacts organizational and individual innovative behavior: collaborative HRM as mediator. Leadership & Organization Development Journal, 43(8), 1271-1286.
Azar, A. S., Keat, O. B., & Arutus, J. S. (2021). Collaborative Learning in the Classroom: The Study of Malaysian University Student''Attitude. Ilkogretim Online, 20(4).
Beeker, T., Glück, R. K., Ziegenhagen, J., Göppert, L., Jänchen, P., Krispin, H., ... & von Peter, S. (2021). Designed to clash? Reflecting on the practical, personal, and structural challenges of collaborative research in psychiatry. Frontiers in Psychiatry, 12, 701312.
Bhalla, S. (2023). Motivations and constraints of collaborative consumption, testing the mediating role of attitude and nature of trust. Vision, 27(2), 189-201.
Carminati, L., Pirola, F., Lagorio, A., Cimini, C., Jurczuk, A., & Boucher, X. (2024, September). Skills, Technical and Organizational Support Needed for Collaborative Networks 5.0. In Working Conference on Virtual Enterprises (pp. 380-396). Cham: Springer Nature Switzerland.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159. doi:10.1037/0033- 2909.112.1.155
Eisenberger, R., Huntington, R., Hutchinson, S., & Sowa, D. (1986). Perceived organizational support. Journal of Applied Psychology, 71, 500-507.
Gan, D., Alkaher, I., & Segal, T. (2023). Incorporating collaborative learning in teacher education to foster self-efficacy to implement environmental citizenship: an action research. International Journal of Sustainability in Higher Education, 24(3), 700-718.
Garg, P., Gupta, B., Chauhan, A. K., Sivarajah, U., Gupta, S., & Modgil, S. (2021). Measuring the perceived benefits of implementing blockchain technology in the banking sector. Technological forecasting and social change, 163, 120407.
Gasparrini, A., Vicedo-Cabrera, A. M., & Tobias, A. (2024). The Multi-Country Multi-City Collaborative Research Network: An international research consortium investigating environment, climate, and health. Environmental Epidemiology, 8(5), e339.
Gredig, D., Heinsch, M., Amez-Droz, P., Hüttemann, M., Rotzetter, F., & Sommerfeld, P. (2021). Collaborative research and development: a typology of linkages between researchers and practitioners. European Journal of Social Work, 24(6), 1066-1082.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: SAGE.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3 ed.). Thousand Oaks, CA: Sage.
Hair, J.F., M. Sarstedt, C.M. Ringle, and S.P. Gudergan. (2018). Advanced issues in partial least squares structural equation modeling. Thousand Oakes, CA: Sage Publications
Henseler, J., Ringle, C. M., and 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
Intaratat, K., Osman, Z., Nguyen, H. A. T., Suhandoko, A. D. J., & Sultana, N. (2024). Peer and tutor interaction effects on collaborative learning: The role of learning self-efficacy. Edelweiss Applied Science and Technology, 8(4), 2108-2121.
Kebah, M., Raju, V., & Osman, Z. (2019). Growth of online purchase in Saudi Arabia retail industry. International Journal of Recent Technology and Engineering, 8(3), 869-872.. ISSN: 2277-3878
Kebah, M., Raju, V., & Osman, Z. (2019). Online purchasing trend in the retail industry in Saudi. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 865-868. ISSN: 2277-3878
Kienast, S. R. (2023). How do universities’ organizational characteristics, management strategies, and culture influence academic research collaboration? A literature review and research agenda. Tertiary Education and Management, 29(2), 139-160.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10.
Kock, N., & Lynn, G.S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546-580.
Lam, L., Nguyen, P., Le, N., & Tran, K. (2021). The relation among organizational culture, knowledge management, and innovation capability: Its implication for open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 66.
Li, X. T., Rahman, A., Connie, G., & Osman, Z. (2020). Examining customers' perception of electronic shopping mall's e-service quality. International Journal of Services, Economics and Management, 11(4), 329-346.
Li, J., Zhang, M., Li, Y., Huang, F., & Shao, W. (2021). Predicting students' attitudes toward collaboration: Evidence from structural equation model trees and forests. Frontiers in Psychology, 12, 604291.
Liengaard, B. D., Sharma, P. N., Hult, G. T. M., Jensen, M. B., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2021). Prediction: Coveted, Yet Forsaken? Introducing a Cross-validated Predictive Ability Test in Partial Least Squares Path Modeling. Decision Sciences, 52(2), 362-392.
Mittal, D., Mease, R., Kuner, T., Flor, H., Kuner, R., & Andoh, J. (2023). Data management strategy for a collaborative research center. GigaScience, 12, giad049.
Moreno-Cely, A., Cuajera-Nahui, D., Escobar-Vasquez, C. G., Vanwing, T., & Tapia-Ponce, N. (2021). Breaking monologues in collaborative research: Bridging knowledge systems through a listening-based dialogue of wisdom approach. Sustainability Science, 16, 919-931.
Mudhar, G., Ertesvåg, S. K., & Pakarinen, E. (2024). Patterns of teachers’ self-efficacy and attitudes toward inclusive education associated with teacher emotional support, collective teacher efficacy, and collegial collaboration. European journal of special needs education, 39(3), 446-462.
NGUYEN, T. D., BUI, T. H. V., NGUYEN, T. L. T., TRAN, M. D., & TRAN, T. K. N. (2021). Perception of organizational support to lecturers' research motivation: The case of Vietnam. The Journal of Asian Finance, Economics and Business, 8(2), 657-666.
Osman, Z., Mohamad, W., Mohamad, R. K., Mohamad, L., & Sulaiman, T. F. T. (2018). Enhancing students’ academic performance in Malaysian online distance learning institutions. Asia Pacific Journal of Educators and Education, 33, 19-28.
Pedersen, C. H. (2021). Crafting collaborative research methodologies: leaps and bounds in interdisciplinary inquiry. Routledge.
Ringle, C.M., and M. Sarstedt. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems. 116: 1865–1886.
Ringle, Christian M., Wende, Sven, & Becker, Jan-Michael. (2022). SmartPLS 4. Oststeinbek: SmartPLS. Retrieved from https://www.smartpls.com
Ryan, A. W., Kolås, L., Nilsen, A. G., & Almås, A. G. (2024). Systematic literature review as a digital collaborative research-like learning activity: a case study. Education and Information Technologies, 29(5), 5243-5257.
Santos, A. G. M., & Alliprandini, P. M. Z. (2023). Effectiveness of a collaborative intervention in self-regulation and self-efficacy of higher education students. International Journal of Instruction, 16(2), 179-194.
Seals, R. E. (2024). Pathways to Self-Efficacy & Collaboration: A Quantitative Comparative Study (Doctoral dissertation, Grand Canyon University).
Shehzad, M. U., Zhang, J., Alam, S., Cao, Z., Boamah, F. A., & Ahmad, M. (2023). Knowledge management process as a mediator between collaborative culture and frugal innovation: the moderating role of perceived organizational support. Journal of Business & Industrial Marketing, 38(7), 1424-1446.
Shmueli, G., M. Sarstedt, J.F. Hair, J.-H. Cheah, H. Ting, S. Vaithilingam, and C.M. Ringle. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing. 53: 2322–2347.
Shmueli, G., S. Ray, J. M., Velasquez Estrada, and S.B. Chatla. (2016). The elephant in the room: predictive performance of PLS models. Journal of Business Research, 69: 4552–4564.
Singletary, L., Koebele, E., Evans, W., Copp, C. J., Hockaday, S., & Rego, J. J. (2022). Evaluating stakeholder engagement in collaborative research: co-producing knowledge for climate resilience. Socio-Ecological Practice Research, 4(3), 235-249.
Thibault, R. T., Amaral, O. B., Argolo, F., Bandrowski, A. E., Davidson, A. R., & Drude, N. I. (2023). Open Science 2.0: Towards a truly collaborative research ecosystem. PLoS Biology, 21(10), e3002362.
Tran, L. (2023). Avid, Averse, Apprehensive, or Apathetic? A typology of collaboration attitudes. Nonprofit Management and Leadership, 34(1), 131-153.
Van den Berg, P. T., & Wilderom, C. P. M. (2004). Defining, Measuring, and Comparing Organisational Cultures. Applied psychology, 53(4), 570-582. https://doi.org/10.1111/j.1464-0597.2004.00189.x
Van Dijck, C. (2024). Fostering collaborative innovation: the effects of red tape and organizational culture. International Public Management Review, 23(1), 59-82.
Wine, O., Spiers, J., Burns, K. K., van Manen, M., & Vargas, A. O. (2022). A case study unpacking the collaborative research process: Eight essential components. Environmental Science & Policy, 131, 209-220.
Wiroonrath, S., Phanniphong, K., Somnuk, S., & Na-Nan, K. (2024). Impact of leader support on open innovation: the mediating role of organizational culture, intellectual property, and collaboration. Journal of Open Innovation: Technology, Market, and Complexity, 10(3), 100333.
Zurba, M., Petriello, M. A., Madge, C., McCarney, P., Bishop, B., McBeth, S., ... & Bailey, M. (2022). Learning from knowledge co-production research and practice in the twenty-first century: global lessons and what they mean for collaborative research in Nunatsiavut. Sustainability Science, 17(2), 449-467.

Osman, Z., Ali, A., Aziz, R. C., & Yusoof, F. (2025). Unveiling Direct Influence on Collaborative Research among Academicians in Online Open Flexible Distance Learning Higher Education Institutions. International Journal of Academic Research in Business and Social Sciences, 15(3), 65–80.