A Decision-Support Model for Enhancing Innovative Business Performance: The Role of Technological Opportunism, Supervisory Support and Innovation Culture

Mohamed Alkashami; Umair Ahmed; Md. Lazim Mohd Zin; Ammar Ahmed

doi:10.31181/dmame8220251571

Authors

Mohamed Alkashami Arab Open University
Umair Ahmed Delaware State University, USA
Md. Lazim Mohd Zin Universiti Utara Malaysia, Malaysia.
Ammar Ahmed Alasala University, Saudi Arabia

DOI:

https://doi.org/10.31181/dmame8220251571

Keywords:

Decision Making, Technological Opportunism; Business Innovative Performance; Innovation Engagement; Innovation Culture; Supervisor Innovative Support

Abstract

This research examines the factors influencing innovative business performance by analysing how technological opportunism, supervisor support for innovation, innovation engagement, and organisational innovation culture affect managerial and organisational decision-making in innovation contexts. Employing a decision-analytic perspective and structural equation modelling using Smart PLS 3, quantitative data from the manufacturing industry were analysed. The findings indicate that technological opportunism impacts innovative business performance both directly and indirectly, highlighting the critical role of technology-related decision-making and adoption strategies. Additionally, the results demonstrate that supervisor support for innovation plays a crucial role in encouraging employees to participate in innovation activities, thereby enhancing overall innovation outcomes. The study also emphasises that an organisational culture promoting experimentation and inclusive decision-making cultivates an environment supportive of creativity and innovation. By combining insights from innovation management and decision sciences, the research suggests that effective innovation performance relies not solely on resource availability but on the quality of technological, supervisory, and cultural decision-making embedded within the organisation.

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References

[1] Aboramadan, M., Albashiti, B., Alharazin, H., & Zaidoune, S. (2020). Organizational culture, innovation and performance: a study from a non-western context. Journal of Management Development, 39(4), 437-451. https://doi.org/10.1108/JMD-06-2019-0253

[2] Shuck, B., & Reio Jr, T. G. (2014). Employee engagement and well-being: A moderation model and implications for practice. Journal of Leadership & Organizational Studies, 21(1), 43-58. https://doi.org/10.1177/1548051813494240

[3] Mardani, A., Nikoosokhan, S., Moradi, M., & Doustar, M. (2018). The relationship between knowledge management and innovation performance. The Journal of High Technology Management Research, 29(1), 12-26. https://doi.org/10.1016/j.hitech.2018.04.002

[4] Khalifa, G. (2019). Intervening role of supervisor trust and leader-member exchange: an investigation into the role of supervisor support on employee innovative behaviour. Journal of Association of Arab Universities for Tourism and Hospitality, 17(3), 46-67. https://doi.org/10.21608/JAAUTH.2020.40843.1070

[5] Al-Hanakta, R., Hossain, M. B., Pataki, L., & Dunay, A. (2023). Eco-innovation influence on business performance in Jordanian micro, small and medium enterprises operating in the food processing sector. Plos one, 18(2), e0281664. https://doi.org/10.1371/journal.pone.0281664

[6] Li, L., Chen, L., Yan, J., Xu, C., & Jiang, N. (2023). How does technological opportunism affect firm performance? The mediating role of resource orchestration. Journal of Business Research, 166, 114093. https://doi.org/10.1016/j.jbusres.2023.114093

[7] Garza, R., & Lopez, A. (2020). Measuring innovation culture: a Synthesis of the innovation culture construct and identification of its research clusters. Multidisciplinary Business Review, 13(1), 42-55. https://doi.org/10.35692/07183992.13.1.5

[8] Gorai, J., Kumar, A., & Angadi, G. R. (2024). Smart PLS-SEM modeling: Developing an administrators' perception and attitude scale for apprenticeship programme. Multidisciplinary Science Journal, 6(12), 2024260-2024260. https://10.31893/multiscience.2024260

[9] Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411. https://psycnet.apa.org/doi/10.1037/0033-2909.103.3.411

[10] Apanasovich, N., Heras, H. A., & Parrilli, M. D. (2016). The impact of business innovation modes on SME innovation performance in post-Soviet transition economies: The case of Belarus. Technovation, 57, 30-40. https://doi.org/10.1016/j.technovation.2016.05.001

[11] Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94. https://doi.org/10.1007/BF02723327

[12] Bakar, L. J. A., & Ahmad, H. (2010). Assessing the relationship between firm resources and product innovation performance: A resource‐based view. Business Process Management Journal, 16(3), 420-435. https://doi.org/10.1108/14637151011049430

[13] 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

[14] Bourdeau, S., Aubert, B., & Bareil, C. (2021). The effects of IT use intensity and innovation culture on organizational performance: the mediating role of innovation intensity. Management Research Review, 44(2), 359-380. https://doi.org/10.1108/MRR-02-2020-0068

[15] Büschgens, T., Bausch, A., & Balkin, D. B. (2013). Organizational culture and innovation: A meta‐analytic review. Journal of product innovation management, 30(4), 763-781. https://doi.org/10.1111/jpim.12021

[16] Cabrilo, S., Grubic Nesic, L., & Mitrovic, S. (2014). Study on human capital gaps for effective innovation strategies in the knowledge era. Journal of Intellectual Capital, 15(3), 411-429. https://doi.org/10.1108/JIC-05-2014-0058

[17] Capon, N., Farley, J. U., Lehmann, D. R., & Hulbert, J. M. (1992). Profiles of product innovators among large US manufacturers. Management science, 38(2), 157-169. https://doi.org/10.1287/mnsc.38.2.157

[18] Carvache-Franco, O., Carvache-Franco, M., & Carvache-Franco, W. (2022). Barriers to innovations and innovative performance of companies: a study from Ecuador. Social Sciences, 11(2), 63. https://doi.org/10.3390/socsci11020063

[19] De Jong, J., & Den Hartog, D. (2010). Measuring innovative work behaviour. Creativity and innovation management, 19(1), 23-36. https://doi.org/10.1111/j.1467-8691.2010.00547.x

[20] Dobni, C. B. (2008). Measuring innovation culture in organizations: The development of a generalized innovation culture construct using exploratory factor analysis. European journal of innovation management, 11(4), 539-559. https://doi.org/10.1108/14601060810911156

[21] Kwon, K., Jeong, S., Park, J., & Yoon, S. W. (2024). Employee development and employee engagement: a review and integrated model. Career development international, 29(2), 169-184. https://doi.org/10.1108/CDI-04-2023-0117

[22] 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

[23] Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(1), 7. https://doi.org/10.17705/1CAIS.00407

[24] Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101-107. https://doi.org/10.1093/biomet/61.1.101

[25] Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of management information systems, 18(1), 185-214. https://doi.org/10.1080/07421222.2001.11045669

[26] Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). https://digitalcommons.kennesaw.edu/facbooks2014/39/

[27] Shela, V., Ramayah, T., Aravindan, K. L., Ahmad, N. H., & Alzahrani, A. I. (2023). Run! This road has no ending! A systematic review of PLS-SEM application in strategic management research among developing nations. Heliyon, 9(12). https://doi.org/10.1016/j.heliyon.2023.e22476

[28] Streukens, S., & Leroi-Werelds, S. (2016). Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results. European management journal, 34(6), 618-632. https://doi.org/10.1016/j.emj.2016.06.003

[29] Hameed, W. U., Nisar, Q. A., & Wu, H.-C. (2021). Relationships between external knowledge, internal innovation, firms’ open innovation performance, service innovation and business performance in the Pakistani hotel industry. International journal of hospitality management, 92, 102745. https://doi.org/10.1016/j.ijhm.2020.102745

[30] Rönkkö, M., & Cho, E. (2022). An updated guideline for assessing discriminant validity. Organizational research methods, 25(1), 6-14. https://doi.org/10.1177/1094428120968614

[31] Schellaert, W., Martínez-Plumed, F., & Hernández-Orallo, J. (2025). Analysing the predictability of language model performance. ACM Transactions on Intelligent Systems and Technology, 16(2), 1-26. https://doi.org/10.1145/3706118

[32] Hult, G. T. M., Hurley, R. F., & Knight, G. A. (2004). Innovativeness: Its antecedents and impact on business performance. Industrial marketing management, 33(5), 429-438. https://doi.org/10.1016/j.indmarman.2003.08.015

[33] 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

[34] Joel, O. O., Moses, C. L., Igbinoba, E. E., Olokundun, M. A., Salau, O. P., Ojebola, O., & Adebayo, O. P. (2023). Bolstering the Moderating Effect of Supervisory Innovative Support on Organisational Learning and Employees’ Engagement. Administrative Sciences, 13(3), 81. https://doi.org/10.3390/admsci13030081

[35] Kraus, S., Jones, P., Kailer, N., Weinmann, A., Chaparro-Banegas, N., & Roig-Tierno, N. (2021). Digital transformation: An overview of the current state of the art of research. Sage Open, 11(3), 21582440211047576. https://doi.org/10.1177/21582440211047576

[36] Kumar, B. (2012). Theory of planned behaviour approach to understand the purchasing behaviour for environmentally sustainable products. https://ideas.repec.org/p/iim/iimawp/11469.html

[37] Laosirihongthong, T., Prajogo, D. I., & Adebanjo, D. (2014). The relationships between firm’s strategy, resources and innovation performance: resources-based view perspective. Production Planning & Control, 25(15), 1231-1246. https://doi.org/10.1080/09537287.2013.819593

[38] Li, Z., Liao, G., & Albitar, K. (2020). Does corporate environmental responsibility engagement affect firm value? The mediating role of corporate innovation. Business Strategy and the Environment, 29(3), 1045-1055. https://doi.org/10.1002/bse.2416

[39] Maffini Gomes, C., Kruglianskas, I., & Scherer, F. L. (2009). Company size effect in innovative performance. Journal of technology management & innovation, 4(4), 14-31. http://dx.doi.org/10.4067/S0718-27242009000400002

[40] Mahdi, R., Sukarman, S. S., & Yok, M. C. K. (2015). Fostering creativity through innovation engagement in science and technology education: Case study of Universiti Teknologi MARA students. Procedia-Social and Behavioral Sciences, 167, 256-260. https://doi.org/10.1016/j.sbspro.2014.12.671

[41] Manual, O. (2005). The measurement of scientific and technological activities. Proposed guidelines for collecting an interpreting technological innovation data, 30(162), 385-395.

[42] 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. https://doi.org/10.3390/joitmc7010066

[43] Neely, A., & Hii, J. (1998). Innovation and business performance: a literature review. The Judge Institute of Management Studies, University of Cambridge, 1(57). https://www.researchgate.net/publication/264870158

[44] Noefer, K., Stegmaier, R., Molter, B., & Sonntag, K. (2009). A great many things to do and not a minute to spare: Can feedback from supervisors moderate the relationship between skill variety, time pressure, and employees' innovative behavior? Creativity Research Journal, 21(4), 384-393. https://doi.org/10.1080/10400410903297964

[45] Oke, A. (2013). Linking manufacturing flexibility to innovation performance in manufacturing plants. International Journal of Production Economics, 143(2), 242-247. https://doi.org/10.1016/j.ijpe.2011.09.014

[46] Pai, P., Tsai, H.-T., & Zhong, J.-Y. (2022). Enhancing IT industry employees’ service innovation performance: Antecedents and outcomes of service innovation engagement. European Journal of Marketing, 56(8), 2455-2483. https://doi.org/10.1108/EJM-11-2020-0842

[47] Pattnaik, S. C., & Panda, N. (2020). Supervisor support, work engagement and turnover intentions: evidence from Indian call centres. Journal of Asia Business Studies, 14(5), 621-635. https://doi.org/10.1108/JABS-08-2019-0261

[48] Peeters, M. C., Buunk, B. P., & Schaufeli, W. B. (1995). Social interactions, stressful events and negative affect at work: A micro‐analytic approach. European Journal of Social Psychology, 25(4), 391-401. https://doi.org/10.1002/ejsp.2420250404

[49] Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879. https://psycnet.apa.org/buy/2003-08045-010

[50] Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual review of psychology, 63(1), 539-569. https://doi.org/10.1146/annurev-psych-120710-100452

[51] Ramdan, M. R., Abd Aziz, N. A., Abdullah, N. L., Samsudin, N., Singh, G. S. V., Zakaria, T., Fuzi, N. M., & Ong, S. Y. Y. (2022). SMEs performance in Malaysia: The role of contextual ambidexterity in innovation culture and performance. Sustainability, 14(3), 1679. https://doi.org/10.3390/su14031679

[52] Rao, V. (2016). Innovation through employee engagement. Asia Pacific Journal of Advanced Business and Social Studies, 2(2), 337-345. https://apiarpublications.com/wp-content/uploads/2016/05/APCAR_BRR710_BUS1-9.pdf

[53] Ratnawati, Soetjipto, B. E., Murwani, F. D., & Wahyono, H. (2018). The role of SMEs’ innovation and learning orientation in mediating the effect of CSR programme on SMEs’ performance and competitive advantage. Global Business Review, 19(3_suppl), S21-S38. https://doi.org/10.1177/0972150918757842

[54] Rb, K. (2011). Principles and practice of structural equation modeling. In. https://cir.nii.ac.jp/crid/1370285712542985862

[55] Ringle, C., Da Silva, D., & Bido, D. (2015). Structural equation modeling with the SmartPLS. Bido, D., da Silva, D., & Ringle, C. (2014). Structural Equation Modeling with the Smartpls. Brazilian Journal of Marketing, 13(2). https://ssrn.com/abstract=2676422

[56] Hammer, L. B., Dimoff, J., Mohr, C. D., & Allen, S. J. (2024). A framework for protecting and promoting employee mental health through supervisor supportive behaviors. Occupational health science, 8(2), 243-268. https://doi.org/10.1007/s41542-023-00171-x

[57] Sanyal, M. K., Biswas, S. B., & Ghosh, R. (2016). Implication of Performance Appraisal process on Employee Engagement Mediated Through the Development and Innovation Oriented Culture: A Study on the Software Professionals of IT Companies in West Bengal. Proceedings of the First International Conference on Intelligent Computing and Communication, 277-294. https://doi.org/10.1007/978-981-10-2035-3_29

[58] Schaufeli, W. B. (2010). Defining and measuring work engagement: Bringing clarity to the concept. Work engagement: Recent developments in theory and research, 10-24. https://cir.nii.ac.jp/crid/1570009751090291328

[59] Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006). The measurement of work engagement with a short questionnaire: A cross-national study. Educational and psychological measurement, 66(4), 701-716. https://doi.org/10.1177/0013164405282471

[60] Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. john wiley & sons. https://management.njit.edu/sites/management/files/MGMT%20316-002%20%20Casal.pdf

[61] Spector, P. E. (2006). Method variance in organizational research: truth or urban legend? Organizational research methods, 9(2), 221-232. https://doi.org/10.1177/1094428105284955

[62] Srinivasan, R., Lilien, G. L., & Rangaswamy, A. (2002). Technological opportunism and radical technology adoption: An application to e-business. Journal of marketing, 66(3), 47-60. https://doi.org/10.1509/jmkg.66.3.47.18508

[63] Stone, M. (1977). An asymptotic equivalence of choice of model by cross‐validation and Akaike's criterion. Journal of the Royal Statistical Society: Series B (Methodological), 39(1), 44-47. https://doi.org/10.1111/j.2517-6161.1977.tb01603.x

[64] Okatta, C. G., Ajayi, F. A., & Olawale, O. (2024). Enhancing organizational performance through diversity and inclusion initiatives: a meta-analysis. International Journal of Applied Research in Social Sciences, 6(4), 734-758. https://doi.org/10.51594/ijarss.v6i4.1065

[65] Teo, T. S., Srivastava, S. C., & Jiang, L. (2008). Trust and electronic government success: An empirical study. Journal of management information systems, 25(3), 99-132. https://doi.org/10.2753/MIS0742-1222250303

[66] Valaei, N., Rezaei, S., Bressolles, G., & Dent, M. M. (2022). Indispensable components of creativity, innovation, and FMCG companies' competitive performance: a resource-based view (RBV) of the firm. Asia-Pacific Journal of Business Administration, 14(1), 1-26. https://doi.org/10.1108/APJBA-11-2020-0420

[67] Van Zyl, L. E., Van Oort, A., Rispens, S., & Olckers, C. (2021). Work engagement and task performance within a global Dutch ICT-consulting firm: The mediating role of innovative work behaviors. Current Psychology, 40(8), 4012-4023. https://doi.org/10.1007/s12144-019-00339-1

[68] Viswanathan, M., & Kayande, U. (2012). Commentary on “common method bias in marketing: Causes, mechanisms, and procedural remedies”. Journal of Retailing, 88(4), 556-562. https://doi.org/10.1016/j.jretai.2012.10.002

[69] Voola, R., Casimir, G., Carlson, J., & Anushree Agnihotri, M. (2012). The effects of market orientation, technological opportunism, and e-business adoption on performance: A moderated mediation analysis. Australasian Marketing Journal, 20(2), 136-146. https://doi.org/10.1016/j.ausmj.2011.10.001

[70] Wang, F., Wong, W.-K., Wang, Z., Albasher, G., Alsultan, N., & Fatemah, A. (2023). Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions. Resources Policy, 85, 103747. https://doi.org/10.1016/j.resourpol.2023.103747

[71] West, M. A., & Richter, A. W. (2024). Climates and cultures for innovation and creativity at work. In Handbook of organizational creativity (pp. 211-236). Psychology Press. https://doi.org/10.4324/9781003573326

[72] Wilson, G. A. (2022). 3 ways for businesses to fuel innovation and drive performance. https://theconversation.com/3-ways-for-businesses-to-fuel-innovation-and-drive-performance-174276

[73] Yahya, F., Abbas, G., Ahmed, A., & Hashmi, M. S. (2020). Restrictive and supportive mechanisms for female directors’ risk-averse behavior: evidence from South Asian health care industry. Sage Open, 10(4), 2158244020962777. https://doi.org/10.1177/2158244020962777

[74] Yu, K., Song, J., Yoon, S., & Kim, J. (2014). Learning organization and innovative behavior. European Journal of Training and Development, 38(1), 75-94. https://doi.org/10.1108/EJTD-04-2013-0040

[75] Yuniarty, Y., So, I. G., Abdinagoro, S. B., & Hamsal, M. (2022). Impact of the Extended Digital Eco-Dynamic on Innovation Performance: An Empirical Study on Small E-Businesses in Indonesia. Frontiers in psychology, 13, 864530. https://doi.org/10.3389/fpsyg.2022.864530

[76] Zhang, Y., Khan, U., Lee, S., & Salik, M. (2019). The influence of management innovation and technological innovation on organization performance. A mediating role of sustainability. Sustainability, 11(2), 495. https://doi.org/10.3390/su11020495