Journal of Entrepreneurship Research

Journal of Entrepreneurship Research

Investigating the Effect of Marketing Intelligence on Technological Entrepreneurship with Mediating Role of Business Intelligence in Azaam Auto Parts Group

Document Type : Research Article

Authors
1 Department of Business Management, Shamim Danesh Novin Institute of Higher Education, Ardabil, Iran.
2 Department of Business Management, Faculty of Economics and Management, Urmia University, Urmia, Iran.
3 Department of Business Management, Faculty of Social Science, University of Mohaghegh Ardabili, Ardabil, Iran.
4 Department of Management and Economics, Training Center of Ardabil Industrial Management Organization, Ardabil, Iran.
Abstract
Due to the atmosphere of global competition and the changes and transformations that are rapidly occurring in today's world, companies create the conditions for technological entrepreneurship to secure their survival. In the meantime, companies that can develop the business intelligence of their employees, especially in the marketing and sales units, the key units of every company, and can create a kind of coordination and integration between the main units will be successful. Therefore, this research aims to investigate the impact of marketing intelligence on technological entrepreneurship with the mediating role of business intelligence. The research is an applied study in goal and a descriptive and correlational study in methodology. The statistical population of the research is all the Azaam Auto Parts Group (AAPG) employees, numbering 630 people. The sample size was determined to be 242 using Morgan's table. They were selected based on the stratified random sampling method. A standard questionnaire was used to measure the variables. The validity of the questionnaire was determined by diagnostic, convergent, and divergent validity, and its reliability was evaluated with Cronbach's alpha coefficient. The research model was tested using structural equation modeling in LISREL software. The results showed that marketing intelligence significantly affected technological entrepreneurship and business intelligence in the AAPG. Also, the positive and significant relationship between business intelligence and technological entrepreneurship was confirmed. Finally, marketing intelligence and technological entrepreneurship intensify by the variable of business intelligence. If business intelligence increases, the effect becomes stronger, and if it decreases, this relationship becomes weaker.
Keywords

 
Alsos, G. A., Clausen, T. H., Mauer, R., Read, S., & Sarasvathy, S. D. (2018). Investigating the Relationship between Marketing Intelligence and Entrepreneurship. Small Business Economics, 1-15.
Azoff, M. (2020). The New business intelligence. A European Perspective, Butler Group, White Paper.
Baars, S., Matt, C., & Hess, T. (2018). Understanding User Uncertainty during the Implementation of Self-Service Business Intelligence: A Thematic Analysis. In Proceedings of the 52nd Hawaii International Conference on System Sciences.
Chen, I. J. (2021). Planning for ERP systems: Analysis and future management needs trends. Business Process Management Journal, 7(5), 374 – 386.
Enginoglu, D., & Arikan, C.L. (2016). Creating a corporate entrepreneurship strategy competitive advantage, Internaytional Review of Economics and Management, 4(1): 14-28.
Foshay, N., & Kuziemsky, C. (2022). Towards an implementation framework for business intelligence in healthcare. International Journal of Information Management, 34(1), 20-27.
Hudson. S., Roth, M, S., Madden, T.J. & Hudson, R. (2021). The effects of social media on emotions quality relationship brand and word of mouth. An empirical study of music festival attendees. Tourism management, 48, 68-76.
Jordan, J., Vidal, M., & Barros, R. H. (2018). Computational business intelligence, big data, and their role in business decisions in the age of the internet of things. In Web Services: Concepts, Methodologies, Tools, and Applications (pp. 1048-1067). IGI Global.
Kanwal, S. & Singh, G. (2017). The role of marketing intelligence in brand and positioning. Journal of Cases Information Technology, 19(1), 24-39.
Kooper, A., Puklavec, B., & Oliveira, T. (2022). Justifying business intelligence systems adoption in SMEs: Impact of systems use on firm performance. Industrial Management & Data Systems, 119(1), 210-228.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3), 607-610.
Kuratko, D. & Hdgetts, R. (2017). Entrepreneurship: Theory, Process, Practice. 7th ed. Thomson South-Western: Louseville, Quebec, Canada.
Lönnqvist, R., Mendonça, A., Ferreira, D. L. A., Peixoto, H., & Machado, J. (2016). Business Intelligence for Nutrition Therapy. In Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications (pp. 459-474). IGI Global.
Negash, G., Al-Aqrabi, H., Lane, P., & Aagela, H. (2020). Securing Manufacturing Business Intelligence for the Industrial Internet of Things. In Fourth International Congress on Information and Communication Technology (p. 174). Springer Verlag.
Ning Shen, K., Lindsay, V., &Xu, Y. (2018). Digital entrepreneurship, Information and Innovation. South Western, Thomson Publishers.
Oganisjana, K., Koke, T., Rahman, S., Fernate A., & Rutka, L. (2020). The development of entrepreneurship in interdisciplinary study environment: first achievements, hindrances and perspectives. International Journal of usiness and Socitey.15(3):447–64.
Prodan, I. (2019). A model of technological entrepreneurship. Handbook of
research on Techno-Entrepreneurship, Edwars Elgar Publishing, Inc.
Rakthin, S., Calantone, R. J., & Wang, J. F. (2016). Managing market intelligence: the comparative role of absorptive capacity and market orientation. Journal of Business Research, 69(12), 5569-5577.
Rehan, F., Block, J. H., & Fisch, C. (2018). Investigating the Relationship between Marketing Intelligence and Entrepreneurship. Journal of Enterprising Communities: People and Places in the Global Economy, Forthcoming.
Roglaski, S. (2022). Business Intelligence: 360° insight: The intelligence challenge. DM Review Magazine.
Siegel, S.D., Wright, Mike. & Lokett A. (2017). The rise of entrepreneurial
activity at universities: organizational and societal implication. Industrial
and Corporate cChange
, 16(4): 489-504
Turban, E., Sharda, R. & Delen, D. (2019). Decision support and business intelligence systems. 9th ed., NJ: Prentice Hall Press.
Venkataraman, S. (2019). Applying Marketing Intelligence to Improve Business Environment: Investigating Factors and Modeling (pp. 5-20). Emerald Publishing Limited.
Wieder, B., & Ossimitz, M. L. (2021). The impact of Business Intelligence on the quality of decision making–a mediation model. Procedia Computer Science, 64, 1163-1171.         
Yeoh, G., Yeoh, W., Chong, A. Y. L., & Popovič, A. (2016). Business intelligence effectiveness and corporate performance management: an empirical analysis. Journal of Computer Information Systems, 59(2), 188-196.
 
 
 
 
 

  • Receive Date 05 May 2023
  • Revise Date 15 August 2023
  • Accept Date 20 August 2023