Strategic IT Demand Management for Business and Innovation Organization


  • Ronnasak Wongverawatanakul Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand
  • Adisorn Leelasantitham Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand



Strategic Orientation, Entrepreneurial Orientation, Technology Orientation, IT Demand, Innovation Organization, Organizational Performance


Strategic IT demand plays a crucial role in the success of any business. This process requires an in-depth understanding of the organizational strategy level by senior management and management at various levels. This abstract describes the importance of IT Demand Management to the strategic planning of organizations’ information technology innovations where management at all levels are involved in thinking, analyzing, and deciding every important IT investment that it can contribute to business success. This abstract presents a conceptual model, the relationship between EO and TO strategies, and ITDM processes to meet the needs of Optimization of OP that aims to become Innovation Organizations. This result is obtained through a survey study of 50 companies. Samples were management at different levels as the survey can confirm that the ITDM process is an important part of what management needs to know, understand and it can be used as a decision-making tool in organizations’strategic planning as well as it can create a process to become good governance. It can be able to drive and support the IT needs of customers and organizations for the success of the business in the future, truly. Moreover, this concept can be applied in several business areas or industries such as Banking, Energy, Mobile technology, or Telecommunication business.


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Author Biographies

Ronnasak Wongverawatanakul, Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand

Ronnasak Wongverawatanakul is a Ph.D. student at IT Management Division, Faculty of Engineering, Mahidol University, Bangkok, Thailand. He received the master’s degree in Information Technology Management from University of Sunderland, United Kingdom in 2005 and the bachelor’s degree in Business Computer from Sripatum University, Thailand in 2002. He is specialist Project management and currently his position as a Project manager at the PTT Digital, Bangkok. Research field, he has interested in Strategic IT, IT Demand Management and Data Governance.

Adisorn Leelasantitham, Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand

Adisorn Leelasantitham (Ph.D.) received the B.Eng. degree in Electronics and Telecommunications and the M.Eng. degree in Electrical Engineering from King Mongkut’s University of Technology Thonburi (KMUTT), Thailand, in 1997 and 1999, respectively. He received his Ph.D. degree in Electrical Engineering from Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand, in 2005. He is currently the Associate Professor in Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand. His research interests include applications of blockchain technology, conceptual models and frameworks for IT management, disruptive innovation, image processing, AI, neural networks, machine learning, IoT platforms, data analytics, chaos systems, and healthcare IT. He is a member of the IEEE.


Altamony, H., Alshurideh, M., and Obeidat, B. (2012, May). Information systems for competitive advantage: Implementation of an organisational strategic management process. In Proceedings of the 18th IBIMA conference on innovation and sustainable economic competitive advantage: From regional development to world economic, Istanbul, Turkey, 9th–10th May.

Cramm, S. (2006). Maturing Your Demand Management Practices. Valudance, Counting in Technology.

Ellis, P. D. (2006). Market orientation and performance: A meta-analysis and cross-national comparisons. Journal of Management Studies, 43(5), 1089–1107.

Hakala, H. (2011). Strategic orientations in management literature: Three approaches to understanding the interaction between market, technology, entrepreneurial and learning orientations. International Journal of Management Reviews, 13(2), 199–217.

Zhou, K. Z., and Li, C. B. (2010). How strategic orientations influence the building of dynamic capability in emerging economies. Journal of Business Research, 63(3), 224–231.

Columbus, L. (2020). The Most Innovative Companies Of 2020 According To BCG.

Jeong, I., Pae, J. H., and Zhou, D. (2006). Antecedents and consequences of the strategic orientations in new product development: The case of Chinese manufacturers. Industrial Marketing Management, 35(3), 348–358.

Viney, H. and Narain, C. and Kanchanok, B. and Sakolsri S. and Chananya, B. (2020). Thailand Digital Transformation Survey Report 2020.

Galbraith, J. R. (2002). Organizing to deliver solutions. Organizational dynamics, 31(2), 194.

Alonso, I. A., Verdún, J. C., and Caro, E. T. (2013). Case study of strategic IT demand management in organizations–exploratory results. Procedia Technology, 9, 900–909.

Al-Ansaari, Y., Bederr, H., and Chen, C. (2015). Strategic orientation and business performance: An empirical study in the UAE context. Management Decision.

Alonso, I. A., Verdún, J. C., and Caro, E. T. (2017). Description of the structure of the IT demand management process framework. International Journal of Information Management, 37(1), 1461–1473.

Kohli, A. K., and Jaworski, B. J. (1990). Market orientation: the construct, research propositions, and managerial implications. Journal of marketing, 54(2), 1–18.

Gimenez, F. A. (1999, June). Miles and Snow’s strategy model in the context of small firms. In Proceedings of the 1999 ICSB Naples conference (pp. 1–14).

Joshi, A. W., and Sharma, S. (2004). Customer knowledge development: antecedents and impact on new product performance. Journal of marketing, 68(4), 47–59.

Dess, G. G., Pinkham, B. C., and Yang, H. (2011). Entrepreneurial orientation: Assessing the construct’s validity and addressing some of its implications for research in the areas of family business and organizational learning. Entrepreneurship Theory and Practice, 35(5), 1077–1090.

Cássia, A. D. R., and Zilber, S. N. (2016). Strategic orientation and innovative activities: an analysis using the PINTEC data from 1998 to 2011. Gestão & Produção, 23(3), 447–458.

Covin, J. G., and Slevin, D. P. (1989). Strategic management of small firms in hostile and benign environments. Strategic management journal, 10(1), 75–87.

Salojärvi, H., Ritala, P., Sainio, L. M., and Saarenketo, S. (2015). Synergistic effect of technology and customer relationship orientations: consequences for market performance. Journal of Business & Industrial Marketing.

Covin, J. G., and Slevin, D. P. (1991). A conceptual model of entrepreneurship as firm behavior. Entrepreneurship theory and practice, 16(1), 7–26.

Güngör, D. Ö., and Gözlü, S. (2012). Influencing factors of innovation for Turkish companies. International Journal of Quality and Service Sciences.

Vlckova, V., and Patak, M. (2010, May). Role of demand planning in business process management. In The 6th International Scientific Conference Business and Management (pp. 1119–1126).

Miller, D. (1983). The correlates of entrepreneurship in three types of firms. Management science, 29(7), 770–791.

Wang, D., and Chen, S. (2013). Does intellectual capital matter? High-performance work systems and bilateral innovative capabilities. International Journal of Manpower, 34(8), 861–879.

Zehir, C., Can, E., and Karaboga, T. (2015). Linking entrepreneurial orientation to firm performance: the role of differentiation strategy and innovation performance. Procedia-Social and Behavioral Sciences, 210, 358–367.

Tsering, C. (2016). The mediating role of entrepreneurial orientation in the market orientation-performance relationship. In United States Association for Small Business and Entrepreneurship. Conference Proceedings (p. DQ1). United States Association for Small Business and Entrepreneurship.

Real, J. C., Roldán, J. L., and Leal, A. (2014). From entrepreneurial orientation and learning orientation to business performance: analyzing the mediating role of organizational learning and the moderating effects of organizational size. British Journal of Management, 25(2), 186–208.

Zehir, C., Can, E., and Karaboga, T. (2015). Linking entrepreneurial orientation to firm performance: the role of differentiation strategy and innovation performance. Procedia-Social and Behavioral Sciences, 210, 358–367.

Etemad, H. (2015). Entrepreneurial orientation-performance relationship in the international context. Journal of International Entrepreneurship, 13(1), 1–6.

Masa’deh, R. E. M. (2013). The impact of information technology infrastructure flexibility on firm performance: An empirical study of Jordanian public shareholding firms. Jordan Journal of Business Administration, 153(954), 1–42.

Thomason, D. (2004). Strategic, tactical, operational [demand management]. Manufacturing Engineer, 83(3), 34–37.

Xiang, Y., Wu, X., and Hu, B. (2008, September). Strategic alignment methods based on demands classification of information technology. In 2008 IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE) (pp. 1–5). IEEE.

Al-Ansari, Y., Altalib, M., and Sardoh, M. (2013). Technology orientation, innovation and business performance: A study of Dubai SMEs. The International Technology Management Review, 3(1), 1–11.

Fornell, C. and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 1:39–50.

Alonso, I. A., Verdún, J. C., and Caro, E. T. (2009). IT, senior executives and board of directors contribute to the success of the business: implicates on the itdemand process – life cycle. In ICCIT 2009 – 4th international conference oncomputer sciences and convergence information technology, 149–156. Alonso, I. A., Verdún, J. C., and Caro, E. T. (2010a).

Mu, J., and Di Benedetto, C. A. (2011). Strategic orientations and new product commercialization: mediator, moderator, and interplay. R&D Management, 41(4), 337–359.

Ringle, C. M., Wende, S., and Becker, J. M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH.

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295–336.

Hair, J. F. (Jr.), Hult, G. T. M., Ringle, C. M. and Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd edn. Sage Publications, California, CA.

Jattamart, A., and Leelasantitham, A. (2019). The influence of social media lifestyle interventions on health behaviour: A study on patients with major depressive disorders and family caregivers. The Open Public Health Journal, 12(1).

Jattamart, A., and Leelasantitham, A. (2020). Perspectives to social media usage of depressed patients and caregivers affecting to change the health behavior of patients in terms of information and perceived privacy risks. Heliyon, 6(6), e04244.

Jattamart, A., and Kwangsawad, A. (2021). What awareness variables are associated with motivati40on for changing risky behaviors to prevent recurring victims of cyberbullying?. Heliyon, 7(10), e08121.

Phaosathianphan, N., and Leelasantitham, A. (2019). Understanding the adoption factors influence on the use of intelligent travel assistant (ITA) for eco-tourists: an extension of the UTAUT. International Journal of Innovation and Technology Management, 16(08), 1950060.

Phaosathianphan, N., and Leelasantitham, A. (2020). A plenary free individual traveler life cycle for assessment of adoption intelligent travel assistant. Heliyon, 6(7), e04428.

Phaosathianphan, N., and Leelasantitham, A. (2021). An intelligent travel technology assessment model for destination impacts of tourist adoption. Tourism Management Perspectives, 40, 100882.

Petcharat, T., and Leelasantitham, A. (2021). A retentive consumer behavior assessment model of the online purchase decision-making process. Heliyon, 7(10), e08169.






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