SALES STRATEGY OPTIMIZATION IN TECHNOLOGY FIRMS: BALANCING EXISTING REVENUE STREAMS WITH NEW MARKET OPPORTUNITIES
DOI:
https://doi.org/10.5281/zenodo.19603306Keywords:
Sales Strategy Optimization; Existing Revenue Streams; New Market Expansion; Technology Firms; Revenue Diversification;Abstract
In the contemporary technology-driven business landscape, firms face increasing strategic pressure to sustain existing revenue streams while simultaneously identifying and capitalizing on emerging market opportunities. This study examines the effectiveness of integrated sales strategy optimization frameworks in enhancing organizational sales performance by balancing exploitation of legacy revenue sources with exploration of new market domains. Employing a quantitative analytical approach, the study evaluates the influence of Existing Revenue Optimization (ERO), New Market Expansion Capability (NMEC), Market Opportunity Index (MOI), Sales Resource Allocation Efficiency (SRAE), Digital Sales Infrastructure Index (DSII), and Customer Relationship Management Effectiveness (CRME) on the Sales Performance Index (SPI). The results reveal that firms adopting balanced sales strategies supported by digital enablement and efficient resource distribution demonstrate significantly improved revenue diversification and performance outcomes compared to firms focused exclusively on either legacy optimization or innovation-driven expansion. Furthermore, the findings highlight the synergistic role of customer relationship management and analytics-driven sales infrastructure in facilitating sustainable market growth. The study underscores the strategic importance of adopting integrated and data-driven sales frameworks to ensure financial stability, competitive advantage, and long-term resilience in dynamic technology markets.
References
Addison, D. P., Lingham, T., Uslay, C., & Lee, O. F. (2017). An entrepreneurial relationship marketing approach to B2B selling: The case for intellectual capital sharing. Journal of Research in Marketing and Entrepreneurship, 19(1), 2-25.
Adewusi, A. O., Okoli, U. I., Adaga, E., Olorunsogo, T., Asuzu, O. F., & Daraojimba, D. O. (2024). Business intelligence in the era of big data: A review of analytical tools and competitive advantage. Computer Science & IT Research Journal, 5(2), 415-431.
Ahmad, T., Boit, J., & Aakula, A. (2023). The role of cross-functional collaboration in digital transformation. Journal of Computational Intelligence and Robotics, 3(1), 205-42.
Akinrinoye, O. V., Kufile, O. T., Otokiti, B. O., Ejike, O. G., Umezurike, S. A., & Onifade, A. Y. (2020). Customer segmentation strategies in emerging markets: a review of tools, models, and applications. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 6(1), 194-217.
Alonge, E. O., Eyo-Udo, N. L., Chibunna, B. R. I. G. H. T., Ubanadu, A. I. D., Balogun, E. D., & Ogunsola, K. O. (2024). A predictive analytics model for optimizing cash flow management in multi-location and global business enterprises. Journal details pending.
Ascanio, G. A. (2024). Material performance and longevity in luxury kitchens: Architectural approaches to durability and use. Journal of International Crisis and Risk Communication Research, 7(S9), 3575–3584.
Baumgartner, R. J., & Rauter, R. (2017). Strategic perspectives of corporate sustainability management to develop a sustainable organization. Journal of Cleaner Production, 140, 81-92.
Bicen, P., & Johnson, W. H. (2015). Radical innovation with limited resources in high?turbulent markets: the role of lean innovation capability. Creativity and Innovation Management, 24(2), 278-299.
Celestin, M. (2018). Predictive analytics in strategic cost management: How companies use data to optimize pricing and operational efficiency. Brainae Journal of Business, Sciences and Technology (BJBST), 2(6), 706-717.
Chhibber, R. (2024). Enterprise sales strategy development through value-based solution selling. Journal of Information Systems Engineering and Management, 9(2),1-10.
Choi, K., Narasimhan, R., & Kim, S. W. (2016). Opening the technological innovation black box: The case of the electronics industry in Korea. European Journal of Operational Research, 250(1), 192-203.
Classen, M., & Friedli, T. (2022). Eight organizational enablers of digital service-sales ambidexterity in industrial firms. Journal of Business & Industrial Marketing, 37(11), 2142-2155.
Darteh, F. K. (2024). Internal control systems and their effect on expenditure reporting accuracy. Journal of International Crisis and Risk Communication Research, 7(S6), 2635–2643.
Das, G., Jain, S. P., Maheswaran, D., Slotegraaf, R. J., & Srinivasan, R. (2021). Pandemics and marketing: Insights, impacts, and research opportunities. Journal of the Academy of Marketing Science, 49(5), 835-854.
Eggers, J. P., & Park, K. F. (2018). Incumbent adaptation to technological change: The past, present, and future of research on heterogeneous incumbent response. Academy of Management Annals, 12(1), 357-389.
Gawankar, S. A., Gunasekaran, A., & Kamble, S. (2020). A study on investments in the big data-driven supply chain, performance measures and organisational performance in Indian retail 4.0 context. International journal of production research, 58(5), 1574-1593.
Gu, J. W., & Jung, H. W. (2013). The effects of IS resources, capabilities, and qualities on organizational performance: An integrated approach. Information & Management, 50(2-3), 87-97.
Haffar, M., & Searcy, C. (2017). Classification of trade-offs encountered in the practice of corporate sustainability. Journal of business ethics, 140(3), 495-522.
Hansen, E. G., Wicki, S., & Schaltegger, S. (2019). Structural ambidexterity, transition processes, and integration trade?offs: a longitudinal study of failed exploration. R&d Management, 49(4), 484-508.
Hodbod, J., & Eakin, H. (2015). Adapting a social-ecological resilience framework for food systems. Journal of Environmental Studies and Sciences, 5(3), 474-484.
Imediegwu, C. C., & Elebe, O. (2022). Customer profitability optimization model using predictive analytics in US-Nigerian financial ecosystems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 8(5), 476-497.
Kejriwal, A. (2024). Compliance frameworks for investment restrictions in corporate portfolios. Sarcouncil Journal of Economics and Business Management, 3(4), 10–18.
Lindström, C. W. J., Maleki Vishkaei, B., & De Giovanni, P. (2024). Subscription-based business models in the context of tech firms: theory and applications. International Journal of Industrial Engineering and Operations Management, 6(3), 256-274.
Nansubuga, B., & Kowalkowski, C. (2024). Moving to subscriptions: service growth through business model innovation in consumer and business markets. Journal of Service Management, 35(6), 185-215.
Oyeyipo, I., Attipoe, V., Mayienga, B. A., Onwuzulike, O. C., Ayodeji, D. C., Nwaozomudoh, M. O., ... & Ahmadu, J. (2023). A conceptual framework for transforming corporate finance through strategic growth, profitability, and risk optimization. International Journal of Advanced Multidisciplinary Research and Studies, 3(5), 1527-1538.
Rahman, M. M. (2024). Data-Driven Decision-Making Through Customer Relationship Management: A Systematic Literature Review In Modern Enterprises. American Journal of Advanced Technology and Engineering Solutions, 4(03), 30-59.
Rubera, G., Chandrasekaran, D., & Ordanini, A. (2016). Open innovation, product portfolio innovativeness and firm performance: the dual role of new product development capabilities. Journal of the Academy of Marketing Science, 44(2), 166-184.
Sakyi, J. K., Nnabueze, S. B., Filani, O. M., Okojie, J. S., & Okereke, M. (2022). Customer service analytics as a strategic driver of revenue growth and sustainable business competitiveness. Journal of Frontiers in Multidisciplinary Research, 3(2), 109-123.
Senna, P. P., Almeida, A. H., Barros, A. C., Bessa, R. J., & Azevedo, A. L. (2020). Architecture model for a holistic and interoperable digital energy management platform. Procedia Manufacturing, 51, 1117-1124.
Shuen, A., Feiler, P. F., & Teece, D. J. (2014). Dynamic capabilities in the upstream oil and gas sector: Managing next generation competition. Energy Strategy Reviews, 3, 5-13.
Smuts, H., Weilbach, L., Padachi, K., Boolaky, A., Mauree-Narrainen, D., Ramphul, N., & Chittoo, H. (2024). Harnessing disruptive innovation: A conceptual model for SME growth and adaptation. Businesses, 4(4), 738-764.
Yeow, A., Soh, C., & Hansen, R. (2018). Aligning with new digital strategy: A dynamic capabilities approach. The Journal of Strategic Information Systems, 27(1), 43-58.
Zhang, G., Wang, X., Xie, J., & Hu, Q. (2024). A mechanistic study of enterprise digital intelligence transformation, innovation resilience, and firm performance. Systems, 12(6), 186.
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