Home / Current Issue / Paper 1708525
A Conceptual Framework for Strategic Business Planning in Digitally Transformed Organizations
Subject area: Science,Engineering and Technology · Area of research: Strategic Business Planning
Abstract
In the rapidly evolving digital era, organizations are compelled to reassess and redefine their strategic business planning approaches to remain competitive and sustainable. Traditional planning methods are increasingly insufficient in addressing the complexities, uncertainties, and technological disruptions of the modern business environment. This paper presents a conceptual framework for strategic business planning tailored to digitally transformed organizations. The framework integrates key elements of digital transformation?such as data-driven decision-making, agile methodologies, automation, and customer-centricity?into the strategic planning process. It emphasizes the alignment of digital capabilities with organizational vision, mission, and long-term objectives. The proposed framework comprises five interconnected components: (1) Environmental Scanning and Digital Readiness Assessment, (2) Vision and Goal Reconfiguration for Digital Alignment, (3) Strategic Capability Mapping and Resource Optimization, (4) Dynamic Implementation with Agile and Iterative Feedback Loops, and (5) Performance Monitoring through Real-Time Analytics and KPIs. These components are designed to support continuous adaptation, foster innovation, and enhance stakeholder engagement across all organizational levels. The framework is rooted in both theoretical constructs and practical insights, drawing from recent advances in strategic management, digital innovation, and enterprise architecture. By adopting this conceptual model, organizations can navigate the digital landscape more effectively, anticipate market shifts, and respond with agility. The paper further explores the implications of this framework for decision-makers and strategic planners, highlighting the importance of leadership, change management, and cross-functional collaboration. It advocates for a paradigm shift from static, linear planning to an adaptive, learning-oriented approach that is deeply embedded in the organization's digital ecosystem. Ultimately, this study contributes to the strategic management literature by bridging the gap between digital transformation and strategic planning. It offers a robust, flexible structure that can be tailored across various industries and organizational scales, ensuring strategic coherence in a volatile, uncertain, complex, and ambiguous (VUCA) world. Future research is recommended to empirically validate the framework and assess its impact on organizational performance and innovation outcomes.
Keywords
Strategic Business Planning, Digital Transformation, Agile Strategy, Organizational Innovation, Conceptual Framework, Data-Driven Decision-Making, Enterprise Architecture, Digital Readiness, Performance Monitoring, VUCA Environment.
References
[1] Aarons, G., Seijo, C., Green, A., Moullin, J., Hasson, H., Schwarz, U., … & Willging, C. (2019). Fostering international collaboration in implementation science and research: a concept mapping exploratory study. BMC Research Notes, 12(1). https://doi.org/10.1186/s13104-019-4800-4
[2] Akman, G. and Yılmaz, C. (2008). Innovative capability, innovation strategy and market orientation: an empirical analysis in turkish software industry. International Journal of Innovation Management, 12(01), 69-111. https://doi.org/10.1142/s1363919608001923
[3] AL-Shboul, M. (2018). Towards better understanding of determinants logistical factors in smes for cloud erp adoption in developing economies. Business Process Management Journal, 25(5), 887-907. https://doi.org/10.1108/bpmj-01-2018-0004
[4] Ansoff, H. (1980). Strategic issue management. Strategic Management Journal, 1(2), 131-148. https://doi.org/10.1002/smj.4250010204
[5] Badakhshan, P., Conboy, K., Grisold, T., & Brocke, J. (2019). Agile business process management. Business Process Management Journal, 26(6), 1505-1523. https://doi.org/10.1108/bpmj-12-2018-0347
[6] Bechini, A., Cimino, M., Marcelloni, F., & Tomasi, A. (2008). Patterns and technologies for enabling supply chain traceability through collaborative e-business. Information and Software Technology, 50(4), 342-359. https://doi.org/10.1016/j.infsof.2007.02.017
[7] Bott, M. and Mesmer, B. (2019). Agent-based simulation of hardware-intensive design teams using the function–behavior–structure framework. Systems, 7(3), 37. https://doi.org/10.3390/systems7030037
[8] Bumann, J., & Peter, M. (2019). Action fields of digital transformation–a review and comparative analysis of digital transformation maturity models and frameworks. Digitalisierung und andere Innovationsformen im Management, 2(November), 13-40.
[9] Carrión, A., Caballer, M., Blanquer, I., Kotowski, N., Jardim, R., & Dávila, A. (2017). Managing workflows on top of a cloud computing orchestrator for using heterogeneous environments on e-science. International Journal of Web and Grid Services, 13(4), 375. https://doi.org/10.1504/ijwgs.2017.087326
[10] Clercq, D., Thongpapanl, N., & Dimov, D. (2011). A closer look at cross‐functional collaboration and product innovativeness: contingency effects of structural and relational context. Journal of Product Innovation Management, 28(5), 680-697. https://doi.org/10.1111/j.1540-5885.2011.00830.x
[11] Dumay, J. and Dai, T. (2017). Integrated thinking as a cultural control?. Meditari Accountancy Research, 25(4), 574-604. https://doi.org/10.1108/medar-07-2016-0067
[12] Dutta, A., Peng, G., & Choudhary, A. (2013). Risks in enterprise cloud computing: the perspective of it experts. Journal of Computer Information Systems, 53(4), 39-48. https://doi.org/10.1080/08874417.2013.11645649
[13] Emden, Z., Calantone, R., & Dröge, C. (2006). Collaborating for new product development: selecting the partner with maximum potential to create value. Journal of Product Innovation Management, 23(4), 330-341. https://doi.org/10.1111/j.1540-5885.2006.00205.x
[14] Faizi, S. and Rahman, S. (2019). Securing cloud computing through it governance. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3360869
[15] Fayezi, S. and Zomorrodi, M. (2015). The role of relationship integration in supply chain agility and flexibility development. Journal of Manufacturing Technology Management, 26(8), 1126-1157. https://doi.org/10.1108/jmtm-11-2014-0123
[16] Ferreira, P., Shamsuzzoha, A., Toscano, C., & Cunha, P. (2012). Framework for performance measurement and management in a collaborative business environment. International Journal of Productivity and Performance Management, 61(6), 672-690. https://doi.org/10.1108/17410401211249210
[17] Gianos, J. (2013). A brief introduction to ansoffian theory and the optimal strategic performance-positioning matrix on small business (ospp). Journal of Management Research, 5(2), 107. https://doi.org/10.5296/jmr.v5i2.3129
[18] Hinkelmann, K., Gerber, A., Karagiannis, D., Thoenssen, B., Merwe, A., & Woitsch, R. (2016). A new paradigm for the continuous alignment of business and it: combining enterprise architecture modelling and enterprise ontology. Computers in Industry, 79, 77-86. https://doi.org/10.1016/j.compind.2015.07.009
[19] Hoegl, M. and Gemuenden, H. (2001). Teamwork quality and the success of innovative projects: a theoretical concept and empirical evidence. Organization Science, 12(4), 435-449. https://doi.org/10.1287/orsc.12.4.435.10635
[20] Huang, L., Liu, F., & Liu, C. (2013). Design and research on collaborative learning program based on cloud-services. Advanced Materials Research, 756-759, 1199-1203. https://doi.org/10.4028/www.scientific.net/amr.756-759.1199
[21] Idris, A. A., Asokere, A. S., Ajemunigbohun, S. S., Oreshile, A. S., & Olutade, E. O. (2012). An empirical study of the efficacy of marketing communication mix elements in selected insurance companies in Nigeria. Australian Journal of Business and Management Research, 2(5), 8.
[22] Kangas, J., Kurttila, M., Kajanus, M., & Kangas, A. (2003). Evaluating the management strategies of a forestland estate—the s-o-s approach. Journal of Environmental Management, 69(4), 349-358. https://doi.org/10.1016/j.jenvman.2003.09.010
[23] Khalgui, M. and Mosbahi, O. (2011). Formal approach for the development of intelligent industrial control components. International Journal of Computer Applications in Technology, 42(2/3), 84. https://doi.org/10.1504/ijcat.2011.045400
[24] Klotins, E., Unterkalmsteiner, M., Chatzipetrou, P., Gorschek, T., Prikladnicki, R., Tripathi, N., … & Pompermaier, L. (2018). Exploration of technical debt in start-ups., 75-84. https://doi.org/10.1145/3183519.3183539
[25] Larson, D. and Chang, V. (2016). A review and future direction of agile, business intelligence, analytics and data science. International Journal of Information Management, 36(5), 700-710. https://doi.org/10.1016/j.ijinfomgt.2016.04.013
[26] Law, K., Cheng, J., Fruchter, R., & Sriram, R. (2016). Engineering applications of the cloud., 489-504. https://doi.org/10.1002/9781118821930.ch40
[27] Lipsmeier, A., Kühn, A., Joppen, R., & Dumitrescu, R. (2020). Process for the development of a digital strategy. Procedia cirp, 88, 173-178.
[28] Luftman, J. (2003). Assessing it - business alignment.. https://doi.org/10.1201/9781420031393.ch1
[29] Luo, C., Chang, H., & Su, C. (2012). ‘balanced scorecard’ as an operation-level strategic planning tool for service innovation. Service Industries Journal, 32(12), 1937-1956. https://doi.org/10.1080/02642069.2011.574273
[30] Malafronte, I. and Pereira, J. (2020). Integrated thinking: measuring the unobservable. Meditari Accountancy Research, 29(4), 805-822. https://doi.org/10.1108/medar-12-2019-0640
[31] Manikandasaran, S. S. (2016). Cloud computing with data confidentiality issues. International Journal of Advanced Research in Computer and Communication Engineering, 5(1), 97-100.
[32] Mateo, R., Yang, H., & Lee, J. (2012). Collaboration framework based on social semantic web for cloud systems. Journal of Internet Computing and Services, 13(1), 65-74. https://doi.org/10.7472/jksii.2012.13.1.65
[33] Matović, I. and Arsić, L. (2020). Ecological dimension of pestel analysis in small enterprises in the republic of serbia. Reciklaza I Odrzivi Razvoj, 13(1), 63-71. https://doi.org/10.5937/ror2001063m
[34] McGregor, C. and Schiefer, J. (2004). A web-service based framework for analyzing and measuring business performance. Information Systems and E-Business Management, 2(1). https://doi.org/10.1007/s10257-003-0027-x
[35] Melander, L. (2017). Achieving sustainable development by collaborating in green product innovation. Business Strategy and the Environment, 26(8), 1095-1109. https://doi.org/10.1002/bse.1970
[36] Mergel, I., Ganapati, S., & Whitford, A. (2020). Agile: a new way of governing. Public Administration Review, 81(1), 161-165. https://doi.org/10.1111/puar.13202
[37] Mihardjo, L. and Sasmoko, S. (2020). Digital transformation: digital leadership role in developing business model innovation mediated by co-creation strategy for telecommunication incumbent firms.. https://doi.org/10.5772/intechopen.82517
[38] Milosevic, D. and Srivannaboon, S. (2006). A theoretical framework for aligning project management with business strategy. Project Management Journal, 37(3), 98-110. https://doi.org/10.1177/875697280603700310
[39] Min, L., Zhao, D., & Yu, Y. (2015). Toe drivers for cloud transformation: direct or trust-mediated?. Asia Pacific Journal of Marketing and Logistics, 27(2), 226-248. https://doi.org/10.1108/apjml-03-2014-0040
[40] Mohamed, M., Stankosky, M., & Murray, A. (2004). Applying knowledge management principles to enhance cross‐functional team performance. Journal of Knowledge Management, 8(3), 127-142. https://doi.org/10.1108/13673270410541097
[41] Momm, C., Gebhart, M., & Abeck, S. (2009). A model-driven approach for monitoring business performance in web service compositions., 343-350. https://doi.org/10.1109/iciw.2009.57
[42] Mustapha, S. D., Adeoye, B. A. I., & AbdulWahab, R. (2017). Estimation of drivers’ critical gap acceptance and follow-up time at four-legged unsignalized intersection. CARD International Journal of Science and Advanced Innovative Research, 1(1), 98-107. CARD International Journal of Science and Advanced Innovative Research.
[43] Naik, V., Setia, S., & Squillante, M. (1997). Processor allocation in multiprogrammed distributed-memory parallel computer systems. Journal of Parallel and Distributed Computing, 46(1), 28-47. https://doi.org/10.1006/jpdc.1997.1377
[44] Norta, A. and Grefen, P. (2007). Discovering patterns for inter-organizational business process collaboration. International Journal of Cooperative Information Systems, 16(03n04), 507-544. https://doi.org/10.1142/s0218843007001664
[45] Nussbaumer, N. and Liu, X. (2013). Cloud migration for smes in a service oriented approach., 457-462. https://doi.org/10.1109/compsacw.2013.71
[46] Oh, W., & Pinsonneault, A. (2007). On the Assessment of the Strategic Value of Information Technologies: Conceptual and Analytical Approaches. MIS Quarterly, 31(2), 239–265. https://doi.org/10.2307/25148790
[47] Olamijuwon, O. J. (2020). Real-time Vision-based Driver Alertness Monitoring using Deep Neural Network Architectures (Master's thesis, University of the Witwatersrand, Johannesburg (South Africa)).
[48] Olutade, E. O. (2020). Social media as a marketing strategy to influence young consumers' attitude towards fast-moving consumer goods: a comparative study (Doctoral dissertation, North-West University (South Africa)).
[49] Olutade, E. O., & Chukwuere, J. E. (2020). Greenwashing as Influencing Factor to Brand Switching Behavior Among Generation Y in the Social Media Age. In Green Marketing as a Positive Driver Toward Business Sustainability (pp. 219-248). IGI Global Scientific Publishing.
[50] Olutade, E. O., Potgieter, M., & Adeogun, A. W. (2019). Effect of social media platforms as marketing strategy of achieving organisational marketing goals and objectives aong innovative consumers: Acomparative study. International Journal of Business and Management Studies, 8(1), 213-228.
[51] Oprins, R., Frijns, H., & Stettina, C. (2019). Evolution of scrum transcending business domains and the future of agile project management., 244-259. https://doi.org/10.1007/978-3-030-19034-7_15
[52] Oxley, J. and Pandher, G. (2015). Equity‐based incentives and collaboration in the modern multibusiness firm. Strategic Management Journal, 37(7), 1379-1394. https://doi.org/10.1002/smj.2392
[53] Paletta, M. and Herrero, P. (2010). An awareness-based learning model to deal with service collaboration in cloud computing., 85-100. https://doi.org/10.1007/978-3-642-15034-0_6
[54] Pan, H., Wu, C., & Lin, S. (2013). The preliminary discussion about key problems of cross-organizational business process collaboration. Applied Mechanics and Materials, 411-414, 2148-2151. https://doi.org/10.4028/www.scientific.net/amm.411-414.2148
[55] Panagiotou, G. and Wijnen, R. (2005). The “telescopic observations” framework: an attainable strategic tool. Marketing Intelligence & Planning, 23(2), 155-171. https://doi.org/10.1108/02634500510589912
[56] Panagiotou, G. and Wijnen, R. (2005). The “telescopic observations” framework: an attainable strategic tool. Marketing Intelligence & Planning, 23(2), 155-171. https://doi.org/10.1108/02634500510589912
[57] Park, J., An, G., & Chandra, D. (2007). Trusted p2p computing environments with role-based access control. Iet Information Security, 1(1), 27-35. https://doi.org/10.1049/iet-ifs:20060084
[58] Pavlou, P. and Sawy, O. (2011). Understanding the elusive black box of dynamic capabilities. Decision Sciences, 42(1), 239-273. https://doi.org/10.1111/j.1540-5915.2010.00287.x
[59] Pavlou, P. and Sawy, O. (2011). Understanding the elusive black box of dynamic capabilities. Decision Sciences, 42(1), 239-273. https://doi.org/10.1111/j.1540-5915.2010.00287.x
[60] Pearson, S. and Benameur, A. (2010). Privacy, security and trust issues arising from cloud computing., 693-702. https://doi.org/10.1109/cloudcom.2010.66
[61] Pellathy, D., Mollenkopf, D., Stank, T., & Autry, C. (2019). Cross‐functional integration: concept clarification and scale development. Journal of Business Logistics, 40(2), 81-104. https://doi.org/10.1111/jbl.12206
[62] Pérez, A., Moltó, G., Caballer, M., & Calatrava, A. (2018). Serverless computing for container-based architectures. Future Generation Computer Systems, 83, 50-59. https://doi.org/10.1016/j.future.2018.01.022
[63] Petrillo, A., Bona, G., Forcina, A., & Silvestri, A. (2018). Building excellence through the agile reengineering performance model (arpm). Business Process Management Journal, 24(1), 128-157. https://doi.org/10.1108/bpmj-03-2016-0071
[64] Petrillo, A., Bona, G., Forcina, A., & Silvestri, A. (2018). Building excellence through the agile reengineering performance model (arpm). Business Process Management Journal, 24(1), 128-157. https://doi.org/10.1108/bpmj-03-2016-0071
[65] Poberschnigg, T., Pimenta, M., & Hilletofth, P. (2020). How can cross-functional integration support the development of resilience capabilities? the case of collaboration in the automotive industry. Supply Chain Management an International Journal, 25(6), 789-801. https://doi.org/10.1108/scm-10-2019-0390
[66] Pope-Ruark, R. (2014). Introducing agile project management strategies in technical and professional communication courses. Journal of Business and Technical Communication, 29(1), 112-133. https://doi.org/10.1177/1050651914548456
[67] Prange, C. and Hennig, A. (2019). From strategic planning to strategic agility patterns. Journal of Creating Value, 5(2), 111-123. https://doi.org/10.1177/2394964319867778
[68] Prange, C. and Hennig, A. (2019). From strategic planning to strategic agility patterns. Journal of Creating Value, 5(2), 111-123. https://doi.org/10.1177/2394964319867778
[69] Rajpoot, Q., Jensen, C., & Krishnan, R. (2015). Attributes enhanced role-based access control model., 3-17. https://doi.org/10.1007/978-3-319-22906-5_1
[70] Rajpoot, Q., Jensen, C., & Krishnan, R. (2015). Integrating attributes into role-based access control., 242-249. https://doi.org/10.1007/978-3-319-20810-7_17
[71] Redmond, J. and Walker, E. (2008). A new approach to small business training: community based education. Education + Training, 50(8/9), 697-712. https://doi.org/10.1108/00400910810917073
[72] Ruotsala, R. (2014). Developing a tool for cross-functional collaboration: the trajectory of an annual clock. Outlines Critical Practice Studies, 15(2), 31-53. https://doi.org/10.7146/ocps.v15i2.16830
[73] Sabherwal, R. and Chan, Y. (2001). Alignment between business and is strategies: a study of prospectors, analyzers, and defenders. Information Systems Research, 12(1), 11-33. https://doi.org/10.1287/isre.12.1.11.9714
[74] Sabherwal, R. and Chan, Y. (2001). Alignment between business and is strategies: a study of prospectors, analyzers, and defenders. Information Systems Research, 12(1), 11-33. https://doi.org/10.1287/isre.12.1.11.9714
[75] Sabherwal, R., Hirschheim, R., & Goles, T. (2001). The dynamics of alignment: insights from a punctuated equilibrium model. Organization Science, 12(2), 179-197. https://doi.org/10.1287/orsc.12.2.179.10113
[76] Saini, H., Upadhyaya, A., & Khandelwal, M. (2019). Benefits of cloud computing for business enterprises: a review. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3463631
[77] Salah, A., Ramadan, N., & Ahmed, H. (2017). Towards a hybrid approach for software project management using ontology alignment. International Journal of Computer Applications, 168(6), 12-19. https://doi.org/10.5120/ijca2017914438
[78] Sanders, N. (2007). An empirical study of the impact of e‐business technologies on organizational collaboration and performance. Journal of Operations Management, 25(6), 1332-1347. https://doi.org/10.1016/j.jom.2007.01.008
[79] Sandhu, R., Bhamidipati, V., Coyne, E., Ganta, S., & Youman, C. (1997). The arbac97 model for role-based administration of roles., 41-50. https://doi.org/10.1145/266741.266752
[80] Sandhu, R., Coyne, E., Feinstein, H., & Youman, C. (1996). Role-based access control models. Computer, 29(2), 38-47. https://doi.org/10.1109/2.485845
[81] Sandhu, R., Ferraiolo, D., & Kühn, R. (2000). The nist model for role-based access control.. https://doi.org/10.1145/344287.344301
[82] Sarin, S. and McDermott, C. (2003). The effect of team leader characteristics on learning, knowledge application, and performance of cross‐functional new product development teams. Decision Sciences, 34(4), 707-739. https://doi.org/10.1111/j.1540-5414.2003.02350.x
[83] Sarin, S. and McDermott, C. (2003). The effect of team leader characteristics on learning, knowledge application, and performance of cross‐functional new product development teams. Decision Sciences, 34(4), 707-739. https://doi.org/10.1111/j.1540-5414.2003.02350.x
[84] Senarathna, I., Wilkin, C., Warren, M., Yeoh, W., & Salzman, S. (2018). Factors that influence adoption of cloud computing: an empirical study of australian smes. Australasian Journal of Information Systems, 22. https://doi.org/10.3127/ajis.v22i0.1603
[85] Shepperd, M. and Schofield, C. (1997). Estimating software project effort using analogies. Ieee Transactions on Software Engineering, 23(11), 736-743. https://doi.org/10.1109/32.637387
[86] Skafi, M., Yunis, M., & Zekri, A. (2020). Factors influencing smes’ adoption of cloud computing services in lebanon: an empirical analysis using toe and contextual theory. Ieee Access, 8, 79169-79181. https://doi.org/10.1109/access.2020.2987331
[87] Sow, M. and Aborbie, S. (2018). Impact of leadership on digital transformation. Business and Economic Research, 8(3), 139. https://doi.org/10.5296/ber.v8i3.13368
[88] Sow, M. and Aborbie, S. (2018). Impact of leadership on digital transformation. Business and Economic Research, 8(3), 139. https://doi.org/10.5296/ber.v8i3.13368
[89] Stormi, K., Laine, T., & Korhonen, T. (2019). Agile performance measurement system development: an answer to the need for adaptability?. Journal of Accounting & Organizational Change, 15(2), 231-256. https://doi.org/10.1108/jaoc-09-2017-0076
[90] Subashini, S. and Kavitha, V. (2011). A survey on security issues in service delivery models of cloud computing. Journal of Network and Computer Applications, 34(1), 1-11. https://doi.org/10.1016/j.jnca.2010.07.006
[91] Swink, M. and Schoenherr, T. (2014). The effects of cross‐functional integration on profitability, process efficiency, and asset productivity. Journal of Business Logistics, 36(1), 69-87. https://doi.org/10.1111/jbl.12070
[92] Tereso, A., Ribeiro, P., Fernandes, G., Loureiro, I., & Ferreira, M. (2018). Project management practices in private organizations. Project Management Journal, 50(1), 6-22. https://doi.org/10.1177/8756972818810966
[93] Trent, R. and Monczka, R. (1994). Effective cross‐functional sourcing teams: critical success factors. International Journal of Purchasing and Materials Management, 30(3), 2-11. https://doi.org/10.1111/j.1745-493x.1994.tb00267.x
[94] Ungerman, O. and Dědková, J. (2019). Marketing innovations in industry 4.0 and their impacts on current enterprises. Applied Sciences, 9(18), 3685. https://doi.org/10.3390/app9183685
[95] Verina, N., & Titko, J. (2019). Digital transformation: conceptual framework.
[96] Vrieze, P. and Xu, L. (2015). An analysis of resilience of a cloud based incident notification process., 110-121. https://doi.org/10.1007/978-3-319-24141-8_10
[97] Walsh, P. (2005). Dealing with the uncertainties of environmental change by adding scenario planning to the strategy reformulation equation. Management Decision, 43(1), 113-122. https://doi.org/10.1108/00251740510572524
[98] Wells, H. (2012). How effective are project management methodologies? an explorative evaluation of their benefits in practice. Project Management Journal, 43(6), 43-58. https://doi.org/10.1002/pmj.21302
[99] Wilson, B., Khazaei, B., & Hirsch, L. (2016). Towards a cloud migration decision support system for small and medium enterprises in tamil nadu.. https://doi.org/10.1109/cinti.2016.7846430
[100] Winter, S. (2003). Understanding dynamic capabilities. Strategic Management Journal, 24(10), 991-995. https://doi.org/10.1002/smj.318
[101] Wu, D., Thames, J., Rosen, D., & Schaefer, D. (2012). Towards a cloud-based design and manufacturing paradigm: looking backward, looking forward., 315-328. https://doi.org/10.1115/detc2012-70780
[102] Yan, M., Chien, K., & Yang, T. (2016). Green component procurement collaboration for improving supply chain management in the high technology industries: a case study from the systems perspective. Sustainability, 8(2), 105. https://doi.org/10.3390/su8020105
[103] Yigitbasioglu, O. (2015). The role of institutional pressures and top management support in the intention to adopt cloud computing solutions. Journal of Enterprise Information Management, 28(4), 579-594. https://doi.org/10.1108/jeim-09-2014-0087
[104] Zdravković, J. & Johanesson, P. (2004). Cooperation of processes through message level agreement., 564-579. https://doi.org/10.1007/978-3-540-25975-6_40
[105] Zott, C. (2002). Dynamic capabilities and the emergence of intraindustry differential firm performance: insights from a simulation study. Strategic Management Journal, 24(2), 97-125. https://doi.org/10.1002/smj.288
How to cite this paper
@article{1708525,
author = {Oyinomomo-emi Emmanuel Akpe, Jeffrey Chidera Ogeawuchi, Abraham Ayodeji Abayomi, Oluwademilade Aderemi Agboola, Ejielo Ogbuefi},
title = {A Conceptual Framework for Strategic Business Planning in Digitally Transformed Organizations},
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {5},
number = {4},
pages = {310-325},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708525.pdf},
abstract = {In the rapidly evolving digital era, organizations are compelled to reassess and redefine their strategic business planning approaches to remain competitive and sustainable. Traditional planning methods are increasingly insufficient in addressing the complexities, uncertainties, and technological disruptions of the modern business environment. This paper presents a conceptual framework for strategic business planning tailored to digitally transformed organizations. The framework integrates key elements of digital transformation?such as data-driven decision-making, agile methodologies, automation, and customer-centricity?into the strategic planning process. It emphasizes the alignment of digital capabilities with organizational vision, mission, and long-term objectives. The proposed framework comprises five interconnected components: (1) Environmental Scanning and Digital Readiness Assessment, (2) Vision and Goal Reconfiguration for Digital Alignment, (3) Strategic Capability Mapping and Resource Optimization, (4) Dynamic Implementation with Agile and Iterative Feedback Loops, and (5) Performance Monitoring through Real-Time Analytics and KPIs. These components are designed to support continuous adaptation, foster innovation, and enhance stakeholder engagement across all organizational levels. The framework is rooted in both theoretical constructs and practical insights, drawing from recent advances in strategic management, digital innovation, and enterprise architecture. By adopting this conceptual model, organizations can navigate the digital landscape more effectively, anticipate market shifts, and respond with agility. The paper further explores the implications of this framework for decision-makers and strategic planners, highlighting the importance of leadership, change management, and cross-functional collaboration. It advocates for a paradigm shift from static, linear planning to an adaptive, learning-oriented approach that is deeply embedded in the organization's digital ecosystem. Ultimately, this study contributes to the strategic management literature by bridging the gap between digital transformation and strategic planning. It offers a robust, flexible structure that can be tailored across various industries and organizational scales, ensuring strategic coherence in a volatile, uncertain, complex, and ambiguous (VUCA) world. Future research is recommended to empirically validate the framework and assess its impact on organizational performance and innovation outcomes.},
keywords = {Strategic Business Planning, Digital Transformation, Agile Strategy, Organizational Innovation, Conceptual Framework, Data-Driven Decision-Making, Enterprise Architecture, Digital Readiness, Performance Monitoring, VUCA Environment.},
month = {October},
}