DB FPX 8415 Assessment 4 Scenario and Alternative Future
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Capella University
DB-FPX8415 Strategic Decision Making
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Submission Date
Scenario and Alternative Future
A scenario planning approach does not attempt to predict a single potential future, but rather plans for several hypothetical but plausible futures. In this direction, the assessment methodically examines the four scenario frameworks to derive the most basic constructs and uses. In the Day and Schoemaker (2005) model, the focus is on scanning the peripheral signals in order to perceive newer changes as they emerge. Hussain, Tapinos and Knight (2017) demonstrate the possibility of merging the two approaches, but through scenario planning, the weaknesses of technology roadmapping can be addressed. Ramirez et al. (2017) recommend thinking about the potential situations in stormy periods to redefine the strategy of an organisation. Scenarios are given by Godet and Roubelat (1996) as images of possible futures and the connectivity between the present situation and the possible futures. The synthesis matrix was done in 5 phases as evaluated key points of each article, identifying key constructs, completing article cells, identifying cross-article themes, and synthesizing findings, which were done methodologically. Several parameters, including the approaches to scanning the surroundings, the ways of developing scenarios, and the strategic ways of implementing each of the frameworks, were considered (Rozak et al., 2021). Comparative analysis in assessment provides a premise for the choice of the most suitable framework, which will be applied in the pharmaceutical industry.
Part 1: Scenario Synthesis
The four scenario frameworks are complementary approaches to organizational foresight that are different. The peripheral vision paradigm (Day and Schoemaker 2005) is the cognitive constraint in terms of the identification of weak signals. The French ‘prospective approach’ of Godet and Roubelat (1996) provided tools for analytical purposes that are rigorous in the development of the scenarios. A type of strategic foresight and technology planning was the scenario-based road mapping explained by Hussain et al. (2017). It was informed by the Oxford approach (Ramirez et al., 2017), which is founded on co-reframing believable scenarios. The similarities that unite all the frameworks are the common aim to promote strategic decision-making during times of uncertainty. The research works are different in relation to their approach to philosophy of teaching, methodological approach, and performance requirements. For successful scenario planning, it is important that the features and characteristics of the framework match the context and needs in the organization. The synthesis indicates that a mixture of the elements on the different structures can lead to greater effectiveness.
Table 1
Scenario Planning Frameworks Synthesis Matrix
Framework Main Idea | Day & Schoemaker (2005) | Godet & Roubelat (1996) | Hussain et al. (2017) | Ramirez et al. (2017) | Your Synthesis |
A. Scenario Framework | Peripheral vision system which focuses on weak signals on the periphery of organizational consciousness. | French anticipatory/exploratory approach which emphasizes prospects. | Scenario-driven roadmapping method combining scenario planning with technology roadmapping | The Oxford approach to planning is around plausibility, not probability: rather than probability. | It has a number of frameworks with their philosophies. The structures range from signal detection to integrative structures. Each of them has a distinct way of organizational foresight. All are seeking to achieve better decision-making in the presence of uncertainty. |
B. Key Components | Question-based model consisting of three main categories: learning the past, assessing the present, projecting into the future. | Four conditions for scenarios: relevance, consistency, likelihood, and transparency | Eight-stage process: scenario development (stages 1-6) followed by roadmapping activities (stages 7-8) | Distinguishes between transactional environment (immediate business) and contextual environment (broader factors) | Good scenarios demand a combination of various components that are integrated. Key points are environmental scanning and stakeholder analysis. Structural rigor guarantees the quality and usability of the scenarios. There has to be a linkage between anticipation and action. |
C. Time Horizon | Concentrates on long-term horizon scanning over short-term planning periods. | Emphasizes medium to long-term futures with a focus on pathways from present to future | Utilized a 15-year planning horizon in the RFID case study application | Typically 10-20 years; Rolls-Royce used a 2040 horizon (25 years) | Time horizons depend on organizational situations and industrial dynamics. Far horizons allow the transformational changes to be explored. The majority of applications are 10-25 years long. The horizon length influences the level of uncertainty considered. |
D. Integration with Strategy | Gives a strategic early warning mechanism in order to detect emerging opportunities and threats. | Links anticipation with action through appropriation; transforms foresight into strategic decisions. | Integrates scenarios into technology roadmap layers; creates a flexible roadmap for strategic planning | Scenarios test existing strategies and reframe the strategic understanding of present circumstances. | Integration converts scenarios of the abstract future to action plans. The scenarios should be provocative of existing strategic premises. Integration needs an iterative engagement in the organization. Multifutures testing is strategic and applied to enhance strength. |
E. Tools/Methods | Nine important questions in three time categories: self-assessment diagnostic tool. | Structural analysis, actors’ strategy analysis, morphological methods, probability analysis | PEST analysis for driving forces; uncertainty/impact matrix; cross-impact analysis; flex points | Iterative workshops with diverse participants; interview-based research; narrative scenario development | Analytical tools are formal and increase rigor and decrease the entertainment aspect. Organized processes will guarantee extensive coverage of options. The tools include the qualitative frameworks up to the quantitative analysis. The choice of method is based on the needs and resources of the organization. |
F. Stakeholder Engagement | Promotes learning among mavericks, outliers, complainers, and peripheral customers. | Emphasizes appropriation through stakeholder involvement in the scenario development process | Participatory workshops support shared mental models and organizational learning. | Involves 25-50 participants from multiple functions, units, and external organizations | The wide involvement of stakeholders enhances the quality and acceptance of the scenario. Group thinking is challenged by diversity of thought, and this broadens thinking. As part of participation, organizational ownership of scenarios is developed. Outside voices include a critical outside-in view. |
G. Uncertainty Handling | Notes imperfect signals and blind spots; is more interested in peripheral vision than in central vision. | Explores all possible scenarios through formal tools; distinguishes likelihood from certainty | Uses uncertainty/impact matrix to rank driving forces; identifies flex points as critical indicators | Focuses on plausible rather than probable futures; explores TUNA conditions (turbulence, uncertainty, novelty, ambiguity) | The uncertainty is not something that can be done away with, but it can be systematically studied. In turbulent environments, plausibility is more of a concern than a precise probability. Several situations define a variety of uncertainty possibilities. The tools are formal so as to avoid premature closure on one future. |
H. Unique Features | Peripheral vision metaphor; focus on the organizational blind spots and thinking blocks. | French prospective school tradition; emphasis on transparency and formal analytical rigor | Flex points create a strategic radar for post-intervention monitoring; integrate two established methods. | Distinguishes contextual from transactional environment; emphasizes collaborative reframing | The two frameworks provide unique value propositions to practitioners. Unique features are used when there is a specific organizational or environmental challenge. Innovation is in blending strategies or modifying ways. Differentiation makes it possible to have an equivalent framework for particular situations. |
I. Implementation Challenges | Resistance to bad news in the organization; inability to assign scarce scanning resources. | Risk of misuse for entertainment rather than rigorous exploration; requires methodological discipline. | Resource-intensive process requiring multiple workshops over an extended timeframe; need for ongoing engagement | Significant time investment required; need for skilled facilitation; difficult to assign probabilities in turbulent conditions. | There is a high cost of implementation in terms of organizational dedication and resources. Some of the challenges are time requirements, facilitation skills, and long-term participation. Organizations find it difficult to deal with the uncertainty and ambiguity of the process. Leadership support and cultural preparedness are key to success. |
Part 2: Scenario Framework for Pharmaceutical Industry
Selected Scenario Framework
The executives differentiate between the transactional environment and their contextual environment, thus isolating the parts of business they can control and those they cannot. The Oxford scenario planning model of MiracleDrugs analysis (Ramirez et al., 2017) is chosen. The framework is founded on plausibility rather than probability since, in a high-uncertainty environment, such as the pharmaceutical industry, it is the appropriate way of doing things. Joint reframing benefits companies to cope effectively with a turbulent environment, as discovered by Ramirez et al. (2017). The pharmaceutical industry has extremely high turbulence, uncertainty, novelty, and ambiguity (TUNA) pressures, which are regulation, technology, and market changes. Hussain et al. (2017) argue that scenario planning must take into account various eventualities, as opposed to single forecasts. Organizational learning can take place in the iterative nature of the Oxford approach, whereby there are multiple interactions with other futures. Day and Schoemaker (2005) concentrated on peripheral vision, but pharmaceutical executives need to conduct a full analysis of the environment outside the weak signals. The French prospective approach suggested by Godet and Roubelat (1996) implied that planning demands a lot of quantitative analysis, which is not appropriate in the beginning stage of strategic dialogues. Oxford framework integrates the rigor of analysis but also has exciting collaborative procedures for a range of executive teams.
The selected framework has these strategic advantages over others when used in the Pharmaceutical industry application. Ramirez et al. (2017) managed to implement the approach in the complex industry with a high rate of change. The reframing of the existing strategy will assist pharmaceutical executives to begin to question the assumptions made about markets. Jeong et al. (2021) suggest road mapping by scenario as giving technological integration, but no complexity is required at the first level of strategic planning. The Oxford method is laborious, and pharmaceutical firms can afford to spend time on such crucial decisions as long-term ones. Like in the pharmaceutical industry case, patenting is a lengthy process (10 years), there are plenty of phases involved, and you require a structure that has longer perspectives. Miller et al. (2022) highlighted collaboration and creating a consensus between executives, who have diversified functional experiences and views. The building’s design will optimize MiracleDrugs’ ability to craft effective strategies that are more than one viable pharmaceutical future.
Current State Pharmaceutical Industry Trends and Performance Indicators
The pharmaceutical industry is under the influence of five major trends that impact scenario development and are currently affecting the pharmaceutical industry. First, there is patent cliff pressure, as big blockbuster drugs go generic and cause revenue streams to be under pressure. The trend, as indicated, indicates the number of mergers and acquisitions being carried out to fill the empty pipelines and remain profitable. Second, with the advent of personalized medicine and precision therapeutics, the development of genomics and finding biomarkers makes the process faster. Hällerstrand et al. (2023) emphasized the need to scan the emerging technologies that have the potential to transform the competitive landscape in the industry radically. The transition suggests reduced patient groups and increased prices of drugs, and more focused research investments. Third, the regulatory complexity is increasing around the world as major markets such as the Food and Drug Administration (FDA) and the European Medicines Agency (EMA) have divergent approval pathways (Car et al., 2025). Fourth is the incorporation of digital health due to AI, real-world evidence, and the ability to monitor patients remotely. Longer timelines to market access, thus higher cost of compliance, impact development strategy and resource allocation decisions.
Clinical trial plans, post-market surveillance, and patient engagement models are also models that can be transformed with the aid of digitalization. Lastly, prices are subject to governmental price negotiation, payer negotiation, and social criticism of drug pricing. Godet and Roubelat (1996) pointed out that the construction of scenarios should be able to react to the economic forces affecting the sustainability of the industry. It can also be applied to value-based pricing models, outcomes-based contracts, and pharmaceutical business model innovation. The five trends are major uncertainties to be taken into consideration by pharmaceutical executives in the 10-year scenario planning. Each of the trends is associated with various degrees of ambiguity and potential impact on the performance and strategy of organizations (Allan and Alghizzawi, 2024). The trends’ interrelationships form complexities that need an organized investigation by formal scenario frameworks.
Trigger Questions for Executive Team
Five thought-provoking trigger questions will be used that will make executives in MiracleDrugs think 10-years about pharmaceutical situations.
- What happens when AIs can discover and develop new medicines faster than conventional R&D?
- What about the price controls that are obligatory and can be introduced by governments in all the major pharmaceutical markets across the globe?
- What is the effect of personal medicine whereby blockbuster drugs in the next five years are not utilized?
- What are the possible consequences if over the next 10 years 60% of the market share of biologics goes to biosimilars?
- What would happen in case of a direct-to-consumer genetic test and a doctor visits them through telemedicine to prescribe a medication?
The pharmaceutical industry nowadays is a physician-prescriptive industry where it has no direct interaction with the patient or sales. The ownership of health data and access to telehealth can disrupt the typical distribution and marketing system, putting consumers in charge (Burrell, 2024). The question poses doubts regarding customer relations, marketing expenditures, and regulatory compliance on access to pharmaceuticals.
Conclusion
Pharmaceutical executives need the tools to cope with unprecedented uncertainty and change in their industry, and that’s what scenario planning provides. The evaluation took into account four scenario frames, as well as the environmental scanning approach, stakeholder approach, and uncertainty approach. In the context of the 10-year futures analysis on MiracleDrugs, where the analysis was based on plausibility in turbulent times, the Oxford approach of scenario planning was the most appropriate of the three approaches. The scenario is developed on the five major trends that include patent cliffs, personalized medicine, regulatory complexity, integration with digital health, and pricing pressures. The five trigger questions created put basic assumptions in the pharmaceutical industry on drug discovery, pricing models, and market penetration to the test.
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References for
DB FPX 8415 Assessment 4
Allan, A., & Alghizzawi, M. (2024). Environmental uncertainty awareness and organisational performance: A review and suggestions for future research. Studies in Systems, Decision and Control, 1, 345–355. https://doi.org/10.1007/978-3-031-65203-5_31
Burrell, D. N. (2024). Telehealth technologies, disruptions, and health literacy. Health Economics and Management Review, 5(4), 33–46. https://doi.org/10.21272/hem.2024.4-03
Car, E., Barbier, L., Huys, I., Simoens, S., & Vulto, A. G. (2025). Evolving global regulatory landscape for approval of biosimilars: current challenges and opportunities for convergence. Expert Opinion on Biological Therapy, 25(6), 649-668. https://doi.org/10.1080/14712598.2025.2507832
Day, G. S., & Schoemaker, P. J. H. (2005). Scanning the periphery. Harvard Business Review, 83(11), 135–140. https://pubmed.ncbi.nlm.nih.gov/16299966/
Godet, M., & Roubelat, F. (1996). Creating the future: The use and misuse of scenarios. Long Range Planning, 29(2), 164–171. https://doi.org/10.1016/0024-6301(96)00004-0
Gupta, R., Srivastava, D., Sahu, M., Tiwari, S., Ambasta, R. K., & Kumar, P. (2021). Artificial intelligence to deep learning: Machine intelligence approach for drug discovery. Molecular Diversity, 25(3), 1–46. https://doi.org/10.1007/s11030-021-10217-3
Hällerstrand, L., Reim, W., & Malmström, M. (2023). Dynamic capabilities in environmental entrepreneurship: A framework for commercializing green innovations. Journal of Cleaner Production, 402, e136692. https://doi.org/10.1016/j.jclepro.2023.136692
Hussain, M., Tapinos, E., & Knight, L. (2017). Scenario-driven roadmapping for technology foresight. Technological Forecasting and Social Change, 124, 160–177. https://doi.org/10.1016/j.techfore.2017.05.005
Jeong, Y., Jang, H., & Yoon, B. (2021). Developing a risk-adaptive technology roadmap using a Bayesian network and topic modeling under deep uncertainty. Scientometrics, 126(5), 3697–3722. https://doi.org/10.1007/s11192-021-03945-8
Miller, C. C., Chiu, S. (Shih-Chi), Wesley II, C. L., Vera, D., & Avery, D. R. (2022). Cognitive diversity at the strategic apex: Assessing evidence on the value of different perspectives and ideas among senior leaders. Academy of Management Annals, 16(2), 806–852. https://doi.org/10.5465/annals.2020.0387
Ramirez, R., Churchhouse, S., Palermo, A., & Hoffmann, J. (2017). Using scenario planning to reshape strategy. Sloan Management Review, 58(4). https://ora.ox.ac.uk/objects/uuid:916e9b13-163c-4a2a-989d-2804e907f4a8
Rozak, H., Adhiatma, A., Fachrunnisa, O., & Rahayu, T. (2021). Social media engagement, organizational agility, and digitalization strategic plan to improve SMEs’ performance. Institute of Electrical and Electronics Engineers Transactions on Engineering Management, 70(11), 1–10. https://doi.org/10.1109/tem.2021.3085977
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