DB-FPX8415

DB FPX 8415 Assessment 4 Scenario and Alternative Future

DB FPX 8415 Assessment 4 Scenario and Alternative Future

DB FPX 8415 Assessment 4 Scenario and Alternative Future Student Name Capella University DB-FPX8415 Strategic Decision Making Professor Name Submission Date [blur_section id=”postDownload” button=”Free Download” form_id=”e9df100″] 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 […]

DB FPX 8415 Assessment 4 Scenario and Alternative Future Read More ยป

DB FPX 8415 Assessment 2 Industry Gap in Practice

DB FPX 8415 Assessment 2 Industry Gap in Practice

DB FPX 8415 Assessment 2 Industry Gap in Practice Student Name Capella University DB-FPX8415 Strategic Decision Making Professor Name Submission Date [blur_section id=”postDownload” button=”Free Download” form_id=”e9df100″] Industry Gap in Practice Slide 01 Hello everyone! My name is __________ and today I will talk about the gap in practice in the connected autonomous vehicles (CAV) industry. The main points will be highlighted that could play a pivotal role in the growth of the industry. Slide 02 Part 1 Executive Summary Industry Context The Insurance Industry today is drastically different. Insurance for self-driving vehicles is projected to develop at an exponential rate, increasing by 13.9% annually until it reaches nearly $60 billion in 5 years (Research and Markets, 2025); within a car insurance company, the overall market growth will be 2.5% annually, totaling $796.8 billion in 2030. The upward trend suggests that although the autonomous car insurance market will keep expanding, albeit at a moderate pace, the autonomous vehicle insurance market can’t necessarily be considered an extension of the traditional market. The automated self-driving entity is typically the manufacturer of the automated vehicle, and the no-user-in-charge operator is a separate legal entity, such as UK firm Blasis, which will be established under the United Kingdom’s Automated Vehicles Act 2024 (Borras, 2025). The Act shifts the center of liability from persons to corporate entities, altogether altering the risk assessment models. Slide 03 Industry Gaps The gap analysis highlights three key mismatches between today’s insurance regimes and what will become a necessary insurance regime with the advent of CAV. To start with, the gap in liability. Fault in existing insurance models revolves around the driver, but CAV technology will involve the manufacturer, developer, and infrastructure provider (Borras, 2025). Second is that of the data and analytics gap. Whereas historical and demographic data are used in existing insurance models to determine insurance, real-time integration of sensor data, software performance data, and cyber data will be required in order to make an underwriting decision with CAV insurance products. Last but not least, there’s the innovation gap. The insurance models that cover existing technologies are one-time, annual contracts, but CAV technology will require dynamic insurance contracts that evolve based on consumer usage (or lack thereof) of CAV technology (Research and Markets, 2025). What industry leaders are faced with is whether they are prepared to undergo incremental change or fundamental change. Vlad Schepkov (2026) shows recent collaboration opportunities, such as between Cheche Group and Volkswagen, Cardif Airstar, that show that smart businesses are already creating the future insurance models. Part 2 Industry Context It’s important to understand the CAV industry context to get insights about the industry. The new segment is seeing a higher growth rate of 13.9% CAGR as compared to the growth rate of the traditional auto insurance segment of 2.5% CAGR, which translates to a $59.8 billion opportunity by 2030 (Research and Markets, 2025a). Technology progresses step-by-step, and it does not go back. โ€œLevel 2+โ€: Cares that remove steering and speed control from the driverโ€™s hands, but still require a driver to operate. This is now commonplace in new car lineups and will make up 40% of new sales by 2035. The numbers are indicative of an existing complexity for insurers. Lastly, the industry has grown to encompass not only insurers and insureds, but manufacturers, technologies, and government as well (Borras, 2025). The Automated Vehicles Act of 2024 is a legal reconstruction of the rules of accountability and creates a new type of legal subject, an authorized self-driving entity, which is ultimately responsible for the vehicle’s performance. Important to note, new car average weights will be over 4,600lbs starting in 2026, increasing accident severity while decreasing accident frequency (S&P Global, 2025). There are over 41 companies participating in an emerging market. Part 3 Industry Gaps in Practice Gap 1: Liability Framework Analysis Perhaps the most basic of the challenges to the traditional insurance model is the liability gap issue. Since the current โ€œfaultโ€, or โ€œbreachโ€, relies on a previous set of rules of negligence, the โ€œfaultโ€, or โ€œbreachโ€, is one belonging to a human driver. This drastically changes with the Automated Vehicles Act 2024, which introduces two new legal entities: In most cases, the manufacturer will be called the automated self-driving entity, and the no-user-in-charge operator will be Waymo or Uber (Garlick, 2026). The difference between the facelifted model and the new one couldn’t be more extreme. The world we are heading towards has been proven. Each CAV will have a Fault Identification with Event Recorder (FIDER) system to detect faults in the software and sensors. Insurers don’t have forensic tools in order to interpret this information independently. Gap 2: Data & Analytics Gap Data and analytics are a huge challenge to the bread and butter of risk assessment. With the current use of historical data and demographic information, insurers are now confronted with unprecedented data sets provided by CAVs, such as lidar data, global positioning system (GPS) paths, decision-making processes, acceleration patterns, incident replays, among others (Research and Markets, 2025b). Insurers can use data to modify policies in real time based on continuous, usage-based risk assessments, replacing traditional risk assessment methods. But the data and analytics gap is due to the fact that manufacturers and tech firms have the data, and they aren’t even sharing information. Manufacturers do not like to disclose information because of Intellectual Property and Trade Secrets issues. What’s evident from the partnerships is the potential that’s there. For example, Cheche Group and VW have formed a partnership to integrate driving behavior data such as harsh acceleration, braking, and turning with road and claims data to deliver unique risk scores to enable better driving and better pricing (Vlad Schepkov, 2026). SDV generates a whole new set of data that insurance companies have to deal with. Two vehicles of the same model and year can have different software definitions. Gap 3: Product Innovation Gap Product innovation gap is the gap between the product being offered and what CAV customers need. In […]

DB FPX 8415 Assessment 2 Industry Gap in Practice Read More ยป

DB FPX 8415 Assessment 1 Activity 3 Reflection on Theory, Theoretical Model, and Framework in Research

DB FPX 8415 Assessment 1 Activity 3 Reflection on Theory, Theoretical Model, and Framework in Research

DB FPX 8415 Assessment 1 Activity 3 Free Download DB FPX 8415 Assessment 1 Activity 3 Reflection on Theory, Theoretical Model, and Framework in Research Student name Capella University DB-FPX8415 Strategic Decision Making Professor Name Submission Date [blur_section id=”postDownload” button=”Read Full Sample ” form_id=”e9df100″] Reflection on Theory, Theoretical Model, and Framework in Research Theoretical models, theory, and frameworks are used differently in studies. A theory is a combination of concepts and propositions that are related to each other and explain and predict phenomena. The theory is generalized based on empirical evidence. A theoretical model is an oversimplified description of a system based on a theory, and may represent the relationships between variables in a form that may be used to direct empirical research. A framework further provides a structure or prism in which to view a subject without necessarily making particular predictions (Luft et al., 2022). The main factors to be considered when choosing a theory or a model are the compatibility with research questions, the applicability to the context of the study, explainable constructs, and empirical justification. The selection must also be indicative of the scope of the study and its contribution to the field. As an example, one can refer to a business challenge where the turnover of employees influences the performance of the organization. This issue is well applicable to Herzberg’s two-factor theory that differentiates hygiene factors and motivators (Ghimire et al., 2024). The theory guides such important concepts as job satisfaction, motivation, and retention. The use of the theory would facilitate the determination of the factors that require modification in the workplace to retain employees, thus improving the performance of an organization. Its theoretical insight allows the diagnostic comprehension as well as strategic planning to resolve the turnover problem. Click now to get expert help with DB FPX 8415 Assessment 1 Activity 2 and boost your grade today! [/blur_section] References for DB FPX 8415 Assessment 1 Activity 3 [blur_section id=”postinstructions” button=”Grab Capella References” form_id=”b4ab3ac”] ย  Ghimire, B., Dahal, R. K., Karki, D., & Joshi, S. P. (2024). Motivators and hygiene factors affecting academics in Nepalese higher education institutions: Applying Herzbergโ€™s two-factor theory.ย Journal of Business and Social Sciences Research,ย 9(2), 1โ€“16.ย https://doi.org/10.3126/jbssr.v9i2.72406 ย  Luft, J. A., Jeong, S., Idsardi, R., & Gardner, G. (2022). Literature reviews, theoretical frameworks, and conceptual frameworks: An introduction for new biology education researchers.ย CBEโ€”Life Sciences Education,ย 21(3).https://doi.org/10.1187/cbe.21-05-0134 [/blur_section]

DB FPX 8415 Assessment 1 Activity 3 Reflection on Theory, Theoretical Model, and Framework in Research Read More ยป

DB FPX 8415 Assessment 1 Activity 2 Application of Theoretical Frameworks in Scholarly Research

DB FPX 8415 Assessment 1 Activity 2 Application of Theoretical Frameworks in Scholarly Research

DB FPX 8415 Assessment 1 Activity 2 Free Download DB FPX 8415 Assessment 1 Activity 2 Application of Theoretical Frameworks in Scholarly Research Student name Capella University DB-FPX8415 Strategic Decision Making Professor Name Submission Date [blur_section id=”postDownload” button=”Read Full Sample ” form_id=”e9df100″] Application of Theoretical Frameworks in Scholarly Research The academic research relies on the conceptual and theoretical frameworks. A theoretical framework underlies the research by basing it on already known theories and literature, influencing the generation of hypotheses and interpretation. Still, the conceptual framework is a graphical depiction (usually boxes and arrows) created by the researcher of significant ideas and theorized relationships. Graphical or pictorial expressions transform the abstract into visual associations- showing the impact of independent variables on outcomes, mediation, or moderation, and justifying the organization of research design and measurement. The model in this diagram demonstrates the influences of environmental awareness, habitat quality, social network, social trust, and community belonging on community voluntarism, which in turn affects environmental behavior (Si et al., 2022). Boxes are used to represent constructs, with arrows used to depict the direct and the mediated pathways, with social capital as a central value. Need help with DB FPX 8415 Assessment 1 Activity 3? Click here for expert support and fast, accurate results! [/blur_section] References for DB FPX 8415 Assessment 1 Activity 2 [blur_section id=”postinstructions” button=”Grab Capella References” form_id=”b4ab3ac”] ย  Si, W., Jiang, C., & Meng, L. (2022). The relationship between environmental awareness, habitat quality, and community residentsโ€™ pro-environmental behaviorโ€”mediated effects model analysis based on social capital.ย International Journal of Environmental Research and Public Health,ย 19(20), e13253.ย https://doi.org/10.3390/ijerph192013253 [/blur_section]

DB FPX 8415 Assessment 1 Activity 2 Application of Theoretical Frameworks in Scholarly Research Read More ยป

DB FPX 8415 Assessment 3

DB FPX 8415 Assessment 3

DB FPX 8415 Assessment 3 Company Analysis Framework Student Name Capella University DB-FPX8415 Strategic Decision Making Professor Name Submission Date [blur_section id=”postDownload” button=”Free Download” form_id=”e9df100″] Company Analysis Framework Morgan-Eskola Hospitality Partners (ME-HP), headquartered in San Francisco, is a venture capital firm that would like to acquire a chain of European style boutique hotels and spas in the largest cities in the United States. Since the hospitality business is undergoing a radical transformation due to the COVID-19 pandemic, the partners feel that they can invest at the appropriate time. In their part, ME-HP has commissioned the development of strict acquisition criteria, which include general, operational, and financial requirements.ย The conceptual model of service delivery by Seyitooglu and Ivanov (2020) is the basis of the analysis as guidance for the strategic decision-making of ME-HP. The framework offers an integrated viewpoint, which incorporates the anticipation of customers, strategic examination, differentiation, and the formation of the service delivery systems to deliver crucial details required to make sound and strong acquisition choices. Relevance of the Framework The conceptual framework applies, in particular, to the development of the requirements of the acquisition, which are oriented toward the basic strategic concerns of the post-COVID hospitality environment. The best strategic solution to the acquisition decision in the case of ME-HP should begin with a clear understanding of the expectations of the customers (SeyitoฤŸlu and Ivanov, 2020). The objective of the post-COVID world is centered on safety, flexibility, and original experience among the guests.ย Effective identification of hotels that are capable of meeting the dynamics of the shifting demands will make them fit the market behavior and generate long-term customer loyalty. Subsequently, a situational analysis using such tools as the resource-based view (RBV), value chain analysis, stakeholder theory, and political, economic, social, technological, environmental, and legal (PESTEL) framework makes it possible to conduct a full evaluation of the internal competencies of a hotel, the external environment, and interactions (Seyitooglu and Ivanov, 2020). The holistic perspective is good in decision-making and mitigating risks. Also, differentiation and positioning are very important, particularly in the boutique hotel segment, where the competition against the larger chains is intense. Uniqueness of their themes, customized services, and cultural experience embedded in the hotels make them unique and attract guests with higher values. Finally, one of the operation requirements is the design of the service delivery system (SeyitoฤŸlu and Ivanov, 2020). Due to the lasting impact of the pandemic on the expectations of guests, the property should be able to provide them with the flexibility of service models, be it human, robots, or hybrids, to keep the safety of their guests intact and improve the overall experience.ย  The interrelational elements enable ME-HP to evaluate not only the profitability alone, but also strategic fit with the current and future trends in the hospitality sector, and the framework is extremely useful in screening investment opportunities. Elements of the Framework for Developing Acquisition Criteria Demand: Customer Expectations The pandemic has dramatically changed the expectations that travellers have of hotels. Modern consumers are more health-focused, more hygiene-focused, and more safety-focused, and many of them nowadays are more concerned about physically distant services and do not want to compromise the overall experience.ย Contactless check-ins and robotics room services and artificial intelligence concierge are just some of the technologies that the guests have grown more inclined toward in such urban destinations as New York and San Francisco (SeyitoฤŸlu and Ivanov, 2020). In the case of ME-HP, the technologies would imply the choice of hotel properties that are already equipped or can be easily changed and used to deliver physically distant services using robotics or automation. ย  Situational Analysis The RBV view determines whether the hotel has valuable, rare, inimitable, and non-substitutable resources. Sustainable competitive advantage is provided to properties having high brand awareness, cultural peculiarity of architecture, or having regular local customers (SeyitoฤŸlu and Ivanov, 2020). ME-HP will be able to recognize cost-saving opportunities and possible revenue increase by assessing the efficiency and effectiveness of the hotel operations (including housekeeping to food service).ย  The ME-HP has to take into account the relationships with the local communities, suppliers, technology providers, and government controls.ย The more resilient in the uncertain environment are the properties with a well-developed stakeholder network, especially those that can collaborate with the health authorities or local tech startups. It should study the political, financial, social, technological, environmental, and legal situation in every target city (e.g., San Francisco vs. Boston) (Seyitoglu and Ivanov, 2020). A hotel in a jurisdiction that has friendly tech incentives and a public health infrastructure would have higher potential returns. Differentiation and Positioning Differentiation is a survival issue when it comes to the case of boutique hotels. ME-HP is supposed to evaluate the position of every potential property in the local market. The hotel can identify with unique features, including architecture, wellness-related facilities, design topics, individualized service offerings, and cultural affiliations to the locality (SeyitoฤŸlu and Ivanov, 2020). Market fit will depend on the manner in which the hotel balances safety and experience in the post-COVID environment.ย As an illustration, hotels (that market visible hygiene protocols such as automated cleaning with guests in the vicinity) not only provide safety but also use it as a promotional tool (SeyitoฤŸlu and Ivanov, 2020). Service is not the only differentiation, but emotional connection, as well. The hotels that support the guest to tell their stories, provide the selected experiences related to the local area, and have a focus on sustainability and responsible sourcing may be distinguished. Service Delivery System and Alternatives The ME-HP needs to consider whether the current model of service delivery used by the hotel can support the repositioning in the post-viral world.ย  First fully automated experiences would attract technology-related customers who are worried about physical safety (SeyitoฤŸlu and Ivanov, 2020).ย The automated experiences involve an initial investment and save on labor in the long run. Second, hospitality and interpersonal bonds are more important values of human-based systems, yet they require high-level hygiene standards and training (Seyitooglu and Ivanov, 2020). Third, integrating robotics […]

DB FPX 8415 Assessment 3 Read More ยป

Fill the form to instantly download your free sample!
Please enter correct phone number and email address to receive OTP on your phone & email.
Guide to Million Dollar Success
My Website
Limited Copy Left