Summative Assessment: Leadership Optimization Business Plan
BUS/721 v8
Vision Framework Worksheet
BUS/721 v8
Page 2 of 2
Vision Framework Worksheet
Part A: Write a 175- to 260-word response to each prompt below.
Ensure each response is
· thorough and complete
· supported with rationale.
· edited carefully for grammar, punctuation, and spelling errors
· formatted according to course-level APA guidelines (where applicable)
· cited correctly (where applicable)
Prompt 1 – Exploring the Vision |
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Identify up to 3 possible optimization opportunities in data analytics relevant to your chosen organization. In your response be sure to: · Describe the optimization issues clearly. · Explain the proposed opportunity or remedy for each issue. · Provide sufficient context for each issue and opportunity. |
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Tesla's optimization issues stem from production regarding excessive automation and adaptability and the performance capacity of the batteries produced. Utilizing human resources is more able to adapt to change than artificial intelligence (AI) has the potential to replace human workers, but leaders must define the right speed of modification since the factory is highly automated. However, while autonomous systems progress quickly, human workforces are far better at adapting to unexpected shifts. As such, complex manufacturing works patterns to increase supply chain efficiency that Tesla should not miscalculate in producing its batteries (Akakpo et al., 2019). Tesla's productivity issues should have addressed the significance of adaptability in manufacturing, thereby enhancing productivity. The prospect of lesser oversights and unexpected situations compared to the intricacy of the process, notably when the process occurs in the real world. Tesla may face other threats regarding globalization, government regulations, slow customer adaptation, and manufacturing delays (Buchel & Floreano, 2018). |
Prompt 2 – Developing the Vision |
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For each opportunity you identified, make connections to Figure 1.1, “The Work of Leaders Overview,” in Ch. 1 of The Work of Leaders. Use the questions below to guide your response. · How will you demonstrate open-mindedness as you develop your vision? · How will you prioritize the “Big Picture” of your vision? · How will your solutions embody boldness? |
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Developing a vision is a trial-and-error process, where leaders must broaden the scope of the team's options and look beyond the current situation. Therefore, leaders must exhibit open-mindedness and boldness and prioritize the big picture. As the team leader in charge, leaders must become pragmatic in developing ideas for Tesla to achieve the desired goals. With an optimized process comes increased work superiority, and a thoroughly constructed process can decrease expensive errors and improve results (Huang et al., 2022). Having an optimized workplace is significant, and creating a strategy for process management is the optimal means to get results. The productivity of Tesla's automobile industrial performance rests on operations management efficiencies, such as in the sphere of inventory management, potential bottleneck issues, and supply chain management (Di Nardo, 2020). Operations management procedures depend on Tesla's vision, which distinguishes much of the corporation's approaches and planning. Operations management ability impacts high productivity and business growth even with opposing external forces. On the opportunity of exploiting data in real-time, attained data to improve the design and to remain a top manufacturer, Tesla must determine how the organization's products affect costs, value objectives, and resources regarding staff allocation to improve services and practices that create accordingly maximization to satisfy consumer expectations. This measure will require preciseness in dealing with competition, consumer data, and feedback. Proper data analysis will improve services through quality checks programs since operational processes when carried out correctly with the appropriate strategic plan, and management personnel ensures the maximization of productivity (Thompson, 2018). Making quality decisions is vital to any organization regarding procedures and capacity design research on the automotive and energy results within the electric car market. Relying on data in making decisions will enable Tesla to serve patrons better and respond to quality issues with suppliers (Foufa, 2022). These executive actions are achieved by adequately examining consumer and competition data to develop appropriate measures to help them better optimize performance and services. Boldness will be evident from the effectiveness of decisions made from that data. |
Prompt 3 – Desired Outcomes |
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Describe the intended result of implementing your vision for optimization of operations. Be sure to include legal and ethical considerations. Provide rationale for your response. |
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The intended outcomes of implementing the vision for optimizing the operations include the elimination of complexity and latency in processing in its supply chain. These operations executive decision areas concentrate on business activities, associated assets, means, and standards. Tesla, Inc. incorporates automation for this concern. For instance, automating production methods along with human involvement assists Tesla in realizing high productivity through operational streamlining proficiency in the automotive and energy solutions industry. The first desired outcome regards advancing its manufacturing efficiency by helping managers gauge the efficiency of present systems, analyze the results of the processes, industrialize new workflows, and refine them over time, permitting Tesla to govern if processes are ineffective or draining the budget. The second desired outcome is the exploitation of robust data in real time. Data is crucial since the future of its services and opportunities will hang on to a robust data analytics strategy. Real-time data will enable Tesla to verify and refine the outcomes over time. For instance, assigning more personnel to a particular section with less need for automation will be possible to avoid supply chain backlogs (Zamani et al., 2022). The last desired outcome is making quality decisions. Good decision-making relies on facts, not speculations, and facts derived from data. Hence, appropriate data analytics assessment will automatically lead to significant quality decision-making and management of resources and operations, which will be in the consumer's best interest. On the opportunity of exploiting data in real-time, attained data to improve the design and to remain a top manufacturer, Tesla must determine how the organization's products affect costs, value objectives, and resources regarding staff allocation to improve services and practices that create accordingly maximization to satisfy consumer expectations. This measure will require preciseness in dealing with competition, consumer data, and feedback. Proper data analysis will improve services through quality checks programs since operational processes when carried out correctly with the appropriate strategic plan, and management personnel ensures the maximization of productivity (Thompson, 2018). Making quality decisions is vital to any organization regarding procedures and capacity design research on the automotive and energy results within the electric car market. Relying on data in making decisions will enable Tesla to serve patrons better and respond to quality issues with suppliers (Foufa, 2022). These executive actions are achieved by adequately examining consumer and competition data to develop appropriate measures to help them better optimize performance and services. Boldness will be evident from the effectiveness of decisions made from that data. |
Prompt 4 – Leadership Competencies |
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Describe the leadership competencies necessary to align and execute this vision. Specify any particular milestones necessary for the plan. |
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In leading teams toward realizing any plan's positive outcomes, all leaders must be equipped with specific characteristics that will contribute to good performance (Heinen et al., 2019). As the team leader, to achieve these objectives for Tesla to develop and market in the global market, the leader must possess several leadership competencies to realize the intended change (Johan et al., 2022). The leadership competency must have cognitive intelligence. This type of intelligence refers to thinking and analyzing information and situations. This competency is crucial in monitoring the product system development and its progress and evaluating its performance at the end. For example, using systems thinking skills, leaders can conceptualize the service delivered to patients and understand their impact on the Health facility and the public (Swanson et al., 2020). Another crucial leadership competency that one must possess is social intelligence competency. This type of competency refers to recognizing, understanding, and using emotional information about others. Inspirational leadership is one of the skills used in this competency. However, with inspirational leadership skills, leaders can unite all the stakeholders and incentivize them to see the bigger picture. |
Prompt 5 – Theoretical/Conceptual Framework |
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Identify at least 1 relevant theory or concept that supports your vision. Be specific in your application of the theories/concepts. Remember to cite sources as needed. |
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Every organization, such as Tesla, must continuously innovate to remain dominant in an ever-competitive global market economy regarding the services it provides for its consumers. Organizations that have succeeded and existed for more than a century are those that innovate and develop new systems of delivery of services. This vision of Tesla has been motivated by the innovation theory of profit, which Joseph Alois Schumpeter coined. According to Schumpeter, the function of entrepreneurs is to develop, introduce innovation, and profit in the form of a reward for the service performance in the market. All these systems that any team intends to develop as our innovation would generate excellent service delivery, attracting more patrons and increasing earnings. Tesla is an electric automobile organization, and its mode of operation centers on the innovation theory of profit. Therefore, the new vision of developing the new automated system is in tandem with the theoretical framework upon which the facility functions (Di Nardo, 2020). innovation can easily result in developing a company that dominates the electric car market. |
References
Akakpo, A., Gyasi, E. A., Oduro, B., & Akpabot, S. (2019). Foresight, organization policies, and management strategies in electric vehicle technology advance at Tesla. Futures Thinking and Organizational Policy: Case Studies for Managing Rapid Change in Technology, Globalization and Workforce Diversity, 57-69. https://doi.org/10.1016/j.jclepro.2019.06.284
Buchel, B., Floreano, D. (2018). Tesla's problem: Overestimating automation, underestimating humans. https://www.imd.org/research-knowledge/articles/teslas-problem-overestimating-automation-underestimating-humans//
Di Nardo, M. (2020). Developing a conceptual framework model of Industry 4.0 for industrial management. Industrial Engineering & Management Systems, 19(3), 551–560. 10.7232/iems.2020.19.3.551
Foufa, N. (2022). 5 Benefits of Operational Optimization. https://www.sigmacomputing.com/blog/5-benefits-of-operational-optimization#:~:text=What%20is%20Operational%20Optimization%3F,cutting%20costs%20and%20maximizing%20performance.
Heinen, M., van Oostveen, C., Peters, J., Vermeulen, H., & Huis, A. (2019). An integrative review of leadership competencies and attributes in advanced nursing practice. Journal of advanced nursing, 75(11), 2378-2392.
Huang, S., Wang, G., Lei, D., & Yan, Y. (2022). Toward digital validation for rapid product development based on digital twin: a framework. The International Journal of Advanced Manufacturing Technology, 1-15.
Johari, J., Shamsudin, F. M., Zainun, N. F. H., Yean, T. F., & Yahya, K. K. (2022). Institutional leadership competencies and job performance: the moderating role of proactive personality. International Journal of Educational Management, (ahead-of-print).
Swanson, E., Kim, S., Lee, S. M., Yang, J. J., & Lee, Y. K. (2020). The effect of leader competencies on knowledge sharing and job performance: Social capital theory. Journal of Hospitality and Tourism Management, pp. 42, 88–96.
Thompson, A. (2018). Tesla, Inc.'s Operations Management: 10 Decisions, Productivity. https://panmore.com/tesla-motors-inc-operations-management-10-decisions-areas-productivity
Weiszbrod, T. (2020). Health care leader competencies and the relevance of emotional intelligence. The health care manager, 39(4), 190-196.
Zamani, E. D., Smyth, C., Gupta, S., & Dennehy, D. (2022). Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review. Annals of Operations Research, pp. 1–28.
Zhang, Y., Huang, T., & Bompard, E. F. (2018). Big data analytics in smart grids: a review. Energy Informatics, 1(1). https://doi.org/10.1186/s42162-018-0007-5
Copyright 2021 by University of Phoenix. All rights reserved.
Copyright 2021 by University of Phoenix. All rights reserved.