DB FPX 8710 Assessment 2 Evidence for Gap in Practice
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Capella University
DB-FPX8710 Strategy and Innovation: Theorizing, Crafting, Executing
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Submission Date
Evidence for Gap in Practice
The identification and addressing of gaps in practice is an important aspect of success and performance in today’s competitive environment. Recently, an auto parts company called Kensington Auto Parts has been experiencing some major issues that have impacted the company’s market share and overall performance. The problems discussed include lack of innovation, lack of strategic planning, and inefficiency in operations (Kensington Auto Parts, n.d.). The aim of this assessment is to identify and evidence any issues and gaps in practice within Kensington Auto Parts. It is important to recognize these gaps in order to develop effective strategies that can lead to the company’s future growth, competitiveness, and sustainability.
Gap in Practice Properly Aligns with the Specific Problem
There are a couple of strategies that Kensington Auto Parts should use to overcome their revenue and market share problems. The specific problem is that Kensington Auto Parts has been losing 3% market share in the past year, due to a number of factors (Kensington Auto Parts, n.d.). These factors include competition in the industry, lack of operating efficiencies, lack of growth and innovation plans, lack of strategic planning, and lack of leadership practices (Kensington Auto Parts, n.d.). The disconnect in the practice creates difficulties because of the absence of real-time business intelligence information and the lack of strategic resources that are needed for making better-informed decisions around brand selection and acquisition opportunities (Kensington Auto Parts, n.d.). It has led to a lost competitive advantage, sustainability, and has failed to grow a customer base outside the U.S. brick-and-mortar shops.
The proposed gap in practice is appropriate in relation to the problem identified, as it affects the company’s strategic decision making that leads to growth and competitiveness. For example, VP Sales Doug Jordan has not had available current data on business intelligence, which has impacted the company’s efforts to sell higher-margin, newer brands, resulting in lost sales and market share opportunities (Kensington Auto Parts, n.d.). Likewise, Director of Business Development and Acquisition Peggy Dean has not had the necessary resources to explore potentially favorable acquisition opportunities, which further hurts competitiveness (Kensington Auto Parts, n.d.). In this regard, the gap should be bridged by offering the organization the new business intelligence and strategic resources crucial for enhancing its strategic planning and implementation. The proposed insights do not provide information on other issues; rather, they make it the right gap to focus on.
Assumptions
For the rationale, the assumption is that Kennsington Auto Parts Company cannot make informed decisions without having up-to-date business intelligence data and strategic resources. Another is that giving the leaders the tools to find and pursue better margin brands and profitable acquisition targets will improve their leadership skills (Kensington Auto Parts, n.d.). These gaps will be directly filled and will help to enhance strategic planning and execution. The insights will be used to address operational inefficiencies with the help of the directors and promote growth (Kensington Auto Parts, n.d.). These assumptions are rooted in the market share loss, competitive disadvantage and the lack of proper leadership practices in the company.
Discuss Two Examples of Current Practitioner Literature
The study of the gap in practice at Kensington Auto Parts indicates that there are a lack of current business intelligence data and strategic resources that are a major problem for the company. Niu et al. (2021) conducted a study that revealed that companies that use advanced business intelligence tools experience a 42% increase in revenue as a result of their leaders’ improved decision-making skills. The study is relevant to the needs of Kensington Auto Parts as they need up-to-date business intelligence information to help them in making informed decisions about their business. The findings of the study suggested that filling the identified gap will result in improved financial performance and positioning of Kensington Auto Parts. According to a report by McKinsey & Company (2023), companies that have established strong strategic resource allocation processes can increase the company value by two times and have greater chances of outperforming its rivals. The article validated the idea that by giving strategic resources to leaders such as Doug Jordan and Peggy Dean, Kensington Auto Parts can be much better equipped to take advantage of market opportunities and gain better market share and sustainability.
Using the proposed gap, an implementation of integrated business intelligence and strategic resource management system can be considered a project of interest that can solve a need in the workplace. The project would include the introduction of cutting-edge analytics platforms for real-time market information and a detailed resource allocation structure (McKinsey & Company, 2023). It would enable informed decision making and strategic planning by the leaders or directors to meet the critical needs of market share and competitive advantage of Kensington Auto Parts.
Distinguishes the Examples from Other Articles
A good thing about the examples is that they focus on the actual consequences of BI and strategic resource allocation on business performance, rather than on the details of BI or strategic resource allocation themselves. The outcomes of Niu et al. (2021) gave quantifiable evidence of increased revenue as a result of advanced business intelligence tools which strongly supports the use of such tools. Moreover, the McKinsey & Company (2023) report pointed to the considerable performance improvements that are possible with effective strategic resource allocation and effective leadership skills. The articles discussed are unique in that they provide actionable, specific information based on data instead of articles that are more broadly applicable but don’t necessarily apply to the specific issues at Kensington Auto Parts.
Role of Removing Your Personal Biases is Important
For any effective decision-making and sustainable results, removing personal biases in the topic and project discovery process is crucial. Eliminating personal bias will lead to unbiased research and decisions, which will be objective and credible. Dongen and Sikorski (2021) proposed that personal biases might be confusing and could result in a misrepresentation of the essence of the issue, or the best solutions. It is important to recognise and address these biases so that researchers can approach the topic with an open mind, and taking all relevant data and perspectives into account (Dongen & Sikorski, 2021). To create strategies that are really effective and transferable to real world business scenarios, it is crucial to maintain objectivity (Dongen & Sikorski, 2021). For example, in a company like Kensington Auto Parts, bias-free analysis helps to understand how resource gaps and business intelligence are affecting the business and contributing to loss of market share. Popovic and Huecker (2023) stated that bias-free analysis guarantees that the suggestions are grounded in actual proof and not in predispositions or opinions. Impartiality helps to ensure the credibility of the results and to build up comprehensive and pragmatic solutions, which can effectively fill the gaps identified. Ultimately these results help the business to achieve its goals and objectives.
Pros and Cons of the Proposed Project
Pros:
- Improved Decision-Making: The adoption of an integrated business intelligence and strategic resource management system will enable Kensington Auto Parts to make real-time data analysis and make informed and better strategic decisions (Adewusi et al., 2024).
- Competitive Advantage: Better data analysis and resource management can lead to the discovery of market opportunities and trends, providing a competitive advantage to the company.
- Increased Efficiency: Streamline operations and optimize resource management, which can result in cost savings and enhanced profitability and sustainability (Adewusi et al., 2024).
- Market Share Growth: The identified gaps may be bridged for market share recovery and growth by making strategic decisions that resonate with the prevailing market demands (Adewusi et al., 2024).
Cons:
- High Initial Costs: Implementing advanced analytics tools and systems can be costly and may involve a large initial investment (Ranjan & Foropon, 2021).
- Implementation Complexity: ntegration of new systems into existing processes can be complex and time-consuming, which may cause disruption during the transition period (Ranjan & Foropon, 2021).
- Training Requirements: The employees will require training to be able to work with the new tool and systems which may require additional time and resources (Ranjan & Foropon, 2021).
- Risk of Resistance: Resistance from employees who are used to current processes may be an obstacle to successful implementation of the new system.
Conclusion
The lack of business intelligence and strategic resources at Kensington Auto Parts is a critical issue that needs to be addressed to overcome the current market challenges. An integrated business intelligence and strategic resource management system can enable the company to take better decisions and bring out a better competitive positioning. Results are supported by the evidence from practitioner literature of effectiveness in improving performance. Although the project will be expensive and complex, the benefits outweigh those concerns. An emphasis on the gap will help to drive growth and operating efficiency, ensuring Kensington Auto Parts’ ongoing success.
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DB FPX 8710 Assessment 2
Below are the references used in DB FPX 8710 Assessment 2 Evidence for Gap in Practice:
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.
https://doi.org/10.51594/csitrj.v5i2.791
Dongen, N. van, & Sikorski, M. (2021). Objectivity for the research worker. European Journal for Philosophy of Science, 11(3).
https://doi.org/10.1007/s13194-021-00400-6
Kensington Auto Parts. (n.d.). Kensington Auto Parts: Business story. Media.capella.edu. Retrieved July 2, 2024, from
https://media.capella.edu/coursemedia/dbfpx8710element237251/wrapper.asp
McKinsey & Company. (2023). State of organizations 2023. McKinsey & Company.
https://www.mckinsey.com/~/media/mckinsey/business%20functions/people%20and%20organizational%20performance/our%20insights/the%20state%20of%20organizations%202023/the-state-of-organizations-2023.pdf
Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. B. (2021). Organizational business intelligence and decision making using big data analytics. Information Processing & Management, 58(6).
https://doi.org/10.1016/j.ipm.2021.102725
Popovic, A., & Huecker, M. R. (2023). Study bias. StatPearls Publishing LLC.
https://www.ncbi.nlm.nih.gov/books/NBK574513/
Ranjan, J., & Foropon, C. (2021). Big data analytics in building the competitive intelligence of organizations. International Journal of Information Management, 56(1).
https://doi.org/10.1016/j.ijinfomgt.2020.102231
Best Capella Professor to choose for
DB-FPX8710 Class
- Dr. Melissa Carter.
- Dr. Robert Hayes.
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DB FPX 8710 Assessment 2
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