Overview
An important aspect of a change management strategy is to consider how different alternatives may impact future outcomes. Organizations often use the business case method to explore strategic alternatives as it helps simulate a real situation. Such simulations help with identifying business issues and provide critical information that organizations can then use to arrive at their own conclusions.
The VP of business development has asked you to analyze other organizations that have gone through the exit process. Doing so will help you identify common risks, challenges, and best practices related to mergers and acquisitions and apply this knowledge to guide the change management strategy of the life sciences organization. For example, if two merging organizations have extremely different communication styles or organizational cultures, it may often lead to conflict between the management and the employees. The same is true when one organization is acquiring another organization. Therefore, it is important that you identify all potential risks and challenges and include the best practices to avoid similar conflicts in your organization after it has been acquired.
You have decided to research a business case that may help you learn from the experiences of another organization.
The focus of your analysis should be on change management and the associated best practices that impacted the transformation of the organization in the case.
Prompt
Review the case study Bumpy Road Ahead: The Automotive Interiors Merger That Wasn’t. Next, consider the following steps to complete your analysis of the automotive case and apply your findings from the case analysis to your work in the life sciences organization in the course scenario.
Specifically, you must address the following criteria:
Case Study Review
Provide a brief overview of the two organizations in the case study that addresses the following:
Identify common characteristics of each organization.
Explain how the products and services of the two organizations differ.
Describe the key issues that affected the merger plan and its implementation.
What were the key issues related to organizational cultures and structural integration that created problems after the merger of the two organizations? Support your response with information from the case.
Evaluate the postmerger integration and change management strategies used in the case. Your response should address the following:
How did the key decision makers respond to the challenges with the postmerger integration?
What led to the challenges faced by the organization after the merger?
Could these challenges have been prevented using different change management strategies? Explain.
Recommendations
Based on your findings from the case study, describe specific areas that may lead to post-acquisition risks and challenges for the life sciences organization in the course scenario. Support your response.
Recommend change management best practices the life sciences organization can use for managing post-acquisition integration in a planned manner and avoid the risks and challenges you’ve identified above.
What to Submit
Submit a 3 to 5-page Word document using double spacing, 12-point Times New Roman font, and one-inch margins. Sources should be cited according to APA style. Consult the Shapiro Library APA Style Guide for more information on citations.
Category: Business
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Overview of Change Management Strategies for Mergers and Acquisitions: Lessons from the Automotive Industry
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“Examining Financial Performance and Customer Expectations in Capsim Simulation: A Comprehensive Analysis”
Submit a written paper that examines the following: Examine your three financial measures (KPIs) that you will track through your simulation (note – this assignment will repeat for every round that you run). Financial Measures can be found in the various reports that Capsim creates after you have completed a round. Include a 4th financial measure of your choice that adds to your understanding of the company’s performance. See page 1 of the Courier for some ideas for different financial measures to examine. In each round, you are making some of your decisions based on the Customer Buying Criteria – what do the customers expect in the products that they purchase? This information for each of your products in the five product segments can be found on pages 5-9 of the Courier. Report on a different Customer Buying Criteria each week. For example, for this assignment look at Size for your product Able in the Traditional segment. Identify the criteria, define the criteria (the Capsim Help & Support can help with this). Then explain what the customer expectations are and what you set for your product on that dimension. Finally, compare your position with the Customer expectations and how the competitors set that number for their products.
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The Impact of AI on Decision Support Systems in the Business World Enhancing Decision-Making in Uncertain Environments: The Role of Decision Support Systems “Exploring the Intersection of Technology and Healthcare: Applications of Expert Systems in Digestive Diseases, Competitive Intelligence, and Managerial Decision Making”
Rewriting a question without any quote or ai no any plagiarism The question
rtificial Intelligence in Decision Support System
In the new entrepreneurial set-up in which the focal point is on enhancing customer decision-making, the incorporation of Artificial Intelligence (AI) in Decision Support Systems (DSS) represents a tremendous soar forward. In the present-day commercial enterprise, characterized by rapid modifications, data-driven choice-making, and the need for agility, AI stands as an essential enabler.
Through application of advanced AI technologies like machine learning algorithms, professional structures, and natural language processing into DSS, businesses have effectively bridged the gap between the big data and interpretation of the customers responses (Gupta et al., 2022). Advancement in AI technology has not only improved analytical abilities of DSS but additionally made it simple to handle complex statistics evaluation, enabling decision-makers at all levels make informed choices backed by versed information insights.
One of the most effective ways AI can improve a DSS is by integrating of expert systems which is a specialized style of AI designed to simulate the choice-making potential of a human professional in precise fields (Medsker & Bailey, 2020). By embedding expert systems right into a DSS, designers can offer customers with get entry to specialized know-how and recommendations that they may not possess. For instance, in a scientific DSS, an AI-powered professional system can provide diagnostic hints based totally on signs and patient records, similar to how a seasoned doctor would. This functionality is particularly important in situations wherein the selection-maker lacks deep area-unique knowledge (Walek & Fojtik, 2020). The system can fill in information gaps, ensuring greater knowledge and accurate selection-making.
Implementing a device gaining knowledge of algorithms inside a DSS allows the device to investigate huge sets of facts, perceive styles (Wang et al., 2022), and make knowledgeable predictions or guidelines. These algorithms can sift through widespread quantities of records (Silva & Bação, 2023), a lot more than a human could realistically technique, to unearth insights and tendencies (Wang et al., 2022. For example, in economic selection-making, machine studying can expect marketplace trends based on ancient facts, supporting decision-makers to make informed investment picks (Walek & Fojtik, 2020). This issue of AI is specifically precious in fields characterized using large volumes of data and complex variables because it affords a stage of analytical depth and foresight that a choice-maker without substantial analytical education would possibly lack.
Natural Language Processing permits a DSS to apprehend, interpret, and respond to human language in a more advanced manner. The Knowladge of AI is used in designing a devices that have the capacity to handle various data from one or more sources (Nehme & Feldman, 2021). For example, a DSS prepared with NLP can permit customers to question the device in local language (Wang et al., 2022). Application of this technology in business field makes the system of greater importance to customers and sellers even without learning programming (Gupta et al., 2022). With the introduction of AI, accessibility is enhanced, ensuring that decision-makers can fully leverage the machine’s capabilities without being hindered by a steep learning curve or technical limitations.
Addressing uncertainty in each statistic and dating even as designing and enforcing a Decision Support System (DSS) is a multi-faceted undertaking that requires a nuanced technique (Kucuksari et al, 2023). Uncertainty can stem from various properties, which include incomplete records, hastily converting market situations, or complex interpersonal dynamics within an enterprise (Kucuksari et al, 2023). Effective manipulation and analysis of records, which is significant for addressing informational uncertainty, is finished via strong facts control and analytics (Kucuksari et al, 2023). This entails designing a machine that might control various records kinds from more than one source. Advanced statistics analytics gear, inclusive of predictive analytics and system learning algorithms, can be hired to find out patterns and tendencies in facts, even when it’s far incomplete (Gupta et al., 2022). This device can provide insights that would be hard or not possible to parent manually. For example, in a market with fluctuating demand styles, a DSS organized with predictive analytics can forecast developments, despite apparent randomness within the records.
In addressing uncertainties, the DSS has scenario evaluation and simulation strategies abilities that allow decision-makers to discover numerous what-if scenarios and understand how choices might also play out underneath distinct occasions (Li et al., 2022). For example, in an organisation planning context, a DSS could simulate the effect of various funding techniques beneath extremely good market conditions, helping choice-makers understand the functionality dangers and rewards of each approach.
With the first evolving entrepreneurial environment, actual-time selection aid is vital as it enables decision-makers to make informed selections hastily. A DSS needs to therefore be capable of providing real-time assistance, processing new records as it become available, and updating its guidelines as a result (Gupta et al., 2022). This should consist of integrating with stay facts feeds, enforcing actual-time analytics algorithms, and providing an intuitive, patron-first-rate interface that we could choose-makers understand and act at the DSS’s suggestions straight away (Nehme & Feldman, 2021). For instance, in a supply chain context, a DSS should display real-time inventory statistics and advocate restocking selections to avoid shortages and overstock conditions.
A Decision Support System (DSS) plays a crucial and varied role when it comes to managing uncertainty. At its core, it relies on robust record-keeping and analytical capabilities, thorough evaluation of different situations, simulation methods, and support for making decisions in real-time. By utilizing sophisticated analytical tools and machine learning algorithms, a DSS is adept at identifying patterns within complex or incomplete data, offering meaningful insights. Additionally ADS uses SAS techniques enhances its ability to provide real-time decision support is a key feature, enabling decision-makers to swiftly adapt to evolving circumstances. In summary, a well-developed DSS is an indispensable asset for informed decision-making, particularly in situations of uncertainty, aiding in driving success across various sectors.
References
Gupta, S., Modgil, S., Bhattacharyya, S., & Bose, I. (2022). Artificial intelligence for decision support systems in the field of operations research: review and future scope of research. Annals of Operations Research, 1-60. https://link.springer.com/article/10.1007/s10479-0… Kucuksari, S., Pamucar, D., Deveci, M., Erdogan, N., & Delen, D. (2023). A new rough ordinal priority-based decision support system for purchasing electric vehicles. Information Sciences, 647, 119443. https://www.sciencedirect.com/science/article/pii/… Li, H., Ren, Z., Fan, M., Li, W., Xu, Y., Jiang, Y., & Xia, W. (2022). A review of scenario analysis methods in planning and operation of modern power systems: Methodologies, applications, and challenges. Electric Power Systems Research, 205, 107722. https://www.sciencedirect.com/science/article/pii/… Medsker, L. R., & Bailey, D. L. (2020). Models and guidelines for integrating expert systems and neural networks. In Hybrid architectures for intelligent systems (pp. 153-171). CRC Press. https://www.taylorfrancis.com/chapters/edit/10.120… Nehme, F., & Feldman, K. (2021). Evolving role and future directions of natural language processing in gastroenterology. Digestive diseases and sciences, 66, 29-40. https://link.springer.com/article/10.1007/s10620-0… Silva, D., & Bação, F. (2023). MapIntel: A visual analytics platform for competitive intelligence. Expert Systems, 40(10), e13445. https://onlinelibrary.wiley.com/doi/abs/10.1111/ex…
Walek, B., & Fojtik, V. (2020). A hybrid recommender system for recommending relevant movies using an expert system. Expert Systems with Applications, 158, 113452. https://www.sciencedirect.com/science/article/pii/… Wang, J., Zhao, Y., Balamurugan, P., & Selvaraj, P. (2022). Managerial decision support system using an integrated model of AI and big data analytics. Annals of Operations Research, 1-18. https://link.springer.com/article/10.1007/s10479-0… -
“Improving Organizational Communication: Reflection and Action Plan”
Instructions
Shakespeare wrote, “Give thy thoughts no tongue.” It was his way of saying that one cannot do a respectable job of listening while you are talking. An essential element of an empowered and high-performance workplace is effective communication. One of the best ways to achieve effective communication is to recognize where most employees prefer to receive their information instead of where they actually got the information. Communication is a vital skill that leaders must develop to show the employees they lead and to inspire them with authenticity, transparency, and understanding. Communication is the real work of leadership. It is a fundamental element of how leaders accomplish their goals. One cannot become a great leader until one has mastered the art of being an exceptional communicator.
Download and complete the Organizational Climate QuestionnaireLinks to an external site.
In a one-page reflection paper, consider the following.
Out of the 10 dimensions of effective communication, which two stood out as the most positive and why? Which two presented opportunities for improvement and why? Based on your results, develop a five-point plan for organizational communication.
Write a couple of paragraphs as a reflection to what should be done to achieve the best communication possible.
Successful assignments will have the following.
Address all the questions from the prompt clearly. If you want to list the question as a title, answer it below; that would be acceptable.
Be no more than one page in length, double-spaced.
No additional spaces between paragraphs.
Paragraphs should be at least three sentences.
Indent paragraphs
Use 11pt Calibri or 12pt Times New Roman.
Use APA formatting and style guidelines, including a cover page (link for templateLinks to an external site.).
The questionnaire with the scoring results can be submitted in one word.doc
Do not forget to submit your assignment.
Please see the rubric below. -
“Problem-Solving and Decision-Making in Business: Utilizing Industry and Scholarly Sources”
Utilize information from industry and scholarly sources to inform problem-solving and decision-making. Please see the attachments for details. Word Template is to be used.
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Title: The Evolution and Distinction of Labor Law and Employment Law in the U.S. and the Concept of At-Will Employment
Grading Criteria:
Your paper must have a cover page and a separate reference page and be a minimum of two pages in length (500 words) double-spaced. Please include page numbers. Cover pages and reference pages do not count toward page number requirement. Max 25 points You must include a minimum of two sources. Of course, you may, and are encouraged to, use more than two. Your references cannot include your textbook. An effective and in-depth use of these sources must be evident with proper APA formatting of references in the reference section. Further, use of in-text citations when paraphrasing or quoting directly must be evident. Points will be deducted when citations and references are not in proper format and/or not used where it is evident that citations are needed. Max 25 points The body of your paper must adequately answer and develop the main points outlined below – course terms/vocabulary should be applied appropriately and examples should be used to illustrate the topics below. Max 25 points
Proper grammar, punctuation, and mechanics (i.e. spelling, capitalization, etc.) must be evident throughout the paper – for instance, the words: there, their, and they’re must be used properly or points will be deducted. Paper should appear to have been well-proofread. Max 25 points
Research the topics listed below. Using sources other than your book, address the following in your paper: Discuss the evolution and substance of labor law and employment law in the U.S. How do these two areas of law differ? Do labor law and employment law overlap at all? Identify and discuss some of the most important reasons you feel these bodies of law exist. (One page min.) Discuss the concept/doctrine of “at-will employment” and identify and discuss, in detail, at least two of the exceptions to this doctrine. Why do you think some jobs are “at-will” and others might not be? Are there benefits or drawbacks to either type of working arrangement? Explain. (One page min.) -
Analyzing Financial Measures and Customer Buying Criteria in CAPSIM Round 7 Introduction In CAPSIM, financial measures are crucial for tracking the performance of a company. These measures help in evaluating the company’s financial health and identifying areas for improvement. In
Instructions Round 7 in CAPSIM
Submit a written paper that examines the following: Examine your three financial measures (KPIs) that you will track through your simulation (note – this assignment will repeat for every round that you run). Financial Measures can be found in the various reports that Capsim creates after you have completed a round. Include a 4th financial measure of your choice that adds to your understanding of the company’s performance. See page 1 of the Courier for some ideas for different financial measures to examine. In each round, you are making some of your decisions based on the Customer Buying Criteria – what do the customers expect in the products that they purchase? This information for each of your products in the five product segments can be found on pages 5-9 of the Courier. Report on a different Customer Buying Criteria each week. For example, for this assignment look at Size for your product Able in the Traditional segment. Identify the criteria, define the criteria (the Capsim Help & Support can help with this). Then explain what the customer expectations are and what you set for your product on that dimension. Finally, compare your position with the Customer expectations and how the competitors set that number for their products. Length: 2-3 pages -
Title: “Applying Monte Carlo Simulation in Risk Management: A Case Study of a Construction Company” Case Study: The construction industry is known for its high-risk nature, with projects often facing unforeseen challenges and uncertainties. In order to mitigate these
Conduct research on an applied case study related to this week’s topic: Monte Carlo simulation, focusing on current applications, innovations or how it is being used in organizations. Then participate in the discussion by providing a short write-up in which you present the case study, a brief reflection or context about it, and state why it is relevant to the class. It should come from additional sources other than the book used for this class.
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“SWOT Analysis of [Company Name]: Identifying Strengths, Weaknesses, Opportunities, and Threats”
I need a SWOT analysis done with a table and report in APA format. You can pick the company it doesn’t matter to me I just need it done as my instructor is requesting in the uploaded files I sent you
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“Analyzing LGI’s Reduced Operational Efficiency and Recommending Strategies for Financial Improvement”
Today you will meet with your team to discuss the reasons for LGI’s reduced operational efficiency. The reduced efficiency has raised questions about the company’s income statement, balance sheet, and statement of cash flows. Answer the questions in the Project 1 Questions – Report Template document. Prepare your analysis report including recommendations for how the company can improve its financial situation.
To complete the analysis report for the project:
Read the instructions.
Answer all the questions.
Include your recommendations.
THINGS TO KEEP IN MIND 3.2: Employ mathematical or statistical operations and data analysis techniques to arrive at a correct or optimal solution.
3.4: Employ software applications and analytic tools to analyze, visualize, and present data to inform decision-making.
6.2: Evaluate strategic implications for domestic and international markets of an organization’s industry.
10.2: Analyze financial statements to evaluate and optimize organizational performance.
MAKE SURE YOUR NUMBERS ARE CORRECT ON THE EXCEL!