Note on Logistic Regression - The Binomial Case SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
Organizational Development
Strategy / MBA Resources
Case Study SWOT Analysis Solution
Case Study Description of Note on Logistic Regression - The Binomial Case
This note discusses logistic regression using binomial data. Also discussed is an explanation of how to estimate the parameters from logistic regression using Microsoft Excel (without any add-ins). The note is a follow up to Note on Logistic Regression, product #910E05, which discusses the case with Bernoulli data.
Swot Analysis of "Note on Logistic Regression - The Binomial Case" written by Hendrik Odegaard, Andrew Brennan includes – strengths weakness that are internal strategic factors of the organization, and opportunities and threats that Logistic Regression facing as an external strategic factors. Some of the topics covered in Note on Logistic Regression - The Binomial Case case study are - Strategic Management Strategies, Operations management and Organizational Development.
Some of the macro environment factors that can be used to understand the Note on Logistic Regression - The Binomial Case casestudy better are - – there is increasing trade war between United States & China, increasing household debt because of falling income levels, challanges to central banks by blockchain based private currencies, increasing energy prices, there is backlash against globalization, customer relationship management is fast transforming because of increasing concerns over data privacy, banking and financial system is disrupted by Bitcoin and other crypto currencies,
talent flight as more people leaving formal jobs, central banks are concerned over increasing inflation, etc
Introduction to SWOT Analysis of Note on Logistic Regression - The Binomial Case
SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University , we believe that protagonist in Note on Logistic Regression - The Binomial Case case study can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Logistic Regression, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Logistic Regression operates in.
According to Harvard Business Review, 75% of the managers use SWOT analysis for various purposes such as – evaluating current scenario, strategic planning, new venture feasibility, personal growth goals, new market entry, Go To market strategies, portfolio management and strategic trade-off assessment, organizational restructuring, etc.
SWOT Objectives / Importance of SWOT Analysis and SWOT Matrix
SWOT analysis of Note on Logistic Regression - The Binomial Case can be done for the following purposes –
1. Strategic planning using facts provided in Note on Logistic Regression - The Binomial Case case study
2. Improving business portfolio management of Logistic Regression
3. Assessing feasibility of the new initiative in Organizational Development field.
4. Making a Organizational Development topic specific business decision
5. Set goals for the organization
6. Organizational restructuring of Logistic Regression
Strengths Note on Logistic Regression - The Binomial Case | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The strengths of Logistic Regression in Note on Logistic Regression - The Binomial Case Harvard Business Review case study are -
Sustainable margins compare to other players in Organizational Development industry
– Note on Logistic Regression - The Binomial Case firm has clearly differentiated products in the market place. This has enabled Logistic Regression to fetch slight price premium compare to the competitors in the Organizational Development industry. The sustainable margins have also helped Logistic Regression to invest into research and development (R&D) and innovation.
Effective Research and Development (R&D)
– Logistic Regression has innovation driven culture where significant part of the revenues are spent on the research and development activities. This has resulted in, as mentioned in case study Note on Logistic Regression - The Binomial Case - staying ahead in the industry in terms of – new product launches, superior customer experience, highly competitive pricing strategies, and great returns to the shareholders.
Ability to recruit top talent
– Logistic Regression is one of the leading recruiters in the industry. Managers in the Note on Logistic Regression - The Binomial Case are in a position to attract the best talent available. The firm has a robust talent identification program that helps in identifying the brightest.
Superior customer experience
– The customer experience strategy of Logistic Regression in the segment is based on four key concepts – personalization, simplification of complex needs, prompt response, and continuous engagement.
High switching costs
– The high switching costs that Logistic Regression has built up over years in its products and services combo offer has resulted in high retention of customers, lower marketing costs, and greater ability of the firm to focus on its customers.
Training and development
– Logistic Regression has one of the best training and development program in the industry. The effectiveness of the training programs can be measured in Note on Logistic Regression - The Binomial Case Harvard Business Review case study by analyzing – employees retention, in-house promotion, loyalty, new venture initiation, lack of conflict, and high level of both employees and customer engagement.
Ability to lead change in Organizational Development field
– Logistic Regression is one of the leading players in its industry. Over the years it has not only transformed the business landscape in its segment but also across the whole industry. The ability to lead change has enabled Logistic Regression in – penetrating new markets, reaching out to new customers, and providing different value propositions to different customers in the international markets.
Low bargaining power of suppliers
– Suppliers of Logistic Regression in the sector have low bargaining power. Note on Logistic Regression - The Binomial Case has further diversified its suppliers portfolio by building a robust supply chain across various countries. This helps Logistic Regression to manage not only supply disruptions but also source products at highly competitive prices.
Successful track record of launching new products
– Logistic Regression has launched numerous new products in last few years, keeping in mind evolving customer preferences and competitive pressures. Logistic Regression has effective processes in place that helps in exploring new product needs, doing quick pilot testing, and then launching the products quickly using its extensive distribution network.
Organizational Resilience of Logistic Regression
– The covid-19 pandemic has put organizational resilience at the centre of everthing that Logistic Regression does. Organizational resilience comprises - Financial Resilience, Operational Resilience, Technological Resilience, Organizational Resilience, Business Model Resilience, and Reputation Resilience.
Diverse revenue streams
– Logistic Regression is present in almost all the verticals within the industry. This has provided firm in Note on Logistic Regression - The Binomial Case case study a diverse revenue stream that has helped it to survive disruptions such as global pandemic in Covid-19, financial disruption of 2008, and supply chain disruption of 2021.
Learning organization
- Logistic Regression is a learning organization. It has inculcated three key characters of learning organization in its processes and operations – exploration, creativity, and expansiveness. The work place at Logistic Regression is open place that encourages instructiveness, ideation, open minded discussions, and creativity. Employees and leaders in Note on Logistic Regression - The Binomial Case Harvard Business Review case study emphasize – knowledge, initiative, and innovation.
Weaknesses Note on Logistic Regression - The Binomial Case | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The weaknesses of Note on Logistic Regression - The Binomial Case are -
Employees’ incomplete understanding of strategy
– From the instances in the HBR case study Note on Logistic Regression - The Binomial Case, it seems that the employees of Logistic Regression don’t have comprehensive understanding of the firm’s strategy. This is reflected in number of promotional campaigns over the last few years that had mixed messaging and competing priorities. Some of the strategic activities and services promoted in the promotional campaigns were not consistent with the organization’s strategy.
Compensation and incentives
– The revenue per employee as mentioned in the HBR case study Note on Logistic Regression - The Binomial Case, is just above the industry average. Logistic Regression needs to redesign the compensation structure and incentives to increase the revenue per employees. Some of the steps that it can take are – hiring more specialists on project basis, etc.
Ability to respond to the competition
– As the decision making is very deliberative, highlighted in the case study Note on Logistic Regression - The Binomial Case, in the dynamic environment Logistic Regression has struggled to respond to the nimble upstart competition. Logistic Regression has reasonably good record with similar level competitors but it has struggled with new entrants taking away niches of its business.
Capital Spending Reduction
– Even during the low interest decade, Logistic Regression has not been able to do capital spending to the tune of the competition. This has resulted into fewer innovations and company facing stiff competition from both existing competitors and new entrants who are disrupting the industry using digital technology.
Products dominated business model
– Even though Logistic Regression has some of the most successful products in the industry, this business model has made each new product launch extremely critical for continuous financial growth of the organization. firm in the HBR case study - Note on Logistic Regression - The Binomial Case should strive to include more intangible value offerings along with its core products and services.
Aligning sales with marketing
– It come across in the case study Note on Logistic Regression - The Binomial Case that the firm needs to have more collaboration between its sales team and marketing team. Sales professionals in the industry have deep experience in developing customer relationships. Marketing department in the case Note on Logistic Regression - The Binomial Case can leverage the sales team experience to cultivate customer relationships as Logistic Regression is planning to shift buying processes online.
Slow to harness new channels of communication
– Even though competitors are using new communication channels such as Instagram, Tiktok, and Snap, Logistic Regression is slow explore the new channels of communication. These new channels of communication mentioned in marketing section of case study Note on Logistic Regression - The Binomial Case can help to provide better information regarding products and services. It can also build an online community to further reach out to potential customers.
Low market penetration in new markets
– Outside its home market of Logistic Regression, firm in the HBR case study Note on Logistic Regression - The Binomial Case needs to spend more promotional, marketing, and advertising efforts to penetrate international markets.
Workers concerns about automation
– As automation is fast increasing in the segment, Logistic Regression needs to come up with a strategy to reduce the workers concern regarding automation. Without a clear strategy, it could lead to disruption and uncertainty within the organization.
Lack of clear differentiation of Logistic Regression products
– To increase the profitability and margins on the products, Logistic Regression needs to provide more differentiated products than what it is currently offering in the marketplace.
Need for greater diversity
– Logistic Regression has taken concrete steps on diversity, equity, and inclusion. But the efforts so far has resulted in limited success. It needs to expand the recruitment and selection process to hire more people from the minorities and underprivileged background.
Opportunities Note on Logistic Regression - The Binomial Case | External Strategic Factors
What are Opportunities in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The opportunities highlighted in the Harvard Business Review case study Note on Logistic Regression - The Binomial Case are -
Leveraging digital technologies
– Logistic Regression can leverage digital technologies such as artificial intelligence and machine learning to automate the production process, customer analytics to get better insights into consumer behavior, realtime digital dashboards to get better sales tracking, logistics and transportation, product tracking, etc.
Lowering marketing communication costs
– 5G expansion will open new opportunities for Logistic Regression in the field of marketing communication. It will bring down the cost of doing business, provide technology platform to build new products in the Organizational Development segment, and it will provide faster access to the consumers.
Reconfiguring business model
– The expansion of digital payment system, the bringing down of international transactions costs using Bitcoin and other blockchain based currencies, etc can help Logistic Regression to reconfigure its entire business model. For example it can used blockchain based technologies to reduce piracy of its products in the big markets such as China. Secondly it can use the popularity of e-commerce in various developing markets to build a Direct to Customer business model rather than the current Channel Heavy distribution network.
Buying journey improvements
– Logistic Regression can improve the customer journey of consumers in the industry by using analytics and artificial intelligence. Note on Logistic Regression - The Binomial Case suggest that firm can provide automated chats to help consumers solve their own problems, provide online suggestions to get maximum out of the products and services, and help consumers to build a community where they can interact with each other to develop new features and uses.
Manufacturing automation
– Logistic Regression can use the latest technology developments to improve its manufacturing and designing process in Organizational Development segment. It can use CAD and 3D printing to build a quick prototype and pilot testing products. It can leverage automation using machine learning and artificial intelligence to do faster production at lowers costs, and it can leverage the growth in satellite and tracking technologies to improve inventory management, transportation, and shipping.
Creating value in data economy
– The success of analytics program of Logistic Regression has opened avenues for new revenue streams for the organization in the industry. This can help Logistic Regression to build a more holistic ecosystem as suggested in the Note on Logistic Regression - The Binomial Case case study. Logistic Regression can build new products and services such as - data insight services, data privacy related products, data based consulting services, etc.
Harnessing reconfiguration of the global supply chains
– As the trade war between US and China heats up in the coming years, Logistic Regression can build a diversified supply chain model across various countries in - South East Asia, India, and other parts of the world. This reconfiguration of global supply chain can help, as suggested in case study, Note on Logistic Regression - The Binomial Case, to buy more products closer to the markets, and it can leverage its size and influence to get better deal from the local markets.
Changes in consumer behavior post Covid-19
– Consumer behavior has changed in the Organizational Development industry because of Covid-19 restrictions. Some of this behavior will stay once things get back to normal. Logistic Regression can take advantage of these changes in consumer behavior to build a far more efficient business model. For example consumer regular ordering of products can reduce both last mile delivery costs and market penetration costs. Logistic Regression can further use this consumer data to build better customer loyalty, provide better products and service collection, and improve the value proposition in inflationary times.
Reforming the budgeting process
- By establishing new metrics that will be used to evaluate both existing and potential projects Logistic Regression can not only reduce the costs of the project but also help it in integrating the projects with other processes within the organization.
Learning at scale
– Online learning technologies has now opened space for Logistic Regression to conduct training and development for its employees across the world. This will result in not only reducing the cost of training but also help employees in different part of the world to integrate with the headquarter work culture, ethos, and standards.
Using analytics as competitive advantage
– Logistic Regression has spent a significant amount of money and effort to integrate analytics and machine learning into its operations in the sector. This continuous investment in analytics has enabled, as illustrated in the Harvard case study Note on Logistic Regression - The Binomial Case - to build a competitive advantage using analytics. The analytics driven competitive advantage can help Logistic Regression to build faster Go To Market strategies, better consumer insights, developing relevant product features, and building a highly efficient supply chain.
Better consumer reach
– The expansion of the 5G network will help Logistic Regression to increase its market reach. Logistic Regression will be able to reach out to new customers. Secondly 5G will also provide technology framework to build new tools and products that can help more immersive consumer experience and faster consumer journey.
Identify volunteer opportunities
– Covid-19 has impacted working population in two ways – it has led to people soul searching about their professional choices, resulting in mass resignation. Secondly it has encouraged people to do things that they are passionate about. This has opened opportunities for businesses to build volunteer oriented socially driven projects. Logistic Regression can explore opportunities that can attract volunteers and are consistent with its mission and vision.
Threats Note on Logistic Regression - The Binomial Case External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The threats mentioned in the HBR case study Note on Logistic Regression - The Binomial Case are -
High dependence on third party suppliers
– Logistic Regression high dependence on third party suppliers can disrupt its processes and delivery mechanism. For example -the current troubles of car makers because of chip shortage is because the chip companies started producing chips for electronic companies rather than car manufacturers.
Backlash against dominant players
– US Congress and other legislative arms of the government are getting tough on big business especially technology companies. The digital arm of Logistic Regression business can come under increasing regulations regarding data privacy, data security, etc.
Barriers of entry lowering
– As technology is more democratized, the barriers to entry in the industry are lowering. It can presents Logistic Regression with greater competitive threats in the near to medium future. Secondly it will also put downward pressure on pricing throughout the sector.
Aging population
– As the populations of most advanced economies are aging, it will lead to high social security costs, higher savings among population, and lower demand for goods and services in the economy. The household savings in US, France, UK, Germany, and Japan are growing faster than predicted because of uncertainty caused by pandemic.
Environmental challenges
– Logistic Regression needs to have a robust strategy against the disruptions arising from climate change and energy requirements. EU has identified it as key priority area and spending 30% of its 880 billion Euros European post Covid-19 recovery funds on green technology. Logistic Regression can take advantage of this fund but it will also bring new competitors in the Organizational Development industry.
Increasing international competition and downward pressure on margins
– Apart from technology driven competitive advantage dilution, Logistic Regression can face downward pressure on margins from increasing competition from international players. The international players have stable revenue in their home market and can use those resources to penetrate prominent markets illustrated in HBR case study Note on Logistic Regression - The Binomial Case .
Regulatory challenges
– Logistic Regression needs to prepare for regulatory challenges as consumer protection groups and other pressure groups are vigorously advocating for more regulations on big business - to reduce inequality, to create a level playing field, to product data privacy and consumer privacy, to reduce the influence of big money on democratic institutions, etc. This can lead to significant changes in the Organizational Development industry regulations.
Technology disruption because of hacks, piracy etc
– The colonial pipeline illustrated, how vulnerable modern organization are to international hackers, miscreants, and disruptors. The cyber security interruption, data leaks, etc can seriously jeopardize the future growth of the organization.
Technology acceleration in Forth Industrial Revolution
– Logistic Regression has witnessed rapid integration of technology during Covid-19 in the Organizational Development industry. As one of the leading players in the industry, Logistic Regression needs to keep up with the evolution of technology in the Organizational Development sector. According to Mckinsey study top managers believe that the adoption of technology in operations, communications is 20-25 times faster than what they planned in the beginning of 2019.
High level of anxiety and lack of motivation
– the Great Resignation in United States is the sign of broader dissatisfaction among the workforce in United States. Logistic Regression needs to understand the core reasons impacting the Organizational Development industry. This will help it in building a better workplace.
Capital market disruption
– During the Covid-19, Dow Jones has touched record high. The valuations of a number of companies are way beyond their existing business model potential. This can lead to capital market correction which can put a number of suppliers, collaborators, value chain partners in great financial difficulty. It will directly impact the business of Logistic Regression.
New competition
– After the dotcom bust of 2001, financial crisis of 2008-09, the business formation in US economy had declined. But in 2020 alone, there are more than 1.5 million new business applications in United States. This can lead to greater competition for Logistic Regression in the Organizational Development sector and impact the bottomline of the organization.
Easy access to finance
– Easy access to finance in Organizational Development field will also reduce the barriers to entry in the industry, thus putting downward pressure on the prices because of increasing competition. Logistic Regression can utilize it by borrowing at lower rates and invest it into research and development, capital expenditure to fortify its core competitive advantage.
Weighted SWOT Analysis of Note on Logistic Regression - The Binomial Case Template, Example
Not all factors mentioned under the Strengths, Weakness, Opportunities, and Threats quadrants in the SWOT Analysis are equal. Managers in the HBR case study Note on Logistic Regression - The Binomial Case needs to zero down on the relative importance of each factor mentioned in the Strengths, Weakness, Opportunities, and Threats quadrants.
We can provide the relative importance to each factor by assigning relative weights. Weighted SWOT analysis process is a three stage process –
First stage for doing weighted SWOT analysis of the case study Note on Logistic Regression - The Binomial Case is to rank the strengths and weaknesses of the organization. This will help you to assess the most important strengths and weaknesses of the firm and which one of the strengths and weaknesses mentioned in the initial lists are marginal and can be left out.
Second stage for conducting weighted SWOT analysis of the Harvard case study Note on Logistic Regression - The Binomial Case is to give probabilities to the external strategic factors thus better understanding the opportunities and threats arising out of macro environment changes and developments.
Third stage of constructing weighted SWOT analysis of Note on Logistic Regression - The Binomial Case is to provide strategic recommendations includes – joining likelihood of external strategic factors such as opportunities and threats to the internal strategic factors – strengths and weaknesses. You should start with external factors as they will provide the direction of the overall industry. Secondly by joining probabilities with internal strategic factors can help the company not only strategic fit but also the most probably strategic trade-off that Logistic Regression needs to make to build a sustainable competitive advantage.
