Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
Technology & Operations
Strategy / MBA Resources
Case Study SWOT Analysis Solution
Case Study Description of Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions
This set of cases (labeled A through M [UV1898 through UV1911]) presents various vignettes, each with a specific dilemma about genetic testing and the ethical issues and difficult decisions that this testing presents to patients, doctors, employers and employees. "A Note on the Human Genome Project" (UV1911) is about genetic testing which provides background and information on the issues.
Swot Analysis of "Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions" written by R. Edward Freeman, Stacy Pierce includes – strengths weakness that are internal strategic factors of the organization, and opportunities and threats that Testing Genetic facing as an external strategic factors. Some of the topics covered in Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions case study are - Strategic Management Strategies, Health and Technology & Operations.
Some of the macro environment factors that can be used to understand the Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions casestudy better are - – increasing transportation and logistics costs, talent flight as more people leaving formal jobs, digital marketing is dominated by two big players Facebook and Google, increasing energy prices, wage bills are increasing, banking and financial system is disrupted by Bitcoin and other crypto currencies, increasing inequality as vast percentage of new income is going to the top 1%,
increasing government debt because of Covid-19 spendings, geopolitical disruptions, etc
Introduction to SWOT Analysis of Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions
SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University , we believe that protagonist in Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions case study can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Testing Genetic, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Testing Genetic 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 Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions can be done for the following purposes –
1. Strategic planning using facts provided in Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions case study
2. Improving business portfolio management of Testing Genetic
3. Assessing feasibility of the new initiative in Technology & Operations field.
4. Making a Technology & Operations topic specific business decision
5. Set goals for the organization
6. Organizational restructuring of Testing Genetic
Strengths Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The strengths of Testing Genetic in Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions Harvard Business Review case study are -
Diverse revenue streams
– Testing Genetic is present in almost all the verticals within the industry. This has provided firm in Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions 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
- Testing Genetic 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 Testing Genetic is open place that encourages instructiveness, ideation, open minded discussions, and creativity. Employees and leaders in Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions Harvard Business Review case study emphasize – knowledge, initiative, and innovation.
Ability to recruit top talent
– Testing Genetic is one of the leading recruiters in the industry. Managers in the Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions are in a position to attract the best talent available. The firm has a robust talent identification program that helps in identifying the brightest.
Sustainable margins compare to other players in Technology & Operations industry
– Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions firm has clearly differentiated products in the market place. This has enabled Testing Genetic to fetch slight price premium compare to the competitors in the Technology & Operations industry. The sustainable margins have also helped Testing Genetic to invest into research and development (R&D) and innovation.
Successful track record of launching new products
– Testing Genetic has launched numerous new products in last few years, keeping in mind evolving customer preferences and competitive pressures. Testing Genetic 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.
Ability to lead change in Technology & Operations field
– Testing Genetic 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 Testing Genetic 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 Testing Genetic in the sector have low bargaining power. Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions has further diversified its suppliers portfolio by building a robust supply chain across various countries. This helps Testing Genetic to manage not only supply disruptions but also source products at highly competitive prices.
Innovation driven organization
– Testing Genetic is one of the most innovative firm in sector. Manager in Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions Harvard Business Review case study can use Clayton Christensen Disruptive Innovation strategies to further increase the scale of innovtions in the organization.
Organizational Resilience of Testing Genetic
– The covid-19 pandemic has put organizational resilience at the centre of everthing that Testing Genetic does. Organizational resilience comprises - Financial Resilience, Operational Resilience, Technological Resilience, Organizational Resilience, Business Model Resilience, and Reputation Resilience.
Effective Research and Development (R&D)
– Testing Genetic 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 Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions - staying ahead in the industry in terms of – new product launches, superior customer experience, highly competitive pricing strategies, and great returns to the shareholders.
Operational resilience
– The operational resilience strategy in the Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions Harvard Business Review case study comprises – understanding the underlying the factors in the industry, building diversified operations across different geographies so that disruption in one part of the world doesn’t impact the overall performance of the firm, and integrating the various business operations and processes through its digital transformation drive.
Strong track record of project management
– Testing Genetic is known for sticking to its project targets. This enables the firm to manage – time, project costs, and have sustainable margins on the projects.
Weaknesses Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The weaknesses of Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions are -
High operating costs
– Compare to the competitors, firm in the HBR case study Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions has high operating costs in the. This can be harder to sustain given the new emerging competition from nimble players who are using technology to attract Testing Genetic 's lucrative customers.
High cash cycle compare to competitors
Testing Genetic has a high cash cycle compare to other players in the industry. It needs to shorten the cash cycle by 12% to be more competitive in the marketplace, reduce inventory costs, and be more profitable.
Aligning sales with marketing
– It come across in the case study Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions 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 Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions can leverage the sales team experience to cultivate customer relationships as Testing Genetic is planning to shift buying processes online.
Skills based hiring
– The stress on hiring functional specialists at Testing Genetic has created an environment where the organization is dominated by functional specialists rather than management generalist. This has resulted into product oriented approach rather than marketing oriented approach or consumers oriented approach.
Workers concerns about automation
– As automation is fast increasing in the segment, Testing Genetic 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.
Capital Spending Reduction
– Even during the low interest decade, Testing Genetic 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.
High bargaining power of channel partners
– Because of the regulatory requirements, R. Edward Freeman, Stacy Pierce suggests that, Testing Genetic is facing high bargaining power of the channel partners. So far it has not able to streamline the operations to reduce the bargaining power of the value chain partners in the industry.
Low market penetration in new markets
– Outside its home market of Testing Genetic, firm in the HBR case study Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions needs to spend more promotional, marketing, and advertising efforts to penetrate international markets.
Slow to strategic competitive environment developments
– As Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions HBR case study mentions - Testing Genetic takes time to assess the upcoming competitions. This has led to missing out on atleast 2-3 big opportunities in the industry in last five years.
No frontier risks strategy
– After analyzing the HBR case study Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions, it seems that company is thinking about the frontier risks that can impact Technology & Operations strategy. But it has very little resources allocation to manage the risks emerging from events such as natural disasters, climate change, melting of permafrost, tacking the rise of artificial intelligence, opportunities and threats emerging from commercialization of space etc.
Need for greater diversity
– Testing Genetic 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 Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions | 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 Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions are -
Increase in government spending
– As the United States and other governments are increasing social spending and infrastructure spending to build economies post Covid-19, Testing Genetic can use these opportunities to build new business models that can help the communities that Testing Genetic operates in. Secondly it can use opportunities from government spending in Technology & Operations sector.
Better consumer reach
– The expansion of the 5G network will help Testing Genetic to increase its market reach. Testing Genetic 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.
Manufacturing automation
– Testing Genetic can use the latest technology developments to improve its manufacturing and designing process in Technology & Operations 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.
Redefining models of collaboration and team work
– As explained in the weaknesses section, Testing Genetic is facing challenges because of the dominance of functional experts in the organization. Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions case study suggests that firm can utilize new technology to build more coordinated teams and streamline operations and communications using tools such as CAD, Zoom, etc.
Reforming the budgeting process
- By establishing new metrics that will be used to evaluate both existing and potential projects Testing Genetic can not only reduce the costs of the project but also help it in integrating the projects with other processes within the organization.
Low interest rates
– Even though inflation is raising its head in most developed economies, Testing Genetic can still utilize the low interest rates to borrow money for capital investment. Secondly it can also use the increase of government spending in infrastructure projects to get new business.
Harnessing reconfiguration of the global supply chains
– As the trade war between US and China heats up in the coming years, Testing Genetic 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, Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions, to buy more products closer to the markets, and it can leverage its size and influence to get better deal from the local markets.
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 Testing Genetic 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.
Remote work and new talent hiring opportunities
– The widespread usage of remote working technologies during Covid-19 has opened opportunities for Testing Genetic to expand its talent hiring zone. According to McKinsey Global Institute, 20% of the high end workforce in fields such as finance, information technology, can continously work from remote local post Covid-19. This presents a really great opportunity for Testing Genetic to hire the very best people irrespective of their geographical location.
Finding new ways to collaborate
– Covid-19 has not only transformed business models of companies in Technology & Operations industry, but it has also influenced the consumer preferences. Testing Genetic can tie-up with other value chain partners to explore new opportunities regarding meeting customer demands and building a rewarding and engaging relationship.
Loyalty marketing
– Testing Genetic has focused on building a highly responsive customer relationship management platform. This platform is built on in-house data and driven by analytics and artificial intelligence. The customer analytics can help the organization to fine tune its loyalty marketing efforts, increase the wallet share of the organization, reduce wastage on mainstream advertising spending, build better pricing strategies using personalization, etc.
Creating value in data economy
– The success of analytics program of Testing Genetic has opened avenues for new revenue streams for the organization in the industry. This can help Testing Genetic to build a more holistic ecosystem as suggested in the Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions case study. Testing Genetic can build new products and services such as - data insight services, data privacy related products, data based consulting services, etc.
Buying journey improvements
– Testing Genetic can improve the customer journey of consumers in the industry by using analytics and artificial intelligence. Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions 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.
Threats Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The threats mentioned in the HBR case study Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions are -
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.
Learning curve for new practices
– As the technology based on artificial intelligence and machine learning platform is getting complex, as highlighted in case study Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions, Testing Genetic may face longer learning curve for training and development of existing employees. This can open space for more nimble competitors in the field of Technology & Operations .
Barriers of entry lowering
– As technology is more democratized, the barriers to entry in the industry are lowering. It can presents Testing Genetic with greater competitive threats in the near to medium future. Secondly it will also put downward pressure on pricing throughout the sector.
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 Testing Genetic business can come under increasing regulations regarding data privacy, data security, etc.
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 Testing Genetic in the Technology & Operations sector and impact the bottomline of the organization.
Shortening product life cycle
– it is one of the major threat that Testing Genetic is facing in Technology & Operations sector. It can lead to higher research and development costs, higher marketing expenses, lower customer loyalty, etc.
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. Testing Genetic needs to understand the core reasons impacting the Technology & Operations industry. This will help it in building a better workplace.
Trade war between China and United States
– The trade war between two of the biggest economies can hugely impact the opportunities for Testing Genetic in the Technology & Operations industry. The Technology & Operations industry is already at various protected from local competition in China, with the rise of trade war the protection levels may go up. This presents a clear threat of current business model in Chinese market.
Consumer confidence and its impact on Testing Genetic demand
– There is a high probability of declining consumer confidence, given – high inflammation rate, rise of gig economy, lower job stability, increasing cost of living, higher interest rates, and aging demography. All the factors contribute to people saving higher rate of their income, resulting in lower consumer demand in the industry and other sectors.
Stagnating economy with rate increase
– Testing Genetic can face lack of demand in the market place because of Fed actions to reduce inflation. This can lead to sluggish growth in the economy, lower demands, lower investments, higher borrowing costs, and consolidation in the field.
High dependence on third party suppliers
– Testing Genetic 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.
Technology acceleration in Forth Industrial Revolution
– Testing Genetic has witnessed rapid integration of technology during Covid-19 in the Technology & Operations industry. As one of the leading players in the industry, Testing Genetic needs to keep up with the evolution of technology in the Technology & Operations 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.
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.
Weighted SWOT Analysis of Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions 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 Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions 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 Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions 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 Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions 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 Genetic Testing and the Puzzles We Are Left To Solve (B): How Test Accuracy Levels Can Alter Decisions 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 Testing Genetic needs to make to build a sustainable competitive advantage.
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