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Science City A (975) SWOT Analysis / TOWS Matrix / MBA Resources

Introduction to SWOT Analysis

SWOT Analysis / TOWS Matrix for Science City A (China)


Based on various researches at Oak Spring University , Science City A is operating in a macro-environment that has been destablized by – technology disruption, increasing transportation and logistics costs, increasing energy prices, banking and financial system is disrupted by Bitcoin and other crypto currencies, geopolitical disruptions, digital marketing is dominated by two big players Facebook and Google, talent flight as more people leaving formal jobs, there is backlash against globalization, competitive advantages are harder to sustain because of technology dispersion, etc



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Introduction to SWOT Analysis of Science City A


SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University, we believe that Science City A can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Science City A, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Science City A 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 Science City A can be done for the following purposes –
1. Strategic planning of Science City A
2. Improving business portfolio management of Science City A
3. Assessing feasibility of the new initiative in China
4. Making a Metal Mining sector specific business decision
5. Set goals for the organization
6. Organizational restructuring of Science City A




Strengths of Science City A | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

The strengths of Science City A are -

Innovation driven organization

– Science City A is one of the most innovative firm in Metal Mining sector.

Strong track record of project management in the Metal Mining industry

– Science City A is known for sticking to its project targets. This enables the firm to manage – time, project costs, and have sustainable margins on the projects.

High brand equity

– Science City A has strong brand awareness and brand recognition among both - the exiting customers and potential new customers. Strong brand equity has enabled Science City A to keep acquiring new customers and building profitable relationship with both the new and loyal customers.

Low bargaining power of suppliers

– Suppliers of Science City A in the Basic Materials sector have low bargaining power. Science City A has further diversified its suppliers portfolio by building a robust supply chain across various countries. This helps Science City A to manage not only supply disruptions but also source products at highly competitive prices.

Training and development

– Science City A has one of the best training and development program in Basic Materials industry. The effectiveness of the training programs can be measured in – employees retention, in-house promotion, loyalty, new venture initiation, lack of conflict, and high level of both employees and customer engagement.

Superior customer experience

– The customer experience strategy of Science City A in Metal Mining industry is based on four key concepts – personalization, simplification of complex needs, prompt response, and continuous engagement.

Organizational Resilience of Science City A

– The covid-19 pandemic has put organizational resilience at the centre of everthing Science City A does. Organizational resilience comprises - Financial Resilience, Operational Resilience, Technological Resilience, Organizational Resilience, Business Model Resilience, and Reputation Resilience.

Diverse revenue streams

– Science City A is present in almost all the verticals within the Metal Mining industry. This has provided Science City A 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.

Cross disciplinary teams

– Horizontal connected teams at the Science City A are driving operational speed, building greater agility, and keeping the organization nimble to compete with new competitors. It helps are organization to ideate new ideas, and execute them swiftly in the marketplace.

Highly skilled collaborators

– Science City A has highly efficient outsourcing and offshoring strategy. It has resulted in greater operational flexibility and bringing down the costs in highly price sensitive Metal Mining industry. Secondly the value chain collaborators of Science City A have helped the firm to develop new products and bring them quickly to the marketplace.

Operational resilience

– The operational resilience strategy of Science City A comprises – understanding the underlying the factors in the Metal Mining 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.

Sustainable margins compare to other players in Metal Mining industry

– Science City A has clearly differentiated products in the market place. This has enabled Science City A to fetch slight price premium compare to the competitors in the Metal Mining industry. The sustainable margins have also helped Science City A to invest into research and development (R&D) and innovation.






Weaknesses of Science City A | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis

The weaknesses of Science City A are -

No frontier risks strategy

– From the 10K / annual statement of Science City A, it seems that company is thinking out the frontier risks that can impact Metal Mining industry. 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.

Workers concerns about automation

– As automation is fast increasing in the Metal Mining industry, Science City A 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.

High cash cycle compare to competitors

Science City A has a high cash cycle compare to other players in the Metal Mining industry. It needs to shorten the cash cycle by 12% to be more competitive in the marketplace, reduce inventory costs, and be more profitable.

Slow to harness new channels of communication

– Even though competitors are using new communication channels such as Instagram, Tiktok, and Snap, Science City A is slow explore the new channels of communication. These new channels of communication can help Science City A to provide better information regarding Metal Mining products and services. It can also build an online community to further reach out to potential customers.

High bargaining power of channel partners in Metal Mining industry

– because of the regulatory requirements in China, Science City A 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 Metal Mining industry.

Interest costs

– Compare to the competition, Science City A has borrowed money from the capital market at higher rates. It needs to restructure the interest payment and costs so that it can compete better and improve profitability.

Compensation and incentives

– The revenue per employee of Science City A is just above the Metal Mining industry average. It 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.

Increasing silos among functional specialists

– The organizational structure of Science City A is dominated by functional specialists. It is not different from other players in the Metal Mining industry, but Science City A needs to de-silo the office environment to harness the true potential of its workforce. Secondly the de-silo will also help Science City A to focus more on services in the Metal Mining industry rather than just following the product oriented approach.

Ability to respond to the competition

– As the decision making is very deliberative at Science City A, in the dynamic environment of Metal Mining industry it has struggled to respond to the nimble upstart competition. Science City A has reasonably good record with similar level competitors but it has struggled with new entrants taking away niches of its business.

Slow to strategic competitive environment developments

– As Science City A is one of the leading players in the Metal Mining industry, it takes time to assess the upcoming competitions. This has led to missing out on atleast 2-3 big opportunities in the Metal Mining industry in last five years.

High dependence on Science City A ‘s star products

– The top 2 products and services of Science City A still accounts for major business revenue. This dependence on star products in Metal Mining industry has resulted into insufficient focus on developing new products, even though Science City A has relatively successful track record of launching new products.




Science City A Opportunities | External Strategic Factors
What are Opportunities in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis


The opportunities of Science City A are -

Leveraging digital technologies

– Science City A 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.

Harnessing reconfiguration of the global supply chains

– As the trade war between US and China heats up in the coming years, Science City A 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 Science City A to buy more products closer to the markets, and it can leverage its size and influence to get better deal from the local markets.

Creating value in data economy

– The success of analytics program of Science City A has opened avenues for new revenue streams for the organization in Metal Mining industry. This can help Science City A to build a more holistic ecosystem for Science City A products in the Metal Mining industry by providing – data insight services, data privacy related products, data based consulting services, etc.

Reforming the budgeting process

- By establishing new metrics that will be used to evaluate both existing and potential projects Science City A can not only reduce the costs of the project but also help it in integrating the projects with other processes within the organization.

Redefining models of collaboration and team work

– As explained in the weaknesses section, Science City A is facing challenges because of the dominance of functional experts in the organization. Science City A can utilize new technology in the field of Metal Mining industry to build more coordinated teams and streamline operations and communications using tools such as CAD, Zoom, etc.

Building a culture of innovation

– managers at Science City A can make experimentation a productive activity and build a culture of innovation using approaches such as – mining transaction data, A/B testing of websites and selling platforms, engaging potential customers over various needs, and building on small ideas in the Metal Mining industry.

Better consumer reach

– The expansion of the 5G network will help Science City A to increase its market reach. Science City A 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.

Loyalty marketing

– Science City A 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.

Changes in consumer behavior post Covid-19

– consumer behavior has changed in the Metal Mining industry because of Covid-19 restrictions. Some of this behavior will stay once things get back to normal. Science City A 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. Science City A 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.

Manufacturing automation

– Science City A can use the latest technology developments to improve its manufacturing and designing process in Metal Mining sector. 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.

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 Science City A 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.

Increase in government spending

– As the United States and other governments are increasing social spending and infrastructure spending to build economies post Covid-19, Science City A can use these opportunities to build new business models that can help the communities that Science City A operates in. Secondly it can use opportunities from government spending in Metal Mining sector.

Use of Bitcoin and other crypto currencies for transactions in Metal Mining industry

– The popularity of Bitcoin and other crypto currencies as asset class and medium of transaction has opened new opportunities for Science City A in the Metal Mining industry. Now Science City A can target international markets with far fewer capital restrictions requirements than the existing system.




Threats Science City A External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis


The threats of Science City A are -

Increasing wage structure of Science City A

– Post Covid-19 there is a sharp increase in the wages especially in the jobs that require interaction with people. The increasing wages can put downward pressure on the margins of Science City A.

Regulatory challenges

– Science City A 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 Metal Mining industry regulations.

High dependence on third party suppliers

– Science City A 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.

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 Science City A.

Instability in the European markets

– European Union markets are facing three big challenges post Covid – expanded balance sheets, Brexit related business disruption, and aggressive Russia looking to distract the existing security mechanism. Science City A will face different problems in different parts of Europe. For example it will face inflationary pressures in UK, France, and Germany, balance sheet expansion and demand challenges in Southern European countries, and geopolitical instability in the Eastern Europe.

Easy access to finance

– Easy access to finance in Metal Mining industry will also reduce the barriers to entry in the industry, thus putting downward pressure on the prices because of increasing competition. Science City A can utilize it by borrowing at lower rates and invest it into research and development, capital expenditure to fortify its core competitive advantage.

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.

Trade war between China and United States

– The trade war between two of the biggest economies can hugely impact the opportunities for Science City A in Metal Mining industry. The Metal Mining 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.

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 Science City A in the Metal Mining sector and impact the bottomline of the organization.

Learning curve for new practices

– As the technology based on artificial intelligence and machine learning platform is getting complex, Science City A may face longer learning curve for training and development of existing employees. This can open space for more nimble competitors in the field of Metal Mining sector.

Barriers of entry lowering

– As technology is more democratized, the barriers to entry to Metal Mining industry are lowering. It can presents Science City A with greater competitive threats in the near to medium future. Secondly it will also put downward pressure on pricing throughout the Metal Mining sector.

Consumer confidence and its impact on Science City A 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 Metal Mining industry and other sectors.

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.




Weighted SWOT Analysis of Science City A Template, Example


Not all factors mentioned under the Strengths, Weakness, Opportunities, and Threats quadrants in the SWOT Analysis are equal. Managers at Science City A 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 Science City A 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 Science City A 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 Science City A 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 Science City A needs to make to build a sustainable competitive advantage.



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