Search results

The case study has been prepared for management students/business executives to understand electric vehicle (EV) business, business environment, industry competition and strategic planning and strategy implementation.

The size of the Indian passenger vehicle market was valued at US$32.70bn in 2021; it was projected to touch US$54.84bn by 2027 with a Compound Annual Growth Rate (CAGR) of more than 9% during the period 2022–2027. The passenger vehicle industry, a part of the overall automotive industry, was expected to grow at a rapid pace, as the Indian economy was rising at the fastest rate. However, the Government of India (GoI) had put a condition on the growth scenario by mandating that 100% of vehicles produced would be EVs by 2030. Tata Motors (TaMo), a domestic player in the market, had been facing a challenging competitive environment. Although it had been incurring losses, it had successfully ventured into the EV business. TaMo had taken advantage of the first mover by creating an electric mobility business vertical to enable the company to deliver on its aspiration of providing innovative and competitive e-mobility solutions. TaMo leadership had been putting efforts to scale up the electric mobility business, thus, contributing to GoI’s plan for electric mobility. Shailesh Chandra, president of electric mobility business, had a big task in hand. He had to scale up EV production and sales despite insufficient infrastructure for charging and shortages of electronic components for manufacturing.

The case study has been prepared for management students/business executives for strategic management class. It is recommended that the case study is distributed in advance so that the students can prepare well in advance for classroom discussions. Groups will be created to delve into details for a specific question. While one group will make their presentation, the other groups will question the solution provided and give suggestions.

Teaching notes are available for educators only.

CSS 11: Strategy.

The consumers want to purchase the target products in the right place, whereas the manufacturers want to allocate their possible products to optimal distribution channels. The manufacturer must know how to handle itself in this business. The study aims to examine the B2B channel decision-making with different product qualities in a non-cooperative supply chain.

The authors develop a B2B Manufacturer-Stackelberg game as an analytical framework, combining asymmetric preference of purchase channels choice by the consumers, a continuous quality setting of the manufacturer and differential channel structure to study the manufacturer’s product strategy and channel optimisation. By horizontal comparisons across four channel structures, product variety can be classified into the differential quality-level zone through exogenous quality intervention, and the preference of manufacturers in each quality-level zone within the structures can be ranked.

Theoretically and practically, the hybrid-channel structure should be completely neglected when the direct channel dominates the retail channel. In contrast, dual-channel structures dominate single channels irrespective of the channel power, and channel preferences between high-quality and low-quality zones are stable, whereas the preference in medium-quality zone is unstable. In addition, the supply chain system cannot achieve global Pareto improvement without any additional coordination mechanism between the manufacturer and the retailer.

The extended results by numerical examples suggest that the bigger the area of the medium-quality zone, the more significant the product variety of the manufacturer.

This study aims to investigate the relationship between consumer awareness of Zespri International Limited (Zespri™) and its sales promotion in Japan and the recent expansion of New Zealand (NZ) kiwifruit imported into Japan.

Tweets mentioning Zespri™ were utilised as a proxy of such awareness. They were first summarised using two text-mining techniques: tf-idf scoring and a co-occurrence network graph. Afterwards, the authors estimated a tri-variate vector autoregression (VAR) model consisting of the net imports of NZ kiwifruit in Japan, unit import price and number of tweets. Additionally, the occurrence frequency of tweets with “Kiwi Brothers”, promotional characters for Zespri™’s sales, was added to the model, and a tetra-variate VAR model was estimated. Finally, Granger-causality tests, an estimation of the impulse response function and forecast error variance decomposition was conducted.

All these variables were found to Granger-cause each other. Furthermore, a shock in the document frequency of “Kiwi Brothers” significantly affected Japan’s kiwifruit imports from NZ, explaining approximately 20% of future imports. Zespri™’s distinctive sales promotion was, thus, found to contribute in part to the recent increase in NZ’s kiwifruit export to Japan.

This paper is the first to apply text-regression methodology to food consumption research; it contributes to food consumption research by proposing a practical way to combine tweets with outcome variables using a time-series analysis.

In this chapter, we apply APPNIE to two case studies, BIOerg srl and LiMiX srl, which are innovative start-ups born in the Marche Region in Italy. The choice to analyse two companies in the same region is based on the fact that the surrounding ecosystem of innovation and entrepreneurship has a strong impact on the birth and subsequent development of innovative start-ups. Using these two case studies, this chapter shows the differences between SWOT and APPNIE analyses.

Madan Mohanka set up Tega Industries Ltd in 1976 to manufacture abrasion-resistant rubber mill lining products used in the mining and mineral processing industries. In 2006, as part of its inorganic expansion strategy, Tega bought a mill-liner company in South Africa. Buoyed by this growth, two acquisitions were made in Australia and Chile in the year 2011. However, post-acquisition, several managerial, legal and commercial problems crept up in its manufacturing facilities in Chile, leading to financial downturn in Tega's fortunes in 2016 and compelling it to either plan a revival or divest its interest in its Chilean Plant.

The case focuses on the establishment and development of LYFEN, a Chinese leisure food brand. LYFEN created a business model of “small packaging + store.” Through accurate analysis of consumer habits, it quickly became one of the major brands in China's leisure food industry. In the process of entrepreneurship, it grasped the economic opportunity during SARS and quickly bought a large number of stores at low prices, laying the foundation for the rapid development of the follow-up. At the same time, its active practice of introducing information construction also further improved the business's competitiveness. Case B mainly focuses on the external and internal environment of LYFEN after 2015. According to estimates made in 2014, LYFEN's online sales were supposed to double, but LYFEN was gradually falling behind the competition.

This study aims to determine the effects of consumers' perceptions of value and environmental concerns toward recycled content clothing on consumers' attitudes and purchase intentions toward these products.

The research methodology consisted of consumer survey. Female consumers registered in the labor market in the province of Konya in Turkey constituted the sample of the study. A total of 296 female consumers selected by a simple random sampling method, and taking into account time, cost and accessibility criteria, constituted the sample of the study.

Perceived customer values and environmental concerns were found to be much more effective on purchase intentions, although they were weak in positively affecting customers' attitudes toward recycled content clothing. Findings show that emotional, epistemic and conditional values and environmental concerns positively affect purchase intentions.

The sample in this study consisted of just female consumers with income in the city of Konya, Turkey. The results might be different in different demographic groups and different cities of Turkey.

Consumers have positive attitude toward the idea of using recycled fibers in their clothes.

The literature generally includes research examining consumers' behavior toward sustainable fashion. This research focuses on the value perceptions and attitudes of Turkish consumers toward recycled content clothing – a market and topic that have not been studied much before.

This paper studies the optimal decision-making and coordination problem of a dual-channel fresh agricultural product (FAP) supply chain. The purpose is to analyze the impact of information sharing on optimal decisions and propose a coordination mechanism to encourage supply chain members to share information.

The two-echelon dual-channel FAP supply chain includes a manufacturer and a retailer. By using the Stackelberg game theory and the backward induction method, the optimal decisions are obtained under information symmetry and asymmetry and the coordination contract is designed.

The results show that supply chain members should comprehensively evaluate the specific situation of product attributes, coefficient of freshness-keeping cost and network operating costs to make decisions. Asymmetric information can exacerbate the deviation of optimal decisions among supply chain members and information sharing is always beneficial to manufacturers but not to retailers. The improved revenue-sharing and cost-sharing contract is an effective coordination mechanism.

The conclusions can provide theoretical guidance for supply chain managers to deal with information asymmetry and improve the competitiveness of the supply chain.

This paper combines the three characteristics that are most closely related to the reality of supply chains, including horizontal and vertical competition of different channels, the perishable characteristics of FAPs and the uncertainty generated by asymmetric demand information.

Entrepreneurial ventures aspiring to disrupt existing market incumbents often use business-model innovation to increase the attractiveness of their offerings. A value proposition is the central element of a business model, and is critical for this purpose. However, how entrepreneurial ventures modify their value propositions to increase the attractiveness of their comparatively inferior offerings is not well understood. The purpose of this paper is to analyze the value proposition innovation (VPI) of aspiring disruptors.

The authors used a flexible pattern matching approach to ground the inductive findings in extant theory. The authors conducted 21 semi-structured interviews with managers from startups in the global electric vehicle industry.

The authors developed a framework, showing two factors, determinants and tactics, that play a key role in VPI connected by a continuous feedback loop. Directed by the determinants of cognitive antecedents, development drivers and realization capabilities, aspiring disruptors determine the scope, focus and priorities of various configuration and support tactics to enable and secure the success of their value proposition.

The authors contribute to theory by showing how cognitive antecedents, development drivers and capabilities determine VPI tactics to disrupt existing market incumbents, furthering the understanding of configuration tactics. The results have important implications for disruptive innovation theory, and entrepreneurship research and practice, as they offer an explanatory framework to analyze strategies of aspiring disruptors who increase the attractiveness of sustainable technologies, thereby accelerating their diffusion.

This case study was developed using data from secondary sources. The data was collected from the organization’s website, annual reports, press releases, published reports and documents available on the internet.

According to the International Energy Agency’s (IEA) World Energy Outlook (WEO), 775 million people worldwide would not have access to electricity even by 2022, with the majority of them living in sub-Saharan Africa (SSA) (Cozzi et al., 2022). In SSA, energy poverty had been a serious issue over the years. According to the IEA, 600 million people lacked access to electricity in 2019, while 900 million people cooked with traditional fuels (Cozzi et al., 2022). A World Bank report from 2018 said many SSA countries had energy access levels of less than 25% (Cozzi et al., 2022). Energy poverty in SSA hampered sustainable development and economic growth.

Despite significant efforts to address this poverty, Africa remained the continent with the lowest energy density in the world. Although solar and other energy-saving products were appealing, their adoption rates were modest, and their distribution strategies were not particularly effective. The lack of electricity exacerbated a number of socioeconomic problems, as it increased the demand for and use of wood fuel, which caused serious health problems and environmental harm.

While working in Uganda, Katherine Lucey (Lucey) saw that having no electricity had negatively affected women’s health in particular because it was women who were responsible for taking care of the home. These effects were both direct and indirect. The women’s reliance on potentially harmful fuels for cooking, such as firewood and charcoal, resulted in their suffering from respiratory and eye problems, in addition to other health issues. Furthermore, the distribution of energy-saving and renewable energy items was seen as the domain of men, and there was an inherent gender bias in energy decisions. Women were not encouraged to participate in energy decisions, despite the fact that they were the ones managing the home and would gain from doing so. In addition, because there was no light after dusk, people worked less efficiently. Lucey saw the economic and social difficulties that electricity poverty caused for women in rural Africa. She also witnessed how the lives of a few families and organizations changed after they started using solar products. This motivated her to start Solar Sister with the mission of achieving a sustainable, scalable impact model for expanding access to clean energy and creating economic opportunities for women.

Solar Sister collaborated with local women and women-centric organizations to leverage the existing network. Women were trained, provided all the necessary support and encouraged to become Solar Sister Entrepreneurs and sell solar products in their communities and earn a commission on each sale. To provide clean energy at their customers’ doorstep, the Solar Sister Entrepreneurs received a “business in a bag” – a start-up kit containing inventory, training and marketing assistance.

Solar Sister’s business model empowered the women in SSA by providing them with an entrepreneurship opportunity and financial independence. Also, the use of solar products helped them shift from using hazardous conventional cooking fuels and lead a healthy life. The children in their households were able to study after sunset, and people in the community became more productive with access to clean energy.

The COVID-19 pandemic outbreak, however, had a serious impact on Solar Sister. It found it challenging to mentor and encourage new business owners due to restrictions on travel and on group gatherings. The Solar Sisters were unable to do business outside the house either. Their source of income, which they relied on to support their families, was therefore impacted. The COVID-19 outbreak also slowed down the progress achieved by the community over the years and made household energy purchasing power worse. Furthermore, the organization was also grappling with other issues like limited access to capital, lack of awareness and infrastructural challenges. Another challenge lay in monitoring and evaluating the organization’s impact on the last mile.

In the absence of standardized measurement tools and issues in determining the social impact of Solar Sister, it would be interesting to see what approach Lucey will take to measure the impact of Solar Sister on the society. What measurement tool/s will Lucey implement to gauge the social impact of Solar Sister?

This case is intended for use in PG/Executive-level programs as part of a course on Social Entrepreneurship and Sustainability.