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The learning outcomes include to identify and discuss important personality characteristics of an entrepreneur, to explore the business planning pitfalls that torment many new ventures and to understand key concepts of business model thinking.

The case is about Fetakart, a one-year old venture, which offered custom designed and printed t-shirts in Gujarat, India. The venture was launched by Himanshu Dhadnekar in 2018. Himanshu was a young first-generation entrepreneur who displayed entrepreneurial characteristics since his school days. Later, he was involved with a few failed startups, worked as an employee in different companies and curated new ventures. Fetakart was born out of another venture, MotivPrints, which sold a large variety of custom designed and high-quality printed products such as visiting cards, office essentials, apparels, packaging and marketing material. At MotivPrints, Himanshu discovered the market for customized t-shirts in India but with very little knowledge of the business model or capabilities of leading players such as Bewakoof.com. The venture started struggling and faced several problems including high cost demands by manufacturers and lack of funding. Where did Fetakart go wrong? Was Fetakart born out of impulse? Did Himanshu have a viable business model for Fetakart?

The case can be discussed in the class of entrepreneurship at master’s level. It can also be used in entrepreneurship specialization course and strategic management elective(s) in the second year of post-graduation. The case can be particularly useful for young entrepreneurs associated as incubatees with a business incubator and for an executive development program related to new ventures.

Teaching Notes are available for educators only.

CSS 3: Entrepreneurship.

The case helps learn various aspects of entrepreneurship, startups and startup-ecosystem in India. It also talks about challenges that a startup entrepreneur faces that others or people potential to enter business can learn. It develops one to identify diverse and holistic solutions for overcoming these challenges. Apply and explain strategies suitable to business management.

After facing lot of difficulties in personal life, Mr Mitesh Shethwala started an e-commerce business named Alagrand.com. This Ahmedabad city-based startup for selling apparels and accessories for all age group is doing so well that the valuation of company has gone beyond Rs. 20 crores. In spite of the high valuation, company is facing problem of funds and investments. The protagonist of the company has lot of plans for growing business and taking it to next level that can happen only if he gets funds for the business. The case talks about issue of investment and funding of this startup company. The company also has issues in the area of setting standard operating procedures and marketing.

Teachers can discuss this case study for various subjects like Strategic Management, Retail Management, Digital Marketing and Product and Brand Management that are taught to the students of management courses at graduate and post-graduate levels. Academicians and students should read current information and data regarding setting up startups, investment and capital budgeting related to startups and funding methods.

Teaching Notes are available for educators only.

CSS 3: Entrepreneurship.

The study explores the current research trends within the responsible leadership (RL) domain and proposes a future research agenda by conducting an extensive review of past research. The study aims to understand recent developments in theories, constructs and contexts in RL literature.

Scopus database is used for the data collection on RL and patterns from 1998–2022. In total, 138 articles were covered for a systematic literature review (SLR) of RL behaviors. Further, the search was extended, and 109 more articles were included for bibliometric analysis of RL using R software. In total, 247 papers were reviewed.

The results present the consequences and antecedents of RL behaviors with external and internal stakeholders. Literature also indicates that researchers are more attentive to empirical studies with internal stakeholders, such as responsible leaders' impact on employee outcomes. Among theories, stakeholder theory's normative integrative and instrumental perspectives are used with RL.

The first limitation of the study is that this study collected data only from the Scopus database and the choice of language was English. Future studies may use other databases, languages and keywords. Instrumental and integrative RL behavioral styles would help balance organizations' financial and social goals.

This research enhances the literature on RL by combining content and bibliometric analysis to develop a more systematic and comprehensive understanding of integrative and instrumental leadership behaviors.

Manufacturing organization has adopted the concept of sustainability to improve the performance of product and process as well as to focus on environmental issues. Despite technological advancements and awareness, there exist several performance obstacles for the implementation of sustainable manufacturing in an organization. The objective of the current study is to identify the performance obstacles, propose a structural model and validate the proposed model.

Twelve performance obstacles are identified through critical literature review and discussion with field experts. Primary and secondary factor analysis, that is, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), are used for the creation of the structural model, and further, structural equation modeling is used as a validating tool. EFA deals with the categorization of all performance obstacles in four major criteria, and CFA works for proposing a model for a relationship among all obstacles.

A validated structural model is provided through hypothesis acceptance for structural equation modeling. The outcome of this study can be helpful for decision-makers to incorporate sustainable practices in the manufacturing organization.

This study has extracted and identified performance obstacles for the implementation of sustainable manufacturing based on critical literature review and discussion with field experts. The study proposes as well as validates the structural equation model.

This article examines the preliminary impact of the Sars-CoV-2 pandemic on India's economic and budgetary landscape – the most affected developing country from the first wave of the pandemic. It also includes a discussion of the monetary and fiscal responses adopted and the challenges faced in formulating the response to the pandemic.

Using high-frequency economic and fiscal indicators, this article evaluates the economic impact of the pandemic on the Indian economy. Further, it uses data from government sources and news to highlight the measures adopted at the national and subnational level in response to the pandemic.

The difficult economic conditions prior to the pandemic limited the fiscal space available to the government. As a result, the national and subnational governments have been cautious of accumulating excessive debt and have primarily responded with liquidity-enhancing measures, in addition to some fiscal measures for the most vulnerable. Overdependence on consumption taxes has led to unprecedented revenue shortfalls prompting the exploration of new avenues for revenue generation and implementation of austerity measures – some of which may be counterproductive in the long run.

The paper highlights the policy response of the largest democracy that has been hit hard by the pandemic. It also highlights various institutional and resource constraints that influenced the policies adopted. India's experience in responding to the virus could provide lessons for other developing countries.

This study aims to identify and prioritize the key practices and strategies for effective global sourcing and supply chain management (SCM).

The study uses a combination of Pareto analysis and multi-objective optimization based on ratio analysis research methodology to analyze and establish the relationships among the identified key practices and strategies. Pareto analysis enables organization to prioritize organizational efforts and resources by focusing on the most critical factors.

The study shows that the “eco-friendly sourcing strategy”, “lean manufacturing” and “tool cost analysis” are the top critical practices and strategy variables for global sourcing and SCM, whereas the “risk management”, “procurement strategy” and “leverage digital solutions” are the critical practices and strategy variables.

The findings of this research can also assist organizations in making informed decisions to optimize their global sourcing and supply chain operations.

By using these methods, this research paper gives valuable insights into the critical practices and strategies that can enhance efficiency, mitigate risks and drive success in global sourcing and SCM. The subjects and elements this study identified will serve as a framework and suggestions for further theoretical investigation and real-world implementations.

Though academic study on the subject is still in its early stages, there is growing interest in using blockchain technology for transforming the supply chain. The academic literature is divided and yet only includes studies evaluating how the supply chain has changed organizations. To comprehend the new phenomena, this study aims to investigate the factors of blockchain technology in driving supply chain transformation. To be more precise, the authors developed from the literature the most prevalent criteria for determining if supply chain transformations are ready to be scaled up.

This study followed a combination of two multi-criteria decision making methods evaluation based on distance from average solution and complex proportional assessment) methodology in this research: planning, investigating, executing out, establishing a rating of the criteria and evaluating it.

The study shows that the “organizational driver” and the “technology driver” are the factors most important to the transformation of the supply chain, whereas the “financial driver” and the “regulatory driver” are less important. This study also makes some managerial recommendations to address the factors impeding the supply chain’s transformation. Each factor’s significance was explored, and a proposed study agenda was also presented.

Although the main forces behind the transformation of the supply chain have been recognized, further research into statistical correlation is required to confirm how the various elements interact.

This research aids decision-makers in comprehending the key forces behind supply chain transformation. Managers and decision-makers might better predict and allocate the necessary resources to start the road toward digitization and make well-informed choices once these aspects have been investigated and understood.

In light of the pandemic’s effects on the world and the increase in businesses embracing the digital economy, the supply chain transformation is more important than ever. Beyond blockchain deployment and the pilot studies on digital transformation, there is a gap. The topics and factors this study uncovered will operate as a framework and recommendations for more theoretical investigation and practical applications.

The healthcare sector in India is witnessing phenomenal growth, such that by the year 2022, it will be a market worth trillions of INR. Increase in income levels, awareness regarding personal health, the occurrence of lifestyle diseases, better insurance policies, low-cost healthcare services, and the emergence of newer technologies like telemedicine are driving this sector to new heights. Abundant quantities of healthcare data are being accumulated each day, which is difficult to analyze using traditional statistical and analytical tools, calling for the application of Big Data Analytics in the healthcare sector. Through provision of evidence-based decision-making and actions across healthcare networks, Big Data Analytics equips the sector with the ability to analyze a wide variety of data. Big Data Analytics includes both predictive and descriptive analytics. At present, about half of the healthcare organizations have adopted an analytical approach to decision-making, while a quarter of these firms are experienced in its application. This implies the lack of understanding prevalent in healthcare sector toward the value and the managerial, economic, and strategic impact of Big Data Analytics. In this context, this chapter on “Predictive Analytics in Healthcare” discusses sources, areas of application, possible future areas, advantages and limitations of the application of predictive Big Data Analytics in healthcare.

With the ever-growing population in the urban areas, the concept of smart cities started to be more present in the literature. Smart cities are seen as a solution that will respond to the needs of providing a sustainable place for living, and at the same time improving residents’ lives. To achieve this, various information and communication technologies (ICTs) are exploited, making the digitalization in the modern world of an immense importance. Advanced digital technologies enable the transformation of existing and the creation of new business models, the development of new products and services, increase the efficiency and competitiveness of the economy, and contribute to wider socio-economic development. Digitization of society and the economy through innovative and intensive use of ICTs has great potential for growth and is the basis for further development and competitiveness. This all generates an enormous amounts of data sets from which useful information are generated and used again the decision support systems. This chapter presents two examples from Slovenia where big data is used for improving residents’ lives, as part of the strategies for smart cities.

During the COVID-19 pandemic, many working mothers in India adopted involuntary telecommuting work option for the first time. However, no research explored their adjustments and experiences in the new work setting. This paper aims to gain an in-depth understanding of Indian working mothers' lived experience of involuntary telecommuting.

A phenomenological research design was adopted. The authors conducted 14 in-depth, semi-structured telephonic and online interviews. Data were analyzed using Interpretative Phenomenological Analysis framework.

The data analysis yielded two interconnected superordinate themes in this research: (1) characteristics of involuntary telecommuting and (2) the impact of involuntary telecommuting. Under the first theme, four sub-themes emerged: long working hours, increased family demands, reduced interaction with coworkers and technology-enabled communication with supervisors. The second theme comprised five sub-themes: time-based work interference with family, time-based family interference with work, strain-based family interference with work, absence of emotional and professional support and performance management concerns. Involuntary telecommuting mothers faced challenges due to lack of control over their daily work schedule and demands, along with an increased burden of unpaid household work, leading to difficulties in managing their work schedule and negotiating their professional role identity within the family. These findings emphasize that working mothers who participated in involuntary telecommuting encountered bidirectional time-based conflicts and unidirectional strain-based conflict.

The study examines a particular subset of women telecommuters who were working mothers with young children. These potential limitations are to be addressed in future research.

The findings suggest that managers should develop HR policies and telecommuting ecosystems in order to enhance effectiveness of telecommuting. Specifically, organizations offering telecommuting work options should create opportunities for informal interaction among peers and formal one-to-one interaction with managers. Moreover, HR managers should develop and implement employee-friendly telecommuting policies.

The research contributes to HRM and gender literature.

The paper contributes to the discourses of work-life balance, workplace relationships and work policies within telecommuting literature.