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Capital structure theory.

The case is meant for teaching and class discussion, and uses only secondary data based on published sources. The interpretation and perspectives presented are based solely on the secondary data.

This paper aims to help current and future managers understand capital structure theory and the various equity and debt finance options available for raising capital. It also examines the financial analysis and strategic management of black swan events. After the class discussion, students will understand how to financially and strategically manage a company during black swan events and also have a deep dive into capital structure analysis of a large company.

MBA/postgraduate/undergraduate courses on corporate finance or advanced corporate finance. Executive/management development programs and short duration Massive Open Online Courses on investment decision-making and advanced corporate finance. MBA/postgraduate/undergraduate courses on corporate strategy and economic environment and planning.

Entrepreneurship, internationalization, family-owned business management, strategic management.

MBA/postgraduate management program courses on family business management. The case can be taught at the beginning of the course to acquaint students with the dynamics of family-owned businesses. MBA/postgraduate/undergraduate courses on entrepreneurship. It can be used in the middle of the course to highlight the challenges presented by an entrepreneur due to change in the business environment and macroeconomic scenario. MBA/postgraduate course on strategic management. It can be used at the beginning of the course to introduce strategies for managing and sustaining growth of a business. MBA/postgraduate course on organizational development. It can be used in the middle of the course to help students understand the importance of designing an optimal organizational structure for a family business.

FragraAroma was an Indian fragrance company. Anil Gupta, the Founder and Managing Director of FragraAroma, and his sister Nisha were equal shareholders of the company. With changes in the Foreign Direct Investment Policy in 2013 in India, Anil and Nisha's husband Tarun had different expansion plans for FragraAroma. While Anil was planning to expand FragraAroma internationally, but his sister and her husband wanted diversification of the company's customer segment in the domestic market itself. The case is poised at the juncture, where Anil was facing a labyrinth of critical decisions. Would he go ahead with Tarun's expansion plan or stick to his plan of internationalization? Would his decision affect the harmony of the family? Was there a way that could enable him sailing his family and family business out of the doldrums?

This case is primarily about a family business and the dilemmas faced by the owner of that family business. The case captures the challenges faced by a family business in sustaining growth and competitiveness. The case can be used to understand how decisions are taken in a family-owned business. To understand the challenges faced by a family-owned business while developing and implementing its growth strategies. To understand the opportunities and challenges presented to a family-owned businesses when macroeconomic scenarios change. To understand the spillover effects of business decisions on family relations in a typical family-owned business setup.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Patients are often ill‐equipped to know which speciality to choose for their health problem. Especially in the presence of non‐specific symptoms, choosing the right specialist might not be so obvious. In such cases, misdirected self‐referrals by patients to self‐chosen specialists can sometimes lead to misdiagnosis resulting in unwarranted delays in getting the right treatment. The general physicians, on the other hand, are in a unique position to oversee the big picture of patients’ health, and are therefore better equipped to identify and sort out their individual health problems. Hence instead of a specialist if the first place of contact for patients is a general physician, they are likely to be guided along the right path of treatment for their various health problems. Such a system will minimize errors on the part of the patients by making certain that they are referred to the appropriate specialists.

The primary aim of this study is to detail the use of soft computing techniques in business and management research. Its objectives are as follows: to conduct a comprehensive scientometric analysis of publications in the field of soft computing, to explore the evolution of keywords, to identify key research themes and latent topics and to map the intellectual structure of soft computing in the business literature.

This research offers a comprehensive overview of the field by synthesising 43 years (1980–2022) of soft computing research from the Scopus database. It employs descriptive analysis, topic modelling (TM) and scientometric analysis.

This study's co-citation analysis identifies three primary categories of research in the field: the components, the techniques and the benefits of soft computing. Additionally, this study identifies 16 key study themes in the soft computing literature using TM, including decision-making under uncertainty, multi-criteria decision-making (MCDM), the application of deep learning in object detection and fault diagnosis, circular economy and sustainable development and a few others.

This analysis offers a valuable understanding of soft computing for researchers and industry experts and highlights potential areas for future research.

This study uses scientific mapping and performance indicators to analyse a large corpus of 4,512 articles in the field of soft computing. It makes significant contributions to the intellectual and conceptual framework of soft computing research by providing a comprehensive overview of the literature on soft computing literature covering a period of four decades and identifying significant trends and topics to direct future research.

Multisided platforms (MSPs) have become omnipresent. Millennial consumers have taken well to MSPs. It has become imperative to explicate the process of adoption of MSPs by millennials. The purpose of this study is to comprehend the factors that lead to the adoption of MSPs by millennials beyond the factors identified in the technology acceptance model (TAM).

Data was collected from 252 respondents through a structured survey questionnaire to comprehend MSP adoption. Partial least squares structured equation modelling was applied for analysis.

The theoretical lens of TAM was applied for the study. Results indicated that over and above TAM, millennials’ intention to use of MSPs was moderated by ethical expectations, as well as ethnocentric thinking. The study, thus, extended TAM theoretical conversation by including factors of consumer ethnocentric behaviour and customer ethical considerations.

This study modifies the TAM factors theoretically by including two new factors, namely, customers’ ethical expectations and ethnocentric thinking.

This study results would help MSP firm managers comprehend the importance of consideration of consumer ethnocentric behaviour and customer ethical considerations. Thus, managers have to include in their MSPs’ aspects of customers’ ethical expectations and ethnocentric thinking while marketing their MSPs’ while doing business with millennials.

This was one of the first studies that extended TAM by adding the factors of ethical expectations and ethnocentric thinking in the context of MSP adoption for millennial customers.

Owning to the influence small retailers have on the customer’s final choice, the purpose of this paper is to investigate the factors that dominate small retailer’s assortment planning decisions. Drivers of product adoption by small retailers are the focus of study. Earlier research works have primarily focused on the profit oriented factors of retailing. It is a multidimensional approach of understanding the decision making of small retailers.

The study is an exploratory in nature, using a mixed method approach that involves both qualitative and quantitative methodology. In the first stage of the study, grounded theory has been adopted that helps in building a conceptual model, which is further validated using SEM. Rural areas of Jammu and Punjab have been targeted to collect data.

The study provides a conceptual model of product assortment planning for small retailers. The results indicate retail margin, which is the most important criterion toward product selection. Small retailers understand the customer profile and their catchment before selecting a product for their store. Store design is an important variable which impacts the number of categories kept in the store as the shelf space is limited. While determining the assortment planning for the store the retailers need to think in advance about buyer, supplier, environmental and the surplus oriented factors while determining the assortment planning for the store.

In developing economies like India, major population (customers) lie in the rural areas of the country and prefer small retailers to shop their daily necessities. The study proposed that the manufacturers need to maintain good and healthy relationship with the associates of the channel and the retailers that are in connected with the end consumer. Marketing managers of firms with target audience as small retailers can draw many inferences from the present study. They may devise rural strategies keeping attributes like localization of supplier, doorstep delivery, supply frequency, etc., on the basis of product demand and attribute.

This paper fulfills an identified need to explore the assortment planning criteria of BOP retailers in India. Also the mixed methodology is attractive and new in the retail domain.

This study proposed and tested three comprehensive models of the usage intention of proximity mobile payment services after a government regulation, by integrating the theory of planned behaviour (TPB) and the norm-activation model (NAM). The purpose of this paper is to investigate the effects of moral norms, merchant pro-activeness and perceived government regulation (demonetisation) on users’ continuance intention of proximity mobile payment services.

In total, 387 users of proximity mobile payment services in India were surveyed using a structured questionnaire. This study was carried out with shoppers in the Mumbai Metropolitan Region and New Delhi because of the diverse and large population of these cities.

The results of this study indicated that: integrating the variables of NAM into the original TPB model enhanced the prediction effect; perceived demonetisation regulation exerted a direct determinant effect as well as moderate effect on continuance usage intention of mobile payment services; also, extended TPB model with perceived demonetisation regulation as moderator could satisfactorily predict the continuance usage intention.

The results provided insightful evidence for the government and policymakers to outline more effective mandatory regulation policies.

This investigation attempts to enhance the theoretical understanding of the antecedents of in-store proximity mobile payment services after government regulation (demonetisation) in India.

Whey is a by-product of paneer, cheese and casein industry and considered as a dairy waste. Worldwide, approximately 180–1,900 million tons of whey is produced annually. Whey is classified as a high pollutant due to its organic matter level. Owing to its high chemical oxygen demand and biological oxygen demand, it is a big threat to the environment. Whey contains 4.5%–5.0% lactose, 0.6%–0.7% protein, 0.4%–0.5% lipids, vitamins and minerals. Due to its high nutritional profile, it is a good substrate for the microorganisms for production of natural pigments. The purpose of this paper is to review the utilization of low cost substrate (whey) for production of various types of pigments and their applications in different sectors.

The databases for the search included: Scopus, PubMed, Science Direct, Web of Science, Research gate and Google. The main search was directed towards different types of natural pigments, stability, technologies for enhancing their production and contribution towards circular economy. Approximately 100 research papers were initially screened. A global search was conducted about natural pigments. Research articles, review papers, books, articles in press and book chapters were the type of search for writing this review paper.

Production of natural pigments using whey and their addition in food products not only improves the colour of food but also enhances the antioxidant properties of food products, helping the health benefits by chelating free radicals from the body. The sustainable use of whey for production of natural pigments can improve the bio-based economy of different industries and thereof the national economy.

Efficient utilization of whey can bring a lot more opportunities for production of natural pigments in a sustainable manner. The sustainable approach and circular economy concepts will benefit the dependent industries and health conscious consumers. The potential uses of whey for the production of natural pigments using diverse organisms are highlighted in this paper.

The purpose of this paper is to provide an insight about factors affecting Big Data Analytics (BDA) utilization and adoption in Indian firms. Research studies have so far focused on BDA adoption in developed economies. This study examines the factors that influence BDA usage and adoption in the context of emerging economies.

This study proposed a theoretical model of factors influencing BDA utilization and adoption. Two independent research streams – first, the top managers’ perceived strategic value (PSV) in BDA and second, the factors that influence the adoption of BDA theoretically – have been integrated with the technology-organization-environment (TOE) framework. In the BDA context, there was a theoretical necessity to identify the driver and barriers of BDA from the TOE framework on PSV and adoption of BDA. A qualitative exploratory study using face-to-face semi-structured interviews was carried out to collect data from 22 different enterprises and service providers in India. India was selected as the context as it is one of the fastest growing large economies of the world with huge potential of BDA to improve the business landscape.

The results showed that the major reason behind BDA non-adoption is that the organizations did not realize the strategic value (SV) of BDA, and they were not ready to make the changes because of technological, organizational and environmental difficulties. The findings corroborate previous results about significant factors affecting IT adoption and implementation and provide new and interesting insights. The main factors identified as playing a significant role in organizations’ adoption of BDA were SV of BDA, complexity, compatibility, IT assets, top management support, organization data environment, perceived costs, external pressure and industry type.

The main limitation related to this study is the difficulty in generalizing the findings to a larger population of enterprises. To overcome this, a statistical survey has been planned to be conducted in the future.

The BDA adoption model in this study will have both managerial implications for practitioners in India, as well as those in other developing countries, and academic implications for researchers who are interested in BDA adoption in developing counties, in terms of formulating better strategies for BDA adoption. For managers, using the research model of this study could assist in increasing their understanding of why some organizations choose to adopt BDA, while similar ones facing similar conditions do not. Also, the understanding of the strategic utilization of BDA in different business processes may improve the adoption of BDA in organizations.

This paper contributes in exploring and enhancing the understanding of the factors affecting the utilization and adoption of BDA in organizations from an Indian perspective. This study is an attempt to develop and explore a BDA adoption model by the fusion of PSV and TOE framework. The effect of the three contexts of this framework (technological, organizational and environmental) on the strategic utilization of BDA has been studied for the first time.