Search results

The paper aims to analyse the extent of volatility and generating forecasts of exchange rates of British pound and Indian rupees in US terms.

This study applies different combinations of GARCH and EGARCH models suggested in the Econometric literature to capture the extent of volatility. The forecast of exchange rates of British Pound and Indian Rupees in US terms are generated applying artificial neural network (ANN) technique using different combination of networks with hyperbolic tangent function at hidden and output stage of the model.

The presence of volatility depicts that there is noise and chaos in the forex market. Prediction of exchange rate of the respective currencies underscores that exchange rates will increase marginally in near future.

The results proposed in this study will be benchmark for the hedgers, investors, bankers, practitioners and economists to foresee the exchange rate in the presence of volatility and design policies accordingly.

In literature, no study has applied ANN for forecasting exchange rate after measuring the extent of volatility. The present study is a unique contribution in the existing pool of literature to forecasts the concerned variable(s) after ascertaining the noise and chaos in the data by applying GARCH family models.

The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast customer satisfaction from the identified dimensions of service quality in India, a developing country.

The qualitative study is conducted with Internet banking users to understand e-banking clients' perceptions. The data is collected with the help of a questionnaire from randomly selected 208 customers in India. Firstly, factor analysis was performed to determine the influential factors of customer satisfaction, and four factors i.e. efficiency, reliability, security and privacy, and issue and problem handling were extracted accordingly. The neural network model is then applied to the factor scores to validate the key elements. Lastly, the comparative analysis of the actual ANN and the regression predicted result is done.

The success ability of the linear regression model is challenged when approximated to nonlinear problems such as customer satisfaction. It is concluded that the ANN model is a better fit than the linear regression model, and it can recognise the complex connections between the exogenous and endogenous variables. The results also show that reliability, security and privacy are the most influencing factors; however, problem handling and efficiency have the slightest effect on bank client satisfaction.

This research is conducted in India, and the sample is chosen from the urban area. The limitation of the purposeful sampling technique and the cross-sectional nature of the data may hamper the generalisation of the results.

The conclusions from the study will be helpful for policymakers, bankers and academicians. To our knowledge, few studies used ANN modelling to predict customer satisfaction in the service sector

Consumers can spend their disposable income on hedonic consumption or save for the future. Their preferences were altered by the prolonged life and livelihood-threatening experiences of the pandemic. This paper aims to study the spillover effect of the pandemic experience on consumer savings attitudes and hedonic purchase preferences in the new normal.

The authors conducted 35 in-depth interviews with consumers in India. The data were analysed thematically.

The results showed that when fear of life and negative emotions of the pandemic persisted, consumers became short-term focused, moved towards materialism and increased hedonic spending. Alternatively, individuals who faced substantial financial hardships resorted to an increased preference for savings. The relationship between changes in savings orientation and hedonic consumption was found to be moderated by consumer's individual differences in financial vulnerability and life history strategies.

As the trend towards increased hedonic consumption and preference for luxury products continues, the study findings can be used to devise effective marketing strategies to tap the emerging segment of mass luxury consumption.

Despite ample work being conducted in the hedonic consumption domain, it has not been studied in conjunction with savings orientation, a significant determinant. This research links personal savings orientation with hedonic spending and substantiates that purchase decisions are cognitively weighted as a choice of discretionary spending against the opportunity to save.

COVID-19 disrupted the lives of consumers across the globe, and the retail sector has been one of the hardest hits. The impact of COVID-19 on consumers' retail choice behaviour and retailers' responses has been studied in detail through multiple lenses. Now that the effect of COVID-19 is abating, there is a need to consolidate the learnings during the lifecycle of COVID-19 and set the agenda for research post-COVID-19.

Scopus database was searched to cull out academic papers published between March 2020 and June 6, 2022, using keywords; shopping behaviour, retailing, consumer behaviour, and retail channel choice along with COVID-19 (171 journals, 357 articles). Bibliometric analysis followed by selective content analysis was conducted.

COVID-19 was a black swan event that impacted consumers' psychology, leading to reversible and irreversible changes in retail consumer behaviour worldwide. Research on changes in consumer behaviour and consumption patterns has been mapped to the different stages of the COVID-19 lifecycle. Relevant research questions and potential theoretical lenses have been proposed for further studies.

This paper collates, classifies and organizes the extant research in retail from the onset of the COVID-19 pandemic. It identifies three retail consumption themes: short-term, long-term reversible and long-term irreversible changes. Research agenda related to the retailer and consumer behaviour is identified; for each of the three categories, facilitating the extraction of pertinent research questions for post-COVID-19 studies.

The purpose of this paper is to demonstrate the difference in firm performance between pollution prevention and pollution control strategies using a selected case study from the Indian leather industry.

This study followed a case study-based inductive research approach to validate the proposed preposition on field. The case-study analysis was based on qualitative and quantitative data. The authors developed a questionnaire and an interview protocol to capture the data about different industrial practices and motivation behind them. The study followed the concept of the triple bottom line approach for assessing the progress of the case firm on sustainability scale.

With the help of pollution preventive measures, such as replacement of salted skin with fresh skin and chromium salt with a phosphonium-based tanning agent, the case firm could overcome the biggest challenge of bringing down the level of total dissolved solid from 40,000 to 5,000 ppm in the raw effluent. Moreover, the firm has successfully recycled and converted tannery scraps and other waste into organic manure for internal use in its own plantations.

The findings of this study could not be generalized as these are based on a single case study.

This study presents an example of sustainable practices and their benefits to the Indian leather industry to follow.

COVID-19 pandemic-related Government restrictions on the movement of people resulted in consumers moving away from retail outlets. However, sporadic instances of an unexpected surge in retail buying happened across the world immediately after the lifting of such restrictions. This uncommon phenomenon, termed revenge buying, offered an opportunity to revive retail businesses. This paper applies Reactance Theory (RCT) and Self-determination Theory (SDT) to model consumers' revenge buying intentions.

Data was collected from 384 respondents in India using validated scales. The study used structural equation modelling for model testing.

COVID-19 restrictions resulted in autonomy need frustration in consumers, which induced psychological reactance and perceived stress. Psychological reactance positively impacted, while perceived stress negatively impacted revenge buying intentions. Thus, revenge buying was observed only when the psychological reactance was more than perceived stress.

This study, conducted in only one country with a limited convenience sample, limits the generalizability of findings.

This research model the psychological consequences of need frustration to explain the sporadic incidences of revenge buying in retail outlets. Further, it proposes sales recovery strategies for retailers in the immediate post-pandemic market scenarios. Retailers' strategies should focus on alleviating stress and anxiety because of health concerns, highlighting the retail buying experience to stimulate the need to visit the outlet and positioning retail buying as a potential reactance response by consumers.

Short-term changes in consumers' shopping behaviour due to the Covid-19 pandemic have been studied, but not the long-term effects. This study fills this gap by exploring the long-term changes in consumers' retail shopping behaviour, due to their experiences of the Covid-19 pandemic.

Qualitative data were collected from one hundred fifty-nine respondents, and grounded theory approach was applied for interpretation. Gioia thematic analysis method, open coding, and axial coding were used for analysis.

Individuals who positively approached their experiences during the Covid-19 demonstrated increased pro-sustainable and pro-environmental self-identity, resulting in sustainable consumption and a shift to online shopping. Individuals having overpowering negative experiences demonstrated heightened fear of missing out (FOMO), loss aversion, and rumination. While shopping, they demonstrated herd behaviour and shifted to online shopping.

This study highlights emotional and psychological mechanisms influencing long-term changes in consumer shopping preferences post Covid-19 pandemic. The generalizability of the findings is limited due to the study's exploratory nature and the sample size.

This study contributes to shopping behaviour literature by uncovering novel constructs of self-identity, loss aversion, FOMO, and rumination as antecedents to long-term shopping behaviour changes post-Covid-19. It provides a new conceptual model of consumers' shopping behaviour, which may be empirically validated.

The Quadrilateral Group for Security Dialogues (QUAD), comprising Japan, Australia, India, and the USA, has experienced a noteworthy escalation in both environmental depletion and economic performance over the preceding 2 decades. Consequently, it becomes crucial to outline strategies through which the QUAD can attain a harmonious equilibrium between sustainable economic growth and ecological well-being. This research endeavors to dissect the intricate relationships among trade globalization, regulatory quality, and environmental sustainability within the QUAD for the period 1990–2021. The study checks for the Pollution Haven Hypothesis (PHH), and Pollution Halo Effect Hypothesis (PHEH).

The long-run association is based on the autoregressive distributed lag (ARDL) model and bounds test approach to cointegration while divergence or convergence is studied with the help of decoupling index (DI). Results have been verified by applying serial correlation LM test, autoregressive conditional heteroskedasticity (ARCH), and cumulative sum of recursive residuals (CUSUM) tests to ensure the robustness and stability of the model.

The empirical results of this study affirm the applicability of the PHEH in the contexts of India, Japan, and the USA, whereas the PHH is validated in the case of Australia. Furthermore, the analysis reveals the existence of relative decoupling solely in the case of India. This testifies that the rate of growth of the Indian economy surpasses the rate of growth in ecological footprint (EF), indicating a relative reduction in the intensity of environmental impact per unit of economic growth.

The empirical findings of our study suggest that countries with effective regulatory systems are better positioned to control and mitigate the potential adverse environmental effects resulting from increased global trade. Thus, policymakers are prompted to reassess the development policies for sustainable economic growth that will minimize adverse environmental repercussions. The implication of the negative relation between urbanization and EF is paramount for policymakers in developing countries seeking strategies for balanced urban development that aligns with environmental sustainability.

The present study is a unique exploration of the impact of trade globalization and regulatory quality on EF, specifically on PHH/PHEH in the context of QUAD.

In 2006, four successful entrepreneurs decided to establish a world-class mega university. Initially, the project progressed slowly until Vineet Gupta was able to locate a small plot of land in Sonipat, Haryana. Forty-eight hours before the payment deadline, Ashish Dhawan and Sanjeev Bikchandani agreed to invest in their personal capital to kick start the project. They however suggested a pivot in favour of a smaller private liberal arts college. Meanwhile, Pramath Sinha, with prior experience in establishing the Indian School of Business launched a pilot through the Young India Fellowship (YIF). Dhawan and Bikchandani, through their extensive entrepreneurial networks, raised scholarships for the first two batches of the fellowship in the hope of attracting other donors to the board and getting a buy-in for Ashoka University. The team faced a number of challenges: managing the new model of collective philanthropy, recruiting faculty and finding jobs for the first undergraduate batch. At Ashoka University's first graduation ceremony in 2017 they wondered whether this model could revolutionise the higher education space like the IITs and IIMs had done for the country.

This case is designed to facilitate students to comprehend the challenges an e-commerce firm faces when it attempts to monetize data network effects. The challenges faced by Zomato are ideal for in-class debate and discussion. The following learning objectives can be fulfilled through this case: understanding the promises and issues raised by data network effects; comprehending the problems an e-commerce firm faces in re-configuration; illustrating the responsibility of an established e-commerce firm towards its stakeholders; and discussing how a firm should navigate its relationship with its stakeholders.

Zomato.com, the largest Indian food aggregator and delivery platform, was contemplating the launch of Zomato Instant, a 10-min food delivery. Currently, the company’s delivery model pivoted around delivering food within 30 min. Recently, Zomato acquired Blinkit, an online grocery shopping app that was positioned to deliver groceries in 10 min. Deepinder Goyal of Zomato felt that customers would soon be more discriminant in demanding quicker services, as they might not be comfortable with 30-min deliveries. Hence, Zomato’s business model must also be re-configured to provide 10-min deliveries. Armed with access to customer data, Goyal predicted items that could be prepared and delivered within 10 min from its dark stores and automated kitchens. Although the model seemed promising and the company was upbeat about it, Zomato Instant faced challenges on several fronts. From the human angle, the decision was criticized on social media, mainly around the violation of road regulations, road safety issues and pressure on the delivery personnel to perform. Many delivery personnel had fled this gig work to join their pre-COVID jobs. Even the Competition Commission of India had established an inquiry into Zomato’s anti-competitive practices using customer data.

This case is best taught as part of a curriculum in management programmes at the post-graduate level, in courses such as e-commerce, e-retailing, business models for electronic commerce and online entrepreneurship/new age entrepreneurship. In terms of the positioning in the course, this case could be used to demonstrate the challenges of re-configuration of an online platform.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.