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Over the past two decades, the hub location domain has witnessed remarkable growth, yet no prior study reviewed and synthesised problem formulation and solution methodologies to address real-life challenges.

The current study conducts a comprehensive bibliometric literature review to develop a thematic framework that describes and presents hub location problems. The work employs cluster, bibliometric, and social network analyses to delve into the essential themes.

Key themes include cooperation, coopetition, sustainability, reshoring, and dynamic demand, contributing to the complex challenges in today’s hub location problems. As the first work in this field, the study serves as a valuable single-source reference, providing scholars and industry practitioners with key insights into the evolution of hub location research, prominent research clusters, influential authors, leading countries, and crucial keywords.

Findings have significant implications since they highlight the current state of hub location research and set the stage for future endeavours. Specifically, by identifying prominent research clusters, scholars can explore promising directions to push the boundaries of knowledge in this area.

This work is a valuable resource for scholars in this domain and offers practical insights for industry practitioners seeking to understand the hub location problems. Overall, the study’s holistic approach provides a solid foundation for advancing future research work in the hub location field.

This study aims to explore the impact of the containment measures during COVID-19 on individuals’ finances, financial resilience during such distress and identifying the most financially vulnerable among them. Tracing such impact during the pandemic has been challenging due to a lack of representative data. This paper addresses this gap in the present study.

A survey has been conducted using a structured questionnaire containing various items that portray the impact on income, spending, saving, investment, borrowing, insurance and retirement. The sample consists of 699 respondents and purposive and snowball sampling has been used for data collection. The results are presented and analyzed using infographics and frequency distributions. This study conducts an analysis of variance and Chi-square tests for significance.

This paper finds a fall in income and limited ability to cope with the current economic conditions. The survey highlights inadequate savings and insurance, weak retirement planning, outstanding loans and under-diversified investments inhibiting financial resilience even among the higher-income group. Particularly, lower-income strata, women and not much educated are most financially vulnerable. Further, no substantial financial benefits have been received from the government and people rely on their usual income sources.

To the best of the authors’ knowledge, this is the first study that measures the pandemic’s impact on personal finances, especially in connection with a developing economy like India. Policy interventions are critical to the millions for whom financial literacy is required now more than ever.

In an industrial robotic cell, the optimal layout planning problem needs critical analysis, as it indirectly affects the manufacturing time and cost involved in the production process. This paper aims to propose a generic three-step robotic cell layout planning method and aims to enhance the adaptability of robotic manufacturing cell in small-scale industries.

The method uses the data generated from the point cloud modeling and simulation of the objects (machines and robot) to optimize their positions and orientations in the cell. The simulated annealing algorithm has been used to solve the optimization problem with minimum joint displacement criterion. This approach is critically analyzed and discussed against the data collected from an industrial robotic cell in a foundry shop of a pipe manufacturing industry.

More than 50 per cent reduction in the net joint movement of the robot has been achieved. Immediate feedback of the results by a three-dimensional view of the optimal cell layout without using any commercial robotic simulation package.

The layout optimization of an industrial robotic cell based on the point cloud modeling of its objects is the novelty of the method.

After reading and discussing the case, the participants would be able to: apply 7S and VRIO framework for online furniture retail; evaluate the profitability of horizontal versus vertical marketplaces for selling furniture online; articulate the challenges faced by online furniture retailers; discuss the applicability of technology to enhance customer experience in online furniture retail; and discuss the omni-channel strategy which online furniture companies can adopt.

Although furniture has traditionally been an unorganized category, the online furniture platforms have been on an upward curve since past few years. Digitization of economy and usage of smartphones to access internet had given a thrust to online purchases. This case on Wakefit Innovations Private Limited is intended to provide the readers with the business and marketing insights of selling furniture using online platform. The readers will be able to understand how retailing furniture using e-commerce is full of challenges and how various marketing activities have helped Wakefit improve their customer base. The readers can discuss the advantages and disadvantages of horizontal versus vertical e-commerce marketplaces and various challenges associated with online furniture retailing. Whether Wakefit should continue setting up experience centres and the benefits that could accrue by usage of virtual reality, augmented reality and data analytics are additional dimensions which can be discussed by the readers. The case will benefit the professionals in understanding the challenges and marketing strategies used by online furniture retailers and the same can be replicated by other players in this sector.

This case is suitable for students enrolled for full credit course on e-commerce at post graduate level. The case can be discussed towards the middle of the course once the students have studied different formats of e-commerce marketplace.

Teaching notes are available for educators only.

CSS 8: Marketing.

After completion of the case study, students will be able to decipher key concepts underpinning sustainable entrepreneurship and its application in the recognition and exploitation of sustainable business opportunities, decipher the application of circular economy business models, understand the pivots to achieve the billion-dollar valuation and analyse the strategies for value creation during the pivoting journey of a startup.

The case study traces the journey of Phool.Co, a sustainable biomaterial startup based in a Tier II city of Kanpur located in the state of Uttar Pradesh, India, by Ankit Agarwal in 2017. Agarwal started with the vision of providing solution to the effects of water pollution and environmental damage. Ganga is not just a river, rather it is the symbol of cultural and religious faith in India. Although the river Ganga is considered a deity in India, it is one of the most polluted rivers. Every year 8,000,000 metric tonnes of waste flowers are dumped into the sacred river to pollute it further. The pollution poses grave dangers to the health and livelihood of millions of Indians. Phool.Co is a sustainable enterprise that has pioneered flower cycling technology. The dumped flowers are recycled to produce organic incense sticks, Florafoam, and “Fleather – the organic alternative to leather”. The case study traces the genesis of Phool.Co and its approach towards sustainability in the context of the circular economy. The case study primarily explores the pivot points for a startup to enter the unicorn club in the present context. To achieve the desired valuation, Agarwal must decide to rethink its business model. Will franchise model work for Phool.Co? Should Agarwal scale up with commercialization of Florafoam to capitalize the opportunity in packaging industry? Vegan leather is a nascent market and how will the consumers respond to Fleather is a pertinent question. The case study attempts to explore the challenges encountered in augmenting the valuation of sustainable enterprises.

This case study is suitable for graduate and postgraduate students enrolled in courses related to entrepreneurship, innovation and sustainability. The case study is of intermediate-level difficulty. There are no specific prerequisites to understand the case.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

The purpose of this study is to investigate the role of blockchain technology in reducing online fraud among Gen Y and Gen Z.

This study uses a two-phase approach. Firstly, a systematic literature review is conducted to examine various aspects of blockchain technology and cyber security. Secondly, the Technology Adoption Model is used to study the adoption dynamics of blockchain-based platforms for online data exchange among 415 Gen Y and Z users.

The results indicate that efficiency and security, perceived ease of use, perceived usefulness, and trust have a positive effect on behavioral intention and attitude towards use. This is the first study to examine the role of blockchain technology to reduce fraud among Gen Y and Gen Z.

This study provides new insights into the adoption of blockchain-based platforms for online data exchange among Gen Y and Gen Z. The study highlights the critical areas of concern for the adoption of blockchain technology and provides managerial implications for fintech firms, banks, and e-commerce platforms. It is unique in its focus on the potential for blockchain technology to reduce fraud among Gen Y and Gen Z, which has not been previously explored in the literature.

Radish (Raphanus sativus) is valued for its nutritive and medicinal properties, but its juice is not palatable because of the pungent flavor. The purpose of this study is to optimize the blending process of radish juice by using sugarcane juice, herbal extract and salt concentration.

The statistical design provided 20 formulations; where herbal extract concentration varied from 0.5 to 2.5 per cent, sugarcane juice concentration from 20 to 50 per cent and salt concentration from 0 to 1.5 per cent.

The p = 0.05 was used to designate the statistical significance of all the responses under study. Different product formulations had total soluble solids (TSS) that ranged from 9.7 to 15.0°Brix, titratable acidity from 0.6 to 1.3%, pH from 3.3 to 4.0, reducing sugars from 0.6 to 0.8%, total sugars from 9.4 to 3.1%, total protein from 172.9 to 304.8 mg/100 ml, total phenols from 25.5 to 29.8 mg/100 ml, ascorbic acid from 10.4 to 19.8 mg/100 ml, antioxidant activity from 77.3 to 83.6% and overall acceptability from 5.6 to 7.7. Sugarcane juice concentration of 30%, herbal extract mixture and salt concentrations of 1 and 1.5%, respectively, were the optimized process conditions for the preparation of nutritional radish juice achieved with the best fit of desirability, i.e. 0.88. Cluster analysis revealed that concentration of sugarcane juice had the maximum significant effect on the quality characteristics of nutritional radish beverage as compared to the other two variables under study.

The developed product can help to promote the use of radish as a substrate for the beverage industry.

Reverse logistics (RL) is a strategic instrument across industries. The rapid evolution of online marketplaces has led to frequent product returns with variations across diversified businesses. These marketplaces have caused potential losses due to fraudulent returns, hence requiring a commitment of resources to RL. With information systems (IS) playing a role in improved supply chain performance, the purpose of this paper is to analyse the impact of a conceptualized IS framework on achieving RL strategic outcomes, under the individual moderating influence of resource commitment (RC) and return frequency.

Data have been collected through a questionnaire from top to middle management executives managing the supply chain, logistics and IS. Moderated regression analysis was conducted on the collected sample using Hayes’ (2013) process modeling.

The study depicts that IS capability, IS for logistics, IS partnership quality and IS for value addition lead to RL strategic benefits. Also, return frequency and RC act as relatively strong moderators with a negative impact. When analyzed for the individual IS constructs, RC has a stronger moderating impact than return frequency.

The IS usage framework can be used effectively by practitioners for enhancing strategic RL performances depending on variations in committed resources and return frequency for individual industries.

The study proposes an IS usage framework for achieving enhanced RL strategic outcomes and emphasizes on the moderating role played by RC and return frequency for producing the results.

This paper investigates the causality among gold prices, crude oil prices, bitcoin and stock prices by using daily data from January 2014 to December 2021. The study also examines the data during the COVID-19 outbreak from January 2020 to December 2021.

To estimate the long- and short-run causality, this study considers the nonlinear autoregressive distributed lag (NARDL) cointegration test.

The analysis found the existence of an asymmetric long-run cointegration among selected assets. Findings indicate that positive changes in bitcoin do not affect stock market in the long term. Changes in crude oil prices have a significant impact on stock prices. Moreover, it is observed that variations in the stock prices trigger a negative impact on gold prices. During the COVID-19 period, the study notices the presence of an asymmetric long-term cointegration between selected assets except bitcoin. Besides, findings revealed that negative price adjustments in gold lead to significant positive shocks in stock market.

These results provide critical information for policy performers and researchers to develop new strategies. Policy regulators can also consider the potential effects of the COVID-19 outbreak while developing strategies for investment decisions.

Tourism has been an important activity in the past. Today tourism is a high revenue generation industry in many countries. But recently, many destinations are suffering from overtourism. Overtourism is a real-life phenomenon experienced by destinations. Overtourism is defined as many tourists visiting a particular place simultaneously which has resulted in the falling or unacceptable quality of life. It is just the opposite of wellness tourism, a better place to live and a better place to visit. The term overtourism was first used on Twitter as #overtourism back in August 2012. In 2017 UNWTO ministers addressed overtourism at the World Travel Market. In the last few years, there have been anti-tourism movements in popular destinations such as Barcelona, Santorini and Copenhagen. These movements' main aim is the attention of press attraction and have led to different proposed actions by tourism decision-makers in making a policy to control overtourism. In recent years overtourism has become an important and discussed issue in media and academia. In this context, the term is still not widely defined and open to numerous discussions. This chapter aims to clarify the root causes of overtourism, the emergence of overtourism and how social media is responsible for and impacts overtourism. The methodology of this chapter is a general review literature of overtourism issues. The chapter states that the government poorly managed without a bigger political force and genuine knowledge of the government's difficulty and action are taking first in the tourism industry. This chapter identifies the social movement of overtourism raised by residents.