Search results

Natural calamities like earthquakes, floods and epidemics/pandemics like COVID-19 significantly disrupt almost all the supply networks, ranging from medicines to numerous daily/emergency use items. Supply Chain Resilience is one such option to overcome the impact of the disruption, which is achieved by developing supply chain factors with Artificial Intelligence (AI) and Big Data Analytics (BDA).

This research examines how organizations using AI and BDA can bring resilience to supply chains. To achieve the objective, the authors developed the methodology to gather useful information from the literature studied and developed the Total Interpretive Structural Modeling (TISM) by consulting 44 supply chain professionals. The authors developed a quantitative questionnaire to collect 229 responses and further test the model. With the analysis, a conceptual and comprehensive framework is developed.

A major finding, this research advocates that supply chain resilience is contingent upon utilizing supply chain analytics. An empirical study provides further evidence that the utilization of supply chain analytics has a positive and favorable effect on the flexibility of demand forecasting to inventory management, resulting in increased efficiency.

Few studies demonstrate the impact of advanced technology in building resilient supply chains by enhancing their factors. To the best of the authors' knowledge, no earlier researcher has attempted to infuse AI and BDA into supply chain factors to make them resilient.

The Metaverse, an emergent Web 3.0 platform, offers users immersive virtual reality experiences. This study employs a case study approach to explore the concept of sustainability within the Metaverse. It examines the environmental, social, and economic implications of virtual interactions and the role of sustainable technologies in shaping user behavior and virtual economies. Through selected case studies, the research provides insights into the potential and challenges of integrating sustainable practices in the Metaverse, with implications for stakeholders ranging from policymakers to end-users.

This chapter reviews the Metaverse’s inception and digitalization’s impact on the fashion and apparel retail industry. This review demonstrates how digital clothing rooted in the Metaverse assists industry environmental sustainability, the planet, and consumers, providing business strategies for growth through research in theory and an analysis of practices. Virtual checkout uses digital tools to help marketers and designers better understand their target audience. In the foreseeable future, the Metaverse of our works will be a well-known and safe space for budding designers. Designers will find it much simpler to bring their concepts to life thanks to the immediate relationship that Metaverse technology creates with humans.

Eco-friendly methods and technology found in the Metaverse will transform the industry. Expanding acceptance of Metaverse could lead to a 97% decrease in the amount of carbon dioxide in approximately per item 4,000 L of water, reducing its carbon footprint by around thirty percent during the company’s design and development phases.

Digital apparel may be extremely helpful leading up to the real physical manufacturing of a garment, applied to sampling, marketing and modeling prior the actual variants are put into manufacturing, significantly lowering the environmental impact of a clothing item’s entire lifecycle. Computer-generated representations of clothing cannot replace real garments entirely, and they can help reduce waste and help address overproduction-related difficulties.

This chapter clarifies how digital fashion based on the Metaverse assists business environmental sustainability, users, and acts as a resource to improve approaches.

In mobile banking (m-banking), understanding the factors contributing to customer satisfaction is crucial for bank managers to design effective strategies for enhancing the uptake of mobile banking services. This study assesses the relationships between quality, technology acceptance and credibility factors and behavioural outcomes (actual use, continuance intention and loyalty) and satisfaction with m-banking. It further investigates the moderating influence of economy type, innovation level, connectivity level and sample size on all these relationships.

The study employs a meta-analysis technique and reviews 54 published studies to investigate the antecedents and consequences of satisfaction with m-banking.

The study finds a significant relationship between satisfaction with m-banking and quality, technology acceptance and credibility factors and behavioural outcomes. It concludes that the moderating effect of economy type, innovation level, connectivity level and sample size partially moderate the majority of the hypothesized relationships.

Drawing on a comprehensive literature review, this study presents a novel framework elucidating the antecedents and behavioural outcomes of satisfaction with mobile banking. It contributes to the literature by exploring the moderating effects of sample size and country context on the relationships between these factors, presenting important implications for future mobile banking research.

This study has practical implications for m-banking service providers, offering insights into the factors that drive user satisfaction with mobile banking and highlighting the need for tailored strategies in different country contexts.

This study examines the effects of factors leading to satisfaction and the subsequent outcomes within the context of m-banking. The findings offer fresh perspectives that can be valuable for managers and policymakers, enabling them to enhance customer satisfaction in the realm of m-banking.

The main purpose of this research study is to investigate and examine the factors that might influence the intention to adopt and use mobile payment and their relationships during the COVID-19 pandemic.

This research study used both mobile payment adoption literature, The Technology Adoption Model and Unified Theory of Acceptance and Use of Technology, to propose a conceptual framework for mobile payment adoption. Quantitative method is used in which 306 participants responded to an online survey to validate the proposed conceptual framework.

The introduced integrated model embraced perceived risk, transaction transparency, mobile payment usefulness, social influence, performance expectation as independent variables and usage continuation intention to adopt mobile payment as the dependent variable. The results from data analysis have statistically revealed significant relationships and a positive impact of perceived risk, mobile payment usefulness, social influence and performance expectation. Also, the results identified a negative impact for the transaction transparency factor. As this research study is conducted at a later stage of the COVID-19 pandemic, it adds value to the existing literature by providing insights to business managers on the factors influencing mobile payment usage and other implications related to increasing the market potential for businesses in the new normality of the coronavirus pandemic.

This paper offers a combination conceptual framework of mobile payment adoption based on a literature review on mobile payment adoption from information systems perspective. It adapts integrated model to establish a more comprehensive innovation adoption framework for mobile payment.

The case study is designed to help students understand how the “growth at all costs” attitude can lead to compromised corporate governance in a start-up leading to disastrous implications for all the stakeholders. This case study aims to make students understand the components of the fraud triangle, the impact of financial fraud on various stakeholders, the role of venture capitalist (VC) investors and the importance of good corporate governance in start-ups. The case study presents an excellent opportunity for students to discuss the consequences of ignoring good governance in the pursuit of growth in a start-up. After analyzing the case study, the students shall be able to explain the concept of the fraud triangle and to be able to identify the motivation, opportunity and rationalization of financial irregularities in a start-up; analyze the impact of financial irregularities on various stakeholders; comprehend the business model of VCs and evaluate its influence on VC-funded start-ups; and appraise the importance of good corporate governance in start-ups.

The case study revolves around the confession of financial irregularities made by one of the cofounders of GoMechanic, a start-up headquartered in Gurugram, India. On January 18, 2023, Amit Bhasin confessed to financial irregularities in the company’s financial statements, leading to laying off 70% of the workforce of the company. GoMechanic had earlier raised close to US$62m [1] from maverick global investors including Sequoia Capital, Tiger Global, Orios Venture Partners and Chiratae Ventures, and was negotiating to raise Series D financing from the Japanese multinational SoftBank with aspirations to be a unicorn (start-up with a valuation of over $1bn). The confession led to a debate about the consequences of the “growth at all cost” culture being followed by start-ups as well as VCs. GoMechanic was not an isolated instance of a lack of governance in the start-ups. The confession had consequences not only for the GoMechanic but for the entire start-up ecosystem of India, which was the third largest in the world. Bhasin stated that the founders take full responsibility for the situation, and they were working on a plan which was most viable under the circumstances. However, it was not going to be easy to regain the confidence of the investors.

The case study is best suited for senior undergraduate- and graduate-level business school students and in executive education programs in courses such as corporate governance and ethics, private equity and entrepreneurial finance.

Teaching notes are available for educators only.

CSS 1: Accounting and finance

This study examines the relationship between servant leadership and its dimensions on firm performance, with big data playing the role of a mediator.

Survey responses used for analysis in this study have been taken from business managers associated reputed private sector organizations in India. A conceptual model is proposed grounded to the Conservation of Resource Theory (COR). Structural equation modeling has been used to test the proposed model.

Servant leadership significantly relates to firm performance, whereby Big Data is seen to play the role of a mediator. The results also indicate that none of the dimensions of servant leadership independently affect firm performance.

The study adds to extant research by examining the mediating mechanism of Big Data in servant leadership and firm performance. It also suggests that each dimension of servant leadership gets reflected in overall servant leadership. Here it is important to note that Big Data analytics partially mediate the effectiveness of servant leadership.

This study aims to provide insight into Library and Information Science (LIS) research in India using scientometric approaches. Web of Science (WoS) and SCOPUS databases were used for data retrieval. The study examines productivity in terms of source types, gender distribution, document formats, authorship and other factors. In addition, this study sought to identify trends or patterns in the research preferences of LIS scientists through text analysis.

Data were downloaded from the WoS and Scopus databases over 22 years and analysed using VOSviewer, Orange, Biblioshiny and CRExplorer softwares.

The findings reveal that 5,692 out of the 9,384 documents in both databases underwent the final examination. In total, 466 different sources produced all of those papers. Author analysis revealed that 6,603 different authors authored 5,692 documents. There were 4,209 male and 1,063 female authors. Furthermore, India shares maximum collaborations with the USA and England. The spectrogram features nine significant peaks corresponding to Lotka’s, Bradford’s and similar laws. Text analysis revealed that Indian LIS researchers have consistently investigated open access and digital or open libraries.

The findings of this study will provide readers with a better understanding of India’s contribution to LIS. In addition, the study will help academics identify research gaps and undiscovered areas in the Indian context that require further investigation.

Not many studies highlight Indian research trends and international collaboration in LIS. This study highlights research trends, collaboration and gender productivity in LIS. The most cited references and trending topics were also identified using reference publication year spectroscopy and text analysis techniques.

The recent pandemic period (COVID-19), while negatively impacting many companies, has contributed to the growth and adoption of online platforms such as marketplaces and e-commerce. This environment has led many companies, which previously acted only through offline channels, to adopt new technologies and online channels and develop new e-commerce strategies. Small and micro enterprises are most vulnerable due to their limited resources and lack of capabilities. For this reason, the main objective of this paper is to unveil the e-commerce implementation capabilities that micro and small enterprises should build and the challenges they must face when managing an e-commerce strategy.

The authors adopted an inductive qualitative research design approach focused on multiple case studies. The firms operate in the food and beverage industry.

The findings identify several e-commerce implementation capabilities that micro and small enterprises operating in the food and beverage industry should build to manage e-commerce strategies. These are related to outsourcing management, multichannel management, time management, internal stock management and marketplace choice. Moreover, the paper identifies key e-commerce implementation challenges these firms must cope with. These regard distribution management, potential loss of control, fresh product management and lack of resources, time and capabilities.

This research shows that proper capacity management in the implementation of micro and small enterprises e-commerce strategies is critical to achieving efficient results and preventing challenges that threaten such strategies. The research offers guidelines and frameworks for micro and small enterprises to understand how to manage e-commerce and face its challenges.