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Article
Publication date: 21 December 2022

Shallu Batra, Mohit Saini, Mahender Yadav and Vaibhav Aggarwal

This study aims to conduct a comprehensive bibliometric analysis to determine the intellectual structure of cross-listing studies and suggests a road map for future research in…

Abstract

Purpose

This study aims to conduct a comprehensive bibliometric analysis to determine the intellectual structure of cross-listing studies and suggests a road map for future research in this field.

Design/methodology/approach

A step-by-step procedure was carried out. With the help of a defined search string, 580 articles from reputed journals have been retrieved from the Scopus database. Bibliographic coupling and keyword analysis were executed to understand the current research scenario and future research directions in this research field. In addition, R Studio combined with VOSviewer was employed to analyse and visualise the data.

Findings

The results provide a deeper insight into publication trends, most prolific countries, institutions and journals in the area of cross-listing. The highest collaboration was observed between the authors in the USA and Canada. Moreover, the results contradict Bradford's and Lotka's laws. A thorough review of the literature identifies five clusters in this domain. Finally, keyword analysis offers a future road map in cross-listing research.

Originality/value

Researchers have shown greater interest in cross-listing topics over the past decades. Even though the research volume on this subject is increasing, the current retrospective is still insufficient. To the best of the authors' knowledge, this study is the first to provide valuable insights to practitioners, academicians, and prospective researchers about the intellectual structure of cross-listing and also offers future avenues in this research field through bibliometric analysis.

Article
Publication date: 4 March 2021

Vaibhav Aggarwal

Bitcoin and Ethereum, although the most prominent cryptocurrencies, carry a high ticker price. Many investors carry an inherent bias against high price ticker securities and…

Abstract

Purpose

Bitcoin and Ethereum, although the most prominent cryptocurrencies, carry a high ticker price. Many investors carry an inherent bias against high price ticker securities and prefer only low prices securities. This paper aims to help market players generate adequate risk-adjusted returns by investing in only lower-priced cryptocurrencies.

Design/methodology/approach

The pairwise bivariate BEKK-GARCH (1,1) model is deployed to capture the short- and long-term volatility linkages between Litecoin, Stellar and Ripple from August 2015 to June 2020.

Findings

Litecoin is the most influential volatility sender in the basket of these three cryptocurrencies. The portfolio weights indicate that investors can create an optimized two asset portfolio with the lowest exposure to Stellar with Litecoin and Ripple. Market players with a long position in Ripple can have the cheapest hedge by shorting Stellar.

Originality/value

This study adds to the scant literature on the association between emerging cryptocurrencies and finding optimum portfolio weight and hedge ratios.

Details

International Journal of Innovation Science, vol. 14 no. 3/4
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 14 November 2023

Barkha Dhingra, Shallu Batra, Vaibhav Aggarwal, Mahender Yadav and Pankaj Kumar

The increasing globalization and technological advancements have increased the information spillover on stock markets from various variables. However, there is a dearth of a…

Abstract

Purpose

The increasing globalization and technological advancements have increased the information spillover on stock markets from various variables. However, there is a dearth of a comprehensive review of how stock market volatility is influenced by macro and firm-level factors. Therefore, this study aims to fill this gap by systematically reviewing the major factors impacting stock market volatility.

Design/methodology/approach

This study uses a combination of bibliometric and systematic literature review techniques. A data set of 54 articles published in quality journals from the Australian Business Deans Council (ABDC) list is gathered from the Scopus database. This data set is used to determine the leading contributors and contributions. The content analysis of these articles sheds light on the factors influencing market volatility and the potential research directions in this subject area.

Findings

The findings show that researchers in this sector are becoming more interested in studying the association of stock markets with “cryptocurrencies” and “bitcoin” during “COVID-19.” The outcomes of this study indicate that most studies found oil prices, policy uncertainty and investor sentiments have a significant impact on market volatility. However, there were mixed results on the impact of institutional flows and algorithmic trading on stock volatility, and a consensus cannot be established. This study also identifies the gaps and paves the way for future research in this subject area.

Originality/value

This paper fills the gap in the existing literature by comprehensively reviewing the articles on major factors impacting stock market volatility highlighting the theoretical relationship and empirical results.

Details

Journal of Modelling in Management, vol. 19 no. 3
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 8 August 2023

Mohit Saini, Vaibhav Aggarwal, Barkha Dhingra, Pankaj Kumar and Mahender Yadav

The growing trend in environmental, social and governance (ESG) research, along with its relevance to the financial performance of firms, has gained a lot of attraction in…

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Abstract

Purpose

The growing trend in environmental, social and governance (ESG) research, along with its relevance to the financial performance of firms, has gained a lot of attraction in academia and industry. This study aims to fill the existing gap in the literature by conducting a thorough systematic review with the latest research articles in this area.

Design/methodology/approach

This study adopted a blend of systematic literature review and bibliometric techniques. A proper search string was used to retrieve the data from the Scopus database. The final dataset comprises 296 documents used for science mapping, and the review was done of 60 articles finalised after further refining the documents.

Findings

The results of this study indicate that stakeholder, legitimacy and signalling theories are the foundation for ESG and financial performance. Social firms have a lower capital cost because of their low-risk potential. Moreover, this study provides the knowledge structure by framing four clusters, “CSR/ESG determinants and firm performance”, “Moderators and Mediators”, “Investors’ perception” and “CSR in the tourism sector”.

Originality/value

This study has reviewed the literature with both tools, that is, qualitative (systematic review) and quantitative (bibliometric). Moreover, this study presents the latest synthesis of the literature.

Details

International Journal of Law and Management, vol. 65 no. 6
Type: Research Article
ISSN: 1754-243X

Keywords

Article
Publication date: 28 February 2023

Parveen Kumar, Pankaj Kumar and Vaibhav Aggarwal

This study aims to examine the determinants of adoption intention toward the rooftop solar photovoltaic (RSPV) systems among residents of peri-urban villages of Gurugram, Haryana…

Abstract

Purpose

This study aims to examine the determinants of adoption intention toward the rooftop solar photovoltaic (RSPV) systems among residents of peri-urban villages of Gurugram, Haryana, India. This study also analyzes the impact of the adoption of RSPV systems on carbon neutrality from a behavioral perspective.

Design/methodology/approach

Data was collected using a self-administrated structured questionnaire from 208 male villagers (195 usable) of 22 villages using the purposive sampling technique.

Findings

Results revealed that relative advantage, followed by simplicity, trialability, observability and compatibility, positively and significantly impact villagers’ attitude toward adopting RSPV systems in their homes. Perceived severity and perceived vulnerability significantly influence the perceived behavioral control of villagers toward adopting the RSPV systems. The results show villagers’ attitudes, subjective norms and perceived behavioral control are the essential predictors of their adoption intention of the RSPV systems. Most notably, carbon neutrality was significantly affected by villagers’ adoption intention of RSPV systems as the renewable energy source in their homes.

Originality/value

The findings of this study provide that innovation attributes are important factors in shaping the adoption intentions of customers toward RSPV systems. This study is also the extent of previous studies measuring customers’ perception of adopting renewable energy in developed and emerging countries worldwide.

Details

International Journal of Energy Sector Management, vol. 18 no. 1
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 12 October 2022

Pankaj Kumar, Parveen Kumar, Ramesh Kumar Garg, Manoj Panwar and Vaibhav Aggarwal

The present study examines the foremost determinants of teachers' perception, i.e. teachers' satisfaction, attitude and continuance intention towards adopting e-learning in Higher…

Abstract

Purpose

The present study examines the foremost determinants of teachers' perception, i.e. teachers' satisfaction, attitude and continuance intention towards adopting e-learning in Higher Educational Institutions (HEIs) in India during the COVID-19 pandemic.

Design/methodology/approach

Data were collected through online Google forms from 1,111 (1,060 considered useable) teachers of different HEIs in India using the purposive sampling technique and was analyzed by PLS-SEM (performing partial least squares-structural equation modeling).

Findings

Results of this study show that perceived usefulness (PU) followed by institutional support, perceived ease of use (PEOU), and teacher-student interaction positively and significantly impact teachers' satisfaction. Results also revealed that perceived usefulness (PU), institutional support, and satisfaction significantly affect teachers' attitude. Finally and most notably, teachers' continuance intention towards using online teaching in HEIs is most significantly influenced by teachers' satisfaction than perceived usefulness (PU), perceived ease of use (PEOU), and attitude.

Originality/value

The authors anticipate that this study brings a significant and valuable input to the existing literature by providing inclusive research in a more harmonizing understanding of the teachers' satisfaction, attitude, and continuance intention with online teaching-learning practices in diverse educational institutions.

Details

Higher Education, Skills and Work-Based Learning, vol. 13 no. 4
Type: Research Article
ISSN: 2042-3896

Keywords

Article
Publication date: 22 December 2022

Pankaj Kumar, Pardeep Ahlawat, Vaibhav Aggarwal, Parveen Kumar and Navdeep Bhoria

This study examines how domestic honeymoon destination quality contributes to achieving honeymooners' fantasy experience and how fantasy experience impacts honeymooners' revisit…

Abstract

Purpose

This study examines how domestic honeymoon destination quality contributes to achieving honeymooners' fantasy experience and how fantasy experience impacts honeymooners' revisit intention.

Design/methodology/approach

Using the convenience sampling technique, 202 self-administrated survey questionnaires were collected (184 considered useable) from domestic honeymooners who had experienced honeymoon trip. The analysis was performed by employing partial least squares structural equation modeling (PLS-SEM) using SmartPLS 4.0.

Findings

The findings indicate that honeymoon destination image strongly and significantly influenced honeymooners' fantasy experience, followed by honeymooners' privileges, service providers, social aspects and accommodation. At the same time, the dining experience and honeymoon expenses had no significant impact on the honeymooners' fantasy experience. Notably, honeymooners' fantasy experience also had a strong and significant effect on their revisit intention to honeymoon destination in the future.

Originality/value

This study has an important theoretical contribution, being the first to explore the post-consumption behavior, that is, fantasy experience and revisit intention of domestic honeymooners in tourism literature. The study also has important implications for tourism industry stakeholders, that is, government, tourism department and officials, honeymoon tour planners and hotel managers, to make honeymoon destinations more attractive and fascinating, especially among newlywed couples and the young generation of tourists.

Details

International Journal of Quality & Reliability Management, vol. 40 no. 8
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 12 February 2021

Sudhi Sharma, Vaibhav Aggarwal and Miklesh Prasad Yadav

Several empirical studies have proven that emerging countries are attractive destinations for Foreign Institutional Investors (FIIs) because of high expected returns, weak market…

1007

Abstract

Purpose

Several empirical studies have proven that emerging countries are attractive destinations for Foreign Institutional Investors (FIIs) because of high expected returns, weak market efficiency and high growth that make them attractive destination for diversification of funds. But higher expected returns come coupled with high risk arising from political and economic instability. This study aims to compare the linear (symmetric) and non-linear (asymmetric) Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models in forecasting the volatility of top five major emerging countries among E7, that is, China, India, Indonesia, Brazil and Mexico.

Design/methodology/approach

The volatility of financial markets of five major emerging countries has been empirically investigated for a period of two decades from January 2000 to December 2019 using univariate volatility models including GARCH 1, 1, Exponential Generalized Autoregressive Conditional Heteroscedasticity (E-GARCH 1, 1) and Threshold Generalized Autoregressive Conditional Heteroscedasticity (T-GARCH-1, 1) models. Further, to examine time-varying volatility, the distinctions of structural break have been captured in view of the global financial crisis of 2008. Thus, the period under the study has been segregated into pre- and post-crisis, that is, January 2001–December 2008 and January 2009–December 2019, respectively.

Findings

The findings indicate that GARCH (1, 1) model is superior to non-linear GARCH models for forecasting volatility because the effect of leverage is insignificant. China has been considered as most volatile, whereas India is volatile but positively skewed and Indonesia is the least volatile country. The results can help investors in better international diversification of their portfolio and identifying best suitable hedging opportunities.

Practical implications

This study can help investors to construct a more risk-adjusted returns international portfolio. Further, it adds to the scant literature available on the inconclusive debate on the choice of linear versus non-linear models to forecast market volatility.

Originality/value

Earlier studies related to univariate volatility models are mostly applications of the models. Only few studies have considered the robustness while applying the models. However, none of the studies to the best of the authors’ searches have considered these models for identifying the diversification opportunity among the emerging countries. Hence, this study is able to derive diversification and hedging opportunities by applying wide ranges of the statistical applications and models, that is, descriptive, correlations and univariate volatility models. It makes the study more rigorous and unique compared to the previous literature.

Details

Journal of Advances in Management Research, vol. 18 no. 4
Type: Research Article
ISSN: 0972-7981

Keywords

Case study
Publication date: 27 September 2023

Rashmi Aggarwal, Harsahib Singh and Vinita Krishna

The case is written on the basis of published sources only.

Abstract

Research methodology

The case is written on the basis of published sources only.

Case overview/synopsis

Doodlage, a start-up incorporated in 2012 by Kriti Tula, Paras Arora and Vaibhav Kapoor, used discarded waste to create sustainable fashion products. It had a first-mover advantage in recycled fashion goods in the first 10 years of its existence. The company contributed to sustainable fashion by providing an alternative to fast fashion production, creating enormous clothing waste and environmental degradation. In the first quarter of 2022, it saved and reused 15,000 m of fabric waste. From 2018 to 2021, the company grew 150% annually, targeting the right customers and regions to expand its business. It ensured that postproduction industrial waste and postconsumption garments were used to produce clothes. It also confirmed that the waste generated in its fabric screening process was used to create stationery items and other valuable accessories.

However, the sustainable fashion model that gave the company a competitive advantage became obsolete in 2022 due to increasing competition in the industry as various players using unique ideas entered the market. The company is encountering operational and logistical challenges that are affecting its performance. The demand for its products was also subdued due to high prices of upcycled and recycled clothes and less consumer spending post-COVID pandemic. The competitors of Doodlage offered multiple products produced using environmentally friendly farming and manufacturing techniques, attracting sustainable purchasers. What should be the new portfolio of products for the company to explore future growth opportunities? Considering their vast price, can consumers be encouraged to buy upcycled clothes? How should the company ride the winds of change in the industry?

Complexity academic level

The instructor should initiate the class discussion by asking questions such as how frequently do you shop for clothes? Do you care about the fabric of your apparel? After you discard your clothes, do you think about where these goods finally end up? Data on the amount of total waste generated in the fashion industry should be communicated to students to connect it with the importance of the concept of circular economy. Post this, the instructor should introduce the business model of Doodlage to bring the discussion into the context of the fashion industry before going ahead to discuss the company’s dilemma.

Details

The CASE Journal, vol. 20 no. 3
Type: Case Study
ISSN: 1544-9106

Keywords

Article
Publication date: 6 April 2021

Shashank Kumar, Rakesh D. Raut, Vaibhav S. Narwane, Balkrishna E. Narkhede and Kamalakanta Muduli

In the digitalization era, supply chain processes and activities have changed entirely, and smart technology impacts each sustainable supply chain movement. The warehouse and…

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Abstract

Purpose

In the digitalization era, supply chain processes and activities have changed entirely, and smart technology impacts each sustainable supply chain movement. The warehouse and distribution of various organizations have started adopting smart technologies globally. However, the adoption of smart technologies in the Indian warehousing industry is minimal. The study aims to identify the implementation barriers of smart technology in the Indian warehouse to achieve sustainability.

Design/methodology/approach

This study employs an integrated Delphi-ISM-ANP research approach. The study uses the Delphi approach to finalize the barriers identified from the detailed literature review and expert opinion. The finalized 17 barriers are modeled using interpretive structural modeling (ISM) to get the contextual relationship. The ISM method's output and analysis using the analytical network process (ANP) illustrate priorities.

Findings

The study's findings showed that the lack of government support, lack of vision and mission and the lack of skilled manpower are the most significant barriers restricting the organization from implementing smart and sustainable supply chain practices in the warehouse.

Practical implications

This study would help the practitioners enable the sustainable warehousing system or convert the existing warehouse into a smart and sustainable warehouse by developing an appropriate strategy. This study would also help reduce the impact of different barriers that would strengthen the chance of technology adoption in the warehouses.

Originality/value

The literature related to adopting smart and sustainable practices in the warehouse is scarce. Modeling of adoption barrier for smart and sustainable warehouse using an integrated research approach is the uniqueness of this study that have added value in the existing scientific knowledge.

Details

International Journal of Productivity and Performance Management, vol. 71 no. 3
Type: Research Article
ISSN: 1741-0401

Keywords

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