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Drawing on the ability–motivation–opportunity theory applied to the greening of service industries, this paper aims to analyze the extent to which green human resource management plays a role in the adoption of eco-efficiency principles in the financial sector. Environmental knowledge management represents one of the key green human resource management components.

This study conducted a survey with 178 employees working within one of the largest financial banks in Brazil, which has been investing in eco-efficiency for more than ten years.

On the basis of structural equation modelling, this study has provided the following findings: Among all factors taken into consideration in this study, only environmental training positively influences eco-efficiency; training may be suffering owing to barriers associated with empowerment and teamwork; the eco-efficiency program of the studied company would get benefits if it provided more autonomy to employees; and finally, the eco-efficiency program of the studied bank could be more effective if connected with green teams.

To date, this is the first work that relates – with empirical evidence from Brazil – GHRM and eco-efficiency in the financial service industry.

The purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.

The authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.

The statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support for H4. Although the authors did not find support for H4 (moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.

This study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Use of cloud-based enterprise resource planning (ERP) services equips an SME to forego the requirements of high financial budget, IT infrastructure, and trained IT personnel as it is required for on-premise ERP solution. The purpose of this paper is to analyze the organizational and technological factors as well as the factors that concern the performance of cloud service provider. These concerns are known as extrinsic factors and they are compliance, network, and information security. This study links the organizational and technological factors of SMEs and the extrinsic factors of cloud vendor for the successful implementation of cloud ERP.

Resource dependence theory (RDT) was used to understand the relationship of SMEs and cloud service provider. Structural equation modeling was employed in analyzing the data of 208 SMEs that were collected through a survey.

The empirical analysis supports the RDT as the critical success factors of the SMEs have a positive relationship with the extrinsic factors (compliance, network, and information security) during the cloud ERP implementation.

The data collected in this study is from India and this acts as a limitation as the result might not hold true for other countries and regions. Also, the data collected are cross-sectional and only represent the perspective of the respondents at the time of filling the questionnaire.

This paper attempts to bring out a relationship between SMEs and cloud service provider for the successful implementation of cloud ERP.

The emergence of cryptocurrencies has tremendously changed the way of financial transactions around the world which has led to form distinct discussions in the field regarding its reliability. This paper aims to evaluate the published literatures on cryptocurrency identifying its growth, citation, prolific authors, journals, countries, active funding agencies, collaboration pattern and emerging research hotspots in the area.

Scientometrics and Altmetrics parameters have been incorporated in the study. Literatures covered from the Scopus database searching within “Article Title, Abstract, Keywords” with keywords “cryptocurrency” OR “digital currency” OR “bitcoin” OR “Ethereum” by limiting the time range of 2013–2022, English language and journal articles only. Total 6,107 documents have been identified. The further analysis and visualisation is performed using MSExcel, VOSviewer, Biblioshiny and Tableau. Another tool, Dimension.ai is used to identify the Altmetric Attention Score.

The findings reveal that the growth of research and citation rate hiked from the year 2017 till now. Elie Bouri is the top contributor, IEEE Access is the most prolific journal, China being the prolific country. Topics like Blockchain, Bitcoin, Ethereum, smart contracts, financial markets are emerging researched hotspots. The reliability of crypto market is still not clear because of its high volatility. The findings of the study will be more useful in the academia, subject specialists, research institutions, funding agencies, publishing agencies in decision-making.

To the best of the authors’ knowledge, there is no such study found considering both Scientometrics and Altmetrics approaches on cryptocurrency research with the selected time bound.

The Islamic Holy days are among the most celebrated spiritual traditions in the world and are observed by more than 1.5 billion Muslims. This study aims to investigate the effect of these events on the regular returns of stock exchanges in selected Muslim countries.

This study examines data from eight Asian and African stock exchanges from 2001 to 2019. Isolating the effect of Gregorian calendar anomalies, it aims to evaluate the effect of Islamic Holy days on stock returns by running a pooled random effect panel regression on all the stock exchanges examined.

The results reveal the positive impact of Eid-ul-Fitr on Asian markets, the negative impact of Eid Milad-un-Nabi on the African stock market’s returns and the positive effect of the Holy month of Ramadan on both markets. Some Gregorian calendar anomalies also were found in these markets.

The research has significant implications for marketing professionals to recognize business opportunities and investors to efficiently manage their stock portfolio during Islamic events of Eid-ul-Fitr, Eid Milad-un-Nabi and Ramadan in relevant Muslim countries.

Given the research gap between Gregorian and Islamic calendar anomalies, this paper contributes by combining the effect of Islamic Holy days on the returns of selected Muslim-dominated financial markets.

Virtual currency is a digital representation of value that is neither issued by a central bank or a public authority. Its reliability is based on advanced cryptographic methods which provide privacy and confidence to citizens. Virtual currency and its underlying technologies such as blockchain or smart contracts trigger transformation in many areas of the society’s functioning. The way in which social relations occur and economic transactions are managed are changing forever. As a result, cryptocurrencies constitute a good example of how specific technology may lead to substantial transformation of the world. Still, virtual currencies could benefit from the versatility of collaborative communication of social media and Internet to promote and develop new commerce and business initiatives as well as new forms of financial flow managements. The objective of this chapter is to examine the role played by virtual currencies in modern societies in order to describe potential uses and applications and their impact on politics and social behavior. As a result, recommendations are inferred to address the challenges and opportunities of these new technologies.

This study finds evidence that a stock return is inversely correlated with downside risk, confirming a pattern of risk-aversion behavior. Evidence from testing a stock return's response to a change in economic policy uncertainty indicates a significantly negative effect in the Chinese stock market; this conclusion holds true for testing the impacts of changes in fiscal and monetary policy uncertainties. However, the data produce a mixed effect for the change in fiscal policy uncertainty. The evidence produced from examining the geopolitical effect on the stock market strongly supports the presence of an adverse effect on stock market performance.

Using a GED-GARCH model to estimate monthly data from January 1990 to February 2022, we test whether gold acts as a hedge or safe haven asset in 10 countries. With a downturn of the stock market, gold can be viewed as a hedge and safe haven asset in the G7 countries. In the case of inflation, gold acts as a hedge and safe haven asset in the United States, United Kingdom, Canada, China, and Indonesia. For currency depreciation, oil price shock, economic policy uncertainty, and US volatility spillover, evidence finds that gold acts as a hedge and safe haven for all countries.

Blockchain technology is an extension of distributed ledger technology and it is used in cryptocurrencies. Many studies describe blockchain technology and cryptocurrency is an application of it in a very broad sense. Blockchain technology has several applications. Some of these applications could have direct or indirect relevance to either or both pillars of sustainability advocated by Crowther, Seifi, and Wond (2019). Extending to cryptocurrencies like bitcoin, one possible connection to sustainability may be the reduction of the use of paper for printing currency notes, which can save forests. Furthermore, the growing cryptocurrency market attracted the investors to focus on the price fluctuations but making them forget about the terrifying carbon problem associated with cryptocurrencies. However, this possibility has not been demonstrated anywhere so far. The issue examined here is how blockchain technology can be used for solving sustainability problems. We initiate a qualitative study of the blockchain technology/cryptocurrency and sustainability using the twin pillars of sustainability: (1) responsibility, (2) governance. An exploratory review linking blockchain technology/cryptocurrency and sustainability and its two pillars revealed many actual and trial applications by corporates as CSR initiatives and other novel programs by various agencies in various countries. In governance, corporates use the CSR route to address sustainability issues. However, no definition is an available linking cryptocurrency, blockchain technology, and sustainability and we developed a definition to fill the gap. This paper stresses that the sustainability perspective has not been used to develop the cryptocurrency definition, but rather technological and legal perspectives have employed.

The purpose of this study is to investigate volatility connectedness between major cryptocurrencies by the virtue of market capitalization. In this context, this paper implements the frequency connectedness approach of Barunik and Krehlik (2018) and to measure short-, medium- and long-term connectedness between realized volatilities of cryptocurrencies. Additionally, this paper analyzes network graphs of directional TO/FROM spillovers before and after the announcement of the COVID-19 pandemic by the World Health Organization.

In this study, we examine the volatility connectedness among eight major cryptocurrencies by the virtue of market capitalization by using the frequency connectedness approach over the period July 26, 2017 and October 28, 2020. To this end, this paper computes short-, medium- and long-cycle overall spillover indexes on different frequency bands. All indexes properly capture well-known events such as the 2018 cryptocurrency market crash and COVID-19 pandemic and markedly surge around these incidents. Furthermore, owing to notably increased volatilities after the official announcement of the COVID-19 pandemic, this paper concentrates on network connectedness of volatility spillovers for two distinct periods, July 26, 2017–March 10, 2020 and March 11, 2020–October 28, 2020, respectively. In line with the related studies, major cryptocurrencies stand at the epicenter of the connectedness network and directional volatility spillovers dramatically intensify based on the network analysis.

Overall spillover indexes have fluctuated between 54% and 92% in May 2018 and April 2020. The indexes gradually escalated till November 9, 2018 and surpassed their average values (71.92%, 73.66% and 74.23%, respectively). Overall spillover indexes dramatically plummeted till January 2019 and reached their troughs (54.04%, 57.81% and 57.81%, respectively). Etherium catalyst the highest sum of volatility spillovers to other cryptocurrencies (94.2%) and is followed by Litecoin (79.8%) and Bitcoin (76.4%) before the COVID-19 announcement, whereas Litecoin becomes the largest transmitter of total volatility (89.5%) and followed by Bitcoin (89.3%) and Etherium (88.9%). Except for Etherium, the magnitudes of total volatility spillovers from each cryptocurrency notably increase after – COVID-19 announcement period. The medium-cycle network topology of pairwise spillovers indicates that the largest transmitter of total volatility spillover is Litecoin (89.5%) and followed by Bitcoin (89.3%) and Etherium (88.9%) before the COVID-19 announcement. Etherium keeps its leading role of transmitting the highest sum of volatility spillovers (89.4%), followed by Bitcoin (88.9%) and Litecoin (88.2%) after the COVID-19 announcement. The largest transmitter of total volatility spillovers is Etherium (95.7%), followed by Litecoin (81.2%) and Binance Coin (75.5%) for the long-cycle connectedness network in the before-COVID-19 announcement period. These nodes keep their leading roles in propagating volatility spillover in the latter period with the following sum of spillovers (Etherium-89.5%, Bitcoin-88.9% and Litecoin-88.1%, respectively).

The study can be extended by including more cryptocurrencies and high-frequency data.

The study is original and contributes to the extant literature threefold. First, this paper identifies connectedness between major cryptocurrencies on different frequency bands by using a novel methodology. Second, this paper estimates volatility connectedness between major cryptocurrencies before and after the announcement of the COVID-19 pandemic and thereby to concentrate on its impact on the cryptocurrency market. Third, this paper plots network graphs of volatility connectedness and herewith picture the intensification of cryptocurrencies due to a major financial distress event.