Silvana de Souza Moraes, Charbel Jose Chiappetta Jabbour, Rosane A.G. Battistelle, Jonny Mateus Rodrigues, Douglas S.W. Renwick, Cyril Foropon and David Roubaud
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
To date, this is the first work that relates – with empirical evidence from Brazil – GHRM and eco-efficiency in the financial service industry.
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Shikuan Zhao, Ahmed Imran Hunjra, David Roubaud and Fuxian Zhu
In the context of macroeconomic fluctuations and uncertainty in policy changes, it is essential to understand how companies adapt their environmental strategies and marketing…
Abstract
Purpose
In the context of macroeconomic fluctuations and uncertainty in policy changes, it is essential to understand how companies adapt their environmental strategies and marketing tactics to ensure survival and growth. This study, therefore, examines the impact of perceived economic policy uncertainty on corporate greenwashing.
Design/methodology/approach
Based on panel data from listed companies on the Chinese A-share market between 2013 and 2022, this paper employs a high-dimensional fixed effects model to explore the impact of perceived economic policy uncertainty (PEPU) on corporate greenwashing behavior.
Findings
The results show that higher PEPU increases greenwashing, with agency costs and investor sentiment mediating the relationship. Corporate credit availability and managerial short-sightedness positively moderate this effect. Heterogeneity analysis reveals that non-state-owned enterprises in central and western regions, particularly those with weak environmental regulation and high pollution, are most impacted by PEPU.
Practical implications
This paper provides practical guidance for how to avoid the phenomenon of green reshuffle in economic and environmental policies and encourages enterprises to take more real and effective environmental protection measures.
Originality/value
These findings highlight the importance of considering corporate responses to policy uncertainty when formulating economic and environmental policies. They provide valuable insights for emerging economies in fostering genuine corporate environmental behavior and promoting sustainable development.
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Shirish Jeble, Rameshwar Dubey, Stephen J. Childe, Thanos Papadopoulos, David Roubaud and Anand Prakash
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Shivam Gupta, Subhas C. Misra, Ned Kock and David Roubaud
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
This paper attempts to bring out a relationship between SMEs and cloud service provider for the successful implementation of cloud ERP.
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Sukhmani Bhatia Chugh and Archana Goel
With the increase in uncertainty around the globe, an intensifying interest is seen in Economic Policy Uncertainty (EPU) as a topic of research. Researchers worldwide understand…
Abstract
With the increase in uncertainty around the globe, an intensifying interest is seen in Economic Policy Uncertainty (EPU) as a topic of research. Researchers worldwide understand the significance of the impact of EPU on the country's development. EPU has a far-reaching impact as uncertainty shocks in one part of the world resonate worldwide due to the level of interconnectivity, globalization and quick communication. In order to facilitate these researchers, this study presents a bibliometric analysis of the existing research in this field using VOS viewer software, by consolidating all the studies from Scopus indexed journal articles, conference proceedings and review papers published in English language from 2006 to 2022. Bibliometric analysis on EPU has rarely been performed. The analysis identifies the publication trends, journal-wise citation, most influential authors, countries, institutions, keyword co-occurrence and authors of different countries who have collaborated for the research in the field. Finally, 1,055 papers were used for bibliometric analysis. The findings depicted that the most cited article on EPU is ‘Measuring economic policy uncertainty’ by Baker et al. (2016) and the most prolific author appears to be Rangan Gupta from University of Pretoria which as an institution also has the maximum publications on this topic. The Journal Finance Research Letters has published the greatest number of researches on EPU. This chapter also summarizes the limitations of the study along with new areas of research.
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Shailendra Singh, Mahesh Sarva and Nitin Gupta
The purpose of this paper is to systematically analyze the literature around regulatory compliance and market manipulation in capital markets through the use of bibliometrics and…
Abstract
Purpose
The purpose of this paper is to systematically analyze the literature around regulatory compliance and market manipulation in capital markets through the use of bibliometrics and propose future research directions. Under the domain of capital markets, this theme is a niche area of research where greater academic investigations are required. Most of the research is fragmented and limited to a few conventional aspects only. To address this gap, this study engages in a large-scale systematic literature review approach to collect and analyze the research corpus in the post-2000 era.
Design/methodology/approach
The big data corpus comprising research articles has been extracted from the scientific Scopus database and analyzed using the VoSviewer application. The literature around the subject has been presented using bibliometrics to give useful insights on the most popular research work and articles, top contributing journals, authors, institutions and countries leading to identification of gaps and potential research areas.
Findings
Based on the review, this study concludes that, even in an era of global market integration and disruptive technological advancements, many important aspects of this subject remain significantly underexplored. Over the past two decades, research has lagged behind the evolution of capital market crime and market regulations. Finally, based on the findings, the study suggests important future research directions as well as a few research questions. This includes market manipulation, market regulations and new-age technologies, all of which could be very useful to researchers in this field and generate key inputs for stock market regulators.
Research limitations/implications
The limitation of this research is that it is based on Scopus database so the possibility of omission of some literature cannot be completely ruled out. More advanced machine learning techniques could be applied to decode the finer aspects of the studies undertaken so far.
Practical implications
Increased integration among global markets, fast-paced technological disruptions and complexity of financial crimes in stock markets have put immense pressure on market regulators. As economies and equity markets evolve, good research investigations can aid in a better understanding of market manipulation and regulatory compliance. The proposed research directions will be very useful to researchers in this field as well as generate key inputs for stock market regulators to deal with market misbehavior.
Originality/value
This study has adopted a period-wise broad-based scientific approach to identify some of the most pertinent gaps in the subject and has proposed practical areas of study to strengthen the literature in the said field.
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Swagota Saikia, Alka Maurya and Manoj Kumar Verma
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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Irfan Ali, Waheed Akhter and Naukhaiz Chaudhry
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
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Higinio Mora, Francisco A. Pujol López, Julio César Mendoza Tello and Mario R. Morales
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…
Abstract
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.
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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…
Abstract
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.