Pub Date : 2024-06-05DOI: 10.1177/09721509241251547
Halilibrahim Gökgöz, Mohd Afjal, A. Béjaoui, A. Jeribi
In this article, we attempt to analyze and compare the safe-haven features of gold, Bitcoin and gold-backed cryptocurrency against the stock and banking indices of G7 countries during the outbreak of adverse events. To do so, we examine dynamic relationships between different assets and we compute optimal hedge ratios for different couples using the corrected Asymmetric Dynamic Conditional Correlation-Exponential Generalized Autoregressive Conditional Heteroscedasticity and corrected Asymmetric Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroscedasticity models. We clearly show that gold and gold-backed cryptocurrency maintain higher weights in optimal portfolios compared to Bitcoin. We also report that shocks due to unexpected events increasingly affect dynamic correlations, asset weights and hedge ratios. This underscores the need for regular demand for rebalancing the hedge positions and effective risk management. We thereafter show that the relationship between Bitcoin (gold-backed cryptocurrency) and G7 indices is highly affected by the outbreak of COVID-19 pandemic. Such findings highlight the hedging and safe-haven features of different asset classes against stock markets. They could have insightful implications for investors who want to minimize investment risks and policymakers who are worried about the financial consequences of different unexpected events.
{"title":"Comparative Analysis of Gold, \u2028Bitcoin and Gold-backed Cryptocurrencies as Safe Havens During Global Crises: A Focus on G7 Stock Market and Banking Sector Indices","authors":"Halilibrahim Gökgöz, Mohd Afjal, A. Béjaoui, A. Jeribi","doi":"10.1177/09721509241251547","DOIUrl":"https://doi.org/10.1177/09721509241251547","url":null,"abstract":"In this article, we attempt to analyze and compare the safe-haven features of gold, Bitcoin and gold-backed cryptocurrency against the stock and banking indices of G7 countries during the outbreak of adverse events. To do so, we examine dynamic relationships between different assets and we compute optimal hedge ratios for different couples using the corrected Asymmetric Dynamic Conditional Correlation-Exponential Generalized Autoregressive Conditional Heteroscedasticity and corrected Asymmetric Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroscedasticity models. We clearly show that gold and gold-backed cryptocurrency maintain higher weights in optimal portfolios compared to Bitcoin. We also report that shocks due to unexpected events increasingly affect dynamic correlations, asset weights and hedge ratios. This underscores the need for regular demand for rebalancing the hedge positions and effective risk management. We thereafter show that the relationship between Bitcoin (gold-backed cryptocurrency) and G7 indices is highly affected by the outbreak of COVID-19 pandemic. Such findings highlight the hedging and safe-haven features of different asset classes against stock markets. They could have insightful implications for investors who want to minimize investment risks and policymakers who are worried about the financial consequences of different unexpected events.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141384050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.1177/09721509241251979
Muhammad Kashif Imran, Muhammad Nadeem, Tehreem Fatima, Ambreen Sarwar, Sobia Shabeer
In a dynamic and competitive world, organizations need healthy interpersonal relationships in the workplace to achieve success. Within the interpersonal relationship domain, the supervisor–employee bond is the most important that determines the fate of employee performance. Drawing on the conservation of resources and self-control theory, this empirical inquiry investigates the buffering effects of self-control on the relationship between abusive supervision and employee performance through the mediating effects of defensive silence and constructive voice behaviours. The data were collected from a sample of 293 respondents from the services sector organizations functioning in the southern Punjab region of Pakistan and were analyzed by deploying partial least squares structural equation modelling technique. The results revealed that abusive supervision has negative effects on employee performance with partial mediation of defensive silence and constructive voice behaviours. This research adds to the existing literature in organizational behaviour and psychology by introducing moderated mediation of self-control perspective between the relationship between abusive supervision and employee performance through silence and voice behaviours. Further, this study provides guidelines to practitioners on how to reduce the injurious effects of abusive supervision on employee performance.
{"title":"I am a Performer Because of Self-control! A Canvas Among Abusive Supervision, Silence, Voice, Self-control and Performance","authors":"Muhammad Kashif Imran, Muhammad Nadeem, Tehreem Fatima, Ambreen Sarwar, Sobia Shabeer","doi":"10.1177/09721509241251979","DOIUrl":"https://doi.org/10.1177/09721509241251979","url":null,"abstract":"In a dynamic and competitive world, organizations need healthy interpersonal relationships in the workplace to achieve success. Within the interpersonal relationship domain, the supervisor–employee bond is the most important that determines the fate of employee performance. Drawing on the conservation of resources and self-control theory, this empirical inquiry investigates the buffering effects of self-control on the relationship between abusive supervision and employee performance through the mediating effects of defensive silence and constructive voice behaviours. The data were collected from a sample of 293 respondents from the services sector organizations functioning in the southern Punjab region of Pakistan and were analyzed by deploying partial least squares structural equation modelling technique. The results revealed that abusive supervision has negative effects on employee performance with partial mediation of defensive silence and constructive voice behaviours. This research adds to the existing literature in organizational behaviour and psychology by introducing moderated mediation of self-control perspective between the relationship between abusive supervision and employee performance through silence and voice behaviours. Further, this study provides guidelines to practitioners on how to reduce the injurious effects of abusive supervision on employee performance.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141190616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.1177/09721509241250231
Mohammed Ashar Khan, Sapna Popli, Harsh Purohit, Asif Ali Syed
With a young population and high internet penetration levels, Saudi Arabian users are more active than ever on social media. Close to 44% of Saudi Arabia’s users of online social networking sites are between the age of 18 and 24 years, also known as ‘zoomers’ or ‘Gen Z’. From this age group, students at the college level are one of the most prolific users of online social networks ( Alaslani & Alandejani, 2020 ). Since this study was conducted on Saudi undergraduate students, we will refer to them as zoomers in this article as they are from the same age group. The Unified Theory of Acceptance and Use of Technology was adapted for the study to understand factors that influence the perception, acceptance and usage of online social networks by zoomers in Saudi Arabia. Data collected from 623 undergraduate students across the country reflect that while variables like task-oriented usage, trust and pleasure influenced the attitude of users, privacy was not a concern for students in choosing to use online social networks. Perceived behavioural control directly impacts the intention to use such networks; however, subjective norms or influence of peers and family did not impact the behavioural intention of the students to choose online social networking sites. A better understanding of the factors influencing the attitude of these zoomers (Gen Z) provides a massive opportunity for brands as well as social networking platforms to be able to not only reach this population effectively but also plan efficient approaches for revenue generation. This can also help academicians and government entities understand the behaviour of college-going students by exploring the constructs related to their behavioural intention to choose and use online social networks.
沙特阿拉伯人口年轻，互联网普及率高，用户在社交媒体上比以往任何时候都活跃。沙特阿拉伯近 44% 的在线社交网站用户年龄在 18-24 岁之间，也被称为 "zoomers "或 "Z 世代"。在这一年龄组中，大学生是使用在线社交网络最多的用户之一（Alaslani & Alandejani, 2020）。由于本研究的对象是沙特的本科生，因此我们在本文中将他们称为 "zoomers"，因为他们属于同一年龄段。本研究采用了 "接受和使用技术统一理论"（Unified Theory of Acceptance and Use of Technology），以了解影响沙特阿拉伯变焦者对在线社交网络的认知、接受和使用的因素。从全国 623 名本科生那里收集的数据反映出，虽然任务导向型使用、信任和愉悦感等变量影响了用户的态度，但学生在选择使用在线社交网络时并不关心隐私问题。感知行为控制直接影响使用此类网络的意向；然而，主观规范或同伴和家庭的影响并不影响学生选择网络社交网站的行为意向。更好地了解影响这些变焦者（Z 世代）态度的因素，为品牌和社交网络平台提供了一个巨大的机会，使其不仅能够有效地接触到这些人群，还能规划出高效的创收方法。这也有助于学术界和政府机构通过探索与大学生选择和使用在线社交网络的行为意向相关的构建因素来了解大学生的行为。
{"title":"Social Networking Intent of the Zoomers: Evidence from Saudi Arabia","authors":"Mohammed Ashar Khan, Sapna Popli, Harsh Purohit, Asif Ali Syed","doi":"10.1177/09721509241250231","DOIUrl":"https://doi.org/10.1177/09721509241250231","url":null,"abstract":"With a young population and high internet penetration levels, Saudi Arabian users are more active than ever on social media. Close to 44% of Saudi Arabia’s users of online social networking sites are between the age of 18 and 24 years, also known as ‘zoomers’ or ‘Gen Z’. From this age group, students at the college level are one of the most prolific users of online social networks ( Alaslani & Alandejani, 2020 ). Since this study was conducted on Saudi undergraduate students, we will refer to them as zoomers in this article as they are from the same age group. The Unified Theory of Acceptance and Use of Technology was adapted for the study to understand factors that influence the perception, acceptance and usage of online social networks by zoomers in Saudi Arabia. Data collected from 623 undergraduate students across the country reflect that while variables like task-oriented usage, trust and pleasure influenced the attitude of users, privacy was not a concern for students in choosing to use online social networks. Perceived behavioural control directly impacts the intention to use such networks; however, subjective norms or influence of peers and family did not impact the behavioural intention of the students to choose online social networking sites. A better understanding of the factors influencing the attitude of these zoomers (Gen Z) provides a massive opportunity for brands as well as social networking platforms to be able to not only reach this population effectively but also plan efficient approaches for revenue generation. This can also help academicians and government entities understand the behaviour of college-going students by exploring the constructs related to their behavioural intention to choose and use online social networks.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141190613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.1177/09721509241252499
Nor Azila Mohd Noor, Sahar E-Vahdati, Mah Pei Yew, Francis Chuah
Fostering organizational commitment among employees continues to be a major challenge among employers, as the level of commitment is generally linked to the level of satisfaction an employee has with their job. The objectives of the present study are to examine the relationship between job stress and the organizational commitment of employees and to determine the moderating influence of job satisfaction on the relationship between job stress and organizational commitment. An empirical quantitative approach using a survey method was utilized, involving 112 employees who work at various palm oil plantations in Malaysia. The sampling method used is convenience sampling, which is based on respondents’ ease of access, geographical proximity, availability and willingness to participate. The data were analyzed using the partial least squares structural equation modelling approach. The result showed that job stress is negatively related to organizational commitment, while job satisfaction does not moderate the relationship between job stress and organizational commitment. These research results provide practical guidelines for management practices in the palm oil industry. The current study promotes the management of palm estate states or smallholder plantations to employ strategies that reduce job stress among the employees, which, in turn, will boost the organizational commitment of the employees to the organization. Suggestions for future research are also elaborated on.
{"title":"The Influence of Job Stress on Organizational Commitment Among Workers in the Palm Oil Industry: Does Job Satisfaction Matter?","authors":"Nor Azila Mohd Noor, Sahar E-Vahdati, Mah Pei Yew, Francis Chuah","doi":"10.1177/09721509241252499","DOIUrl":"https://doi.org/10.1177/09721509241252499","url":null,"abstract":"Fostering organizational commitment among employees continues to be a major challenge among employers, as the level of commitment is generally linked to the level of satisfaction an employee has with their job. The objectives of the present study are to examine the relationship between job stress and the organizational commitment of employees and to determine the moderating influence of job satisfaction on the relationship between job stress and organizational commitment. An empirical quantitative approach using a survey method was utilized, involving 112 employees who work at various palm oil plantations in Malaysia. The sampling method used is convenience sampling, which is based on respondents’ ease of access, geographical proximity, availability and willingness to participate. The data were analyzed using the partial least squares structural equation modelling approach. The result showed that job stress is negatively related to organizational commitment, while job satisfaction does not moderate the relationship between job stress and organizational commitment. These research results provide practical guidelines for management practices in the palm oil industry. The current study promotes the management of palm estate states or smallholder plantations to employ strategies that reduce job stress among the employees, which, in turn, will boost the organizational commitment of the employees to the organization. Suggestions for future research are also elaborated on.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141190687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-01DOI: 10.1177/09721509241250280
Han-Sol Lee, Alexander M. Zobov, Ekaterina A. Degtereva
This study analyzes place, trends and competitiveness of the South Korean cosmetics brands to identify opportunities for the Russian cosmetics brands, whose country has suffered from a large trade deficit in the cosmetics industry despite the government’s vigorous attempts in implementing import substitution policies. We constructed the econometric models (with ordinary least square, weighted least square and robust least square estimators) of the cosmetics brands’ competitiveness by employing the endogenous factors of Porter’s diamond model, which are comprised of firm factor conditions, demand conditions, related and supporting industries, and strategy, structure and rivalry. From the regression analysis, it is revealed that the brand diversification, expansion of e-commerce sales and improvement of governance quality are factors that drive up sales revenues of a cosmetic company. The follow-up comparative analysis between Russian and South Korean companies allowed us to substantiate that the main factors causing the gap between Russian and South Korean cosmetic brands are e-commerce strategies and the efficiency of the governmental system. Russian cosmetic companies should construct stable global and domestic supply chain and expand contact points with foreign customers through big data analysis and development of customized product portfolio. Furthermore, the government is recommended to implement digital services and construct a data-sharing ecosystem to enhance efficiencies of the business process.
{"title":"Competitiveness Strategy of South Korean Cosmetic Brands: Current Practices and Opportunities for Russian Cosmetic Brands","authors":"Han-Sol Lee, Alexander M. Zobov, Ekaterina A. Degtereva","doi":"10.1177/09721509241250280","DOIUrl":"https://doi.org/10.1177/09721509241250280","url":null,"abstract":"This study analyzes place, trends and competitiveness of the South Korean cosmetics brands to identify opportunities for the Russian cosmetics brands, whose country has suffered from a large trade deficit in the cosmetics industry despite the government’s vigorous attempts in implementing import substitution policies. We constructed the econometric models (with ordinary least square, weighted least square and robust least square estimators) of the cosmetics brands’ competitiveness by employing the endogenous factors of Porter’s diamond model, which are comprised of firm factor conditions, demand conditions, related and supporting industries, and strategy, structure and rivalry. From the regression analysis, it is revealed that the brand diversification, expansion of e-commerce sales and improvement of governance quality are factors that drive up sales revenues of a cosmetic company. The follow-up comparative analysis between Russian and South Korean companies allowed us to substantiate that the main factors causing the gap between Russian and South Korean cosmetic brands are e-commerce strategies and the efficiency of the governmental system. Russian cosmetic companies should construct stable global and domestic supply chain and expand contact points with foreign customers through big data analysis and development of customized product portfolio. Furthermore, the government is recommended to implement digital services and construct a data-sharing ecosystem to enhance efficiencies of the business process.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141190614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The COVID-19 pandemic and the consequent lockdown have disrupted the farming communities across the planet; however, the indigenous communities such as the Adivasi people of tea garden areas in India have been hit hard. It becomes more crucial when we talk about marginalized communities. In India, the Adivasi tribe found in the sub-Himalayan North Bengal cultivates folk rice that needs immediate energy-efficient measures as the production has been increased after receiving the geographical indication tag. Energy efficiency estimation often applied a two-step data envelopment analysis model in agricultural production. However, in most of the previous articles, the applications discussed the factors affecting energy use efficiency with rare studies on efficiency prediction. In this article, first, data envelopment analysis was used to estimate the energy efficiency of rice growers, and in the second stage, extreme gradient boosting, a state-of-the-art machine learning algorithm, was employed to derive the key leading efficiency determinants. The findings revealed wide variation among efficient and inefficient rice growers in the first stage and derived the most salient factors predicting energy efficiency in the second stage. The optimal use of energy inputs combined with effective education, better credit delivery mechanism, arable land availability and years of farming experience provided improvement for the future energy use efficiency of the Adivasi farmers. Further, the novel application of extreme gradient boosting as a machine learning algorithm in energy efficiency evaluation suggests decision-making solutions with a prediction accuracy of 80.91%. Moreover, this study aims to assist future researchers in examining and predicting the key leading determinants to affect energy utilization.
{"title":"Are the Adivasi Rice Growers of Sub-Himalayan North Bengal Efficient Enough? Role of Machine Learning in Farm Business After COVID-19","authors":"Anirban Nandy, Poulomi Chaki Nandi, Mousumi Chatterjee, Shankhadeep Mahato, Souradipt Bandyopadhyay","doi":"10.1177/09721509241250229","DOIUrl":"https://doi.org/10.1177/09721509241250229","url":null,"abstract":"The COVID-19 pandemic and the consequent lockdown have disrupted the farming communities across the planet; however, the indigenous communities such as the Adivasi people of tea garden areas in India have been hit hard. It becomes more crucial when we talk about marginalized communities. In India, the Adivasi tribe found in the sub-Himalayan North Bengal cultivates folk rice that needs immediate energy-efficient measures as the production has been increased after receiving the geographical indication tag. Energy efficiency estimation often applied a two-step data envelopment analysis model in agricultural production. However, in most of the previous articles, the applications discussed the factors affecting energy use efficiency with rare studies on efficiency prediction. In this article, first, data envelopment analysis was used to estimate the energy efficiency of rice growers, and in the second stage, extreme gradient boosting, a state-of-the-art machine learning algorithm, was employed to derive the key leading efficiency determinants. The findings revealed wide variation among efficient and inefficient rice growers in the first stage and derived the most salient factors predicting energy efficiency in the second stage. The optimal use of energy inputs combined with effective education, better credit delivery mechanism, arable land availability and years of farming experience provided improvement for the future energy use efficiency of the Adivasi farmers. Further, the novel application of extreme gradient boosting as a machine learning algorithm in energy efficiency evaluation suggests decision-making solutions with a prediction accuracy of 80.91%. Moreover, this study aims to assist future researchers in examining and predicting the key leading determinants to affect energy utilization.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141190618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-08DOI: 10.1177/09721509241242530
Saqib Mehmood, Rudsada Kaewsaeng-on
The degradation of the environment is a global concern that needs serious attention, including the environmental Kuznets curve (EKC) hypothesis. This article examines the effects of renewable energy, financial development and economic sustainability on the environmental quality of newly industrialized countries (NICs) from 1998 to 2021 in light of the increasing severity of environmental problems associated with industrialization. This study utilized different panel cointegration estimation techniques and panel quantile regression (PQR) estimates to obtain robust findings by examining the variance of each quantile. The results of the cointegration tests confirm the long-run relationship among the variables. Nevertheless, the outcomes from the PQR unveiled that renewable energy negatively and significantly influences CO2 emissions in NICs, namely in the lower and middle quantiles (20th–50th). Financial development showed heterogeneity in the results of all the quantiles. It results in an increase in CO2 emissions from the 70th to 90th quantiles in NICs. The EKC hypothesis is relevant to these findings as this study presents the economic sustainability index, which postulates that when NICs achieve sustainability, they give greater importance to environmental preservation and sustainability. This shift is characterized by reduced emissions throughout all quantiles, ranging from the 10th to the 90th. Economic sustainability corresponds to the falling part of the U-shaped curve of the EKC, wherein sustainability gets priority, resulting in reduced CO2 emissions. Analogous results have been confirmed by comparing heterogeneous panel estimators; nonetheless, there was a significant variation in the intensity of their parameters. Moreover, the robustness analysis through quantile slope equality and symmetric quantiles tests proved legitimate results. The study’s findings offer policymakers with valuable policy recommendations.JEL Codes: C1, F36, F43, O44, Q56
{"title":"Quantifying Environmental Degradation through Renewable Energy, Financial Development and Economic Sustainability: Insights from Panel Quantile Regression Analysis","authors":"Saqib Mehmood, Rudsada Kaewsaeng-on","doi":"10.1177/09721509241242530","DOIUrl":"https://doi.org/10.1177/09721509241242530","url":null,"abstract":"The degradation of the environment is a global concern that needs serious attention, including the environmental Kuznets curve (EKC) hypothesis. This article examines the effects of renewable energy, financial development and economic sustainability on the environmental quality of newly industrialized countries (NICs) from 1998 to 2021 in light of the increasing severity of environmental problems associated with industrialization. This study utilized different panel cointegration estimation techniques and panel quantile regression (PQR) estimates to obtain robust findings by examining the variance of each quantile. The results of the cointegration tests confirm the long-run relationship among the variables. Nevertheless, the outcomes from the PQR unveiled that renewable energy negatively and significantly influences CO<jats:sub>2</jats:sub> emissions in NICs, namely in the lower and middle quantiles (20th–50th). Financial development showed heterogeneity in the results of all the quantiles. It results in an increase in CO<jats:sub>2</jats:sub> emissions from the 70th to 90th quantiles in NICs. The EKC hypothesis is relevant to these findings as this study presents the economic sustainability index, which postulates that when NICs achieve sustainability, they give greater importance to environmental preservation and sustainability. This shift is characterized by reduced emissions throughout all quantiles, ranging from the 10th to the 90th. Economic sustainability corresponds to the falling part of the U-shaped curve of the EKC, wherein sustainability gets priority, resulting in reduced CO<jats:sub>2</jats:sub> emissions. Analogous results have been confirmed by comparing heterogeneous panel estimators; nonetheless, there was a significant variation in the intensity of their parameters. Moreover, the robustness analysis through quantile slope equality and symmetric quantiles tests proved legitimate results. The study’s findings offer policymakers with valuable policy recommendations.JEL Codes: C1, F36, F43, O44, Q56","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-08DOI: 10.1177/09721509241244989
Amal Jishnu HM, Anjitha KB, Hareendrakumar VR
The Indian construction industry faces many challenges, such as low productivity, project delays and a lack of professionalism. To remain competitive, construction companies must adopt innovative technologies to make their operations more efficient. In this context, the management of companies needs to understand employee attitudes and perceptions of technology adoption to make investment decisions for adopting new technologies. This study aims to assess the employees’ perceptions of e-procurement as part of technology adoption in the construction sector. The popular Unified Theory of Acceptance and Use of Technology (UTAUT) framework was adapted to develop a study model with employee attitude added as a mediating variable. Data collected from 305 employees working in the materials departments of different private construction companies are analyzed using SPSS Amos, a covariance-based structural equation modelling (CBSEM) tool. The study results revealed the strength of the predictor variables in determining the predicted variable and the significant role of the mediating variable in shaping employee perceptions. The results can provide valuable information to the management of the construction companies about which factors promote the adoption and acceptance of digital technologies. This awareness is greatly helpful in changing or adjusting the situation to improve employee perceptions of accepting new technologies.
{"title":"Technology Adoption in Material Procurement: An Empirical Study Applying the UTAUT Model Among Construction Companies in India","authors":"Amal Jishnu HM, Anjitha KB, Hareendrakumar VR","doi":"10.1177/09721509241244989","DOIUrl":"https://doi.org/10.1177/09721509241244989","url":null,"abstract":"The Indian construction industry faces many challenges, such as low productivity, project delays and a lack of professionalism. To remain competitive, construction companies must adopt innovative technologies to make their operations more efficient. In this context, the management of companies needs to understand employee attitudes and perceptions of technology adoption to make investment decisions for adopting new technologies. This study aims to assess the employees’ perceptions of e-procurement as part of technology adoption in the construction sector. The popular Unified Theory of Acceptance and Use of Technology (UTAUT) framework was adapted to develop a study model with employee attitude added as a mediating variable. Data collected from 305 employees working in the materials departments of different private construction companies are analyzed using SPSS Amos, a covariance-based structural equation modelling (CBSEM) tool. The study results revealed the strength of the predictor variables in determining the predicted variable and the significant role of the mediating variable in shaping employee perceptions. The results can provide valuable information to the management of the construction companies about which factors promote the adoption and acceptance of digital technologies. This awareness is greatly helpful in changing or adjusting the situation to improve employee perceptions of accepting new technologies.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140931612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-06DOI: 10.1177/09721509241238555
Amanpreet Kaur Mishra, Rahela Farooqi
This study aims to examine the influence of consumer-level psychological factors like affordability, availability, awareness and apprehension on green purchase behaviour among Indian Millennials while buying fast-moving consumer goods. 651 responses were analyzed on SmartPLS 4, and was it found that affordability, awareness and availability had a significant positive impact on green purchase behaviour, while apprehension did not show any significant impact. To increase green purchase behaviour, managers should make eco-friendly products affordable and widely available while promoting consumer awareness. As per the results, addressing consumer apprehension is not a significant factor in influencing green purchase behaviour, which indicates that managers need not worry much about addressing consumer fears while promoting green products. Though the study found no significant difference in green purchase behaviour between genders; education, occupation and income groups showed significant differences in purchase behaviour. This nuanced understanding offers companies and marketers a foundation to craft targeted marketing strategies aimed at encouraging the Indian Millennials to choose sustainable options in their consumer habits.
{"title":"Examining the Influence of Consumer-level Psychological Factors on Green Purchase Behaviour: Analyzing Socio-demographic Aspects Among Indian Millennials","authors":"Amanpreet Kaur Mishra, Rahela Farooqi","doi":"10.1177/09721509241238555","DOIUrl":"https://doi.org/10.1177/09721509241238555","url":null,"abstract":"This study aims to examine the influence of consumer-level psychological factors like affordability, availability, awareness and apprehension on green purchase behaviour among Indian Millennials while buying fast-moving consumer goods. 651 responses were analyzed on SmartPLS 4, and was it found that affordability, awareness and availability had a significant positive impact on green purchase behaviour, while apprehension did not show any significant impact. To increase green purchase behaviour, managers should make eco-friendly products affordable and widely available while promoting consumer awareness. As per the results, addressing consumer apprehension is not a significant factor in influencing green purchase behaviour, which indicates that managers need not worry much about addressing consumer fears while promoting green products. Though the study found no significant difference in green purchase behaviour between genders; education, occupation and income groups showed significant differences in purchase behaviour. This nuanced understanding offers companies and marketers a foundation to craft targeted marketing strategies aimed at encouraging the Indian Millennials to choose sustainable options in their consumer habits.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140885370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-30DOI: 10.1177/09721509241245788
Elena Ochirova, Mikhail Miriakov, Yury Dranev, Nikita Kamunin
Practices of corporate social responsibility often generate synergetic effects and improve financial and overall firm’s performance. However, in the high-tech industries, research and development (R&D) efficiency remains a key element of development strategy, and a shift towards sustainable activities can be considered as a trade-off. This study investigates the empirical link between corporate social responsibility practices and R&D effectiveness in R&D-intensive industries. Specifically, this research assesses the impact of environmental, social, and governance information disclosure, the availability of third-party rating, and long-termism on R&D returns. We employ the Hausman–Taylor estimator to analyze three R&D-intensive industries, namely pharmaceuticals, biotechnology and software, for the period from 2012 to 2019. Empirical results show that, in general, higher values of corporate social responsibility metrics are associated with the weaker R&D returns. The findings of this research might be meaningful for managers in making informed decisions with respect to corporate social responsibility practices.
{"title":"Assessing the Relationship between Corporate Social Responsibility and R&D Effectiveness of Firms","authors":"Elena Ochirova, Mikhail Miriakov, Yury Dranev, Nikita Kamunin","doi":"10.1177/09721509241245788","DOIUrl":"https://doi.org/10.1177/09721509241245788","url":null,"abstract":"Practices of corporate social responsibility often generate synergetic effects and improve financial and overall firm’s performance. However, in the high-tech industries, research and development (R&D) efficiency remains a key element of development strategy, and a shift towards sustainable activities can be considered as a trade-off. This study investigates the empirical link between corporate social responsibility practices and R&D effectiveness in R&D-intensive industries. Specifically, this research assesses the impact of environmental, social, and governance information disclosure, the availability of third-party rating, and long-termism on R&D returns. We employ the Hausman–Taylor estimator to analyze three R&D-intensive industries, namely pharmaceuticals, biotechnology and software, for the period from 2012 to 2019. Empirical results show that, in general, higher values of corporate social responsibility metrics are associated with the weaker R&D returns. The findings of this research might be meaningful for managers in making informed decisions with respect to corporate social responsibility practices.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140826951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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