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":"83 1","pages":""},"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":"26 1","pages":""},"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":"94 1","pages":""},"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":"38 1","pages":""},"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":"156 1","pages":""},"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":"29 1","pages":""},"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":"199 1","pages":""},"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}
Pub Date : 2024-04-29DOI: 10.1177/09721509241246558
Stefan Kuhn, Veera Bhatiasevi
Innovation is recognized as one of the key factors for economic growth and building a competitive advantage for small and medium-sized enterprises (SMEs) in today’s world. The purpose of this research is to investigate how innovation is related to organizational culture and performance of SMEs located in Germany and Thailand. Based on an extensive literature review, the authors propose a comprehensive research model that integrates the competing values framework, organizational innovation and the balanced scorecard framework. Data from 213 respondents across both countries were collected and analyzed utilizing structural equation modelling. Results show that despite their contrasting national cultures, adhocracy culture is a key driver of organizational innovation in both countries, leading to enhanced overall organizational performance, particularly in financial and customer dimensions. This study enriches organizational behaviour research with unique cross-cultural perspectives and equips leaders of SMEs with practical strategies for cultivating an adhocracy culture across diverse cultural landscapes.
{"title":"The Impact of Organizational Culture on the Innovation and Performance of SMEs: A Comparative Study between Germany and Thailand","authors":"Stefan Kuhn, Veera Bhatiasevi","doi":"10.1177/09721509241246558","DOIUrl":"https://doi.org/10.1177/09721509241246558","url":null,"abstract":"Innovation is recognized as one of the key factors for economic growth and building a competitive advantage for small and medium-sized enterprises (SMEs) in today’s world. The purpose of this research is to investigate how innovation is related to organizational culture and performance of SMEs located in Germany and Thailand. Based on an extensive literature review, the authors propose a comprehensive research model that integrates the competing values framework, organizational innovation and the balanced scorecard framework. Data from 213 respondents across both countries were collected and analyzed utilizing structural equation modelling. Results show that despite their contrasting national cultures, adhocracy culture is a key driver of organizational innovation in both countries, leading to enhanced overall organizational performance, particularly in financial and customer dimensions. This study enriches organizational behaviour research with unique cross-cultural perspectives and equips leaders of SMEs with practical strategies for cultivating an adhocracy culture across diverse cultural landscapes.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":"39 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140827096","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 : 2024-04-26DOI: 10.1177/09721509241246248
Priyanka Gupta, Umesh Bamel
Self-regulation has gained much prominence due to its necessity and significance in eLearning environment. The nature of eLearning mandates higher self-regulation to attain efficacy. In this article, we study the Online Self-regulated Learning Quotient (OSLQ) scale as it is a pioneering scale that has been verified for studying self-regulation in eLearning environment. The literature delineates the need to empirically examine the reliability and validity of the OSLQ in various contexts. This study was conducted in two phases on business school students from tier one management institutes in India. In phase 1, we performed qualitative analysis through focus group discussions on a sample of 24 respondents to check the content validity of the scale. In phase 2, we performed quantitative analysis on a sample of 528 respondents. Exploratory factor analysis in phase 2 of the study confirmed six factors. Confirmatory factor analysis in phase 2 of the study confirmed scale validity. Based on the findings, we conclude that OSLQ is a valid and reliable scale to assess self-regulation among Indian students in eLearning context. These findings have added to the theoretical legitimacy of the scale. In terms of practical implication, our findings suggest that OSLQ may be employed in an Indian context. This has significant implications for future research in self-regulation studies in India, especially in the context of eLearning.
{"title":"Does eLearning Require Self-regulated Discipline? Measuring and Validating a Scale for Online Self-regulated Learning Quotient","authors":"Priyanka Gupta, Umesh Bamel","doi":"10.1177/09721509241246248","DOIUrl":"https://doi.org/10.1177/09721509241246248","url":null,"abstract":"Self-regulation has gained much prominence due to its necessity and significance in eLearning environment. The nature of eLearning mandates higher self-regulation to attain efficacy. In this article, we study the Online Self-regulated Learning Quotient (OSLQ) scale as it is a pioneering scale that has been verified for studying self-regulation in eLearning environment. The literature delineates the need to empirically examine the reliability and validity of the OSLQ in various contexts. This study was conducted in two phases on business school students from tier one management institutes in India. In phase 1, we performed qualitative analysis through focus group discussions on a sample of 24 respondents to check the content validity of the scale. In phase 2, we performed quantitative analysis on a sample of 528 respondents. Exploratory factor analysis in phase 2 of the study confirmed six factors. Confirmatory factor analysis in phase 2 of the study confirmed scale validity. Based on the findings, we conclude that OSLQ is a valid and reliable scale to assess self-regulation among Indian students in eLearning context. These findings have added to the theoretical legitimacy of the scale. In terms of practical implication, our findings suggest that OSLQ may be employed in an Indian context. This has significant implications for future research in self-regulation studies in India, especially in the context of eLearning.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":"141 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140800980","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 : 2024-04-18DOI: 10.1177/09721509241245544
Sonia Pant, Debashis Chakraborty
Servicification of manufacturing, generally understood as the increasing use of service inputs in the production process of goods, is often associated with high-income countries. Recent empirical research on servicification and its impact on manufacturing exports across low-middle income countries is, however, relatively scarce. The current article empirically tests the servicification for low-middle income countries using the World Bank Enterprise Survey (WBES) database over 2006–2021. A fixed effect model with country-sector-year fixed effects is used to study the impact of servicification on existing exporters (intensive margin), and a Logit model is estimated to determine the corresponding impact on the decision to export (extensive margin). While the positive influence of servicification on manufacturing exports is confirmed, different service categories (e.g., transport & communication, information & technology, research & development, legal, finance and related services) are found to play an essential role in determining the decision to enter the export market, while leaving a weaker impact on existing exporters. The findings suggest that increasing the use of different categories of service inputs may differently influence firm-level export behaviour. Liberalization of services, in the era of Industry 4.0, is expected to further enhance this interlinkage. These inevitable dynamics require preparations by firm-level decision-makers to benefit from the emerging opportunities.
{"title":"Is Service Orientation Benefitting Manufacturing Exports from Low-Middle Income Countries? Firm-level Empirical Evidence from WBES Data","authors":"Sonia Pant, Debashis Chakraborty","doi":"10.1177/09721509241245544","DOIUrl":"https://doi.org/10.1177/09721509241245544","url":null,"abstract":"Servicification of manufacturing, generally understood as the increasing use of service inputs in the production process of goods, is often associated with high-income countries. Recent empirical research on servicification and its impact on manufacturing exports across low-middle income countries is, however, relatively scarce. The current article empirically tests the servicification for low-middle income countries using the World Bank Enterprise Survey (WBES) database over 2006–2021. A fixed effect model with country-sector-year fixed effects is used to study the impact of servicification on existing exporters (intensive margin), and a Logit model is estimated to determine the corresponding impact on the decision to export (extensive margin). While the positive influence of servicification on manufacturing exports is confirmed, different service categories (e.g., transport & communication, information & technology, research & development, legal, finance and related services) are found to play an essential role in determining the decision to enter the export market, while leaving a weaker impact on existing exporters. The findings suggest that increasing the use of different categories of service inputs may differently influence firm-level export behaviour. Liberalization of services, in the era of Industry 4.0, is expected to further enhance this interlinkage. These inevitable dynamics require preparations by firm-level decision-makers to benefit from the emerging opportunities.","PeriodicalId":47569,"journal":{"name":"Global Business Review","volume":"242 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140630394","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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