Search results

This study aims to analyze the adoption of open access (OA) publishing in social sciences within central universities in India, focusing on various aspects such as the growth of OA literature, the use of different OA routes and collaboration patterns in OA publications.

Ten central universities were selected based on their rankings in the National Institute Ranking Framework 2022. Data on OA publishing in social sciences were collected from the Social Science Citation Index of the Web of Science (WoS) database using the advanced search query “(CU=India OR AD=India) AND PY=(2003–2022) NOT PY=(2023).” Data analysis was conducted using MS Excel (v16.0), BibExcel (version 2017), Biblioshiny (version 4.1.2) and Google Open Refine (version 3.7).

The study found that 30.40% of total publications were OA, with BHU as leading institute in OA publishing. OA publishing in social sciences saw a consistent increase, peaking in 2022 with 209 publications. “Sustainability” and “Plos One” were among the top ten journals, with 103 and 34 OA papers, respectively. OA publications had a higher mean citation rate than closed access publications. Collaboration with seven and nine authors had higher mean citation rates, while six-author collaborations were lower. Indian researchers received the most citations collaborating with the USA, UK and Australia. The Netherlands and Saudi Arabia received the fewer citations, when collaborating with Indian authors.

The study’s main limitation is its reliance on WoS data, excluding many OA publications from smaller or specialized journals. Additionally, the focus on high-ranked central universities may not represent the entire academic landscape, as OA publishing patterns vary across other institutions and disciplines.

The study’s findings suggest that advancing OA publishing in social sciences at Indian universities requires raising awareness of OA concepts, enhancing institutional support and policies and informing researchers about funding opportunities. Emphasizing Gold OA and funding publication fees can broaden access to research. Universities with low OA ratios should adopt similar policies, mandate public research deposits and develop technical infrastructure. Encouraging multi-author collaborations can boost research impact and citation rates. Insights from the study can help institutions and policymakers shape effective OA strategies, enhancing the visibility and impact of social science research.

This is the first study analyzing the adoption of OA in the field of social sciences in high-ranked central universities in India. It has implications for promoting OA and increasing accessibility to research outputs. Universities with higher OA ratios can lead in this regard and encourage others to adopt similar practices for overall OA growth.

This study aims to examine the scholarly impact of funded and non-funded research published in ten core library and information science (LIS) journals published in 2016.

In total, ten high-impact LIS journals were selected using Google Scholar metrics. The source title of each selected journal was searched in the Scopus database to retrieve the articles published in 2016. The detailed information of all the retrieved articles for every journal was exported in a CSV Excel file, and after collecting all the journal articles’ information, all CSV Excel files were merged into a single MS Excel file for data analysis.

The study analyzed 1,064 publications and found that 14% of them were funded research articles. Funded articles received higher average citation counts (24.56) compared to non-funded articles (20.49). Funded open-access articles had a higher scholarly impact than funded closed-access articles. The research area with the most funded articles was “Bibliometrics,” which also received the highest number of citations (1,676) with an average citation count of 24.64. The National Natural Science Foundation of China funded the most papers (30), while the USA funded the highest number of research publications (36) in the field of LIS.

This study highlights the importance of securing funding, open access publishing, discipline-specific differences, diverse funding sources and aiming for higher citations. Researchers, practitioners and policymakers can use these findings to enhance research impact in LIS.

This study explores the impact of funding on research LIS and provides valuable insights into the intricate relationship between funding and research impact.

There has been remained a supporting linkage between the sustainable performance and the green supply chain through quality management practices. However, the main objective or aim of this research study is to understand the green supply chain and its role in lean manufacturing and analyze its impact on the performance of Thailand’s garment industry, whereas there is a need to analyze the mediating role of lean manufacturing practices (LMP) and green supply management on environmental performance of garment industry. In this case, the data were assembled through a survey questionnaire, in which questions regarding LMP were asked. The selected sample size for this research study was 411 employees that belonged to garment firms in Thailand, in which 56.4% were men and 43.6% were women. The researchers analyzed the data through different techniques and procedures such as confirmatory factors analysis, structural equation modeling (SEM), discriminant validity and other related techniques. The results of the research indicated that there is a significant impact of 4.0 technologies on environmental performance, whereas both of these, the green and the lean management practices also play a significant mediating role, because all the hypothesis are accepted. Moreover, it is recommended for future researchers to use other techniques to analyze data.

The purpose of the study is to measure the mediating relationship of online buying intentions between narcissism, materialism and brand experience and their effect on luxury purchase behaviour of luxury items by Phuket, Thailand customers. The study has used primary data collection techniques to gather data and used purposive sampling to analyse the data. The study's sample size is 250 respondents who prefer to buy luxury items. The research has used Smart PLS software to measure the relationship through bootstrapping and algorithms. The study has found significant positive mediation of online buying intentions between narcissism, materialism and brand experience and their effect on luxury purchase behaviour of luxury items. This study suggests the theoretical and practical implications for purchasing luxury behaviour from managerial, policymakers and researched perspectives. This study also discusses the future directions and limitations.

The desire of international retail brands to implement sustainable supply chain practices in the fashion value chain and improve suppliers' sustainability efforts; this research paper elucidates the relationship between blockchain technology and sustainability to impact apparel firms' triple bottom line.

For studying the impact of sustainable supply chain practices on the triple bottom line, a survey questionnaire was chosen and sent out to 500 garment companies simultaneously, of which 371 responded. The data collected is cross-sectional. The questionnaire survey was developed keeping in mind a few demographic elements such as experience, age and qualification to generalize the findings. For analysis, SmartPLS is used to run model structuring and regression analysis.

Test runs on model structure confirm the instrument's validity and reliability. Bootstrapping on the theoretical model to test developed hypotheses suggests that supply chain sustainability practices positively affect social, environmental and economic performance in a direct relationship. Further, indirect relation testing conducted to test blockchain technology's moderation influences only the constructs' relations.

The clubbing of sustainable supply chain practices and blockchain technology is a novel idea in the apparel industry; however, there are more constructs in the context of practice-based theory and supply chain which impact firm performance. Also, the research limits itself from discussing IT infrastructure and smart contract types that impact the technology's performance.

The study provides a framework for interpreting the synergetic influence of SSCP on firm social, environmental and economic performances, which is demanded both by consumers and regulators in an industry. The results suggest that managers sustainably design the production ecosystem, thus eliminating any discrepancy or slackness in the complete chain. Usually, suppliers are ignored, which are precursors in implementing SSCP.

The paper studies sustainability problems through ecological modernization theory and practical-based theory giving a unique perspective on the issue faced by the apparel industry and combining sustainable supply chain practices and blockchain.

The purpose of this study is to examine the impact of Industry 4.0 on economic and environmental performance through the mediation of green supply chain management (GSCM) practices in the emerging economic context, like Pakistan.

This cross-sectional study investigates Industry 4.0 effects on economic and environmental performance through GSCM practices in an emerging economy. For the testing of hypotheses, Smart-PLS is employed. In total, 284 valid responses were analyzed in this study.

The outcomes indicate that GSCM practices mediate the effect of Industry 4.0 on both economic and environmental performance. Also, the results indicate that GSCM practices are positively affected by Industry 4.0.

The scope of this study is limited to manufacturing firms in Pakistan. Future studies may explore other variables that could expedite the adoption of GSCM as the concept of GSCM is still in its infancy. Future studies can conceptualize GSCM through resource based theory as mainstream SCM research has largely ignored the synergistic view of resource based approach in conceptualizing green supply chain models. Implications include policy making that emphasis on enhancing environmental knowledge training.

According to the best knowledge of the researcher, no study has been conducted regarding the effect of Industry 4.0 on economic and environmental performance through the mediation of GSCM practices in the emerging economy, like Pakistan.

By studying the green development efficiency (GDE) of 33 cities in the provinces of Jiangsu, Zhejiang, and Fujian in China, this study strives to conduct an analysis of the sustainable practices implemented in these developed regions, and derive valuable insights that can foster the promotion of green transformation.

First, the urban green development system (GDS) was decomposed into the economic benefit subsystem (EBS), social benefit subsystem (SBS), and pollution control subsystem (PCS). Then, a mixed network SBM model was proposed to evaluate the GDE during 20152020, with Moran’s I and Bootstrap truncated regression model subsequently applied to measure the spatial characteristics and driving factors of efficiency.

Subsystem efficiency presents a distribution trend of PCS > EBS > SBS. There is a particular spatial aggregation effect in EBS efficiency, whereas SBS and PCS efficiencies have no significant spatial autocorrelation. Furthermore, urbanization level contributes significantly to the efficiency of all subsystems; industrial structure, energy consumption, and technological innovation play a crucial role in EBS and SBS; external openness is a pivotal factor in SBS; and environmental regulation has a significant effect on PCS.

This study further decomposes the black box of GDS into subsystems including the economy, society, and environment. Additionally, by employing a mixed network SBM model and Bootstrap truncated regression model to investigate efficiency and its driving factors from the subsystem perspective, it endeavors to derive more detailed research conclusions and policy implications.

The concept of green supply chain management (GSCM) is evolving rapidly due to the environmental concerns and gaining popularity in the research community. This study critically analyze the literature of GSCM pressure, practice and performance for manufacturing enterprises based on the results of bibliometric, network and frequency analyses.

Scopus database is used for literature search. Bibliometric network and frequency analysis are used to critically review the evolution of identified constructs and measures of GSCM pressure, practice and performance.

This study has identified that the selected topic is in growing stage through the collaborative effort of the worldwide researchers. This study also shows the diffusion of influence in developing countries and there are enormous opportunities of research in these regions. The study finds evaluation of GSCM constructs and measures with time and shift in focus areas by the researchers. The study suggests more focus on the measurement of informative pressures, reverse logistics practices and negative impact on economic performance due to the adoption of GSCM practices. There is a need of simultaneous analysis of GSCM pressures, practices and performance to identify the cascading effect in different regions and industrial sectors and developed a conceptual framework to identify this effect. This study also observes the need of more quantitative measures-based case studies and suggests the use of life cycle assessment for the quantification of environmental performance.

This study for the first time has analyzed a specific topic of GSCM pressure, practice and performance through bibliometric and network analyses. This study critically reviews the constructs and measures of GSCM pressure, practice and performance and identified the future research directions.

The goal of this study is to analyze the relationship between public governance and COVID-19 vaccinations during early 2021 to assess the preparedness of countries to timely policy responses to cope with pandemic crises.

This global study elaborates descriptive statistics, correlations, regression analyses and Independent Samples T-Test on 112 countries, comparing those with high/low level of governance, to determine whether statistical evidence supports the hypothesis that good governance can improve the timely administration of vaccines.

Bivariate correlation reveals that doses of vaccines administered × 100 inhabitants have a high positive association with the General Index of Governance (r = 0.58, p-value <0.01). The result is confirmed by partial correlation (controlling density of population per km²): r = 0.584, p-value <0.001. The coefficient of regression in the models also indicates that an increase in the General Index of Governance improves the expected administration of doses of COVID-19 vaccines (p-value <0.001).

Although this study has provided interesting results that are, of course, tentative, it has several limitations. First, a limitation is the lack of data in several countries. Second, not all the possible confounding factors that affect the vaccination against COVID-19 are investigated, such as country-specific health investments and expenditures, and these aspects should be examined in the future development of this research. A third limit is related to the measurement of governance through the World Governance Indicators, which are based only on perceptions and can be biased by different socio-economic factors.

The identification of factors determining the timely vaccinations may help to design best practices of health policy for improving the resilience of countries to face pandemic crises.

The improvement of preparedness of countries through good governance can foster a rapid rollout of vaccinations to cope with pandemic threats and the negative effects of their socio-economic impact.

This study presents a global analysis of the role of public governance for timely vaccinations to face pandemic crises in society.

The studies which connect international marketing emotions with perceived service quality are scarce. The purpose of this paper is to fill this knowledge gap and take into account the consumers’ perceived animosity, religiosity, and ethnocentrism to connect these with perceived service quality and purchase intentions of US-based fast food brand chains currently operating in Pakistan.

The authors collected data by means of a self-administered questionnaire, distributed among 500 consumers, randomly selected, patronized the four US fast food brands, namely, McDonalds, KFC, Pizza Hut, and Subway in the city of Lahore in Pakistan. The data are analyzed by employing Structural equation modeling (SEM) based on AMOS 21.0 software.

Results of this study reveal that religiosity and ethnocentrism among Pakistani fast food consumers are low and do not influence the decision to purchase fast food brands. However, consumer emotions influence service quality perceptions – ultimately leading to purchase intentions.

The study generally adds to marketing and specifically to international food service marketing knowledge by eliciting the role of religiosity, animosity, and ethnocentrism to delineate service quality and purchase intentions. Furthermore, the external validity of PAKSERV scale and the context of Pakistan – a collectivist Muslim country are also the unique products of this study.