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1 – 10 of 310Muzamil Mushtaq, Basharat Ahmad Malik and Nida Khan
This study aims to provide insight into Library and Information Science (LIS) research in India using scientometric approaches. Web of Science (WoS) and SCOPUS databases were used…
Abstract
Purpose
This study aims to provide insight into Library and Information Science (LIS) research in India using scientometric approaches. Web of Science (WoS) and SCOPUS databases were used for data retrieval. The study examines productivity in terms of source types, gender distribution, document formats, authorship and other factors. In addition, this study sought to identify trends or patterns in the research preferences of LIS scientists through text analysis.
Design/methodology/approach
Data were downloaded from the WoS and Scopus databases over 22 years and analysed using VOSviewer, Orange, Biblioshiny and CRExplorer softwares.
Findings
The findings reveal that 5,692 out of the 9,384 documents in both databases underwent the final examination. In total, 466 different sources produced all of those papers. Author analysis revealed that 6,603 different authors authored 5,692 documents. There were 4,209 male and 1,063 female authors. Furthermore, India shares maximum collaborations with the USA and England. The spectrogram features nine significant peaks corresponding to Lotka’s, Bradford’s and similar laws. Text analysis revealed that Indian LIS researchers have consistently investigated open access and digital or open libraries.
Research limitations/implications
The findings of this study will provide readers with a better understanding of India’s contribution to LIS. In addition, the study will help academics identify research gaps and undiscovered areas in the Indian context that require further investigation.
Originality/value
Not many studies highlight Indian research trends and international collaboration in LIS. This study highlights research trends, collaboration and gender productivity in LIS. The most cited references and trending topics were also identified using reference publication year spectroscopy and text analysis techniques.
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Technology and market pressures are encouraging localized and small-series production in customer-driven industries. The purpose of this paper is to explore and understand the…
Abstract
Purpose
Technology and market pressures are encouraging localized and small-series production in customer-driven industries. The purpose of this paper is to explore and understand the supply chain-, product- and process-design factors for small-series production in EU’s textile and apparel industry, to understand configuration decisions, priorities and challenges.
Design/methodology/approach
An interview study was undertaken with ten companies that represent diverse small-series production models and value chain roles. Interview data was analysed to identify supply network configuration characteristics, decision priorities and challenges.
Findings
Three small-series production models emerged from the analysis, differing with respect to adoption of process postponement and customization. The findings confirm and extend past research regarding diverse decision priorities and product, process, supply chain structure/relationship configurations. Challenges identified relate to planning (priorities) and implementation (configuration). Whereas competence availability and digital technology challenges are common, several difficulties are linked to production model like tensions related to priorities and small volumes, which are not found with customization.
Research limitations/implications
Future research can make comparisons with other industry and location contexts; adopt dynamic approaches to distinguish between design and reconfiguration processes; and address indicated paradoxical-tensions.
Practical implications
The study findings can provide guidance for companies regarding identification of priorities and management of (planning/implementation) challenges impacting small-series production in T&A.
Originality/value
The paper brings a configuration perspective at the supply chain level to the problem of small-series production implementation, which demands holistic and context-specific understanding.
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Subhodeep Mukherjee, Manish Mohan Baral, Ramji Nagariya, Venkataiah Chittipaka and Surya Kant Pal
This paper aims to investigate the firm performance of micro, small and medium enterprises (MSMEs) by using artificial intelligence-based supply chain resilience strategies. A…
Abstract
Purpose
This paper aims to investigate the firm performance of micro, small and medium enterprises (MSMEs) by using artificial intelligence-based supply chain resilience strategies. A theoretical framework shows the relationship between artificial intelligence, supply chain resilience strategy and firm performance.
Design/methodology/approach
A questionnaire is developed to survey the MSMEs of India. A sample size of 307 is considered for the survey. The employees working in MSMEs are targeted responses. The conceptual model developed is tested empirically.
Findings
The study found that eight hypotheses were accepted and two were rejected. There are five mediating variables in the current study. Artificial intelligence, the independent variable, positively affects all five mediators. Then, according to the survey and analysis of the final 307 responses from MSMEs, the mediating variables significantly impact the dependent variable, firm performance.
Research limitations/implications
This study is limited to emerging markets only. Also this study used only cross sectional data collection methods.
Practical implications
This study is essential for supply chain managers and top management willing to adopt the latest technology in their organisation or firmfor a better efficient supply chain process.
Originality/value
This study investigated artificial intelligence-based supply chain resilience for improving firm performance in emerging countries like India. This study tried to fill the research gap in artificial intelligence and supply chain resilience.
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Muhammed Ashiq Villanthenkodath and Shreya Pal
This study scrutinizes the impact of economic globalization on ecological footprint while endogenizing economic growth and energy consumption during 1990–2018 in India.
Abstract
Purpose
This study scrutinizes the impact of economic globalization on ecological footprint while endogenizing economic growth and energy consumption during 1990–2018 in India.
Design/methodology/approach
For time series analysis, the standard unit root test has been employed to unveil the integration order. Then, the cointegration was confirmed using autoregressive distributed lag (ARDL) analysis. Further, the study executed the dynamic ARDL simulation model to estimate long-run and short-run results along with simulation and robotic prediction.
Findings
The cointegration analysis confirms the existence of a long-run association among variables. Further, economic globalization reduces the ecological footprint in the long-run. Similarly, energy consumption decreases the ecological footprint. In contrast, economic growth spurs the ecological footprint in India.
Originality/value
The present study makes valuable and original contributions to the literature by applying a multivariate ecological footprint function, assessing the impact of economic globalization on ecological footprint while considering economic growth and energy consumption in India.
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Dolly Gaur, Kanishka Gupta and Abhinav Pal
To promote gender equality, world leaders at the UN came up with Sustainable Development Goal 5 (SDG5). It proposes to eliminate discrimination against women by providing them…
Abstract
Purpose
To promote gender equality, world leaders at the UN came up with Sustainable Development Goal 5 (SDG5). It proposes to eliminate discrimination against women by providing them with similar opportunities for reaching leadership positions. Hence, this study aims to examine the contribution made by women transformational leaders to their employees’ performance. The study seeks to emphasize the role played by female leaders in the on-job performance of employees and their mental well-being by encouraging intrinsic motivation among them.
Design/methodology/approach
For the purpose of data collection, a questionnaire was sent through Google Forms to the employees who had females as their superiors or in the decision-making position. Data from a final sample of 517 respondents was gathered, on which SEM was applied to analyze the direct impact of transformational women’s leadership on employee performance and the indirect impact through the mediation of intrinsic motivation.
Findings
The study found that by having feminine traits, women are stronger transformational leaders as they encourage individuals to be self-motivated instead of getting stimulated because of some external incentive. Also, such a leadership style ensures better work performance and mentally healthier employees. In addition, transformational women's leadership creates a better work environment by inspiring a teamwork culture instead of individualism.
Practical implications
The study has implications for not just researchers but other stakeholders as well. The study is useful for organizations as it directs them to hire and promote more women for leadership positions. Also, the results hint that people prefer working for women-led organizations as it will ensure a healthier work atmosphere.
Originality/value
There are many studies from earlier times related to transformational leadership. However, female leadership and the role it plays for employees have not gotten their fair share of attention. Thus, to the best of the authors’ knowledge, the present work is one of the very few where contributions made by women transformational leaders have been assessed.
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Kedarnath Thakur, Talina Mishra, Lalatendu Kesari Jena and Suchitra Pal
The purpose of this paper is to investigate the impact of blended working (BW) on individual payoffs like psychological ownership (PO), affective organizational commitment (AOC…
Abstract
Purpose
The purpose of this paper is to investigate the impact of blended working (BW) on individual payoffs like psychological ownership (PO), affective organizational commitment (AOC) and digital stress (DS). Additionally, the study also examines the moderating role of organizational optimism (OO) on the relationships stated to determine the boundary condition of the relationship between BW and the individual payoffs.
Design/methodology/approach
A longitudinal field survey based on executives employed in the Indian service industries (comprised of state-owned banks, three healthcare and four MNCs) was conducted. Levels of BW, AOC, PO, DS and OO were measured through a validated scale, and the relationships' significance was explored.
Findings
The result indicated that BW positively influences AOC and DS, while OO influences PO positively and DS negatively. OO also moderates the influence of BW on PO and DS.
Originality/value
This research extends its contribution to the extant literature by (1) exploring the unique context of research in work conditions (BW) across India, (2) examining macro level factor (OO) in the linkage between BW and psychosocial factors, (3) investigating the moderating effect of OO and (4) considering a relatively large sample for empirical analysis in several waves to study BW and its individual pay-offs.
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Rudrajeet Pal and Erik Sandberg
The purpose of this study is to explore the antecedents of uncaptured sustainable value and strategies to generate opportunities to capture it in the circular supply chain of…
Abstract
Purpose
The purpose of this study is to explore the antecedents of uncaptured sustainable value and strategies to generate opportunities to capture it in the circular supply chain of post-consumer used clothing.
Design/methodology/approach
This study is based on an inductive analysis of 21 semi-structured interviews conducted with various stakeholders in the circular clothing supply chain (for-profit and not-for-profit) using the value mapping approach, as previously applied in the literature on sustainable business models.
Findings
Fifteen antecedents of uncaptured sustainable value, and thirteen value opportunity strategies were revealed that hinder or generate multi-dimensional value types. Economic value is impacted the most, while there is lack of explicit understanding of the impact of these antecedents and strategies on environmental and social value capture. From a multi-stakeholder perspective, the ecosystem is emerging as new for-profit actors are developing novel process technologies, while not-for-profit actors are consolidating their positions by offering new service options. There is also an emerging “coopetition” between the different stakeholders.
Research limitations/implications
More granularity in the different types of uncaptured value could be considered, and external supply chain stakeholders, such as the government, could be included, leading to more detailed value mapping.
Practical implications
This research provides practitioners with a value-mapping tool in circular clothing supply chains, thus providing a structured approach to explore, analyse and understand uncaptured value and value opportunities.
Originality/value
This extended value perspective draws upon the value-mapping approach from the sustainable business model literature and applies it in the context of the circular clothing supply chain. In doing so, this research illustrates circular clothing supply chains in a new way that facilitates an improved understanding of multi-dimensional and multi-stakeholder value for embedded actors.
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Family policy is an area where policy transfer has garnered a lot of attention lately. A growing body of research demonstrates policymakers' interest in and willingness to adopt…
Abstract
Purpose
Family policy is an area where policy transfer has garnered a lot of attention lately. A growing body of research demonstrates policymakers' interest in and willingness to adopt foreign family policies. However, previous studies have tended to neglect the second mechanism of policy transfer: resistance. This manuscript aims to address this research gap by exploring both the willingness and resistance to policy transfer in Czech and Korean childcare and leave policies.
Design/methodology/approach
This study employs a qualitative research design, incorporating structured expert interviews instrumental in in-depth thematic analysis.
Findings
The analysis shows that policymakers in both countries demonstrated interest and willingness to transfer family policies, albeit employing different strategies and to varying extents. Moreover, the two countries exhibited significant differences in resistance to family policy transfer, with resistance in the Czech Republic being more frequent and effective. Resistance is directed towards both forced and voluntary transfers, although it isn't always against transfers that require a paradigm change. Policy transfer and non-transfer can concurrently be perceived as threats.
Originality/value
The study concludes that integrating both policy transfer and resistance in the analyses helps to shed light on cross-national differences in family policy change and contributes to a more nuanced portrayal of the world of policy transfer in this policy field.
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Jian-Ren Hou and Sarawut Kankham
Fact-checking is a process of seeking and displaying facts to confirm or counter uncertain information, which reduces the spread of fake news. However, little is known about how…
Abstract
Purpose
Fact-checking is a process of seeking and displaying facts to confirm or counter uncertain information, which reduces the spread of fake news. However, little is known about how to promote fact-checking posts to online users on social media. Through uncertainty reduction theory and message framing, this first study examines the effect of fact-checking posts on social media with an avatar on online users' trust, attitudes, and behavioral intentions. The authors further investigate the congruency effects between promotional message framing (gain/loss/neutral) and facial expressions of the avatar (happy/angry/neutral) on online users' trust, attitudes, and behavioral intentions in the second study.
Design/methodology/approach
The authors conducted two studies and statistically analyzed 120 samples (study 1) and 519 samples (study 2) from Facebook users.
Findings
Results showed that including the neutral facial expression avatar in fact-checking posts leads to online users' greater trust and more positive attitudes. Furthermore, the congruency effects between loss message framing and the angry facial expression of the avatar can effectively promote online users' trust and attitudes as well as stronger intentions to follow and share.
Originality/value
This study offers theoretical implications for fact-checking studies, and practical implications for online fact-checkers to apply these findings to design effective fact-checking posts and spread the veracity of information on social media.
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Devesh Kumar, Gunjan Soni, Yigit Kazancoglu and Ajay Pal Singh Rathore
This research aims to update the literature about the importance of reliability in supply chain (SC) and to find out the SC determinants.
Abstract
Purpose
This research aims to update the literature about the importance of reliability in supply chain (SC) and to find out the SC determinants.
Design/methodology/approach
This research surveys while contributing to the academic grasp of supply chain reliability (SCR) concepts. The study found 45 peer-reviewed publications using a structured survey technique with a four-step filtering process. The filtering process includes data reduction processes such as an evaluation of abstract and conclusion. The filtered study focuses on SCR and its determinants.
Findings
One of the major findings is that most of the study has focused on mathematical and conceptual studies. Also, this study provides the answer to a question like how can reliability be better accepted and evolved within the SC after finding the determinants of SCR.
Originality/value
The observed methodological gap in understanding and development of SCR was identified and classified into three categories: mathematical, conceptual and empirical studies (case studies and survey’s mainly). This research will aid academics in developing and understanding the determinants of SCR.
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