Search results

The purpose of this study is to examine the continuance intentions of working professionals to pursue e-learning courses as a path for career advancement. The primary objective of this study is to ascertain the predictors of continued intentions of working professionals to pursue e-learning courses and examine if this is a trend in career development.

Perceived usefulness of e-learning, motivation and satisfaction are independent variables which are examined using a regression model as potential determinants of continued intentions to use various e-learning platforms. Data from 240 working professionals in different sectors was collected. In addition, satisfaction, motivation and perceived usefulness among the male and female respondents are compared using ANOVA.

The findings showed that motivation, satisfaction and perceived usefulness of e-learning are significant predictors and have a strong influence on the continued intentions of working professionals to pursue e-learning courses. In addition, the results showed that motivation levels while pursuing e-learning and satisfaction derived from them were higher for female professionals.

This study identifies the antecedents of the continued intentions of working professionals to pursue e-learning courses on the path of career advancement. The outcome of the study can be used by educators and e-content creators to make e-learning more engaging. Corporates can also use the results of this study to identify initiatives that can encourage the pursuit of e-learning.

This study provides an important insight exploring the antecedents of continued intentions of working professionals to pursue e-learning courses as a path of career advancement. The research contributes significantly to the understanding thought process of working professionals towards their careers.

The use of information and communication technology (ICT) has been improving in education and constantly evolving; however, the recent pandemic has catapulted it. Digital transformation of academia through online teaching demands new pedagogies to be adopted by faculty members. Academia embraces technological advancements in teaching-learning to ensure growth, development and sustainability. This paper aims to gain insights regarding the current status of literature, critical contributing authors, countries, areas, overall trends and future direction for research.

The bibliometric data was collected from two of the most widely referred databases: Scopus and Web of Science(WoS); tools like vosViewer and map builder were used for analysis. Short empirical evidence is added to the study to understand faculty members' current adoption of new pedagogical approaches in some prominent higher educational institutions.

Because of the corona pandemic, there is substantial digital transformation in the teaching-learning process. Therefore, it is essential to comprehend what faculty members can adopt critical pedagogies. Understanding the importance of pedagogy in learning outcomes, this study has attempted to synthesize available literature on ICT, pedagogy and higher education in the 21st century.

The study outlined flipped and blended learning as two teaching methods developed due to ICT integration in the classroom. Bibliometric insights from the study build the groundwork for academic advancement to remote online education. This is an attempt to corroborate such insights.

This research aims to determine the impact of green business (GB) on the perceived wealth of small and medium-scale enterprises (PWSMEs). The study also analyses the mediating role of a green attitude in this relationship.

A questionnaire based on a comprehensive literature study was used to develop a scale for measuring GB parameters. A survey involving 400 small and medium enterprise (SME) owners and managers across India was conducted. Regression analysis is used to determine the impact of GB on PWSMEs, and mediation analysis is used to explore the role of green attitude in this relationship.

The study reveals that GB components such as intent, processes, measurement, communication and capacity building have a positive impact on perceived wealth and green attitude. The association between perceived wealth and GB aspects is moderated by a green attitude, with the indirect effect being more significant than the direct effect.

To improve customers' green attitudes toward buying goods and services, small and medium enterprises (SMEs) should develop a technique to implement GB aspects into their overall strategy. This will undoubtedly improve the performance of SMEs.

This study adds to the body of knowledge on GB by emphasizing the benefits that SMEs can get from implementing GB practices, thereby improving their performance in markets such as India.

The purpose of the study is to analyze a sample of 528 published papers over the past 11 years by conducting a bibliometric analysis. The study also aims to provide a consolidated overview of the existing literature on “gaming addiction” and presents the status of research with future directions for researchers who wish to explore and contribute to this rapidly evolving field. The descriptive statistics have been conducted through citation and co-citation analysis.

For the bibliometric analysis, the documents were retrieved from the Scopus database with the help of the Scopus analyzer while the VOS viewer1.6.16 software was used to analyze citations, co-authorship, etc. The literature search strategy was applied across various databases and the articles published between 2010 and December 2021 giving a total of 1,219 articles across all disciplines. Finally, 528 articles were shortlisted through the query restricted to subject areas, namely, business management, psychology, social science and multidisciplinary areas.

IGA has also been recognized by the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, as one of the disorders; hence, this certainly calls for focussed efforts to understand the same and control further damage. The number of articles devoted to the study of “gaming addiction” has increased rapidly in recent years. Moreover, this study identifies some of the most influential articles in this area. Finally, this paper highlights the new trends and discusses the future research associated with gaming addiction.

This study focusses on gaming addiction and its trends, related to researchers and country-wise contributions. This is one of the few studies to review the literature on gaming addiction by using citation and co-citation analysis. The main findings of this paper will help academicians and practitioners to improve the body of knowledge on the topic and provide an overview of promising future research avenues.

Internet gaming is a newly emerging area and studies related to gaming addiction are very recent. To the best of the authors’ knowledge, this study is a unique and comprehensive overview of the leading works done in this area.

This study examines students’ perspectives towards the utilization of information and communication technology (ICT), during this sudden shift to remote online education due to COVID-19 worldwide pandemic. The aim is to identify the predictors of learning outcomes and understand if they are here to exist as the new normal.

The independent variable motivation, managing emotion, and acceptability of ICT, are examined as potential determinants of perceived learning outcomes in remote online education. An aggregate of 220 responses from the students of management graduates in higher education were collected to examine the predictors of learning outcomes using regression model in SPSS software. In addition, ANOVA technique was used to compare and assess managing emotion, motivation, and ICT acceptability of male and female students in remote online education.

Results indicate that motivation, managing emotion and acceptability of ICT are significant predictors, which affect students’ perceived learning outcomes. Furthermore, the study reveals that managing emotions and motivation levels of female students are higher than male students in remote online education.

Research identifies the antecedents of student learning outcomes in management education. These finding may be useful for educators and management to understand the factors influencing students' learning outcomes and to develop various modules to make remote online learning effective.

This research contributes significantly in investigating the antecedents of students learning outcome and provide insights regarding student’s perspective towards sudden shift to remote online education due to COVID-19 worldwide pandemic.

Over the years, the fruit and vegetable supply chain has encountered several challenges. From the harvesting stage until it reaches the consumer, a significant portion of fruits and vegetables gets wasted in the supply chain. As a result, the present study attempts to identify and analyze the growth barriers in the fresh produce supply chain (FPSC) in the Indian context.

An integrated grey theory and DEMATEL based approach is used to analyze growth barriers in the FPSC. The growth barriers were analyzed and sorted based on their influence and importance relations.

The results emphasize that the most critical growth barriers in the FPSC that should be addressed to ensure food waste reduction are as follows: Lack of cold chain facilities (B2), lack of transportation or logistic facilities (B1), lack of collaboration and information sharing between supply chain partners (B3), lack of proper quality and safety protocols (B15), a lack of processing and packaging facilities (B14), and poor productivity and efficiency (B13). Results are also verified by conducting a sensitivity analysis.

The results are highly useful for policymakers to exploit growth barriers within the FPSC that require more attention. The obtained results show that the managers and policymakers need to utilize more funds to develop the cold chain facilities and logistics facilities to develop the FPSC. By improving the cold chain facilities, it is possible to improve the quality of food, make the food safe for human consumption, reduce waste, and increase the efficiency and productivity of the supply chain. Also, this study may encourage policymakers and industrial managers to adopt the most influential SCM practices for food waste reduction.

Many researchers have attempted to analyze the causes of food waste and growth barriers in the FPSC using various decision-making methods. Still, no attempts are made to explore the causal relations among various growth barriers in FPSC through the integrated Grey-DEMATEL technique. Also, we devise policy implications in the light of the new farm bills or the Indian agricultural acts of 2020. Lack of cold chain facilities (B2) was found to be the critical driving barrier in the FPSC, as it influences multiple barriers. Also, there is a dire need for cold chain facilities and transportation systems to enhance productivity and efficiency.

Blockchain technology (BCT) can play a vital role in manufacturing industries by providing visibility and real-time transparency. With BCT adoption, manufacturers can achieve higher productivity, better quality, flexibility and cost-effectiveness. The current study aims to prioritize the performance metrics and ranking of enablers that may influence the adoption of BCT in manufacturing industries through a hybrid framework.

Through an extensive literature review, 4 major criteria with 26 enablers were identified. Pythagorean fuzzy analytical hierarchy process (AHP) method was used to compute the weights of the enablers and the Pythagorean fuzzy combined compromise solution (Co-Co-So) method was used to prioritize the 17-performance metrics. Sensitivity analysis was then carried out to check the robustness of the developed framework.

According to the results, data security enablers were the most significant among the major criteria, followed by technology-oriented enablers, sustainability and human resources and quality-related enablers. Further, the ranking of performance metrics shows that data hacking complaints per year, data storage capacity and number of advanced technologies available for BCT are the top three important performance metrics. Framework robustness was confirmed by sensitivity analysis.

The developed framework will contribute to understanding and simplifying the BCT implementation process in manufacturing industries to a significant level. Practitioners and managers may use the developed framework to facilitate BCT adoption and evaluate the performance of the manufacturing system.

This study can be considered as the first attempt to the best of the author’s knowledge as no such hybrid framework combining enablers and performance indicators was developed earlier.

The study presents various barriers to adopt big data analytics (BDA) for sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) pandemics. In this study, 17 barriers are identified through extensive literature review and experts’ opinions for investing in BDA implementation. A questionnaire-based survey is conducted to collect responses from experts. The identified barriers are grouped into three categories with the help of factor analysis. These are organizational barriers, data management barriers and human barriers. For the quantification of barriers, the graph theory matrix approach (GTMA) is applied.

The study presents various barriers to adopt BDA for the SMOs post-COVID-19 pandemic. In this study, 17 barriers are identified through extensive literature review and experts’ opinions for investing in BDA implementation. A questionnaire-based survey is conducted to collect responses from experts. The identified barriers are grouped into three categories with the help of factor analysis. These are organizational barriers, data management barriers and human barriers. For the quantification of barriers, the GTMA is applied.

The study identifies barriers to investment in BDA implementation. It categorizes the barriers based on factor analysis and computes the intensity for each category of a barrier for BDA investment for SMOs. It is observed that the organizational barriers have the highest intensity whereas the human barriers have the smallest intensity.

This study may help organizations to take strategic decisions for investing in BDA applications for achieving one of the sustainable development goals. Organizations should prioritize their efforts first to counter the barriers under the category of organizational barriers followed by barriers in data management and human barriers.

The novelty of this paper is that barriers to BDA investment for SMOs in the context of Indian manufacturing organizations have been analyzed. The findings of the study will assist the professionals and practitioners in formulating policies based on the actual nature and intensity of the barriers.

The purpose of this paper is to identify and model the evaluation criteria for the selection of third-party logistics service provider (3PLSP) by an interpretive structural modelling (ISM) approach in the pharmaceutical sector.

Delphi technique was used for identifying the most significant criteria, and the ISM method was employed for developing the interrelationship among the criteria. Also, the critical criteria for having high influential power were identified by using the Matrice d’Impacts Croisés Multiplication Appliqués à un Classement analysis.

The most significant factors, namely, capability of robust supply network/distribution network, quality certification and health safety, service quality and environmental quality certifications, were found to have a high driving power, and these factors demand the maximum attention of the decision makers.

As the ISM approach is a qualitative tool, the expert opinions were used for developing the structural model, and the judgments of the experts could be biased influencing the reliability of the model. The developed hierarchical concept is proposed to help the executives, decision and policy makers in formulating the strategies and the evaluation of sustainable 3PLSP.

It is an original research highlighting the association between the sustainable 3PLSP evaluation criteria by employing ISM tool in the pharmaceutical industry. This paper will guide the managers in understanding the importance of the evaluation criteria for the efficient selection of 3PLSP.

The study explores the potential barriers to data science (DS) implementation in organizations and identifies the key barriers. The identified barriers were explored for their interconnectedness and characteristics. This study aims to help organizations formulate apt DS strategies by providing a close-to-reality DS implementation framework of barriers, in conjunction with extant literature and practitioners' viewpoints.

The authors synthesized 100 distinct barriers through systematic literature review (SLR) under the individual, organizational and governmental taxonomies. In discussions with 48 industry experts through semi-structured interviews, 14 key barriers were identified. The selected barriers were explored for their pair-wise relationships using interpretive structural modeling (ISM) and fuzzy Matriced’ Impacts Croise's Multiplication Appliquée a UN Classement (MICMAC) analyses in formulating the hierarchical framework.

The lack of awareness and data-related challenges are identified as the most prominent barriers, followed by non-alignment with organizational strategy, lack of competency with vendors and premature governmental arrangements, and classified as independent variables. The non-commitment of top-management team (TMT), significant investment costs, lack of swiftness in change management and a low tolerance for complexity and initial failures are recognized as the linkage variables. Employee reluctance, mid-level managerial resistance, a dearth of adequate skills and knowledge and working in silos depend on the rest of the identified barriers. The perceived threat to society is classified as the autonomous variable.

The study augments theoretical understanding from the literature with the practical viewpoints of industry experts in enhancing the knowledge of the DS ecosystem. The research offers organizations a generic framework to combat hindrances to DS initiatives strategically.