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This study aims to attempt to put forward a nuanced conceptual framework to develop a better understanding of the relationship between job crafting and employees’ turnover intention, by bringing in “social exchange theory” perspective and proposing the mediating role of perceived organizational support (POS).

An extant review of literature was undertaken to identify and summarize the relevant findings on the topics of job crafting, POS and turnover intention, which further led to the development of hypotheses and the conceptual framework.

Results indicate that job crafting has a significant relationship with turnover intention with POS as an underpinning variable.

This study generates actionable insights and suggestions for the business leaders and practitioners, which can help them in handling the problem of rising employee turnover in today’s era marked by evolving attitudes and mindsets of the employees, along with the catalytic effects of pandemic and “Great Resignation”. Insights generated in this study for reducing dysfunctional employee turnover would have a stabilizing effect and lead society and business towards sustainable growth.

Insights generated in this study for reducing dysfunctional employee turnover would have a stabilizing effect and lead society and business towards sustainable growth.

This study is original in three ways. Firstly, the study introduces a unique perspective by putting forward a conceptual framework nestled in the social exchange theory. Secondly, to the best of the authors’ knowledge, it is the first study to examine the role of POS as a mediator in the association between job crafting and turnover intention. Thirdly, by proposing POS as an outcome of job crafting, this study suggests a reciprocal relationship between job crafting and POS.

The purpose of this paper is to highlight the use of big data through patentometric insights for R&D decision-making.

This study assesses the inventive activity through ‘big data’ patents, registered by inventors worldwide, using WIPO Patentscope database. The objective is to use the insights from patentometrics for R&D decision-making. The data from WIPO PatentScope (https://patentscope.wipo.int/search/en/search.jsf) was searched for current patent scenario in area of ‘big data’. The data was further organized and cleaned using the Google ‘OpenRefine’. Data was pre-processed to remove all null values. Cleaned data was analyzed using programming language ‘R’, MS Excel (charts and Pivot tables) and free data visualization tool called ‘Tableau Public’, to get insights for R&D decision-making.

The key insights included trends (patents with years of publication), top technologies trending the current space, top organizations leading in these technologies and the top inventors who are publishing patents in these technologies through leading organizations were drawn. Details in Section 5 in the paper.

Global patent data is multi-lingual and spreads across a set of multiple databases. Domain experts may be required to assess, identify and extract the relevant information for analysis and visualization of multi-lingual distributed data sets. Government organizations generally have multi-dimensional goals that may be more toward societal benefits. On the other hand, the commercial companies are more focused on profit. Therefore, the performance management process has to be really effective because it is critical for getting value in the government sector.

Insights from patent analytics serve as the important input to R&D managers as well as policymakers to assess the global needs to plan the national orientation according to the global market. This will help further for R&D projects prioritization, planning, budget allocations, human capital planning and other gamut of R&D management and decision-making.

Facilitation for R&D institutions (government as well as private) to formulate the research strategy for the domains or research areas to delve into. R&D decisions will be completely data-driven making them more accurate, reliable, valid and informed. These insights are very relevant for policymakers as well to facilitate the need assessment to determine the National priorities, make improvements in meeting societal country-level challenges during the resource allocation at top and subsequently at all other levels.

Data analytics of global patents in “big data” till 2019 to get insights to facilitate R&D decision-making.

This study aims towards developing a conceptual framework by systematically reviewing the available literature with reference to job crafting under the lens of an emerging economy from South Asia, i.e. India, which is the largest country and the largest economy in the South Asian region.

The study employs a hybrid methodology of a systematic literature review (SLR) and bibliometric analysis using VOSviewer and Biblioshiny. Bibliometric analysis provides glimpses into the current state of knowledge like-trend of publication, influential authors, collaboration with foreign authors, the major themes and studied topics on job crafting in India etc. Further, a detailed SLR of the selected articles led to the development of the conceptual framework consisting of the enablers and outcomes of job crafting.

It discusses implications for academia, business and society at large, and also provides valuable insights to policymakers and practitioners paving the way for better adoption, customization and implementation of job crafting initiatives.

Owing to its own unique social, cultural, and economic characteristics, the dynamics of job crafting in India may vary from other countries and regions which can also be reflective of how job crafting operates in South Asia in general. As job crafting was conceptualized and later evolved mostly in the western context, our study assumes greater significance as it is the first study which attempts to systematically review the job crafting literature to understand how job crafting manifests in the Indian context and presents a conceptual framework for the same.

This study aims to identify service quality dimensions for logistics service providers (LSPs) and to examine their relationships with customer satisfaction and customer loyalty.

Service quality dimensions are identified from vast literature review. Customers who take services from LSPs were surveyed to collect data on basis of developed survey instrument. Structural Equation Modelling (SEM) is applied to test the proposed research hypotheses.

The study shows that all the five service quality constructs, i.e. “Operational Quality”, “Resource Quality”, “Information Quality”, “Personnel Contact Quality” and “Customization and Innovation Quality” have direct relationship with customer satisfaction. They also have indirect relationship with customer loyalty, implying the full mediation of customer satisfaction.

The results of the study suggest that the logistics service quality (LSQ) can be measured multi-dimensionally. It provides clear implications to LSPs for improvement of service quality. The present research work is expected to be useful for both, logistics service providers and the customer organizations, which take services from LSPs. LSPs can develop strategies to improve their service quality on basis of findings from this study.

The present research will help in extending the existing literature on service quality in context to LSPs.

The purpose of this paper is to understand the customer attitude and perception towards the online brand communities (OBCs) and purchase intention (PI). The paper also analyses the moderating effects of age, income and internet usage on the relationship among the proposed variables.

The study employed a multi-analytical approach through the use of structural equation modelling and neural networks to test the proposed framework. The information was obtained from 236 respondents using a web-based questionnaire survey. Further, moderation analysis, with age, annual family income and weekly internet usage as moderating variables, was conducted on the structural model.

The results of the analysis demonstrate that the multi-group moderating effect for different groups within age, income and internet usage have significant differences for the relationships between the independent variables content perception, perceived usefulness, critical mass, brand attachment and attitude towards brand and the dependent variable, PI.

The study is one of its kind to understand and analyse the role of moderating variables (age, income and internet usage) on OBC-induced PI.

The growing use of internet-based learning (IBL) platforms in institutions of higher education is producing profound changes in the traditional teaching learning process worldwide. This paper aims to identify and understand the ways in which higher education institutions draw benefits by the use of such means, synthesizing the literature research.

The study synthesized the literature research by using a mixed method approach in which both Web of Science (WoS) and bibliographic techniques were used to retrieve the relevant data base.

The comprehensive review of the literature suggests that communication technology (CT), massive open online courseware (MOOCs), social networking sites (SNSs), blogs, real simple syndication (RSS) and YouTube are creating new possibilities and avenues of collaborative learning by transforming the traditional class and teacher-centric system.

Multiplicity of the IBL platforms and rapid technological obsolesce are some of the limitations of this paper.

The findings of this study are highly useful in developing a strategic framework to accelerate the integration of IBL platforms to make teaching learning process more interactive and informative.

Social networking sites (SNSs), especially Facebook, have made deep inroads in the teaching-learning process worldwide. The purpose of this paper is to understand the key factors which influence a students’ intention to use Facebook for academic usage.

A web-based questionnaire survey was administered among 218 students enrolled in higher education programme of universities/institutions in National Capital Territory of Delhi. The relationship among the proposed variable were tested through structural equation modelling and neural network (NN) approach. SEM is used to identify and validate the factors significant to influence the intention to use Facebook among students. To further find which of the factors are more influential, factors NN with tenfold cross-validation was used to identify the factors which are more influential among the ones proposed in this study.

The results suggested that the proposed framework has a good fit and the five relationships hypothesized were found to be significant; thus, establishing that the antecedent factors have a positive influence on the intention of users (student) to actively use Facebook as an academic medium for collaborative learning.

This study establishes that the antecedent factors identified in the course of this study have a positive influence on the intention to use Facebook for higher academics and collaborative learning by the students. This paper suggests and supports the adoption and usage of Facebook as a learning tool for higher academics.

The existing government processes are often not able to cope-up with the dynamic context of e-governance due to their rigid character as reflected in the dismal performance of e-governance projects. In this article, flexibility of the key processes and e-governance performance have been analyzed based on six agriculture related projects in India. The analysis has brought out implications for researchers, practitioners and society.

Based on a review of literature, new constructs have been proposed and hypothesis formulated to study flexibility of processes and performance of e-governance. The empirical part of the study involves an opinion survey of officers involved in planning of the identified projects. The proposed constructs have been validated based on reliability and confirmatory factor analysis and used further for statistical analysis and interpretation.

The research has revealed that “flexibility of processes” is a predictor of “performance of e-governance”. The analysis has further reflected the need for reengineering of conventional processes by embedding “change mechanisms” in processes for improving e-governance performance.

The findings of this article are expected to sensitize the government officials and other actors involved in the planning and implementation of e-governance projects to analyse the underlying processes from the perspective of flexibility and take measures for transforming the conventional rigid processes into versatile and adaptive processes by introducing change mechanisms. Such redesigned processes are expected to lead to better performance of e-governance initiatives.

This paper attempts to address the gap with respect to the lack of measures for analysing the relationship between flexibility of processes and performance of e-governance projects. The article opens the door for further research in terms of defining additional constructs such as “changing situation” and “competence level of actors” and exploring their predictive relationships with “performance of e-governance”. The context-specific interpretations of validated linkages influencing performance shall provide the base for arriving at an empirically founded synthesized strategic framework for improving the performance of e-governance projects.

Most of the existing studies in e-governance context have attempted to measure public value of projects in terms of quality of services provided, cost effectiveness of public organizations and extent to which public organizations are able to meet their social objectives. However, it is also important to explore variables influencing public value to pursue for attaining high public value from such projects. This paper aims to attempt to explore such variables based on Situation-Actor-Process (S-A-P) framework. In India, physical presence of citizens is still required at many public centers established for delivering a variety of government services. A citizen at the time of his visit to a public service center faces a situation, deals with different actors and is subjected to a set of processes. At the end of the service cycle, the citizen develops a perception about public value of the e-governance project. The paper aims at exploring the likely influence of “Improved Situation”, “Capability Level of Actors” and “Flexible Process Workflow” on “Public Value” of e-governance projects.

On the basis of a review of literature, variables likely to be influencing public value have been identified in terms of situation, actors and processes. A questionnaire was designed, and a survey conducted to measure public value and S-A-P-related variables in the context of two e-governance projects, namely, Passport Seva Project and Driving License Project in India. Survey data have been analyzed to study the influence of S-A-P-related variables on the public value of e-governance projects. Learning issues have been synthesized in terms of implications for practitioners as well as researchers for enhancing public value of e-governance projects.

The study has revealed that a citizen-centric e-governance project with observed high value of conceptualized S-A-P variables is expected to be characterized by high public value. The analysis has also reflected upon a need for an in-depth study to explore empirically validated linkages between S-A-P variables and public value of e-governance projects.

The paper is based on a pilot study in the context of two citizen-centric e-governance projects. It is required to study more such projects for the purpose of validating the proposed framework and arriving at generalized findings.

The study results are expected to sensitize practitioners to keep in view conceptualized variables related to situation, actors and processes while planning for citizen-centric e-governance projects. This may result in improved situation at the public service centers, better performance of employees and more flexible processes which may further help to increase the public value of such projects.

E-governance projects can perform a vital role in improving public value. In the context of India, a key objective of e-governance projects is to improve the service delivery of citizen-centric projects. The findings of the pilot study, based on the select two citizen-centric e-governance projects in India, reflect upon the likely relationship between public value and S-A-P variables. Thrust on improving situational aspects, as conceptualized in this study, is expected to improve comfort level of citizens while taking benefit of IT enabled services of government organizations. Better capability of actors at public organizations is likely to build trust and confidence among citizens toward these services. Adoption of flexible processes by public organizations is expected to ensure seamless delivery of services to citizens through alternate options. Enhanced delivery of services satisfies the need for improved public value and create positive attitude among society toward public organizations. It contributes to satisfaction level of citizens in terms of saving of time, money and efforts.

A review of literature has revealed a few studies undertaken in recent past with focus on measurement of public value in e-governance context. This paper is based on a novel idea of exploring the likely relationship between conceptualized S-A-P-related variables and public value of citizen-centric e-governance projects. Recommendations based on learning issues are expected to trigger suitable interventions to generate high public value from such projects.