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The paper develops a model for enhancing R&D productivity for Indian public funded laboratories. The paper utilizes the productivity data of five Council of Scientific and Industrial Research (CSIR) laboratories for analysis and to form the constructs of the model.

The weighted average method was employed for analyzing the rankings of survey respondents pertaining to the significant measures enhancing R&D involvement of researchers and significant non-R&D jobs. The authors have proposed a model of productivity. Various individual, organizational and environmental constructs related to the researchers working in the CSIR laboratories have been outlined that can enhance R&D productivity of researchers in Indian R&D laboratories. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to find the predictability of the productivity model.

The organizational factors have a crucial role in enhancing the R&D outputs of CSIR laboratories. The R&D productivity of researchers can be improved through implementing the constructs of the proposed model of productivity.

The R&D productivity model can be adapted by the R&D laboratories to enhance researchers’ R&D involvement, increased R&D outputs and achieving self-sustenance in long run.

The R&D laboratories can initiate exercises to explore the most relevant factors and measures to enhance R&D productivity of their researchers. The constructs of the model can function as a guideline to introduce the most preferable research policies in the laboratory for overall mutual growth of laboratory and the researchers.

Hardly any studies have been found that have focused on finding the measures of enhancing R&D involvement of researchers and the influence of significant time-intensive jobs on researchers’ productivity.

Council of Scientific and Industrial Research (CSIR)–National Metallurgical Laboratory (CSIR–NML) has launched a number of initiatives in different perspectives of e-Government. The “Mandays-Involvement” website was implemented by the laboratory in Government-to-Employee (G2E) perspective i.e. facilitating its research and development (R&D) manpower by providing data with respect to their own performance parameters through a single window. The development and implementation of the website had two major objectives : (1) to provide a system to the researchers for tracking and improving their own performance with respect to mandays and external cash flow generation and (2) to equip the management with a tool to enhance the organizational performance and enable optimum employee utilization.

Software Development Life Cycle approach was followed for the web-based system development and iterative model was used. Open source web development tools i.e. Php, My-Sql and CSS were used for the system development.

The new system helped in detailed profiling of current and future assignment of the researchers so as to have a check over preference-based allocation of work and providing equal opportunities of work to all.

The percentage average mandays utilization was stabilized after the implementation of the website. The percentage under and over engagements of researchers in R&D projects was controlled and reduced.

The system outputs are utilized for R&D Team formation, Project approvals and Annual Performance Evaluations.

This new information system acts as a decision support system that helps the management to align its organizational policies toward the Future Research Projects and R&D manpower.

This paper intends to explore the measure for aligning the goals of researchers toward achieving organizational R&D targets. The paper also explores the significance and ordering of R&D outputs and the factors that influence generation of R&D outputs, from the perspective of researchers working in the Indian public sector organizations.

Data were collected in five Indian R&D laboratories, and weighted average method Spearman correlation coefficient and rank regression were utilized for the analysis.

The findings indicated that various groups of researchers prefer to target different R&D outputs and not all the factors are considered as equally significant in influencing the generation of R&D outputs. Further, the R&D organization should include preferred real factors while policy making for achieving collaborative efforts toward fulfilling organizational objectives. The set of selected R&D outputs and influencing factors were also ordered according to the average rankings given by the researchers.

The findings can help R&D managers to identify the expectations of the researchers and include their preferences in R&D Planning. The study could be extended to a larger dataset of researchers working in other government as well as private R&D organizations.

Hardly any studies were found that explored the preferences of researchers with respect to R&D outputs and influencing factors with respect to the Indian public sector R&D laboratories.

The effect of global integration of businesses and interchange of ideas and technology through internet has many facets. Increase in economic recessions and decrease in research funding has forced both private and public sector research organizations to introduce measures of self-sustainability. Enhancing research and development (R&D) productivity of researchers can be one of those measures. The purpose of this paper is to attempt toward identifying and analyzing those factors of productivity that may be related to the manpower in R&D.

Based upon the theoretical background and the nature of data available, this empirical study has been carried out as a case study for a public sector research laboratory. The extent of involvement in research projects have been analyzed with respect to the R&D outputs generated by the researchers, which if found to be positively related, may be focussed upon, for increasing productivity of manpower in R&D. Several other determinants of R&D productivity were identified from the literature review and were analyzed in association with the “involvement.” “Robust Regression” technique was used for the statistical analysis.

It was found that the R&D productivity of researchers has a positive correlation with their extent of involvement in the R&D projects.

The result may help in creation of the policies for enhancing organizational self-sustainability.

Several prior studies have been conducted with different determinants of R&D productivity but hardly any studies were found considering “extent of manpower involvement in research projects.” This study can be useful for public sector research organizations to relate the findings with their endeavors of enhancing R&D productivity.

The present study had two objectives, first objective was to examine the impact of authentic leadership on followers' well-being and work engagement. The second objective was to examine the moderating role of authentic leadership and followers' outcomes. Despite an immense amount of research on authentic leadership, how and when authentic leadership is more or less effective in promoting the well-being and work engagement of followers is little known. Drawing from the conservation of resource theory, the authors draw upon the interactionist perspective and suggest psychological capital is a dispositional boundary condition that influences the effectiveness of authentic leadership in promoting well-being and work engagement of followers.

Using cross-sectional research design data were collected from 547 team members nested under 118 team leaders from the financial sector in India. The study used structural equation modelling and hierarchical regression analysis to examine the hypothesised relationships.

The findings from the study revealed that authentic leadership predicts followers' psychological well-being and work engagement. Also as proposed, the study found psychological capital moderates the relationship between authentic leadership and the well-being of followers. However, the study found psychological capital does not moderate the relationship between authentic leadership and followers' work engagement.

The study has helped expand the nomological network of authentic leadership by examining the authentic leadership model with followers' psychological well-being and work engagement. Further, the findings suggest that psychological capital being a dispositional boundary condition, it plays a contingent role in explaining the role of authentic leadership in promoting the well-being of followers.

The results offer strong practical implications that can be considered as the basis for actionable strategies by the human resource management system of the organisation to enhance authentic leadership and psychological capital.

The study is unique in its scope and contribution, as it tries to develop an understanding of how and when authentic leadership promotes psychological well-being and work engagement by considering an interactionist approach in the Indian context.

The article investigates the wealth generation from takeover bids through an event study, analyzing the impact of announcements on stock returns of target and bidder firms across the industries and related and unrelated industry acquisitions. It aims to provide insights into financial implications for shareholders and market participants, contributing to understanding merger dynamics and informing investment decisions.

The methodology involves data collection of announcement dates, defining event and estimation windows. Market models and four-factor models are applied to compute abnormal returns. Linear regression estimates return, which is aggregated and tested for significance, providing insights into the wealth effects of takeover announcements.

Analysis reveals positive returns for both firms' shareholders on the announcement day, particularly significant for target firms. Pre-announcement, positive abnormal returns suggest potential information leakage, but reverse post announcement. Comparative model analysis emphasizes the role of systematic risk. Notably, a prolonged bidding process benefits the target firm. Trading in target company stocks under unrelated industry acquisitions appears to be more beneficial during the bidding.

This article introduces a novel approach by utilizing a four-factor model for computing abnormal returns, unlike previous research relying solely on the market model. It also focuses separately on related and unrelated industry acquisitions. This methodology captures comprehensive systematic risk, resulting in more conservative and robust abnormal returns. This methodological advancement addresses existing gaps in the literature and provides actionable insights for stakeholders in mergers and acquisitions.