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The purpose of this paper is to identify the entrepreneurial intention (EI) among nascent entrepreneurs in the Indian context by using Shapero’s theory of entrepreneurial event as the research framework.

A 34-item questionnaire was responded to 250 nascent entrepreneurs who are engaged in executing the new business idea or creating new ventures and enroled in the universities in India. The questions measured perceived desirability, perceived feasibility, entrepreneurial educational background, entrepreneurial self-efficacy, perceived social pressure and previous work experience in entrepreneurial activities towards entrepreneurship intention. The data were collected by employing a systematic random sampling method. The sample represents 174 male and 76 female nascent entrepreneurs belonging to various disciplines. Structural equation modelling has been used for data analysis.

The results show that the proposed model in the present study explains 51 per cent of the variance, explaining the entrepreneurship intention. Entrepreneurial self-efficacy was found to be the strongest predictor of EI (β=0.397 at p<0.001) followed by previous experience in entrepreneurial activities (β=0.285 at p<0.001).

More than limitation this research study adds to the existing literature of the EI by using a different set of the sample. Mostly EI studies used student sample to measure intentions. Kolvereid and Isaksen used a sample of entrepreneurs to measure EI and achieved very different results. Therefore, this research study extends the work of Kolvereid and Isaksen by using a sample of nascent social entrepreneurs.

The finding of this research study will facilitate policy makers and educators to promote entrepreneurial activities at the university level. Based on the results and findings of the study, the educators may improve upon the support system to help and motivate students to opt for social entrepreneurship as their career choice.

Ajzen (1988) emphasised that the relative significance of the antecedents of intention will vary depending on which stage of intention is under scrutiny. This is one of its kinds of research study that used a sample of nascent entrepreneurs in the Indian context. Findings of this research will be helpful in predicting how the intention process of nascent entrepreneurs works especially in developing countries.

The purpose of this paper is to identify the role of cognitive styles (CgStys) and self-efficacy (SEff) in the formation of social entrepreneurial intentions (SEIs) among the students of a premier multi-campus technical university in India using the theory of planned behaviour as the research framework.

A 54-item questionnaire was responded by 550 students. The data were collected by employing a systematic random sampling method. In the total sample of the respondents, 67 per cent (n=368) were male and 33 per cent (n=182) were female and the average age of the respondents was 20 years. Structural equation modelling has been used for data analysis.

The results of the study support that the relationship between antecedents (CgStys and SEff) and SEIs was mediated by the attitude towards becoming a social entrepreneur, subjective norms and perceived behavioural control. Findings of this research study also suggest that students with high level of SEff are more inclined towards social entrepreneurial activities.

The study was confined to the students from a technical university, and it may not give the generalized findings for students from the non-technical stream.

The finding of this research study will facilitate policy makers and educators for promoting social entrepreneurial activities at the university level. Based on the results and findings of the study, the educators may improve upon the support system to help and motivate students to opt social entrepreneurship as their career choice.

This is one of its kinds of research conducted in the Indian context. Findings of this research will be helpful in predicting how the intention process of Indian students is affected by their CgStys and SEff.

Individuals often look up to external influencers (leaders) that determine their conduct and form their perception regarding organizational policies and practices which constitute their organizational climate. The importance of organizational climate has been realized off late in various job outcomes among doctors, such as commitment, turnover, etc. Therefore this study aims to investigate the relationship of ethical leadership with organizational climate that may further affect the commitment of doctors in Indian hospitals.

An empirical study has been done in 10 public and private Indian hospitals using a questionnaire survey. Data were collected from a sample of 537 doctors, which were further analyzed statistically using structural equation modeling (SEM) through AMOS and SPSS software.

The results show a significant influence of ethical leadership on organizational climate and organizational climate further has significant relationship with commitment of doctors in Indian hospitals.

The study has important implication for hospital administration, to identify and place an ethical leadership team at the top, which will further influence the behavior of the followers (doctors). This will further lead to formation of favorable organizational climate fostering commitment in doctors.

This is one of the few studies that determines the relationship of ethical leadership with organizational climate and it's further influence on commitment of doctors in large (500 beds and above) public and private hospitals in Indian context.

National policy makers in India have realized that the research and development (R&D) performance of India has not been up to the benchmark. This paper aims to identify and develop the structural cause and effect relationship among various factors that affect the performance of national R&D organizations in India.

A questionnaire‐based survey, interpretive structural modelling and structural equation modelling, has been applied in this paper. In this paper, ten factors have been identified such as clear R&D vision and strategic directions; top management commitment (TMC); customer focus and market orientation; organization culture, etc.

Clear R&D vision and strategic directions are the major drivers for the performance of national R&D organizations. Statistically, TMC; organization culture and human resource focus; R&D project management skills; and customer focus and market orientation have emerged as the critical factors for improving performance of national R&D organizations in India.

This model can be validated for various other national R&D organizations in India as well as in other countries.

This model provides a comprehensive structural cause and effect relationship among various success factors to the policy makers and provides the direction to for designing and implementing appropriate policies in order to enhance the performance of national R&D organizations.

The paper not only provided a cause and effect relationship among various factors, but also a magnitude of relationship.

The purpose of this paper is to evaluate and compare the performance of national R&D organizations in India in terms of their relative efficiencies using a multiple output measurement criteria incorporating the quality of the output measures.

An integrated data envelopment analysis (DEA) and analytic hierarchy process (AHP) has been used.

The relative efficiency for national R&D organizations is obtained not only based on quantity of output, but also on the basis of quality of the output and provides more comprehensive and realistic results to the decision makers in identifying the benchmark national R&D organizations and inefficient organizations.

Owing to difficulty in approaching all the departments, the application of the model is limited to a small group of Indian national R&D organizations. This model can be extended for various departments/agencies heading various national R&D organizations in India as well as in other countries according to their requirement and suitability.

This model provides a more comprehensive method to the policy makers for evaluating the performance of national R&D organizations in terms of their relative efficiencies also incorporating the quality of the output measures. The results provide the indicators to the policy makers for redesigning the R&D processes in the inefficient national R&D organizations.

In the context of R&D, an integrated DEA‐AHP model is applied for the first time to evaluate the performance of national R&D organizations in terms of their relative efficiency obtained not only on the quantity of the output taken, but also on the quality of the output.

Deriving a measure of efficiency of public-funded organizations (primarily not-for-profit organizations) and ranking these efficiency measures have been major subjects of debate and discussion. The purpose of this paper is to evaluate the relative performances of public-funded research and development (R&D) organizations functioning across multiple countries working on similar research streams. The authors use multiple measures of inputs and outputs for this purpose.

The authors use the data envelopment analysis (DEA) as the primary methodology of analysis The keywords highlighting the major research areas in the field of non-metrology, conducted by National Physical Laboratory (NPL), India, were utilized to select the global comparators working on similar research streams. These global comparators were three R&D organizations located in the USA and one each located in Germany and Japan. The relative efficiencies of the organizations were assessed with the following output variables – external cash flow, and the numbers of technologies transferred, publications and patents; and the following input variables – amount of grants received from the parent body, and the number of scientific personnel working in these public R&D organizations. The authors follow the output-oriented measure of efficiency at constant return to scale and variable return to scale, along with scale efficiencies.

The performance of NPL, India under multiple dimensions has been evaluated relative to its global comparators – the National Institute for Materials Science, Japan; the National Renewable Energy Laboratory, USA; Fritz Haber Institute of the Max Planck Society, Germany; the National Centre for Atmospheric Research, USA; and the Oak Ridge National Laboratory, USA. The study indicates suggested measures and a set of targets to achieve the best possible performance for NPL and other R&D organizations. In most cases of efficient local but not so efficient global efficiency scores indicate that, on an average, the actual scale of production has diverged from the most productive scale size.

The approach highlights the utilization of the DEA methodology for relative R&D performance assessment of global comparators. The discriminatory analysis has brought into sharp focus the dichotomy between local efficiency and global efficiency scores of these units and issues of scale size and regional disparities. The outcome of this approach is dependent upon correct selection of input and output variables and data availability.

The study results have profound implications for the management of public R&D institutions across nations working on similar-focused research streams, but functioning within different societal, economic, and political contexts.

The present work, being perhaps one of the few multinational studies of relative performance assessment of pubic-funded R&D organizations working on similar research streams, signifies the relevance of such an approach in the field of R&D/innovation management. This has opened up new avenues for further research in this area.