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Despite the susceptibility of cotton crops to pest attacks in the Malwa Region of Indian Punjab, no crop insurance policy has been implemented there– not even the Pradhan Mantri Fasal Bima Yojana (PMFBY), which is a central scheme. Therefore, this paper attempts to gauge the likely impact of the PMFBY on Punjab cotton farmers and assess the changes needed for greater uptake and effectiveness of PMFBY.

The authors have conducted a primary survey to conduct this study. Initially, the authors compared the costs of cotton production with the returns in two scenarios (with and without insurance). Additionally, the authors have applied a logistic regression framework to examine the determinants of the willingness of farmers to participate in the crop insurance market.

The study finds that net returns of cotton crops are conventionally small and insufficient to cope with damages from crop failure. Yet, PMFBY will require some modifications in the premium rate and the level of indemnity for its greater uptake among Punjab cotton farmers. Additionally, using the logistic regression framework, the authors find that an increase in awareness about crop insurance and farmers' perceptions about their crop failure in the near future reduces the willingness of the farmers to participate in the crop insurance markets.

The present study looks for the viability of PMFBY in Indian Punjab for the cotton crop, which can also be extended to other crops.

Punjab could also use crop insurance to encourage diversification in agriculture. There is a need for special packages for diversified crops under any crop insurance policy. Crops susceptible to volatility due to climate-related factors should be identified and provided with a special insurance package.

There exist very scant studies that have discussed the viability of a central crop insurance scheme in the agricultural-rich state of India, i.e. Punjab. Moreover, they do not also focus on crop losses accruing due to pest and insect attacks.

This study aims to analyze the effect of organizational context on Entrepreneurial Orientation–Business Performance (EO–BP) relationship by drawing a sample from India.

This firm-level study uses a cross-sectional research design. A personal survey of key informants, one each from 500 North Indian firms, has been conducted. The hypotheses were analyzed using confirmatory factor analysis (CFA), structural equation modeling and multi-group moderation analysis.

This study reveals the relevance of organizational context in strategic decision-making. This study finds that the firm’s size and nature of industry influence the inclination of an enterprise toward innovativeness and proactiveness. The results indicate that both, new entrants and older firms, can adopt entrepreneurial posture.

This study attempts to provide a unique perspective of entrepreneurship research by assessing the effect of organizational context on the EO–BP relationship in the Indian context. This study applies five-dimensional conceptualization of EO to EO–BP relationship and attempts to contribute to the literature by refining the inventory of five-dimensional conceptualization of EO construct. The CFA model of multifaceted subjective measurement of BP construct lends support to the integrated approach of BP measurement.

The aim of this paper is to provide a unique perspective on entrepreneurship by examining how different ways of understanding entrepreneurial orientation (EO) affect business performance (BP). The study uses a five-dimensional approach to understand EO’s relationship with BP.

A personal survey of key informants (who have decision-making power in their firm), one each from 550 North Indian firms has been conducted. The hypotheses were tested using confirmatory factor analysis and structural equation modeling.

The results indicate that both uni-dimensional and multi-dimensional conceptualizations of EO are equally valid and have a significant impact on BP. The study highlights the contextual nature of the relationship between EO and BP.

This study supports a comprehensive five-dimensional approach to EO, benefiting researchers and management practitioners. It validates an integrated measurement of BP and advances entrepreneurship theories, enabling broader generalizations for improved decision-making and strategy development.

The study is relevant for researchers and management practitioners. This study supports the five-dimensional conceptualization of EO and reveals the relevance of both uni-dimensional and multi-dimensional conceptualizations of EO. The study also lends support to the integrated approach of BP measurement. The results may also help to generalize entrepreneurship theories.

The objective of this research is to identify and prioritize the critical factors that influence the adoption of blockchain technology within the banking sector.

A well-known theoretical framework, the “Technology Organization Environment (TOE),” was chosen to analyze what criteria and sub-criteria affect blockchain adoption in the banking sector after a thorough assessment of the prior literature. Following that, 3 evaluation criteria and 14 sub-criteria were selected and verified using expert opinion. A survey design was created, and data for the study has been collected from various information technology (IT) managers/officers in the banking sector. A fuzzy analytic hierarchy process (Fuzzy-AHP) was then used to meet the purpose of the research.

The study identified that the organizational dimension is the most significant criteria for blockchain adoption in the banking sector, followed by the environmental dimension. In contrast, the technological dimension is the least influential criterion. Clientele pressure, IT resources, financial resources, pressure from competitors and relative advantage are the most influential sub-criteria for blockchain adoption.

This study provides valuable insights to bank managers, blockchain and IT developers, third-party service providers and policymakers. For instance, adopting the same blockchain platform is easier for both large and small banks for banking operations by using third-party service provider. At the same time, banks should have the banks' own core team to implement the blockchain-based systems or to have control over the third-party service providers during the adoption stage.

To the best of the authors' knowledge, no empirical studies have used a holistic organizational context to understand the factors influencing the adoption of blockchain technology from traditional to blockchain-based banking systems.