Purpose The purpose of this study is to test the relationship between abusive supervision and employee’s knowledge hiding behaviour among Indian information technology (IT) employees. The paper also strives to theoretically discuss and then seek empirical evidence to the two mediational paths (namely, psychological contract violation and supervisor directed aggression) that explain the focal relationship between abusive supervision and knowledge hiding. Design/methodology/approach To test the proposed hypotheses, the study draws cross-sectional data from Indian IT employees working in various IT firms in India. Data were collected at two time points (T1 and T2) separated by one month to counter the priming effect and neutralize any threat of common method bias. The final sample of 270 valid and complete responses was analysed using SmartPLS 3 to test the hypotheses. Findings Results showed that abusive supervision is positively related to employee’s knowledge hiding behaviours. Also, both psychological contract violation and supervisor directed aggression partially mediates the abusive supervision-knowledge hiding behaviour linkage. Originality/value First, the current study has tested the positive relationship between abusive supervision and knowledge hiding behaviours unlike most of the previous investigations that have focussed on knowledge sharing behaviour (the two are different constructs having different antecedents). Second, the study also empirically investigated the two parallel mediational routes, namely, psychological contract violation and supervisor directed aggression that explains the blame attributed by the beleaguered employee that led to covert retaliatory behaviour, such as knowledge hiding.
The biggest challenge facing countries, including India, is creating and managing an LCR (low carbon resilient) economy, which balances the need for high growth rates and is environmentally sustainable. The green bond market provides investors the means to help change the economy into an LCR economy. The study was undertaken to understand the key drivers and the factors influencing the individual retail investor’s decision to invest in green bonds. A survey instrument was designed and administered through the snowball sampling technique to 125 Indian respondents of various age groups who were eligible to invest in the Indian bond market. SPSS software was used to conduct a descriptive analysis followed by regression and conjoint analyses. The study results suggest that the Environmental, Social, and Governance (ESG) rating and credit rating of the green bond issuers are the key factors that influence an individual’s investment decision. The findings also highlight that incentives such as tax exemptions and awareness of green bonds also affect an investor’s decision. This research stands out as one of the first attempts to understand the Indian retail investors’ perception of a green bond.
Research has found that the new-age learner, Gen Z, is different from his/ her predecessors and hence educators need new age pedagogical interventions to cater to this group of learners. With a change in the way the new age learner learns, the education system needs to revamp to incorporate tools that suit the need of the learner.The paper reviews the use of Gamification as a tool for motivation and engagement for Gen Z in higher education with the help of peer-reviewed research literature from research databases predominantly from Scopus and Web of Science. The purpose of this paper is to provide suggestions on how to create an engaging and meaningful learning environment in Higher Education for Gen Z by providing relevant insights on Gamification with the help of secondary research. As this is an emerging field of study, this paper will help policymakers, educators and academicians to design and implement relevant interventions to use Gamification as an effective tool for Gen Z learners in the field of higher education.
India is expected to be ranked among the top three healthcare markets in terms of growth by 2020. The scale and scope for delivery of quality healthcare services demand high levels of service performance to provide effective and efficient services to patients. The purpose of this study is to assess the performance efficiency of Indian private hospitals using data envelopment analysis (DEA) and super-efficiency DEA. The analysis uses an output-oriented approach with a mix of four inputs and one output variables to identify the most efficient hospitals. In the first stage, a sample of 25 private hospitals is evaluated using DEA, and in the second stage, the same sample is analysed using super-efficiency DEA for discriminating the performance of the efficient hospitals. The results show seven hospitals as the most efficient ones using DEA in the first stage. Fortis Hospital Ltd emerges as the super-efficient hospital using super-efficiency DEA analysis in the second stage. The results obtained have managerial implications and provide the decision maker (DM) the requisite guidance for corrective actions.
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