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The purpose of the present work is to improve the industry performance by identifying and quantifying the risks faced by the Indian pharmaceutical industry (IPI). The risk values for the prominent risks and overall industry are determined based on the four risk parameters, which would help determine the most contributive risks for mitigation.

An extensive literature survey was done to identify the risks, which were also validated by industry experts. The finalized risks were then evaluated using the fuzzy synthetic evaluation (FSE) method, which is the most suitable approach for the risk assessment with parameters having a set of different risk levels.

The three most contributive sub-risks are counterfeit drugs, demand fluctuations and loss of customers due to partners' poor service performance, while the main risks obtained are demand, financial and logistics. Also, the overall risk value indicates that the industry faces medium to high risk.

The study identifies the critical risks which need to be mitigated for an efficient industry. The industry is most vulnerable to the demand risk category. Therefore, the managers should minimize this risk by mitigating its sub-risks, like demand fluctuations, bullwhip effect, etc. Another critical sub-risk, the counterfeit risk, should be managed by adopting advanced technologies like blockchain, artificial intelligence, etc.

There is insufficient literature focusing on risk quantification. Therefore, this work addresses this gap and obtains the industry's most critical risks. It also discusses suitable mitigation strategies for better industry performance.

The pharmaceutical industry faces multiple risks that adversely affect its performance. Within these risks, some dependencies have been observed, which help in streamlining the mitigation efforts. Therefore, the present work identifies and categorizes various risks/sub-risks in cause–effect groups, considering uncertainty in the decision-making process.

An extensive literature review and experts' opinions were utilized to identify and finalize the risks faced by the pharmaceutical industry. For further analysis, data collection was done using a questionnaire focusing on finalized risks. Based on the data, the causal relation under uncertainty between various risks/sub-risks was identified using a multi-criteria decision making (MCDM) technique, i.e. intuitionistic fuzzy DEMATEL, in a pairwise manner.

The results show that the three most prominent risk categories are operational, demand/customer/market and financial. Also, out of the seven main risks, only supplier and operational are categorized within the effect group and the rest, i.e. financial, demand, logistics, political and technology within the cause group. The sub-risks within each category have also been categorized into cause–effect groups. The mitigation of cause group risks will help in economize the financial resources and improve the performance and resilience of the industry.

There is insufficient research on identifying the causality among the pharmaceutical industry risks. Additionally, an extensive discussion on the identified cause–effect groups is also missing in the literature. Therefore, in this work, efforts have been made to determine the prominent risks for the Indian pharmaceutical industry that will be helpful for channelizing the resources to mitigate risks for a resilient industry.

Relying on social identity and social exchange perspectives, the present study aims to investigate the role of employee branding dimensions in stimulating employees’ brand citizenship behaviour (BCB) directly and indirectly through job satisfaction and affective brand commitment.

A field-survey method was used to target customer-contact employees of luxury chain hotels. Regression-based approach and bootstrap method (via PROCESS MACRO, Model 6) were applied to test the direct and indirect effects.

The results show that perceived external brand prestige has a strong direct effect on BCB. Through mediation analysis, this study observes that job satisfaction and affective brand commitment have significant mediation effects (i.e. individual, parallel and sequential) between employee branding dimensions and BCB. Analysing the results precisely, job satisfaction and affective brand commitment have the lowest sequential mediation effect and the greatest parallel mediation effect concerning the said relationships.

This study is novel in applying a three-path mediation model in the Indian hospitality context, considering a multi-dimensional perspective of employee branding to capture its diverse impact on BCB directly and indirectly through job satisfaction and affective brand commitment. Moreover, this study advances employee branding research by considering the under-investigated mediating (individual, parallel and sequential) role of job satisfaction and affective brand commitment.

Based on the conservation of resource (COR) theory, this study investigates the association between the perception of organizational politics and organizational citizenship behavior (OCB) while considering the mediating role of knowledge hiding and moderating role of political skill in this process.

Data were collected in a time-lagged survey in two waves with a three-week interval from frontline employees and their peers working in private sector banks in India. The hypothesized relationships were ascertained using the PROCESS macro for SPSS.

The results revealed a negative association between the perception of organizational politics and OCBs targeted at co-workers (OCBI), organization (OCBO) and customers (OCBC), both directly and indirectly, via knowledge hiding. Additionally, the negative indirect effect of the perception of organizational politics on OCB facets, via knowledge hiding, is buffered for individuals with high levels of political skill.

The current study portrays a more comprehensive understanding of the dynamics between the perception of organizational politics and OCB, with a particular emphasis on identifying the unidentified factors that may impact this liaison.

Entrepreneurship represents a complex decision-making process capable of influencing the conditions of a socio-economic system. For this reason, stimulating entrepreneurship is a topic that has always fascinated scholars and attracted the attention of public policy makers. This study, from the perspective of the theory of planned behaviour (TPB), aims to contribute to the analysis of entrepreneurial intention (EI) in university students. Factors such as entrepreneurship education (EE), mediation of personal attitude (PA), perceived behavioural control (PBC), EI, regulatory support (RS) and opportunity recognition (OR) for university students.

Research data was collected using a questionnaire, and a cross-sectional sample was selected from senior business and engineering students who are most likely to participate in entrepreneurial activities. The survey was conducted in the Delhi NCR region. 240 students were interviewed. Partial least square structural equation modelling using SmartPLS-4 was used to test the explanatory and predictive power of the proposed model.

The results of this study offer interesting contributions to the academic debate. First, EE has a significant impact on PA, PBC and entrepreneurial intentionality. Second, PBC, recognition of opportunities and EI have a significant impact on entrepreneurial education. Finally, PA and PBC significantly mediate the “entrepreneurial education – entrepreneurial intention” relationship.

Interesting elements of originality are offered by this study. First, entrepreneurship is studied as a decision-making process influenced by intentions and not behaviours. Second, the authors limited the efforts to unraveling the effect of the five variables on the formation of EI. Finally, the large size of the sample allows the authors to obtain significant results, directing future studies to other territorial contexts. Additionally, incorporating some control variables, such as gender and family background, would explore the relationship between the model variables more meaningfully.

The purpose of this study was to explore patient’s perception of their disorder.

This study used a phenomenographical approach within a qualitative research paradigm. A total of 21 patients with knee osteoarthritis (OA) were recruited for the study, and data were collected through open-ended face-to-face interviews. The interviews were transcribed and thematically analyzed. The transcribed verbatim was analyzed for themes.

The themes developed reflected the patients’ perceptions about the disease process. Thematic analysis revealed three themes: Knee OA is a degenerative disease, Knee OA is an age-related disease and Knee OA is caused by certain activities of daily living. The patient’s information varied and was limited to what had been provided by the health-care practitioner. The knowledge was more biomedical in orientation and was limited and not supported by the evidence.

There is a need to provide evidence-based information that the patient must understand. Health-care providers must use a biopsychosocial framework to discuss the disease knowledge with patients.

This study helps us in identifying disease perceptions that can be used to design education programs for knee OA patients. It also highlights the need for delivering educational programs to knee OA patients.

This study lays a foundation for further research. To the author’s best knowledge, this is the first study to explore disease perceptions using a qualitative approach conducted among patients from a lower middle-income country.