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Post COVID-19 crisis, healthcare has become a priority for every government. Furthermore, the pandemic has also made us realise why do we need an affordable healthcare delivery service at the grassroots level. As a result, the Government of India has come out with the Ayushman Sahakar scheme. This scheme has been launched by the Union Government with an aim to assist the cooperatives in the creation of healthcare infrastructure in this country. It is pertinent to note that the cooperatives in the last few years have transformed rural areas and have pushed them out of poverty. As a result, it will be interesting to see the impact cooperatives will have in the field of healthcare.

The authors in this work have discussed the history of healthcare cooperatives in India. After this, the authors have analysed the government schemes and legal provisions which regulate the functioning of healthcare cooperatives in this country. In the next part, the authors studied the Ayushman Sahakar scheme. The authors have discussed the features of the scheme and the impact it has generated in the field of healthcare. Lastly, the author has discussed the challenges which healthcare cooperatives face in this country and how we can overcome those challenges.

The dynamic business environment and intense competition have mandated agility in operations for manufacturing firms. Effective inter-organizational collaboration can make operations more agile. This paper develops an interpretive model to explore the effect of supply chain collaboration (SCC) on supply chain agility (SCA) and, subsequently, on business performance.

A hierarchical model that illustrates the relationship between SCC, SCA and firm performance components is developed using total interpretative structural modeling (TISM). Also, statistical validation of the model has been performed.

The results indicate that the vision and alertness of the firm on the strategic front promote collaboration between supply chain partners. This creates operational agility, helping the firm to absorb fluctuations in demand, thereby enhancing business performance.

The opinion of most respondents was considered to develop the TISM framework over the fuzzy one, which necessitates a significantly more extensive data set. However, multiple discussions with participants can eliminate the prejudice of the majority approach. Also, the paper's development and validation were restricted to Indian manufacturing small and medium-sized enterprises (SMEs). The model can potentially be evaluated in large organizations to provide further insights.

The study blends the factors of SCC and SCA in a novel way to explain their combined impact on business performance. The TISM model addresses the “why” of theory development in addition to the “what” and “how” of it. Using triangulation in combination with the interpretative tool, this study additionally offers methodological value.

This paper aims to provide an in-depth awareness into the research on customised training programme for the indigenous population in India. The central aim is to conduct a systematic review on the available studies to explore its crucial themes interweaving with skill development.

This study uses systematic review method, for which the author uses Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, SPIDER tool and Mendeley to identify relevant articles from 2011 to 2022.

Results show that the customised training programme is useful for the first-generation population to upgrade their skills. It aids in improving scalability, supports job creation and facilitates in mitigating low level of training exposure by meeting the local needs. However, poor approachability on customised training, its oversimplification and lack of research dents the critical insights and prospects.

The novelty of this paper lies on retrieving the essential indicators of customised training from previous studies by systematic review tools. It can aid academicians, educators, local administration and policymakers to understand its benefits for indigenous population to fill the policy gaps.

The purpose of this paper is to examine the effects of performance management (PM) practices on in-bound open innovation (OI) and out-bound OI. To do this, the authors examine the organizational effectiveness as well as the non-financial and financial performance of Brazilian startups that have had recent OI relationships with larger companies.

Using data collected from 103 Brazilian startups, the hypotheses were tested via partial least squares–structural equation modeling (PLS-SEM). An additional analysis was performed using fuzzy-set qualitative comparative analysis (fsQCA).

The findings show that PM practices orchestrate in-bound OI and out-bound OI; however, only in-bound OI promotes organizational effectiveness in Brazilian startups. Organizational effectiveness results in good non-financial performance, which in turn improves financial performance. PM practices have an indirect effect on financial performance from the serial mediation of in-bound OI, organizational effectiveness and non-financial performance. Moreover, several combinations of conditions lead to high levels of organizational effectiveness, non-financial performance and financial performance.

This study provides new evidence and insights from an emerging market on the antecedents and consequences of startups' OI adoption.