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This study aims to use a multi-stage scale development process to identify the dimensions of philanthropic corporate social responsibility (PCSR) in India’s fast-moving consumer goods (FMCG) sector.

The authors conducted a study to develop a comprehensive, reliable and valid scale for measuring PCSR based on the customer perception of FMCG product manufacturers. This research adopted a comprehensive and detailed scale development process using multi-stage sampling for scale development. This final study was conducted on a sample of 402 respondents from the city of Jaipur, India.

The results have underlined the multi-dimensional aspect of PCSR; these dimensions are: altruism towards society, volunteering for local community development, generosity towards ecology, benevolent spirit and problem-solving charity.

This study gives valuable insights into philanthropic scale development in the FMCG sector that can immensely help domestic and international marketers to formulate CSR as a strategy. This research provides insights into a wide range of scales which can be base for future research studies that aim to explore different organizational settings.

PCSR and CSR are important for developing strategies for sustainable businesses across the globe. Dimensions of PCSR will be useful for practitioners and researchers in developing second-order constructs for future studies.

Sharing of knowledge has always been accredited as the indispensable segment of knowledge management. As knowledge management practices are growing within the organizations, it is important that correspondingly, valid and reliable knowledge sharing behavior scales are developed to avoid validation issues. Therefore, this composition describes the development and validation of multi-dimensional tacit knowledge sharing behavior scale.

Herein, two analytical techniques, namely, exploratory and confirmatory factor analysis have been used to derive the composition of the constructs.

The study proposes four-dimensional tacit knowledge sharing behavior scale for services which include voluntarily tacit knowledge donation, involuntary tacit knowledge collection, involuntarily tacit knowledge collection and voluntary tacit knowledge collection.

A more holistic approach to the tacit knowledge sharing behavior construct has been proposed, which is helpful in contributing to the literature of tacit knowledge sharing behavior of employees. Additionally, it has made an attempt to eliminate the gap as voiced by most of the literature related to tacit knowledge sharing in service industries which has focused upon western service sectors and limited research is available in the Asian context.

The ingenuity of the scale lies in the fact that it measures voluntary and involuntary aspects of tacit knowledge sharing behavior of employees which can be used by the organization to develop knowledge management plans and knowledge sharing practices based on the identified strategies.

The study is one of its kind that has considered various aspects namely, knowledge donation, knowledge collection, voluntary knowledge sharing and involuntary knowledge sharing together.

This study aims to provide a scientific framework for the selection of suitable substation technology in an electrical power distribution network.

The present paper focuses on adopting an integrated multi-criteria decision-making approach using the Delphi method, analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). The AHP is used to ascertain the criteria weights, and the TOPSIS is used for choosing the most fitting technology among choices of air-insulated substation, gas-insulated substation (GIS) and hybrid substation, to guarantee educated and supported choice.

The results reveal that the GIS is the most preferred technology by area experts, considering all the criteria and their relative preferences.

The current research has implications for public and private organizations responsible for the management of electricity in India, particularly the distribution system as the choice of substations is an essential component that has a strong impact on the smooth functioning and performance of the energy distribution in the country. The implementation of the chosen technology not only reduces economic losses but also contributes to the reduction of power outages, minimization of energy losses and improvement of the reliability, security, stability and quality of supply of the electrical networks.

The study explores the impact of substation technology installation in terms of its economic and environmental challenges. It emphasizes the need for proper installation checks to avoid long-term environmental hazards. Further, it reports that the economic benefits should not come at the cost of ecological degradation.

The present study is the first to provide a decision support framework for the selection of substation technologies using the hybrid AHP-TOPSIS approach. It also provides a cost–benefit analysis with short-term and long-term horizons. It further pinpoints the environmental issues with the installation of substation technology.