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There has been an increase in the number of highly qualified management graduates specialized in finance from various esteemed universities in India, thus increasing the competition for finance job roles in the country. This, therefore, brings in the need for the employees or the prospective candidates to mold their soft skills so as to make them desirable by the companies and hence employable. The purpose of this paper is to provide a list of skills required by management graduates to become employable for finance job roles from the perspective of corporate executives. This list will enable prospective candidates to prepare themselves for a career in the field of finance.

The research was carried out through the collection of data from 117 finance professionals with a minimum work experience of 5 years with the help of structured questionnaires. This was then analyzed through factor analysis and the list of 15 factors was obtained.

A list of 15 essential factors was obtained through the analysis of the data. The essential skills included empathetic and judicious behavior, professional etiquette and employee well-being, ethical behavior, conflict management, change analysis and prediction; practicality and organizational presence of mind; social and moral presence of mind; self-confidence and effective written communication; effective interpersonal communication and employee value systems; responsibility and self-awareness; problem diagnosis and problem-solving; real-time work and activity experience; professional development and advancement; technology rationalization and effective information generation. The findings also included that a candidate should be able to effectively present crucial information and should possess practical advisory skills.

The study will be highly beneficial for management graduates who have specialized in finance to secure finance job roles in India. This paper will enable the students to prepare themselves in the essential soft skills required for these job roles apart from technical knowledge and hard skills.

Since the hospitality industry is driven by people, effective utilization of knowledge among various organizational units is required to ensure guest satisfaction and in turn superior performance. Research trying to find the implications of transactive memory systems (TMSs), an integrative mechanism for knowledge management in organizations, has yielded ambiguous and mixed results, leading the researchers to believe that the linkages may not be as straightforward as previously imagined. In this study, the authors theoretically build their arguments based on the knowledge-based view of the firm and empirically test these linkages using data collected from the small hotels of India.

Data were collected from the owner-managers or senior executives of small hotels operating in the Uttarakhand state of India, and analysed using structural equation modelling (SEM) and Hayes process macro.

It was found that for the hospitality firms, the TMS is an enabler for performance only when the focus of knowledge creation and utilization is on building effective strategic orientations. Further, the technology orientation (TO) and learning orientation (LO) of the hotel mediate the relationship between the TMS and firm performance.

Effective knowledge sharing among employees helps availability of credible and crucial information about customers, which eventually helps in long-term mutually beneficial relationships with the customers, leading to greater economic value creation for the hotel.

By establishing theoretical links between knowledge creation and utilization, and validating these linkages using data collected from the hotel industry in India, this study offers unique and useful insights for the theoretical advancement of the hospitality literature. This study also makes a case that small hotels investing their energy and resources into the creation of a transactive memory systems could reap benefits through appropriate strategic postures.

The objective of this research is to examine the perception of corporate social responsibility (CSR) held by consumers in India and America in order to draw out similarities and differences in conceptualization and response.

This paper uses a web‐based questionnaire in English, given that it is most commonly used for professional communication in India. A qualitative analysis of participant responses to open‐ended questions was conducted to generate results.

There is a substantial portion of US consumers who are unaware of socially responsible companies compared with their Indian counterparts who failed to recognize the CSR initiatives of multinational companies. Qualitative analysis showed that, though there was some overlap in CSR domains between the two countries, each sample also identified domains that were unique. Finally, both country samples also showed a positive level of CSR responsiveness.

The paper used a web‐based questionnaire that allowed the sample to comprise only consumers with internet access.

This research informs multinational (MNC) managers about the parity in consumers' conceptualization of CSR and subsequent response. The study recommends that managers customize CSR programs in emerging markets to overlap with the target market's perception rather than assume a universal definition of the construct as defined in the literature.

This exploratory research expands knowledge in the area of CSR where most of the investigation of consumer stakeholder response has been limited to the North American and European markets.

Selective laser melting and electron beam melting processes are well-known for the additive manufacturing of metal parts. Metal powder bed fusion (MPBF) is a common term for them. The MPBF process can empower the manufacturing of intricate shapes by reducing the use of special tools, shortening the supply chain and allowing small batches. However, the MPBF process suffers from many quality issues. In literature, several works are recorded for qualification of the MPBF part. The purpose of this study is to recollect those works done for quality control and report their helpful findings for further research and development.

A systematic literature review was conducted to highlight the major quality issues in the MPBF process and its root causes. Further, the works reported in the literature for mitigation of these issues are classified and discussed in five categories: experimental investigation, finite element method-based numerical models, physics-based analytical models, in-situ control using artificial intelligence (AI) and machine learning (ML) methods and statistical approaches. A comparison is also prepared among these strategies based on their suitability and limitations. Additionally, improvements in MPBF printers are pointed out to enhance the part quality.

Analytical models require less computational time to simulate the MPBF process and need a smaller number of experiments to confirm the results. They can be used as an efficient process parameter planning tool to print metal parts for noncritical applications. The AI-ML based quality control is also suitable for MPBF processes as it can control many processing parameters that may affect the quality of the MPBF part. Moreover, capabilities of MPBF printers like thinner layer thickness, smaller beam diameter, multiple lasers and high build temperature range can help in quality control.

This study converts the piecemeal data on MPBF part qualification methods into interesting information and presents it in tabular form under each strategy. This tabular information provides the basis for further quality improvement efforts in the MPBF process.

This study references researchers and practitioners on recent quality control efforts and their significant findings for a better quality of MPBF part.