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This paper aims to present the seven organizational principles for developing value-dominant logic (VDL) thinking and advancing it toward making a business purposeful and open to a lifestyle of value for humanity at large.

VDL considers value as rooted on axiology, actor-network theory, the hygge concept and is deployed through seven organizational principles deriving from the original eight VDL principles (Mahajan, 2017).

It is necessary to consider value in its polysemous meanings as an emergent element and a result of people’s interpretation based on norms and beliefs. At the same time, managers conceptualize businesses to create stimuli for the markets and society and favoring the emergence of a positive and sustainable value. This study explains how organizations and managers can be driven by norms and beliefs and a purpose to make decisions and assume postures and behaviors capable of stimulating the emergence of positive and sustainable value, creating opportunities for humanity at large; this managerial behavior creates conditions for value creation, and it is framed in VDL.

A research agenda is provided that can spawn fruitful research in VDL.

This study develops the theoretical roots for a management approach that will support organizations and managers in interpreting their role as stimulators of value.

The study focuses on the well-being and happiness of all the stakeholders.

The study developed organizational principles deeply rooted in the VDL.

Appearance is part of a person's non-verbal communication, and looks are often associated with the perceived ‘attractiveness’ of individuals for hiring practices in the workplace. As such, physical attractiveness can be a ‘prized possession’ when it comes to leaving a positive impression on managers who are interviewing candidates. In the twenty-first century environment, our society seems to be more obsessed with physical appearance than ever before because society has conditioned us to associate beauty with other favourable characteristics. Of course, such appearance norms, regarding attractiveness, ‘good looks’ and beauty are linked to years of socialisation in culture, cultural norms and materialistic personality standards.

In a business context, managers and employers often make hiring decisions based on the appearance and attractiveness of the job applicants since outward appearance seems to play a significant role in which candidates eventually might get the job. Physically attractive job applicants and candidates tend to benefit from the unearned privilege, which often comes at a cost to others who are equally qualified. Preferring employees who are deemed to be attractive, and consequently discriminating against those who are perceived as unattractive, can present legal and ethical challenges for employers and managers. In this chapter, we provide a discussion and reflection of appearance-based hiring practices in the United States with relevant legal, ethical and practical implications for employers, human resources professionals and managers. We focus on ‘lookism’ or appearance discrimination, which is discrimination in favour of people who are physically attractive. As such, we examine federal, state and local laws regarding appearance discrimination in the American workplace. We also offer sustainable policy recommendations for employers, HR professionals and managers on how they can be fair to all candidates in order to hire, promote and retain the most qualified professionals in their departments and organisations.

The first purpose of the present study is to investigate the coverage of journal articles in Physics in various sources of altmetrics. Secondly, the study investigates the relationship between altmetrics and citations. Finally, the study also investigates whether the relationship between citations and altmetrics was stronger or weaker for those articles that had been mentioned at least once in the sources of altmetrics.

The journal articles in Physics having at least one author from an Indian Institution and published during 2014–2018 in sources of altmetrics have been investigated. Altmetric.com was used for collecting altmetrics data. Spearman’s rank correlation coefficient (ρ) has been used as the data found to be skewed.

The highest coverage was found on Twitter (22.68%), followed by Facebook (3.62%) and blogs (2.18%). The coverage in the rest of the sources was less than 1%. The average Twitter mentions for journal articles tweeted at least once was found to be 4 (3.99) and for Facebook mentions, it was found to be 1.48. Correlations between Twitter mentions–citations and Facebook mentions–citation were found to be statistically significant but low to weak positive.

The study concludes that due to the low coverage of journal articles, altmetrics should be used cautiously for research evaluation keeping in mind the disciplinary differences. The study also suggests that altmetrics can function as complementary to citation-based metrics.

The study is one of the first large scale altmetrics studies dealing with research in Physics. Also, Indian research has not been attended to in the altmetrics literature and the present study shall fill that void.

The study aims to ratify skills necessary to bridge the gap between the existing models and emerging needs of a technology-enabled workspace; especially in the Indian context.

This paper extends the ongoing debate on a relevant employability framework suitable both for higher education institutes and corporates. To remain resilient to future catastrophes similar to the ongoing pandemic, the relevancy of established employability skills to suit the changing scenario needs to be established.

The partial least squares (PLS) technique has been used to present a framework confirming the importance of digital competencies, business fundamentals and behavioral skills. In-depth discussions with specialists ratified the proposed framework and recommended potential changes in curriculum and pedagogy.

This study validates an explicit and comprehensive employability skill framework and useful recommendations in teaching strategies, which may provide a broad skill base for graduates to prepare for the volatile business environment in the long run.

The study has been able to put forth significant employability skills as deemed significant by the three stakeholders. This will provide guidance to higher educational institutions (HEIs) to come up with a broad skill-base for the fresh graduates and prepare them for the volatile business environment and encourage life-long learning to remain productive in the long run.

The study is unique as it incorporates the perceived importance of the competencies assumed by each stakeholder, namely, employers, faculty and management graduates, which was unfortunately lacking in earlier researches.

In this introduction to the special issue, ‘Marxist Thought in South Asia’, we detail the long history of Marxist politics and theorizing in South Asia and highlight the unique contributions and perspectives of South Asian Marxists to global Marxism. Three contributions we find particularly significant are (1) South Asian Marxists' approach to thinking about questions of capitalism, colonialism and imperialism, (2) the treatment of agrarian and feudal continuities in Marxist theories from South Asia and (3) unique South Asian contributions to theorizing caste from a Marxist perspective.

The purpose of this study was to determine the extent to which teaching staff cooperated with librarians in collection development, specifically in relation to electronic resources, and to identify barriers they encountered while performing collection development activities.

A mixed methods approach was adopted for the study. Quantitative and qualitative techniques of data collection and analysis were used to obtain a comprehensive understanding of the research topic. Data were gathered through a self-administered questionnaire and interviews. A total of 149 faculty members completed the questionnaire, yielding a response rate of 51.2%, while 16 library staff members were interviewed to obtain qualitative data.

The majority of the teaching staff who participated in the study affirmed that they had cooperated with subject librarians in collection development. A high percentage (62.4%) of the faculty members had collaborated with subject librarians in collection development activities. Only 37.6% of the faculty members had not participated in collection development activities with subject librarians to acquire library electronic resources. According to faculty members, some of the main challenges affecting collection development at the University of Namibia were a lack of catalogues for electronic resources and a lack of lists of titles from vendors. Moreover, librarians were not always available to assist faculty members. It is recommended that faculty members be part of the process of selecting materials and that a good relationship be fostered between librarians and faculty members to bring value to collection development activities.

Collection development in respect of electronic resources is a complex process to be undertaken by a single entity and, therefore, requires the collaboration of all stakeholders involved. In the case of institutions of higher learning, these stakeholders include faculty, librarians and vendors. The emergence of a variety of e-resources demands a meticulous strategy on the part of libraries to ensure they can offer a wide range of up-to-date and accurate resources that meet the evolving needs of their users. To the best of the authors’ knowledge, studies that are similar to this one have not been conducted in Namibia before. This case study presents useful findings and lessons on faculty–librarian cooperation for effective collection development, not only at the University of Namibia library but also at other academic libraries in economies with similar characteristics.

This paper aims to show the pragmatic studies that examine whether novel COVID-19 affects the national and international stock markets and reinforces the existing literature by highlighting the factors that are resultant from COVID 19.

The systematic literature review and bibliometric approach have been used in the study covering 585 selected articles published in journals of high repute from January 2020 to January 2022. The process of bibliometric analysis has been divided into three stages, namely, assembling, arranging and assessing. From the Scopus database, one of the most reliable and authentic database total of 585 records were collected, out of which 12 were specifically focused on communities, and information gathered in the comma-separated value documents design was compared and interpreted based on year, document types, subject area, country and research fields with the help of graphs and pie charts. The study has analyzed fact-based and reliable studies to draw inferences from existing literature regarding the pandemic impacting the financial markets. In the extant study, an attempt has been made to explore the factors that are resultant from the COVID-19 pandemic and affects the stock market performance, which can be further classified into a few common factors by using factor analysis.

It originated from the majority of the studies that the stock market retorted destructively to the upsurge in the figure of COVID-19 cases and fatalities. It also emphasized that the market has reacted differently in comparison to earlier catastrophes such as the great depression of 2008 and the Spanish flu. Various factors such as fear of losing capital, standstill economy, lower valuation, increased mortality rate, halt in business operations, retrenchment, trade war, liquidity issues, panic buying and selling, digitalization, negative media coverage, government interference, financial behavior of investors, hoarding of COVID supplies, promotion of start-up in health-care and education sector, news bulletins, prevention campaigns, use of medical devices and COVID-19 vaccination, etc. have been conferred from the studies that have an immediate consequence on the actions of investors in the stock market. It was further highlighted in the study that the Indian stock market has been less explored in respect of implications of COVID-19 contagion as the majority of studies were based on either international stock exchanges or combinations of varied nation’s stock markets. It was witnessed in the interpretation section that the number of studies is increasing at a fast pace as new variants of COVID-19 are emerging over time. Significant contribution has been done in enhancing the literature on COVID-19 and the stock market by China and the USA. The maximum contribution in this domain has been done in the form of articles in the present literature. Few studies were focusing on communities, so the present study will try to fill this research gap to some extent.

This conceptual paper is demarcated by unsatisfactory analyses of writings from multi-discipline to get a comprehensive scope of notional understanding. Furthermore, there is a perchance that some other imperative phenomena or variables that prejudiced trading bustle have not been captured by present reviews of research papers. The influences of other macroeconomic variables should be explored to understand the concrete results of this pandemic.

Most of the studies were based on foreign stock exchanges, so there is an opportunity to explore the Indian stock market concerning the implications of the coronavirus pandemic. In the literature, it was examined that short-term studies have been undertaken, which cannot determine the long-term implications of COVID-19. Over time, besides COVID-19, various other factors have started impacting the stock market, so it has become difficult to examine the influence of COVID-19 on the stock market in isolation.

The study will be helpful for future learnings in the arena of the stock market as it provides vast exposure to the present literature related to the impact of COVID-19 on economic markets. On the other hand, investors will also become aware of factors that are resultant of COVID-19 and will take the right decisions to save their investments in light of pandemic implications. The extensive review of studies will also help enterprising communities to take judicial steps to remain active in the period of economic slowdown.

The paper provides significant implications to the investors in the stock market, and it will provide useful insight to improve their returns on their portfolios. The learning from the study will help investors to take fruitful decisions considering the uncertainty during the pandemic period. The inferences drawn from rich existing literature will be guiding enterprises to take timely actions to avoid the situation of loss in the market and adapt new models to ensure continuity of business operations. Different markets had reacted differently, so investors need to be cautious before taking trading decisions.

Nature’s evolution has shaped intelligent behaviors in creatures like insects and birds, inspiring the field of Swarm Intelligence. Researchers have developed bio-inspired algorithms to address complex optimization problems efficiently. These algorithms strike a balance between computational efficiency and solution optimality, attracting significant attention across domains.

Bio-inspired optimization techniques for feature engineering and its applications are systematically reviewed with chief objective of assessing statistical influence and significance of “Bio-inspired optimization”-based computational models by referring to vast research literature published between year 2015 and 2022.

The Scopus and Web of Science databases were explored for review with focus on parameters such as country-wise publications, keyword occurrences and citations per year. Springer and IEEE emerge as the most creative publishers, with indicative prominent and superior journals, namely, PLoS ONE, Neural Computing and Applications, Lecture Notes in Computer Science and IEEE Transactions. The “National Natural Science Foundation” of China and the “Ministry of Electronics and Information Technology” of India lead in funding projects in this area. China, India and Germany stand out as leaders in publications related to bio-inspired algorithms for feature engineering research.

The review findings integrate various bio-inspired algorithm selection techniques over a diverse spectrum of optimization techniques. Anti colony optimization contributes to decentralized and cooperative search strategies, bee colony optimization (BCO) improves collaborative decision-making, particle swarm optimization leads to exploration-exploitation balance and bio-inspired algorithms offer a range of nature-inspired heuristics.

This study aims to explore the critical application areas of radio frequency identification (RFID) technology for sustainable buildings.

The quantitative research approach was adopted through a structured questionnaire administered to relevant stakeholders of construction projects. The data collected were analysed with the exploratory factor analysis, relative importance index (RII) and fuzzy synthetic evaluation (FSE).

The study’s results have categorised the crucial areas of application where construction industry stakeholders should focus their attention. These areas are divided into four categories: management technologies, production technologies, sensing technologies and monitoring technologies. The findings from the FSE indicate that monitoring technologies represent the most significant category, whereas management technologies rank as the least significant. Moreover, the RII analysis highlights that tools management stands out as the most important application of RFID, while dispute resolution emerges as the least significant RFID application.

The study establishes the core areas of RFID application and their benefits to sustainable buildings. Consequently, it helps stakeholders (consultants, clients and contractors) to examine the RFID application areas and make informed decision on sustainable construction. Furthermore, it provides systematic proof that can aid the implementation of RFID in developing countries.

The study provides an insight into the possible application areas and benefits of RFID technology in the construction industry of developing countries. It also developed a conceptual frame for the critical application areas of RFID technology in the construction industry of developing countries.