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The paper aims to understand the young residents’ household waste intentions through place attachment (PA) approach where place dependency (PD) and place identity (PLI) influence recycling intentions (RIs). Furthermore, the effect of norms (both subjective and moral) on residents’ association with PLI was also analyzed.

The conceptual model, including the hypothesized relationship between variables, was established through relevant literature. The study extends the theory of planned behavior (TPB) through a place-based approach in young residents’ household waste RIs. The proposed conceptual model also replaced the position of norms (subjective and moral) as antecedents to PLI in the proposed extended and modified TPB model. Partial least square structural equation modeling (PLS-SEM) has been used for the statistical analysis of the data. The questionnaires were distributed digitally. The convenience sampling approach was adopted for collecting data.

The results tenably billed the inclusion of placed-based approach in the TPB and norms (subjective and moral) in predicting PLI of young residents. All the alternative hypotheses in the proposed model were accepted. The predictive power of RIs was 41.4%.

The research only considered the educated and financially opulent residents, among whom the waste disposal system was well established and may have led to favorable results. The study only limits to measuring intentions, and its organic nature opens vistas for future research studies where more variables could be agglutinated to achieve pronounced prediction power and also further measure actual recycling behavior and practice.

The study adds to pragmatic implications for local governments and municipalities where the waste collection apparatuses could capitalize on the findings to achieve efficiency in household waste collection and recycling.

With young generation of residents at the helm for forging a cleaner environment, the study motivates environmental enthusiasts and social scientists to better understand household waste RIs. The study will help young generation to become more sensitized towards the environment by making green changes in daily disposal habits.

The study explored two prospects. First, PA (place dependence and place identity) was added as an external variable and precedent to RIs, and second, the norms (both subjective and moral) were taken as antecedents to place identity.

Rajan Overseas was founded by Rajan Makhija in the year 2014. It was into export of handloom products like rugs, throws, etc. Makhija wanted the company to grow from INR 7.6 crores to 100 crores in the next five years. However, the plan hit a roadblock as one of the largest customer of Makhija wanted him to sign an exclusive contract. Makhija was evaluating various growth options in the light of this new hurdle. The case can be taught in courses on entrepreneurship, internationalization and strategy for SMEs to teach topics related to effectuation and challenges of international business.

This chapter takes on the role of the metaverse in skill development, such as skilling, reskilling, and upskilling in the digital age. Metaverse is instrumental in revolutionizing skill development in the digital age and bringing the paradigm shift in learning. This chapter will cover the capability of the metaverse to transform the ways of learning and developing skills in the evolving digital landscape. Individuals can be part of tailor-made solutions for their needs through innovative methodologies and interactive experiences. This chapter takes through real cases to get deeper insights about conventional methods that transform how an individual experiences learning to acquire skills to get exposed to the rapidly changing digital world, allowing people to customize their learning experiences to adapt their unique requirements through cutting-edge methodologies and digitally responsive encounters. It then deliberates the importance of the metaverse in the individual-led industry in a manner that allows people to reach their potential. Individuals succeed in the evolution of the metaverse dynamic by continually upskilling granted to them.

Working capital efficiency (WCE) is crucial for the sustainability of both large and small firms. This study aims to use the sample of micro, small and medium-sized enterprises (MSMEs) in India and tries to understand the critical determinants of WCE.

Using a fixed effect panel data model on a sample of 578 MSMEs (59 micro, 226 medium and 296 small firms), this study explores the relationship between the predictors of WCE. Additionally, the study adopted two metrics for measuring WCE among each type of firm (micro, small and medium).

Several firm-specific variables, including leverage (lever), firm age (AGE), firm size (Fsiz), profitability (Prof), extended payment terms (EPT), human capital (HCap), asset turnover ratio (ATR), reverse factoring (RF) and firm growth (FG), have a significant effect on working capital management efficiency (WCE). In contrast, tangibility (Tangib) and salary expenses (Sal) had an insignificant effect on working capital management efficiency.

The study is based on secondary data. Future studies may incorporate some primary data, which will facilitate qualitative analysis.

The studies explore the relationship between WCE and expenses in HCap, EPT, RF and Sal as the predictors for WCE, which was not studied earlier in MSMEs scenario, especially in case of developing nation.

Brands have started investing heavily in their social media pages. Especially for banks having credence nature, the importance of engaging customers with the brand-related content on their social media pages has become a challenge. The present study explores the role of various characteristics of a brand's social media marketing efforts (SMME) and individual customer's general online social interaction propensity (GOSIP) on the customers' engagement/online brand-related activities (COBRAs). The subsequent effect of COBRAs on key banking outcomes such as satisfaction, trust and loyalty has also been evaluated. The moderating role of the customer–brand relationship length has also been evaluated.

A two-stage mixed-method approach was used for the data collection. Two focus group discussions were conducted for the preliminary stage, which resulted in identifying five Indian banking brands as stimuli for further study. For the main study, an online survey link was shared with the members of the stimuli banking brands' social media pages. A total of 552 useable responses were collected. After performing the exploratory factor analysis and common method bias tests, the collected data were analyzed using structural equation modeling and multi-group analysis.

The results of the present study have added all five characteristics (namely, entertainment, interaction, trendiness, customization and electronic word of mouth) of SMME and GOSIP as the key antecedents of the customers' engagement with brand content on social media pages or COBRAs. COBRAs have been found influencing the customers' satisfaction, but evidence of influence on the trust and loyalty has not been found. The length of the relationship between customers and the banking brand has been observed as an important moderator for the satisfaction–trust–loyalty relationship.

The present study has three unique contributions to the literature. Firstly, the study evaluates the role of customer-brand engagement on the banking brand's favorable outcomes such as satisfaction, trust and loyalty. Secondly, the exploration of the role of various social media marketing activities that can enhance customer–brand engagement. And finally, the study tests the moderating role of the customer–brand length of the relationship on the complete set of marketing activities–engagement–loyalty relationships.

The purpose of this paper is to incorporate mobile payment (MP) self-efficacy, new technology anxiety, and MP privacy concerns into the basic TAM to explore MP adoption, particularly tap-and-go payment, among US consumers.

Data were collected through an online survey conducted among students at a Midwestern University in the USA. A total of 254 participants provided 240 useable responses.

MP self-efficacy significantly impacts perceived ease of use (PEOUMP) and perceived usefulness of MP (PUMP). These in turn impact MP attitude, which affects intention to use MP. Privacy concerns also impact attitude towards MP and MP use intention. New technology anxiety impacts PEOUMP, but not PUMP.

The study uses a convenience sample of young US consumers, which could limit the generalisability of the results. The study is also limited to tap-and-go payment.

US retailers have information on some of the factors that encourage MP adoption. Retailers need to address self-efficacy concerns, MP privacy concerns, and consumers’ perceptions of usefulness of the technology.

There has been little research on factors impacting tap-and-go payment adoption in the USA. The study highlights the roles of self-efficacy and privacy concerns. It focusses on tap-and-go payment, since this technology can enhance consumers’ retail experience.

This study aims to organise and present the development of asset pricing models in the international environment. The stock market integration and cross-listing lead us to another objective of bibliometric analysis for “International Asset Pricing” to provide a complete overview and give scope and directions for future research.

Web of Science database is used to search with “International Asset Pricing.” Of 3,438 articles, 2,487 articles are selected for the final bibliometric analysis. Various research such as citation analysis, keyword analysis, author’s and corresponding author's analysis have been conducted.

The bibliometric analysis finds that the USA comes out to be the country where the maximum research was conducted on the topic. The keyword analysis was also analysed to evaluate the significant areas of the research. Risk, return and international asset pricing are the most frequently used keywords. The year 2020 has the maximum number of published research articles and citations due to the change in the market structure worldwide and the effect of Covid-19 across the world.

The present paper provides the collection, classification and comprehensive analysis of “International Asset pricing,” which may help the academicians, researchers and practitioners for future research for the relevant subject area.

The purpose of this paper is to analyze the factors affecting the implementation of unmanned aerial vehicles (UAVs) in Indian humanitarian logistics. The factors listed are significant as they are hindering the incorporation of this new technology into the humanitarian supply chain, thus creating inefficiencies in the humanitarian logistics sector.

This research is approached using a two-step process. In the first step, the particular barriers for UAV implementation are determined by a literature review and consultation with experts. Next, the proposed framework, a combination of grey-decision-making trial and evaluation laboratory (grey-DEMATEL) and analytic network process (ANP), i.e. g-DANP, is used to determine a hierarchical structure for the factors and sub-factors. The grey hypothesis provides sufficient analytical data to an otherwise lacking DEMATEL technique. Also, the use of ANP gives weightage to each factor, allowing us to categorize their importance further.

This study reveals that factors like expensive commercial solutions and high transport energy costs are significant factors of the “cause” group, whereas the uncertain cost for maintenance and repair and deficiency of high-level computing are crucial factors of the “effect” category. The mentioned factors, along with many others, are the main reasons for the delayed incorporation of UAVs in humanitarian logistics.

The results of this study present insights for humanitarian supply chain managers, UAV producers and policymakers. Those in the humanitarian logistics sector can use the findings of this study to plan for various challenges faced as they try and implement UAVs in their supply chain.

This research is unique as it analyses the general factors hindering the implementation of UAVs in Indian humanitarian logistics. The study enriches existing literature by providing an analytic approach to determine the weightage of various interrelations between the identified factors affecting UAV incorporation in the humanitarian supply chain.