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The purpose of this paper is to understand the effect of store messiness and human crowding on shoppers' competitive behaviours, in-store hoarding and in-store hiding, through the mediating effect of perceived scarcity and perceived competition.

2 (store messiness: messy × tidy) × 2 (human crowding: high × low) between-subject factorial experiment was conducted online to manipulate retail store atmospheric factors. A total of 154 responses were collected through Amazon MTurk. The hypotheses were analysed using ANOVA and PROCESS (Hayes, 2013) procedure.

Results suggest that store messiness and human crowding within a fast-fashion store lead to perception of scarcity and competition that further affects competitive behaviours. When consumers experience store messiness, they are likely to hide merchandise in store, thus making it inaccessible for other consumers. Further, when they experience human crowding in the store, they feel that the products will be gone immediately so they have a tendency to hoard them.

This study examined the effects of scarcity perception by studying the case of fast-fashion retailers; generalizability needs to be established across different contexts.

Retailers by manipulating human crowding and store messiness can create a perception of scarcity in their stores, thus enhancing sales. However, they should also pay attention to deviant behaviours such as in-store hoarding and in-store hiding as these behaviours may decrease the store sales.

This research contributed to the retailing literature by finding a significant relationship between human crowding, store messiness and competitive behaviours through perceived scarcity and competition.

This study aims to examine the conceptual distinction of two clothing orientations – style orientation and fashion orientation. Style and fashion orientations both express identity and individuality, but the fashion orientation may more strongly reflect materialistic values, which extensive evidence shows are detrimental to well-being. This study investigates how the clothing orientations are associated with materialism and subjective well-being.

The conceptual distinction between style and fashion orientations and their associations with materialism and subjective well-being were investigated via an online survey (N = 4,591) conducted in Germany, Poland, Sweden and the USA. Participants aged 18–65 were recruited based on national representative quotas for age, gender, education and region.

The regression results support a conceptual distinction between the style and fashion orientation. Style orientation was positively associated with subjective well-being compared to fashion orientation. Both the style and fashion orientations were positively correlated with materialism, but the association was much stronger for fashion orientation and materialism exhibited a strong negative association with subjective well-being. Interestingly, materialism moderated the association between fashion orientation and well-being but not between style orientation and well-being.

The four examined countries were Western, and, thus, the findings cannot be generalized to other populations. In addition, this study specifically examined relationships in a clothing context. To enable wider generalization, the relationships tested must be explored in other countries, especially non-Western, and also across other product categories.

The findings of this study can help retailers develop their marketing programs, product and service offerings and specifically their communications more closely targeted to consumers’ clothing orientations.

This study contributes by conceptually distinguishing between clothing style and fashion orientations and investigating their divergent associations to materialism and subjective well-being. This research also raises the question of whether fashion orientation is independent or rather, an aspect of materialism, which has implications for other consumption domains as well.

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Foreign direct investment in the real estate (FDIRE) sector is required to bridge the gap between investment needed and domestic funds. Further, foreign direct investment is gaining importance because other sources of raising finance such as External Commercial Borrowing and foreign currency convertible bonds have been banned in the Indian real estate sector. Therefore, the objective of the study is to explore the determinants attracting foreign direct investment in real estate and to assess the impact of those variables on foreign direct investments in real estate.

Johansen cointegration test, vector error correction model along with variance decomposition and impulse response function are employed to understand the nexus of the relationship between various macroeconomic variables and foreign direct investment in real estate.

The results indicate that infrastructure, GDP and tourism act as drivers of foreign direct investment in real estate. However, interest rates act as a barrier.

This article aimed at exploring factors attracting FDIRE along with estimating the impact of identified variables on FDI in real estate. Unlike other studies, this study considers FDI in real estate instead of foreign real estate investments.

India is one of those countries that are severely affected by the COVID-19 pandemic. With the upsurge in the cases, the country recorded high unemployment rates, economic uncertainties and slugging growth rates. This adversely affected the real estate sector in India. As the relation of the housing market with the gross domestic product is quite lasting thus, the decline in housing prices has severely impacted the economic growth of the nation. Hence, the purpose of this paper is to gauge the asymmetric impact of COVID-19 shocks on housing prices in India.

Studies revealed the symmetric impact of macroeconomic variables, and contingencies on housing prices dominate the literature. However, the assumption of linearity fails to apprehend the asymmetric dynamics of the housing sector. Thus, the author uses a nonlinear autoregressive distributed lag model to address this limitation and test the existence of short- and long-run asymmetry.

The findings revealed the long- and short-run asymmetric impact of the COVID-19 outbreak and the peak of the COVID-19 on housing prices. The results indicate that the peak of COVID-19 had a greater impact on housing prices in comparison to the outbreak of COVID-19. This can be explained as prices will revert to normal at a speed of 0.978% with the decline in the number of COVID-19 cases. Whereas the housing prices rise at a rate of 0.714 as a result of government intervention to deal with the ill effects of the COVID-19 outbreak. Moreover, it can be inferred that both the outbreak and peak of COVID-19 will lead to a minimal decline in housing prices, while with the decline in the number of cases and reduction in the impact of the outbreak of COVID, the housing prices will rise at an increasing rate.

To the best of the authors’ knowledge, this is the first study to understand the impact of the outbreak and peak of COVID-19 on the housing prices separately.

The effect of global integration of businesses and interchange of ideas and technology through internet has many facets. Increase in economic recessions and decrease in research funding has forced both private and public sector research organizations to introduce measures of self-sustainability. Enhancing research and development (R&D) productivity of researchers can be one of those measures. The purpose of this paper is to attempt toward identifying and analyzing those factors of productivity that may be related to the manpower in R&D.

Based upon the theoretical background and the nature of data available, this empirical study has been carried out as a case study for a public sector research laboratory. The extent of involvement in research projects have been analyzed with respect to the R&D outputs generated by the researchers, which if found to be positively related, may be focussed upon, for increasing productivity of manpower in R&D. Several other determinants of R&D productivity were identified from the literature review and were analyzed in association with the “involvement.” “Robust Regression” technique was used for the statistical analysis.

It was found that the R&D productivity of researchers has a positive correlation with their extent of involvement in the R&D projects.

The result may help in creation of the policies for enhancing organizational self-sustainability.

Several prior studies have been conducted with different determinants of R&D productivity but hardly any studies were found considering “extent of manpower involvement in research projects.” This study can be useful for public sector research organizations to relate the findings with their endeavors of enhancing R&D productivity.

The paper tries to investigate the impact of applications of the resource-based view (RBV) theory in the management field to improve the firm’s profitability. Global firms are innovating and adopting new technology, paving the way to improve their performance.

We have adopted RBV in management practices such as marketing, strategy, finance, and human resources.

RBV has gained researchers' attention with the growing competitive world and new challenges to retaining customers and achieving their pre-defined targets. We attempt to identify the issues related to the usage of RBV in management.

Using RBV in management may help researchers create a competitive mindset and be prepared for uncertain challenges in the business world.

The purpose of this paper is to explore future directions in E-learning research by analysing data from Scopus indexed publications in order to have a comprehensive overview of the trends and thematic focus post COVID-19 in Asian context.

The paper uses Vos viewer and Biblioshiny software packages to analyse the bibliometric data. This software helped in identifying the anatomy of E-learning and their themes which were instrumental in forecasting future trends.

The paper depicts the trends in post COVID-19 E-learning research in Asian context. It identifies key publications, authors and journals in the field, with a focus on numerous networks of collaboration between writers and nations, identifying keyword clusters and co-citation analysis clusters. This study also explored that China and the USA are having maximum number of collaborations, whereas, countries like India, the United Kingdom, Singapore and New Zealand have comparatively weaker collaboration networks. So there is lot of potential for these countries for such collaborations. India is the most cited country globally and China is having maximum number of scientific productions per year.

The paper has been written by exclusively referring to Scopus database papers. Collecting data from different databases would significantly improve the study. Future researchers can also focus on papers from psychology, computer science and engineering fields as current work is based on open access articles on social business, business and arts and humanities.

This research will be useful to educational institutions that use these platforms to offer E-learning content and match future trends. This study will help researchers in understanding the new dimensions in the field of E-learning.

The current study uses bibliometric analysis to examine the association between E-learning, higher education and COVID-19. It aids in the identification of new difficulties within the complex and expanding study fields in the world of E-learning. Newly published studies on E-learning trends can improve understanding and bridge the knowledge gap. As a result, recommendations can be made to improve and implement newer strategies in field of education.

Call it the curse, the myth, the legend, the dacoits, the flora and fauna, the River, and the valley remains untouched and pristine and is home to many endemic species and is blessed with stark but beautiful landscape, the surreal world of an era gone by, the ravage of the ravines, which have been preserved, protected, and conserved, albeit for the ‘ancient curses,’ and yes being a home to the ‘dreaded outlaws’ and ‘modern dacoits.’ Whether it was the fear for one’s life considering it was a dacoit area or also known as ‘gun powder area,’ or the curses that none wanted to garner to themselves, Chambal is slowly but steadily ebbing out of the dark shadows that it once was. The river itself passes through Madhya Pradesh, Rajasthan, and Uttar Pradesh, before joining the river Yamuna. Declared a Protected Area (PA) in 1978, the nomenclature of dark tourism will be ubiquitous to the Chambal River valley, considering that the area is dotted by a multitude of forts, and heritage destinations, that have frozen in the sands of time; either on account of the stories that meander, as the river does, with its deep ravines, ravines that invite the adventurer. It is the last bastion for the nation’s endangered wildlife, viz., Gharial, Maggar, Turtles, Otter, and the fresh water Dolphin, which has encouraged the Government to get the local community to be part of the special purpose vehicle promoting tourism. The authors known for their contribution to community-based ecotourism (CBE) have visited the Chambal area and worked with the communities and bureaucracy to ensure conclusions.