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The purpose of this study is to see if market timing predicts the first reporting of earnings performance after the issue, i.e. the issue-year earnings performance. Furthermore, this study examines the behaviour of financial and non-financial issuers’ performance in the light of varied market timings.

This study focuses on 785 NSE-listed initial public offerings that took place between April 2010 and December 2021. This study evaluates market timing by using moving averages. Using multiple regression analysis, the research further investigates the impact of market timing on issue-year earnings performance for financial and non-financial issuers on the basis of an interaction (moderation) effect.

This study finds that there is a significant presence of market timing in India, which predicts issue-year earnings performance. This study also demonstrates that hot market issuers’ performance is heavily influenced by market timing for non-financial issuers only. However, financial companies are not influenced by market timing.

The findings of this study will assist the potential investors, analysts and stakeholders about performance of public issuers in India. Lower earnings performance for hot market non-financial issuers implies that the issuers’ market performance may not be supported by earnings figures. A market performance that is not synchronous with earnings will not last long. The findings of this study hold implications to the regulators as well to keep an eye on issuers’ earnings performance alongside the stock performance. Apart from that, the observations in context of financial and non-financial issuers provide insight about the variation in performance of public issues on the basis of background.

To the best of the authors’ knowledge, this is the only study to examine earnings performance in the context of market timing in India. This study holds significance in terms of methodology for anticipating the presence of market timing and the study of interaction effects. Moreover, it is one of the few studies that has focused on comparing financial and non-financial issuers around the world.

In keeping with global developments rendering online shopping as an emerging trend among consumers, the present study extends the unified theory of use and acceptance of technology (UTAUT2) comprising the digital payment mode (DPM) as a new driver of online shopping and with the mediation of attitudes toward technology (ATTs) to gauge a better and deeper understanding of behavioral intention (BI).

This study used a survey instrument with snowball sampling from 600 consumers in northern India. Partial least squares structural equation modeling was used to find the association between drivers using UTUAT2, along with DPM and ATTs. The data were divided into a test group (20%) and validated through a training group (80%).

DPM was shown to be directly associated with BI. The mediation of ATTs was also validated through the model. The predictability of the model was 67.5% for the test group (20%) and 69.6% for the training group (80%). The results also indicated that facilitating conditions is a critical driver of BI.

This study enhances the understanding of the roles that DPM and ATTs play in BI during online shopping, suggesting that Indian managers need to adopt DPM as a support service to make online shopping a worthwhile experience.

This study aims to delve into the intricate world of small retailers in India, seeking to understand the impediments/barriers they encounter when trying to embrace online-to-offline (O2O) platforms. It also investigates the potential impact of the digital ecosystem in moderating these barriers.

Data from 426 Indian retailers was collected, and structural equation modelling was used to validate the conceptual framework.

The findings highlight the importance of addressing distrust and technological anxiety as key barriers to O2O platform adoption. Psychological risk, low-tech orientation, privacy risk, financial risk and social risk were also identified as barriers. Interestingly, performance risk and infrastructure were found to be insignificant in this study. The study indicates that the digital ecosystem does moderate the relationship between psychological risk, performance risk, distrust and technological anxiety with attitude.

This research holds significant implications for technology adoption, retail management and aggregator platform development in developing nations, notably India. This research draws upon a conceptual framework to deepen the understanding of the O2O technology platform by providing an all-inclusive overview.

This study breaks new ground by investigating the distinctive obstacles to O2O adoption faced by small retailers in India. By validating the digital ecosystem’s moderating effect, this research yields insights that are context-specific and particularly relevant to the Indian retail landscape. Valuable guidance is offered for researchers, practitioners and policymakers navigating O2O strategy implementation in emerging markets.

Because the success of m-payment services depends on the enablers and barriers that affect user satisfaction, the present research explores the effects of perceived value and sacrifices on users' satisfaction with m-payment services. The predicted relationships among perceived value, perceived sacrifices, users' satisfaction, continuance intention, word-of-mouth (WOM), shopping effectiveness, quality of life (QOL) and stickiness were established based on the mobile technology acceptance model (MTAM) and the value-based adoption model (VAM).

A representative data sample of 430 Egyptian banking clients was analyzed to test the hypotheses using partial least squares-structural equation modeling (PLS-SEM).

The findings revealed that all perceived value constructs significantly positively affect users' satisfaction. Moreover, all perceived sacrifice constructs significantly negatively affect users' satisfaction. Users' satisfaction, in turn, has a significant positive effect on continuance intention, WOM, shopping effectiveness, QOL and stickiness with m-payment services.

This is the first study to examine several levels of m-payment outcomes, including m-payment, consumer and bank outcomes, based on the integration of MTAM and VAM models.

A shared set of moral standards, ethical principles and behavioral norms of social structure can be referred to as culture. Many health problems are strongly influenced by one’s cultural background. The purpose of the paper is to examine the scientific explanation of indigenous norms and practice of health healing.

This qualitative study considered in-person interviews to know the Tribals’ indigenous healing practice in Bangladesh. A focus group discussion with five tribal students was conducted to form a baseline on Tribals’ norms, rituals and information-sharing behavior. Around 35 tribal students were interviewed to find out their healing practices, norms and rituals on health issues. All these practicing indigenous knowledge were documented instantly. Peer-reviewed scientific papers from renowned databases were searched to have scientific evidence on each case. All the studies having negative or positive evidence were mentioned with each case.

The findings showed more indigenous knowledge with scientific disagreements on health aspects among the Tribals’ health practice in Bangladesh. However, the positive impact of such knowledge is not negligible. Therefore, showcasing the scientific tribals’ indigenous knowledge to a global audience is a strong recommendation.

Health and health care-seeking behavior among the tribal population in Bangladesh is not a new area of research, few studies have focused on the context, reasons and choices in patterns of health care-seeking behavior; obstacles and challenges faced in accessing health-care provision in the tribal areas in the country. However, research attempts to show the relationship between ecological knowledge and scientific indication is new in nature.

The purpose of this study is to identify the structural determinants of e-returns service interactions, examine their impact on online shoppers' loyalty and propose returns service interventions from an interactive marketing perspective to facilitate consumer interaction and repeat purchase intentions with e-retailers.

This study empirically tests the research hypotheses based on cross-sectional survey data collected from Chinese online consumers who experienced interactions during the product returns process.

E-return service interaction includes three determinants: access support, friendly interaction and communication support. These interactions positively impact ease of return, returns satisfaction and customer loyalty. Returns satisfaction is a key mediator in the relationship between return service interaction and loyalty. Access support and friendly interaction have both direct and indirect effects on loyalty, while communication support has only an indirect effect.

This study contributes to understanding e-returns service interaction by analyzing its structural determinants, providing a robust scale foundation and analytical framework for future empirical research. Additionally, this study explores the driving role of e-returns service interaction in forming e-customer loyalty, offering a theoretical basis for the service recovery function of e-returns service interaction. It enriches the application of service recovery theory and relationship marketing theory in the field of interactive marketing.

Despite significant advances in previous work, there are still gaps in the research on customers' acceptance of virtual fitting rooms (VFRs). This research aims to highlight the effects of the characteristics of VFRs on the intention to use.

Fashionable clothing shoppers in Harmony Shopping Plaza and Ginza Shopping Plaza in Jinan, China, were chosen as the main sample. A total of 304 valid questionnaires were collected using a questionnaire QR code, which was scanned to access the questionnaire. Structural equation modeling was used to test the relevant hypotheses.

The results showed that customers' usage intention (UI) was positively associated with perceived efficiency, design and perceived security. Furthermore, the mediating effects of perceived ease of use and perceived usefulness were significant between design, vividness and UI.

In contrast to existing research, which focuses primarily on the posterior effects of psychological perception and behavior, this paper focuses on the antecedents of customer psychological perceptions. This study also examines the moderating effect of fashion consciousness, which also provides reference value for future research. The findings of this paper provide practical guidance for the promotion of VFRs.

This paper aims to analyze variations in the parameters of the market share–rank power law across consumer packaged goods (CPG) categories.

The authors use a two-level hierarchical linear model to examine the relationships between category-level variables and the parameters of the market share–rank power law in 790 CPG categories.

The slope of the market share–rank power law is shallower – indicating more equal market shares – in categories of high importance to retailers and those with high levels of promotional activity or high-volume purchases. Higher levels of market share inequality are associated with categories with high overall prices.

To the best of the authors’ knowledge, this is the first research to show the systematic influence of category characteristics on the relationship between brands’ market shares and their ranks, thus, identifying a key moderator for this important empirical generalization in marketing.

While market leadership may be a desirable goal for many brands, the corresponding market share at the top brand does vary. Moreover, the share premium for being number one in the category (gap between the top and other highly ranked brands) can be greatly affected by retailers’ strategies. In addition, the slope of the power law has desirable qualities as a measure of market concentration. However, the empirical study shows that category characteristics must be considered when analyzing differences in concentration across categories or time.

While other studies document variations in the market share–rank power law relationship, to the best of the authors’ knowledge, this is the first that models these variations as a function of observable category characteristics. The comprehensive nature of the data demonstrates the universality of the market share–rank power law relationship across CPG categories in the USA.

This study aims to examine living preference and tenure among millennials, with a particular focus on the impact of ethnic and cultural diversity on housing outcomes including observed homeownership inequalities.

Using the individual panel data from three waves in American Housing Survey, 2015–2019, this study compares the likelihood of co-residing among Asian and Hispanic millennials with non-Hispanic white millennial peers. Furthermore, this study estimates the effect of co-residence on homeownership across generational and ethnic backgrounds.

This study finds a preference for coresident adult familial households among foreign-born Asian and Hispanic millennials, and US-born Hispanic millennials when compared to their non-Hispanic white millennial peers. The results are robust after considering neighborhood selection bias, affordability and education. The effect of co-residence on ownership is significant and positive, suggesting this living arrangement contributes to homeownership across all generational and ethnic groups.

Housebuilders should be aware of Asian and Hispanic millennials’ increased appetite for extended family living arrangements and consider increasing the physical size of affordable or workforce-oriented rental housing and new single family construction to accommodate more adult co-living arrangements.

This study provides a more comprehensive understanding of the role ethnic and cultural diversity has on millennial adult living preferences and its generational differences, which is not just “boomeranging” as identified by previous literature, contributing to the growing interest in the housing research on the effect of ethnic diversity and culture on millennials’ homeownership rates.

Strategic integration of enablers and the realization of drone delivery benefits emerge as essential strategies for business organizations to enhance operational efficiency and stay competitive in last-mile logistics. This paper aims to explore the benefits of drone-based last-mile delivery in the Indian logistic sector by providing a framework for ranking drone delivery benefits (DDBs) due to the adoption of its enablers.

This study proposes a novel hybrid framework applied in the Indian logistic sector by integrating a sentence boundary extraction algorithm for extracting benefits from literature, a spherical fuzzy analytical hierarchy process (SF-AHP) for evaluating primary enablers, unsupervised fuzzy C-means clustering (FCM) for clustering benefits and a spherical combined compromised solution (SF-CoCoSo) for ranking benefits with respect to primary enablers.

The results reveal that technological and infrastructure enablers (TIE), government and legislation enablers (GLE) and operational and service quality enablers (OSE) are the most significant enablers for drone implementation in logistics. Top-ranked benefits increase the efficiency of last-mile delivery (DDB10), foster supply chain management and logistic sustainability (DDB16) and increase delivery access to rural area and vulnerable people (DDB17).

This research assists scholars, entrepreneurs and policymakers in the sustainable deployment of drone delivery in the logistics sector. This study facilitates the use of drones in delivery services and provides a foundation for all stakeholders in logistics.

The assessments involve considering judgment from a highly knowledgeable and experienced group in India, characterized by a large volume of inputs and a high level of expertise.