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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 research investigates how foreign tourists' revisit intentions are influenced by their local food consumption (LFC) value by emphasizing their attitude towards the local food and the corresponding destination food image. It will also reveal the foreign tourists' food consumption value and explore its influences on the destination's food image.

The data collection was performed from 433 foreign tourists who visited Delhi, India, using a structured survey instrument and chief constructs were measured as the first-order reflective variables. The 39 items associated with the LFC value underwent both exploratory and confirmatory evaluations. The authors employed partial least square structural equation modeling (PLS-SEM). The model's discriminant and convergent validity, consistency and overall fit were evaluated using confirmatory factor analysis (CFA).

The findings revealed that “tourists' attitudes and behaviors toward the local cuisine” had a significant and positive influence on their “intention to visit/revisit” and “intention to recommend”. Also, “destination food image” significantly and positively influenced the “intention of tourist to visit/revisit”; however, it negatively and insignificantly influenced the “intention of tourists to recommend”.

This research used five variables related to LFC—quality, health/nutrition, emotion, prestige and price—that impact tourists' attitudes and behaviors toward local foods in Delhi. However, in addition to these constructs, other factors or constructs may be involved that could affect the tourists' attitudes and behaviors. Future studies might explore and include these constructs to provide a more comprehensive image of Delhi's LFC value.

Understanding tourists' food-linked behaviors is critical for effective market conduct. However, the interrelations between travelers' destination food image, LFC value, their perceptions of the local cuisine and behavioral intentions are still unknown, and this will be one of the first attempts to discuss these behaviors.

This study seeks to determine the effect of sustainable practices on willingness to pay a price premium (WTPP) in the hotels and resorts in the Fiji islands. It will also assess how implementing these sustainable practices influences guest re-visit intentions.

A qualitative research technique was used which included in-depth interview sessions with ten Fijian resort managers and 15 hotel guests. The website of Etic Hotels was also used to gather data about the green practices provided by resorts and hotels. A non-random purposive sampling method was used to select respondents.

Results indicate that implementing sustainability practices has significantly and positively affected guest intentions to return to Fijian Hotels and resorts. The results also demonstrated that customers are willing to pay a higher price for the use of environmentally friendly practices in Fiji's hotels and resorts.

Though a few studies have been conducted examining the linkages between sustainable practices and the Fijian hotel industry, this article is a novel exploration of the use of sustainable practices in hotels and resorts and how they influence guest re-visit intentions and WTPP in Fiji Islands.

This case is in four parts, highlighting the crossroads at which the protagonist Savita finds herself in and the difficulties she faces in balancing her career aspirations with family responsibilities. A Fellow of Indian Institute of Management (IIM) Ahmedabad, Savita's dilemmas concern working in a prestigious management institute in Kolkata versus getting a job in Mumbai in order to psychologically and financially support her family and get married; joining her husband in China on his posting versus going to the US on a prestigious fellowship prioritizing her career, and finally, starting a family versus postponing the decision till the couple were together and reasonably settled in their respective careers.

Most of the literature on the design of accelerated life test (ALT) plan focus on a single system (subsystem) totally disregarding its internal configuration. Many a times it is not possible to identify the components that cause the system failure or that the cause can only be identified by a subset of its components resulting in a masked observation. The purpose of this paper is to deal with the planning of ramp-stress accelerated life testing for a high-reliability parallel system comprising two dependent components using masked failure data. Such a testing may prove to be useful in a twin-engine aircraft. A ramp-stress results when stress applied on the system increases linearly with time.

A parallel system with two dependent components is taken with dependency modeled by Gumbel-Hougaard copula. The stress-life relationship is modeled using inverse power law, and cumulative exposure model is assumed to model the effect of changing stress. The method of maximum likelihood is used for estimating design parameters. The optimal plan consists in finding optimal stress rate using D-optimality criterion.

The optimal plan consists in finding optimal stress rate using D-optimality criterion by minimizing the reciprocal of the determinant of Fisher information matrix. The proposed plan has been explained using a numerical example and carrying out a sensitivity analysis.

The model formulated can help reliability engineers obtain reliability estimates quickly of high-reliability products that are likely to last for several years.

Two key concepts in organizational behaviour research, employee engagement and organizational commitment are examined in this bibliometric analysis.

The Preferred Reporting Items for Systematic reviews and Meta-Analyses framework is used for the compilation of the papers, and the VOSviewer application with the SCOPUS database is used for bibliometric analysis. 387 authors wrote a total of 138 articles.

Through the examination of an extensive collection of scholarly articles, this research pinpoints significant patterns, noteworthy writers and recurring themes in the literature. The study helps to create better organizational practices by providing a roadmap for future research as well as a mapping of the current condition of the field.

The study is an original piece of work by the author with no conflict of interest with any party, person or organization.

This comprehensive study aims to take a punctilious approach intended to present qualitative and quantitative knowledge on the emerging concept of noise trading and identify the emerging themes associated with noise trading.

This study combines bibliometric and content analysis to review 350 publications from top-ranked journals published from 1986 to 2020.

The bibliometric and content analysis identified three major themes: the impact of noise traders on the functioning of the stock market, traits of noise traders and different proxies used to measure the impact of noise trading.

This study undertakes research papers related to the field of finance, published in peer-reviewed journals and that too in the English language.

This study shall accommodate rational traders, portfolio consultants and other investors to gain deeper insights into the functioning of noise traders. This will further help them to formulate their trading/investment strategies accordingly.

The successful combination of the bibliometric and content analysis revealed major gaps in the literature and provided future research directions.

The purpose of this paper is to design an optimal reliability acceptance sampling plan (RASP) using the Type-I generalized hybrid censoring scheme (GHCS) for non-repairable products sold under the general rebate warranty. A cost function approach is proposed for products having Weibull distributed lifetimes incorporating relevant costs.

For Weibull distributed product lifetimes, acceptance criterion introduced by Lieberman and Resnikoff (1955) is derived for Type-I GHCS. A cost function is formulated using expected warranty cost and other relevant cost components incorporating the acceptance criterion. The cost function is optimized following a constrained optimization approach to arrive at the optimum RASP. The constraint ensures that the producer's and the consumer's risks are maintained at agreed-upon levels.

Optimal solution using the above approach is obtained for Type-I GHCS. As a special case of Type-I GHCS, the proposed approach is also used to arrive at the optimal design for Type-I hybrid censoring scheme as shown in Chakrabarty et al. (2019). Observations regarding the change in optimal design and computational times between the two censoring schemes are noted. An extensive simulation study is performed to validate the model for finite sample sizes and the results obtained are found to be in strong agreement. In order to analyze the sensitivity of the optimal solution due to misspecification of parameter values and cost components, a well-designed sensitivity analysis is carried out using a real-life failure data set from Lawless (2003). Interesting observations are made regarding the change in optimal cost due to change in parameter values, the impact of warranty cost in optimal design and change in optimal design due to change in lot sizes.

The research presents an approach for designing optimal RASPs using Type-I generalized hybrid censoring. The study formulates optimum life test sampling plans by minimizing the average aggregate costs involved, which makes it valuable in dealing with real-life problems pertaining to product quality management.

The current study aims to analyze the mediating role of perceived risk from private label apparels in between the familiarity and consumer purchase intention (PI).

Exploratory factor analysis and structural equation modeling techniques were utilized for evaluating the relationship between different constructs. Participants were given the opportunity for expressing their degree of approval or disapproval using a series of statements using a five-point Likert scale. For the purpose of the survey, a total of 400 participants were selected.

The finding highlights the mediating role of perceived risk between familiarity and PI of consumers toward private label apparels. When there is a mediator, the direct influence of familiarity on PI is absorbed.

This research aims to offer an understanding of buyer preferences in developing markets as well as providing suggestions for retailers and marketers on how to successfully promote and position private label apparel in such an environment through investigating the importance of familiarity with private label apparel. While doing so, it develops the premise that familiarity with private label apparel directly impacts perceived risk while indirectly impacting PI of consumers towards private label apparel.