Search results

The purpose of this study is to provide a review of the existing research landscape on work-life balance and women’s career motivation. It examines the relationship between work-life balance and career motivation in the context of Indian women. Specifically, it explores how the work-life balance of women influences the motivational aspects of their careers.

The research uses a systematic literature review to identify and analyze relevant literature on work-life balance and women’s career motivation among Indian women from the Scopus database.

The study uncovers critical insights into the connection between work-life balance and women’s career decisions. It gives insight on how work-life balance significantly impacts women’s career choices. The SLR reveals a notable and consistent upward trend in the domains of work-life balance and career motivation among women.

The findings of this study can inform organizations in tailoring policies that foster women’s career growth while simultaneously supporting a healthy work-life balance. In addition, the research can empower women to make informed decisions about their careers and personal lives. Ultimately, it contributes to creating a more inclusive and gender-equitable work environment, promoting both women’s career aspirations and their overall well-being.

This research stands out in its examination of the relationship between work-life balance and women’s career motivation, particularly in the unique context of Indian women. While previous studies have explored these topics individually, this research bridges the gap by investigating their interplay. Moreover, the application of a systematic literature review approach to these variables in the context of Indian women represents a novel contribution.

Impulsive buyers are a dream segment for retailers and marketers. Stimulants in the retail environment and cognitive aspects evoke a sudden urge the acquisition of products spontaneously. This paper aims to examine key cognitive aspects of impulsive buying behaviour and purchase regret in an online context.

An online survey was conducted to collect the data of 317 online consumers with the help of a convenience sampling technique. The structural equation modelling technique was carried out to establish the validity and reliability of measures and examine the proposed relational paths.

The study results suggest that cognitive aspects recede impulsive buying, resulting in purchase regret. The empirical findings on the impulsive buying behaviour and purchase regret to yield several important implications, including developing marketing strategies and policies to evoke the intentions for impulsive buying behaviour, consumer innovation and balancing the feelings of regret.

The study also provides some significant contributions to the literature on online impulse buying and its related paradigms.

This study mainly attempted to determine the precursors of online impulse buying and purchase regret from the perspective of hedonic and experiential consumption motivation and consumer innovation. Getting reflections from cognitive dissonance theory and the post purchase evaluation, a theoretical model was developed and empirically tested for impulsive online buyers.

Mass customization is a production process that allows consumers to customize products from an array of options to suit their preferences and needs and benefit from large-scale production efficiencies. In recent years, several apparel retailers have integrated customization into their online presence. While the benefits of online apparel mass customization (OAMC) are apparent, factors that determine the usage of the process are many. Therefore, it is important to explore these factors and understand the relationships between them and the impact on the intention to use OAMC.

A review of studies published in the last decade was conducted through the Scopus, Web of Science and JSTOR databases in September 2023. Peer-reviewed research articles published in the English language were included. These studies were carried out in the United States of America, Canada, Korea and China and addressed motivations and antecedents of OAMC technology.

The data were extracted, and the findings were synthesized. The review process enabled us to examine several theories and determinants of OAMC. The latter were categorized into the following themes: “consumer personality and psychology”, “consumer perceptions”, “consumer behaviour determinants” and “process, experience and product”. The influence of consumer personality traits, psychogenic needs, characteristics and other facilitating conditions emerged through the review.

The purpose of this paper is to study the various determinants of OAMC and thereby provide valuable information to businesses in OAMC domains to improve customized processes, understand consumers' motivations and develop marketing strategies that improve overall satisfaction with OAMC.

The flagship traceability technology is increasing transparency, social benefit and economic value particularly after the pandemic. There has not been much research on how information quality in transparency affects information usefulness and trust. The research model is built on the framework of transparency requirements and incorporates the usefulness of traceability information and trust.

Questionnaire survey was used for data collection. To evaluate the research model, structural equation modeling (SEM) was employed. Measurement invariance analysis was used to investigate variations in trust between groups.

The results show that transparency requirements including information relevancy, ease of manipulation and value-added information affect information usefulness. The usefulness of traceability information positively affects trust in producers. Information receivers who believe in the credibility of traceability information have a higher level of trust than those who do not.

The results have important theoretical and practical implications for academia and industry to devise strategies and policies on data-centric traceability systems.

The purpose of this paper is to investigate the effectiveness of TikTok, a popular short-form video marketing platform, on purchase intention for cosmetics among Generation Z consumers in Singapore.

A quantitative survey was conducted using a convenience sampling method, with a sample of 136 responses. This study examined the influence of various characteristics of TikTok influencers, such as trustworthiness, expertise, attractiveness and entertainment content, on purchase intention.

This study found that trustworthiness and expertise of influencers, as well as entertainment content, had a significant positive impact on purchase intention. In addition, this study also found that influencer attractiveness and brand anthropomorphism were also significant factors influencing purchase intention. Thise study highlights the importance of the entertainment value, which is in line with the nature of TikTok as a medium.

This study contributes to the limited literature on the effectiveness of TikTok on purchase intention in Singapore, specifically in the cosmetics industry.

The purpose of this study was to test the moderating effects of positive thinking (PT) on the relationship between job stress (JS) and turnover intention (TI).

The study was based on a questionnaire distributed among 275 employees at a convenience store business. The validity and reliability of the questionnaire were tested before the data were collected, and hierarchical regression analysis was used to test the moderating effects.

JS had negative effects on employee TI with statistical significance, while PT functioned to moderate the relationship between JS and employee TI with statistical significance.

The moderating effects of PT among employees in the convenience store business were explained clearly. This research supports and expands the broaden-and-build theory in explaining the effects of PT or attitudes to help employees cope with problems and obstacles, create new things and perceive problems as challenges to be overcome.

Managers with an awareness of PT can help employees lower JS, increase organizational commitment and improve employees' PT to reduce the turnover rate.

This study contributes to the literature about organizational behavior and human resource management in dealing with job turnover by clarifying the moderating effects of PT on the relationship between JS and TI.

Population ageing is a demographic transition and burdens every country’s health sector. A lack of social security combined with low government health-sector spending has made health-care utilisation difficult among elderly in many developing countries like India. This makes population ageing a global phenomenon for policymakers, researchers and stakeholders to discuss and debate in 21st century. The purpose of this paper is to examine the behavioural determinants of health-care utilisation among elderly population in Punjab.

This study examines health-care utilisation among the elderly population in Punjab. A structured questionnaire was used to collect the data in the state of Punjab, with a multi-stage stratified random sample of 385 respondents. Logit regression was used to analyse the association between several behavioural factors like age, gender, place of residence, source of livelihood, education and frequency of visits with health-care utilisation among elderly aged 60 and above.

This study revealed that gender, age, place of residence, source of livelihood, education and frequency of visits were significant determinants of health-care utilisation among elderly population.

This study directs the need to improve health-care utilisation in a country, reducing inequalities that exist among the elderly population with respect to socio-economic and demographic differences.

We study the demand for skills by using text analysis methods on job descriptions in a large volume of ads posted on an online Indian job portal. We make use of domain-specific unlabeled data to obtain word vector representations (i.e., word embeddings) and discuss how these can be leveraged for labor market research. We start by carrying out a data-driven categorization of required skill words and construct gender associations of different skill categories using word embeddings. Next, we examine how different required skill categories correlate with log posted wages as well as explore how skills demand varies with firm size. We find that female skills are associated with lower posted wages, potentially contributing to observed gender wage gaps. We also find that large firms require a more extensive range of skills, implying that complementarity between female and male skills is greater among these firms.

The purpose of this paper is to develop optimal estimation procedures for the stress-strength reliability (SSR) parameter R = P(X > Y) of an inverse Pareto distribution (IPD).

We estimate the SSR parameter R = P(X > Y) of the IPD under the minimum risk and bounded risk point estimation problems, where X and Y are strength and stress variables, respectively. The total loss function considered is a combination of estimation error (squared error) and cost, utilizing which we minimize the associated risk in order to estimate the reliability parameter. As no fixed-sample technique can be used to solve the proposed point estimation problems, we propose some “cost and time efficient” adaptive sampling techniques (two-stage and purely sequential sampling methods) to tackle them.

We state important results based on the proposed sampling methodologies. These include estimations of the expected sample size, standard deviation (SD) and mean square error (MSE) of the terminal estimator of reliability parameters. The theoretical values of reliability parameters and the associated sample size and risk functions are well supported by exhaustive simulation analyses. The applicability of our suggested methodology is further corroborated by a real dataset based on insurance claims.

This study will be useful for scenarios where various logistical concerns are involved in the reliability analysis. The methodologies proposed in this study can reduce the number of sampling operations substantially and save time and cost to a great extent.