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Extant research suggests that consumers value the pursuit, attainment and retention of income security and financial well-being (FWB). The authors aim to expand the relevant literature by examining how consumers' psychosocial characteristics affect and are affected by the pursuit of those objectives.

The authors utilize partial least squares structural equation modeling (PLS-SEM) to evaluate the authors' hypotheses based on a sample of USA and Canadian consumers (n = 619).

The authors' PLS-SEM results provide support for the authors' hypotheses, indicating that individuals' insecure attachments – anxious and avoidant – relate negatively to their income security and FWB. The authors' results also show that these two desirable states relate positively to individuals' undesirable state of social loneliness.

The authors' methodology and findings illuminate the positioning of psychosocial factors as antecedents to and outcomes of income security and FWB. This research also provides a basis for understanding the linear vs curvilinear influences of income security on an individual’s social life.

In the present empirical study, the authors present a rare empirical examination of individuals' income security and FWB as outcomes of their psychosocial profile vis-à-vis insecure attachments. Drawing on established psychometric scales, this study expands the consumer psychology and FWB literature, showing significant linkages between insecure attachments, income security, FWB and social loneliness.

This study analyses the role of individuals' objective financial knowledge in shaping preferences for ethical intermediaries and sustainable investments in Italy. Another goal of this study is to assess the impact of individuals' misperceptions about their own financial knowledge and to test for gender-related differences in attitudes towards socially responsible investing (SRI).

Using nationally representative microdata from the Bank of Italy’s “Italian Literacy and Financial Competence Survey” (IACOFI), the authors use probit models, extended to account for potential endogeneity issues, to assess the causal effects of financial knowledge and confidence on stated preferences for SRI. Empirical models also allow to explicitly assess the moderating role of gender on the effects of financial knowledge and confidence on attitudes towards sustainable investing.

Results indicate that individuals' preferences for sustainable finance significantly increase with financial knowledge, suggesting that inadequate financial competencies represent a barrier to participation in SRI. At the same time, lack of confidence in one’s own financial knowledge significantly hampers attitudes towards sustainable investments. Furthermore, the authors show that women have a greater preference for sustainable finance than men and point out that financial knowledge and confidence exert heterogenous effects on attitudes towards SRI.

This study provides several contributions to the literature on SRI. First, the authors give evidence of the causal effect of financial knowledge on preferences for both ethical financial intermediaries and sustainable investments. Moreover, this is the first study to investigate the role of financial underconfidence bias in shaping individuals' SRI attitudes. Finally, extending previous research, the authors assess differences in SRI preferences between women and men and provide novel evidence on gender-related heterogeneity in the effects of financial knowledge and underconfidence.

The purpose of this study was to investigate how to generate innovative work behaviors among Millennial and Generation Z sport employees and its impact on their career satisfaction and psychological well-being.

The authors used structural equation modeling to examine the relationships among predictors of job engagement, innovative work behaviors, career satisfaction and psychological well-being. The model was tested across managerial sport employees of Division I athletics departments (N = 224).

The highlights of the study include job engagement's positive relationship with innovative work behaviors and the positive influence of innovative work behavior on career satisfaction and psychological well-being.

These findings signify the importance of considering job engagement and innovative work behaviors to develop a positive work experience for Millennial and Generation Z sport employees. Doing so is thought to be a critical step in cultivating an organizational competitive advantage via younger generations of sport employees.

Energy-related financial literacy (ERFL) which consists of energy literacy, financial literacy and lifecycle cost literacy, can play an instrumental role in addressing climate change by ensuring efficient energy consumption (macro level benefit) and promoting financial well-being (micro level benefit) of households. This study aims to highlight the ERFL level and its effect on the energy consumption of the sample households in the state of West Bengal, India.

The study used primary data on 155 sample households from the two districts, i.e. Hooghly and North 24 Parganas in West Bengal, India, surveyed from September 2022 to November 2022 using a structured questionnaire. The study used the conceptual framework suggested by Blasch et al. (2018) to measure the ERFL. Pertinent statistical techniques and the ordinary least square regression method were used to attain the objectives of the study.

The outcome of the study showed that the average ERFL score was found to be moderate (63%). The findings of the study also indicated that the ERFL exerts a positive influence on reducing energy consumption among the sample households in India.

There is a dearth of research studies on the topic of ERFL around the globe. The very few studies so far conducted are mostly in the context of European economies and Nepal. Perhaps, to the best of the our knowledge, this is the first study on the issue of ERFL in the Indian context. Therefore, the present study will make an original contribution to the small but growing scholarship on ERFL.

This paper seeks to demonstrate the value of using social media to capture fashion trends, including the popularity of specific features of clothing, in order to improve the speed and accuracy of supply chain response in the era of fast fashion.

This study examines the role that text mining can play to improve trend recognition in the fashion industry. Researchers used n-gram analysis to design a social media trend detection tool referred to here as the Twitter Trend Tool (3Ts). This tool was applied to a Twitter dataset to identify trends whose validity was then checked against Google Trends.

The results suggest that Twitter data are trend representative and can be used to identify the apparel features that are most in demand in near real time.

The 3Ts introduced in this research contributes to the field of fashion analytics by offering a novel method for employing big data from social media to identify consumer preferences in fashion elements and analyzes consumer preferences to improve demand planning.

The 3Ts improves forecasting models and helps inform marketing campaigns in the apparel retail industry, especially in fast fashion.

The case was written from secondary materials.

This case is designed to support learning objectives in a Human Relations class of a university management course. The case explores how the UK Metropolitan police, working with the Girls’ Network, piloted a reverse mentoring programme for six months in 2021. Three senior officers were mentored by a trio of teenage girls from disadvantaged London boroughs. The aim of the programme was to address falling trust in the police by creating more understanding and empathy in the mentees for the issues facing the communities where the mentors lived, and to give the mentors more confidence from the experience of representing their communities. Each mentor–mentee pair focused on a specific policing issue that was relevant to the mentor’s neighbourhood: knife crime, domestic abuse or social inequality. Through the process, the senior Met police officers gained a deeper understanding of the challenges in the communities they served. Now that the pilot had been completed, the Met faced a decision point. Should the programme be spread further through the Met?Through reading and discussing the case, students are expected to explore the importance of empathy in the workplace and how reverse mentoring, when having the right support and overall intent, could be used in organisations.

This case is appropriate for university management courses. This case has a difficulty level appropriate for undergraduate and postgraduate courses. This case could be incorporated into a unit on human behaviour, leadership or coaching.

Owing to highly volatile and chaotic external events, predicting future movements of cryptocurrencies is a challenging task. This paper advances a granular hybrid predictive modeling framework for predicting the future figures of Bitcoin (BTC), Litecoin (LTC), Ethereum (ETH), Stellar (XLM) and Tether (USDT) during normal and pandemic regimes.

Initially, the major temporal characteristics of the price series are examined. In the second stage, ensemble empirical mode decomposition (EEMD) and maximal overlap discrete wavelet transformation (MODWT) are used to decompose the original time series into two distinct sets of granular subseries. In the third stage, long- and short-term memory network (LSTM) and extreme gradient boosting (XGB) are applied to the decomposed subseries to estimate the initial forecasts. Lastly, sequential quadratic programming (SQP) is used to fetch the forecast by combining the initial forecasts.

Rigorous performance assessment and the outcome of the Diebold-Mariano’s pairwise statistical test demonstrate the efficacy of the suggested predictive framework. The framework yields commendable predictive performance during the COVID-19 pandemic timeline explicitly as well. Future trends of BTC and ETH are found to be relatively easier to predict, while USDT is relatively difficult to predict.

The robustness of the proposed framework can be leveraged for practical trading and managing investment in crypto market. Empirical properties of the temporal dynamics of chosen cryptocurrencies provide deeper insights.

In a recent report the author wrote about a service user, the author was challenged by the service user’s advocate in respect of the author’s use of the term “sexual fetish”. The author was informed of the advocate’s fears in respect of people involved in the service user’s future care and support needs feeling uncomfortable and possibly stigmatising someone having a sexual fetish. Consequently, the author was asked to change their wording from “sexual fetish” to “sensory need”. The purpose of this study/paper aims to highlight best practice regarding the most appropriate wording for individuals with sexual fetishes.

A review of the available evidence was ascertained.

A review of British Psychological Society guidelines and recent research highlights that what were once called “perversions” must be destigmatised, which will not be achieved if people continue to sweep the term fetish under the metaphorical carpet.

It is the author’s sincere hope that use of the term “sexual fetish” embraces and normalises people’s sexual fetish and results in heightened awareness and de-stigmatisation of what is essentially a reference to an element of the wonderful and pleasurable world of sexual behaviour.

The study examined the influence of slums on policies affecting the slums' lives in Ghana.

An exploratory qualitative approach based on in-depth interviews (IDIs) was used to select 24 respondents using purposive and snowball sampling techniques.

The findings show that slum dwellers have an adequate understanding of policies that affect the dwellers' lives. Furthermore, slum dwellers use statutory, technological, media and right-to-vote-based strategies to influence government policies. This also indicates that implemented policies do not align with realities in the slums

The outcome of this study cannot be generalised to represent the whole population of slums due to the inherent limitations associated with a qualitative design

This study uncovers context-specific strategies through which slum residents influence policies. The study concedes that policy actors involve the slums in policies that affect their livelihoods

The results are unique not only to developing countries, but are also useful to other economies with similar characteristics.