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This study aims to investigate the factors influencing consumer attitudes towards purchasing sustainable fashion. In particular, the authors examine the impact of self-transcendence and self-enhancement values on consumer attitudes towards purchasing sustainable fashion. The authors also examine the enablers (environmental concern, durability and fashion leadership) and barriers (fashion consciousness and price sensitivity) of sustainable fashion purchase behaviour.

The authors used a Web-based self-administered survey to collect data from 350 millennials. Partial least squares structural equation modelling was used to analyse data.

The findings indicate no substantial impact of self-transcendence values on attitudes towards sustainable fashion – while self-transcendence values exerted a notable effect on sustainable purchasing behaviour and environmental concerns. Furthermore, the results revealed no relationship between individuals’ attitudes towards sustainable fashion and their purchasing behaviour, whereas a strong relationship has been established between environmental concerns and attitudes towards sustainable fashion.

It provides empirical insights into factors that are pertinent in understating barriers and drivers of sustainable fashion behaviour among millennials.

This study uses the value-attitude-behaviour hierarchy to understand the purchase intentions of sustainable fashion, extending the range of sustainable consumption factors associated with attitudes and behaviour gaps.

In this article, the authors try to determine why and under what conditions consumers intend to buy green and what the consequences are. Relying on theories of reasoned action and theory of planned behaviour (TPB), the authors offer that the green purchase intention (GPI) is impressed by environmental and personality components. Provide statements about the determinants and key implications of such market identification.

Comparative analyses in education science have traditionally focused on the category of geographic location as the comparative unit. However, comparison may involve many other units of analysis, such as culture, politics, curricula, education systems, social phenomena, and other categories of the lives of societies. Still, categories are inseparably linked to one or several geographic locations. Comparative approaches are often also dictated by the availability heuristic. Studying geographic units as the foci of comparative research is a necessary step for comparative presentation of the topic. According to Bray and Thomas, a researcher must always seek preliminary insight in the geographic unit to be analyzed before making the comparison. In social science research, a unit of analysis relates to the main object of the research, as it answers the question of “who” or “what” is going to be analyzed. The most common units of analysis are people, groups, organizations, artifacts or phenomena, and social interactions. Ragin and Amoroso have noted that comparative methods can be used to explain the commonness or diversity of results. This paper shows how comparative research can be approached in ways that have not been discussed, grounded in the historically variable understanding of the very term “comparison.” They are, for example, The Ogden-Richards triangle, The Porphyrian Tree, Classification strategies – Mill’s Canons, The chaos of the world – the order of science, Weber’s ideal types, Raymond Boudon’s formula, and the Möbius strip in comparativism.

The aim of this chapter is to understand the policy liberties and constraints within which school headteachers, and teachers aspire to promote high-quality education for their pupils in private schools in Somalia in the context of conflict in the country. This chapter develops this understanding of headteachers particularly in low-cost primary private schools in Somalia. The analysis in this chapter is informed by Mumford et al.’s Skills Model, as this approach combines the notion of knowledge and abilities necessary for effective leadership. First, using interview data with headteachers, we critique how headteachers in private schools in Mogadishu, Somalia, lead and manage schools when there is a crisis and conflict surrounding them, by unpacking the concepts of leadership and management. Second, we shed light on how well they are prepared and developed professionally to manage in such a turbulent environment caused by the war in Somalia. Here, we consider the role of the Federal Ministry of Education in the level of support that headteachers get in enacting their education policy. Third, this chapter discusses the impact of such crises on the quality of education provision for local private schools. Finally, this chapter identifies lessons to be learnt through suggested recommendations for headteachers in leading and managing education in times of turbulence and conflict. Here, we pose a suggestion for headteachers to consider if glocalisation, as a phenomenon, may offer a way to resolve local crises with local solutions in providing high-quality education for their students.

Motivated by the significant role of uncertainty in affecting investment decisions and China's economic leadership in Asia, this paper investigates the predictive role of exposure to Chinese economic policy uncertainty at the individual stock level in large Asian markets.

We estimate the monthly uncertainty exposure (beta) for each stock and then employ the portfolio-level sorting analysis to investigate the relationship between the China’s uncertainty exposure and the future returns of major Asian markets over multiple trading horizons. The raw returns of the high-minus-low portfolios are then adjusted using conventional asset pricing models to investigate whether the relationship is explained by common risk factors. Finally, we check the robustness of the portfolio-level results through firm-level Fama and MacBeth (1973) regressions.

Applying portfolio-level sorting analysis, we reveal that exposure to Chinese uncertainty is negatively related to the future returns of large stocks over multiple trading horizons in Japan, Hong Kong and India. We discover this is unexplained by common risk factors, including market, size, value, profitability, investment and momentum, and is robust to the specification of stock-level Fama and MacBeth (1973) regressions.

Our analysis demonstrates the spillover effects of Chinese economic policy uncertainty across the region, provides evidence of China's emerging economic leadership, and offers trading strategies for managing uncertainty risks.

The findings of the study significantly improve our understanding of stock return predictability in Asian markets. Unlike previous studies, our results challenge the leading role of the US by providing a new intra-regional return predictor, namely, China’s uncertainty exposure. These results also evidence the continuing integration of the Asian economy and financial markets. However, contrary findings for some Asian markets point toward certain market-specific features. Compared with market-level research, our analysis provides deeper insights into the performance of individual stocks and is of particular importance to investors and other market participants.

The purpose of the study is to identify the soft skills and abilities that are crucial to success in the fields of operations management (OM) and supply chain management (SCM), using the O*NET database and the classification of a set of professional figures integrating values for task skills and abilities needed to operate successfully in these professions.

The study used the O*NET database to identify the soft skills and abilities required for success in OM and SCM industries. Correlation analysis was conducted to determine the tasks required for the job roles and their characteristics in terms of abilities and soft skills. ANOVA analysis was used to validate the findings. The study aims to help companies define specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the job position.

As a result of the work, a set of soft skills and abilities was defined that allow, through correlation analysis, to explain a large number of activities required to work in the operations and SCM (OSCM) environment.

The work is inherently affected by the database used for the professional figures mapped and the scores that are attributed within O*NET to the analyzed elements.

The information resulting from this study can help companies develop specific assessments and tests for the roles of OM and SCM to measure individual attitudes and correlate them with the requirements of the job position. The study aims to address the need to identify soft skills in the human sphere and determine which of them have the most significant impact on the OM and SCM professions.

The originality of this study lies in its approach to identify the set of soft skills and abilities that determine success in the OM and SCM industries. The study used the O*NET database to correlate the tasks required for specific job roles with their corresponding soft skills and abilities. Furthermore, the study used ANOVA analysis to validate the findings in other sectors mapped by the same database. The identified soft skills and abilities can help companies develop specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the requirements of the job position. In addressing the necessity for enhanced clarity in the domain of human factor, this study contributes to identifying key success factors. Subsequent research can further investigate their practical application within companies to formulate targeted growth strategies and make appropriate resource selections for vacant positions.