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The ten‐item Inventory of Polychronic Values (IPV), a psychometric measure of polychronicity (the extent to which people in a culture prefer to be engaged in two or more tasks or events simultaneously and believe their preference is the best way to do things), was developed using data from 11 samples (N = 2,190) collected from bank employees, undergraduate students, hospital personnel, dentists and their staffs, and state agency managers. Principal components, alpha, correlation, and confirmatory factor analyses supported the IPV in its internal consistency, test‐retest reliability, content adequacy, construct validity (both discriminant and convergent), and nomological validity.

We use Canadian data to examine the help‐seeking strategies of women dealing with the consequences of violent victimization. Consideration of the help‐seeking strategies of victimsmay provide insight into other decision‐making processes. The analytic framework integrates research on police reporting and intimate partner violence with the wider help‐seeking literature. This integration allows for an examination of the effect of the victim’s relationship to her offender on decisions to seek help from family, friends, doctors, social service agencies and the police. The research has two objectives. First, we aim to determine whether help‐seeking exists as isolated choices or whether there is a discernable set of help‐seeking strategies used by crime victims. Although many victims do not call the police, they often rely on family, friends, social service and mental health interventions.We find that those victims who report their victimizations to the police also seek support from family and friends. Second, we examine the correlates of these help‐seeking decisions. In doing so, we explore the effects of the offender relationship on decisions to seek help. We explore differences in help‐seeking across attacks by strangers, spousal offenders, dating offenders, and other known offenders. Our findings suggest that women victimized by a spousal offender are more likely than others to use a substantial help‐seeking strategy that includes disclosure to the police, doctors and social service agencies.

The study of psychological anthropology represents the interworkings of the theories, concepts, empirical findings, and methodologies of psychology and anthropology. This discussion of resources is written from the point of view of an anthropologist, not a psychologist. The psychologists have a related, though not identical, discipline called cross‐cultural psychology. As no scholar nor group of scholars can afford to live in a void, we find the works of members of both disciplines appearing in the same publications. This fact will be evident in the description of resources to follow.

The purpose of this paper is to provide an update on various methodological issues and statistical techniques pertinent to the conflict management literature. First, issues related to use of laboratory studies, college students, and the study situation are reviewed. Second, two recent innovative statistical techniques, meta‐analysis and confirmatory modeling are described and potential applications in the conflict management field are given.

Nowadays there are many digital tools and mediatised ways for self-tracking for the sake of gaining self-knowledge through numbers. In his recent book ‘Resonance’, Hartmut Rosa suggests that artefacts can indeed resonate with people (Rosa, 2016, p. 381ff.) by affecting emotion, intrinsic interests and self-efficacy expectations. In contrast, Rosa characterises self-tracking as an attempt to measure the resource potential of individuals, confounding it with the good life itself (Rosa, 2016, p. 47). That is why we want to challenge Rosa’s concept of a good life and enhance the assertion of individual and social practices that can generate resonance.

With several case studies, we want to study empirically how people ‘resonate’ (or not) with and in self-tracking practices and to which degree Rosa’s hypothesis is verifiable or not. By empirically contrasting the quantifying practices and metric culture of self-tracking with the recently emerging sociological field of ‘world relationships’ and ‘resonance’, new insights on the embedding of the quantified with the qualified self will be gained.

Recently, the importance and effectiveness of Wikipedia Mining has been shown in several researches. One popular research area on Wikipedia Mining focuses on semantic relatedness measurement, and research in this area has shown that Wikipedia can be used for semantic relatedness measurement. However, previous methods are facing two problems; accuracy and scalability. To solve these problems, the purpose of this paper is to propose an efficient semantic relatedness measurement method that leverages global statistical information of Wikipedia. Furthermore, a new test collection is constructed based on Wikipedia concepts for evaluating semantic relatedness measurement methods.

The authors' approach leverages global statistical information of the whole Wikipedia to compute semantic relatedness among concepts (disambiguated terms) by analyzing co‐occurrences of link pairs in all Wikipedia articles. In Wikipedia, an article represents a concept and a link to another article represents a semantic relation between these two concepts. Thus, the co‐occurrence of a link pair indicates the relatedness of a concept pair. Furthermore, the authors propose an integration method with tfidf as an improved method to additionally leverage local information in an article. Besides, for constructing a new test collection, the authors select a large number of concepts from Wikipedia. The relatedness of these concepts is judged by human test subjects.

An experiment was conducted for evaluating calculation cost and accuracy of each method. The experimental results show that the calculation cost of this approach is very low compared to one of the previous methods and more accurate than all previous methods for computing semantic relatedness.

This is the first proposal of co‐occurrence analysis of Wikipedia links for semantic relatedness measurement. The authors show that this approach is effective to measure semantic relatedness among concepts regarding calculation cost and accuracy. The findings may be useful to researchers who are interested in knowledge extraction, as well as ontology researches.

This paper investigates the influence of blockchain technology on trust and transparency within supply chain management. While existing research suggests blockchain has revolutionary potential, real-world evidence remains limited. This study aims to bridge this gap.

The research relies on transaction cost analysis and principal-agent theory to develop a conceptual model. The model proposes how blockchain fosters trust and transparency, ultimately leading to a market-based governance model within supply chains. Five different blockchain applications were analyzed in a multi-case study through document reviews and expert interviews to test the model’s assumptions.

The study’s findings challenge initial assumptions. The complexity of blockchain networks and a reluctance to share information among participants hinder blockchain technology’s ability to increase trust and transparency. Consequently, the expected reduction in opportunism and uncertainties is not observed, and a market-based governance model fails to materialize. In practice, supply chain partners gravitate toward permissioned blockchains managed by established consortia. Acting as trusted third parties, these consortia assume control over network management, rendering blockchain essentially unnecessary.

This paper sheds light on the practical limitations of blockchain technology in revolutionizing supply chain management. While blockchain promises much, the findings suggest that established consortia currently play a more critical role in fostering trust and transparency within supply chains.

County Durham‐based paint manufacturer DeSoto Titanine has appointed Peter Fisk as chairman, in addition to his role as managing director.

Environmentally Responsible Behavior (ERB) refers to actions and practices aimed at minimizing negative environmental impact through conservation, waste reduction and sustainable practices driven by concern for environmental well-being. This study aims to explain the effect of environmental attitudes of hotel guests visiting green and non-green hotels on their ERB. In the research, hotels with different concepts were handled separately and a comparative analysis was made between both customer types.

The study was assessed using two separate models: one for green hotel guests and another for non-green hotel guests. Data were collected from 205 participants from green hotel guests in Turkiye and 206 participants from hotel guests visiting non-green hotels in Turkiye, using a survey form with a convenience sampling method. The hypotheses were analyzed with the structural equation model and multi-group analysis (MGA) in the Smart PLS statistical program.

The ecocentric attitude positively affects political and community activism but does not impact recycling, educational behavior, green consumerism or overall ERB. The technocentric attitude negatively influences recycling, educational behavior, green consumerism, community activism and ERB but does not negatively affect political activism. The dualcentric attitude positively impacts all ERB sub-dimensions. The multi-group analysis (MGA) revealed that dualcentric attitudes have a stronger influence on green consumerism, political activism and recycling behavior among green hotel guests compared to non-green hotel guests.

These findings directly impact hotel managers, underscoring the strategic significance of adopting and advocating green practices. Implementing environmentally friendly initiatives not only appeals to environmentally conscious consumers but also holds the potential to cultivate ERB among all guests. By integrating sustainability into marketing strategies, hotels can communicate their commitment to environmental stewardship, positively influencing guests’ environmental attitudes and behaviors.

The paper’s key contribution is its comparative analysis of ERB between guests at green and non-green hotels. It reveals how tourists’ environmental attitudes influence their hotel choices and behaviors, offering insights into sustainable tourism. Additionally, it explores the differences between ecocentric, technocentric and dualcentric attitudes, enhancing our understanding of how varying environmental concerns shape tourists’ behaviors and choices and contributing to the broader discussion on environmental psychology in tourism.