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Weather and climate have a strong impact on tourism. However, because meteorological forecast information is considered a public good, people often overlook its market value. This study uses the contingent valuation method (CVM) to evaluate the economic value of a stargazing forecast system and assessed whether such a system would increase the public's willingness to stargaze. The results demonstrate that the economic value of the proposed stargazing forecast system is NT$ 0.2–2.5 billion, and the total value was 0.27–3.5 billion when protest responses are excluded. In addition, a stargazing forecast system could increase the public's willingness to engage in stargazing, indicating that both the system and meteorological information have a tremendous nonmarket value. Accordingly, this study suggests that the government could develop a stargazing forecast system and partner with famous stargazing destinations to popularize stargazing to propel the growth of the tourism industry.

This study aims to analyze the distribution of novelty among scholarly papers in the field of library and information science (LIS) in China. Specifically, this study explores the distribution of novelty of papers in various journals, research topics and different periods. It is possible to understand the characteristics of LIS research in China and what factors have influenced it.

This paper collects articles published in Chinese library science journals indexed by the Chinese Social Sciences Citation Index from 2000 to 2022. The BERTopic model is used based on abstracts of the papers and to obtain the topic of each paper. Based on the combination innovation theory of reference pairs cited by focal papers, novelty scores of all papers are calculated. Next, this paper analyzes the novelty of papers under different topics. Finally, this paper analyzes the differences in author collaboration patterns across various topics, aiming to explain how these differences relate to the novelty of papers from a collaborative perspective.

This study shows that archival research topics have lower novelty than papers on journal evaluation and patent technology in Chinese LIS. Research papers in this field are gradually becoming more novel over time. Papers on different topics and with varying degrees of novelty exhibit distinct author collaboration patterns, with low-novelty topics more frequently featuring solo authorship, while high-novelty topics tend to involve a higher percentage of inter-institutional collaboration.

This study investigates the novelty characteristics of research papers on different topics in the field of LIS in China. The authors’ contribution includes visualizing research hotspots and trends in the field and analyzing authors’ collaboration patterns at the level of research topics, thereby providing new perspectives on the factors affecting the novelty of these papers.

The study aims to investigate consumer preferences across 25 attributes of plant-based milk (PBM) products and examine the key predictors and underlying mechanisms of consumer purchase decisions of PBM alternatives.

This study employed a multidimensional approach to investigate consumer preferences and the determinants of PBM purchasing decisions. Drawing on data from 819 online surveys conducted in the Jing-Jin-Ji region of China in 2021, we measured consumer preferences across 25 specific attributes and other individual characteristics. Purchasing decisions were framed as a two-stage process – the decision to purchase (frequency) and the decision on how much to pay (WTP). The Least Absolute Shrinkage and Selection Operator (LASSO) model was utilized to examine these dimensions separately, and the selected predictors were incorporated into OLS linear and Heckman’s two-stage regression analyses to establish the underlying mechanisms.

The findings indicate that consumers exhibit a strong preference for freshness and the absence of spoilage, followed by taste experiences such as taste and aroma. Preferences for milk preservation significantly increase the purchase frequency of PBM, while preference for calorie content has a negative and significant impact. Preferences for milk preservation, aroma and processing methods can also significantly increase WTP. Preferences vary across PBM categories. Social influence, knowledge and advertising exposure positively impact purchase frequency and WTP. Consumers with low food neophobia tend to be more responsive to product-related factors, such as freshness, calorie content and processing methods, in their purchase decisions.

This study contributes to the extant literature by comprehensively examining the determinants of consumer purchase decisions for PBM alternatives. The findings provide practical implications for marketers and policymakers, highlighting the strategic product attributes, consumer segments and marketing levers that can effectively target and cater to consumer preferences for PBM alternatives.

Autistic individuals are employed and access higher education opportunities at significantly lower rates than their nondisabled peers (US Bureau of Labor Statistics [BLS], 2023; Newman, 2015). Schools are an optimal setting for intervention as most individuals access the school setting. However, traditional support to facilitate postsecondary transition effectively, such as transition plans, is currently lacking (Greene, 2018; Hughes et al., 2023). The authors of the present chapter conducted a systematic review to identify school-based interventions available for autistic youth intended to support the transition from high school to higher education, entrepreneurship, and employment. The data extraction methods used by the authors identified 19 articles on interventions. Across all studies, the authors found variation in the extent to which researchers addressed entrepreneurial skills and identified two key skill development areas across different intervention modalities: employability skills and interpersonal communication skills. Based on these results, the authors discuss available school-based programming intended to prepare autistic youth for postsecondary careers and entrepreneurial opportunities and the implications of existing interventions for practitioners and researchers interested in improving outcomes for autistic students as they transition to the workplace, particularly entrepreneurial endeavors.

Hazing, a practice where existing group members subject newcomers to humiliation, embarrassment or abuse, is often perceived as either violent or harmless fun. Regardless of its nature, all forms of hazing carry a significant risk of harm. The dual-factor model of mental health provides a framework for understanding this harm. This model posits that mental health and mental illness, while related, are not identical. In other words, individuals need more than just the absence of mental illness to thrive; they also require positive mental health. This chapter seeks to apply the dual-factor model to the context of hazing. It will first introduce the model of mental health, followed by an exploration of how violent hazing can potentially lead to mental illness. It will also examine how hazing, even when perceived as harmless fun, can result in languishing mental health. This chapter will conclude with recommendations and strategies to foster safe and caring organisational environments. The goal is to create spaces where all members can participate and flourish without the fear of harm, thereby promoting both individual and collective well-being.

Interlocking directorates are a common phenomenon across several markets around the world. Yet, the institutional environment and the role of corporate elites in forming board networks promote some developing markets as a unique setting to understand the corporate boards network structure. This study aims to first explore the board directors’ network of all publicly listed companies in Kuwait. This paper then evaluates the effects of exogenous factors and endogenous network structural processes on the likelihood of board interlock.

This study analyzes the interlocks network structures of 167 listed companies in 13 different market sectors in Kuwait relying on hand-collected directors’ data and using four measures of network centrality: betweenness, degree, closeness and eigenvector. The authors predict board interlocks using exponential random graph models (ERGM) and firm-level information from the Bloomberg database.

This study observes that both the firms and directors’ networks consist of 55 components, with the largest component containing about half of the total number of firms/directors. The firm’s network consists of one giant component of 85 firms, including all but one bank. This study shows the importance of endogenous network variables, such as the number of edges, centralization and triangles on the estimation of the factors that promote the board interlocks. Highly centralized firms are less likely to interlock with other firms, while two firms that are interlocked with a common third firm are more likely to interlock.

This paper is the first to analyze in-depth the structure of the directors network of companies in Kuwait. This study illustrates the complex map of interfirm and directors social networks in Kuwait. To the best of the authors’ knowledge, this study is among the first to exploit ERGM in the context of board interlocks to account for potential cross-dependencies and emergent network structures. Managers can identify the director interlock with other firms in the network and take advantage of the connection as a source of external knowledge and influence.

This literature review aims to explore the various aspects of psychological capital (PsyCap), including its theoretical foundations, measurement methods, and the factors directly associated with PsyCap.

The approach employed in this study is scientific document synthesis, with a specific emphasis on scholarly articles published between 2001 and 2023. The selection of articles is limited to those published in internationally renowned journals that are indexed by reputable databases, including ISI (WoS) and SJR (Scopus).

Psychological capital is closely linked to other concepts at different levels. Scholars are investigating various factors associated with PsyCap, including health, project success, service marketing, banking services. It is important to note that different research areas have varying conceptualizations and scales when it comes to PsyCap.

This literature review of related studies reveals a growing global interest among researchers in the concept of positive psychological capital. The research results have shown significant interest in the items related to PsyCap, and and the factors directly associated with it, including antecedents, mediators, moderators, and outcomes.

The mine sequencing problem is NP-hard. Therefore, simplifying it is necessary. One way to do this is to employ clusters as input instead of individual blocks. The mining cut clustering problem has been little addressed in the literature, and the solutions used are almost always heuristic. We solve the mining cut clustering problem, which is NP-hard, through single- and multi-objective optimization, finding results that are local optima in acceptable computational time.

We first elaborate an ILP-based model to address the mining cut clustering problem. We employ a mono-objective approach and two multi-objective approaches, solving all these models by constraint programming. To choose the best solutions generated by multi-objective approaches, we employ two multi-criteria decision analysis approaches, considering different weight configurations. We developed a case study using real data.

We verified that the approaches based on multi-objective optimization performed better than the mono-objective approach for the economic return criterion. The weighted-sum multi-objective approach presented the best results considering all objective functions used. Once viable solutions were obtained through multi-objective optimization, multi-criteria decision analysis approaches almost always selected the same solution. We obtained solutions that are local optima in acceptable computational time.

This study solves an instance with 80 blocks. Consequently, it is aimed at short-term mine planning. The methodology has not yet been evaluated in large instances related to medium- and long-term mine planning.

This is the first time that multi-objective optimization has been employed to solve the mining cut custering problem. Even other problems related to mine planning were, at most, solved by goal programming, so that multi-objective optimization is a knowledge that is not widespread among mining researchers. The results are consistent, and the study achieves the objective of finding quality solutions to an NP-hard problem in an acceptable computational time.