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Drawing upon conservation of resources theory, this study aims to explore how ethical leadership relates to subordinates' emotional exhaustion through the chain mediating effects of organizational networking behavior and organizational embeddedness.

Data were collected from 447 airport employees in China. PROCESS macro in SPSS was used to test the hypotheses.

Results indicated that ethical leadership is negatively correlated with emotional exhaustion; organizational networking behavior and organizational embeddedness play a chain mediating role in the negative relationship between ethical leadership and emotional exhaustion.

This study provides new insights into the association between ethical leadership and emotional exhaustion, and enriches the antecedents and consequences of organizational networking behavior.

This chapter uses ideas from the ritual economy approach to discuss the political ecology of ritual feasting among Lisu highlanders and Shan lowlanders of northern Southeast Asia and medieval Icelanders. The audience for Lisu feasts is fellow villagers all of whom are engaged in limited competition for prestige to insure equality among households. These reciprocal feasts use a considerable portion of the annual value of each household's production. Among Shan the audience is non-reciprocating Buddhist monks and non-reciprocating fellow villagers to validate positions in the social-political hierarchy in terms of Buddhist merit. The feasts use a relatively small portion of any household's annual production. Among Icelandic chieftains, the audience was followers and potential followers to validate claims to chieftaincy and could initially use only a fraction of the annual production of a chiefly household, though as the source of revenue changed from household slaves to renters, and wage workers and competition for land developed, the ritual dimension of chieftaincy became exaggerated and used an increasing portion of revenues as there were fewer and fewer increasingly powerful and combative chieftains.

Outlines previous research on the security analyst “superstar” phenomenon, including the stochastic model of Yule and Simon. Applies this to data on the 1986‐1997 selections for the Institutional Investor’s All‐British Research First Team (ABRT) and finds that it does not explain the distribution, i.e. that selection does appear to be based on skill rather than luck. Considers consistency with other research and expects future research to concentrate on the ABRT’s ability to forecast earnings per share and share prices.

The purpose of this article is to analyze the historical significance of Donald J. Urquhart, who established the National Lending Library for Science and Technology (NLL) that later was merged into the British Library Lending Division (BLLD), now called the British Library Document Supply Centre (BLDSC).

The paper presents a short history of the probabilistic revolution, particularly as it developed in the UK in the form of biometric statistics due to Darwin's theory of evolution. It focuses on the overthrow of the normal paradigm, according to which frequency distributions in nature and society conform to the normal law of error. The paper discusses the importance of the Poisson distribution and its utilization in the construction of stochastic models that better describe reality. Here the focus is on the compound Poisson distribution in the form of the negative binomial distribution (NBD). The paper then shows how Urquhart extended the probabilistic revolution to librarianship by using the Poisson as the probabilistic model in his analyses of the 1956 external loans made by the Science Museum Library (SML) as well as in his management of the scientific and technical (sci/tech) journal collection of the NLL. Thanks to this, Urquhart can be considered as playing a pivotal role in the creation of bibliometrics or the statistical bases of modern library and information science. The paper relates how Urquhart's son and daughter‐in‐law, John A. and Norma C. Urquhart, completed Urquhart's probabilistic breakthrough by advancing for the first time the NBD as the model for library use in a study executed at the University of Newcastle upon Tyne, connecting bibliometrics with biometrics. It concludes with a discussion of Urquhart's Law and its probabilistic implications for the use of sci/tech journals in a library system.

By being the first librarian to apply probability to the analysis of sci/tech journal use, Urquhart was instrumental in the creation of modern library and information science. His findings force a probabilistic re‐conceptualization of sci/tech journal use in a library system that has great implications for the transition of sci/tech journals from locally held paper copies to shared electronic databases.

Urquhart's significance is considered from the perspective of the development of science as a whole as well as library and information science in particular.

The chapter examines and challenges the assumed necessity of a linkage between remembered series of exchanges, amicable social relations, and prestige found in the work of Marcel Mauss and many subsequent theorists of reciprocity and gift exchange.

The chapter uses the nearly 500 year history of the giving and taking of the Koh-i-noor Diamond by rulers of South and Central Asia, commencing with Babur, the first Mughal emperor, and ending with Queen Victoria, which includes some gift giving and much taking by force, to explore what happens when only two of the three elements Mauss assumed central to understanding gift exchange are present.

Based on a review of the historical material, the chapter demonstrates that though historical narratives or memories of exchanges were central to enhancing the prestige of the parties to the exchange and the diamond itself, that process could and did occur in the absence of any on-going amicable social relations, including in situations in which exchange or transfer of the diamond were coerced and nothing was given in return to the dispossessed former owner of the gem.

By suggesting an alternative configuration of the factors necessary for the association of exchange and prestige, the chapter provides the opportunity to reconsider assumptions common in the literature on gift exchange and further enhance our understanding of this central element of social theory.

A major difficulty in continuous speech recognition research is the lack of effective and objective evaluation of the statistical models of text. Herbert Simon's view for evaluating theories is here applied to the statistical modelling of text. Three significant contributions can be identified. First, a time‐series representation of text is used to identify three well‐known empirical laws of text generation. These laws provide an effective and objective approach for evaluating four leading statistical models of text. Second, it is shown that the Simon‐Yule model of text provides a constructive mechanism for those laws. Third, based on Simon's explanatory processes of imitation and association, an adaptive framework for continuous speech recognition is suggested.

During the forming process, aluminum alloy sheets develop various types of textures and are subjected to cyclic loading as structural components, resulting in fatigue damage. This study aims to develop polycrystalline models with different orientation distributions and incorporate suitable fatigue indicator parameters to investigate the effect of orientation distribution on the mechanical properties of Al-7.02Mg-1.78Zn alloys under cyclic loading.

In this study, a two-dimensional polycrystalline model with 150 equiaxed grains was constructed based on optical microscope images. Subsequently, six different orientation distributions were assigned to this model. The fatigue indicator parameter of strain energy dissipation is utilized to analyze the stress response and fatigue crack driving force in polycrystalline models with different orientation distributions subjected to cyclic loading.

The study found that orientation distribution significantly influences fatigue crack initiation. Orientation distributions with a larger average Schmid factor exhibit reduced stress response and lower fatigue indicator parameters. Locations with a larger average Schmid factor experience greater plastic deformation and present a higher risk for fatigue crack initiation. RVE with a single orientation undergoes more rotation to reach cyclic steady state under cyclic loading due to the ease of deformation transfer.

Currently, there are no reports in the literature on the calculation of fatigue crack initiation for Al-Mg-Zn alloys using the crystal plasticity finite element method. This study presents a novel strategy for simulating the response of Al-7.02Mg-1.78Zn materials with different orientation distributions under symmetric strain cyclic loading, providing valuable references for future research.

Our research investigated how the perceived effectiveness of privacy, perceived privacy risk, and perceived security influenced consumers' behavioral intention to use mobile payment applications during the COVID-19 pandemic.

We applied a quantitative method using a cross-sectional online survey conducted over three years. We collected a sample of 1,471 survey responses focused on ages 18–39. Using descriptive statistics, confirmatory factor analysis, and structural equation modeling, we tested our hypotheses with SPSS 27 and AMOS 27.

Results of the study indicate that the perceived effectiveness of privacy positively influences perceived privacy risk, perceived security, and behavioral intention. Moreover, perceived privacy risk has a positive effect on perceived security. We found no significant relationship between perceived privacy risk and behavioral intention, although perceived security has a positive effect on behavioral intention. Further mediation analyses showed that perceived privacy risk and perceived security mediate the relationship between the perceived effectiveness of privacy and behavioral intention.

This research sheds new light on the role of perceived privacy effectiveness in mobile payment adoption in Hungary, particularly during the COVID-19 pandemic. Our research also explains why and how perceived privacy effectiveness influences consumers' perceived privacy risk, perceived security, and behavioral intention.

The recent advancements in smartphone technology and social media platforms have increased the popularity of artificial intelligence (AI) color cosmetics. Meanwhile, China is a lucrative market for various foreign beauty products and technological innovations. This research aims to investigate the adoption of AI color cosmetics applications and their electronic word-of-mouth (e-WOM) intention among Chinese social media influencers. Several key concepts have been proposed in this research, namely body esteem, price sensitivity, social media addiction and actual purchase.

An online questionnaire design was used in this research. A combination of purposive sampling and snowball sampling of AI color cosmetics users who are also social media influencers in China yields 221 respondents. To analyze the data, this research employs Structural Equation Modelling (SEM) method via SPSS and AMOS software. A 2-step approach, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), is implemented to prove the hypotheses and generate the results.

1) Social media addiction is a positive predictor of AI color cosmetics usage, (2) AI color cosmetics usage is a positive predictor of actual purchase, (3) actual purchase is a positive predictor of e-WOM intention and lastly, (4) there is a full mediation effect of actual purchase.

This research draws on the uses and gratification (U&G) theory to investigate how specific user characteristics affect Chinese social media influencers' adoption of AI color cosmetics, as well as how this may affect their decision to purchase branded color cosmetics and their e-WOM.