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2215 research outputs found
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The motivation of employees and their intention to work in the Greek tourism sector
No full textPurpose: The purpose of this study is to investigate the motives that drive individuals' intentions to work within firms operating in the Greek tourism sector and to examine the impact of these motives on the intention to work. Design/methodology/approach: To achieve this objective, we conducted an empirical survey among 2,104 individuals with professional experience in the tourism business. Descriptive statistics and hierarchical regression analysis were employed, with motives as independent variables and the intention to work as the dependent construct, to answer the research question. Findings: This study presents job motivation as a hierarchical set of criteria that need to be fulfilled or satisfied. It also identifies the significant motives impacting employees' intention to work in both the accommodation sector and food and beverage services. Research limitations/implications: The data were collected at a single point in time from Greece, which may limit the generalizability of our results. Future research could consider the psychological and physiological characteristics of employees. Practical implications: Managers who provide social security, create a positive work environment, and promote collaboration among their employees can enhance the quality of work-life and positively influence their intention to work. Originality/value: The proposed model offers valuable guidelines that advance research on employee motivation in the tourism industry.73103278329
Play-mirth theory: a cognitive appraisal theory of humor
No full textThis work aims to introduce a general theory of humor elicitation and appreciation, the play-mirth theory, which is based on the cognitive appraisal perspective. Two experiments test the theory’s central hypothesis: that is, to experience humor, one must interpret (a) a stimulus as a playful turn and (b) the turn as consistent with their motives. In the first experiment, 104 undergraduate students rated the appraisal determinants of successful and failed humor experiences that they recalled. In the second experiment, appraisals of playful turn (i.e., present or absent), situational state (i.e., motive-inconsistent/motive-consistent), and motivational state (punishment/reward) were manipulated. Overall, 150 undergraduate students were exposed to the manipulated stimuli and answered a structured questionnaire. The findings provide the first experimental evidence that two appraisals (i.e., playful turn and motive-consistency) do elicit humor. Play-mirth hypothesis sufficiently differentiates humorous from nonhumorous experiences as well as mirth from other positive emotions such as joy, and relief.1
Virtual reality and mental imagery towards travel inspiration and visit intention
No full textThe study examines the relationship between virtual reality (VR)-facilitated mental imagery and travellers' intention to visit a destination. A serial mediation process through travel inspiration (inspired-by and inspired-to) is proposed as a psychological mechanism able to explain the positive relationship of elaboration and quality of mental imagery with visit intentions. VR users were recruited through Prolific Academic. The findings demonstrate that VR-facilitated elaboration of mental imagery increases travel inspiration and consequently visit intention. However, the importance of mental imagery quality is much lower. The paper contributes to the literature of pre-travel VR experience by exploring the role of travel inspiration.26
Outlier Detection and Prediction in Evolving Communities
No full textCommunity detection in social networks is of great importance and is used in a variety of applications such as recommendation systems and targeted advertising. While detecting dense groups with high levels of connectivity and similar interests between their members is the main target of traditional network analysis, finding network members with quite different behavior than the majority of nodes is important as well. These nodes are known as outliers, and their accurate detection can be very useful; when outliers are marked as noisy nodes, their early exclusion from analysis can lead to high computational profits. On the other hand, they can represent interesting components that call for further investigation to find the reasons for their outlying behavior and possible ways to include them in a neighboring community. Both community and outlier detection are challenging in temporal environments where changes occur in real time; thus, dynamic methods need to be deployed rather than to static methods. In our work, we take into account the content of the network, in contrast to most of related studies, where only the network’s structure contributes to community formation. We define an adaptive outlier score to be assigned to each node in order to quantify its outlierness, and introduce a complete online community detection algorithm that analyzes both the network’s structure and content while at the same time detecting community outliers. To evaluate our method, we retrieved and processed two real datasets regarding social networks with temporal and content information. Experimental results show that our method is capable of detecting outliers in real-time evolving communities and provides an outlier score which is a better metric of each node’s outlierness compared to widely used metrics. Finally, experimental results indicate that our method is suitable for predicting the status of future nodes based on their current outlier score.146235
Digital Divide and Human Resource Inequalities: A Dynamic Policy Strengthening Human Resource Effectiveness
No full textIn the era of digital transformation and the inexhaustible march of technology, the debate around the «digital divide» has engulfed the world of science and politics (Ley, 2020). But beyond the broader concept of the digital divide, what deserves to be examined more thoroughly are its consequences in the field of Human Resources (HR) and their effectiveness in the workplace (Kareem & Mijbas, 2019).This paper aims to bring to the fore a completely original framework of research interest, since it focuses on the relationship between the digital divide and inequalities in human resources. Here, it is examined how the inequality in access and use of digital technologies affects the effectiveness of HR in a business environment. Through this innovative approach, we tried to highlight the dynamic component that technological progress shapes in the context of human resources and their management. In addition, a comprehensive analysis of how inequalities in this area affect the performance of organizations and the achievement of their goals is offered. Through this work, it is proposed to give a new dimension to the debate about the role of technology in the management of human resources and the effectiveness of businesses in the era of digital transformation
How would the war and the pandemic affect the stock and cryptocurrency cross-market linkages?
No full textThis paper studies the cross-market linkages between six international stock markets and the two major cryptocurrency markets during the Covid-19 pandemic and the Russian invasion of Ukraine. By employing the local (partial) Gaussian correlation approach, we find that during the Covid-19 pandemic period, both cryptocurrency markets possess limited diversification and safe haven properties, which further diminish during the war. Bootstrap tests for contagion suggest that during the Covid-19 pandemic, the East Asian markets lead the transmission of contagion towards the two cryptocurrency markets. During the Russian invasion, the US stock market emerges as the principal transmitter of contagion. Uncovering the role of pandemic (Infectious Disease EMV Index) and geopolitical risk (GPR index) induced uncertainties, we find that under conditions of high uncertainty and falling prices, the dependency between the US and UK stock markets with both cryptocurrency markets increases considerably. The latter is more profound during the Russian–Ukrainian conflict. Our findings are useful for investors in their search for understanding the differences in asymmetric connectedness between markets during extreme events.7010227
Split personalities? Behavioral effects of temperature on financial decision-making
No full textThe fact that environmental factors have a broader effect on financial decision-making has been lengthily explored, but there is a gap in understanding how personality traits might mediate the effects of temperature on individual decision-making. Using plausibly exogenous variation of individuals' exposure to changes in national temperature between 2004 and 2018 across NUTS 1 regions in 29 European countries, we estimate the causal effect of a marginal change in temperature on financial investments and its interaction with the trait of optimism/pessimism using Survey of Health, Ageing and Retirement in Europe (SHARE) data. A 10% increase in temperature is associated with a 0.03 percentage point (pp) rise in the probability that an optimist invests in bonds and a 0.024 pp decline in the probability for investment in stocks. However, among pessimists, we find null effects. The results are comparable on the intensive margin. In sum, our results highlight the potentially heterogeneous ways that environmental factors shape individual decision-making.77366468
Quantifying the Impact of Nature based Interventions on Citizen Health and Well-being
No full textThis paper presents a comprehensive exploration of the euPOLIS
project’s innovative approach to quantifying the impact of naturebased interventions on citizens health and well-being. The study
leverages a sophisticated array of tools, including wearables, smartwatches, dedicated mobile applications, weather stations, and water
IoT systems to systematically collect and analyze a diverse set of
data. These tools enable the acquisition of real-time information
on various physiological and environmental parameters, creating a
rich dataset that forms the foundation for meaningful insights
Networking Solutions for the Evaluation of Nature-Based Interventions in Cities
No full textIn this paper we describe the adopted framework for data collection from multiple sensors, distributed among different cities in EU. Adopted approaches can be used as a basepoint for the creation of IoT networks, scalable and capable of supporting multiple communication protocols. The research focuses on open source, low-budget solutions. Selections were made considering multiple trade-offs in terms of scalability, costs, range, extensibility, and security. The delivered systems have been deployed for evaluating the impact of nature-based solutions, in 4 European cities.4704742024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv
Societal Aging and Attitudes towards Women in the Labor Market: Evidence from European Countries
No full textThis paper examines the relationship between societal aging and attitudes toward women in the labor market. We hypothesize that, up to a certain point, these attitudes are more favorable as societies grow ”older”. In these societies, people may better recognize that an increase in female labor force participation can help mitigate the challenges that societal aging imposes on the welfare state. To test this hypothesis, we conduct a multilevel analysis of individuals from 25 European OECD countries between 2004 and 2017, using the Old Age Dependency Ratio (OADR) as a proxy for societal aging and gender-related questions from the European Social Survey (ESS). Our findings reveal a hump-shaped relationship between societal aging and attitudes towards women in the labor market. In the early stages of demographic change, particularly in countries with a rising OADR, positive attitudes can be attributed to the recognition that an aging population necessitates a larger working-age population, making women a logical resource for
expansion, thus fostering more favorable norms. However, as societal aging progresses further, conservative views associated with older populations begin to dominate, leading to a deterioration in gender norms.4441326133