Search results

The aim of this paper is to provide a narrative review of previous research on tourism demand modelling and forecasting and potential future developments.

A narrative approach is taken in this review of the current body of knowledge.

Significant methodological advancements in tourism demand modelling and forecasting over the past two decades are identified.

The distinct characteristics of the various methods applied in the field are summarised and a research agenda for future investigations is proposed.

本文旨在对先前关于旅游需求建模和预测的研究进行叙述性回顾并对未来潜在发展进行展望。

本文采用叙述性回顾方法对当前知识体系进行了评论。

本文确认了过去二十年旅游需求建模和预测方法论方面的重要进展。

本文总结了该领域应用的各种方法的独特特征, 并对未来研究提出了建议。

El objetivo de este documento es ofrecer una revisión narrativa de la investigación previa sobre modelización y previsión de la demanda turística y los posibles desarrollos futuros.

En esta revisión del marco actual de conocimientos sobre modelización y previsión de la demanda turística y los posibles desarrollos futuros,se adopta un enfoque narrativo.

Se identifican avances metodológicos significativos en la modelización y previsión de la demanda turística en las dos últimas décadas.

Se resumen las características propias de los diversos métodos aplicados en este campo y se propone una agenda de investigación para futuros trabajos.

This paper aims to investigate how home-based telework (HBT) affects job stress. The authors argue that an intrinsic effect of telework like work extension mediates this relationship. Work extension is reflected in two employee behaviours: working in free time and presentism.

The proposed model has been estimated using the Preacher and Hayes bootstrap method for multiple mediation analysis, with 1,000 repetitions. The data used come from the sixth European Working Conditions Survey.

The analysis indicates that HBT does not pose an inherent risk for job stress but causes a change in the employees' behaviour, increasing working in free time and presenteeism and thus job stress. The mediation model indicates that once these behaviours are controlled, the effect of HBT is to reduce stress.

The authors argue that companies should focus on human resource practices to control workers' behaviours that have a detrimental effect on job stress while institutions should regulate HBT.

The analysis deepens the unclear relationship between HBT and job stress by introducing employees' behaviours concerning work extension into the equation.

At present, the scale of China's floating population has reached 376 million people. Compared with the local inhabitants, the poverty problem of the floating population is more complex, and this problem should also attract the attention of all sectors of society. This paper aims to measure and analyze the multidimensional poverty of the floating population in China.

The data used in this paper are the data of the China Migrants Dynamic Survey (CMDS) in China. This survey is a large-scale national migratory population sampling survey organized by the China National Health Commission, covering 31 provinces (autonomous regions and cities) and other autonomous regions. This paper uses the dynamic monitoring and Alkire and Foster (A-F) method to study the multidimensional poverty problem of the floating population.

This study finds that income poverty is no longer the main type of poverty faced by the floating population. The multidimensional poverty of the floating population mainly occurs in the social security and education dimensions, of which social security has become the most severe poverty dimension of the floating population. From the perspective of group differences, compared with the floating population in urban areas, the multidimensional poverty of migrant workers is more serious. However, the poverty of migrant workers is mainly concentrated in one-dimensional poverty and two-dimensional poverty.

In the future, the authors should focus on the social security of the floating population in the place of influx and the education of the floating population.

Through the review of the existing literature, the authors find that the current research on the multidimensional poverty of the floating population is mainly concentrated on the migrant worker groups that move from rural areas to urban areas. However, insufficient attention is paid to the urban floating population groups moving between cities.

This study is aimed at making an inspection of the effects of collaborative innovation network characteristics on firm innovation performance, and the intermediary roles of knowledge transfer efficiency is taken into account.

This study used a convenient sampling method to obtain population and samples. Using data obtained by publishing online and paper questionnaires, and using on-site interviews in Anhui Province in the Yangtze River Delta region of China, descriptive analysis, regression analysis and correlation analysis are utilized to study the direct influence of collaborative innovation network characteristics on knowledge transfer efficiency as well as firm innovation performance, and the intermediary roles of knowledge transfer efficiency on firm innovation performance, respectively. In this study, 3,000 questionnaires were distributed to the employees of enterprises engaged in research and development (R&D) activities, of which 2,560 were valid. With the help of SPSS24.0 software, the reliability and validity of the questionnaire was analyzed.

The results are indicative of that network centrality and relationship strength positively affect knowledge transfer efficiency and firm innovation performance. Nevertheless, network scale has no significant correlation with knowledge transfer efficiency and enterprise innovation performance. In addition, knowledge transfer efficiency is an intermediary between collaborative innovation network characteristics and enterprise innovation performance, and positively affects enterprise innovation performance, which demonstrated that managers should take advantage of collaborative innovation network characteristics to elevate knowledge transfer efficiency because well-realized transferals of knowledge can help accelerate the coordination of resources in knowledge, and finally bring about the advancement of firm's innovation abilities and performance.

There are few previous studies that fully examined the relationships among collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. This paper developed previous researches on the relationships between collaborative innovation network characteristics, knowledge transfer efficiency and firm innovation performance. The mediation of knowledge transfer efficiency on the relationship between collaborative innovation network characteristics and firm innovation performance is analyzed. Further, studies on collaborative innovation network characteristics using data obtained from employees engaged in R&D activities are very limited in the literature. On account of that, the findings in this study may make sense to the innovation ability of innovative enterprise and expand the literature in the field of enterprise strategic management and knowledge management.

This analysis shows that collaborative innovation network characteristics have both positive and negative effects on firm innovation performance. Therefore, business managers should pay attention to their position in the collaborative innovation network and maintain the relationship strength with other innovation subjects. Special consideration should be given to the knowledge transfer of innovative enterprises, so as to improve firm innovation performance practically.

The study may provide additional understandings for researchers, government managers, universities and enterprises with regard to strategic management from the visual angle of innovation ecosystems. It is instrumental in the exploration of the mechanisms enabling firm innovation performance.

This paper studies the optimal decision-making and coordination problem of a dual-channel fresh agricultural product (FAP) supply chain. The purpose is to analyze the impact of information sharing on optimal decisions and propose a coordination mechanism to encourage supply chain members to share information.

The two-echelon dual-channel FAP supply chain includes a manufacturer and a retailer. By using the Stackelberg game theory and the backward induction method, the optimal decisions are obtained under information symmetry and asymmetry and the coordination contract is designed.

The results show that supply chain members should comprehensively evaluate the specific situation of product attributes, coefficient of freshness-keeping cost and network operating costs to make decisions. Asymmetric information can exacerbate the deviation of optimal decisions among supply chain members and information sharing is always beneficial to manufacturers but not to retailers. The improved revenue-sharing and cost-sharing contract is an effective coordination mechanism.

The conclusions can provide theoretical guidance for supply chain managers to deal with information asymmetry and improve the competitiveness of the supply chain.

This paper combines the three characteristics that are most closely related to the reality of supply chains, including horizontal and vertical competition of different channels, the perishable characteristics of FAPs and the uncertainty generated by asymmetric demand information.

The aim of the study was to investigate the relationship between remote work and subjective well-being and the potential moderating role of gender, household size and childcare.

The current research used data from the 2016 and 2020 editions of the Survey on Household Income and Wealth (SHIW) of the Bank of Italy. Italian workers were asked to report their subjective well-being and how many days per month they work remotely (at the time of the COVID-19 pandemic). Cross-sectional and longitudinal analyses were conducted on a sample of 1.103 and 184 participants, respectively.

After controlling for the effects of gender, age, education and perceived economic condition, ordered probit models revealed that the relationship between remote work and subjective well-being was nonsignificant. Moreover, gender, household size and childcare did not play a moderating role in the relationship between remote work and subjective well-being.

The findings of the current study suggest that an individualized approach is required to maximize the possible benefits of remote work.

The potential positive effects of remote work on subjective well-being might be overestimated.

The swift and unanticipated integration of telework by European companies due to COVID-19 gave rise to distinct features of telework. These attributes underscore the necessity of analysing its impact on employees’ well-being. This paper explores how telework experiences impact well-being by influencing work–life balance and job satisfaction. Additionally, it investigates whether employee preferences for telework are a contributing factor.

Based on the data provided by the “living, working and COVID-19” e-survey, structural equation models (SEM) were used to test the hypotheses. Specifically, a multiple-mediation approach and path analyses were applied to measure the relationship between the variables under study. The moderating role of preference for telework was also tested.

Key findings support that telework experience has a positive impact on well-being, both directly and indirectly, particularly via work–life balance. Although preference for telework strengthens the relationship between telework experience and well-being, it does not enhance the predictive power of the mediated model.

These results have important implications from an applied perspective. Human capital departments as well as managers should design telework programmes to create a positive experience since this will ensure a positive influence on the perception of work–life balance, job satisfaction and well-being.

COVID-19 as a sudden environmental constraint forced the implementation of telework without proper planning and training. Thus, how the employees experience this major change in their working conditions has affected their well-being. The present paper contributes to clarifying how the proposed variables relate under such constraints.

In the wake of the COVID-19 pandemic, remote working (RW) has emerged as a viable alternative to working employees in general and knowledge workers in particular. However, previous researchers have worked on the concept, development and facilitation of RW since the 1970s. Therefore, this study aims to review the existing literature on RW to ascertain the evolution of the concept in the business and management domain and provide for requisite arguments to extend the settings for future research agendas.

The authors based this study on a bibliometric analysis of articles (n = 349) retrieved from the Web of Science database published between January 1990 and October 2021. The authors have used a bibliometric toolbox comprising performance analysis, science mapping and network analysis in various software namely, VOSviewer, Gephi and Biblioshiny package in R.

The study’s results accentuated important themes like work–life balance, strengthening digital infrastructure, performance and productivity, hybrid work models and well-being and clustered them under four heads with proposed future research questions.

The study is based on a single database; the authors have used an extensive but not exhaustive list of keywords to retrieve the articles. The analysis employs certain threshold limits while using the science mapping technique.

This study would enable managers and academics to comprehensively understand remote work and offer logical implications to appreciate its nuances.

This study is unique as it recognizes the intellectual structure in the existing literature on RW and traces the advancements and exponential growth post-COVID-19. The authors recapitulated the literature as network analysis of the RW facilitation model comprising the antecedents, outcomes, mediators and moderators.

Due to the crisis originated by the COVID-19 pandemic, an important number of workers have been incorporating the telework modality. In this context, the distance from the workplace generates new dilemmas for work performance. In the paper the authors study the role of some individual and social antecedents on telework outcomes. In particular, they empirically investigate the direct relationship between trust (TR) and telework performance (PER) and explore mediators of that relationship such as social isolation (SI) and fatigue (FA).

A theoretical model with three main hypotheses is proposed and tested using partial least square structural equation modeling (PLS-SEM). The study sample, of an exploratory nature, consists of a dataset of 201 teleworkers working in Spanish companies.

The relevance of the proposed model is demonstrated and FA is found to be the factor that most affects (negatively) PER, followed by TR (positively) and SI (negatively). Beyond the direct effects, the results provide support for the role of SI and FA in mediating the relationship between TR and PER.

This paper discusses the PER dilemma and proposes and tests a background model that may be useful for future research. The results are of interest to human resource managers, consultants, academics and telework tool developers and managers. Practices are proposed to improve TR or to reduce feelings of SI or FA. The research provides a practical evaluation tool for telework implementation.

This study aims to adopt a systematic review approach to examine the existing literature on law and LLMs.It involves analyzing and synthesizing relevant research papers, reports and scholarly articles that discuss the use of LLMs in the legal domain. The review encompasses various aspects, including an analysis of LLMs, legal natural language processing (NLP), model tuning techniques, data processing strategies and frameworks for addressing the challenges associated with legal question-and-answer (Q&A) systems. Additionally, the study explores potential applications and services that can benefit from the integration of LLMs in the field of intelligent justice.

This paper surveys the state-of-the-art research on law LLMs and their application in the field of intelligent justice. The study aims to identify the challenges associated with developing Q&A systems based on LLMs and explores potential directions for future research and development. The ultimate goal is to contribute to the advancement of intelligent justice by effectively leveraging LLMs.

To effectively apply a law LLM, systematic research on LLM, legal NLP and model adjustment technology is required.

This study contributes to the field of intelligent justice by providing a comprehensive review of the current state of research on law LLMs.