国内外社会资本与旅游研究文献综述

社会资本包含集体社会资本和个体社会资本。通过对Elsevier，Springer link和CNKI等平台上的文献进行梳理发现：在旅游领域，社会资本理论研究主要集中于集体和个体社会资本对旅游发展影响以及旅游对目的地社会资本影响等方面，研究呈现出内容上集中于社会资本对旅游的影响，方法上以案例分析为主的特点，当前仍存在不足，并提出今后研究的趋势，为以旅游创新助力乡村振兴，关注特色小镇发展模式，促进文化旅游可持续等，更好地运用社会资本理论来解释和解决旅游活动中的现象和问题，促进旅游业可持续发展。     

An explorative study of corporate travellers’ perception at a German airport

The modern working environment is changing at a fast pace due to factors such as globalisation, digitalisation, and demographic trends. Taking an exploratory approach, this study examines how prevailing factors shaping the working world may influence the perception of business air travellers. Relevant factors are identified through a literature review, which results are confirmed by expert interviews (N = 11). Business travellers are surveyed (N = 67) at Munich Airport regarding their personal experiences and their evaluations of these identified factors. Their perceptions concerning the psychological and physical experience, digitalisation, age, and gender are examined in detail.Findings provide insights into the development of business air travel, with a focus on German business travellers. Despite the influence of advanced information and communications technology, survey results reveal that air travel might stay an essential part of the working world, as face-to-face meetings are not fully replaceable. Increasing multi-partner project work and flexible work structures could even lead into an increase of air travel. The study also delineates recommendations and research potential, such as the extension of the study in the light of the global COVID-19 pandemic. The question of how trends within the working world influence the perception of business related air travel is rarely studied. This study contributes to this gap in the scientific community.     

Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

Research collaboration model in academic social networks

ABSTRACT

This paper proposes a hybrid collaboration recommendation method that accounts for research similarities and the previous research cooperation network. Research cooperation is measured by combining the collaboration time and the number of co-authors who already collaborated with at least one scientist. Research similarity is based on authors’ previous publications and academic events they attended. A weighted directed graph is built to discover new collaborators by using direct and indirect connections between scientists. Moreover, a consensus-based system is built to integrate bibliography data from different sources. The experimental results show that our method improves the recommendation performances over other methods.     

A review of empirical research on interorganizational relations in tourism

During the last few decades, a growing body of literature has been produced on various aspects of interorganizational relations (IOR) in tourism. This paper provides a review of that literature. The findings are based on a review of 269 empirical papers published in 37 tourism journals between 1989 and the first quarter of 2017. The review identifies six main research themes relating to relationship formation, structure and activities, governance, maintenance, outcomes, and evolution. Based on the insights from this review, an organizing framework for research on IOR in tourism is developed and four opportunities for advancing research on IOR in tourism are proposed relating to the pursuit of causal inference, supply networks as a unit of analysis, quantifying outcomes of IOR in tourism, and addressing marginalized topics.     

Bridging the great divide? Making sense of the human rights-CSR relationship in UK multinational companies

Human rights (HR) and corporate social responsibility (CSR) are both fields of knowledge and research that have been shaped by, and examine, the role of multi-national enterprises in society. Whilst scholars have highlighted the overlapping nature of CSR and HR, our understanding of this relationship within business practice remains vague and under-researched. To explore the interface between CSR and HR, this paper presents empirical data from a qualitative study involving 22 international businesses based in the UK. Through an analysis based on sensemaking, the paper examines how and where CSR and HR overlap, contrast and shape one another, and the role that companies’ international operations has on this relationship. The findings reveal a complex and multi-layered relationship between the two, and concludes that in contrast to management theory, companies have bridged the ‘great divide’ in varying degrees most notably in their implementation strategies.     

信号级协同计算平台架构及应用思考

针对智能化作战对军事电子信息系统计算能力提升的迫切需求，结合云计算的资源虚拟化、大数据的分布式计算等技术，提出了基于嵌入式CPU+ALL（DSP、FPGA、PPC、GPU、AI处理器等）的异构处理的信号级协同计算平台架构，包括弹性、轻量级异构资源虚拟化模型、分布式实时计算框架和智能计算框架等，形成了一套架构统一、资源共用、使用简便的协同计算和智能计算环境。通过战术级无线电认知和智能信号与信息处理两个典型应用场景，探讨了该信号级协同计算平台可能带来的颠覆性效用。     

Benefits of leisure in overcoming gender violence experiences: a case study

This article is based on a case study carried out at Casa Malva, a shelter for female victims of gender violence in Gijón, Asturias (Spain). The study explores the potential therapeutic value of leisure in the process of personal recovery for women living in sheltered accommodation, and the positive impact leisure may have in overcoming a traumatic life event. The study comprised 16 semi-structured interviews with female victims of gender violence and three discussion groups with shelter staff. The article examines the concept of leisure and the potential benefits of leisure activities as part of the Personal Recovery Project (PRP) run by Casa Malva. PRP is an innovative recovery initiative aimed at helping women to overcome situations of gender violence by focusing on areas of experience, such as family, employment and leisure.     

安徽以增加知识价值为导向分配政策的实践研究

2017年10月,安徽省委省政府出台《关于实行以增加知识价值为导向分配政策的实施意见》。采取调查问卷的方式从五个方面跟踪总结了安徽省属高校院所对以增加知识价值为导向分配政策的执行情况,并对今后如何推动政策的进一步落实提出建议。