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.     

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.     

Sharing versus collaborative economy: how to align ICT developments and the SDGs in tourism?

Great hopes have been placed in the sharing economy to provide a new business model based on peer-to-peer (P2P) exchanges of underutilized assets. As a model, the sharing economy has been expected to make significant contributions to sustainability, providing new opportunities for entrepreneurship, more sustainable use of resources, and consumer co-operation in tight economic networks. However, in recent years, digital platforms have turned into the most important actors in the global sharing economy, turning global corporations, such as AirBnB, Booking, or TripAdvisor into intermediaries controlling and profiting from most transactions. Focused on accommodation, this paper conceptualizes the sharing economy in comparison to the wider collaborative economy, and discusses its social, economic, environmental, and political impacts in comparison to the sustainable development goals. It concludes that the sharing economy has great potential to make very significant contributions to sustainability, though the model is increasingly being replaced by the collaborative economy, which performs as an extension and acceleration of neoliberal economic practices.     

我国粮食产后损失情况概述

本文系统分析了粮食产后各环节损失的原因及损失量,针对相关粮食损失原因及状况,提出了减少粮食产后损失的措施及建议,以期为我国实现节粮减损提供支持。     

Organizational versus Market Knowledge: From Concrete Embodiment to Abstract Representation

Synopsis In contrast to the neoclassical economic presumption in favor of markets, we argue that organizations, not markets should be taken as our default assumption. We do so on information processing grounds. We distinguish between Zen and market Knowledge. The first is embodied and hard to articulate and the second abstract-symbolic. In human evolution, the first type of knowledge came first, and, on any pragmatic definition of knowledge, it still incorporates most of what we mean by the term. We take codification and abstraction as the two data processing activities that lead to the articulation of knowledge into an abstract-symbolic form. We develop a conceptual framework, the Information-Space (I-Space) to show how far the articulation of knowledge leads to its being shared. Whereas an unlimited sharing of information and knowledge leads to market-oriented outcomes, a more limited sharing leads to organizational outcomes. A market-oriented economics has tended to look to physics for its models; the field of organization theory has tended to look to biology. A more organization-oriented economics would thus look more to biology for its models.     

我国旅游地区收入分析及对策探讨

旅游收入是旅游经济活动的重要内容，它一方面反映了旅游者的旅游需求通过旅游经营者的旅游供给而不断得到满足，另一方面又体现着旅游产业部门和企业在产经营活动的价值运行与价值实现。旅游收入与分配是旅游经济运行的前提，对其进行考察分析，是十分重要的。本章从收入和分配两个方面入手，对旅游收入分类、指标、旅游企业收入和分配以及旅游收入乘数的作用等进行了分析和阐述。     

电子信息工程专业实践教学模式改革研究

针对我校电子信息工程专业实战教学的现状，明确了实战教学的改革应坚持以能力培养为主线．并树立传授知识、培养能力、提高素质协调发展以及理论教学与实验教学统筹协调的理念；将实战教学的体系分为基础层、提高设计层、综合应用开发层、科技创新层四个层次．构建了一个集教与学为一体。课内、课外为一体，理论教学和实践教学为一体，实际实验和虚拟实验为一体，校内实践和校外实践为一体的多元实践教学模式。     

谈高校资料室网上信息资源的开发利用

面对浩如烟海的网络信息资源丰富又无序、新颖又形象、急需开发利用。本文探讨了开发利用网上信息资源的必要性,介绍了如何开发利用网上信息资源,为用户充当网络信息导航员,发掘网上信息,丰富现有信息源等几种方法。     

新形势下企业人力资源开发与管理策略研究

21世纪 ,企业面临“非连贯性”的新竞争环境 ,需要建立健全企业人才资源开发与管理的机制和相应的策略。本文在分析企业面临的新形势的基础上 ,对当前企业人力资源开发与管理机制进行了分析 ,并进一步提出企业人力资源开发与管理的相应策略 ,即彻底转变和更新人才观念 ;实施战略性人力资源管理 ;建立企业高素质人才资源开发机制等。     

浅谈我国中小企业信用担保体系的问题及对策

以信用担保为中介的中小企业信用担保机构主要发展和成熟于欧美、日本等国家。20世纪90年代以来,我国各地迅速涌现各有特色的中小企业信用担保机构,创造了一定效益,但由于多种原因,也制约着其本身的进一步发展。究其原因,主要是我国信用担保体系建设尚不完善,还存在着这样那样的问题。本文从我国中小企业信用担保体系发展的现状入手,全面分析在建设信用担保体系中出现的各种问题,具体地指出完善我国中小企业信用担保体系建设措施,以此促进我国中小企业信用担保体系的不断完善与健康发展。