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.     

Do Mothers Matter? A Comparison of Models of the Influence of Mothers' and Fathers' Educational and Occupational Status on Children's Educational Attainment

The first objective of this article is to clarify which model best captures the structure and trend of the influence of social origin on children's education. The second objective is to analyse how general conclusions on historical trends in educational reproduction change if we add mother's status background to the model. Six contrasting hypotheses are derived fromthe body of literature dealing with models on families' socioeconomic status. All hypotheses are translated into empirical models and their explained variance is compared. A pooled data set is used that contains data from the Netherlands, West Germany, and the USA. The Modified Dominance Model, that distinguishes the influence of the highest from thelowest status parent, has the best model fit. Regarding the second objective we see that adding the mother's influence to that of the father's does not change general conclusions on trends in educational reproduction. Over time the influence of both parents decreases continuously. However, the influence of the mother's education and occupational status on children's educational attainment is substantive.     

整合产品服务系统——实现循环经济的新途径

整合产品服务系统(IPSS)是一种社会组织创新战略,通过将目前仅生产和销售有形产品的相互分离的工业生产与服务体系有机地整合,以比传统生产和消费模式更低的环境代价,有效满足顾客需求。作为对传统商业模式的革命性变革,整合产品服务系统是促进可持续发展和循环经济的有效手段和必由之路。本文讨论其产生的背景,给出其定义和理论框架,介绍其发展历程,以便为我国发展循环经济提供借鉴。     

基于循环经济下企业商业模式创新的研究

论述了循环经济是当前世界经济发展的主要方向,已被我国确定为今后经济的发展模式,加快循环经济的发展是解决经济增长与资源环境之间矛盾的根本手段。提出了现代企业只有在商业模式上实现创新,才能创造产业产品的价值和效益。     

神府—东胜矿区沙漠化趋势预测与防治措施

神府－东胜矿区在特定的自然地质环境和人为因素的影响下，土地沙漠化呈不断扩展的演化趋势。矿区大规模的开发建设，更加速了沙漠化进展。本文利用典型地段的沙漠化发展速率，依据矿区总体设计规模，对矿区自然沙漠化趋势和开矿新增沙漠化土地面积进行了定量预测，并提出了相应的防治措施。     

美国农业补贴政策的演变趋势分析

从1933年第一部系统的农业法开始实行以来,美国先后出台了数十个有关农业补贴的法律,对农业进行了长期高强度的补贴,形成了有特色的补贴体系.     

未来三十年我国及省际人口变动趋势

分析了我国人口的变动特点,并对未来三十年我国及省际人口的变动趋势作了预测,论述了我国未来人口的空间分布变动特点。     

Prizes for basic research: Human capital,economic might and the shadow of history

We study the distribution of basic scientific research across countries and time, and explain the process that resulted in the United States becoming the undisputed leader in basic research. Our study is based on the records of scientific awards, and on the data of global economic trends. We investigate the degree to which scale/threshold effects account for the number of prizes won. We constructed a stylized model, predicting a non-linear relationship with lagged relative GDP as an important explanatory variable of a country’s share of prizes. Our empirical research findings find support for these predictions and the presence of a “winner-takes-all” effect.      

The Evidence on Product-Market Diversifying Acquisitions and Joint Ventures by U.S. Banks

We examine the acquisition and joint venture strategies of U.S. banks from 1980 to 1998 to diversify into non-banking sectors. We find that the market responds favorably to both types of expansions, with the gains being shared between acquiring banks and their targets and venture banks and their non-bank partners, respectively. Acquisitions expose acquiring banks to significant increases in nonsystematic, market, and total risk, while joint ventures result in significant decreases in the nonsystematic and total risk measures for participating banks. Our results suggest that product-market expansions, in general, provide U.S. banks with value-enhancing opportunities, and that joint ventures may improve both the return and risk characteristics of the partner banks.     

Current issues and research trends on open-source software communities

Open source software (OSS) projects represent a new paradigm of software creation and development based on hundreds or even thousands of developers and users organised in the form of a virtual community. The success of an OSS project is closely linked to the successful organisation and development of the virtual community of support group. This paper reviews different fields and research topics related to the OSS communities such as collective intelligence, the structure of OSS communities, their success, communities as virtual organisations, motivation, shared knowledge, innovation and learning. The main challenges, results obtained, and the knowledge areas are detailed for each topic.