Constrained Forecasting: Some Implementation Guidelines

Constrained forecasting has become a popular approach to the complex task of predicting future sales. Mixed performance results have been obtained by companies employing constrained forecasting systems software packages which probably reflects the lack of any clear system implementation guidelines. A number of important operational parameters such as the number of product families, criterion used to define product families, number of system levels, etc. must be specified. This study reports on an investigation of two of these parameters: product group size and appropriate grouping criterion. Different tests are performed with the constrained forecasting system and compared to a traditional forecasting approach using product data from the Cummins Engine Company of Columbus, Indiana.     

The Design of a Knowledge-Based Decision Support System to Support the Information Analyst in Determining Requirements

Decision support system (DSS) researchers and designers continue to look for unstructured organizational tasks where there is a critical need for intelligent computer-based support. One such decision task is information requirements determination. Requirements determination is recognized as the most crucial phase of the systems development life cycle. Unfortunately, most methodologies and CASE tools focus only on how to specify the requirements once they are determined. There is very little computer support for the process of determining requirements. This paper discusses the conceptual design and development of a knowledge-based DSS to support information analysts in the critical decision task of determining requirements for the design of effective information systems. The expert modeling support system has the expertise to assist the analyst in studying the organization as a whole and in modeling the system under study in the context of the overall organization's goals and needs. The focus of the paper is on the problems associated with building the knowledge base component of the intelligent decision support system. A prototype implementation of the system is described.     

Fading Frames: Data Presentation and Framing Effects*

This article describes three experiments that investigate the impact of data presentation on framing, which is the differential evaluation of objectively equivalent information given different frames of reference. The experiments were designed to vary the amount of information and the format of presentation (tables versus graphs) provided to the decision maker to gain an understanding of the mechanism underlying framing. The inferred information model proposed by Johnson and Levin [11] is utilized to explain the results of the three experiments in terms of the redistribution of weights attached by the decision makers to the attributes of the prospective outcomes. The results of the three experiments indicate that framing effects are observed only when the presentation of data facilitates the shifting of weights among the attributes of the available alternatives. The results further indicate that framing is eliminated as more information is displayed. However, presentation of additional information does not eliminate framing when a graphical format is utilized. Finally, no framing effects are observed when uneven amounts of information are used to describe two alternatives in the same decision task.     

中原城市群信息化水平研究

信息化正在逐渐成为推动区域经济和社会全面发展的关键因素。对中原城市群信息化建设的现状进行了分析,认为要使中原城市群成为实现中原崛起的龙头,发挥其对河南省经济发展的拉动和辐射作用,需要相关部门在政策、信息基础设施、人才教育和培养等方面加以扶持,将信息化作为制定地区经济发展战略的一个重要因素。     

Developing Measures for Assessing the Organizational Impact of Information Technology: A Comment on Mahmood and Soon's Paper

In a recent study, Mahmood and Soon [26] identified and operationalized a set of variables that can be potentially impacted by information technology. The lack of factor analysis to verify the dimensionality of different variables is a notable omission in the study. This paper describes and employs the limited-information factor analysis approach and the minimum average partial criterion for testing the unidimensionality of different variables in the Mahmood and Soon study. While reconfirming the construct validity of eight variables, our results question the unidimensionality of two original variables. Further testimony is provided in favor of our results by citing previous research studies.     

Testing Prospect Theory in a Deterministic Multiple Criteria Decision-Making Environment*

Prospect theory by Kahneman and Tversky [7] is tested in a deterministic multiple criteria decision-making context. In two experiments conducted in classroom settings subjects made pairwise preference comparisons of condominiums for sale. The results of the experiments indicate that the traditional value model did not explain the subjects' revealed preferences as well as the prospect model. We conclude that prospect theory is a reasonable model of choice for many individuals in such a context.     

HR转型背景下劳动关系与劳动法课程教学方法新探

2020年中共中央办公厅、国务院印发的《关于深化新时代教育督导体制机制改革的意见》,进一步推动了我国教育事业的改革和发展,也为HR转型背景下劳动关系与劳动法课程教学方法的改革提供了优良契机。基于此,文章介绍了HR转型与专业人才培养的关系,分析了HR转型对劳动关系与劳动法课程教学的影响,探究了HR转型背景下劳动关系与劳动法课程的教学现状,论述了HR转型背景下劳动关系与劳动法课程教学的创新路径。     

高校英语课堂中科学信息素养的培育策略研究

英语教学并非单纯地教授学生英语技能和能力,而是担负着为时代发展需求培养国际化优质人才的使命和担当。随着我国高等教学水平的逐步提升,英语教学开始向学术化的方向不断发展,旨在培养出拥有较高专业化知识与英语技能的复合型人才,为我国提升国际核心竞争力奠定坚实的人才基础。近年来,信息技术的跨越式发展扩展了获取信息的渠道,通过英语教学培养学生获取国外先进技术理论信息的能力是我国实现与国际化接轨的必要举措。但是在实际的高校英语课堂教学中,在学生科学信息素养的培育方面还存在着诸多的不足。文章以此为研究对象展开探索和讨论,通过提出在高校英语教学中培养学生科学信息素养的策略,达到提升教学质量,满足时代对于优质人才需求的目的。     

金融知识差异与我国家庭财富积累

通过应用中国城市家庭消费金融调研数据,本文系统的实证检验了改进后的金融知识指标、经济学专业、金融学专业以及家庭理财规划等因素对家庭各项财富积累的影响,并通过使用合适的工具变量进行两阶段估计,验证了这种正向影响的稳健性。此外,实证结果中家庭理财规划以及理财规划时间跨度的正向边际效应表明,理财规划可能是金融知识差异影响家庭财富积累的重要机制。研究结论有利于更准确地理解居民金融知识差异对于家庭福利,特别是退休福利的影响。     

Setting socially mediated engagement parameters: A topic modeling and text analytic approach to examining polarized discourses on Gillette’s campaign

Opinions on social and political issues can be easily polarized in socially mediated contexts. Using an inductive topic modeling and text analytical approach, the study analyzes more than 100,000 original tweets on polarized discussions on Gillette’s controversial campaign addressing toxic masculinity. Results suggest that influencers serve as ideological hyper-prototypes that attract significant attention equally from supporters and detractors, while hashtags and users’ reference of current events span the conversations across multiple contexts. Study results also indicate that horizontal information cascades from external ideologically centered sources that serve users’ identity and ideological signaling are a potential contributor of discourse polarization. Based on the study results, an identity- and representation-based approach to understanding socially mediated discourses is proposed, and four parameters of socially mediated engagement identified to further theorize engagement for public relations research in digital contexts.