Data Science,Predictive Analytics,and Big Data in Supply Chain Management: Current State and Future Potential

While data science, predictive analytics, and big data have been frequently used buzzwords, rigorous academic investigations into these areas are just emerging. In this forward thinking article, we discuss the results of a recent large‐scale survey on these topics among supply chain management (SCM) professionals, complemented with our experiences in developing, implementing, and administering one of the first master's degree programs in predictive analytics. As such, we effectively provide an assessment of the current state of the field via a large‐scale survey, and offer insight into its future potential via the discussion of how a research university is training next‐generation data scientists. Specifically, we report on the current use of predictive analytics in SCM and the underlying motivations, as well as perceived benefits and barriers. In addition, we highlight skills desired for successful data scientists, and provide illustrations of how predictive analytics can be implemented in the curriculum. Relying on one of the largest data sets of predictive analytics users in SCM collected to date and our experiences with one of the first master's degree programs in predictive analytics, it is our intent to provide a timely assessment of the field, illustrate its future potential, and motivate additional research and pedagogical advancements in this domain.     

Data Science,Predictive Analytics,and Big Data: A Revolution That Will Transform Supply Chain Design and Management

We illuminate the myriad of opportunities for research where supply chain management (SCM) intersects with data science, predictive analytics, and big data, collectively referred to as DPB. We show that these terms are not only becoming popular but are also relevant to supply chain research and education. Data science requires both domain knowledge and a broad set of quantitative skills, but there is a dearth of literature on the topic and many questions. We call for research on skills that are needed by SCM data scientists and discuss how such skills and domain knowledge affect the effectiveness of an SCM data scientist. Such knowledge is crucial to develop future supply chain leaders. We propose definitions of data science and predictive analytics as applied to SCM. We examine possible applications of DPB in practice and provide examples of research questions from these applications, as well as examples of research questions employing DPB that stem from management theories. Finally, we propose specific steps interested researchers can take to respond to our call for research on the intersection of SCM and DPB.     

Click Here for a Data Scientist: Big Data,Predictive Analytics,and Theory Development in the Era of a Maker Movement Supply Chain

Predictive analytics is impacting many diverse areas, ranging from baseball and epidemiology to forecasting and customer relationship management. Manufacturers, retailers, software companies, and consultants are creatively discovering new applications of big data using predictive analytics in supply chain management and logistics. In practice, predictive analytics is generally atheoretical; however, we develop a 2 × 2 model to explain the role of predictive analytics in the theory development process. This 2 × 2 model shows that in our discipline we have traditionally taken one path to theory development, but that predictive analytics can be a salient component of a comprehensive theory development process. The model points to a number of research questions that need to be addressed by our research community. These questions are not just highly relevant to the academic community but also in urgent need of answers to help practitioners execute the right strategies with greater precision and efficiency. We also discuss how one disruptive trend, the maker movement, changes the nature of who the producers are in the supply chain, making big data even more valuable. As we engage in higher levels of dialogue we will be able to make meaningful progress addressing these vital research topics.     

Fit,Bias, and Enacted Sensemaking in Data Visualization: Frameworks for Continuous Development in Operations and Supply Chain Management Analytics

Data visualization has a critical role in the advancement of modern data analytics. Visualization lends assurances to data validity and completeness, as well as to the effectiveness of cleaning and aggregation tactics. It provides the means by which to explore and discover relationships otherwise hidden from default assumptions in statistical modeling. Strong visualization is also fundamental to end‐result conveyance and audience interpretation. But how can one ensure that strength? How can one avoid developing representations that are marginal in value, or worse misleading? In this paper, I will discuss theory, evidence, and practical approaches to managing data visualization development, viewing data visualization not simply as an outcome but as a continuous process and facet of organizational culture.     

Digital Analytics: Modeling for Insights and New Methods

Firms are increasingly turning towards new-age technologies such as artificial intelligence (AI), the internet of things (IoT), blockchain, and drones, among others, to assist in interacting with their customers. Further, with the prominence of personalization and customer engagement as the go-to customer management strategies, it is essential for firms to understand how to integrate new-age technologies into their existing practices to aid seamlessly in the generation of actionable insights. Towards this end, this study proposes an organizing framework to understand how firms can use digital analytics, within the changing technology landscape, to generate consumer insights. The proposed framework begins by recognizing the forces that are external to the firm then lead to the generation of specific capabilities by the firm. Further, the firms capabilities can lead to the generation of insights for decision-making that can be data-driven and/or analytics-driven. Finally, the proposed framework identifies the creation of value-based outcomes for firms and customers resulting from the insights generated. Additionally, we identify moderators that influence: (a) the impact of external forces on the development of firm capabilities, and (b) the creation of insights and subsequent firm outcomes. This study also identifies questions for future research that combines the inclusion of new-age technologies, generation of strategic insights, and the achievement of established firm outcomes.     

Discrimination, Harassment, and the Glass Ceiling: Women Executives as Change Agents

In this article, we discuss the relationships between discrimination, harassment, and the glass ceiling, arguing that many of the factors that preclude women from occupying executive and managerial positions also foster sexual harassment. We suggest that measures designed to increase numbers of women in higher level positions will reduce sexual harassment. We first define and discuss discrimination, harassment, and the glass ceiling, relationships between each, and relevant legislation. We next discuss the relationships between gender and sexual harassment, emphasizing the influence of gender inequality on sexual harassment. We then present recommendations for organizations seeking to reduce sexual harassment, emphasizing the role that women executives may play in such efforts and, importantly, the recursive effects of such efforts on increasing the numbers of women in higher level positions in organizations.     

Regional Economic Data from Federal Government Agencies: Availability and Access

Business Economics - An overview of federal government sources for economic data     

Trade Unions as Agents for Skill Formation: The Case of Singapore

Trade unions can influence the quality and quantity of training provided to workers. This article delineates the role played by unions in Singapore’s skill formation system, during the 1980s and 1990s. This role is framed by the context of the developmental state and of a collaborationist union movement. Singapore unions act to support the state’s drive to upgrade the skills of the workforce. They put pressure on employers to sign up to collective agreements including statements about training, and they act as both agents and providers of training and education for basic and core skills. They also devote considerable resources to persuading their members to take up training opportunities. What evidence there is suggests that these various strategies have had some success. The unions’ role in Singapore is contrasted with their role in some other countries.     

移动智能数据业务网络功能模型的研究与设计

知识经济使知识成为第一生产要素,人力资源会计对传统会计的资产内容、权益的确认及收益的分配、会计平衡公式等理论带来了巨大的冲击。人力资源会计的模式包括:人力资源成本会计、人力资源价值会计、人力资源权益会计。现阶段在我国逐步推行人力资源会计是可行的,但有许多迫切需要解决的问题。     

Mobile Shoppers: Types,Drivers, and Impediments

The technology adoption of mobile commerce has frequently been studied by considering the extended technology acceptance model (TAM). However, the role of the perceived drivers and impediments affecting potential mobile shoppers' acceptance has been scarcely analyzed. This article highlights: (1) the typology of potential m-shoppers described by their reasons for, and perceived impediments to, mobile shopping and (2) the possible differences in the extended TAM in the resulting categories. In order to do so, we advance a single hypothesis about moderation of the m-shopper type on the relationships presented in the extended TAM. The study was conducted in Spain, a country with significant current and forecasted use of mobile shopping. Data from 476 Spanish mobile phone users were analyzed. The use of latent class cluster allowed us to identify three types of mobile shoppers that show different profiles based on their perception about drivers and impediments. Differences in the extended TAM relations across the clusters were identified using the multigroup approach of structural equation models. The results show support for the moderation effect, providing valuable information for practitioners to understand how consumers develop mobile shopping intentions, which is necessary to implement effective marketing strategies.     

口岸数据处理机房通风空调设计思考与实践

本文旨在为从事口岸机房建设和日常管理的非暖通专业IT人员,在实施机房建设与运维的国标、海关行标方面提供一些帮助。结合ASHRAE TC 9.9,笔者从环境、系统结构、气流组织、温湿度控制等角度提出建议,并给出一些底层思考。     

出口开放、市场邻近与异质性企业工资差距——基于中国工业企业数据的实证研究

本文基于贸易引力方程和新经济地理学的研究框架,将出口开放纳入市场邻近指标的测算,利用中国区域间投入产出、地理距离和贸易数据,构建了城市层面出口内生的市场邻近指标。并在匹配企业数据和相关城市控制变量的基础上,通过两阶段最小二乘回归实证检验了其对企业工资差距的影响。研究发现:出口内生的市场邻近程度的改善有利于促进企业工资水平的提升,且引入控制变量和考虑内生性问题后的结果均十分稳健;但这对不同类型和不同地区企业的影响并不一致,出口内生的市场邻近水平的提升尽管会带动出口和高MA地区企业工资的上涨,但却不利于非出口和低MA地区企业工资的改善,从而扩大了企业工资差距。由此本文从改善出口开放与市场邻近水平入手,提出了化解企业工资差距难题的相关建议。     

Processing Advertising Information: Deception,Salience, and Inferential Belief Formation

Four recent FTC cases on deceptive advertising were used to examine Fishbein's concepts of attribute salience and inferential belief formation. The findings suggest that (1) attributes considered salient by the FTC may not be considered by consumers when making brand choices, (2) a truthful ad may lead subjects to form incorrect inferential beliefs about product attributes (therefore, such an ad may ultimately be deceptive), and (3) information contained in advertising is processed by subjects to discount exaggerated statements, thus reducing the credibility of the ad.     

Mobile Shopper Marketing: Key Issues,Current Insights,and Future Research Avenues

The intersection of mobile marketing and shopper marketing, known as mobile shopper marketing, is a rapidly evolving area. We formally define mobile shopper marketing as the planning and execution of all mobile-based marketing activities that influence a shopper along and beyond the path-to-purchase: from the initial shopping trigger, to the purchase, consumption, repurchase, and recommendation stages. However, not much is known about mobile shopper marketing. We plug this gap by first discussing mobile shopper marketing and its scope in depth and then presenting a process model that connects the mobile shopping journey with four key entities, i.e., shopper, employee, organization, and mobile technology. For each of these themes, we identify the challenges that offer future research opportunities.     

Multiple influences on corporate governance practice in Nigeria: Agents,strategies and implications

The literature on the convergence of corporate governance systems across different institutional contexts has often taken the role of ‘agents of convergence’ for granted. Against this background, we examine the influences of three major agents – international organisations, rating agencies, and local institutions – on the development of corporate governance practices in Nigeria. Findings indicate that the understanding and practice of corporate governance in Nigeria are in a flux and being pulled in multiple directions by the agents studied. This paper provides one of the very few studies utilising sub-Saharan African (Nigerian) data in international business governance research.     

Mobile advertising to Digital Natives: preferences on content,style, personalization,and functionality

Digital advertising is the fastest growing form of marketing. Within digital, mobile is the fastest growing medium. Mobile advertising occurs on any mobile device, such as smartphones and tablets. The upcoming generation of Digital Natives is especially prone to viewing mobile advertising. Digital Natives have grown up with digital communications; they use their smartphones to connect with the world and make purchases. Mobile advertising and Digital Natives are both new to the marketplace and, thus, research is scarce on both. This paper investigates the preferences of Digital Natives regarding mobile advertising. Several preferences were found and recommendations are provided.     

Culture,Perceived Value,and Advertising Acceptance: A Cross-Cultural Study on Mobile Advertising

Abstract

Adverting standardization has been widely discussed since 1990s. Recently, this discussion has been extended to mobile advertising. When it comes to adopt a standardization or localization strategy, it is important that marketers understand how mobile advertising is perceived in different markets. This study examines the impacts of four perceived values of mobile advertising on young Australian and Chinese consumers’ acceptance of mobile advertising. The findings suggest that perceived functional value have the most positive effect on mobile advertising acceptance, followed by credibility and interactivity value. Further analyses reveal that culture moderates the relationships between perceived values and advertising acceptance.     

Data mining: proprietary rights, people and proposals

This article focuses on the issue of data mining as it relates to the consumer and to the issue of whether the consumer's private information has any proprietary status. A brief review of data mining is provided as a background for a better understanding of the purposes and uses of data mining. Also examined are several issues of the ethics of data mining, including a review of stakeholders, who they are and which may be most seriously affected by unethical data mining practices. Several suggestions for the improvement of data mining as it relates to the consumer are further presented: suggestions that would allow for data mining that would be beneficial to both the business community and the consumer.     

Insurance Sales Agents and the Internet: The Relationship Between Opinion Leadership,Subjective Knowledge,and Internet Attitudes

The Internet offers a number of opportunities and threats for insurance sales agents. On the one hand, the Internet provides opportunities to communicate with and reach customers. However, it also introduces the risk of losing business to insurance providers or competitors. These opportunities and threats create a need to understand the characteristics that may affect the views of insurance agents regarding the Internet and its impact on their business. This paper compares insurance sales agents' scores on an opinion leadership scale (Flynn, Goldsmith, and Eastman 1996) and subjective knowledge scale (Flynn and Goldsmith 1999) with their attitudes toward the Internet. The results suggest that those insurance sales agents with a higher level of subjective knowledge about the Internet are more likely to be opinion leaders about the Internet. Both opinion leaders and those with higher levels of subjective knowledge have a more positive attitude about the Internet, but only the relationship with opinion leadership is significant. In addition, those insurance sales agents who are younger (than the approximate mean age of 46 years old) are more likely to be opinion leaders and have a higher level of subjective knowledge of the Internet. The results suggest that perceived knowledge and the willingness to discuss the Internet with others impact one's attitude of it, and that the younger insurance agents will play a leading role in how the Internet will be used.