How artificial intelligence will affect the future of retailing

Artificial intelligence (AI) will substantially impact retailing. Building on past research and from interviews with senior managers, we examine how senior retailing managers should think about adopting AI, involving factors such as the extent to which an AI application is customer-facing, the amount of value creation, whether the AI application is online, and extent of ethics concerns. In addition, we highlight that the near-term impact of AI on retailing may not be as pronounced as the popular press might suggest, and also that AI is likely to be more effective if it focuses on augmenting (rather than replacing) managers’ judgments. Finally, while press coverage typically involves customer-facing AI applications, we highlight that a lot of value can be obtained by adopting non-customer-facing applications. Overall, we remain very optimistic as regards the impact of AI on retailing. Finally, we lay out a research agenda and also outline implications for practice.     

Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities

Artificial intelligence (AI) has captured substantial interest from a wide array of marketing scholars in recent years. Our research contributes to this emerging domain by examining AI technologies in marketing via a global lens. Specifically, our lens focuses on three levels of analysis: country, company, and consumer. Our country-level analysis emphasizes the heterogeneity in economic inequality across countries due to the considerable economic resources necessary for AI adoption. Our company-level analysis focuses on glocalization because while the hardware that underlies these technologies may be global in nature, their application necessitates adaptation to local cultures. Our consumer-level analysis examines consumer ethics and privacy concerns, as AI technologies often collect, store and process a cornucopia of personal data across our globe. Through the prism of these three lenses, we focus on two important dimensions of AI technologies in marketing: (1) human–machine interaction and (2) automated analysis of text, audio, images, and video. We then explore the interaction between these two key dimensions of AI across our three-part global lens to develop a set of research questions for future marketing scholarship in this increasingly important domain.     

Forecasting unknown-unknowns by boosting the risk radar within the risk intelligent organisation

This theoretical perspective paper interprets (un)known-(un)known risk quadrants as being formed from both abstract and concrete risk knowledge. It shows that these quadrants are useful for categorising risk forecasting challenges against the levels of abstract and concrete risk knowledge that are typically available, as well as for measuring perceived levels of abstract and concrete risk knowledge available for forecasting in psychometric research. Drawing on cybersecurity risk examples, a case is made for refocusing risk management forecasting efforts towards changing unknown-unknowns into known-knowns. We propose that this be achieved by developing the ‘boosted risk radar’ as organisational practice, where suitably ‘risk intelligent’ managers gather ‘risk intelligence information’, such that the ‘risk intelligent organisation’ can purposefully co-develop both abstract and concrete risk forecasting knowledge. We also illustrate what this can entail in simple practical terms within organisations.     

Application of collective knowledge diffusion in a social network environment

ABSTRACT

We present a group dynamics model that shows knowledge integration as a process occurring over time. As each individual in the group contact others, his own knowledge changes, and over time the collective knowledge is obtained. This allows modeling knowledge diffusion in a social network and while the models presented in this paper are not competitive in that area, they approach the problem from previously unconsidered direction. We test the behavior of the model in a multi-agent simulation and we test a simple advertisement campaign in a social network. We provide discussion of elements needed for making model more competitive.     

Does price reflect emotional,structural or performance quality?

Three denim jeans products from the same manufacturer with differentiated pricing and labels (antiqued, sandblasted, and stonewashed) were used to determine the relationship between price and quality. Both qualitative and quantitative procedures were used to analyse the garments. All three jeans were made of twill weave with 3 × 1 repeat. Both structural and performance characteristics were compared using standardized tests. Analysis of variance was used to compare the selected structural and performance characteristics among the three jeans products. Tukey’s HSD tests were used for post hoc multiple comparisons for three jeans. The findings revealed that despite the fact that all three jeans products were from the same store, and that the fabrics used the same weave, degree and direction of twist, the jeans differed significantly for several structural and performance characteristics. Several possibilities for future research were explored.     

基于适应性商务智能的虚拟企业合作伙伴选择模型

合作伙伴选择是虚拟企业运行中至关重要的问题。迅速而准确地找到合适的合作伙伴并实现协调运作，直接影响到虚拟企业合作绩效和整体目标的实现。文章将环境感知和适应性商务智能理论引入虚拟企业合作伙伴选择中，提出了基于适应性商务智能的虚拟企业合作伙伴选择模型，设计了模型的基本架构，分析了模型的构成模块，探讨了模型的应用机理。     

Emotional and interpersonal competencies and leader development

A variety of recent leader development programs have focused on improving leaders' emotional and interpersonal competencies. Decades of leadership research suggest that these “people skills” are crucial for leader effectiveness. This paper reviews the history of these leader development programs as well as research on emotional and interpersonal competencies. Suggestions for grounding leader development programs in sound research on emotional and social competencies, as well as an agenda for future research on the development of leader emotional and interpersonal skills, are provided.     

90年代以来劳动力价值问题研究述评

文章概述了90年代以来理论界在劳动力价值的构成范围、劳动力价值的实现与按劳分配、智力劳动力工资的理论解释问题上提出的许多新的观点并作出了简要的评论。随着社会主义市场经济的发展，还有许多问题，如：劳动力价格背离价值的理论问题，劳动力价格高于价值的现实问题，劳动力的特殊性对劳动力价值的影响等值得深入探讨，以使劳动价值论更好地指导社会主义市场经济实践。     

The Bell Curve in Psychological Research and Practice: Myth or Reality?

The expression “the bell curve” designs both a kind of statistical distribution and the title of a famous and controversial book by Herrnstein and Murray. The first is so attractive that the second refers to it to give more credibility to its questionable theories on intelligence. The point is that, during the 20th century, the bell curve has assumed a more and more important role in psychological research and practice and have become both a reality and a myth. In the first case (reality) we can assist to appropriate applications of a real useful statistical concept. In the second (myth) we can have two kinds of attitudes: one attitude is typical of those researchers who search for normality in all their data and variables, just as Parsifal used to search for the Holy Graal (we call this “the Parsifal attitude”); the other is typical of those researchers who give normality for granted and act as if it were a Platonic Idea (we call this “the Plato attitude”). The article discusses the role of the normal distribution in psychological research and practice and shows how it can be dangerous to treat the bell curve as a God or an Idol.     

人工智能在商业银行中的应用研究

近年来,人工智能在商业银行的广泛应用提升了金融机构的服务效率,拓展了金融服务的广度和深度。人工智能技术在银行中的应用领域主要有通过精准客户画像提升获客能力,提升服务品质降低运营成本,实现低成本、差异化服务客户,进行金融预测和风险管理等。随着科技的发展,人工智能技术将会在金融领域得到爆发,商业银行应该提高对人工智能产业的金融服务能力及加快人工智能技术研究与运用,推进数字化银行建设。