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.     

Organizational career management practices and objective career success: A systematic review and framework

The theorization of the relationship between organizational investments in career development and individual success remains underdeveloped, and empirical tests of this relationship, which have been dispersed among several disciplinary areas, have produced inconsistent results. Addressing these issues, the purpose of this article is to propose a theoretical framework that illustrates why and how organizational career management practices translate into career success and under what circumstances the relationship is effective. Using a systematic review of empirical studies on career management practices and objective success, we identify three theoretical mechanisms - developmental, informational, and relational - and two groups of contingency factors that explain this relationship. Our framework advances the extant literature on organizational career management and provides suggestions to companies for designing effective career management systems.     

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.     

Reporting Performance: Comprehensive Income and its Components

The underlying question raised in this article is: why is the accounting profession's conceptual framework (CF) so authoritative when it is conceptually incoherent? A supplementary question is how can ‘conceptually robust’ accounting standards be derived from an incoherent framework? This article draws on Page and Spira's (1999) contrasting framework metaphors to suggest that the appearance of conceptual robustness is more important than the reality, and illustrates the point with the International Accounting Standards Board's (IASB’s) progress report on its reporting performance project. Some inherent weaknesses in the move towards internationally enforceable financial regulations have been acknowledged, but this article suggests the IASB's project demonstrates two additional weaknesses: internal incoherence, and the potential for political ends to drive supposedly technical regulations.     

广州旅游文化资源开发总体构想框架

城市现代化过程中的趋同化问题，引好了广州市政府推动旅游与城市文化结合的思路和政策导向。文中分析了广州市开发此类资源的潜力和优势，提出了广州市旅游文化资源开发构想框架，并由微观、中观到宏观的探讨，提出了近期操作切入点的选择、旅游线网片开发的思考、整合城市优势和凸现岭南文化特色等方面的建议。     

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。