Decision analytics mobilized with digital coaching

The context to be addressed is the digitalization of industry and industrial processes. Digitalization brings enhanced customer relationships and value‐chain integration, which are effective instruments to meet increasing competition and slimmer margins for productivity and profitability. Digitalization also brings more pronounced requirements for effective planning, problem solving and decision making in an increasingly complex and fast‐changing environment. Decision analytics will meet the challenges from the growing global competition that major industrial corporations face and will help solve the problems of big data/fast data that digitalization is generating as a by‐product. A mantra is appearing in business magazines – that powerful, intelligent systems will be effective tools for the digitalization of industrial processes – but much less attention appears to be paid to the fact that users need advanced knowledge and skills to benefit from the intelligent systems. First, an effective transfer of knowledge from developers, experts and researchers to users (including management) will be needed; second, the daily use and operations of the systems need to be supported, as automated, intelligent industrial systems are complex to operate. We look at this transfer as knowledge mobilization and will work out how the mobilization can be supported with coaching; this coaching needs to be digital, as human coaches are both scarce and too expensive to employ in large numbers.     

Attitudes of ageing passengers to air travel since the coronavirus pandemic

The coronavirus pandemic has had a devastating impact on the demand for air transport. One passenger segment that has received relatively little attention is ageing passengers (defined as aged 65+), in spite of the fact that this group has been disproportionately affected by COVID-19, and in recent years has been viewed as a potential growth market. Therefore, the aim of this brief paper is to analyse the attitudes of ageing passengers by assessing air travel plans in the next 12 months, examining the factors influencing future flying decisions, and investigating the impact of the coronavirus pandemic on perceived risks and experiences associated with flying. The findings show that over 60% of ageing passengers are planning to travel by air in the next 12 months, although the nature of their trips may change. Factors such as flexible ticket booking and quarantine rules do not appear to be key drivers affecting travel decisions and within the different stages of the air journey, getting to/from the airport is perceived as the safest stage. The findings suggest that there are various COVID-19 implications for airlines and airports serving this market segment, ranging from the use of self-service technology, the generation of commercial/ancillary revenues and the design of surface access policies.     

The Limitations of International Relations Regarding MNCs and the Digital Economy: Evidence from Brazil

ABSTRACT

Multinationals (MNCs) have been considered a relevant research topic for International Relations since the emergence of the field of International Political Economy in the 1970s. Nowadays, MNCs are undergoing deep changes in their business models and global strategies due to the digital economy. This has considerable implications for the international system. For instance, the rise of information and communication technology (ICT) MNCs to the top of market value lists globally. Nonetheless, IR scholars have been slow in grasping the importance of ICT MNCs and the digital economy. In this paper, I justify this statement by evaluating the inclusion of MNCs and ICT MNCs in Brazilian IR scholarship. The method used is a bibliometric mapping of the scientific production of Brazilian IR scholars, supported by a systematic literature review. The results showcase that, in spite of the impact of digitalization on Brazil's economy and politics, IR scholars have conducted few studies on MNCs and practically no studies on ICT MNCs. This case illustrates the emergence of new dynamics in global value chains triggered by digitalization. It also illustrates the challenges for developing countries such as Brazil to engage in global production networks within the highly competitive ICT sector.     

欧盟视阈下在线平台中个人数据的增值税处理

近年来,在线平台的迅猛发展推动了全球经济数字化加速转型,但同时也引发了包括增值税政策适用在内的诸多挑战.通过研究《欧盟增值税指令》和欧州法院的判例法,以及分析个人数据与在线平台运行之间的关系可以推断出,个人数据是在线平台提供访问服务构成的增值税应税范围内的供应,且与消费者是否向在线平台支付金钱形式的对价无关.在实践中,使用客观价值方法来确定在线服务供应的应税金额存在实际困难,而使用直接联系标准解决易货交易问题,会导致增值税税基在本质上得到扩张.因此,建议当前不要将在线平台访问服务的供应视为一项应税交易.此外,对于商家为获得消费者数据而向平台付款的情形,因其不符合直接联系标准,也不应被视为服务对价.     

数字经济下生鲜供应链创新机理与路径

立足于生鲜供应链发展实际，文章总结归纳了数字经济时代生鲜供应链的变革需求和创新机理与路径。研究表明，数字经济时代生鲜供应链创新就是以用户为中心、数字化赋能生鲜供应链实现跨职能协同的创新，目的是破解传统生鲜供应链供需信息延迟的痼疾，提升供应链效率，构建数字化、智能化、高效化和生态化系统。具体而言,顾客感知价值、数据资产价值和经营主体利润是其价值来源渠道；数字化技术是生鲜供应链创新的支撑工具；数字化技术对传统生鲜供应链赋能、数字化技术及思维与现代生鲜供应链的深层融合是生鲜供应链创新的关键路径。文章的研究结论在丰富数字经济与生鲜供应链创新融合研究理论的同时，可以指导生鲜供应链创新实践。     

Working capital (mis)management – impact of executive age

Several recent studies have used the upper echelons theory to explain the impact of personal traits of top executives on various corporate policies. In this, first of its kind, study we find that older executives invest more in working capital; take longer to convert inventories to cash; and pay their suppliers sooner. These findings are consistent with the argument that risk aversion increases with executive age. Our findings indicate that executive age has significant bearing on working capital management policies. This study also initiates new avenues in research relating behavioral aspect of executives with short‐term financial management.     

数字档案库参与“非遗”保护发展路径探析——以岭南传统艺术影像档案库为例

针对新时代非物质文化遗产传播和保护面对的现实问题，对非物质文化遗产传承和保护的数字化路径进行深入分析，对岭南传统艺术影像档案库参与非物质文化遗产保护和传承的实践研究得出，新时代的非物质文化遗产传播与保护应当充分运用数字化技术，借助新媒体平台为非遗保护传承赋能。通过创建非物质文化遗产数字化档案库的建设等多种方式，让数字化技术应用到非物质文化遗产的传承和保护当中。     

The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement

Academic literature retains a dearth of empirical evidence of the cutting-edge aspect of artificial intelligence (AI)-powered digital assistance and digital multisensory cues, despite the prospect of these factors on real-life customers' luxury brand online shopping experience. Thus, the aim of this study is to examine the significant pathway and effects of AI-powered digital assistance toward customers’ luxury brand online shopping experience. Drawing on S–O-R (Stimulus, organism, and response) and TRAM (Technology Readiness and Acceptance Model) paradigm, a multi-method research design was deployed to investigate constructs. Firstly, semi-structured interviews were utilized to explore customers' online behavior under the luxury brands and information technology aspect. Secondly, survey data were collected and analyzed by using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The PLS-based analysis of quantitative data confirmed the exploratory insights of qualitative findings, establishing the connections of AI-powered digital assistance, customer engagement, and customers' luxury brand online shopping experience. Research findings also suggest that customer engagement plays a mediation role in the relationship between AI-powered digital assistance and customers' luxury brand online shopping experience. Besides, digital multisensory cues moderate the relationship between AI-powered digital assistance and customer engagement. Further, fsQCA complements the findings of PLS-SEM that reveal the significant combination of factors that lead to the perceptions of customers' luxury brand online shopping experience.     

第斯多惠的教育目的观及其现实意义

德国19世纪著名教育学家第斯多惠,在他的文化适应性原则下所构建的教育目的观,包括了三个基本精神:国民教育思想、培养具有时代品质的人的教育思想和培养"全人"的教育思想.尽管他的教育目的观有其时代以及个人的局限性,但他看到了教育的社会功能和个体功能,这不仅在当时是进步的,而且对我们现在构建教育目的也是有启发的.     

Multi-population mortality models: fitting,forecasting and comparisons

We review a number of multi-population mortality models: variations of the Li & Lee model, and the common-age-effect (CAE) model of Kleinow. Model parameters are estimated using maximum likelihood. Although this introduces some challenging identifiability problems and complicates the estimation process it allows a fair comparison of the different models. We propose to solve these identifiability problems by applying two-dimensional constraints over the parameters. Using data from six countries, we compare and rank, both visually and numerically, the models’ fitting qualities and develop forecasting models that produce non-diverging, joint mortality rate scenarios. It is found that the CAE model fits best. But we also find that the Li and Lee model potentially suffers from robustness problems when calibrated using maximum likelihood.