Digitalisation,automation and upgrading in global value chains – factory economy actors versus lead companies

This article investigates the differences in the application and impact of digital technologies between manufacturing subsidiaries and lead companies, the principal orchestrators of global automotive value chains. Utilising a dataset of 10 in-depth interviews with automotive industry actors, we analyse headquarters–subsidiary differences in the patterns of digitalisation-driven upgrading. A theoretical framework is offered that explains why the significant upgrading achievements of manufacturing subsidiaries deploying industry 4.0 technologies will not reduce the gap between lead companies and manufacturing subsidiaries in terms of value generation. We show that the concept of ‘industry 4.0’ is much narrower than that of ‘digitalisation’ and transition to smart factories is only part of the digital transformation story. Industry 4.0 technologies contribute to the upgrading of operations, and enable subsidiaries to take on production-related knowledge-intensive assignments (functional upgrading). Conversely, digitalisation serves lead companies’ strategic differentiation efforts, and facilitates achieving competitive advantage: the latter are crucial for value capture.     

Blockchain in Additive Manufacturing and its Impact on Supply Chains

Additive manufacturing (AM) appears to be a particularly attractive use case for blockchain. This research combines inductive in‐depth interviews with the Delphi method to explore what potentials blockchain technology in AM creates, which adoption barriers firms need to overcome, and how supply chains will be affected by the integration of these two potentially disruptive technologies. The results suggest opportunities that are related to intellectual property (IP) rights management, the monitoring of printed parts throughout their lifecycle, process improvements, and data security. The most important barriers for blockchain adoption in AM are an absence of blockchain‐skilled specialists on the labor market, missing governance mechanisms, and a lack of firm‐internal technical expertise. By addressing important limitations of AM, blockchain is expected to improve the competitiveness of AM in parts’ production, catalyzing the trend toward more decentralized manufacturing resulting in more agile, resilient, and flexible supply chains and reduced logistics costs. Beyond that, blockchain‐based AM platforms are expected to enhance supply chain visibility, drive supply chain digitalization, support supply chain finance, and contribute to the emergence of shared factory systems.     

机构交叉持股对企业价值的影响

基于2007-2018年中国A股上市公司数据,本文考察了机构交叉持股对企业价值的影响及其作用机制。研究发现,机构交叉持股显著提高了企业价值,在考虑内生性问题和替换主要变量后结论依然较为稳健。交叉持股机构投资者能够成为更加积极的监督者,主动参与公司治理,缓解代理问题,同时促进同行业企业间产品市场协作,改善企业的产品市场表现,进而提升企业价值。此外,相比其他类型的投资者,长期、独立以及稳定型的交叉持股机构投资者对企业价值的促进作用更显著,进一步印证了监督治理渠道的作用。机构交叉持股推动产品市场协作,主要是通过提高企业创新能力和营业利润率。本文结论证实了机构交叉持股的正向协同效应,对完善中国资本市场制度体系和促进企业可持续发展具有重要意义。     

从疫情看中美关系:表现、原因及对策

在2020年暴发的新冠肺炎疫情中,中美本应借机缓和前期的贸易冲突危机,但美国不仅没有缓和与中国的关系,反而从医疗产品进口、供应链转移、舆论战等方面,加大与中国的分歧,这背后的原因包括:美国对中国的战略打压、借机转移国内矛盾、中美发展模式之争,以及科技竞争加剧等。为此,本文建议中美之间增进相互信任,中国应谨防陷入美国的话语陷阱,专注于解决自身国内问题,以及加强底线思维,做好最坏打算。     

Price and RevPAR determinants of Airbnb listings: Convergent and divergent evidence

This paper explores the performance determinants of Airbnb listings, analyzing three research questions. First, the study investigates the different effects generated by the antecedents on price and revenue; second, it ranks different groups of variables; third, it distinguishes between private rooms and entire homes or apartments. These research questions are addressed by analyzing Airbnb listings in Milan, a business city where the sharing economy is growing fast. In particular, the study will use the monthly data of all Airbnb listings in Milan recorded by AirDNA during the period from November 2014 to June 2019, which consists of 323,184 total observations. Some hedonic price models are calculated, adding the Shapley value approach. Empirical findings show some important differences between price and revenue determinants. Furthermore, listing type and size, along with location and seasonality, are by far the most important factors that explain performance differentials among Airbnb properties.     

装配式房建PC建筑的发展价值与发展方式

本文针对装配式房建PC建筑的发展价值与发展方式,采用理论结合实践的方法,先分析了目前我国装配式房建PC建筑的发展现状,接着探讨了发展装配式房建PC建筑的价值,最后探究了发展装配式房建PC建筑的方式。分析结果表明,装配式房建PC建筑是我国建筑史上的一次大变革,契合绿色、低碳、环保等新时代理念的要求,具有良好的发展价值。     

Low-carbon decision-making model of online shopping supply chain considering the O2O model

A demand function of online shopping supply chain based on online-to-offline (O2O) fusion degree is proposed by considering the low-carbon awareness of online shoppers in view of the low-carbon decision making of supply chain in combination with the O2O operation background. On this basis, a low-carbon decision-making model based on online stores and their suppliers is established, and the application of the model is analyzed. Results show that the promotion of low-carbon operation is efficient when the consistency of online and offline operations of online stores and their suppliers is high. In addition, the decision making considering the cost of carbon information release is highly conducive to improving the low-carbon awareness of online shoppers if the low-carbon level of online shopping goods is lower than the low-carbon standard. Accordingly, the low-carbon operation of online shopping supply chain will be promoted.     

Perception value of product-service systems: Neural effects of service experience and customer knowledge

Digital trends in product-service system (PSS) development focus on developing win-win solutions for both companies and customers, particularly when considering human behavior issues. It is useful for the PSS provider to know the PSS value creation mechanism when customers are buying and utilizing a PSS, particularly in the service-dominant logic (SDL) and cognitive neuroscience perspective. This study solved the PSS implementation that satisfied the demands of both customers and manufacturers and the value cocreation mechanism during product and service configuration with the impacts of consumer learning and the service experience. The proposed neuroscience methodology is based on an ERP (event-related potential) experiment using PSS stimuli, representing the perception value creation process during customer decision making and the PSS configuration process. The effectiveness of the service experience is more important than customer knowledge during PSS value perception due to positive emotions with pleasant memories for the service experience and the conflicting cognition process of customer learning. The combination of service science and neurology may measure and observe human behavior and psychology through the brain science method and effectively solve the human factors in service science. The findings suggest a more objective and personalized understanding of PSS value perception, particularly the practical requirements of a resulted-oriented PSS and an application-oriented PSS.     

Between a rock and a hard place: Seizing the opportunity of demanding customers by means of frontline service behaviors

Service businesses are increasingly facing more demanding customers as a result of a shift in power from the service providers' side to the customers' side. Related literature predominantly examines the negative side of this ongoing trend, while overlooking the positive side. The major aim of this paper is to examine how frontline employees — investment account managers — deal with the ongoing increase in customer demandingness. To address this, we draw on adaptability performance theory to test the facilitating effect of frontline employees' post-transaction service behaviors (SBs) — diligence, inducements, information communication, sportsmanship, and empathy — as a means of adaptation to higher levels of customer demand. Findings indicate that frontline employees adapt most of their SBs' intensities to match customers' demands. The results show that some SBs actually increase the effectiveness and efficiency of frontline employees' service performance, leading to an increase in customer value and satisfaction. Customer value is found as a mediator in some of the relationships between SBs and customer satisfaction. Contrary to the conception of the negative outcomes of customer demandingness, service firms need to consider taking advantage of customer demandingness by stressing the role of frontline employees in adapting to customers’ demands.     

Exploring the role of extrovert-introvert customers’ personality prototype as a driver of customer engagement: Does relationship duration matter?

Drawing on social exchange theory, the current study examines new drivers and their associated processes of customer engagement. In spirit, the study tests the direct and indirect impacts of the extraversion–introversion personality trait on customer engagement. The study takes into consideration the contingency role of time by testing the moderating role of relationship duration. Results demonstrate that the more extraverted customers are, the more they are likely to engage with service firms. Further, extraversion is positively related to customer–employee interaction, which in turn leads to more utilitarian and hedonic values perceived by customers. Both types of value, then, induce higher customer engagement behaviors in terms of customer referrals, knowledge sharing, and social-influence. Findings demonstrate that relationship duration moderates some of the examined relationships. The current study contributes to the literature by extending the knowledge on customer engagement's predisposition and social causes.