Journal of Digital Economy最新文献

In the context of the digital age, digital transformation provides new inspiration and direction for enterprise investment. This paper examines the potential mechanisms through which digital transformation affects corporate inefficient investment with the data from 2011 to 2019 of Chinese listed enterprises. Specifically, the findings indicate that digital transformation effectively curbs underinvestment by alleviating the pressure of financing constraints and inhibits overinvestment through regulating earnings management. Further analysis of the heterogeneity of industrial difference and property right unveil that the inhibitory effect of digital transformation on underinvestment and overinvestment in non-state-owned and manufacturing enterprises is more substantial than that in state-owned and non-manufacturing enterprises. These findings provide some insights for enterprises to optimize investment decisions by promoting digital transformation.

In the era of digitalization, market dynamics are ever more intense, prompting firms to accelerate their innovation efforts. This paper analyzes the relationships between industrial internet platform firms' ESG performance, digital leadership, inter-firm relational trust, inter-firm digital trust, and user firms' innovation performance through questionnaire surveys carried out with multiple industrial internet platform users' managers and utilizing empirical analysis methods. We have discovered several important conclusions through our research. Firstly, platform firms' ESG performance and digital leadership positively influence inter-firm relational trust and digital trust. Secondly, inter-firm relational trust and digital trust both have a significant positive impact on user firms' innovation performance, with digital trust exerting a more pronounced impact. Thirdly, inter-firm relational trust and digital trust play a mediating role between platform firms' ESG performance and user firms' innovation performance, as well as between platform firms' digital leadership and user firms' innovation performance. This study expands the existing body of research on inter-firm trust, elucidates the underlying mechanisms linking platform firms' ESG performance, digital leadership, and user firms' innovation performance, and offers valuable insights for enhancing platform firms' ESG performance, inter-firm trust, and user firms' innovation performance.

Digital platforms research is divided into two streams namely, the architectural/information technology stream, and the management/economics stream. Despite several calls to merge them, research efforts remain limited. Examining digital platforms' architecture can provide valuable insights into the management of platform organizations, but management scholars have been inattentive to the "digitality" inherent in platforms, resulting in a research gap. This conceptual work addresses that gap by showing how three types of digital architectures (viz. Ancillary, Additive, and Autonomous) influence four types of value-offerings of a platform (viz. Applications, Physical products, Services, and Content) and their implications for the engagement of users and complementors in the platform's business model. Using sociomateriality theory, it shows how the sociomaterial properties of digital architectures (represented by their “openness” and “generativity”) result in three distinct architectural roles that have significant implications for a platform's management of four different value-offerings. In doing so, it uncovers a significant relationship between digital architectures (i.e., I.T.) and business models (i.e., Management), thereby identifying the connection between the two diverse platform research streams and introducing a framework for management scholars to examine the “digitality” of platforms. More importantly, it reveals the critical role of a platform's digital architecture in determining the products/services, business models and governance mechanisms for a platform business, and develops several propositions for future research.

The increasing advancements in artificial intelligence (AI) technology have resulted in greater adoption of intelligent devices, such as industrial and service robots. Such context substantially influences the routine processes of operations, thereby promoting the ongoing evolutionary development of human-machine interaction. Here, we analyze an interesting article published in the Academy of Management Review (AMR) by Ayenda Kemp, who proposes the concept of situated AI for discussing AI-driven competitive advantages. In our alternative framework of situating AI in the organization, we identify three aspects of the human-machine relationship—cohesion, autonomy, and equality—and associate them with three redefined situating activities—anchoring, bounding, and calibrating, to bring the full potential of AI to an organization. We believe this defined framework can further contribute to relevant literature in the field of digital economy.

COVID-19 has brought unprecedented impacts on global logistics and left supply chain management on the verge of collapse, which highlights the research importance of supply chain resilience (SCRE). To provide more insights into SCRE in the pandemic context, this paper uses information processing theory (IPT) as a theoretical lens and attempt to explore how SCRE can be achieved through information processing ‘fit’, that is, the fit between information processing capability and its information processing capability. We conducted a single-case analysis by choosing Zong-Teng Group, one of the biggest cross-border e-commerce enterprises in China, as our sample. Data were mainly collected from interviews with Zong-Teng’s managers and open online resources. Through this single-case analysis, this paper identifies supply chain collaborative innovation as a new mechanism between information processing ‘fit’ and SCRE. Specifically, a firm’s information processing ‘fit’ can lead to three modes of innovative collaborations (i.e., technology, management and market innovation), which further improves SCRE. These findings provide some valuable implications for both researchers and practitioners in operations and supply chain management (OSCM) realms.

This study comprises a systematic literature review that offers a thorough analysis of the present state-of-the-art knowledge regarding the adoption and application of blockchain technology within the context of supply chain management. Based on an extensive review of 133 articles from highly-regarded journals, we developed a framework where we highlight the integration of the transition from blockchain technology adoption to its application. This transition process is explained by two theories: the Technology Acceptance Model and the Diffusion of Innovation Theory. In the adoption phase, we identified eight internal drivers and seven external drivers, together with comprehensive barriers. Our framework also integrates and examines the blockchain technology application stage, focusing not only on the current development of benefits of blockchain technology implementation but also on the challenges that impede the successful implementation of blockchain technology in supply chain management. The future development prospects are also highlighted which include standardization, platform development, regulation system development, cost reduction, and talent cultivation. These future developments were critical yet were missing in the current academic literature. By providing an in-depth analysis of these challenges, our study can assist supply chain practitioners in making informed decisions about blockchain-enabled supply chain management initiatives.

In recent years, our food supply chain facing various disruptions shows a need for higher resilience and sustainability. To better prepare for future uncertainties the food supply chain may encounter, it is imperative to understand the status quo of the food supply chain resilience literature, which focuses on deploying digital technology and integrating sustainability in supply chain management. Motivated by this, our study critically reviews the literature on food supply chain resilience against different types of disruptions, identifies research gaps, and provides a reference for the food supply chain to respond to uncertainties more effectively through digital technology and sustainability integration. To fulfil this objective, we perform a systematic literature review of academic journal articles from 2010 to 2020. Our study is novel in investigating different potential strategies to respond to various disruptions, emphasising the role of digital technologies and sustainability. The findings complement existing literature on supply chain resilience and serve as guides to supply chain practitioners facing disruptions. In addition, we investigate possible ways of adopting and optimising digital technologies to enhance food supply chain resilience and indicate areas where a sustainable future can be achieved through a more resilient food supply chain powered by digital innovations.

COVID-19 has been an exogenous shock for several businesses. Pandemic pushed firms to operate in an uncharted territory. Firms had to adapt quickly to survive in an unpredictable market and in conditions of uncertainty further fueled by political instability and environmental challenges. Based on a quantitative survey carried out during the pandemic period, the study aims at assessing how small and medium-sized enterprises (SMEs) responded to the challenges emerged during the COVID-19 outbreak, focusing on diversification and servitization strategies to outline potential new theoretical insights related to these strategies developed in turbulent times considering the function of digitalization in this respect. Through a cluster analysis the study identifies 4 groups of firms (unresponsive, defender, analyzer and prospector) that have shown different responses to the crisis related to diversification and servitization, highlighting the key role of digital technologies (both ICT and Industry 4.0) as well as of customers. The findings allowed to define theoretical and practical implications.

In the context of China's rapidly growing digital economy, exploring the potential to reduce carbon emissions from the perspective of enterprise digitization is of vital practical significance for achieving ambitious "carbon peak" and "carbon neutrality" goals. This paper uses data from A-share listed companies as a sample pool spanning the years 2014–2020 and finds that a nonlinear, inverted U-shaped relationship exists between enterprise digital transformation and carbon emissions. We further construct several robustness tests and show that the effect remains significant after accounting for the endogeneity issue using IV regressions. Heterogeneity analysis indicates that the effect of digital transformation on carbon emissions is influenced by the regional economic development level and the ownership structure of enterprises. Notably, in non-state-owned enterprises and economically advanced regions, the influence of digital transformation on carbon emissions becomes more pronounced. This paper provides explicit policy implications. It is suggested that enterprises accelerate their digital transformation by integrating smart device development into their production and operations and government should give support to digital transformation to facilitate industrial upgrading, and further promote China's pursuit of high-quality and sustainable economic development.

The arrival of “Internet Plus” and the 5G era has brought rapid digital transformation. Many scenic spots in China are conforming to trends of the times by embarking on this transformation and beginning to become smart scenic spots. Yet these sites continue to face challenges in the process of smart construction. Moreover, theoretical guidance on the smart construction of scenic spots is lacking. We adopted a questionnaire survey method to study smart construction at 5A and 4A scenic spots in China. Based on the results, we established a smart scenic spot evaluation system via the Delphi method and the analytic hierarchy process. Our proposed system included infrastructure construction, smart service, smart management, and smart marketing as primary indicators. With the help of a geographic information system, we also discovered that scenic spots' locations influence smart construction. Findings can inform countermeasures and evaluation standards for China's smart scenic spot construction, offering guidance for improving sites' smartness.