How location choice influences innovation in MNCs has been the subject of controversy, and the examination of geographic concentration or dispersion is particularly insufficient. The question is, how will the decentralization or centralization of MNCs affect the communication and management of information among employees. To address this deficiency, this study introduces the concept of time synchronization and attempts to examine the relationship between MNCs location choice and corporate innovation quality from a new perspective. By gathering data from the Chinese internationalized firms, we found that time synchronization between parents and subsidiaries is positively associated with the innovation quality of parent firms, and the degree of digitization strengthens this positive relationship. This study underscores the crucial role of overlapping work time for employee interactions between parents and subsidiaries to acquire information in comprehending and absorbing overseas knowledge to improve the innovation quality of parent firms.

In the new situation of building an entrepreneurial ecosystem, faced with the global multi-agent competition of the system, how new ventures should integrate with the system, isomorphism, and use their own advantages to cultivate new venture resilience has become an important global issue. The purpose of this study is to explore the combined impact of digital transformation, entrepreneurial ecological orientation, and organizational structure on the resilience of new ventures. Based on qualitative comparative analysis (QCA), this study systematically explores the significant key conditions and configuration effects that affect the cultivation of new venture resilience. There are four types of configurations that help new ventures to cultivate resilience, namely: strategic change, flexible response, leadership niche and institutional logic. This study explores how these three dimensions interact to achieve high firm resilience, ultimately contributing to the research of resilience from the perspective of the entrepreneurial ecosystem.

Digital transformation improves the operational efficiency and perceptual capabilities of businesses and creates a foundation for fulfilling ESG responsibilities. The authors use the theories of technological innovation and dynamic capabilities and select a sample of 4054 listed companies with commercial integration of ESG rating data to explore the mechanisms through which digital transformation affects ESG performance. Dynamic capabilities are further divided into innovation changeability (IT), coordination integration capability (CI), and learning absorption capability (LA) to investigate the mediating effects and summarize the causal path of “digital transformation - dynamic capabilities - ESG performance.” The research focuses on the impact of digital technology on ESG performance with the aim of helping businesses utilize technology more effectively to build dual competitive advantages in digitization and ESG.

At present, the application of blockchain is still at the level of private chain, lacking of systematicness and comprehensiveness, neglecting the participation process of multi-agent stakeholders, and the overall application system is not clear. This paper aims at applying the blockchain technology to the field of e-agriculture, building the hierarchical theoretical framework of e-agriculture, and revealing the impact of blockchain on e-agriculture. Through dividing the hierarchy, this paper finally structures an innovative service UIS application system for e-agriculture using blockchain technology. The main conclusions are as follows: (1) the first step is to solve social problems; (2) economic tasks are influenced by social problems and focus on smart contracts; (3) sustainable improvement of environmental problems requires a balance between economic and social dimensions; (4) application system is constructed at the three levels of unity, information, and supply chain.

This paper aims to expand the acceptance of the AI Virtual Assistant model from the perspective of user’s cognition. Based on the 240 samples, we used multi-layer regression analysis to investigate the influencing factors and differential effects of users' acceptance of AI Virtual Assistant. The results show that functional cognition and emotional cognition of users are important influencing factors for an artificial intelligence virtual assistant. This provides a new perspective for user acceptance processes of the AI Virtual Assistant. We also examined the moderating effect of social norms between user cognition and AI Virtual Assistant. At last, a new AI acceptance model of AI Virtual Assistant was established.

With the rapid development of information technology, information security has been gaining attention. The International Organization for Standardization (ISO) has issued international standards and technical reports related to information security, which are gradually being adopted by enterprises. This study analyzes the relationship between information security certification (ISO 27001) and corporate financial performance using data from Chinese publicly listed companies. The study focusses on the impact of corporate decisions such as whether to obtain certification, how long to hold certification, and whether to publicize information regarding certification. The results show that there is a positive correlation between ISO 27001 and financial performance. Moreover, the positive impact of ISO 27001 on financial performance gradually increases with time. In addition, choosing not to publicize ISO 27001 certification can negatively affect enterprise performance.

Collecting and mining customer consumption data are crucial to assess customer value and predict customer consumption behaviors. This paper proposes a new procedure, based on an improved Random Forest Model by: adding a new indicator, joining the RFMS-based method to a K-means algorithm with the Entropy Weight Method applied in computing the customer value index, classifying customers to different categories, and then constructing a consumption forecasting model whose RMSE is the smallest in all kinds of data mining models. The results show that identifying customers by this improved RMF model and customer value index facilitates customer profiling, and forecasting customer consumption enables the development of more precise marketing strategies.

The purpose of this study is to reveal the dark side the Internet and establish a hierarchical framework to provide its governance path based on users' negative psychology. However, this hierarchical framework must consider unnecessary attributes and the interrelationships between the aspects and the criteria. Hence, fuzzy set theory is used for screening out the unnecessary attributes, a decision-making and trial evaluation laboratory (DEMATEL) is proposed to manage the complex interrelationships among the aspects and attributes, and interpretive structural modeling (ISM) is used to divide the hierarchy and construct a hierarchical theoretical framework. The results show that: (1) the institutional system is the driver of Internet governance improvement (2) personal values are the last link in the governance process (3) the governance transition from institutional system to values must cross the barriers of ethics and technology. This paper proposes a more systematic and integrated hierarchical framework which provides theoretical guidance to govern the dark side of the Internet.

Face emojis are regularly used in reviews on online shopping sites to add richness and/or levity to the text. However, few researchers have investigated the use of face emojis in consumer reviews. This paper examined the effects of the number of face emojis (none, one, and three) in user-generated reviews (UGRs) on trustworthiness and purchase intention. They found that the number of face emojis in UGRs has a profound impact on consumers. A greater number of face emojis correlates with a greater degree of review trustworthiness. However, the effect of emojis on purchase intention changes depending on the situation. Additionally, when there is a profile picture, consumers pay more attention to it, and the positive effect due to face emojis disappears. Moreover, the gift giver-recipient relationship moderates the effect of face emojis on user decisions. The findings of our work have theoretical and managerial implications with respect to providing a new means of understanding consumer perceptions of products, from which business can benefit by improving sales and policies.

Factors affecting online businesses are complicated and intertwined. To stimulate online sales, understanding of key influential factors and causal relationships among the factors is important. This paper introduces a hybrid method, called the DANP method, to expose the driving factors that most influence the online businesses. A hierarchy of fourteen criteria in six dimensions is formed to denote the influence levels and weights of factors. The causal graph shows that “Uncertainty” dimension has the highest degree of direct impact on other dimensions; thus, strong efforts should be made to eliminate the influence of this dimension throughout the online shopping process. In addition, the results also show “perceived price” to be the greatest important criterion among all; thus, it should be treated with top priority to boost the online businesses.

The purpose of this study was trying to explore the influence and relationship between knowledge transfer usefulness, management, initiative, and innovation. The instrument was constructed through literature review and related research scales. Total 26 items were retrieved from related study and modified dependent on exports' recommendations. Total 1,012 valid data were collected based on judgment sampling. The Cronbach's a of instrument was ranged from .878 to .948. The construction validity test was passed. The analysis result shows that knowledge management play strong partial mediator role between knowledge transfer usefulness and knowledge innovation, meanwhile, knowledge transfer usefulness was also the important predictor to knowledge innovation. Hence, the proactive knowledge transfer has moderation effects between knowledge management and knowledge innovation. The research model was established and some conclusions and suggestions were discussed base on the research findings.