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Existing studies have paid less attention to the impact of knowledge accumulation on digital transformation and its boundary conditions. Hence, this study aims to investigate the effects of ambidextrous knowledge accumulation on manufacturing digital transformation under the moderation of dynamic capability.

This study divides knowledge accumulation into exploratory and exploitative knowledge accumulation and divides dynamic capability into alliance management capability and new product development capability. To clarify the relationship among ambidextrous knowledge accumulation, dynamic capability and manufacturing digital transformation, the authors collect data from 421 Chinese listed manufacturing enterprises from 2016 to 2020 and perform analysis by multiple hierarchical regression method, heterogeneity test and robustness analysis.

The empirical results show that both exploratory and exploitative knowledge accumulation can significantly promote manufacturing digital transformation. Keeping ambidextrous knowledge accumulation in parallel is more conducive than keeping single-dimensional knowledge accumulation. Besides, dynamic capability positively moderates the relationship between ambidextrous knowledge accumulation and manufacturing digital transformation. Moreover, the heterogeneity test shows that the impact of ambidextrous knowledge accumulation and dynamic capabilities on manufacturing digital transformation varies widely across different industry segments or different regions.

First, this paper shifts attention to the role of ambidextrous knowledge accumulation in manufacturing digital transformation and expands the connotation and extension of knowledge accumulation. Second, this study reveals that dynamic capability is a vital driver of digital transformation, which corroborates the previous findings of dynamic capability as an important driver and contributes to enriching the knowledge management literature. Third, this paper provides a comprehensive micro measurement of ambidextrous knowledge accumulation and digital transformation based on the development characteristics of the digital economy era, which provides a theoretical basis for subsequent research.

The purpose of this study is to explore how digital construction policy (DCP) drives enterprise green innovation (EGI) from an information processing theory (IPT) perspective, including the mediating mechanisms of market information accessibility and operational risk, the moderating role of intellectual property protection (IPP) and product market competition (PMC) and the heterogeneous effects of ownership, Internet development and managerial ability.

Based on the matched panel data of A-share listed enterprises from 2011 to 2019 and the Broadband China policy as a quasinatural experiment, this study investigates the impact of DCP on EGI by constructing a multi-time point difference-indifferences (DID) model.

Digital construction policies can significantly promote EGI. DCP works in two fundamental ways, namely by increasing market information accessibility and reducing operational risk. IPP and PMC significantly increased the contribution of digital construction policies to EGI. Heterogeneity analysis found that digital technology has a stronger promotion effect for SOEs, high-managerial-ability enterprises and enterprises in regions with low Internet development levels.

The study provides new insights about the antecedents of EGI from a DCP perspective. It also enlightens emerging economies to actualize green innovation under the digital wave.

From the perspective of IPT, this study explains the mechanism of DCP-driven EGI. It enhances understanding of the relationship between DCP and EGI.

The intelligent connected vehicle (ICV) is an important trend in automobile development, but little research has been conducted on the technological differences in the ICV industry across countries. In this regard, the authors select China, the United States (US) and the European Union (EU) as countries with developed ICV industries to reveal these differences based on the perspective of subdivision technology.

The authors use logistic regression to fit lifecycles at technology level and country level based on ICV-related patents from China, the US and the EU, then use the Revealed Technological Advantage (RTA) index, Fast-Growing Specialization Index (FGSI) and International Patent Classification (IPC) numbers to conduct comparison of national technology advantages, finally use the social network analysis to investigate the evolution of characteristics and intermediate nodes of each technology innovation network.

Technology lifecycles vary according to the subdivision technology and country. The global development of the ICV industry has reached the mature stage, and 2030 may be a watershed moment, ushering in a wave of new technology iterations. In various subdivision technologies, China and the US have more leading RTAs, and China and the EU have more leading FGSIs. Innovation networks in different countries expand with technology lifecycles, with that in China being the fastest. China's Universities, the US's enterprises and the EU's research institutes are active in cooperative innovation as intermediaries.

This is the first study to compare the development of the ICV industry in major countries from the perspective of subdivision technology and reveal characteristics of innovation networks in each.

This study aims to explore the effect of collaboration networks (domestic and international collaboration networks) on the innovation performance of small and medium-sized enterprises (SMEs). It also investigates the mediating role of business model innovation, the moderating role of entrepreneurial orientation and government institutional support between them.

Hierarchical regression analysis is adopted to test the hypotheses based on survey data provided by 223 manufacturing SMEs in China.

The results reveal that domestic and international collaboration networks positively affect SMEs' innovation performance. Business model innovation mediates domestic and international collaboration networks-SMEs’ innovation performance relationships. Entrepreneurial orientation positively moderates international collaboration networks–SMEs’ innovation performance relationship, and government institutional support positively moderates domestic and international collaboration networks–SMEs’ innovation performance relationships.

The findings indicate that managers of SMEs should invest in domestic and international collaboration networks and business model innovation to enhance SMEs' innovation performance. Moreover, entrepreneurial orientation and government institutional support should be valued when SMEs try to enhance their innovation performance by embedding in domestic and international collaboration networks.

This study broadens the authors' understanding of the relationship between collaboration networks and firms' innovation performance by classifying collaboration networks into domestic and international dimensions and investigating their direct impacts on SMEs' innovation performance. Besides, this study reveals how and when domestic and international collaboration networks influence the innovation performance of SMEs.

The study focuses on how to build long-term relationships with multi-channel agencies (MCAs) (dealers) who serve multiple manufacturers on a non-exclusive basis in a business-to-business (B2B) market. This study looks at the framework of relational benefits-commitment-long term orientation in a business-to-business context.

Data were collected from MCAs of three leading companies in the food distribution business. The survey used established scales to measure the relational benefits (core, operational, social and special treatment), commitment (affective and calculative) and long-term orientation (LTO).

The findings of the study show that core, social and special treatment benefits influence calculative commitment, and operational and special treatment benefits influence affective commitment. The study also supports that calculative and affective commitment play an important role in understanding the loyalty of MCAs.

The research examines how relational benefits impact commitment and loyalty among MCAs and manufacturers, in a non-exclusive relationship, in the business-to-business environment. This study incorporates social exchange theory (SET), relational benefits paradigm and commitment and long-term orientation in its framework and tests it within the food distribution industry. This study is the first of its kind to examine the effects of relational benefits on MCAs behavior in a food supplier–buyer setting.

Reciprocity has traditionally been overlooked in social exchange models of inter-firm relationships. Therefore, this research integrates reciprocity and its antecedents into a social exchange model of inter-firm relationships.

The authors collected primary data from a sample of firms in the Republic of Korea using a questionnaire. They also used covariance-based structural equations modeling to fit the model given the proposed conceptualization.

Both conceptually and empirically, adding reciprocity and its antecedents to the social exchange model produce results that differ from previously published papers. Specifically, reciprocity affects information exchanged indirectly through both credibility and benevolence trust. In addition, the effect of information exchange mediates the effect of trust on calculative and affective commitment.

The foundation of long-term inter-firm relationships is quality information exchange, which is based on the development of credibility and benevolence trust, which in turn is based on reciprocity. Thus, reciprocity is a key variable in relationship development.

To the best of the authors’ knowledge, this paper is among the first to combine reciprocity and its antecedents into a social exchange model that contains trust and commitment. This model provides a bigger picture of how firms develop long-term relationships with their partner firms.

Social commerce using social media has been on the rapid increase. Among various social commerce models, group-buying has become the mainstream. There is a paucity of research related to how customers perceive value in group-buying situations. This paper aims to examine and analyze various factors that influence perceived customer value in group-buying.

Data were collected using a survey on customers who had purchased a restaurant service deal on a group-buying site. A partial least squares technique was used to estimate the model.

Results show that perceived customer value affects customers’ group buying intentions and that all four antecedents of perceived value (low price, valence of experience, trust in social media and reputation of the group-buying site) have a significant influence. Implications and further research directions are discussed at the end of the paper.

This study provides valuable strategic implications for social commerce firms.

Starting from industry 4.0 in Germany and followed by the New Strategy for American Innovation in the USA and the smartization strategy in Japan, developed countries are pushing nation-wide innovation strategies. Similarly, China is pursuing the Made in China 2025, and Korea announced the Manufacturing Industry Innovation 3.0 strategy. However, few researchers have identified the industrial structure that establishes the foundation of the 4th Industrial Revolution or have derived strengths and weaknesses to provide implications on policy formulation through quantitative comparison with developed countries. Therefore, the purpose of this paper is to analyze the spillover effect of the information and communication technology (ICT) industry (the foundation of the 4th Industrial Revolution) and machinery·equipment industry (the foundation of smart manufacturing through convergence with ICT industry).

This study examines the industrial spillover effects of the ICT industry and machinery·equipment industry in the USA, Germany, Japan, China and Korea by using the World Input–Output Table from 2000 to 2014.

The results showed that backward linkage effect of the ICT Industry are high in the order of Korea≑China>Japan>the USA≑Germany, and forward linkage effect of the ICT industry are high in the order of Japan ≑> the USA≑Korea ≑> China ≑> Germany. Backward linkage effects of the machinery·equipment industry are high in the order of China>Japan≑Korea>the USA>Germany, and forward linkage effects of the machinery·equipment industry are high in the order of China>Korea>Germany≑Japan≑the USA.

China and Korea encourage active government investment in ICT and machinery·equipment industries, especially the intentional convergence between ICT and machinery·equipment industries is expected be generate higher synergy. The “innovation in manufacturing” strategy in the USA that utilizes its strength in ICT services seems appropriate, whereas Germany needs to revitalize the ICT industry to strengthen its manufacturing industry. Japan’s strategy is to focus its ICT capabilities on robot sector. While the scope of innovation is limited, its synergy is worth expecting.

This study attempted to provide a theoretical approach to the determination of national policy strategies and provide practical implications for response to the impacts of the 4th Industrial Revolution, by comparing the inducement effects of ICT and machinery·equipment industries between major countries.

Hotels conducting international business are acknowledging the importance of an expatriate general manager (GM), to increase the effectiveness of their knowledge management system through the sharing of knowledge between expatriates and local employees. In the aspect of comparative leadership studies, this study attempts to compare and analyze the effects of knowledge sharing (KS) efforts, which are competencies of expatriate GMs and local GMs, on employee trust, organizational KS and employee loyalty.

Data were collected from employees of 7 hotels managed by expatriate GMs among 16 franchising luxury (5-star) hotels, and from employees of 6 hotels operated by local GMs among 9 local luxury hotels located in Korea. Structural equation modeling method using SmartPLS 3.3.3 was used to analyze the data.

Expatriate GM’s two-way KS influences affective trust but does not influence cognitive trust. Affective trust influences cognitive and organizational KS but does not influence employee loyalty. Cognitive trust does not influence organizational KS but influences employee loyalty. Finally, organizational KS significantly affects employee loyalty. In addition, in the analysis comparing the estimates between expatriate and local GM group, significant differences in groups were found for the impact of GM’s two-way KS on cognitive trust, for the impact of affective trust on organizational KS, for the impact of affective trust on employee loyalty and for the impact of cognitive trust on organizational KS.

This study shows that knowledge management designs need to consider different effects of expatriate GMs’ and local GMs’ capabilities on employee attitudes and behavior considering cultural impacts. Expatriate GMs will greatly benefit their effort for KS by assuring employees that they are attentive to their needs, interests and problems.

This study not only contributes to the existing social capital theory but also provides managerial implications for human resources management in the hospitality field through a comparative study of KS efforts of expatriate and local GMs.

Seeking to build a deeper understanding of a higher level of hospitality in terms of employee task performance, this study aimed to explore different person–environment (P–E) fit types and the corresponding effects on hotel employees’ emotions and task performance, evaluated by both the employees themselves and their supervisors.

Frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis and structural equation modeling method.

The results indicated that person–organization fit was associated with emotions toward the organization, the team and the job. However, this study did not provide empirical support for hypotheses that person-team fit affected emotions. Person–job fit was also associated with positive emotions toward the organization and the job, unlike with the team. Organization emotion had positive effects on both task performances, whereas no effect was reported between team emotion and task performances.

The study suggests that hotels’ human resource administrators may want to focus on developing and strengthening P–E fit and emotional responses.

This research illustrates the impact of three types of P–E fit on self-rated and supervisor-rated performance and examines the significant mediating role of three types of emotion.