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The purpose of this study is to examine whether service innovation capability can affect firm performance in the architecture, engineering and construction (AEC) context, and, if so, how.

This study developed a theoretical framework illustrating the performance impacts of service innovation capability through the business model in the AEC sector. An empirical study was conducted to test the hypotheses using 374 valid questionnaires using structure equation model (SEM).

The results verify that service innovation capability positively influences firm performance mediated by the business model. As to the direct effect, service innovation capability is positively associated with firm performance.

This study highlights how service innovation capability affects performance and reveals the underlying mechanism.

The aim of this paper is to investigate (1) whether the different dimensions of internationalization experience have different effects on internationalization speed? (2) And how the degree of digitalization plays a moderating role in these relationships?

The authors test the hypotheses on a sample of 431 Chinese listed companies export data from 2007 to 2016, using multiple regression analysis.

The international expansion experience to developed economies will accelerate the internationalization speed of MNCs, while international expansion experience to emerging economies has an inverted U-shaped relationship with internationalization speed. The digitalization degree weakens the relationship between international experience and internationalization speed, whether it is international expansion experience to developed or emerging economies.

By decomposing the dimensions of international experience and considering the degree of digitalization as a new moderating variable, the paper helps to clarify the debate on the relationship between international experience and speed of internationalization, thus contributing to the internationalization speed literature and the digital technology perspective. Revealing the process of international experience affecting internationalization speed has implications for MNCs to achieve high-quality and rapid internationalization.

Considering the substantial benefits derived from the use of Building Information Modeling (BIM) in construction projects, governments and its related sectors have introduced mandatory policies requiring the use of BIM. However, little is known about the impact of mandatory policies on BIM-based project performance. Therefore, the purpose of this paper is to provide a systematical understanding on the impact of policy interventions on the implementation practice of innovative technologies.

This paper utilizes the propensity score matching and difference in differences (PSM-DID) method to investigate the impact of policy interventions on BIM-based project performance. Using the panel data collected from 2015 to 2021 in the Hong Kong construction industry, this paper explores the impact of the first mandatory BIM policy on the BIM-based project performance of three key stakeholders.

The subjective BIM performance and BIM return on investment (ROI) have significantly improved after implementing the mandatory BIM policy. The promotion effect of mandatory BIM policy on BIM-based project performance gradually increases over time. Moreover, the promotion effect of mandatory BIM policy on BIM performance shows significant heterogeneity for different stakeholders and organizations of different sizes.

This study examined the impact of policy interventions on BIM-based project performance. The research findings can provide a holistic understanding of the potential implications of innovative mandatory policy in performance improvement and offer some constructive suggestions to policymakers and industry practitioners to promote the penetration of BIM in the construction industry.

The purpose of this paper is to assess the influence mechanism of the word-of-mouth reputation of influencers.

This study explored word-of-mouth reputation from four characteristics of information source of influencers: credibility, professionalism, interactivity and attractiveness. The grounded theory was used to extract the characteristic indicators of influencers and used questionnaire surveys to obtain 218 valid samples. The fuzzy-set qualitative comparative analysis (fsQCA) was used for the configuration analysis.

The results revealed the following: (1) a causal asymmetric correlation exists between the driving mechanism of high word-of-mouth reputation and non-high word-of-mouth reputation; (2) influencers matching high word-of-mouth reputation comprises potential, developmental and almighty types, whereas live streaming influencer matching non-high word-of-mouth reputation comprises elementary and groping types; and (3) all factors must be combined to play a role, and neutral permutations of two solutions were found among the three overall solutions to attain high word-of-mouth reputation; (4) the combination of high user activity and high exposure is the core configuration that results in high word-of-mouth reputation.

This study provides recommendation for consumers, live streamers, brand and e-commerce platform on how to promote the sustainable and healthy development of influencer marketing.

This study focused on elucidating how the characteristics of information source affect the word-of-mouth reputation of influencers and have a reference value for the research on word-of-mouth reputation in the context of live commerce.

The purpose of this study is to examine the effect of stakeholder orientation in mediating the impact of female directors on environmental innovation. The authors argue that female directors are eco-friendly and more concerned with multi-stakeholder interests and demands. Thus, they promote environmental innovation by including more stakeholder-oriented values and beliefs in firm decision-making.

As the dependent variable in this study is a nonnegative count variable, the authors use a count data model based on Poisson regression. A sample of Chinese listed firms between 2010 and 2020 is used to test the hypotheses.

The results of this study show that female directors can enhance environmental innovation. Further, stakeholder orientation represents an intermediate channel that accounts for the effects of female directors on environmental innovation. This suggests that having women on a board can lead to better stakeholder management, which, in turn, positively affects environmental innovation. The authors also reveal that female directors contribute more to stakeholder orientation with the presence of female chairpersons.

A significant limitation in the literature is that little attention has been paid to the mechanisms linking female directors to firm outcomes. In the context of environmental innovation, while previous studies have investigated the influence of female directors on environmental innovation, the underlying channels of that influence remain largely unexplored. Therefore, the findings of this study advance the understanding of the effects of female directors on environmental innovation by revealing an important underlying channel – stakeholder orientation.

The M&A literature lacks coherence and consistency when explaining the role of CEO power in influencing post-acquisition firm performance in both theoretical and empirical terms. This study uses meta-analytic techniques to quantitatively synthesize and evaluate the impact of 11 CEO power constructs (CEO duality; compensation; ownership; founder CEO; acquisition experience; functional area experience; outside directorship; elite education; CEO celebrity; age; and tenure) on acquiring firms’ post-acquisition performance. Results of 85 independent studies show that CEO ownership, functional area experience, and tenure are significantly positive predictors for better acquisition performance. At the same time, CEO duality and CEO elite education are significantly negative predictors of different measures of acquisition performance. These findings indicate the importance of integrating different theories to enhance our understanding of the nature of strategic leadership in acquisition performance.

This study utilised Mehrabian and Russel's stimulus-organism-response (SOR) model to investigate the inter-relationship between perceived social media information qualities (IQ) of online UGC, destination image, perceived travel risk and behavioural intentions.

A total of 255 responses from international tourists were collected. The data collection via an online survey was performed from October 2020 to February 2021. The study model and hypotheses were examined using partial least squares-structural equation modelling (PLS-SEM).

The result indicated that social media intrinsic, representational, and social IQ significantly influenced tourists perceived cognitive image, while only contextual and social IQ significantly predicted the perceived affective image. This study also confirms the significant effect of cognitive image on the affective image. In addition, the authors found that both destination image components, cognitive and affective, significantly affect tourists' behavioural intentions. However, surprisingly, tourists' perceived travel risk did not moderate the effect of destination image components on behavioural intentions.

This study contributes to the body of knowledge by extending Mehrabian and Russel's SOR model in the tourism behaviour context.

From a practical perspective, this study proves that UGC significantly affects destination image and plays an integral part in luring tourists to visit a destination.

Previous research in this area is limited, making this study particularly novel. This study represents one of the initial attempts to evaluate the dimensions of information quality in UGC on social media and online review platforms, particularly within the field of tourism. Treating online travel UGC seriously could assist organisations in leveraging tourist behaviour and enhancing destination image.

The purpose of this paper is to investigate how absorptive capacity mediates the relationship between ambidextrous organizational learning and performance among small and medium-sized enterprises (SMEs).

Based on the resource-based view (RBV) and the dynamic capability approach, this paper uses the resource-capability-performance framework to construct the theoretical model of this study and tests the theoretical model with the questionnaire survey data of 189 SMEs in mainland China.

Ambidextrous organizational learning has different effects on SMEs' performance in terms of survival performance and growth performance. Both exploitative learning and exploratory learning have positive effects on absorptive capacity, and absorptive capacity has positive influences on both the survival performance and growth performance of SMEs. Absorptive capacity plays different mediating roles in the relationships between ambidextrous organizational learning and SMEs' performance: absorptive capacity plays a partial mediating role in the relationship between exploratory learning and SME growth performance, while absorptive capacity plays complete mediating roles in other relationships.

Managers must stress the use of exploratory learning in order to promote SMEs' growth performance. However, to foster both absorptive capacity and SME performance in terms of survival and growth, managers must pay more attention to take advantage of ambidextrous organizational learning. Government as policymakers should create a favorable environment that enable SMEs to benefit much more from the deployment of ambidextrous organizational learning and absorptive capacity.

To the best of authors’ knowledge, this study is the first to theorize and test the mediating role of absorptive capacity in the linkage between ambidextrous organizational learning and SME performance in terms of survival and growth. Additionally, this study also is the first to provide empirical support for the impact of ambidextrous organizational learning on absorptive capacity among SMEs.

Due to climate change and an increasing concentration of the world’s population in vulnerable areas, how to manage catastrophe risk efficiently and cover disaster losses fairly is still a universal dilemma.

This paper applies a law and economic approach.

China’s mechanism for managing catastrophic disaster risk is in many ways unique. It emphasizes government responsibilities and works well in many respects, especially in disaster emergency relief. Nonetheless, China’s mechanism which has the vestige of a centrally planned economy needs reform.

I propose a catastrophe insurance market-enhancing framework which marries the merits of both the market and government to manage catastrophe risks. There are three pillars of the framework: (i) sustaining a strong and capable government; (ii) government enhancement of the market, neither supplanting nor retarding it; (iii) legalizing the relationship between government and market to prevent government from undermining well-functioning market operations. A catastrophe insurance market-enhancing framework may provide insights for developing catastrophe insurance in China and other transitional nations.

First, this paper analyzes China’s mechanism for managing catastrophic disaster risks and China’s approach which emphasizes government responsibilities will shed light on solving how to manage catastrophe risk efficiently and cover disaster losses fairly. Second, this paper starts a broader discussion about government stimulation of developing catastrophe insurance and this framework can stimulate attention to solve the universal dilemma.

As a South‐East Asian country developing a market economy, Vietnam needs a solid information infrastructure. Library developments will play an important part in this regard. This paper discusses issues relating to library infrastructure development. First, standardisation is recommended in the organisation of information. Then courses are suggested for Vietnamese library schools to adopt in their curricula. Finally the role of a proposed Vietnamese Library Association is discussed.