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As global supply chains continue to develop, uncertainty grows and supply chains are frequently threatened with disruption. Although big data technology is being used to improve supply chain resilience, big data technology's role in human–machine collaboration is shifting between “supporters” and “substitutes.” However, big data technology's applicability in supply chain management is unclear. Choosing appropriate big data technology based on the enterprise's internal and external environments is important.

This study built a three-factor structural model of the factors “management support,” “big data technology adoption” and “supply chain resilience”. Big data technology adoption was divided into big data-assisted decision-making technology (ADT) and big data intelligent decision-making technology (IDT). A survey was conducted on more than 260 employees from supply chain departments in Chinese companies. The data were analyzed through structural equation modeling using Analyze of Moment Structures (AMOS) software.

The study's empirical results revealed that adopting both ADT and IDT improved supply chain resilience. The effects of both types of big data were significant in low-dynamic environments, but the effect of IDT on supply chain resilience was insignificant under high-dynamic environments. The authors also found that government support had an insignificantly effect on IDT adoption but significantly boosted ADT adoption, whereas management support factors promoted both ADT and IDT adoption.

By introducing two types of big data technology from the perspectives of the roles in human–machine collaborative decision-making, the research results provide a theoretical basis and management implications for enterprises to reduce the supply chain risk of enterprises.

In the process of Renminbi (RMB) internationalization, the heterogeneity and complexity in knowledge under the multicultural contexts have been considered as important factors that can have profound impacts on the cross-border flow of the RMB currency. Moreover, COVID-19, an exogenous shock, also triggers more in-depth reflection on the relationship between cross-border knowledge management and the financial risk governance. In addition, the needs to effectively respond to global risks and crises prompt the necessity in systematically establishing an effective cross-border knowledge management mechanism and innovatively solidifying the knowledge bases needed for the further internationalization of the RMB.

Based on the analysis on the current status of the RMB internationalization, this paper qualitatively explores some major challenges and difficulties encountered in the process of RMB internationalization from the perspectives of knowledge management and cross-cultural theories. To effectively mitigate these challenges and difficulties, discussions and recommendations centered on three main aspects: cross-cultural management; cognition; and innovation for the further development of the RMB internationalization are also presented in this paper.

Based on the analysis on the cross-border knowledge management and cross-cultural perspectives, this paper identifies three major challenges and difficulties that the RMB internationalization is encountering, including: cultural heterogeneity and its adverse impacts on the communication amongst economic entities; the existence of knowledge iceberg; and the difficulty it presents to cognition and financial innovation. Meanwhile, the authors also present recommendations on the development of the cross-border knowledge management mechanism for furthering the progress of internationalizing the RMB currency.

From the perspective of cross-border knowledge management, this study not only elaborates on the recommendations aimed at further promoting the RMB internationalization but also provides reference and guidance for the state, central banks and commercial banks to play better roles in furthering the RMB internationalization.

This paper creatively integrates the micro knowledge management into the macro process of RMB internationalization, thoroughly discusses two main challenges and difficulties encountered in the process of RMB internationalization from the unique perspective of cross-border knowledge management under the multicultural contexts and provides relevant recommendations for RMB’s further internationalization. This study also enriches the exploration of knowledge management outcome variables and further expands the research field of knowledge management.

This paper aims to propose a new knowledge creation model called Grey SECI (G-SECI), study the knowledge creation mechanism and the relationship between knowledge creation models and innovation performance during complex product systems (CoPSs) development. Research and development of CoPSs relies heavily on knowledge creation. However, most scholars have studied CoPS innovation stages from the view of design process of system products, focussing on functional management and project management during the R&D process for CoPS. Attention is lacking with regards to the key and essence of creating a complex technology: the creation of knowledge.

Modified from the classic SECI model’s spiral process of knowledge creation, a grey-SECI (G-SECI) knowledge creation model is here proposed vis-à-vis three knowledge categories: explicit knowledge, grey knowledge and tacit knowledge. Then, this paper further analyzes the effects of knowledge creation from the perspective of individual and the view of organization. Besides, an empirical study is conducted.

Statistical analysis indicates that there are three main paths of knowledge creation: individual experience knowledge acquisition, individual communication and reflection and organizational knowledge learning. Results further suggest that knowledge internalization by practice (KIP) is the key mode of knowledge creation, as well as the most important step for high-quality CoPS performance. Moreover, individual innovation performance is influenced by knowledge internalization by reflection and KIP; and organization innovation performance is influenced by knowledge combination and knowledge systematization.

The coverage of geographical distribution is limited. Therefore, there are no data from foreign enterprises. The impact of different geographical cultures on CoPS knowledge creation model could be further investigated; in addition, the statistical analysis results of this study need to be further verified in other industries.

This paper provides a series of insights for CoPS project leaders. The results may also provide practical guidance for the related management personnel in the fields of human resource training, project planning, project quality and technology R&D in CoPS R&D management.

The paper’s main contribution is to modify classic SECI knowledge conversion model by introducing grey knowledge and build a new G-SECI knowledge creation model. Besides, the paper adds empirical evidence on the knowledge creation paths in CoPS and reveals that internalization by practice is the key mode of knowledge creation.

In an era where complex technological advances increasingly govern service delivery, it is incumbent on service firms to pioneer innovative strategies to sustain customer engagement and cultivate loyalty. This conceptual paper examines the transformative potential of artificial intelligence (AI) in the realm of online customer communities, with a particular focus on its creation, management and enhancement facets. The authors explore how AI can revolutionize the dynamics of customer interaction, feedback mechanisms and overall engagement within the service industry.

This conceptual paper draws from marketing and management literature focusing on customer communities and AI in service and customer engagement contexts with a robust future research agenda.

A classification of online customer community engagement is provided along with a conceptual framework to guide our understanding of the integration of AI into online customer communities.

This exploration underscores the imperative for service firms to embrace AI-driven approaches to online customer community management, not only as a means to optimize their operations but as a vital strategy to stay competitive in the ever-evolving digital landscape. This paper examines the novel combination of AI with online customer communities and provides the framework in the form of an input-process-output (IPO) model for future research into this integration.

The purpose of this study is to examine how gender role orientation (i.e. masculinity and femininity) and career/family role salience affect individuals’ organizational identification (OID) and intention to leave. Alternative models were developed to specify different relationships among the study variables.

Data were collected via a questionnaire survey of 362 employees from three large companies in China. Structural equation modeling was used to evaluate alternative models and test the hypotheses.

This paper found that masculinity was positively related to career role salience, whereas femininity was positively related to family role salience. Career role salience, but not family role salience, was positively related to OID, which in turn was negatively related to intention to leave. A positive relationship was also found between femininity and OID, as well as between family role salience and intention to leave.

The cross-sectional nature of the data of this study precludes any definitive inferences about causality and directionality. The use of self-report measures also invites the potential threat of common method variance. The generalizability of results has been restricted, given that the respondents were drawn from three large companies.

Organizations may provide more resources and support for their employees so as to increase their career role salience, which in turn enhances their level of OID. For employees who are high in femininity, employers may offer family-friendly programs to help them address resource drain from family to work, and hence to retain them.

This study provided evidence for the linkage between gender role orientation with career/family role salience. It also revealed the impacts of career/family role salience on OID and intention to leave. Some gender differences in this regard were highlighted.

The purpose of this paper is to develop and test a model that investigates volition and self-efficacy as antecedents, and work engagement and job satisfaction as outcomes of perceived employability. It also evaluates the moderating role of job insecurity on the relationships between perceived employability and the two employee outcomes.

The data were collected via a random sampling survey on living conditions of Hong Kong citizens in 2014. The final sample consists of 414 Chinese working adults. The authors employ structural equation modeling and moderated regression analysis to test the hypotheses.

Results show that volition and self-efficacy are positively related to perceived employability, and perceived employability in turn positively relates to work engagement and job satisfaction. Besides, perceived employability fully mediates the effect of volition and partially mediates the effect of self-efficacy, on the two outcome variables. The authors also find that job insecurity acts as a significant moderator on the relationships between perceived employability and the outcomes.

Limitations of this study include self-reported data, cross-sectional research design, and selected respondents with a large proportion of recent immigrants. By delineating the process through which perceived employability affects employees’ work engagement and job satisfaction, this study provides some implications for research and practice.

This study introduces a conceptual model that includes both antecedents and consequences of perceived employability. It examines the relationships among volition, perceived employability, and work engagement, which has not been studied before. By identifying job insecurity as an important moderator, it reveals a boundary condition of perceived employability on employee outcomes.

The owners of mega projects typically assemble multiple academic research units and enterprises to form an innovation alliance, which carries out knowledge transfer and knowledge creation targeting technical challenges in the process of engineering construction. Due to high technical and management complexity of mega projects, factors affecting knowledge transfer among innovation subjects are complex and diverse. This study proposes a mixed system dynamics (SD) method to build and simulate the process of knowledge transfer in mega projects innovation and analyzes the driving mechanism that enhances knowledge stock of enterprises and engineering innovation results.

First, this paper proposes a conceptual model for knowledge transfer in mega projects by adopting event analysis of the data gained from investigations and interviews. Then, a qualitative model of knowledge transfer that considers mutual influences of the owner, academic research unit and enterprises is developed. Based on that, mathematical relationship among variables of the qualitative model is determined and a quantitative model of knowledge transfer that considers heterogeneity of knowledge sender is built. Finally, simulation is achieved using Vensim software.

The factors affecting knowledge stock of enterprises are analyzed from three aspects: (1) the individual motives and capability of academic research units and enterprises; (2) the gap between academic research units and enterprises; (3) the heterogeneity of academic research units. The results show that the willingness and capability of knowledge reception by enterprises, specific knowledge transfer context such as relational distance and organization distance between academic research units and enterprises and academic research units with high knowledge stock have key influences on the knowledge stock of enterprises.

Factors affecting knowledge transfer within the alliance of innovation in mega projects and their correlations are highly complicated and difficult to determine. Despite massive investigations and interviews on many long-span bridges in China in this study, it is barely possible to directly obtain accurate data for all variables in the model. Limitations of historical data result in limitations on applications of the proposed model.

By building the mega projects knowledge transfer model and conducting simulation analysis, this paper has generated practical values for the owners of mega projects on fostering, organizing, coordinating and managing of innovations. Especially, this study provides specific strategies and suggestions on selection of innovation subjects, motivation and guaranteed efficiency of knowledge transfer and knowledge creation of academic research units and enterprises.

This study proposes a conceptual model for factors affecting knowledge transfer that applies to innovations in mega project context, which fills the gap in the research of knowledge management in mega project innovations. Additionally, combining with the method of SD, the unique role of owner in knowledge transfer of mega projects and the differences among various knowledge senders and their influences on knowledge stocks of enterprises are thoroughly considered, and the research method of modeling and simulation of knowledge transfer mechanism is supplemented and extended.

This study aims to examine the demographic factors of investors, contributing to financial victimization that occurs in Canada from June of 2008 to December of 2019.

In all 235 cases disclosing the details of financial crime victims are collected from the Industry Regulatory Organization of Canada (IIROC) enforcement platform between June of 2009 and December of 2019 for the analysis. The study used a descriptive analysis to showcase the demographic characteristics of investors who have been victims of financial crimes in Canada.

The findings indicate that these investors of age 60 and above were more likely to fall prey to various types of financial crime. The results also disclosed that retirees and investors with limited investment knowledge increase the probability of being vulnerable to the perpetrators than others.

Overall, the study helps regulators in the securities industry gain insights into demographic portraits of the more vulnerable investors. Hence, more precautionary measures could pitch into these concerns to protect specific subsets of investors from investment fraud.

Individuals who are more vulnerable to investment fraud might not be entirely comparable with the stereotypical victims that most studies portray. The research gap could cause individual investors who appear to be at lower risk to unconsciously fall prey to investment fraud. The IIROC study, detailing the demographic factors of victims, can fill the gap and improve understanding of the tendency of victims.

Recent studies have indicated that digital transformation can benefit an organization’s strategic renewal. However, there is little knowledge on how business executives engage in digital transformation for this purpose, especially in the service sectors of emerging markets. Therefore, this study aims to examine how business managers accomplish strategic renewal through digital transformation in emerging markets.

The authors conducted a longitudinal single case study of a leading business firm in China’s real estate industry, China Overseas Land & Investment Ltd. (COLI). Results of the analysis of semistructured interviews and rich secondary data allowed us to better understand how business managers react to changing customer demands by building and implementing divergent digital tools to fulfill strategic renewal.

The results showed that business executives of COLI developed the Whole Life Cycle Management System, to achieve strategic renewal. The system benefits resource allocation and potential adjustments to strategic goals. This study also helps update the organizational structure of the marketing and consumer services departments, helping better satisfy consumers’ demands and waste fewer resources. Thus, COLI accomplished structural, contextual and leadership-based ambidexterity.

This study provides a fresh understanding of the link between digitalization and strategic renewal by providing a fine-grained analysis of leading service providers in emerging markets. To the best of the authors’ knowledge, this study is among the first to investigate the role of digital transformation in strategic renewal from an ambidexterity perspective.

This paper investigates the paths through which innovation community affects content providers' new service development (NSD) performance in technology-based service ecosystem and contingency factors exist in the paths.

The research model is built based on service-dominant (S-D) logic, exploring the relationship among innovation community, content providers' knowledge acquisition and content providers' NSD performance as well as the moderating role of content providers' technology readiness and content providers' complexity. Using survey data collected from 386 content providers of selected open network platforms in China, this study finds broad support for the proposed research model.

The findings of this paper reveal that content providers' tacit knowledge acquisition from users plays a mediating role between the innovation community and new service ratings. Content providers' technology readiness plays a positive moderating role in the relationship between innovation community and their explicit or tacit knowledge acquisition. Content providers' task complexity negatively moderates the effects of their explicit knowledge acquisition from users on new service volumes or ratings, but positively moderates the effects of tacit knowledge acquisition from users on new service volumes or ratings.

Though extant literature highlights the importance of knowledge acquisition in NSD performance, few studies explore the antecedents of content providers' knowledge acquisition from users and the paths through which these antecedents affect content providers' NSD performance. Moreover, boundary conditions exist in the process of improving NSD performance are generally ignored in previous literature. With the lens of S-D logic, this paper explicates how content providers of different technology readiness and different task complexity enhance their new service volumes and ratings through acquiring explicit and tacit knowledge from users in innovation community. Adopting S-D logic from marketing area to NSD area, this paper not only enriches the theoretical accumulations of antecedents and boundary conditions of content providers' NSD performance but also offers insights for content providers and users on how to synergistically advance NSD activities and co-create value in the technology-based service ecosystem.