Search results

This study aims to empirically investigate how knowledge paradox affects collaboration performance. Knowledge paradox, which arises from the simultaneous need for knowledge sharing and protection, is common in interorganizational collaboration. Using the ambidexterity perspective, this paper aims to reexamine the effect of the knowledge paradox on collaborative performance to explore the moderating roles of structural and contextual ambidexterity.

This study used a sample of 153 firms involved in vertical and horizontal collaboration, collected via questionnaires. Hypotheses were tested using hierarchical regression analysis.

This study demonstrates that the stronger the knowledge paradox is, the higher the potential for value creation. Thus, knowledge paradox has a positive impact on collaborative performance. The functions of structural ambidexterity and contextual ambidexterity strengthen this positive relationship.

This paper not only expands the theoretical application of the knowledge paradox and ambidexterity theory in the context of interorganizational relationships but also provides significant managerial implications. By comprehending the dynamics of the knowledge paradox and the role of ambidexterity, managers can make well-informed decisions to enhance their collaborative performance.

The purpose of this study is to explore the determinants of teachers’ continuance intention concerning cloud services.

This study uses a cloud service, namely, Google Sites, to support teacher collaboration and further develop a research model to explore the determinants of their continued usage intention.

The findings reveal that continued intention to use the cloud services is primarily determined by their attitude towards using it; attitude towards using is affected by perceived ease of use and perceived usefulness; and perceived ease of use is influenced by facilitating conditions, while perceived usefulness is influenced by social influence.

This study determines that teachers intend to continue using cloud services once training in using such services has been provided and if they hear favourable opinions from others.

The paper enables us to better understand factors affecting teachers' continuance intention toward cloud services.

The purpose of the paper is to note that customers are not necessarily human and to figure out how best to serve artificial intelligence (AI) customers. The authors also propose several major research streams, as examples, to help launch research on AI customers and how to serve them.

The current paper is a conceptual one that draws upon research from many areas to support the ideas proposed.

AI customer are proliferating. AI as customers can augment or replace human customers and can be the customer itself. Service providers may also be AI, which means that both humans serving AI customers and AI serving AI customers are relevant here. The authors show that even truly autonomous AI customers are likely to be more common in the future. The authors conclude that reverse engineering will probably not be successful in understanding AI customers and that an approach similar to how we research human consumer behavior is likely to be more useful.

Virtually, the entire literature on customers and how to serve them assumes that customers are human. With the rapid advancement of AI, purchase decisions are increasingly made by AI, suggesting that it is now important and necessary to consider the possibility of AI customers and how best to serve them. This paper opens the door for such research.

This paper aims to build and empirically test a multilevel framework integrating transaction cost economics and a resource-based view into a value co-creation ecosystem perspective to explain the chain- and firm-level effects of transaction-specific investments (TSIs) on supplier performance.

This paper investigates cross-level network effects using survey data from the List of Taiwanese Central Satellite Production Systems. A total of 34 buyers (hub firms) and 106 suppliers (satellite firms) from 34 supply chains responded to the survey.

Findings confirm that individual firms’ TSIs can foster co-specificity at the supply chain level, thereby improving supply chain integration (SCI). SCI can have a positive cross-level moderating effect on the TSI–performance relationship.

These two key concepts, value co-creation and co-specificity, extend the theoretical application of transaction cost theory and the resource-based view to cross-level study by contributing to the research on the TSI–performance relationship.

This study’s framework is a counter to the buyer–supplier–supplier relationships in which each actor who may have different goals can create value jointly and share benefits from their TSIs.

Owing to high co-specificity, being embedded in a well-integrated supply chain can be a threat when the environment is turbulent; for losing strategic flexibility, co-specificity and embeddedness may result in a collective adaptation concern. High degrees of SCI may slow the reaction to environmental turbulence for both buyers and suppliers.

Individual firms’ TSIs can foster co-specificity at the supply chain level, subsequently enhancing SCI. An integrated supply chain can be a collective asset that facilitates value co-creation. Individual firms can benefit from the sharing of collective value. SCI can also increase switching costs, thus reducing the likelihood of individual firm engaging in opportunistic behavior and cost safeguarding.

Rapid response is often the cornerstone of success in many industries, especially manufacturing. In the authors’ opinion, organizational structure will also affect the construction of a fast-response supply chain system. The main purpose of this research examines whether different levels of organizational structure have different effects on the relationship between external integration and firm performance.

This study applied questionnaires to collect data. This study collected 818 questionnaires from manufacturers in China, Hong Kong and Taiwan to verify our proposed model using structural equation modeling.

Results show that response speed perfectly mediates the relationship between external integration and firm performance. Different levels of organizational structure will also affect external integration. Strict organizational structure requires customer integration, while loose organizational structure requires supplier integration to quickly meet customer needs.

Companies can probably determine whether their organizational structure is higher or lower than that of their competitors. If firms can determine that their organization structure is high or low, they can adopt suitable external integrations to enhance quick response and operational performance.

In the relationship between supply chain integration and performance, we consider a mediating variable and moderating variable together. Results explain the reason that the relationship between supply chain integration and performance are inconsistent in previous studies. We have addressed external integration in alignment with organizational structure to provide better service and enhance performance by providing empirical evidence.

This study aims to investigate whether higher value creation leads to higher value appropriation and to identify the boundary conditions in a buyer–supplier relationship that can explain why a particular supplier can appropriate higher value than others.

The study uses questionnaire surveys. The sample of the survey has 150 publicly-listed supplier firms in Taiwan. The unit of analysis is the buyer–supplier relationship.

In the buyer–supplier relationship, suppliers’ bargaining power, partnership and a supplier’s original brand manufacturing (OBM) business can strengthen the positive relationship between value creation and value appropriation.

This study adopts the unilateral viewpoint of suppliers; however, some constructs might require dyadic evaluation. This study only explores the spillover effect of OBM business on the relationship between value creation and appropriation.

The spillover effect of a supplier’s OBM business in a buyer–supplier relationship allows the buyer to share more common benefits and the supplier to capture more private benefits as compensation. By broadening its customer base, a supplier can increase its bargaining power. A supplier can also maintain a strategic partnership with each essential buyer.

To avoid the dark-side effect of partnership, the model provides the contingency that a supplier can capture more value from a buyer–supplier relationship.

The purpose of this paper is to investigate what factors can affect individuals’ knowledge sharing on social media from the perspectives of personality traits and social capital.

A theoretical model was developed with reference to the personality traits theory and the social capital theory. Accordingly, a questionnaire was designed to collect the individuals’ ideas on knowledge sharing on social media and further test the model. The questionnaire was then distributed to two LINE groups. Finally, the collected data were analyzed using the partial least squares (PLS) approach.

Personality traits not only directly affect knowledge sharing, but also indirectly influence it via social capital. Of all personality traits, agreeableness, openness and extraversion directly and indirectly influence knowledge sharing.

Knowledge sharing is undertaken by individuals and social groups. It starts with individuals and then diffuses to other members of a group.

Group managers have to identify the members who are friendly, open-minded or extroverted and encourage them to act as the bellwethers for knowledge sharing under an effective regulatory regime, through which intra-group knowledge sharing can be promoted.

This study introduces a new model to explore knowledge sharing on social media from individual and social perspectives. It illustrates what will affect individuals’ knowledge sharing on social media.

Forecasting population movement trends is crucial for implementing effective policies to regulate labor force growth and understand demographic changes. Combining migration theory expertise and neural network technology can bring a fresh perspective to international migration forecasting research.

This study proposes a conditional generative adversarial neural network model incorporating the migration knowledge – conditional generative adversarial network (MK-CGAN). By using the migration knowledge to design the parameters, MK-CGAN can effectively address the limited data problem, thereby enhancing the accuracy of migration forecasts.

The model was tested by forecasting migration flows between different countries and had good generalizability and validity. The results are robust as the proposed solutions can achieve lesser mean absolute error, mean squared error, root mean square error, mean absolute percentage error and R² values, reaching 0.9855 compared to long short-term memory (LSTM), gated recurrent unit, generative adversarial network (GAN) and the traditional gravity model.

This study is significant because it demonstrates a highly effective technique for predicting international migration using conditional GANs. By incorporating migration knowledge into our models, we can achieve prediction accuracy, gaining valuable insights into the differences between various model characteristics. We used SHapley Additive exPlanations to enhance our understanding of these differences and provide clear and concise explanations for our model predictions. The results demonstrated the theoretical significance and practical value of the MK-CGAN model in predicting international migration.

The purpose of this paper is to understand the formation of knowledge management (KM) decisions, including intention for knowledge contribution and knowledge exploration. The authors build on the goal-directed model and a trust-based lens to develop a belief-trust-decision framework. The authors theorize belief as individual factors (one’s virtual skill) and environmental factors (cooperative norms, familiarity), and trust as emotional trust and cognitive trust. Individual factors represent one’s virtual skill to control knowledge exchange, while environmental factors reflect the level of support/control for this exchange by the context.

This study uses a survey method to collect data and partial least squares to analyze them.

The authors found that KM decision is affected by two types of trust, directly or indirectly. They are, in turn, influenced by individual factors and environmental factors.

Generalizability of the findings to virtual communities with different collaboration protocol deserves further investigation. This study contributes to the research on KM and social behavior by providing a comprehensive explanation on KM decision through one’s goal achievement in knowledge exchange behavior, in terms of trust development. Besides, the authors theorize one’s belief on knowledge exchange as skill-control and context-control to represent the drivers for trust.

The results provide suggestion for managers regarding how skill-control and context-control should be managed to improve trust development, which serves as goal achievement for KM decisions.

The authors extend prior work by yielding a new insight into how and why one’s beliefs on skill-control and context-control for knowledge exchange are transferred into KM decision through one’s goal achievement, characterized as trust development at both emotional and cognitive levels.

This study aims to examine the components and evolution of the Chinese wine festival market using the Dalian International Wine and Dine Festival (DIWDF) as a case study.

Adopting a longitudinal approach, survey data were collected from attendees of the first, fifth and seventh DIWDF in 2012, 2016 and 2018, respectively. Cluster analysis segmented attendees by wine and festival experience and consumption features. Comparative analysis was conducted to examine segment differences by demography, festival motivation, satisfaction and intention. Changes in segments over time were examined across the three times.

The following three clusters were identified: “wine-novice fest-newbies,” “occasional drinker fest-goers” and “wine-lover fest-enthusiasts.” Over the study period, the proportion of “wine-lover fest-enthusiasts” increased significantly while the percentages of the other two segments decreased, demonstrating the evolution of the Chinese wine festival market and their consumer impacts.

This study offers straightforward indicators of market value via consumption features for both wine businesses and festival organizers. The characteristics of the segments and their inter-linkage have important implications for developing product mix, targeting strategies, festival service design and market development.

This is the first known empirical research globally to investigate relationships among market segments both horizontally (differences between segments) and vertically (development over time) and to incorporate both wine- and festival-related consumption features.