Search results

The purpose of this study is to examine big data capability's impact on product improvement and explore supply chain dynamics including relationship building and knowledge sharing as important contribution to big data capability.

The research model is tested with survey data. Data analysis results empirically support the proposed model and the hypothesized relationships between the concepts.

First, the hypothesis testing results of this study show that big data capability directly enhances product improvement. Second, this study shows that supply chain relationship building and knowledge sharing are positively related to the development of big data capability.

In supply chain management, there are multiple factors, besides relationship building, that serve as conditioners to knowledge sharing's effect on product performance. We only examined the role of relationship building in this area.

Findings from this research encourage firms to take advantage of their supply chain resources to develop a big data capability that positively contributes to firm performance.

The contribution lies in that it brings to light this step that connects big data capabilities and market and financial performance, which is missing in prior research. This study contributes to the literature by identifying supply chain management activities, more specifically, supply chain relationship building and knowledge sharing, as antecedents to big data capability. This helps to extend this emergent enterprise of big data research to a new area and points to new directions for future research.

The purpose of this paper is to provide a conceptual understanding of Big Data practices in organizations, which will enable exploring the operational and strategic roles of Big Data in organizational performance.

Both academic and non-academic literature studies on Big Data were reviewed so as to capture what was known about Big Data practices. Qualitative interviews were conducted with firm executives about Big Data practices in their organizations. Both literature review and interview results were analyzed based on the dynamic capabilities perspective.

The analysis of the results suggests that Big Data capability develops when the resources parts of Big Data and the skill and competency parts are integrated and then grow into a dynamic capability.

This study contributes to the literature with the concept of Big Data capability that best characterizes Big Data practices in organizations. Validity of this concept should be tested in empirical studies.

The development of the concept of Big Data capability helps to fill a gap in the research literature that theoretical understanding of big data practices is lacking or needs to be updated. It motivates practitioners to develop this capability so as to create and maintain their strategic advantage.

The purpose of this paper is to propose a research agenda for studying Chinese culture and conflict.

Publications on Chinese culture and conflict are searched and reviewed to identify conceptualizations of Chinese culture and key findings on conflict.

A review of the scholarly literature on Chinese culture and conflict suggests that Chinese culture has been mainly conceptualized as Confucianism and collectivism. Inadequacies of such conceptualizations and their negative effects on empirical research on Chinese culture and management and organization in China have been addressed.

Limitations were not being able to get an exhaustive list of research publications on Chinese culture and conflict.

The paper helps to reduce stereotypes about Chinese conflict management stemmed from previous research

On the basis of recognizing the importance of past research, new directions for researching Chinese culture and conflict that constitute a new research agenda have been proposed.

Although published research is limited to big data, some research focuses on the challenges that companies face in implementing big data projects. Specifically, in the field of information systems, researchers realize that the success of Big Data projects is not only the result of data and analytics tools and processes, but also includes broader aspects. To address this issue, people have come up with a perception of big data analytics capabilities, often defined as the ability of businesses to take advantage of data management, infrastructure, and talent to turn business into competencies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

The relationship between analytics and organizational performance has been the subject of the extant research. Prior studies have highlighted the direct influence of analytics on organizational performance. For example, big data analytics capabilities are significantly correlated with market performance and operational performance. The mechanisms through which analytics affect organizations were also examined from various perspectives.

The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.