Search results

The purpose of this paper is to empirically investigate the linkages between strategic interaction and relationship value, with a variety of co-creating value strategies as conceptual mediators.

This study reports on a field survey conducted in the Chinese manufacturing industry. A total of 180 questionnaires were sent to customers of service providers, and 120 valid responses were received, representing a response rate of 66.7 per cent. The data were then analyzed by using a number of statistical tools.

The results suggest that strategic interaction leads to a positive effect on the relationship value without any regard to the size of the customer. However, the mediating effect of product-based service is more significant for large-size customers, whereas the mediating effect of integrated managerial service is more significant for medium- and small-size customers.

This study explores how value might be created in a business-to-business context in a service supply chain from a relationship marketing perspective. It distinguishes product-based service and integrated managerial service as co-creating value strategies and further clarifies the different mechanisms underlying their relationships with strategic interaction between service supplier and customer. In particular, this study suggests that although strategic interaction may yield superior relationship value, the size of the customers will determine what kind of co-creating strategies would be preferred.

This paper aims to construct a spatio-temporal emotional framework (STEF) for digital humanities from a quantitative perspective, applying knowledge extraction and mining technology to promote innovation of humanities research paradigm and method.

The proposed STEF uses methods of information extraction, sentiment analysis and geographic information system to achieve knowledge extraction and mining. STEF integrates time, space and emotional elements to visualize the spatial and temporal evolution of emotions, which thus enriches the analytical paradigm in digital humanities.

The case study shows that STEF can effectively extract knowledge from unstructured texts in the field of Chinese Qing Dynasty novels. First, STEF introduces the knowledge extraction tools – MARKUS and DocuSky – to profile character entities and perform plots extraction. Second, STEF extracts the characters' emotional evolutionary trajectory from the temporal and spatial perspective. Finally, the study draws a spatio-temporal emotional path figure of the leading characters and integrates the corresponding plots to analyze the causes of emotion fluctuations.

The STEF is constructed based on the “spatio-temporal narrative theory” and “emotional narrative theory”. It is the first framework to integrate elements of time, space and emotion to analyze the emotional evolution trajectories of characters in novels. The execuability and operability of the framework is also verified with a case novel to suggest a new path for quantitative analysis of other novels.