Research on the Relationship between Data Empowerment and Service Innovation Capability of Logistics Platform Enterprise

Abstract

Based on the application of big data, this paper constructed a theoretical model focusing on the mechanism of data empowerment on the service innovation capability of logistics platform enterprises, with value cocreation as the mediating variable and environmental dynamism as the moderating variable. The research hypothesis was empirically tested based on the results obtained from the questionnaire survey. The results demonstrate that data empowerment can promote the value co-creation between logistics platform enterprises and users, and value co-creation is an important factor to promote the service innovation capability of logistics platform enterprises. Meanwhile, the moderating variable of environmental dynamism is found to inhibit the interaction between cooperation and service innovation capability. The findings expand the theoretical research on data empowerment and raise important inspiration for practical activities of logistics platform enterprises.

Unveiling the effects of big data analytics capability on innovation capability through absorptive capacity: why more and better insights matter

“…Previous studies have addressed this discussion either tangentially or from a theoretical-conceptual perspective, and have suggested that the relationship between some BDAC components and innovation can be complemented by value co-creation with suppliers and traditional forms of data analysis (Xu et al. , 2016; Zhang and Hu, 2021), so empirical studies are required that measure the incidence of this third variable in the relationship between BDAC and innovation and yield more conclusive results. In this study, we consider that there is sufficient empirical evidence in the literature that highlights the leading role of absorptive capacity (AC) when seeking to generate value from information and knowledge coming from internal or external sources (Flor et al.…”

“…Nevertheless, despite previous studies identifying BDAC as an unquestionable driver of IC, it is still necessary to understand how the use of the insights generated by BDAC in innovation may be maximized through articulation with individuals' intellect and other organizational processes involving the use and transformation of knowledge. Previous studies have addressed this discussion either tangentially or from a theoretical-conceptual perspective, and have suggested that the relationship between some BDAC components and innovation can be complemented by value co-creation with suppliers and traditional forms of data analysis (Xu et al, 2016;Zhang and Hu, 2021), so empirical studies are required that measure the incidence of this third variable in the relationship between BDAC and innovation and yield more conclusive results. In this study, we consider that there is sufficient empirical evidence in the literature that highlights the leading role of absorptive capacity (AC) when seeking to generate value from information and knowledge coming from internal or external sources (Flor et al, 2018;Gkypali et al, 2018;Naqshbandi and Tabche, 2018).…”

Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization

“…The employment situation is quite severe in current society, and college graduates are under great employment pressure [1][2][3][4], so in order to help them find suitable jobs and provide them with more employment options, colleges and universities have set various innovation and entrepreneurship training programs and education courses, in the hops of cultivating innovative and entrepreneurial talents for the country [5][6][7][8].…”