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An empirical study of real-time information-receiving using industry 4.0 technologies in downstream operations
- Source :
- Technological Forecasting and Social Change. 165:120551
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Industry 4.0 requires firms to adopt the latest technology to be more effective. However, previous studies have not addressed customer engagement (CE) and its direct benefit (buying) and indirect benefits (referring, influencing, and feedback) using modern technologies such as industry 4.0. The present study analyses customer engagement in regard to real-time information receiving (RTIR) in the downstream operations implemented through software-as-a-service technology. The data is collected from 533 customers of small businesses in retail, food & beverages, and accommodation sectors. The study's empirical model is validated using the theory of information sharing (ToIS). The outcomes specify that RTIR is the antecedent of CE. The results show the mediation effect of customer orientation on RTIR and CE relationship. The study also confirms that gender moderates three out of the four examined relationships between RTIR and CE. Subsequently, our outcomes offer a deeper understanding of RTIR and CE, imbedded in ToIS. This article exposes industry practitioners to RTIR and CE in terms of direct benefit and indirect benefits with modern technologies in downstream operations. This study provides a new theoretical framework using ToIS to advance RTIR in downstream operations through SaaS and CE.
- Subjects :
- Customer engagement
Process management
Industry 4.0
business.industry
020209 energy
Software as a service
Information sharing
05 social sciences
02 engineering and technology
Empirical research
Downstream (manufacturing)
Management of Technology and Innovation
0502 economics and business
Mediation
0202 electrical engineering, electronic engineering, information engineering
Business
Real-time data
Business and International Management
050203 business & management
Applied Psychology
Subjects
Details
- ISSN :
- 00401625
- Volume :
- 165
- Database :
- OpenAIRE
- Journal :
- Technological Forecasting and Social Change
- Accession number :
- edsair.doi...........33ac08a0dedce3af778895b861a93120
- Full Text :
- https://doi.org/10.1016/j.techfore.2020.120551