How to use emerging service technologies to enhance customer centricity in business-to-business contexts: A conceptual framework and research agenda
Open accessAbstract
Manufacturers in business-to-business (B2B) industries aim to gain a competitive edge by adopting the concept of customer centricity in their strategy. Acknowledging manufacturers’ challenges in implementing new technologies, we showcase how digital product passports, augmented/virtual reality, smart products, and digital twins foster customer centricity. We classify these technologies based on their use context and introduce the CC TECH -framework, which delineates the impact of (1) experiential, (2) performance-enhancing, and (3) automated technologies on customer-centric processes. This research explores the opportunities for utilizing specific emerging technologies to enhance four customer-centric processes: (1) interactive customer relationship management (discovering implicit needs), (2) customer integration (systematic involvement of customers in decision-making), (3) internal integration (aligning business activities around customer value), and (4) external integration (supply chain-level coordination to respond to customization required by customers). Further, we provide a technology roadmap for manufacturers and suggest a research agenda to guide future research.
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Customer-centric chatbots improve sales, diagnostic ability, predictive analytics, and can automate IoT-driven processes for better interactive engagement across organizational partners.
“Finally, customer-centric chatbots improve sales, diagnostic ability, predictive analytics, and can automate IoT-driven processes for better interactive engagement across organizational partners [131].”
From The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges (2025) · cites this paper as [131]
ML-based agentic systems can detect the issue to optimise the operations.
“ML-based agentic systems can detect the issue [131] to optimise the operations [123].”
From The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges (2025) · cites this paper as [131]
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- Authors
- Wünderlich, N. V., Blut, M., Brock, C., Heirati, N., Jensen, M., Paluch, S., Rötzmeier-Keuper, J., & Tóth, Z.
- Affiliations
- Technische Universität Berlin (DE)
- Durham University (GB)
- University of Rostock (DE)
- University of Surrey (GB)
- RWTH Aachen University (DE)
- Corresponding author
- Wünderlich, Nancy V.
- ORCID
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2025-04
- Volume
- 192
- Pages
- 115284
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W4408254110
- Cited by
- 21
- References
- 57
- Citations by year
- 2026: 12 · 2025: 9
- FWCI
- 36.58
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Business Research (publishedVersion, cc-by)
- CentAUR (University of Reading) (submittedVersion)
- Durham Research Online (Durham University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion, other-oa)
- Technische Universität Berlin – Universitätsbibliothek (cc-by)
- Funders
- University of Cambridge
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Keywords
- customer-centricity, business-to-business, digital product passport, augmented reality, virtual reality, smart products, digital twin, customer relationship management, customer integration, internal integration, external integration, supply chain coordination, customization, technology roadmap
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