The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Digitalization Capabilities as Enablers of Value Co‐Creation in Servitizing Firms
Open accessAbstract
As manufacturing companies pursue a servitization strategy, they are increasingly relying on developing digitalization capabilities to interact and co‐create value with their customers. However, many lack an understanding of what constitutes digitalization capabilities and how they can create value with customers. To address these questions, the study builds on qualitative data from four industrial manufacturing firms to conceptualize three underlying subcomponents of digitalization capabilities, namely, intelligence capability, connect capability, and analytic capability. The study identifies and explains how digitalization capabilities enable value co‐creation with customers through perceptive and responsive mechanisms. This study contributes to the servitization literature by showcasing how digitalization capabilities are enabling value co‐creation in a business‐to‐business context.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Building Theories from Case Study Research
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.2307/258557 · Cited by 17,455
Evolving to a New Dominant Logic for Marketing
Vargo, S. L., & Lusch, R. F. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.1.1.24036 · Cited by 14,779
Bell, E., Bryman, A., & Harley, B. (2022) · Oxford University Press eBooks · doi:10.1093/hebz/9780198869443.001.0001 · Cited by 10,965
Yin, R. K. (2009). Case study research: Design and methods (4th Ed.). Thousand Oaks, CA: Sage.
Aberdeen, T. (2013) · The Canadian Journal of Action Research · doi:10.33524/cjar.v14i1.73 · Cited by 3,250
Service portraits in service research: a critical review
Edvardsson, B., Gustafsson, A., & Roos, I. (2005) · International Journal of Service Industry Management · doi:10.1108/09564230510587177 · Cited by 763
Cited by
Kristoffersen, E., Blomsma, F., Mikalef, P., & Li, J. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.07.044 · Cited by 841
Exploring How Usage-Focused Business Models Enable Circular Economy through Digital Technologies
Bressanelli, G., Adrodegari, F., Perona, M., & Saccani, N. (2018) · Sustainability · doi:10.3390/su10030639 · Cited by 666
Sjödin, D., Parida, V., Palmié, M., & Wincent, J. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.05.009 · Cited by 584
Self-citationDigital technologies catalyzing business model innovation for circular economy—Multiple case study
Ranta, V., Aarikka-Stenroos, L., & Väisänen, J.-M. (2021) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2020.105155 · Cited by 495
A survey of smart product-service systems: Key aspects, challenges and future perspectives
Zheng, P., Wang, Z., Chen, C.-H., & Pheng Khoo, L. (2019) · Advanced Engineering Informatics · doi:10.1016/j.aei.2019.100973 · Cited by 377
Metadata
- Authors
- Lenka, S., Parida, V., & Wincent, J.
- Venue
- Psychology & Marketing
- Publisher
- Wiley
- Published
- 2016-12-20
- Volume
- 34
- Issue
- 1
- Pages
- 92-100
- ISSN
- 0742-6046 (ISSN-L)
- 1520-6793
- OpenAlex
- W2564664067
- Cited by
- 593
- References
- 5
- FWCI
- 38.96
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.