The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Information technology, knowledge management and environmental dynamism as drivers of innovation ambidexterity: a study in SMEs
Abstract
Purpose: The purpose of this study is to assess the effect of technological, organizational and environmental factors on innovation ambidexterity and its influence on the performance of manufacturing small- and medium-sized enterprises (SMEs) as well as the moderating effect environmental dynamism on this relationship. Design/methodology/approach: Drawing on the Technology–Organization–Environment theory and the Knowledge-Based View, this paper develops an integrative research model, which analyzes the network of relations using covariance-based structural equation modeling on a data set of 429 Spanish SMEs. Findings: The results show that information technology capability, knowledge management capability and environmental dynamism are positively associated with innovation ambidexterity. In addition, environmental dynamism is found to strengthen the positive effect of innovation ambidexterity on firm performance. Practical implications: The study findings support the idea that innovation can be developed in an ambidextrous manner within a single SME as long as the firm is capable of creating a suitable organizational context and giving a prompt response to changes in the business environment. Originality/value: Although many studies have highlighted that being ambidextrous is more challenging for SMEs than for their larger counterparts, the vast majority of studies has been conducted in large companies. This paper extends prior literature by analyzing antecedents and outcomes of innovation ambidexterity in manufacturing SMEs.
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
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Bharadwaj, A. S. (2000) · MIS Quarterly · doi:10.2307/3250983 · Cited by 5,042
Exploration vs. Exploitation: An Empirical Test of the Ambidexterity Hypothesis
He, Z.-L., & Wong, P.-K. (2004) · Organization Science · doi:10.1287/orsc.1040.0078 · Cited by 3,737
Jansen, J. J. P., Van Den Bosch, F. A. J., & Volberda, H. W. (2006) · Management Science · doi:10.1287/mnsc.1060.0576 · Cited by 3,705
An Integrated Model of Information Systems Adoption in Small Businesses
Thong, J. Y. L. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518227 · Cited by 1,727
Cited by
Sahoo, S., Kumar, A., & Upadhyay, A. (2023) · Business Strategy and the Environment · doi:10.1002/bse.3160 · Cited by 606
Ghobakhloo, M., Iranmanesh, M., Grybauskas, A., Vilkas, M., & Petraitė, M. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2867 · Cited by 462
Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model
Rialti, R., Zollo, L., Ferraris, A., & Alon, I. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2019.119781 · Cited by 420
Falahat, M., Ramayah, T., Soto-Acosta, P., & Lee, Y.-Y. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.119908 · Cited by 348
Self-citationZhang, H. (2022) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2022.100192 · Cited by 40
Metadata
- Authors
- Soto-Acosta, P., Popa, S., & Martinez-Conesa, I.
- Venue
- Journal of Knowledge Management
- Publisher
- Emerald
- Published
- 2018-02-14
- Volume
- 22
- Issue
- 4
- Pages
- 824-849
- ISSN
- 1367-3270 (ISSN-L)
- OpenAlex
- W2787338357
- Cited by
- 472
- References
- 12
- FWCI
- 65.36
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Information technology, knowledge management and environmental dynamism as drivers of innovation ambidexterity: a study in SMEs. https://app.cochat.ai/papers/10.1108/jkm-10-2017-0448
- The paper
- Soto-Acosta, P., Popa, S., & Martinez-Conesa, I. (2018). Information technology, knowledge management and environmental dynamism as drivers of innovation ambidexterity: a study in SMEs. Journal of Knowledge Management. https://doi.org/10.1108/jkm-10-2017-0448
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.