CoChat
Sign Up
Cited by 36Innovation and Knowledge ManagementQualitative Comparative Analysis ResearchFirm Innovation and Growth

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Asymmetric modeling of organizational innovation

Open access
Hervas-Oliver, Jose-Luis, Sempere-Ripoll, Francisca, Arribas, Ivan·2015·Journal of Business Research
DOI 10.1016/j.jbusres.2015.04.005
Open this paper in CoChat — free account

Overview

Integrity signals

Registry

Crossref · 10.1016/j.jbusres.2015.04.005

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 39

  1. Armstrong, 2012, Illusions in regression analysis, International Journal of Forecasting, 28, 689, 10.1016/j.ijforecast.2012.02.001 · DOI
  2. Battisti, 2009, The intra-firm diffusion of complementary innovations: Evidence from the adoption of management practices by British establishments, Research Policy, 38, 1326, 10.1016/j.respol.2009.06.002 · DOI
  3. Battisti, 2010, How innovative are UK firms? Evidence from the fourth UK community innovation survey on synergies between technological and organizational innovations, British Journal of Management, 21, 187, 10.1111/j.1467-8551.2009.00629.x · DOI
  4. Boer, 2001, Innovation, what innovation? A comparison between product, process and organizational innovation, International Journal of Technology Management, 22, 83, 10.1504/IJTM.2001.002956 · DOI
  5. Damanpour, 1991, Organizational innovation — A metaanalysis of effects of determinants and moderators, Academy of Management Journal, 34, 555, 10.2307/256406 · DOI · Paper page
  6. Damanpour, 2014, Footnotes to research on management innovation, Organization Studies, 35, 1265, 10.1177/0170840614539312 · DOI
  7. Damanpour, 2009, Combinative effects of innovation types and organizational performance: A longitudinal study of service organizations, Journal of Management Studies, 46, 650, 10.1111/j.1467-6486.2008.00814.x · DOI
  8. Ettlie, 1992, Organizational integration and process innovation, Academy of Management Journal, 35, 795, 10.2307/256316 · DOI
  9. Evangelista, 2010, The economic impact of technological and organizational innovations: A firm-level analysis, Research Policy, 39, 1253, 10.1016/j.respol.2010.08.004 · DOI
  10. Fagerberg, 2012, Introduction: The heterogeneity of innovation—Evidence from the community innovation surveys, Industrial and Corporate Change, 21, 1175, 10.1093/icc/dts024 · DOI
  11. Fiss, 2011, Building better casual theories: A fuzzy set approach to typologies in organizational research, Academy of Management Journal, 54, 393, 10.5465/AMJ.2011.60263120 · DOI · Paper page
  12. Gigerenzer, 1991, From tools to theories: A heuristic of discovery in cognitive psychology, Psychological Review, 98, 254, 10.1037/0033-295X.98.2.254 · DOI
  13. Gigerenzer, 2009, Homo heuristicus: Why biased minds make better inferences, Topics in Cognitive Science, 1, 107, 10.1111/j.1756-8765.2008.01006.x · DOI · Paper page
  14. Heidenreich, 2009, Innovation patterns and location of European low- and medium-technology industries, Research Policy, 38, 483, 10.1016/j.respol.2008.10.005 · DOI · Paper page
  15. Hervas-Oliver, 2011, Making sense of innovation by R&D and non-R&D innovators in low technology contexts: A forgotten lesson for policymakers, Technovation, 31, 427, 10.1016/j.technovation.2011.06.006 · DOI
  16. Hervas-Oliver, 2014, Process innovation strategy in SMEs, organizational innovation and performance: A misleading debate?, Small Business Economics, 43, 873, 10.1007/s11187-014-9567-3 · DOI
  17. Hervas-Oliver, 2015, Technological innovation without R&D: Unfolding the extra gains of management innovations on technological performance, Technology Analysis and Strategic Management, 27, 19, 10.1080/09537325.2014.944147 · DOI
  18. Hervas-Oliver, 2015, Disentangling the influence of technological process and product innovations, Journal of Business Research, 68, 109, 10.1016/j.jbusres.2014.04.010 · DOI
  19. Hollen, 2013, The role of management innovation in enabling technological process innovation: An inter‐organizational perspective, European Management Review, 10, 35, 10.1111/emre.12003 · DOI
  20. Hudson, 2013, Beyond indices: The potential of fuzzy set ideal type analysis for cross-national analysis of policy outcomes, Policy and Society, 32, 303, 10.1016/j.polsoc.2013.10.003 · DOI
  21. Longest, 2008, Fuzzy: A program for performing qualitative comparative analyses (QCA) in Stata, Stata Journal, 8, 79, 10.1177/1536867X0800800106 · DOI
  22. McClelland, 1998, Identifying competencies with behavioral-event interviews, Psychological Science, 9, 331, 10.1111/1467-9280.00065 · DOI
  23. Milgrom, 1995, Complementarities and fit strategy, structure, and organizational change in manufacturing, Journal of Accounting and Economics, 19, 179, 10.1016/0165-4101(94)00382-F · DOI
  24. Mol, 2009, The sources of management innovation: When firms introduce new management practices, Journal of Business Research, 62, 1269, 10.1016/j.jbusres.2009.01.001 · DOI
  25. Ordanini, 2014, When the recipe is more important than the ingredients: A qualitative comparative analysis (QCA) of service innovation configuration, Journal of Service Research, 17, 134, 10.1177/1094670513513337 · DOI
  26. Parisi, 2006, Productivity innovation and R&D: Micro evidence for Italy, European Economic Review, 50, 2037, 10.1016/j.euroecorev.2005.08.002 · DOI
  27. Peteraf, 1993, The cornerstones of competitive advantage: A resource-based view, Strategic Management Journal, 14, 179, 10.1002/smj.4250140303 · DOI
  28. Porter, 1996, What is strategy?, Harvard Business Review, 74, 61
  29. Rivkin, 2000, Imitation of complex strategies, Management Science, 46, 824, 10.1287/mnsc.46.6.824.11940 · DOI
  30. Roberts, 2000, How persuasive is a good fit? A comment on theory testing, Psychological Review, 107, 358, 10.1037/0033-295X.107.2.358 · DOI
  31. Siggelkow, 2001, Change in the presence of fit: The rise, the fall, and the renaissance of Liz Claiborne, Academy of Management Journal, 44, 838, 10.2307/3069418 · DOI
  32. Teece, 1986, Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy, Research Policy, 15, 285, 10.1016/0048-7333(86)90027-2 · DOI · Paper page
  33. Volberda, 2013, Management innovation: Management as fertile ground for innovation, European Management Review, 10, 1, 10.1111/emre.12007 · DOI
  34. Woodside, 2013, Moving beyond multiple regression analysis to algorithms: Calling for a paradigm shift from symmetric to asymmetric thinking in data analysis, and crafting theory, Journal of Business Research, 66, 463, 10.1016/j.jbusres.2012.12.021 · DOI
  35. Woodside, 2013, Proposing a new logic for data analysis in marketing and consumer behavior: Case study research of large-N survey data for estimating algorithms that accurately profile X (extremely high-use) consumers, Journal of Global Scholars of Marketing Science, 22, 277, 10.1080/21639159.2012.717369 · DOI
  36. Woodside, 2014, Embrace perform model: Complexity theory, contrarian case analysis, and multiple realities, Journal of Business Research, 67, 2495, 10.1016/j.jbusres.2014.07.006 · DOI
  37. Woodside, 2012, Identifying X-consumers using causal recipes: ‘Whales’ and ‘jumbo shrimps’ casino gamblers, Journal of Gambling Studies, 28, 13, 10.1007/s10899-011-9241-5 · DOI
  38. Wu, 2014, Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations, Journal of Business Research, 67, 1647, 10.1016/j.jbusres.2014.03.012 · DOI · Paper page
  39. Zadeh, 1965, Fuzzy sets, Information and Control, 8, 338, 10.1016/S0019-9958(65)90241-X · DOI · Paper page

Cited by

Sorted by citations

See all 36

Metadata

Authors
Hervas-Oliver, J.-L., Sempere-Ripoll, F., & Arribas, I.
Affiliations
Universitat Politècnica de València (ES)
ORCID
Sempere-Ripoll, Francisca
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2015-12
Volume
68
Issue
12
Pages
2654-2662
ISSN
0148-2963 (ISSN-L)
DOI
10.1016/j.jbusres.2015.04.005
OpenAlex
W215487643
Cited by
36
References
3
Citations by year
2026: 1 · 2025: 7 · 2024: 1 · 2023: 5 · 2022: 4 · 2021: 1 · 2020: 2 · 2019: 3 · 2018: 1 · 2017: 7 · 2016: 3 · 2015: 1
FWCI
10.33
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Business Research (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • RiuNet (Universitat Politècnica de València) (submittedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
  • Social Sciences › Sociology and Political Science › Qualitative Comparative Analysis Research
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Firm Innovation and Growth
Keywords
organizational innovation, technological innovation, product innovation, process innovation, innovation impact, antecedent conditions, fuzzy-set qualitative comparative analysis

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