dc.contributor.author | Sedoglavich, Vesna | |
dc.contributor.author | Akoorie, Michèle E.M. | |
dc.contributor.author | Pavlovich, Kathryn | |
dc.date.accessioned | 2014-02-28T02:53:12Z | |
dc.date.available | 2014-02-28T02:53:12Z | |
dc.date.copyright | 2014-02-24 | |
dc.date.issued | 2014 | |
dc.identifier.citation | Sedoglavich, V., Akoorie, M. E. M., & Pavlovich, K. (2014). Measuring absorptive capacity in high-tech companies: Mixing qualitative and quantitative methods. Journal of Mixed Methods Research, published online February 24 2014. | en_NZ |
dc.identifier.uri | https://hdl.handle.net/10289/8537 | |
dc.description.abstract | The objective of this article is to show how mixed methods can be used to develop a deeper understanding of the construct, absorptive capacity (AC). We used qualitative data from eight case studies to identify which types of AC knowledge firms have. Then we identified variables for measuring AC. We identified two types of AC: “technological” AC and “non-core” AC. Using a Karnaugh Map and a Fuzzy Logic Design, we developed a quantitative model to measure overall AC. By focusing on interpretive integration, our results from using both qualitative and quantitative methods yielded complementary rather than contradictory findings, and the goal of “knowing more” about AC was achieved. | en_NZ |
dc.language.iso | en | en_NZ |
dc.publisher | Sage | en_NZ |
dc.relation.ispartof | Journal of Mixed Methods Research | |
dc.subject | mixed methods | en_NZ |
dc.subject | absorptive capacity measurement | en_NZ |
dc.subject | fuzzy set theory | en_NZ |
dc.subject | Karnaugh map | en_NZ |
dc.subject | capability quantification | en_NZ |
dc.title | Measuring absorptive capacity in high-tech companies: Mixing qualitative and quantitative methods | en_NZ |
dc.type | Journal Article | en_NZ |
dc.identifier.doi | 10.1177/1558689814523677 | en_NZ |