1. A Quantitative and Qualitative Analysis of Absorptive Capacity and Hospitality Literature.
- Author
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Moraes, Michelle, Lopes, Sofia, and Monteiro, Anabela
- Subjects
QUALITATIVE research ,HOSPITALITY ,KNOWLEDGE management ,POLICY sciences - Abstract
In the last years, the number of publications about hospitality and absorptive capacity – defined as the ability to recognize and apply new external knowledge (Cohen & Levinthal, 1990) – considerably increased. According to these publications, the main outputs of absorptive capacity and hospitality are, respectively, organization improvements in terms of innovation (Zhara & George, 2002) and service differentiation (Kunwar, 2017). The relation between absorptive capacity and hospitality lays in the fact that organizations can optimize the use of new external knowledge, related to hospitality, to respond in a more efficient way to the customers’ needs. Despite the relevance of both aspects to companies of different sectors, such as tourism, there are still gaps in terms of quantitative and qualitative analysis that contemplate simultaneously both absorptive capacity and hospitality literatures. In order to fulfill part of the mentioned gap, this study’s purpose was to elaborate a quantitative and qualitative analysis about this literature, more specifically: i) to verify the alignment between traditional absorptive capacity literature and publications that contemplate simultaneously both themes - absorptive capacity and hospitality; ii) to quantify its sources (authors and journals); iii) to highlight the future research questions suggested in these publications. To achieve this goal, all the management publications indexed in Web of Science that have as topics “absorptive capacity” and “hospitality” were analyzed by using VOSviewer, HistCite and Nvivo. Based on the main results, we have confirmed: the presence of some traditional absorptive capacity aspects in this literature and also the emergence of new aspects; the necessity to develop more studies that contemplate new theoretical ideas and models as well as multi-level measurements, quantitative methods and longitudinal techniques. A better understanding of these aspects can contribute to future studies and can also be interesting to policy makers and managers, especially, in a context of industry 4.0. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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