Absorptive capacity and cultural diversity in the restaurant sector

Autor: Michelle Lins de Moraes, Inês Carvalho, Bernardo Silva, Antónia Correia, Manuel do Carmo
Rok vydání: 2022
Předmět:
Zdroj: Anatolia. :1-4
ISSN: 2156-6909
1303-2917
DOI: 10.1080/13032917.2022.2145572
Popis: An important way to develop innovation is through organizations’ absorptive capacity (ACAP). ACAP can be understood as the ability of companies to innovate through the application of external knowledge (Cohen & Levinthal, 1990). One hospitality industry that could potentially leverage ACAP is restaurants. Innovation is still scarcely applied in restaurant companies despite the relevance of competitive advantage stemming from innovation (Blöcher & Alt, 2021). According to Gao et al. (2017), one of the most relevant ACAP models in the literature was developed by Zahra and George in 2002. It considers the following dimensions: antecedents (knowledge sources); activation triggers (aspects that encourage companies to search for external knowledge, e.g. crises); components (acquisition, assimilation, transformation, and exploitation of knowledge); (in)formal social integration mechanisms (which promote the sharing of knowledge among employees); regimes of appropriability (e.g. patents); and outcomes (e.g. innovation). Recent studies have highlighted the relevance of employees to ACAP dimensions in the tourism sector (Moraes et al., 2021). In fact, the workforce of this sectors has high levels of cultural diversity. Cultural diversity has been considered a key aspect for management innovation in these companies (Manoharan et al., 2019). The number of publications about ACAP in tourism has increased in the last years; however, the relationship between ACAP and aspects such as cultural diversity is still an understudied subject. The present study researched how cultural diversity in the workforce is associated with restaurants’ ACAP in order to contribute to a better understanding about these dynamics. info:eu-repo/semantics/publishedVersion
Databáze: OpenAIRE