Entrepreneurship in tourism firms: A mixed-methods analysis of performance driver configurations

Abstract

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Knowledge management capabilities and organizational risk-taking for business model innovation in SMEs

“…It is necessary to specify the values of an interval-scale variable that correspond to the threshold for full membership (e.g., fuzzy score equal to 0.95), the cross-over point (e.g., fuzzy score equal to 0.5), and the threshold for full non-membership (e.g., fuzzy score equal to 0.05) (Ragin, 2009). In line with previous studies (e.g., Kallmuenzer, Kraus, Peters, Steiner, & Cheng, 2019;Palmer et al, 2019), we set the original values of 5.0, 3.0, and 1.0 of relevant antecedents and BMI from five-point Likert scales to correspond to full membership (95%), cross-over anchors (50%), and full non-membership (5%). In the next step of the fsQCA, this study separates configurations that are fostering BMI from those that are not by specifying the consistent cutoff value as 0.85 and the number-of-cases threshold as 2 (Ragin, 2009) and uses the truth table algorithm to generate the different combinations of causal conditions that are sufficient for achieving high BMI.…”

Gastronomy experiential traits and their effects on intentions for recommendation: A fuzzy set approach

“…QCA has since been adopted across a wide range of disciplines (Ragin, ; Rihoux, ). However, there has been only limited application of this method in tourism studies (Correia, Kozak, & Kim, ; D'Urso, Disegna, Massari, & Osti, ; Fotiadis, Yeh, & Huan, ; Ham, Koo, & Chung, ; Hashemi & Hanser, ; Kallmuenzer, Kraus, Peters, Steiner, & Cheng, ; Papatheodorou & Pappas, ; Woodside et al, ). For example, Woodside et al () adopted QCA to explain the general theory of cultural consequences.…”

“…Recently, Correia et al () utilized fuzzy theory to determine the ways in which luxury values affect tourists' shopping attitudes and to identify the relationship between luxury values and sociodemographic profiles. Kallmuenzer et al () assessed the effects of a complex interplay of factors, both internal and external, on the financial performance of tourism firms. They found that six different configurations, namely, environmental uncertainty settings, multidimensional entrepreneurial orientation, financial endowment, and personal and professional networks contributed to explaining tourism firms' performance.…”

Determinants of the Propensity for Innovation among Entrepreneurs in the Tourism Industry

“…Although entrepreneurship and innovation are central to the success and development of the tourism industry, there is scant literature on innovative entrepreneurship within the sector [22] and insufficient research on tourism innovation [23,24]. The literature on entrepreneurship in the tourism sector [25][26][27] has analysed such topics as tourism entrepreneurship [28][29][30], sustainable tourism entrepreneurship [31][32][33][34][35], innovation in restaurants [36,37] and the relationship between tourism entrepreneurship and innovation [38], but the factors that motivate the more or less innovative behaviour of the entrepreneur in tourism have not yet been studied, hence innovative behaviour remains subject to debate.…”