Guidelines for treating unobserved heterogeneity in tourism research: A comment on Marques and Reis (2015)

Sarstedt, Marko; Ringle, Christian M.; Gudergan, Siegfried P.

doi:10.1016/j.annals.2015.10.006

Cited by 48 publications

(31 citation statements)

References 40 publications

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“…We start by applying the FIMIX-PLS algorithm to narrow the range of statistically wellfitting segments. The FIMIX-PLS algorithm was executed 10 times for g = 2-5 segments, using the Akaike Information Criterion (AIC), Modified AIC with Factor 3 (AIC3), Bayesian Information Criterion (BIC), Consistent AIC (CAIC), Hannan-Quinn Criterion (HQ), and the normed Entropy Statistic (EN) as indicators to identify the appropriate segmentation solution (Sharma & Kim, 2012;Sarstedt, Ringle, & Gudergan, 2016). According to , the appropriate number of segments depends on a joint evaluation of the CAIC and AIC 3 indicators.…”

Section: Unobserved Heterogeneity and Subgroup Analysismentioning

confidence: 99%

IT architecture flexibility and IT governance decentralisation as drivers of IT-enabled dynamic capabilities and competitive performance: The moderating effect of the external environment

Mikalef

Pateli

Wetering

2020

European Journal of Information Systems

128

102

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A question of central importance for researchers and practitioners is how information technology (IT) can help firms survive and thrive in turbulent and constantly changing business environments. To address this issue, this study develops the idea that IT architecture flexibility helps sustain competitive performance by driving the formation of IT-enabled dynamic capabilities, and that IT governance decentralisation strengthens this relationship. IT architecture flexibility and IT governance decentralisation, therefore, develop complementary effects. We argue that IT-enabled dynamic capabilities are a core antecedent for competitive performance gains, particularly under uncertain external environmental conditions. Tests of the proposed model using survey data from 322 international firms support these ideas. Our research also shows that, under conditions of high environmental heterogeneity, the value of IT architecture flexibility and IT governance decentralisation is increased, while the impact of IT-enabled dynamic capabilities on competitive performance is amplified.

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Section: Unobserved Heterogeneity and Subgroup Analysismentioning

confidence: 99%

IT architecture flexibility and IT governance decentralisation as drivers of IT-enabled dynamic capabilities and competitive performance: The moderating effect of the external environment

Mikalef

Pateli

Wetering

2020

European Journal of Information Systems

128

102

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“…The described segments should be interpreted in terms of observable and practically meaningful variables. To do so, we have conducted a post-hoc analysis with 5 explanatory variables (degree of co-creation, gender, place of origin, type of museum and age) to explain the posterior probabilities membership (Hahn, Johnson, Herrmann, & Huber, 2002;Sarstedt, 2008;Sarstedt, Ringle, & Gudergan, 2016). The 4 items of co-creation were averaged as their reliability was very high (ρ = 0.81; AVE = 0.54) and all factor loadings gave high values in standardised terms and significantly different from zero.…”

Section: Model-based Clustering Procedures In the Context Of Simultanmentioning

confidence: 99%

Museum visitors’ heterogeneity and experience processing

Ruiz-Alba

Nazarian

Rodríguez-Molina

et al. 2019

International Journal of Hospitality Management

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This research examines the relationships between affective and cognitive antecedents and consequences of satisfaction under a market heterogeneity approach. It includes co-creation of preparatory activities. The sample consisted of 276 museum visitors in London. Two analysis have been conducted: structural equation model and latent class path analysis. The paper contributes to the development of a theoretical framework for further understanding of service experience in which cocreation plays an important role. Two segments were identified: 1) emotional (with lower degree of co-creation, equally distributed by age and nationality); 2) rational (higher degree of co-creation, younger and domestic visitors). Our research shows significant differences between the two segments regarding variables such as satisfaction, loyalty, service experience, emotion, positive disconfirmation and willingness to pay more.

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“…Thus, further research could conduct an extended moderator analysis examining in greater detail different properties of attitude strength. In a similar vein, research could explore whether other sources of (un)observed heterogeneity characterize the strength of the quality–delight–loyalty and quality–satisfaction–loyalty systems (Sarstedt, Ringle, and Gudergan 2016; Ratzmann, Gudergan, and Bouncken, 2016). Fourth, further research could assess the role of nonlinear relationships.…”

Section: Implications and Conclusionmentioning

confidence: 99%

Enhancing Service Loyalty

Ahrholdt

Gudergan

Ringle

2016

Journal of Travel Research

Self Cite

146

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Focusing on sporting events as an important segment within the tourism and travel industry, this study establishes that the service quality–delight–loyalty system complements a service quality–satisfaction–loyalty one. The findings highlight that prior consumption experience with a service coincides with lowered service evaluations while it amplifies the impact of customer delight on customer loyalty. In turn, this study provides practical insights into service quality dimensions for managing customer loyalty.

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Guidelines for treating unobserved heterogeneity in tourism research: A comment on Marques and Reis (2015)

Cited by 48 publications

References 40 publications

IT architecture flexibility and IT governance decentralisation as drivers of IT-enabled dynamic capabilities and competitive performance: The moderating effect of the external environment

IT architecture flexibility and IT governance decentralisation as drivers of IT-enabled dynamic capabilities and competitive performance: The moderating effect of the external environment

Museum visitors’ heterogeneity and experience processing

Enhancing Service Loyalty

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