Nurturing service innovation through developmental culture: A multilevel model

Journal of Hospitality and Tourism Management ◽

10.1016/j.jhtm.2022.01.001 ◽

2022 ◽

Vol 50 ◽

pp. 93-107

Author(s):

Mingjun Yang ◽

Tuan Trong Luu ◽

David Qian

Keyword(s):

Multilevel Model ◽

Service Innovation

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A Multilevel Model of Service Innovation in the Android App Market

Academy of Management Proceedings ◽

10.5465/ambpp.2017.14372abstract ◽

2017 ◽

Vol 2017 (1) ◽

pp. 14372

Author(s):

George Kuk ◽

Marina Moreira ◽

George Michaelides ◽

Jian Shao

Keyword(s):

Multilevel Model ◽

Service Innovation ◽

Android App

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Modeling Intraindividual Variability in Three-Level Multilevel Models

Methodology ◽

10.1027/1614-2241/a000150 ◽

2018 ◽

Vol 14 (3) ◽

pp. 95-108 ◽

Cited By ~ 4

Author(s):

Steffen Nestler ◽

Katharina Geukes ◽

Mitja D. Back

Keyword(s):

Multilevel Model ◽

Multilevel Models ◽

Mixed Effects ◽

Repeated Measurements ◽

Scale Model ◽

Suggested Approach ◽

Psychological Study ◽

Level Data ◽

Ecological Momentary ◽

Momentary Assessment

Abstract. The mixed-effects location scale model is an extension of a multilevel model for longitudinal data. It allows covariates to affect both the within-subject variance and the between-subject variance (i.e., the intercept variance) beyond their influence on the means. Typically, the model is applied to two-level data (e.g., the repeated measurements of persons), although researchers are often faced with three-level data (e.g., the repeated measurements of persons within specific situations). Here, we describe an extension of the two-level mixed-effects location scale model to such three-level data. Furthermore, we show how the suggested model can be estimated with Bayesian software, and we present the results of a small simulation study that was conducted to investigate the statistical properties of the suggested approach. Finally, we illustrate the approach by presenting an example from a psychological study that employed ecological momentary assessment.

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