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Seunghun Shin, Chulmo Koo, Jungkeun Kim and Dogan Gursoy
This paper aims to examine the impact of metaverse experiences on customers’ offline behavioral intentions: How do customers’ visits to a hospitality business’s virtual property…
Abstract
Purpose
This paper aims to examine the impact of metaverse experiences on customers’ offline behavioral intentions: How do customers’ visits to a hospitality business’s virtual property in the metaverse affect their intentions to visit the physical property in the real world?
Design/methodology/approach
Based on the general learning model and social cognitive theory, this research hypothesizes the positive impact of metaverse experiences on customers’ visit intentions and explores two boundary conditions for positive impact: user–avatar resemblance and servicescape similarity. Two experimental studies were conducted.
Findings
Metaverse experience has a significant impact on customers’ visit intentions, and this impact is moderated by user–avatar resemblance and servicescape similarity.
Research limitations/implications
This research addresses the call for empirical studies regarding the effects of metaverse experience on people’s behavioral intentions.
Originality/value
As one of the earliest empirical studies on the marketing effects of the metaverse, this research provides a basis for future metaverse studies in the hospitality field.
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Keywords
Olasunkanmi James Kehinde, Jeff Walls, Amanda Mayeaux and Allison Comeaux
The purpose of this study is to propose and explore a conceptualization of decisional capital that is suitable for early career teachers.
Abstract
Purpose
The purpose of this study is to propose and explore a conceptualization of decisional capital that is suitable for early career teachers.
Design/methodology/approach
This study uses exploratory factor analysis on a sample of early career teachers to examine a literature-derived conceptualization of decisional capital.
Findings
The factors that emerged support the literature-derived conceptualization. A subsequent confirmatory factor analysis on a second sample of early career teachers offers additional evidence for the proposed conceptualization. An exploration of the underlying factor structure comparing results across four competing models (i.e. unidimensional, correlated factors, second order, and bifactor) suggests that a second order factor explains the variance across the three proposed factors well. We conclude that this second order factor is decisional capital.
Originality/value
This is the first study that examines the discrete elements of decisional capital. Understanding these discrete elements is an avenue for investigation into the development of decisional capital beyond the acknowledgment that it takes time to develop.
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