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Guest editorial
(2019) investigated how experiential purchase quality influences experience self-connection and braggart word-of-mouth, for both first-time and repeat visitors, using a mixed-method approach comprised of: fuzzy-set qualitative comparative analysis (fsQCA), necessary condition analysis (NCA) and in-d...
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Published in: | International journal of contemporary hospitality management 2020-04, Vol.32 (4), p.1385-1391 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | (2019) investigated how experiential purchase quality influences experience self-connection and braggart word-of-mouth, for both first-time and repeat visitors, using a mixed-method approach comprised of: fuzzy-set qualitative comparative analysis (fsQCA), necessary condition analysis (NCA) and in-depth interviews. (2019) examined, using partial least squares, multi-group analysis (MGA), fsQCA and NCA, whether the impact of social and physical servicescape on international travellers’ dissatisfaction and misbehaviour differs between two characteristically different international airports in Iran. [...]there are several difficulties in undertaking innovative multi-method, mixed-method and multi-source research, including building a conceptual model from multi-source data; the high cost; require researchers to work in multiple teams or projects; the danger of personal bias; the possibility of generating different answers for the same phenomenon which could lead to the interpretation of different results at the qualitative and quantitative level; use of rigorous quantitative and qualitative research to assess the magnitude and meaning of concepts; and the need for systematic and robust reliability and validity assessment techniques. [...]the goal of this special issue was to encourage theoretical and empirical development to foster better understanding of the potential benefits and strengths of multi-method, mixed-method and multi-source approaches within the field. |
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ISSN: | 0959-6119 1757-1049 |
DOI: | 10.1108/IJCHM-04-2020-024 |