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The dataset for validation of customer inspiration construct in Malaysian context

This study intended to validate customer inspiration (CI)in Malaysian/developing country context. Data were collected from two different respondents for two studies - from Millennial customers of the auto industry and Generation Z customers of the smartphone industry. The survey conducted through a...

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Detalles Bibliográficos
Autores principales: Ghouri, Arsalan Mujahid, Kin, Tai Mei, Yunus, Nek Kamal bin Yeop, Akhtar, Pervaiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698774/
https://www.ncbi.nlm.nih.gov/pubmed/31440536
http://dx.doi.org/10.1016/j.dib.2019.104131
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author Ghouri, Arsalan Mujahid
Kin, Tai Mei
Yunus, Nek Kamal bin Yeop
Akhtar, Pervaiz
author_facet Ghouri, Arsalan Mujahid
Kin, Tai Mei
Yunus, Nek Kamal bin Yeop
Akhtar, Pervaiz
author_sort Ghouri, Arsalan Mujahid
collection PubMed
description This study intended to validate customer inspiration (CI)in Malaysian/developing country context. Data were collected from two different respondents for two studies - from Millennial customers of the auto industry and Generation Z customers of the smartphone industry. The survey conducted through a standardized and structured questionnaire. The variables of the both studies were customer-defined market orientation (MO) (customer orientation, competitor orientation, and interfunctional coordination), CI (inspired-by and inspired-to), and customer loyalty (CL). This research strategy, in terms of quantity, is descriptive and correlational. Statistical analysis of the data was carried out, using ADANCO 2.0. The finding of the study suggests all results of data 1 and data 2 were significant, and CI mediates the sub-constructs of MO with CL.
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spelling pubmed-66987742019-08-22 The dataset for validation of customer inspiration construct in Malaysian context Ghouri, Arsalan Mujahid Kin, Tai Mei Yunus, Nek Kamal bin Yeop Akhtar, Pervaiz Data Brief Business, Management and Accounting This study intended to validate customer inspiration (CI)in Malaysian/developing country context. Data were collected from two different respondents for two studies - from Millennial customers of the auto industry and Generation Z customers of the smartphone industry. The survey conducted through a standardized and structured questionnaire. The variables of the both studies were customer-defined market orientation (MO) (customer orientation, competitor orientation, and interfunctional coordination), CI (inspired-by and inspired-to), and customer loyalty (CL). This research strategy, in terms of quantity, is descriptive and correlational. Statistical analysis of the data was carried out, using ADANCO 2.0. The finding of the study suggests all results of data 1 and data 2 were significant, and CI mediates the sub-constructs of MO with CL. Elsevier 2019-06-11 /pmc/articles/PMC6698774/ /pubmed/31440536 http://dx.doi.org/10.1016/j.dib.2019.104131 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Business, Management and Accounting
Ghouri, Arsalan Mujahid
Kin, Tai Mei
Yunus, Nek Kamal bin Yeop
Akhtar, Pervaiz
The dataset for validation of customer inspiration construct in Malaysian context
title The dataset for validation of customer inspiration construct in Malaysian context
title_full The dataset for validation of customer inspiration construct in Malaysian context
title_fullStr The dataset for validation of customer inspiration construct in Malaysian context
title_full_unstemmed The dataset for validation of customer inspiration construct in Malaysian context
title_short The dataset for validation of customer inspiration construct in Malaysian context
title_sort dataset for validation of customer inspiration construct in malaysian context
topic Business, Management and Accounting
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698774/
https://www.ncbi.nlm.nih.gov/pubmed/31440536
http://dx.doi.org/10.1016/j.dib.2019.104131
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