SELECTION OF THE BEST SEM MODEL TO IDENTIFY FACTORS AFFECTING MARKETING PERFORMANCE IN THE ICT INDUSTRY

The digital revolution in society and the advances in marketing practices create tremendous challenges for companies and even more so for Information and Communication Technology (ICT) service providers. They are faced with increasingly complex and rapidly changing market competition, knowing these...

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Main Authors: Zetil Hikmah, Hari Wijayanto, Muhammad Nur Aidi
Format: Article
Language:English
Published: Universitas Pattimura 2023-06-01
Series:Barekeng
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Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8347
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author Zetil Hikmah
Hari Wijayanto
Muhammad Nur Aidi
author_facet Zetil Hikmah
Hari Wijayanto
Muhammad Nur Aidi
author_sort Zetil Hikmah
collection DOAJ
description The digital revolution in society and the advances in marketing practices create tremendous challenges for companies and even more so for Information and Communication Technology (ICT) service providers. They are faced with increasingly complex and rapidly changing market competition, knowing these problems can use SEM to form a research model and find out the relationship between latent variables and their indicators. The purpose of this study is to identify the best structural equation model that can describe Marketing Performance in the ICT Industry in Indonesia. The data used in this study is primary data obtained from the results of distributing offline and online questionnaires to 300 management levels working in the ICT Industry. The methods compared in this study are Covariance Based Structural Equation Modeling and Partial Least Square Structural Equation Modeling. The results showed that the best model to determine the factors that influence Marketing Performance in the ICT Industry in Indonesia is PLS-SEM with the goodness-of-fit model R2 for the latent variable Marketing Performance is 0.436. This shows that the accuracy of the variables CEM, DBI and DOE together in predicting MP variables is relatively weak. Based on the PLS-SEM model, it is found that Digital Operational Excellence is a mediator that can increase the influence of Customer Experience Management on Marketing Performance. Meanwhile, Digital Business Innovation has no significant effect in increasing the influence of Customer Experience Management on Marketing Performance. The novelty of this research is the development of the best SEM models (CB-SEM and PLS-SEM) in the field of Information and Communication Technology in Indonesia.
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spelling doaj-art-9adb522d60fb4ae283e5e195bdfd7ee72025-08-20T03:05:41ZengUniversitas PattimuraBarekeng1978-72272615-30172023-06-011721149116210.30598/barekengvol17iss2pp1149-11628347SELECTION OF THE BEST SEM MODEL TO IDENTIFY FACTORS AFFECTING MARKETING PERFORMANCE IN THE ICT INDUSTRYZetil Hikmah0Hari Wijayanto1Muhammad Nur Aidi2Department of Statistics and Data Science, Institut Pertanian Bogor, IndonesiaDepartment of Statistics and Data Science, Institut Pertanian Bogor, IndonesiaDepartment of Statistics and Data Science, Institut Pertanian Bogor, IndonesiaThe digital revolution in society and the advances in marketing practices create tremendous challenges for companies and even more so for Information and Communication Technology (ICT) service providers. They are faced with increasingly complex and rapidly changing market competition, knowing these problems can use SEM to form a research model and find out the relationship between latent variables and their indicators. The purpose of this study is to identify the best structural equation model that can describe Marketing Performance in the ICT Industry in Indonesia. The data used in this study is primary data obtained from the results of distributing offline and online questionnaires to 300 management levels working in the ICT Industry. The methods compared in this study are Covariance Based Structural Equation Modeling and Partial Least Square Structural Equation Modeling. The results showed that the best model to determine the factors that influence Marketing Performance in the ICT Industry in Indonesia is PLS-SEM with the goodness-of-fit model R2 for the latent variable Marketing Performance is 0.436. This shows that the accuracy of the variables CEM, DBI and DOE together in predicting MP variables is relatively weak. Based on the PLS-SEM model, it is found that Digital Operational Excellence is a mediator that can increase the influence of Customer Experience Management on Marketing Performance. Meanwhile, Digital Business Innovation has no significant effect in increasing the influence of Customer Experience Management on Marketing Performance. The novelty of this research is the development of the best SEM models (CB-SEM and PLS-SEM) in the field of Information and Communication Technology in Indonesia.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8347pls-semcb-semstatistical modelingict industry
spellingShingle Zetil Hikmah
Hari Wijayanto
Muhammad Nur Aidi
SELECTION OF THE BEST SEM MODEL TO IDENTIFY FACTORS AFFECTING MARKETING PERFORMANCE IN THE ICT INDUSTRY
Barekeng
pls-sem
cb-sem
statistical modeling
ict industry
title SELECTION OF THE BEST SEM MODEL TO IDENTIFY FACTORS AFFECTING MARKETING PERFORMANCE IN THE ICT INDUSTRY
title_full SELECTION OF THE BEST SEM MODEL TO IDENTIFY FACTORS AFFECTING MARKETING PERFORMANCE IN THE ICT INDUSTRY
title_fullStr SELECTION OF THE BEST SEM MODEL TO IDENTIFY FACTORS AFFECTING MARKETING PERFORMANCE IN THE ICT INDUSTRY
title_full_unstemmed SELECTION OF THE BEST SEM MODEL TO IDENTIFY FACTORS AFFECTING MARKETING PERFORMANCE IN THE ICT INDUSTRY
title_short SELECTION OF THE BEST SEM MODEL TO IDENTIFY FACTORS AFFECTING MARKETING PERFORMANCE IN THE ICT INDUSTRY
title_sort selection of the best sem model to identify factors affecting marketing performance in the ict industry
topic pls-sem
cb-sem
statistical modeling
ict industry
url https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8347
work_keys_str_mv AT zetilhikmah selectionofthebestsemmodeltoidentifyfactorsaffectingmarketingperformanceintheictindustry
AT hariwijayanto selectionofthebestsemmodeltoidentifyfactorsaffectingmarketingperformanceintheictindustry
AT muhammadnuraidi selectionofthebestsemmodeltoidentifyfactorsaffectingmarketingperformanceintheictindustry