How Dynamic Capabilities in Maintenance Enable Metal Plants in the UAE Via Big Data Analytic Capabilities Towards Digital Twins Adoption? A Mediation and Moderation Analysis

The research employed a standardised survey to explore how Dynamic Capabilities (DCs) are influencing the adoption of Digital Twins (DTs) through Big Data Analytics Capabilities (BDAC) as a mediator variable. Furthermore, it also inspects the influence of Digital Leadership (DL) as a moderator varia...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: SA’ADEH, AREEJ (author)
منشور في: 2024
الموضوعات:
الوصول للمادة أونلاين:https://bspace.buid.ac.ae/handle/1234/2709
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author SA’ADEH, AREEJ
author_facet SA’ADEH, AREEJ
author_role author
dc.contributor.none.fl_str_mv Dr Sa’Ed Salhiah
dc.creator.none.fl_str_mv SA’ADEH, AREEJ
dc.date.none.fl_str_mv 2024-11-15T10:59:36Z
2024-11-15T10:59:36Z
2024-06
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 22001439
https://bspace.buid.ac.ae/handle/1234/2709
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv The British University in Dubai (BUiD)
dc.subject.none.fl_str_mv big data analytics capabilities, digital twins, digital leadership, overall performance, dynamic capabilities, sensing, seizing, transforming, resource-based view
dc.title.none.fl_str_mv How Dynamic Capabilities in Maintenance Enable Metal Plants in the UAE Via Big Data Analytic Capabilities Towards Digital Twins Adoption? A Mediation and Moderation Analysis
dc.type.none.fl_str_mv Dissertation
description The research employed a standardised survey to explore how Dynamic Capabilities (DCs) are influencing the adoption of Digital Twins (DTs) through Big Data Analytics Capabilities (BDAC) as a mediator variable. Furthermore, it also inspects the influence of Digital Leadership (DL) as a moderator variable in above relationship in terms of maintenance in metal plants in United Arab Emirates (UAE). This research reveals a correlation between above indicated variables based on practical responses from maintenance. Results will definitely support the improvement of maintenance performance in metal plants. Mediation and moderation analyses were conducted using SmartPLS4 to test four hypotheses based on data collected from 183 respondents, comprising managers, engineers and technicians from maintenance departments in various metal plants in UAE. As hypothesised, research findings suggest that BDAC plays a mediating role in relationship between DCs including seizing (SEZ) and transforming (TRF) and adoption of DTs. However, sensing (SEN) has neither a direct nor an indirect relationship with DTs. Additionally, low DL significantly strengthens moderation effect in terms of positive relationship between BDAC and adoption of DTs. These findings confirm need of this research's key predictor variable - DCs, BDAC and moderator variable DL - in driving organisational readiness toward digital transformation. The research is limited and should not be generalised given that it has only focused on analysing collected data from one sector - metal plants industry in the UAE. Future research should focus on analysing how applicable this framework is across other industries while investigating factors for adoption of DTs.
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network_name_str The British University in Dubai repository
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publisher.none.fl_str_mv The British University in Dubai (BUiD)
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spelling How Dynamic Capabilities in Maintenance Enable Metal Plants in the UAE Via Big Data Analytic Capabilities Towards Digital Twins Adoption? A Mediation and Moderation AnalysisSA’ADEH, AREEJbig data analytics capabilities, digital twins, digital leadership, overall performance, dynamic capabilities, sensing, seizing, transforming, resource-based viewThe research employed a standardised survey to explore how Dynamic Capabilities (DCs) are influencing the adoption of Digital Twins (DTs) through Big Data Analytics Capabilities (BDAC) as a mediator variable. Furthermore, it also inspects the influence of Digital Leadership (DL) as a moderator variable in above relationship in terms of maintenance in metal plants in United Arab Emirates (UAE). This research reveals a correlation between above indicated variables based on practical responses from maintenance. Results will definitely support the improvement of maintenance performance in metal plants. Mediation and moderation analyses were conducted using SmartPLS4 to test four hypotheses based on data collected from 183 respondents, comprising managers, engineers and technicians from maintenance departments in various metal plants in UAE. As hypothesised, research findings suggest that BDAC plays a mediating role in relationship between DCs including seizing (SEZ) and transforming (TRF) and adoption of DTs. However, sensing (SEN) has neither a direct nor an indirect relationship with DTs. Additionally, low DL significantly strengthens moderation effect in terms of positive relationship between BDAC and adoption of DTs. These findings confirm need of this research's key predictor variable - DCs, BDAC and moderator variable DL - in driving organisational readiness toward digital transformation. The research is limited and should not be generalised given that it has only focused on analysing collected data from one sector - metal plants industry in the UAE. Future research should focus on analysing how applicable this framework is across other industries while investigating factors for adoption of DTs.The British University in Dubai (BUiD)Dr Sa’Ed Salhiah2024-11-15T10:59:36Z2024-11-15T10:59:36Z2024-06Dissertationapplication/pdf22001439https://bspace.buid.ac.ae/handle/1234/2709enoai:bspace.buid.ac.ae:1234/27092024-11-15T23:00:32Z
spellingShingle How Dynamic Capabilities in Maintenance Enable Metal Plants in the UAE Via Big Data Analytic Capabilities Towards Digital Twins Adoption? A Mediation and Moderation Analysis
SA’ADEH, AREEJ
big data analytics capabilities, digital twins, digital leadership, overall performance, dynamic capabilities, sensing, seizing, transforming, resource-based view
title How Dynamic Capabilities in Maintenance Enable Metal Plants in the UAE Via Big Data Analytic Capabilities Towards Digital Twins Adoption? A Mediation and Moderation Analysis
title_full How Dynamic Capabilities in Maintenance Enable Metal Plants in the UAE Via Big Data Analytic Capabilities Towards Digital Twins Adoption? A Mediation and Moderation Analysis
title_fullStr How Dynamic Capabilities in Maintenance Enable Metal Plants in the UAE Via Big Data Analytic Capabilities Towards Digital Twins Adoption? A Mediation and Moderation Analysis
title_full_unstemmed How Dynamic Capabilities in Maintenance Enable Metal Plants in the UAE Via Big Data Analytic Capabilities Towards Digital Twins Adoption? A Mediation and Moderation Analysis
title_short How Dynamic Capabilities in Maintenance Enable Metal Plants in the UAE Via Big Data Analytic Capabilities Towards Digital Twins Adoption? A Mediation and Moderation Analysis
title_sort How Dynamic Capabilities in Maintenance Enable Metal Plants in the UAE Via Big Data Analytic Capabilities Towards Digital Twins Adoption? A Mediation and Moderation Analysis
topic big data analytics capabilities, digital twins, digital leadership, overall performance, dynamic capabilities, sensing, seizing, transforming, resource-based view
url https://bspace.buid.ac.ae/handle/1234/2709