Achieving the Success of Sustainability Development Projects through Big Data Analytics and Artificial Intelligence Capability

There has been increased interest in studying how big data analytics capability (BDAC) and artificial intelligence capability (AIC) lead to sustainable innovation and performance. Yet, few studies have investigated how these two emerging capabilities affect the success of sustainability development...

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Main Authors: Haili Zhang, Michael Song, Huanhuan He
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/3/949
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spelling doaj-e3c26c116d184aafaa0be94d7ef54e1a2020-11-25T02:05:54ZengMDPI AGSustainability2071-10502020-01-0112394910.3390/su12030949su12030949Achieving the Success of Sustainability Development Projects through Big Data Analytics and Artificial Intelligence CapabilityHaili Zhang0Michael Song1Huanhuan He2School of Economics and Management, Xi’an Technological University, Xi’an 710021, ChinaSchool of Economics and Management, Xi’an Technological University, Xi’an 710021, ChinaSchool of Economics and Management, Xi’an Technological University, Xi’an 710021, ChinaThere has been increased interest in studying how big data analytics capability (BDAC) and artificial intelligence capability (AIC) lead to sustainable innovation and performance. Yet, few studies have investigated how these two emerging capabilities affect the success of sustainability development projects through the mediating effects of the sustainability design and commercialization processes. Based on Day and Wensley’s theoretical framework for diagnosing competitive superiority, we propose a research model to investigate how sustainability design and commercialization mediate the relationships between two emerging capabilities and sustainable growth and performance. To test the proposed research model, we collected empirical data from 905 sustainability development projects from China and the United States. This study makes theoretical and managerial contributions to sustainable development theory. The study findings reveal several interesting results. First, BDAC and AIC not only increase the proficiency of sustainability design and commercialization but also directly enhance sustainable growth and performance. Second, sustainability design and commercialization mediate the positive effects of BDAC and AIC on sustainable growth and performance. Finally, the empirical analyses uncovered several cross-national differences. For sustainability design, BDAC is more important than AIC in the United States, while AIC is more important than BDAC in China.https://www.mdpi.com/2071-1050/12/3/949big data analytics capabilityartificial intelligence capabilitysustainability designcommercializationsustainable growth and performance
collection DOAJ
language English
format Article
sources DOAJ
author Haili Zhang
Michael Song
Huanhuan He
spellingShingle Haili Zhang
Michael Song
Huanhuan He
Achieving the Success of Sustainability Development Projects through Big Data Analytics and Artificial Intelligence Capability
Sustainability
big data analytics capability
artificial intelligence capability
sustainability design
commercialization
sustainable growth and performance
author_facet Haili Zhang
Michael Song
Huanhuan He
author_sort Haili Zhang
title Achieving the Success of Sustainability Development Projects through Big Data Analytics and Artificial Intelligence Capability
title_short Achieving the Success of Sustainability Development Projects through Big Data Analytics and Artificial Intelligence Capability
title_full Achieving the Success of Sustainability Development Projects through Big Data Analytics and Artificial Intelligence Capability
title_fullStr Achieving the Success of Sustainability Development Projects through Big Data Analytics and Artificial Intelligence Capability
title_full_unstemmed Achieving the Success of Sustainability Development Projects through Big Data Analytics and Artificial Intelligence Capability
title_sort achieving the success of sustainability development projects through big data analytics and artificial intelligence capability
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-01-01
description There has been increased interest in studying how big data analytics capability (BDAC) and artificial intelligence capability (AIC) lead to sustainable innovation and performance. Yet, few studies have investigated how these two emerging capabilities affect the success of sustainability development projects through the mediating effects of the sustainability design and commercialization processes. Based on Day and Wensley’s theoretical framework for diagnosing competitive superiority, we propose a research model to investigate how sustainability design and commercialization mediate the relationships between two emerging capabilities and sustainable growth and performance. To test the proposed research model, we collected empirical data from 905 sustainability development projects from China and the United States. This study makes theoretical and managerial contributions to sustainable development theory. The study findings reveal several interesting results. First, BDAC and AIC not only increase the proficiency of sustainability design and commercialization but also directly enhance sustainable growth and performance. Second, sustainability design and commercialization mediate the positive effects of BDAC and AIC on sustainable growth and performance. Finally, the empirical analyses uncovered several cross-national differences. For sustainability design, BDAC is more important than AIC in the United States, while AIC is more important than BDAC in China.
topic big data analytics capability
artificial intelligence capability
sustainability design
commercialization
sustainable growth and performance
url https://www.mdpi.com/2071-1050/12/3/949
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AT huanhuanhe achievingthesuccessofsustainabilitydevelopmentprojectsthroughbigdataanalyticsandartificialintelligencecapability
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