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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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 |
work_keys_str_mv |
AT hailizhang achievingthesuccessofsustainabilitydevelopmentprojectsthroughbigdataanalyticsandartificialintelligencecapability AT michaelsong achievingthesuccessofsustainabilitydevelopmentprojectsthroughbigdataanalyticsandartificialintelligencecapability AT huanhuanhe achievingthesuccessofsustainabilitydevelopmentprojectsthroughbigdataanalyticsandartificialintelligencecapability |
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