Adopt Big-Data Analytics to Explore and Exploit the New Value for Service Innovation

Big-data analytics is gaining substantial attention due to its contribution to the process of determining business strategy and providing valuable information for the design and development of service innovation. The principal objective of this research is to study the adoption of big-data analytics...

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Main Authors: Nopsaran Thuethongchai, Tatri Taiphapoon, Achara Chandrachai, Sipat Triukose
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Social Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-0760/9/3/29
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author Nopsaran Thuethongchai
Tatri Taiphapoon
Achara Chandrachai
Sipat Triukose
author_facet Nopsaran Thuethongchai
Tatri Taiphapoon
Achara Chandrachai
Sipat Triukose
author_sort Nopsaran Thuethongchai
collection DOAJ
description Big-data analytics is gaining substantial attention due to its contribution to the process of determining business strategy and providing valuable information for the design and development of service innovation. The principal objective of this research is to study the adoption of big-data analytics for service innovation. The focus will be on leveraging features of data analytics to capture genuine customer’s requirements from the communication data through the digital service channel. This study used mixed methods research of documentary research, with supplementary semi-structured interviews. The interviews were conducted with 11 executive managements who have more than ten years of experience in data analytics or service development. The result of the research found that organizations in the services industry are using big data analytics to build capabilities to gain competitive advantages as well as the ability to rapidly and accurately respond to the market’s demands. The process of adopting big-data analytics for service innovation described in this article consists of seven essential procedural steps that impact the success of the development of service innovation, and also considered with the objective of increasing effectiveness in opportunity identification and reduce complexity in the fuzzy frond-end service innovation development theory.
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spelling doaj.art-30feb092ed6e4e9da3d521fbf8de983d2022-12-22T02:44:31ZengMDPI AGSocial Sciences2076-07602020-03-01932910.3390/socsci9030029socsci9030029Adopt Big-Data Analytics to Explore and Exploit the New Value for Service InnovationNopsaran Thuethongchai0Tatri Taiphapoon1Achara Chandrachai2Sipat Triukose3Technopreneurship and Innovation Management Program, Chulalongkorn University, Bangkok 10330, ThailandFaculty of Communication Arts, Chulalongkorn University, Bangkok 10330, ThailandChulalongkorn Business School, Chulalongkorn University, Bangkok 10330, ThailandResearch Group on Applied Computer Engineering Technology for Medicine and Healthcare, Big-data Analytics and IoT Center (CUBIC), Chulalongkorn University, Bangkok 10330, ThailandBig-data analytics is gaining substantial attention due to its contribution to the process of determining business strategy and providing valuable information for the design and development of service innovation. The principal objective of this research is to study the adoption of big-data analytics for service innovation. The focus will be on leveraging features of data analytics to capture genuine customer’s requirements from the communication data through the digital service channel. This study used mixed methods research of documentary research, with supplementary semi-structured interviews. The interviews were conducted with 11 executive managements who have more than ten years of experience in data analytics or service development. The result of the research found that organizations in the services industry are using big data analytics to build capabilities to gain competitive advantages as well as the ability to rapidly and accurately respond to the market’s demands. The process of adopting big-data analytics for service innovation described in this article consists of seven essential procedural steps that impact the success of the development of service innovation, and also considered with the objective of increasing effectiveness in opportunity identification and reduce complexity in the fuzzy frond-end service innovation development theory.https://www.mdpi.com/2076-0760/9/3/29opportunity identificationservice innovationnew service developmentbig-data analyticsdata analytics
spellingShingle Nopsaran Thuethongchai
Tatri Taiphapoon
Achara Chandrachai
Sipat Triukose
Adopt Big-Data Analytics to Explore and Exploit the New Value for Service Innovation
Social Sciences
opportunity identification
service innovation
new service development
big-data analytics
data analytics
title Adopt Big-Data Analytics to Explore and Exploit the New Value for Service Innovation
title_full Adopt Big-Data Analytics to Explore and Exploit the New Value for Service Innovation
title_fullStr Adopt Big-Data Analytics to Explore and Exploit the New Value for Service Innovation
title_full_unstemmed Adopt Big-Data Analytics to Explore and Exploit the New Value for Service Innovation
title_short Adopt Big-Data Analytics to Explore and Exploit the New Value for Service Innovation
title_sort adopt big data analytics to explore and exploit the new value for service innovation
topic opportunity identification
service innovation
new service development
big-data analytics
data analytics
url https://www.mdpi.com/2076-0760/9/3/29
work_keys_str_mv AT nopsaranthuethongchai adoptbigdataanalyticstoexploreandexploitthenewvalueforserviceinnovation
AT tatritaiphapoon adoptbigdataanalyticstoexploreandexploitthenewvalueforserviceinnovation
AT acharachandrachai adoptbigdataanalyticstoexploreandexploitthenewvalueforserviceinnovation
AT sipattriukose adoptbigdataanalyticstoexploreandexploitthenewvalueforserviceinnovation