Collection Title:	SIU Thesis
Title :	Data-Driven Innovation Process for Overcoming Competitiveness Challenges Facing Thai Export-Oriented Garment Industry
Material Type:	printed text
Authors:	Zeng Yan, Author ; Chanchai Bunchapattanasakda, Associated Name ; Ousanee Sawagvudcharee, Associated Name
Publisher:	Bangkok: Shinawatra University
Publication Date:	2019
Pagination:	x, 154 p.
Layout:	Tables, ill.
Size:	30 cm.
Price:	500.00 Baht.
General note:	SIU THE: SOM-PhD-MS-2019-01 Thesis. [PhD. [Philosophy in Management Science].-- Shinawatra University, 2019
Languages :	English (eng)
Descriptors:	[LCSH]Export marketing [LCSH]Garment cutting [LCSH]Textile Industry
Keywords:	Competitiveness, Export-oriented garment industry, Data-driven innovation, Garment global value chain
Abstract:	The purpose of this study was to explore how Thailand exported-oriented garment industry can conduct data-driven innovation to overcome competitiveness challenges in global garment value chain. This study examines competitiveness challenges of Thai export-oriented garment industry by testing the research hypotheses and develops data-driven innovation framework as a sustainable competitive advantage by using constructivist grounded theory. The bases of this study lie in understanding what kind of competitiveness challenges Tai exported-oriented garment industry faces in terms of resource-based, dynamic capabilities and market-based factors. In this study, a purposeful sample of 211 garment sectors was drawn from total 359. Study participants were garment managers, in garment industry over 5 years. The data collection includes questionnaire investigation for quantitative factor analysis method and intensive interview with garment senior managers for qualitative analysis approach. Specifically, this study provides empirical evidence both quantitative and qualitative on the specific channels and mechanisms through how data-driven innovation process is facilitated within current garment sectors. This study found that there was significant relationship between competitiveness and resource-based factors; dynamic capabilities factors and market-based factors in the export-oriented garment industry (i.e., challenges relates to productivity, lead-time, collaboration, opportunity identification, quick response and risk identification factors). Additionally, this study also found that data-driven innovation supported to Thai export-oriented garment industry overcomes competitiveness challenges.
Curricular :	BBA/MBA/PhDM
Record link:	http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=27923

SIU Thesis. Data-Driven Innovation Process for Overcoming Competitiveness Challenges Facing Thai Export-Oriented Garment Industry [printed text] / Zeng Yan, Author ; Chanchai Bunchapattanasakda, Associated Name ; Ousanee Sawagvudcharee, Associated Name . - [S.l.] : Bangkok: Shinawatra University, 2019 . - x, 154 p. : Tables, ill. ; 30 cm.
500.00 Baht.
SIU THE: SOM-PhD-MS-2019-01
Thesis. [PhD. [Philosophy in Management Science].-- Shinawatra University, 2019
Languages : English (eng)

Descriptors:	[LCSH]Export marketing [LCSH]Garment cutting [LCSH]Textile Industry
Keywords:	Competitiveness, Export-oriented garment industry, Data-driven innovation, Garment global value chain
Abstract:	The purpose of this study was to explore how Thailand exported-oriented garment industry can conduct data-driven innovation to overcome competitiveness challenges in global garment value chain. This study examines competitiveness challenges of Thai export-oriented garment industry by testing the research hypotheses and develops data-driven innovation framework as a sustainable competitive advantage by using constructivist grounded theory. The bases of this study lie in understanding what kind of competitiveness challenges Tai exported-oriented garment industry faces in terms of resource-based, dynamic capabilities and market-based factors. In this study, a purposeful sample of 211 garment sectors was drawn from total 359. Study participants were garment managers, in garment industry over 5 years. The data collection includes questionnaire investigation for quantitative factor analysis method and intensive interview with garment senior managers for qualitative analysis approach. Specifically, this study provides empirical evidence both quantitative and qualitative on the specific channels and mechanisms through how data-driven innovation process is facilitated within current garment sectors. This study found that there was significant relationship between competitiveness and resource-based factors; dynamic capabilities factors and market-based factors in the export-oriented garment industry (i.e., challenges relates to productivity, lead-time, collaboration, opportunity identification, quick response and risk identification factors). Additionally, this study also found that data-driven innovation supported to Thai export-oriented garment industry overcomes competitiveness challenges.
Curricular :	BBA/MBA/PhDM
Record link:	http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=27923