TY - JOUR
T1 - The impact of advanced manufacturing technology, sensing and analytics capabilities, and planning comprehensiveness on sustained competitive advantage
T2 - The moderating role of environmental uncertainty
AU - Wong, David T.W.
AU - Ngai, Eric W.T.
N1 - Funding Information:
The authors are grateful for the constructive comments of the review panel on the earlier versions of this paper. The first author was supported in part by The Hong Kong Polytechnic University under grant number P0035708 . The second author was supported in part by The Hong Kong Polytechnic University under grant number CD4T .
Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/11
Y1 - 2023/11
N2 - Studies have shown that digital manufacturing is a key factor in sustained competitive advantage (SCA). However, few studies have investigated how SCA is affected by advanced manufacturing technology (AMT), analytics capability (AC), sensing capability (SC), and planning comprehensiveness (PC) in an uncertain environment. We developed a conceptual model based on dynamic capabilities theory and the resource-based view to empirically investigate the effects of AMT, AC, SC, and PC on SCA. In addition, our research model tested whether environmental uncertainty moderated the effects of these factors using data from 200 validated surveys completed by senior managers of firms in the clothing and textile industry in China. Our results revealed that all four factors positively influenced SCA, and that environmental uncertainty positively moderated their impact, supporting our research model. We discuss the theoretical and practical implications of these findings.
AB - Studies have shown that digital manufacturing is a key factor in sustained competitive advantage (SCA). However, few studies have investigated how SCA is affected by advanced manufacturing technology (AMT), analytics capability (AC), sensing capability (SC), and planning comprehensiveness (PC) in an uncertain environment. We developed a conceptual model based on dynamic capabilities theory and the resource-based view to empirically investigate the effects of AMT, AC, SC, and PC on SCA. In addition, our research model tested whether environmental uncertainty moderated the effects of these factors using data from 200 validated surveys completed by senior managers of firms in the clothing and textile industry in China. Our results revealed that all four factors positively influenced SCA, and that environmental uncertainty positively moderated their impact, supporting our research model. We discuss the theoretical and practical implications of these findings.
KW - Advanced manufacturing technology
KW - Analytics capability
KW - Digital manufacturing
KW - Environmental uncertainty
KW - Planning comprehensiveness
KW - Sensing capability
KW - Sustained competitive advantage
KW - Textile and apparel industry
UR - http://www.scopus.com/inward/record.url?scp=85168797061&partnerID=8YFLogxK
U2 - 10.1016/j.ijpe.2023.109007
DO - 10.1016/j.ijpe.2023.109007
M3 - Journal article
AN - SCOPUS:85168797061
SN - 0925-5273
VL - 265
JO - International Journal of Production Economics
JF - International Journal of Production Economics
M1 - 109007
ER -