Hui Sun

Dr. Hui Sun

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in International Journal of Production Economics
Verified
Journal Article
Closed access
FJFu Jia
Fu Jia
CBConstantin Blome
Constantin Blome
HSHui Sun
Hui Sun
YYYang Yang
Yang Yang
BZBangdong Zhi
Bangdong Zhi

1 December 2014 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Andrea AppolloniAndrea Appolloni
Andrea Appolloni
HSHui Sun
Hui Sun
FJFu Jia
Fu Jia
XLXiaomei Li
Xiaomei Li

1 January 2018 in Journal of Cleaner Production
Verified
Journal Article
Closed access
XWXiaofeng Wang
Xiaofeng Wang
YZYiting Zhu
Yiting Zhu
HSHui Sun
Hui Sun
FJFu Jia
Fu Jia

14 May 2022 in European Journal of Operational Research
Verified
Journal Article
Open access
WLWei Li
Wei Li
HSHui Sun
Hui Sun
HDHao Dong
Hao Dong
YGYuqin Gan
Yuqin Gan
LKLenny Koh
Lenny Koh

1 July 2016 in Journal of Cleaner Production
Verified
Journal Article
Closed access
FJFu Jia
Fu Jia
HSHui Sun
Hui Sun
LKLenny Koh
Lenny Koh

2 June 2020 in International Journal of Operations & Production Management
Verified
Journal Article
Closed access
FJFu Jia
Fu Jia
DLDun Li
Dun Li
GLGuoquan Liu
Guoquan Liu
HSHui Sun
Hui Sun
JHJorge E. Hernandez
Jorge E. Hernandez
Purpose: This study explores how sharing platforms achieve platform loyalty through various operation management strategies.Design/methodology/approach: A multiple case study method has been conducted in two Chinese sharing economy industries: ride- and bike-sharing. Data were collected through 30 semi-structured interviews with managers from four platform companies (DiDi, Uber China, ofo and Mobike). Individual case studies were developed from the triangulation of all existing data. Concurrent with the development of these individual case studies was a cross-case analysis. Emerging patterns have been identified and compared to previous findings in the literature to build upon and modify the existing knowledge base and to formulate a series of propositions.Findings: Platform asset characteristics and mergers and acquisitions affect supply network readiness and operational capacity, respectively, and this effect would consequently contribute to achieving platform loyalty through user satisfaction. Moreover, externality, as a moderator, may influence the strength of the relationship between satisfaction and platform loyalty.Practical implications: The proposed theoretical model provides an overarching framework for sharing platform companies to design and operate their businesses while carefully examining the situations, contexts and actions of users and other stakeholders and choosing an appropriate strategic mechanism to drive platform growth.Originality/value: This study is one of the first to empirically explain how firms in a sharing economy sector could gain platform loyalty by adopting an expectation–confirmation theory perspective.