Pengkun Wu

Dr. Pengkun Wu

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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1 May 2020 in Decision Support Systems
Verified
Journal Article
Closed access
YWYuanyuan Wu
Yuanyuan Wu
ENEric W.T. Ngai
Eric W.T. Ngai
PWPengkun Wu
Pengkun Wu
CWChong Wu
Chong Wu

19 June 2019 in International Journal of Production Research
Verified
Journal Article
Closed access
YHYi He
Yi He
QXQingyun Xu
Qingyun Xu
PWPengkun Wu
Pengkun Wu
Online consumers being allowed to return unsatisfied products to any store prevails in the omnichannel retailing context. Retailers increasingly implement a store return option to offer consumers a seamless shopping experience. This paper develops a newsvendor model of a retailer selling its products to consumers through both online and offline channels. Consumers can return unsatisfied products to the retailer for a full refund, and the returned items can be resold as refurbished products in the circular economy era. Utilising the game theory, the retailer’s optimal ordering and pricing decisions are obtained under the benchmark scenario and omnichannel strategy. From the analytical results and numerical analysis, we examine the effects of implementing a store return option on the retailer under omnichannel retailing. The main results show that after implementing store return, (i) the optimal price of the new product remains unchanged, while the price of refurbished items may decrease in a certain condition; (ii) the optimal order quantity of the online channel increases, while that of the store decreases; (iii) in most conditions, store return strategy can achieve a win-win outcome. Specifically, consumers can enjoy more services without paying extra costs and retailer makes higher profit by implementing this strategy.

1 September 2016 in Journal of the Operational Research Society
Verified
Journal Article
Closed access
YHYi He
Yi He
QXQingyun Xu
Qingyun Xu
BXBing Xu
Bing Xu
PWPengkun Wu
Pengkun Wu

29 March 2022 in Internet Research
Verified
Journal Article
Closed access
YWYuanyuan Wu
Yuanyuan Wu
ENEric W.T. Ngai
Eric W.T. Ngai
PWPengkun Wu
Pengkun Wu
Chong WuChong Wu
Chong Wu
Purpose: The extensive distribution of fake news on the internet (FNI) has significantly affected many lives. Although numerous studies have recently been conducted on this topic, few have helped us to systematically understand the antecedents and consequences of FNI. This study contributes to the understanding of FNI and guides future research.Design/methodology/approach: Drawing on the input–process–output framework, this study reviews 202 relevant articles to examine the extent to which the antecedents and consequences of FNI have been investigated. It proposes a conceptual framework and poses future research questions.Findings: First, it examines the “what”, “why”, “who”, “when”, “where” and “how” of creating FNI. Second, it analyses the spread features of FNI and the factors that affect the spread of FNI. Third, it investigates the consequences of FNI in the political, social, scientific, health, business, media and journalism fields.Originality/value: The extant reviews on FNI mainly focus on the interventions or detection of FNI, and a few analyse the antecedents and consequences of FNI in specific fields. This study helps readers to synthetically understand the antecedents and consequences of FNI in all fields. This study is among the first to summarise the conceptual framework for FNI research, including the basic relevant theoretical foundations, research methodologies and public datasets.

1 June 2018 in Decision Support Systems
Verified
Journal Article
Closed access
PWPengkun Wu
Pengkun Wu
ENEric W.T. Ngai
Eric W.T. Ngai
YWYuanyuan Wu
Yuanyuan Wu

9 May 2023 in Journal of Retailing and Consumer Services
Verified
Journal Article
Closed access
LCLiuyan Chen
Liuyan Chen
PWPengkun Wu
Pengkun Wu
YDYudan Dou
Yudan Dou
YWYuanyuan Wu
Yuanyuan Wu