Chen(Peter) Nian

Mr. Chen(Peter) Nian

College of Hospitality and Tourism Management, Sejong University, Seoul , Korea
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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14 March 2020 in Sustainability
Verified
Journal Article
Open access
PDF file
WLWenlong Liu
Wenlong Liu
RJRongrong Ji
Rongrong Ji
Chen(Peter) NianChen(Peter) Nian
Chen(Peter) Nian
Kisang RyuKisang Ryu
Kisang Ryu
Online consumer complaints are closely related to business reputation and elicit managers’ persistent efforts. However, service providers in the sharing economy (SE) lack the skills to communicate with consumers because most are informal or nonprofessional property owners. This research aims to examine the relationship between service providers’ responses and prospective consumers’ perceived helpfulness in the SE by using bed and breakfasts (B&B) as the sample. Response length and voice are adopted to measure the content quality of B&B’s response to an online complaint. Three types of voices (defensive, formalistic, and accommodative) are identified by analyzing service providers’ responses to negative reviews, among which the accommodative voice with empathic statements is the most effective. An inverted-U curve relationship between response length and helpfulness votes is verified based on cognitive load theory. Moreover, interactive effects between response length, review length, and images are also examined. This study suggests the investigation of online reviews from comprehensive perspectives, as well as the adoption of personalized strategies by SE practitioners to respond to consumer complaints.

19 September 2023 in Preprints.org
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Preprint
Open access
PDF file
FLFeng Lin
Feng Lin
Kisang RyuKisang Ryu
Kisang Ryu
YKYuxia Kong
Yuxia Kong
Chen(Peter) NianChen(Peter) Nian
Chen(Peter) Nian
This study examines how the design of museum archaeological boxes and the overall museum image affect behavioral intention. This research used partial least squares-structural equation modeling, indicating a relationship between aesthetics, symbolism, affective museum image, perceived value, and behavioral intention. This study found that symbolism predicted behavioral intention. Moreover, aesthetics, symbolism, and affective museum image affected perceived value, in turn triggering behavioral intention. This indicates theoretical and practical implications for museum products.