Key Influencing Factors and Enhancement Strategies of Online Popularity in Catering Industry during Digital 
Transformation— An Empirical Study Based on Catering Industry in Chengdu

Yang Yun; Zhang Tinghai

doi:10.18686/fm.v10i4.14103

Key Influencing Factors and Enhancement Strategies of Online Popularity in Catering Industry during Digital Transformation— An Empirical Study Based on Catering Industry in Chengdu

Yang Yun, Zhang Tinghai

Abstract

Against the backdrop of digital transformation and post-pandemic normalcy, the impact of online operation efficiency on regional
economic development has become increasingly prominent. Based on the Stimulus-Organism-Response (SOR) theory, this paper systematically analyzes the key influencing factors of online popularity in Chengdu’s catering industry. The study finds that consumer overall
ratings, the number of branch stores, the quantity of platform picture descriptions, and store rankings have a significant positive impact on
online popularity. Mechanism tests show that ratings form positive stimuli through consumers’ psychological cognition, while the number of
branches and picture descriptions strengthen platform exposure effects through brand trust and information transparency. The research further
proposes enhancement strategies such as packaging optimization, ranking management, and detailed page design. This study expands the theoretical framework of online catering services and provides a quantitative decision-making basis for regional catering digital transformation.

Keywords

Catering Digitization; SOR Theory; Platform Operation

Full Text:

PDF

Included Database

References

[1]Cao Shuyi, Zhang He, He Jing, et al. Spatial Characteristics and Layout of Small Commercial Facilities under the Influence of Online Supply and Demand: A Case Study of Catering Facilities in Beijing [J]. South Architecture, 2024, (03): 1-10.

[2] Zhai Qing, Gao Yujie, Wei Zongcai. The Spatial Distribution Pattern of Online-Offline Catering in Nanjing: Taking Dianping.

com and Ele.me as Examples [J]. Economic Geography, 2020, 40(12): 119-127.

[3]Li Xiaolu, Yuan Hui. Evaluation of Brand Association Based on Online Reviews: Taking Regional Catering Brands as Examples [J].

Journal of Liaoning University (Philosophy and Social Sciences Edition), 2020, 48(02): 81-91.

[4]Hu Longyin, Jin Cheng. Research on the Spatial Distribution Characteristics and Convenience of Urban Catering Industry Based on

POI Data: A Case Study of Nanjing, Jiangsu Province [J]. Geography and Geo-Information Science, 2024, 40(06): 78-86.

[5]Lai Shipan, Xiao Dawei. Digitalization Drives Externalization: The Change Logic of the Safety Supervision Mode of Catering Services [J]. Chinese Public Administration, 2024, 40(07): 143-154.

[6]Gu Fangjie, Zhang Wenfeng. Exploration on the Digital Transformation Strategy of Enterprises from the Perspective of Value

Chain: Taking Xibei Catering Group as an Example [J]. China Soft Science, 2020, (11): 134-142.

[7]Liu Hanqiu, Yang Linyan. The Impact of Return Policy Leniency on Consumers’ Online Shopping Willingness: An Analysis of

Moderated Dual-Mediation Effects Based on the SOR Model [J]. Western Forum, 2024, 34(01): 111-124.

[8]Hou Ke, Li Xinhao, Ruan Tianshun. How Can Latecomer Enterprises Achieve Disruptive Innovation under the Uncertainty of Innovation Ecosystems: The Mediating Role of Dynamic Capabilities Based on the SOR Model [J]. Science & Technology Progress and Policy,

2024, 41(08): 44-54.

[9]Li Liru, Luo Biao, Sun Ying, Zhu Fenfen. Research on the Influence Mechanism of Green Advertising on Consumers’ Intention to Purchase Energy-Saving Products: Based on the SOR Model [J]. Journal of University of Science and Technology of China, 2023, 53(08): 14-24+71.

DOI: http://dx.doi.org/10.18686/fm.v10i4.14103

Refbacks

There are currently no refbacks.