Development of a Partial Shipping Fees Pricing Model to Influence Consumers' Purchase Intention under the COVID-19 Pandemic

被引:5
作者
Tsai, Cheng-An [1 ]
Chang, Che-Wei [2 ,3 ]
机构
[1] Shih Chien Univ, Dept Business Adm, Taipei 104336, Taiwan
[2] Natl Taiwan Univ Sport, Dept Recreat, Taichung 404401, Taiwan
[3] Natl Taiwan Univ Sport, Grad Inst Recreat Sport Management, Taichung 404401, Taiwan
关键词
COVID-19; socio-economic factors; e-commerce platform; partial pay; shipping fees; DECISION-SUPPORT-SYSTEM; B2C E-COMMERCE; EOQ MODEL; COST;
D O I
10.3390/en15051846
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The COVID-19 pandemic is accelerating the rapid development of the digital economy. Previous studies have indicated that shipping fees are essential in delivery strategies and significantly impact order generation rates. According to market research, 68% of consumers would increase their orders to reach the minimum threshold for free delivery. However, previous studies have focused on the problem of setting free shipping thresholds, so the existing model of the e-commerce platform only allows consumers to choose whether to pay the total shipping fees or conditional free delivery with a free shipping threshold. A lack of literature concerns the partial pay for shipping fees before reaching the free shipping threshold. Therefore, this study proposes a new pricing model for shipping strategy that allows consumers to pay partial shipping fees. This model can increase the flexibility of consumer choice, thus increasing consumers' willingness to purchase, which in turn increases the revenue of the e-commerce platform. The model was validated for 9-month on the e-commerce platform of a Smart-Integration company. The results showed that after introducing the new pricing model, the e-commerce platform's sales grew by about 9%. This proposed model's theoretical extension and empirical results can remedy the research gap in the extant literature.
引用
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页数:16
相关论文
共 35 条
[1]   An Adaptive Decision Support System for Last Mile Logistics in E-Commerce: A Study on Online Grocery Shopping [J].
Al-nawayseh, Mohammad K. ;
Alnabhan, Mohammad M. ;
Al-Debei, Mutaz M. ;
Balachandran, Wamadeva .
INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY, 2013, 5 (01) :40-65
[2]   A sustainable EOQ model: Theoretical formulation and applications [J].
Battini, Dania ;
Persona, Alessandro ;
Sgarbossa, Fabio .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2014, 149 :145-153
[3]   Online retailers' promotional pricing, free-shipping threshold, and inventory decisions: A simulation-based analysis [J].
Becerril-Arreola, Rafael ;
Leng, Mingming ;
Parlar, Mahmut .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2013, 230 (02) :272-283
[4]   ON EOQ COST MODELS WITH ARBITRARY PURCHASE AND TRANSPORTATION COSTS [J].
Birbil, S. I. ;
Bulbul, K. ;
Frenk, J. B. G. ;
Mulder, H. M. .
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2015, 11 (04) :1211-1245
[5]  
Cachon GerardP., 2018, FREE SHIPPING IS NOT
[6]  
Chandra Y.U., 2019, INT J ADV SCI ENG IN, V9, P1171, DOI [10.18517/ijaseit.9.4.6505, DOI 10.18517/IJASEIT.9.4.6505]
[7]   An EOQ model with stepwise ordering cost and the finite planning horizon under carbon cap-and-trade regulations [J].
Chen, Tzu-Chia ;
Yu, Shu-Yan .
DECISION SCIENCE LETTERS, 2021, 10 (03) :337-350
[8]  
Daryanto Yosef, 2021, International Journal of Manufacturing Technology and Management, V35, P1, DOI 10.1504/IJMTM.2021.114697
[9]  
Daryanto Y., 2021, Uncertain Supply Chain Manage, V9, P307, DOI 10.5267/j.uscm.2021.3.002
[10]   An EOQ model with backlogging [J].
De, Sujit Kumar ;
Sana, Shib Sankar .
INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 2016, 11 (03) :143-154