Dong S., Yang L., Shao X., Zhong Y., Li Y., Qiao P. (2021). How can channel information strategy promote sales by combining ICT and blockchain? Evidence from the agricultural sector. Journal of Cleaner Production, 25/05/2021, vol. 299, p. 1-12.
https://doi.org/10.1016/j.jclepro.2021.126857
https://doi.org/10.1016/j.jclepro.2021.126857
Titre : | How can channel information strategy promote sales by combining ICT and blockchain? Evidence from the agricultural sector (2021) |
Auteurs : | S. Dong ; L. Yang ; X. Shao ; Y. Zhong ; Y. Li ; P. Qiao |
Type de document : | Article |
Dans : | Journal of Cleaner Production (vol. 299, May 2021) |
Article en page(s) : | p. 1-12 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.4 - Production Agricole. Système de ProductionThésaurus IAMM AGRICULTURE NUMERIQUE ; TECHNOLOGIE DE L'INFORMATION ET DE LA COMMUNICATION ; CHAINE DE BLOCS ; COMPORTEMENT DU CONSOMMATEUR ; FIXATION DES PRIX |
Résumé : | The broad development of Internet has enabled the information and communications technology (ICT) and the blockchain technology (BT) to transform the traditional operational practices and customer behavior. In the context of the agricultural sector, it has prompted agricultural retailers to explore various online resources and communication channels. However, product information and physical experience in the brick-and-mortar stores influence the Internet pricing strategy and customers online purchasing behaviors. Considering this cross-channel effect and sustainable digital agricultural (e-agriculture) development, this study constructed a theoretical analysis model to investigate the impact of the ICT- and BT-driven agricultural cross-channel information strategy on the retailer pricing strategy and customer behavior. The results indicate that, although ICT and BT tools provide agricultural retailers and customers with more information, a cross-channel information strategy does not continuously increase retailers sales performance. Retailers tend to leverage this strategy when the devaluation coefficient (customers quality perception for a product) is low. This channel information strategy is influenced by the offline channel cost and the devaluation coefficient in online trading. These findings on the devaluation effect can guide retailers in their channel information and pricing strategies and marketing-related decisions. |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://doi.org/10.1016/j.jclepro.2021.126857 |