Yu Zhang, Yafen Yuan and Jiafu Su
This study explores the factors that characterize the logistics service quality (LSQ) of cross-border e-commerce and identifies the different relationships between these factors…
Abstract
Purpose
This study explores the factors that characterize the logistics service quality (LSQ) of cross-border e-commerce and identifies the different relationships between these factors with respect to customer satisfaction.
Design/methodology/approach
The study applied a two-stage mixed-methods design. The first stage (Stage 1) was a qualitative study of 3,000 reviews from the Amazon China e-commerce platform. The second stage (Stage 2) included a quantitative study that analyzed survey data from 590 Chinese cross-border e-commerce customers using the Kano model.
Findings
Stage 1 involved developing a conceptual framework for the LSQ of cross-border e-commerce, including six dimensions: timeliness, safety, reliability, economy, personnel contact quality and information quality. In Stage 2, the study found that only reliability and personnel contact quality indicators are linearly related to customer satisfaction. Timeliness and the safety of packaging greatly contribute to customer satisfaction, but do not cause dissatisfaction when unfulfilled. Economics and information quality indicators, and the safety of goods, are basic requirements that tend to provoke customer dissatisfaction when unmet, but do not increase customer satisfaction when they are met.
Originality/value
This study is one of the first to construct a conceptual model of LSQ that applies to cross-border e-commerce and to identify the instrumental nature of various LSQ attributes and their impact on improved customer satisfaction.
Details
Keywords
The economy of Fujian has caused tremendous development momentum and increased the economic exchanges between Taiwan and the mainland since the establishment of the free trade…
Abstract
The economy of Fujian has caused tremendous development momentum and increased the economic exchanges between Taiwan and the mainland since the establishment of the free trade area of Fujian province. However, the contradiction between ecological protection and economic development should be considered on the basis of solving the problem of building trade zones. Performing regional trade zone planning from the ecological and economic perspectives is difficult, not only should the ecological and economic perspectives meet and emphasize the ecological and economical levels of interaction, but also achieve the optimization of eco-economic development potential of the free trade zone. In view of the above problems, according to the economy and resource allocation base of the new trade zone in Fujian Province, the space planning strategy development was carried out in this paper. In the overall layout of the new trade zone, the chain service area, the high-end service area, and the city near the port are taken as a major planning axis. North and South regions are gathering areas of shipping, logistics and new industries, developing on three partitions of function, improvement and advance around Haijing Road. The landscape is divided into Cai Jianwei mountain and Jing Kouyan mountain as the basis, and the third South China Sea Road and Haixin road form six corridors between mountain and sea. With the foundation of international cruise port development planning, the ease of east harbors should be promoted to north, and the development rhythm od airport planning areas should be strictly controlled, which can prepare for the later spatial release of the relocation of the airport from city planning areas. The main line of the important traffic node is reserved to improve the stock space, and the industrial neighborhood area near the central fishing port of Fujian and Taiwan is reserved, which can provide the regional space preparation for the planning of the new trade zone.
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Keywords
The purpose of this research is to examine generative artificial intelligence (AI) user continuance intention based on the stimulus-organism-response model.
Abstract
Purpose
The purpose of this research is to examine generative artificial intelligence (AI) user continuance intention based on the stimulus-organism-response model.
Design/methodology/approach
We adopted a mixed method of structural equation modeling and fuzzy-set qualitative comparative analysis to conduct data analysis.
Findings
The results found that generative AI content quality (perceived personalization, perceived accuracy and perceived credibility) and system quality (perceived interactivity, perceived anthropomorphism and perceived intelligence) affect sense of empowerment and satisfaction, both of which further determine continuance intention.
Originality/value
Extant research has identified the effect of flow, trust and parasocial interaction on generative AI user continuance, but it has seldom disclosed the internal decisional process of generative AI user continuance intention. This research tries to fill this gap, and the results enrich the extant research on generative AI user continuance.