Pengyi Shen, Demin Wan and Jinxiong Li
In recent years, the application of artificial intelligence and digital technology has increasingly become a priority for online retailers. It is crucial to choose a way to make…
Abstract
Purpose
In recent years, the application of artificial intelligence and digital technology has increasingly become a priority for online retailers. It is crucial to choose a way to make use of human–computer interaction (HCI) design to exert the positive influence of intelligent technology on consumer welfare. Despite the increasing use of HCI design in online retail context, there remain limitations in their effect of consumer well-being improvement. Although there is extensive literature in the field of consumer well-being improvement, few studies have empirically examined how HCI design drives the improvement of consumer well-being in the online retail context. Therefor, this study aims to deeply and systematically analyze the psychological mechanism between HCI and consumer well-being in the online retail environment.
Design/methodology/approach
The empirical analysis is based on data collection of 476 samples of online shoppers through the online survey method. From the perspective of autonomy, this study deeply analyzes the influence mechanism of different dimensions of HCI perception on consumer well-being.
Findings
The results indicated that autonomy plays a positive intermediary role in the impact of perceived connectivity, perceived personalization, perceived control and perceived responsiveness on the eudaimonia and hedonic enjoyment. Also, it revealed that psychological resistance negatively regulates the impact of perceived connectivity, perceived personalization and perceived control on autonomy, while experience purchase positively regulates the impact of autonomy on hedonic enjoyment.
Originality/value
This paper expands the research situation of consumer well-being by making integration of the dual structure of subjective well-being and psychological well-being to define the psychological mechanism and boundary conditions of the impact of HCI perception on consumer well-being. The main contribution of this study is to provide enlightenment for online retail enterprises to improve HCI design and help consumers enhance long-term well-being.
Details
Keywords
Mingkai Yue, Meie Li, Ning An, Kun Yang, Jian Wang and Jinxiong Zhou
Selective electron beam melting (SEBM) is one of the popular powder-bed additive manufacturing (AM) technologies. The purpose of this paper is to develop a simulation strategy for…
Abstract
Purpose
Selective electron beam melting (SEBM) is one of the popular powder-bed additive manufacturing (AM) technologies. The purpose of this paper is to develop a simulation strategy for SEBM process to get data which are vital for realistic failure prediction and process parameters control for real complex components.
Design/methodology/approach
Focusing on the SEBM process of tantalum, this paper presents a three-dimensional thermo-mechanical modeling strategy based on ABAQUS and its subroutines. The simulation strategy used in this paper is developed for SEBM process of pure tantalum but could be extended to other AM fabrication technologies and other metals without difficulties.
Findings
The simulation of multi-track multi-layer SEBM process of tantalum was carried out to predict the temperature field, the molten pool evolution and the residual stress distribution. The key information such as inter-track molten pool overlapping ratio and inter-layer refusion state can be extracted from the obtained molten pool morphologies, which are vital for realistic failure prediction and process parameters control for real components. The authors finally demonstrate the capability of the strategy used by simulating a 2 mm × 2 mm × 10 mm lattice structure with total 200 layers.
Originality/value
The simulation of multi-track multi-layer SEBM process of tantalum was carried out. The key information such as inter-track molten pool overlapping ratio and inter-layer refusion state can be extracted. The authors finally demonstrate the capability of the strategy used by simulating a lattice structure. Not only temperature distribution but also stress evolution are captured. Our simulation strategy is developed for the SEBM process of pure tantalum, but it could be extended to other AM fabrication technologies and other metals without difficulties.