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Article
Publication date: 5 March 2020

Mingyao Hu and Sohail S. Chaudhry

Enhancing consumer engagement in e-commerce live streaming is critical for e-commerce operators to build relationships and create consumer loyalty. Using the…

15719

Abstract

Purpose

Enhancing consumer engagement in e-commerce live streaming is critical for e-commerce operators to build relationships and create consumer loyalty. Using the stimulus–organism–response model and theories from relationship marketing, the authors develop and test an integrative conceptual framework that combines various relational bonds, affective commitment, and consumer engagement.

Design/methodology/approach

Using 327 valid responses from consumers of Taobao Live, the authors employed the software Mplus7.0 to evaluate the measurement model and the structural model.

Findings

The results empirically demonstrate that social and structural bonds positively affect consumer engagement directly and indirectly via affective commitment, while financial bonds have only an indirect effect via affective commitment on consumer engagement.

Practical implications

The findings provide useful insights for e-commerce operators, who should invest in establishing relational bonds and stimulating affective commitment to improve consumer engagement.

Originality/value

This study adds to e-commerce research by being one of the first empirical studies on e-commerce live streaming, extends the marketing literature by integrating different relational bonds as antecedents of consumer engagement from the relational perspective, and enriches the affective commitment literature by distinguishing commitment to the online marketplace from commitment to the broadcaster.

Details

Internet Research, vol. 30 no. 3
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 4 April 2016

Mingyao Hu, Fang Huang, Hanping Hou, Yong Chen and Larissa Bulysheva

Fast-growing online retail market provides convenience for customers. But it makes competition among online retailers fiercer as well. Online retailers need to improve online…

5978

Abstract

Purpose

Fast-growing online retail market provides convenience for customers. But it makes competition among online retailers fiercer as well. Online retailers need to improve online shoppers’ satisfaction level for the purpose of keeping their loyalty. As an important component in online retail market, logistics service affects online shoppers’ satisfaction level. By applying expectation confirmation theory, the purpose of this paper is to explore how customized logistics services (CLS) influences online shoppers’ satisfaction level and whether the relationship between them is moderated by product type.

Design/methodology/approach

Data were collected from Tmall.com, the biggest online retail market in China. Exploratory factor analysis and two-way ANOVA were conducted to analyze the data.

Findings

The results indicate that CLS positively impacts online shoppers’ satisfaction level. But product type does not have moderate effect on the relationship between CLS and online shoppers’ satisfaction level.

Practical implications

Online retail market grows fast. As the number of retailers keeps increasing, competition in this market becomes fiercer. In order to attract new shoppers and increase shoppers’ loyalty, online retailers must make shopper satisfied with their purchase. CLS positively impacts online shoppers’ satisfaction level, online retailers should offer shoppers CLS.

Originality/value

This study examines how customized logistics influences customer satisfaction, and extends literatures related to online customer satisfaction by integrating the factor CLS and opens the way for other studies related to logistics service customization. Furthermore, this study discusses how IoT will improve online retailers’ abilities in providing CLS.

Details

Internet Research, vol. 26 no. 2
Type: Research Article
ISSN: 1066-2243

Keywords

Available. Open Access. Open Access
Article
Publication date: 9 October 2023

Mingyao Sun and Tianhua Zhang

A real-time production scheduling method for semiconductor back-end manufacturing process becomes increasingly important in industry 4.0. Semiconductor back-end manufacturing…

614

Abstract

Purpose

A real-time production scheduling method for semiconductor back-end manufacturing process becomes increasingly important in industry 4.0. Semiconductor back-end manufacturing process is always accompanied by order splitting and merging; besides, in each stage of the process, there are always multiple machine groups that have different production capabilities and capacities. This paper studies a multi-agent based scheduling architecture for the radio frequency identification (RFID)-enabled semiconductor back-end shopfloor, which integrates not only manufacturing resources but also human factors.

Design/methodology/approach

The architecture includes a task management (TM) agent, a staff instruction (SI) agent, a task scheduling (TS) agent, an information management center (IMC), machine group (MG) agent and a production monitoring (PM) agent. Then, based on the architecture, the authors developed a scheduling method consisting of capability & capacity planning and machine configuration modules in the TS agent.

Findings

The authors used greedy policy to assign each order to the appropriate machine groups based on the real-time utilization ration of each MG in the capability & capacity (C&C) planning module, and used a partial swarm optimization (PSO) algorithm to schedule each splitting job to the identified machine based on the C&C planning results. At last, we conducted a case study to demonstrate the proposed multi-agent based real-time production scheduling models and methods.

Originality/value

This paper proposes a multi-agent based real-time scheduling framework for semiconductor back-end industry. A C&C planning and a machine configuration algorithm are developed, respectively. The paper provides a feasible solution for semiconductor back-end manufacturing process to realize real-time scheduling.

Details

IIMBG Journal of Sustainable Business and Innovation, vol. 1 no. 1
Type: Research Article
ISSN: 2976-8500

Keywords

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Article
Publication date: 5 December 2024

Dangshu Wang, Mingyao Liu, Ruchuan Zhang, Jiahao Yang and Jing Wang

The purpose of this study is to solve the problem of longer dead-time in the rear bridge leg switches and lower efficiency in the Four-Switch Buck-Boost LLC Resonant Converter.

11

Abstract

Purpose

The purpose of this study is to solve the problem of longer dead-time in the rear bridge leg switches and lower efficiency in the Four-Switch Buck-Boost LLC Resonant Converter.

Design/methodology/approach

The paper adopts time-domain analysis to derive the time-domain expression for optimal dead time, analyzing the conditions for achieving soft switching of the transistors. It further explores the relationship between the dead time of the bridge arm switching transistors and the input/output of the converter under different operating conditions. Specifically, the dead time of the upper bridge arm transistors increases with the converter input voltage and decreases with the output current. In contrast, the dead time of the lower bridge arm transistors is independent of the converter output current and decreases with increasing converter input voltage.

Findings

By simulating and constructing a 500 W experimental prototype, experimental results indicate that designing the dead time of the switch according to the optimal dead time proposed in this paper significantly improves efficiency when the converter operates from heavy load to full load. When the transformer takes minimum input, maximum input and intermediate bus voltage inputs respectively, its peak efficiency is increased by 0.6%, 1.7% and 1.1%, respectively, compared to the traditional four-switch Buck–Boost LLC resonant converter.

Originality/value

Experimental validation confirms the correctness of the optimal dead time design and analyzes the impact of different operating conditions of the converter on the dead time. This is of significant importance for the rational design of switch dead times and the enhancement of converter efficiency.

Details

Circuit World, vol. 51 no. 1
Type: Research Article
ISSN: 0305-6120

Keywords

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