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Article
Publication date: 28 November 2022

Teng Teng, Huifang Li, Ji Wu, Yang Zhou and Liangqing Zhang

In the sharing economy (SE), consumer misbehaviour is an operational challenge for platforms due to its negative outcomes. The psychological mechanism behind consumer misbehaviour…

Abstract

Purpose

In the sharing economy (SE), consumer misbehaviour is an operational challenge for platforms due to its negative outcomes. The psychological mechanism behind consumer misbehaviour remains unclear. As such, this research aims to investigate how consumers' sharing motivations affect their misbehaviours in the SE.

Design/methodology/approach

Drawing on motivated cognition theory, the authors establish a research model explaining the effects of consumers' sharing motivations on their cost–benefit analysis of misbehaviour and misbehaviour intention. A scenario-based online experiment is used to test the research hypotheses.

Findings

The results indicate that consumers' extrinsic and intrinsic motivations to share have different impacts on their perceived benefits and costs of potential misbehaviour, thereby influencing their misbehaviour intention.

Originality/value

This study reveals consumers' psychological mechanism underlying their misbehaviours in the SE and provides operational implications for platforms to help them effectively reduce consumer misbehaviours through preventive measures.

Details

Industrial Management & Data Systems, vol. 123 no. 2
Type: Research Article
ISSN: 0263-5577

Keywords

Open Access
Article
Publication date: 16 May 2024

Huifang Li and Xinsheng Pang

The forest products processing industry is a key component of the forestry economy, and the level of companies’ operating efficiency directly affects its profitability and market…

Abstract

Purpose

The forest products processing industry is a key component of the forestry economy, and the level of companies’ operating efficiency directly affects its profitability and market competitiveness.

Design/methodology/approach

In order to deeply study the operation status of forest product processing industry, this paper takes the panel data of 70 listed forest product processing companies from 2015 to 2022 as the basis, and adopts BBC, CCR and DEA-Malmquist models to measure the operating efficiency of these companies. Meanwhile, the Tobit model is applied to deeply explore the impact of innovation input on operating efficiency.

Findings

The results of the paper show that: (1) the overall operating efficiency of listed forest product processing companies performs well, and the improvement of technology level promotes the growth of total factor productivity; (2) innovation input plays a significant positive role in listed forest product processing companies, which positively affects the operating efficiency.

Practical implications

A scientific and reasonable evaluation of the operating efficiency of listed forest product companies is of great practical significance to the development of the forestry industry The study of forest product processing industry is of key significance to the social economy.

Originality/value

This paper explores the improvement of production and operation efficiency of forest products processing enterprises for the purpose of in-depth analysis of the current situation of China's forest products processing enterprises, which is conducive to improving the innovation and operation efficiency of China's forest products processing enterprises, and realizing the high-quality development of China's forest products processing industry.

Details

Forestry Economics Review, vol. 6 no. 1
Type: Research Article
ISSN: 2631-3030

Keywords

Article
Publication date: 24 September 2019

Chun Kwong Chan, Yulin Fang and Huifang Li

The purpose of this paper is to develop a nuanced understanding of premium customers’ intent to adopt an interactive electronic channel (IEC) and the moderating role of social…

Abstract

Purpose

The purpose of this paper is to develop a nuanced understanding of premium customers’ intent to adopt an interactive electronic channel (IEC) and the moderating role of social capital on perceived relative advantage (RA) in adoption.

Design/methodology/approach

Study findings are based on a field survey that investigates the launching of an IEC by a leading international bank in Hong Kong.

Findings

Among social capital dimensions, cognitive capital significantly weakens the relationship between efficacy of information acquisition and IEC adoption, while relational capital enhances the relationship between trust and adoption.

Research limitations/implications

This paper provides a theoretical lens based on social capital theory for evaluating the moderating effects of social capital on the relationship between RA and IEC adoption by premium customers in the banking industry.

Practical implications

Findings provide insights for the practice of banks when trying to deliver financial services via an IEC to the premium customer segment.

Originality/value

This research extends the channel choice theory to the context of banking channel adoption of premium customers; provides a better understanding of the IEC and its adoption in the more complex setting of financial consultation services; and offers insights for a better understanding of fragmented findings on the relationships between adoption intention and its antecedents in response to calls for studies on contingent factors.

Details

Internet Research, vol. 30 no. 2
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 20 December 2018

Mi Zhao, Huifang Li, Shengtao Cao and Xiuli Du

The purpose of this paper is to propose a new explicit time integration algorithm for solution to the linear and non-linear finite element equations of structural dynamic and wave…

Abstract

Purpose

The purpose of this paper is to propose a new explicit time integration algorithm for solution to the linear and non-linear finite element equations of structural dynamic and wave propagation problems.

Design/methodology/approach

The algorithm is completely explicit so that no linear equation system requires solving, if the mass matrix of the finite element equation is diagonal and whether the damping matrix does or not. The algorithm is a single-step method that has the simple starting and is applicable to the analysis with the variable time step size. The algorithm is second-order accurate and conditionally stable. Its numerical stability, dissipation and dispersion are analyzed for the dynamic single-degree-of-freedom equation. The stability of the multi-degrees-of-freedom non-proportional damping system can be evaluated directly by the stability theory on ordinary differential equation.

Findings

The performance of the proposed algorithm is demonstrated by several numerical examples including the linear single-degree-of-freedom problem, non-linear two-degree-of-freedom problem, wave propagation problem in two-dimensional layer and seismic elastoplastic analysis of high-rise structure.

Originality/value

A new single-step second-order accurate explicit time integration algorithm is proposed to solve the linear and non-linear dynamic finite element equations. The algorithm has advantages on the numerical stability and accuracy over the existing modified central difference method and Chung-Lee method though the theory and numerical analyses.

Article
Publication date: 17 March 2022

Teng Teng, Huifang Li, Yulin Fang and Lingzhi Shen

In recent years, closed social networking sites (SNSs) have become popular advertising media. Marketer-generated advertisements (MGAs) and user-generated advertisements (UGAs) are…

Abstract

Purpose

In recent years, closed social networking sites (SNSs) have become popular advertising media. Marketer-generated advertisements (MGAs) and user-generated advertisements (UGAs) are the two pillars of advertising businesses. The objective of this research is to investigate and compare how these ad types (i.e. MGA versus UGA) affect advertising effectiveness in closed SNSs.

Design/methodology/approach

The authors conducted a scenario-based experiment of 403 WeChat users in China and used partial least squares structural equation modeling (PLS-SEM) to examine the research model.

Findings

The study results indicate that UGAs perform better than MGAs in enhancing consumers' perceived informativeness, credibility and entertainment, while MGAs are more likely to make consumers feel irritated than UGAs in closed SNSs. Moreover, consumers' perceived informativeness, credibility and entertainment positively influence advertising effectiveness, whereas perceived irritation negatively affects it.

Originality/value

This study reveals consumers' psychological response mechanisms to MGA and UGA and sheds light on their differential effectiveness by extending the stimuli-organism-response model to the context of closed SNSs.

Article
Publication date: 20 June 2019

Patrick McCole, Elaine Ramsey, Andrew Kincaid, Yulin Fang and Huifang LI

Varied accounts exist regarding the role of trust and satisfaction in online continuance intention and contexts within which this occurs. The purpose of this paper is to consider…

1131

Abstract

Purpose

Varied accounts exist regarding the role of trust and satisfaction in online continuance intention and contexts within which this occurs. The purpose of this paper is to consider the moderating effect of structural assurance (SA) on satisfaction and trust and trust and continuance intention in a pure e-service context (online betting).

Design/methodology/approach

UK online bettors were surveyed with an instrument developed using validated variables and measurements, including continuance intention, satisfaction, trust (in vendor) and SA. Structural equation modeling with partial least squares was used to evaluate the measurement and structural model simultaneously.

Findings

SA positively moderates the trust–continuance intention relationship but not the satisfaction–trust relationship. SA is positively associated with trust.

Research limitations/implications

The study contributes to research focused on exploring the moderating effects of trust and satisfaction on continuance intention where institution-based mechanisms are perceived to be effective and framed to assure success.

Practical implications

An over-reliance on context-specific mechanisms is inadequate; strategic approaches to trust must consider contextual and institutional mechanisms interdependently.

Originality/value

The paper addresses the need for research relating to the institutional context within which trust mechanisms operate. This research provides a novel contribution through an exploration of the moderating effects of SA on: trust and continuance intention; and satisfaction and trust (the authors also measure the direct effect of SA on trust). This paper is one of the first studies to examine these important concepts in this context. The online betting case allows for the exploration of risk where vendor-specific and contextual risk are both high.

Details

Information Technology & People, vol. 32 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 5 August 2019

Huifang Li, Mi Zhao, Lihua Wu, Piguang Wang and Xiuli Du

The purpose of this paper is to propose a stable high-order absorbing boundary condition (ABC) based on new continued fraction for scalar wave propagation in 2D and 3D unbounded…

Abstract

Purpose

The purpose of this paper is to propose a stable high-order absorbing boundary condition (ABC) based on new continued fraction for scalar wave propagation in 2D and 3D unbounded layers.

Design/methodology/approach

The ABC is obtained based on continued fraction (CF) expansion of the frequency-domain dynamic stiffness coefficient (DtN kernel) on the artificial boundary of a truncated infinite domain. The CF which has been used to the thin layer method in [69] will be applied to the DtN method to develop a time-domain high-order ABC for the transient scalar wave propagation in 2D. Furthermore, a new stable composite-CF is proposed in this study for 3D unbounded layers by nesting the above CF for 2D layer and another CF.

Findings

The ABS has been transformed from frequency to time domain by using the auxiliary variable technique. The high-order time-domain ABC can couple seamlessly with the finite element method. The instability of the ABC-FEM coupled system is discussed and cured.

Originality/value

This manuscript establishes a stable high-order time-domain ABC for the scalar wave equation in 2D and 3D unbounded layers, which is based on the new continued fraction. The high-order time-domain ABC can couple seamlessly with the finite element method. The instability of the coupled system is discussed and cured.

Details

Engineering Computations, vol. 36 no. 7
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 14 October 2022

Yiwen Li, Zhihai Dong, Junyan Miao, Huifang Liu, Aleksandr Babkin and Yunlong Chang

This paper aims to anticipate the possible development direction of WAAM. For large-scale and complex components, the material loss and cycle time of wire arc additive…

Abstract

Purpose

This paper aims to anticipate the possible development direction of WAAM. For large-scale and complex components, the material loss and cycle time of wire arc additive manufacturing (WAAM) are lower than those of conventional manufacturing. However, the high-precision WAAM currently requires longer cycle times for correcting dimensional errors. Therefore, new technologies need to be developed to achieve high-precision and high-efficiency WAAM.

Design/methodology/approach

This paper analyses the innovations in high-precision WAAM in the past five years from a mechanistic point of view.

Findings

Controlling heat to improve precision is an effective method. Methods of heat control include reducing the amount of heat entering the deposited interlayer or transferring the accumulated heat out of the interlayer in time. Based on this, an effective and highly precise WAAM is achievable in combination with multi-scale sensors and a complete expert system.

Originality/value

Therefore, a development direction for intelligent WAAM is proposed. Using the optimised process parameters based on machine learning, adjusting the parameters according to the sensors’ in-process feedback, achieving heat control and high precision manufacturing.

Article
Publication date: 3 August 2015

Huifang Li, Yulin Fang, Youwei Wang, Kai H. Lim and Liang Liang

In the competitive e-marketplace today, sellers are using an increasing number of signals to entice customers to make online purchases. However, how differential these signals are…

2492

Abstract

Purpose

In the competitive e-marketplace today, sellers are using an increasing number of signals to entice customers to make online purchases. However, how differential these signals are in terms of their capacity to improve sales performance has not yet been investigated. The paper aims to discuss this issue.

Design/methodology/approach

Drawing on signaling theory and grounded in the context of China’s largest e-marketplace, Taobao, this study investigated the different effects of five commonly used signals on the sales performance of e-marketplace sellers.

Findings

The authors find that warranty has the highest effect on sales performance, followed by overall rating, mean detailed seller rating, percent of positives, and web site quality.

Originality/value

First, this study builds on signaling theory and contributes to the e-marketplace literature by providing new insights into how specific signals differentially affect sales performance in the e-marketplace (with evidence from a large-scale empirical analysis). Second, the study extends the applicability of signaling theory to the e-marketplace domain by incorporating distinctive features of the e-marketplace into the original signaling theory. Finally, the findings lend practical support to e-marketplace sellers’ investment decisions on signals and provide guidelines for deployment of such signals.

Details

Information Technology & People, vol. 28 no. 3
Type: Research Article
ISSN: 0959-3845

Keywords

Open Access
Article
Publication date: 14 March 2022

Xiaochen Zhang and Huifang Yin

The aim of this paper is to examine the effect of information disclosure by unlisted bond issuers on the stock price informativeness of listed firms in the same industry.

1365

Abstract

Purpose

The aim of this paper is to examine the effect of information disclosure by unlisted bond issuers on the stock price informativeness of listed firms in the same industry.

Design/methodology/approach

This paper takes advantage of information disclosure during the bond issuance and examines the spillover effect of unlisted bond issuers' information disclosure on listed firms in the stock market. The sample is composed of A-share firms listed on the Shanghai and Shenzhen stock exchanges from 2007 to 2018. All the data are obtained from the China Stock Market and Accounting Research and WIND databases. The impact of bond market information disclosure on price informativeness of listed firms in the same industry is identified through multivariate regression analyses.

Findings

Empirical results show that price informativeness of listed firms has a significantly positive association with the information disclosure of same-industry unlisted bond issuers. Further analyses show that the above finding is more significant when information disclosure of bond issuers is a more important channel for acquiring industry information (i.e. when industry is more concentrated, when economic uncertainty is high, and when industry information is less transparent) and understanding the industry competitive landscape (i.e. when bond issuers are relatively large, when bond issuers and listed firms have more direct product competition, when bond issuance firms are large-scale state-owned business groups), and when there are more cross-market information intermediaries (i.e. more cross-market institutional investors and more sell-side analysts). This paper indicates that information disclosure of bond issuers has a positive spillover effect on the stock market.

Originality/value

The novelty of the research is that the authors examine industry information spillover from unlisted firms to listed firms leveraging on unlisted firms' information disclosure in bond markets.

Details

China Accounting and Finance Review, vol. 24 no. 1
Type: Research Article
ISSN: 1029-807X

Keywords

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