Search results

1 – 10 of 485
Article
Publication date: 10 April 2017

Fei Liu, Bo Xiao, Eric T.K. Lim and Chee-Wee Tan

By delineating electronic word-of-mouth (e-WOM) into numerical rating and opinionated review, the purpose of this paper is to advance a research model that articulates how the…

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Abstract

Purpose

By delineating electronic word-of-mouth (e-WOM) into numerical rating and opinionated review, the purpose of this paper is to advance a research model that articulates how the provision of e-WOM can aid in alleviating consumers’ distrust of online service providers, a key determinant in the former’s adoption of the latter. The authors also endeavor to uncover the role gender plays in moderating the aforementioned relationship between e-WOM and distrust.

Design/methodology/approach

The research model was validated via a field survey administered on 115 college students and faculty members, who had been exposed to a custom-developed online restaurant review website. SmartPLS 2.0.M3 was employed to verify both the measurement and structural properties of the research model.

Findings

Distrust reduces male consumers’ perceptions of usefulness and ease of use toward an online service provider while increasing their adoption intention. For their female counterparts, distrust reduces both perceived ease of use and adoption intention for an online service provider. Additionally, for male consumers, only opinionated review aids in alleviating distrust. Conversely, both numerical rating and opinionated review aid in alleviating the distrust of female consumers. Moreover, in contrast to their female counterparts, male consumers are less susceptible to the influence of cognitive dissonance between numerical rating and opinionated review.

Research limitations/implications

This study integrates distrust with the technology acceptance model (TAM) in an attempt to gain a deeper appreciation of technology acceptance behavior. Furthermore, this study builds on the confirmation bias theory to delineate e-WOM into numerical rating and opinionated review in order to better explicate variations in how males and females react to these two distinct forms of e-WOM. Consistent with the cognitive dissonance theory, the distinction between numerical rating and opinionated review enables further exploration of the impact of cognitive dissonance between these two forms of e-WOM on male and female consumers’ distrust of online service providers. Finally, this study unveils contrasting conflict resolution strategies adopted by male and female consumers to cope with cognitive dissonance in e-WOM.

Practical implications

Findings from this study yield prescriptions for practitioners in terms of how e-WOM can be harnessed to alleviate consumers’ distrust of online service provider. Whereas it is crucial for online service providers to draw on opinionated review to reduce distrust for male consumers, numerical rating should be emphasized for female consumers. This study also sensitizes practitioners to the drawback of providing both numerical rating and opinionated review at the same time due to the potential for cognitive dissonance.

Originality/value

This study is the first to: position distrust within the well-accepted TAM in order to enrich the understanding of technology acceptance behavior; testify to the importance of delineating between numerical rating and opinionated review due to the possibility of cognitive dissonance between these two distinct forms of e-WOM, as well as; uncover contrasting conflict resolution strategies adopted by male and female consumers to cope with cognitive dissonance in accordance with the confirmation bias theory.

Details

Industrial Management & Data Systems, vol. 117 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 7 August 2017

Fei Liu, Bo Xiao, Eric T.K. Lim and Chee-Wee Tan

The purpose of this paper is to advance product appeal and website appeal as focal psychological mechanisms that can be invoked by business-to-consumer e-commerce sites to…

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Abstract

Purpose

The purpose of this paper is to advance product appeal and website appeal as focal psychological mechanisms that can be invoked by business-to-consumer e-commerce sites to mitigate problems of information asymmetry via signaling to bolster consumers’ purchase intention under the influence of trust.

Design/methodology/approach

Survey approach was employed to validate the research model.

Findings

Website appeal partially mediates the positive effect of product appeal on consumers’ purchase intention. Trust in e-commerce sites not only increases purchase intention directly, but it also reinforces the positive relationship between website appeal and purchase intention while attenuating the positive relationship between product appeal and purchase intention. Service content quality, search delivery quality, and enjoyment are confirmed as positive antecedents of website appeal whereas diagnosticity and justifiability are established as positive antecedents of product appeal.

Research limitations/implications

This study not only delineates product and website appeal as complementary drivers of consumer purchase on e-commerce sites, but it also derives five signals that aid in bolstering both product and website appeal. Trust is revealed to exert a moderating influence on the impact of product and website appeal on purchase intention.

Practical implications

Practitioners should prioritize their resource allocation to enhance qualities most pertinent to product and website appeal. E-commerce sites should offer product-oriented functionalities to facilitate product diagnosticity and reassure consumers of their purchase decisions.

Originality/value

This study distinguishes between product and website appeal as well as between their respective antecedents. It also uncovers how trust can alter the effects of both website and product appeal on consumers’ purchase intention.

Details

Internet Research, vol. 27 no. 4
Type: Research Article
ISSN: 1066-2243

Keywords

Content available
Article
Publication date: 19 September 2019

Bo Xiao, Zach W.Y. Lee, Eric T.K. Lim and Chee-Wee Tan

3248

Abstract

Details

Internet Research, vol. 29 no. 5
Type: Research Article
ISSN: 1066-2243

Book part
Publication date: 1 January 2005

Lan Xia and Kent B. Monroe

Abstract

Details

Review of Marketing Research
Type: Book
ISBN: 978-0-85724-723-0

Article
Publication date: 1 June 2002

Barrie O. Pettman and Richard Dobbins

This issue is a selected bibliography covering the subject of leadership.

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Abstract

This issue is a selected bibliography covering the subject of leadership.

Details

Equal Opportunities International, vol. 21 no. 4/5/6
Type: Research Article
ISSN: 0261-0159

Keywords

Article
Publication date: 31 August 2021

Peng Luo, Eric W.T. Ngai, Yongli Li and Xin Tian

This study examines the dynamic relationships of visit behavior in the multiple channels [personal computer (PC) and mobile channels] on online store sales performance.

Abstract

Purpose

This study examines the dynamic relationships of visit behavior in the multiple channels [personal computer (PC) and mobile channels] on online store sales performance.

Design/methodology/approach

The empirical data were from an online store for the period between August 14, 2015 and May 15, 2016. The data consisted of consumer visit behavior and online store sales performance. Vector autoregression with an exogenous variables model was adopted to investigate the dynamic relationships.

Findings

The empirical results show significant relationships between visit behavior metrics (number of visitors, average number of visits per visitor and average length of each visit) in the two channels and online store sales performance. The number of visitors through the PC and mobile channels strongly and positively affects online store sales performance both in the short term and in the longer term. Moreover, the number of visitors in the PC channel has the strongest influence on sales performance metrics, followed by the number of visitors and the average number of visits in the mobile channel. The PC channel's visit behavior metrics explain a larger proportion of the sales performance variance than that in the mobile channel.

Originality/value

The previous literature on consumer behavior in multichannel marketing mainly focuses on channel selection or migration, and examines the different factors affecting channel choice behavior. Little is known about the impacts of visit behavior in the multiple channels. This study adopts the heuristic-systematic information processing theory to unveil the impacts of visit behavior metrics in the PC and mobile channels on online store sales performance.

Details

Internet Research, vol. 32 no. 3
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 1 April 2003

Georgios I. Zekos

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some…

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Abstract

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Details

Managerial Law, vol. 45 no. 1/2
Type: Research Article
ISSN: 0309-0558

Keywords

Article
Publication date: 3 January 2017

Anthony Scanlan, Daniel O’Hare, Mark Halton, Vincent O’Brien, Brendan Mullane and Eric Thompson

The purpose of this paper is to present analysis of the feedback predictive encoder-based analog-to-digital converter (ADC).

Abstract

Purpose

The purpose of this paper is to present analysis of the feedback predictive encoder-based analog-to-digital converter (ADC).

Design/methodology/approach

The use of feedback predictive encoder-based ADCs presents an alternative to the traditional two-stage pipeline ADC by replacing the input estimate producing first stage of the pipeline with a predictive loop that also produces an estimate of the input signal.

Findings

The overload condition for feedback predictive encoder ADCs is dependent on input signal amplitude and frequency, system gain and filter order. The limitation on the practical usable filter order is set by limit cycle oscillation. A boundary condition is defined for determination of maximum usable filter order. In a practical implementation of the predictive encoder ADC, the time allocated to the key functions of the gain stage and loop quantizer leads to optimization of the power consumption.

Practical implications

A practical switched capacitor implementation of the predictive encoder-based ADC is proposed. The power consumption of key circuit blocks is investigated.

Originality/value

This paper presents a methodology to optimize the bandwidth of predictive encoder ADCs. The overload and stability conditions may be used to determine the maximum input signal bandwidth for a given loop quantizer. Optimization of power consumption based on the allocation of time between the gain stage and the successive approximation register ADC operation is investigated. The lower bound of power consumption for this architecture is estimated.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 36 no. 1
Type: Research Article
ISSN: 0332-1649

Keywords

Content available
Book part
Publication date: 22 June 2021

John N. Moye

Abstract

Details

The Psychophysics of Learning
Type: Book
ISBN: 978-1-80117-113-7

Article
Publication date: 31 May 2024

Amanda de Oliveira e Silva, Alice Leonel, Maisa Tonon Bitti Perazzini and Hugo Perazzini

Brewer's spent grain (BSG) is the main by-product of the brewing industry, holding significant potential for biomass applications. The purpose of this paper was to determine the…

Abstract

Purpose

Brewer's spent grain (BSG) is the main by-product of the brewing industry, holding significant potential for biomass applications. The purpose of this paper was to determine the effective thermal conductivity (keff) of BSG and to develop an Artificial Neural Network (ANN) to predict keff, since this property is fundamental in the design and optimization of the thermochemical conversion processes toward the feasibility of bioenergy production.

Design/methodology/approach

The experimental determination of keff as a function of BSG particle diameter and heating rate was performed using the line heat source method. The resulting values were used as a database for training the ANN and testing five multiple linear regression models to predict keff under different conditions.

Findings

Experimental values of keff were in the range of 0.090–0.127 W m−1 K−1, typical for biomasses. The results showed that the reduction of the BSG particle diameter increases keff, and that the increase in the heating rate does not statistically affect this property. The developed neural model presented superior performance to the multiple linear regression models, accurately predicting the experimental values and new patterns not addressed in the training procedure.

Originality/value

The empirical correlations and the developed ANN can be utilized in future work. This research conducted a discussion on the practical implications of the results for biomass valorization. This subject is very scarce in the literature, and no studies related to keff of BSG were found.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0961-5539

Keywords

1 – 10 of 485