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1 – 10 of 60Peng 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.
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Samuel Fosso Wamba, Eric W.T. Ngai, Frederick Riggins and Shahriar Akter
Yuanyuan Wu, Eric W.T. Ngai, Pengkun Wu and Chong Wu
The extensive distribution of fake news on the internet (FNI) has significantly affected many lives. Although numerous studies have recently been conducted on this topic, few have…
Abstract
Purpose
The extensive distribution of fake news on the internet (FNI) has significantly affected many lives. Although numerous studies have recently been conducted on this topic, few have helped us to systematically understand the antecedents and consequences of FNI. This study contributes to the understanding of FNI and guides future research.
Design/methodology/approach
Drawing on the input–process–output framework, this study reviews 202 relevant articles to examine the extent to which the antecedents and consequences of FNI have been investigated. It proposes a conceptual framework and poses future research questions.
Findings
First, it examines the “what”, “why”, “who”, “when”, “where” and “how” of creating FNI. Second, it analyses the spread features of FNI and the factors that affect the spread of FNI. Third, it investigates the consequences of FNI in the political, social, scientific, health, business, media and journalism fields.
Originality/value
The extant reviews on FNI mainly focus on the interventions or detection of FNI, and a few analyse the antecedents and consequences of FNI in specific fields. This study helps readers to synthetically understand the antecedents and consequences of FNI in all fields. This study is among the first to summarise the conceptual framework for FNI research, including the basic relevant theoretical foundations, research methodologies and public datasets.
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Peng Luo, Eric W.T. Ngai and T.C. Edwin Cheng
This paper examines the relationship between supply chain network structures and firm financial performance and the moderating role of international relations. In this study…
Abstract
Purpose
This paper examines the relationship between supply chain network structures and firm financial performance and the moderating role of international relations. In this study, which is grounded in social capital theory and applies the perspective of systemic risk, the authors theorize the effects of supply chain network structures on firm performance.
Design/methodology/approach
The authors extracted data from two Chinese databases and constructed a supply chain network of the firms concerned based on nearly 4,300 supply chain relations between 2009 and 2018. The authors adopted the fixed effects model to investigate the relationship between supply chain network structures and firm financial performance.
Findings
The econometrics results indicate that network structures, including the degree, centrality, clustering coefficients and structural holes, are significantly related to firm financial performance. A significant and negative relationship exists between international relations and firm financial performance. The authors also find that international relations strongly weaken the relationship between supply chain network structures and firm financial performance.
Originality/value
This study, which collects secondary data from developing countries (e.g. China) and explores the impacts of supply chain network structures on firm stock performance, contributes to the existing literature and provides practical implications.
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This study aims to provide an objective analysis of the state-of-the-art and intellectual development of publications related to event study methodology in business research.
Abstract
Purpose
This study aims to provide an objective analysis of the state-of-the-art and intellectual development of publications related to event study methodology in business research.
Design/methodology/approach
The sample includes 1,219 papers related to event study methodology, covering all business disciplines and spanning 34 years from 1983 to 2016.
Findings
Through three stages of primary analysis, namely, initial sample, citation and co-citation analyses, the authors identified the publication trends, supplementary techniques, influential publications and intellectual clusters in the area of event study methodology in business.
Research limitations/implications
The findings serve as a benchmark for the extensive literature related to event study methodology in business and may facilitate the transference of the amassed useful techniques among disciplines and the identification of future research directions.
Originality/value
The current study represents as a pioneering effort to review event study-related publications using bibliometric analysis.
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Yangchun Xiong, Hugo K.S. Lam, Ajay Kumar, Eric W.T. Ngai, Chunyu Xiu and Xinyue Wang
Although there have been considerable discussions on the business value of adopting blockchain in supply chains, it is unclear whether such blockchain-enabled supply chains…
Abstract
Purpose
Although there have been considerable discussions on the business value of adopting blockchain in supply chains, it is unclear whether such blockchain-enabled supply chains (BESCs) can help firms mitigate the negative impact resulting from the recent COVID-19 pandemic. This study aims to answer this important question.
Design/methodology/approach
The authors conduct an event study to quantify the financial effects of the COVID-19 pandemic and compare the differences in such effects between treatment firms that have adopted BESCs and matched control firms that have not adopted BESCs. The authors also perform a regression analysis to examine how the role of BESCs in mitigating COVID-19's negative impact varies across firms with different levels of supply chain leanness and complexity. The analysis is based on 88 treatment firms and 88 matched control firms, all of which are publicly listed on the US stock markets.
Findings
The test results suggest that although both the treatment and control firms are negatively affected by the COVID-19 pandemic, the effect is less negative for the treatment firms compared to the control firms, demonstrating the role of BESCs in mitigating the negative impact caused by the COVID-19 pandemic. Moreover, the mitigating role of BESCs is more pronounced for firms with lean and complex supply chains.
Originality/value
This study is among the first to provide empirical evidence on the mitigating role of BESCs during the COVID-19 pandemic, highlighting the importance of adopting blockchain in supply chains with high uncertainties and disruption risks.
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Jing Li, Xin Xu and Eric W.T. Ngai
We investigate the joint impacts of three trust cues – content, sentiment and helpfulness votes – of online product reviews on the trust of reviews and attitude toward the…
Abstract
Purpose
We investigate the joint impacts of three trust cues – content, sentiment and helpfulness votes – of online product reviews on the trust of reviews and attitude toward the product/service reviewed.
Design/methodology/approach
We performed three studies to test our research model, presenting participants with scenarios involving product reviews and prior users' helpful and unhelpful votes across experimental settings.
Findings
A high helpfulness ratio boosts users’ trust and influences behaviors in both positive and negative reviews. This effect is more pronounced in attribute-based reviews than emotion-based ones. Unlike the ratio effect, helpfulness magnitude significantly impacts only negative attribute-based reviews.
Research limitations/implications
Future research should investigate voting systems in various online contexts, such as Facebook post likes, Twitter microblog thumb-ups and up-votes for article comments on platforms like The New York Times.
Practical implications
Our findings have significant implications for voting system-providers implementing information techniques on third-party review platforms, participatory sites emphasizing user-generated content and online retailers prioritizing product awareness and reputation.
Originality/value
This study addresses an identified need; that is, the helpfulness votes as an additional trust cue and the joint effects of three trust cues – content, sentiment and helpfulness votes – of online product reviews on the trust of customers in reviews and their consequential attitude toward the product/service reviewed.
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Jing Li, Xin Xu and Eric W.T. Ngai
This study clarifies the integration-related effects of photos and text on consumer information processing and decision-making outcomes.
Abstract
Purpose
This study clarifies the integration-related effects of photos and text on consumer information processing and decision-making outcomes.
Design/methodology/approach
The authors conducted an experiment by recruiting 162 workers from Amazon Mechanical Turk. These participants were randomly assigned based on a full factorial, between-subject design with four possible conditions (2 [separate vs alternate layout] × 2 [photo-first vs text-first sequence]). The authors conducted a two-way analysis of variance to test the main effects and the interaction effects of layout and sequence on perceived diagnosticity, pleasantness feelings and attitudes toward products or services reviewed through electronic word-of-mouth (e-WOM); the authors also applied Process Models 4 and 8 to explore the mechanism of these effects.
Findings
The experimental results reveal that text-first sequence is generally more effective than photo-first sequence in enhancing perceived diagnosticity and attitudes toward products or services. However, when a photo is displayed first, a separate layout is more effective than an alternate layout in enhancing perceived diagnosticity and attitudes. By contrast, regardless of the sequence, an alternate layout is more effective than a separate layout in inducing pleasantness feeling.
Research limitations/implications
Future studies should further explore photo-based e-WOM, including other photo characteristics (e.g. visual quality, quantity and content).
Practical implications
This study provides guidelines for businesses to use photos on social media to achieve strategic goals.
Originality/value
This study addresses an identified need; that is, how the presentation of photo cues (e.g. layout and sequence) influences consumer decisions.
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Anming Li, Eric W.T. Ngai and Junyi Chai
– The purpose of this paper is to propose a new approach recommending friends to social networking users who are also using weight loss app in the context of social networks.
Abstract
Purpose
The purpose of this paper is to propose a new approach recommending friends to social networking users who are also using weight loss app in the context of social networks.
Design/methodology/approach
Social network has been recognized as an effective way to enhance overweight and obesity interventions in past studies. However, effective measures integrating social network with weight loss are very limited in the healthcare area. To bridge this gap, this study develops a measure for friend recommendation using the data obtained by weight loss apps; designs methods to model weight-gain-related behaviors (WGRB); constructs a novel “behavior network;” and develops two measurements in experiments to examine the proposed approach.
Findings
The approach for friend recommendation is based on Friend Recommendation for Health Weight (FRHW) algorithm. By running this algorithm on a real data set, the experiment results show that the algorithm can recommend a friend who has a healthy lifestyle to a target user. The advantages of the proposed mechanism have been well justified via comparisons with popular friend recommenders in past studies.
Originality/value
The conventional methods for friend recommenders in social networks are only concerned with similarities of pairs rather than interactions between people. The system cannot account for the potential influences among people. The method pioneers to model a WGRB as recommendation mechanism that allow recommended friends to simultaneously fulfill two criteria. They are: first, similarity to the target person; and second, ensuring the positive influence toward weight loss. The second criterion is obviously important in practice and thus the approach is valuable to the literature.
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Eric W.T. Ngai, Ka-leung Karen Moon, S.S. Lam, Eric S. K. Chin and Spencer S.C. Tao
In recent years, social media have attracted considerable attention. Hence, the purpose of this paper is to conduct a critical literature review of social media research with the…
Abstract
Purpose
In recent years, social media have attracted considerable attention. Hence, the purpose of this paper is to conduct a critical literature review of social media research with the aim of developing a conceptual framework to explain how social media applications are supported by various social media tools and technologies and underpinned by a set of personal and social behavior theories or models.
Design/methodology/approach
This study adopted a two-stage approach. The first stage involves a critical literature review of academic journals in social media research, followed by the proposal of a conceptual framework that highlights the tools and technologies as well as theories and models that serve as the foundation of social media applications. The second stage involves the use of an actual case to demonstrate how the proposed framework facilitates the development of a social media application for a regional division of an international non-government organization.
Findings
The literature review indicated that social media have been applied in diverse business areas with the support of various social media tools and technologies and underpinned by a range of personal and social behavior theories and models. Based upon such findings, a conceptual social media application framework was devised and its usability illustrated via a real-life case study. Managerial implications are also discussed.
Research limitations/implications
Social media covers a wide range of research topics and thus, the literature review presented in this study may not be exhaustive. Nevertheless, the proposed framework and case study can both serve as reference for future research and provide recommendations for practitioners in the design and development of their own social media applications.
Practical implications
This study not only explains the importance of applying social media in various business sectors, but also enhances the understanding of the infrastructure of social media applications. The study also provides insights for improving the efficiency of application solutions. Organizations are advised to adopt social media in their business based on the proposed conceptual framework.
Originality/value
With a literature review of social media research and a real-life case study, this study presents a conceptual framework using extant theories and models to form a foundation for social media applications. The framework extends existing knowledge on the design and development of information systems.
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