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1 – 10 of 928Baoku Li and Yafeng Nan
This paper aims to reveal the influence of the presentation of online product information (POPI) on consumer attitudes in the context of online buying digital products.
Abstract
Purpose
This paper aims to reveal the influence of the presentation of online product information (POPI) on consumer attitudes in the context of online buying digital products.
Design/methodology/approach
Two main experimental designs are used to collect data. The ANOVA, t-test and Bootstrap methods are applied to check hypotheses.
Findings
Findings of Study 1 indicate that if the POPI is combined with different types of celebrity endorsement (CE) (real vs virtual), the self-brand connection will be changed and further influence consumer attitudes toward digital products. Study 2 verifies the diverse moderating effects of the type of virtual CE. The CRP (central-route presentation) online product information with SVCE (super-realistic-digital virtual CE) can decrease consumer attitudes, while the PRP (peripheral-route presentation) online product information with AVCE (anthropomorphic virtual CE) can enhance consumer attitudes.
Practical implications
E-commerce enterprises should optimize the current layout of POPI by considering diverse matchings between POPI and CE to increase consumer attitudes. Moreover, marketers could make various schemes of POPI considering (virtual) CE and self-brand connection.
Originality/value
Findings contribute to understanding the relationship between POPI and consumer attitudes considering the mediation of self-brand connection and the mediations of virtual/real CE. Additionally, this study bridges the gap between research on virtual CE and business practices.
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Jing Liang, Ming Li and Xuanya Shao
The purpose of this study is to explore the impact of online reviews on answer adoption in virtual Q&A communities, with an eye toward extending knowledge exchange and community…
Abstract
Purpose
The purpose of this study is to explore the impact of online reviews on answer adoption in virtual Q&A communities, with an eye toward extending knowledge exchange and community management.
Design/methodology/approach
Online reviews contain rich cognitive and emotional information about community members regarding the provided answers. As feedback information on answers, it is crucial to explore how online reviews affect answer adoption. Based on signaling theory, a research model reflecting the influence of online reviews on answer adoption is established and empirically examined by using secondary data with 69,597 Q&A data and user data collected from Zhihu. Meanwhile, the moderating effects of the informational and emotional consistency of reviews and answers are examined.
Findings
The negative binomial regression results show that both answer-related signals (informational support and emotional support) and answerers-related signals (answerers’ reputations and expertise) positively impact answer adoption. The informational consistency of reviews and answers negatively moderates the relationships among information support, emotional support and answer adoption but positively moderates the effect of answerers’ expertise on answer adoption. Furthermore, the emotional consistency of reviews and answers positively moderates the effect of information support and answerers’ reputations on answer adoption.
Originality/value
Although previous studies have investigated the impacts of answer content, answer source credibility and personal characteristics of knowledge seekers on answer adoption in virtual Q&A communities, few have examined the impact of online reviews on answer adoption. This study explores the impacts of informational and emotional feedback in online reviews on answer adoption from a signaling theory perspective. The results not only provide unique ideas for community managers to optimize community design and operation but also inspire community users to provide or utilize knowledge, thereby reducing knowledge search costs and improving knowledge exchange efficiency.
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Christine Prince, Nessrine Omrani and Francesco Schiavone
Research on online user privacy shows that empirical evidence on how privacy literacy relates to users' information privacy empowerment is missing. To fill this gap, this paper…
Abstract
Purpose
Research on online user privacy shows that empirical evidence on how privacy literacy relates to users' information privacy empowerment is missing. To fill this gap, this paper investigated the respective influence of two primary dimensions of online privacy literacy – namely declarative and procedural knowledge – on online users' information privacy empowerment.
Design/methodology/approach
An empirical analysis is conducted using a dataset collected in Europe. This survey was conducted in 2019 among 27,524 representative respondents of the European population.
Findings
The main results show that users' procedural knowledge is positively linked to users' privacy empowerment. The relationship between users' declarative knowledge and users' privacy empowerment is partially supported. While greater awareness about firms and organizations practices in terms of data collections and further uses conditions was found to be significantly associated with increased users' privacy empowerment, unpredictably, results revealed that the awareness about the GDPR and user’s privacy empowerment are negatively associated. The empirical findings reveal also that greater online privacy literacy is associated with heightened users' information privacy empowerment.
Originality/value
While few advanced studies made systematic efforts to measure changes occurred on websites since the GDPR enforcement, it remains unclear, however, how individuals perceive, understand and apply the GDPR rights/guarantees and their likelihood to strengthen users' information privacy control. Therefore, this paper contributes empirically to understanding how online users' privacy literacy shaped by both users' declarative and procedural knowledge is likely to affect users' information privacy empowerment. The study empirically investigates the effectiveness of the GDPR in raising users' information privacy empowerment from user-based perspective. Results stress the importance of greater transparency of data tracking and processing decisions made by online businesses and services to strengthen users' control over information privacy. Study findings also put emphasis on the crucial need for more educational efforts to raise users' awareness about the GDPR rights/guarantees related to data protection. Empirical findings also show that users who are more likely to adopt self-protective approaches to reinforce personal data privacy are more likely to perceive greater control over personal data. A broad implication of this finding for practitioners and E-businesses stresses the need for empowering users with adequate privacy protection tools to ensure more confidential transactions.
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Jingqiong Sun, Junren Ming, Xuezhi Wang and Yawen Zhang
This paper aims to examine the impact of the COVID-19 infodemic on the public’s online information behaviour, offering insights critical for shaping effective informational…
Abstract
Purpose
This paper aims to examine the impact of the COVID-19 infodemic on the public’s online information behaviour, offering insights critical for shaping effective informational responses in future public health emergencies.
Design/methodology/approach
This paper uses a structured online survey with 27 targeted questions using a five-point Likert scale to measure eight variables. Data analysis is conducted through structural equation modelling on 307 valid responses to rigorously test the research hypotheses.
Findings
This paper indicates that information quality significantly impacts the public’s capacity to select, share and use online information. Additionally, the comprehensibility of information plays a crucial role in shaping the public’s behaviours in terms of online information exchange and usage. The credibility of information sources emerges as a key determinant influencing the public’s online information selection, exchange and utilization behaviour. Moreover, social influence exerts a substantial effect on the public’s online information selection, acquisition, exchange and utilization behaviour. These findings highlight the presence of universality and sociality, mediation and guidance, as well as the purposefulness and selectivity performed by the public’s online information behaviour during an infodemic.
Originality/value
This paper introduces a novel research model for assessing the influence and identifies the patterns of the public’s online information behaviour during the COVID-19 infodemic. The findings have significant implications for developing strategies to tackle information dissemination challenges in future major public health emergencies.
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Tariq Rasheed and Shamshad Ahmed
The primary purpose of this study was to check the online information retrieval self-efficacy among library professionals in predicting the satisfaction of patrons within…
Abstract
Purpose
The primary purpose of this study was to check the online information retrieval self-efficacy among library professionals in predicting the satisfaction of patrons within universities’ libraries.
Design/methodology/approach
The study was grounded on Bandura four sources of self-efficacy, encompassing mastery experience, vicarious experience, social persuasion and physiological states. To accomplish this, a meticulously designed questionnaire was administered to collect data from library professionals employed in universities libraries recognized by the Higher Education Commission in Punjab and capital city of Pakistan (Islamabad). Following by the validation of assumptions, researchers conducted a multiple linear regression test to predict the outcomes of the dependent variable by using the independents variables. Additionally, a comparative evaluation was carried out among all the independent variables to determine their respective contributions to satisfaction of library patrons.
Findings
The results emphasized the distinct and substantial significance of three variables, physiological states, social feedback and mastery experience in predicting the satisfaction of library patrons. Nevertheless, vicarious experience did not demonstrate a significant influence on the satisfaction of library patrons. Furthermore, influence of physiological states on the improvement of library patrons’ satisfaction was relatively higher compared to other three self-efficacy sources. In conclusion, research established the essential role of online information retrieval self-efficacy in enhancing the satisfaction of library patrons.
Practical implications
The findings of the study can form a solid basis for devising academic programs to train the library professionals for effective utilization of various information systems and databases. These programs play an important role in improving the self-efficacy of library professionals, ultimately refining their skills in online information retrieval.
Originality/value
In essence, this study provides insights into the factors which are pivotal in effective information searching process, ultimately leading to increase the satisfaction level of library patrons which has not been previously researched in Pakistan as well as the world context. Moreover, the study significance lies in contribute to academic discourse, its potential to transform and promote the library services and as well as empower library professionals in delivering the satisfying and efficient experience for library patrons in the current digital age.
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This study argues that online user comments on social media platforms provide feedback and evaluation functions. These functions can provide services for the relevant departments…
Abstract
Purpose
This study argues that online user comments on social media platforms provide feedback and evaluation functions. These functions can provide services for the relevant departments of organizations or institutions to formulate corresponding public opinion response strategies.
Design/methodology/approach
This study considers Chinese universities’ public opinion events on the Weibo platform as the research object. It collects online comments on Chinese universities’ network public opinion governance strategy texts on Weibo, constructs the sentiment index based on sentiment analysis and evaluates the effectiveness of the network public opinion governance strategy adopted by university officials.
Findings
This study found the following: First, a complete information release process can effectively improve the effect of public opinion governance strategies. Second, the effect of network public opinion governance strategies was significantly influenced by the type of public opinion event. Finally, the effect of public opinion governance strategies is closely related to the severity of punishment for the subjects involved.
Research limitations/implications
The theoretical contribution of this study lies in the application of image repair theory and strategies in the field of network public opinion governance, which further broadens the scope of the application of image repair theory and strategies.
Originality/value
This study expands online user comment research to network public opinion governance and provides a quantitative method for evaluating the effect of governance strategies.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2022-0269
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Atousa Noei and Mohammad Akbari
In online shopping, there is often a risk due to the inability to check the products. As a result, it can reduce the impact of factors affecting the intention to buy online, which…
Abstract
Purpose
In online shopping, there is often a risk due to the inability to check the products. As a result, it can reduce the impact of factors affecting the intention to buy online, which is a significant point in e-commerce. The purpose of this research is to investigate the impact of the evidence and the perceived usefulness of a store site on the existing risk and online participation of customers for online shopping.
Design/methodology/approach
The statistical population of this research is people who have had the experience of online shopping at the Digikala store. The research method was descriptive-survey and the samples were randomly selected. A questionnaire was also used to collect information. Structural and statistical analysis of the model was done by SmartPLS3 software.
Findings
In this research, the authors found that the perceived usefulness (benefits of the site) has a favorable effect on the online participation of customers. It can also reduce the risk of online shopping. This research suggests good ways to increase sales to those who have a store site. The present research provides useful findings for those who sell their products online.
Originality/value
This research specifically examines the interaction of customers with sellers and can be a help for progress in e-commerce. In this study, perceived risk and participation as mediating variables, information and perceived usefulness on the site as independent variables and online shopping intention a dependent variables. This research was done about Digikala's online store. The results were obtained with the participation of customers in completing the questionnaire. Then the theoretical model and the background of the research are examined and then the hypotheses are evaluated according to the statistical results and finally, the research results and limitations are stated.
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Yabin Yang, Xitong Guo, Tianshi Wu and Doug Vogel
Social media facilitates the communication and the relationship between healthcare professionals and patients. However, limited research has examined the role of social media in a…
Abstract
Purpose
Social media facilitates the communication and the relationship between healthcare professionals and patients. However, limited research has examined the role of social media in a physicians' online return. This study, therefore, investigates physicians' online economic and social capital return in relation to physicians' use of social media and consumer engagement.
Design/methodology/approach
Using ordinary least squares (OLS) regression with fixed effects (FE) and panel data collected from Sina Weibo and Sina Health, this study analyzes the impact of physicians' social media use and consumer engagement on physicians' online return and the moderation effect of professional seniority.
Findings
The results reveal that physicians' use of social media and consumer sharing behavior positively affect physicians' online economic return. In contrast, consumer engagement positively impacts physicians' online social capital return. While professional seniority enhances the effect of physicians' social media use on online economic return, professional seniority only enhances the relationship between consumers' sharing behavior to the posts and physicians' online social capital return when professional seniority comes to consumer engagement.
Originality/value
This study reveals the different roles of social media use and consumer engagement in physicians' online return. The results also extend and examine the social media affordances theory in online healthcare communities and social media platforms.
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Jitpisut Bubphapant and Amélia Brandão
Given the importance of the growing segmentation of ageing consumers and their increasing interaction with the Internet, digital marketing scholars are becoming more interested in…
Abstract
Purpose
Given the importance of the growing segmentation of ageing consumers and their increasing interaction with the Internet, digital marketing scholars are becoming more interested in this market. Prior research needs to pay more attention to this market in many contexts of digital marketing. This study aims to provide insights into ageing consumers’ content usage, content typology choices, and online brand advocacy (OBA).
Design/methodology/approach
Semi-structured interviews were applied, and 16 consumers from Southern Europe aged 55+ were included. The interviews were transcribed and examined following the principles of content analysis.
Findings
According to the research, older consumers display their usage and concerns regarding online content. They have different decision-making processes depending on whether they are purchasing products or services. Likewise, their choices of content typology vary based on the utilitarian or hedonic product category.
Originality/value
This study contributes to the literature by providing insights into this growing segmentation and proposing an OBA framework for older consumers related to content marketing. Finally, the study suggests that older consumers are passive online and active offline brand advocates.
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Zhixue Liao, Xinyu Gou, Qiang Wei and Zhibin Xing
Online reviews serve as valuable sources of information, reflecting tourists’ attentions, preferences and sentiments. However, although the existing research has demonstrated that…
Abstract
Purpose
Online reviews serve as valuable sources of information, reflecting tourists’ attentions, preferences and sentiments. However, although the existing research has demonstrated that incorporating online review data can enhance the performance of tourism demand forecasting models, the reliability of online review data and consumers’ decision-making process have not been given adequate attention. To address the aforementioned problem, the purpose of this study is to forecast tourism demand using online review data derived from the analysis of review helpfulness.
Design/methodology/approach
The authors propose a novel “identification-first, forecasting-second” framework. This framework prioritizes the identification of helpful reviews through a comprehensive analysis of review helpfulness, followed by the integration of helpful online review data into the forecasting system. Using the SARIMAX model with helpful online review data sourced from TripAdvisor, this study forecasts tourist arrivals in Hong Kong during the period from August 2012 to June 2019. The SNAÏVE/SARIMA model was used as the benchmark model. Additionally, artificial intelligence models including long short-term memory, back propagation neural network, extreme learning machine and random forest models were used to assess the robustness of the results.
Findings
The results demonstrate that online review data are subject to noise and bias, which can adversely affect the accuracy of predictions when used directly. However, by identifying helpful online reviews beforehand and incorporating them into the forecasting process, a notable enhancement in predictive performance can be realized.
Originality/value
First, to the best of the authors’ knowledge, this study is one of the first to focus on the data issue of online reviews on tourism arrivals forecasting. Second, this study pioneers the integration of the consumer decision-making process into the domain of tourism demand forecasting, marking one of the earliest endeavors in this area. Third, this study makes a novel attempt to identify helpful online reviews based on reviews helpfulness analysis.
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