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Article
Publication date: 3 August 2015

Wen-Lung Shiau and Patrick Y.K. Chau

The purpose of this paper is to identify whether altruistic motivation is a significant factor in online group buying and to examine the effects of altruistic and…

1673

Abstract

Purpose

The purpose of this paper is to identify whether altruistic motivation is a significant factor in online group buying and to examine the effects of altruistic and egotistic motivation on online group buying intention through the psychological processes of trust and satisfaction.

Design/methodology/approach

A field study on Ihergo (www.ihergo.com/) was chosen because it is the largest online group buying marketplace in Taiwan. An online survey method was used to collect data. Returned questionnaires numbered 302 responses with 20 incomplete data, resulting in 282 valid responses for data analysis. Collected data were analyzed using structural equation modeling.

Findings

The findings of the study shows that altruism is relevant to online group buying, and trust and satisfaction have significantly positive effects on online group buying intention. The results emphasize that altruism, reciprocity, and reputation of motivations are significantly positive predictors of trust. Altruism and reciprocity have significantly positive effects on satisfaction, whereas reputation does not.

Research limitations/implications

Altruism, reciprocity, and reputation represent three key elements of online group buying behavior. Integration of the altruism, reciprocity, and reputation results in a better explanation on online group buying intention through the psychological process, trust, and satisfaction. This study extends the value of online group buying and sheds light on the potential effects of altruistic and egotistic motivation on online group buying intention.

Practical implications

Online group buying is more complex than individual online shopping and is not easy to fulfill customer requirements. To satisfy online group buying, e-vendors might provide altruistic activities, enhance reciprocal services and products, develop better reputation mechanisms, and present an easier approach to encourage online group buying on the web site.

Originality/value

To the best of the knowledge, this is first paper to examine the effects of altruism on online group buying. The contribution of this study draws attention to the altruistic value of electronic commerce, by theorizing and validating the effects of altruistic and egotistic motivation on online group buying intention through psychological processes (trust and satisfaction).

Details

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

Keywords

Article
Publication date: 26 July 2013

Sharifah Alwi and Shahril Azwan Ismail

This study aims to investigate how price and other service brand attributes (such as website attractiveness, efficiency, privacy, fulfilment) determine e‐brand promise…

2708

Abstract

Purpose

This study aims to investigate how price and other service brand attributes (such as website attractiveness, efficiency, privacy, fulfilment) determine e‐brand promise/reputation and the e‐loyalty of shoppers in an online setting.

Design/methodology/approach

Using the convenience sampling method, a survey research was carried out during a two‐day airline exhibition among experienced respondents who had purchased online tickets in the past. To identify what determines online brand reputation and its effect on e‐loyalty, structural equation modelling using the two‐step approach was performed.

Findings

Fulfilment and competitive price offers have the most significant impact on e‐loyalty, with a full mediation impact (via online brand reputation), whilst website attractiveness has a partial impact. These simultaneously confirm the role of e‐brand reputation as a mediator construct and its antecedents and its relationship with e‐loyalty.

Research limitations/implications

The mediation impact further increases the strength of brand reputation as a construct when modelling consumer responses in an online setting. In particular, the full indirect impact (price and fulfilment) was able to explain how online brand reputation was formed and brand promise can be achieved.

Practical implications

The practical contribution of the study and its managerial implications can be seen in the context of defining strategy and positioning. By confirming that different brand enactments are found in different settings (for example, price, fulfilment, site's attractiveness), this study offers some insights into a company's site strategic brand positioning and differentiation. For example, appropriate enactments, such as price, fulfilment and the attractiveness of the site, could be addressed when designing and enhancing online brand reputation and e‐loyalty. Sample size limitation and generalisation is limited to within the internet airline setting.

Originality/value

While existing research mainly focuses on the effect of service quality and image attributes of e‐loyalty, the current research focuses on other aspects of brand differentiation – e‐brand reputation and the important influencing elements, such as price and website attractiveness – which hitherto have often been ignored in an online setting. In other words, this study highlights the most important attributes that will help to “meet” the online service brand promise through e‐brand reputation.

Article
Publication date: 5 June 2017

Chuang Wei, Zhao-Ji Yu and Xiao-Nan Chen

This paper aims to solve the problem of information overload and reduce search costs. It proposes a social e-commerce online reputation formation model and community…

1169

Abstract

Purpose

This paper aims to solve the problem of information overload and reduce search costs. It proposes a social e-commerce online reputation formation model and community state-introduced model. A system dynamics trend simulation has been run to capture the relationship among the sellers, buyers, social e-commerce platforms and external environment to obtain an online reputation.

Design/methodology/approach

Empirical research relating to social e-commerce reputation has been used to confirm the influencing factors in social e-commerce, and a conceptual framework is developed for social e-commerce reputation formation. Thereafter, a trend simulation is generated to classify the relationship among the factors based on system dynamics. Also, the improved algorithm for community detection and a state-introduced model based on a Markov network are proposed to achieve better network partition for better online reputation management.

Findings

The empirical model captures the interaction effect of social e-commerce reputation and the state-introduced model to guide community public opinion and improve the efficiency of social e-commerce reputation formation. This helps minimize searching cost thereby improving social e-commerce reputation construction and management.

Research limitations/implications

There is no appropriate online reputation system to be constructed to test the relationship proposed in the study for a field experiment. Also, deeper investigation for the nodes’ attributes in social networks should be made in future research. Besides, researchers are advised to explore measurement for the reputation of a given seller by using social media data as from Twitter or micro blogs.

Originality/value

Investigations that study online reputation in the social e-commerce are limited. The empirical research figured out the factors which can influence the formation of online reputation in social e-commerce. An SD model was proposed to explain the factors interaction and trend simulation was run. Also, a state-introduced model was proposed to highlight the effect of nodes’ attributes on communities’ detection to give a deeper investigation for the online reputation management.

Details

Kybernetes, vol. 46 no. 06
Type: Research Article
ISSN: 0368-492X

Keywords

Open Access
Article
Publication date: 5 November 2019

Anette Rantanen, Joni Salminen, Filip Ginter and Bernard J. Jansen

User-generated social media comments can be a useful source of information for understanding online corporate reputation. However, the manual classification of these…

2661

Abstract

Purpose

User-generated social media comments can be a useful source of information for understanding online corporate reputation. However, the manual classification of these comments is challenging due to their high volume and unstructured nature. The purpose of this paper is to develop a classification framework and machine learning model to overcome these limitations.

Design/methodology/approach

The authors create a multi-dimensional classification framework for the online corporate reputation that includes six main dimensions synthesized from prior literature: quality, reliability, responsibility, successfulness, pleasantness and innovativeness. To evaluate the classification framework’s performance on real data, the authors retrieve 19,991 social media comments about two Finnish banks and use a convolutional neural network (CNN) to classify automatically the comments based on manually annotated training data.

Findings

After parameter optimization, the neural network achieves an accuracy between 52.7 and 65.2 percent on real-world data, which is reasonable given the high number of classes. The findings also indicate that prior work has not captured all the facets of online corporate reputation.

Practical implications

For practical purposes, the authors provide a comprehensive classification framework for online corporate reputation, which companies and organizations operating in various domains can use. Moreover, the authors demonstrate that using a limited amount of training data can yield a satisfactory multiclass classifier when using CNN.

Originality/value

This is the first attempt at automatically classifying online corporate reputation using an online-specific classification framework.

Details

Internet Research, vol. 30 no. 1
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 30 September 2019

Marco Cioppi, Ilaria Curina, Fabio Forlani and Tonino Pencarelli

The purpose of this 22-year paper is to synthetize business and management literature in the context of online presence, online visibility and online reputation concepts…

1141

Abstract

Purpose

The purpose of this 22-year paper is to synthetize business and management literature in the context of online presence, online visibility and online reputation concepts. In particular, this paper aims to generalize the analysis by investigating the level of interest of the Internet, digital and interactive marketing-focused literature, as well as the more general business and management one towards these topics.

Design/methodology/approach

To identify the existence or otherwise of an online presence, visibility and reputation definition, as well as an index for measuring them, a systematic review and a content analysis process were performed on 199 articles categorized over 1997-2018.

Findings

The findings highlight the absence of clear and shared online presence, visibility and reputation definitions; the absence of unanimously accepted indexes for measuring them; and the identification of a sequence relationship between the three investigated constructs.

Research limitations/implications

The paper underlines the need for both theoretical and empirical contributions to reduce the complexity characterizing the business and management literature focused on these topics.

Originality/value

The current study brings out interesting directions for future research studies by systematizing all the articles devoted to the online presence, visibility and reputation concepts from a business and management perspective.

Article
Publication date: 21 May 2019

Jia Li, Jie Tang, David C. Yen and Xuan Liu

The purpose of this paper is to investigate the moderating effect of disease risk in terms of the major signals (i.e. status, reputation and self-representation) on the…

Abstract

Purpose

The purpose of this paper is to investigate the moderating effect of disease risk in terms of the major signals (i.e. status, reputation and self-representation) on the e-consultation platforms.

Design/methodology/approach

In this study, the proposed research hypotheses are tested using the transaction data collected from xywy.com (in Need of Therapy). In fact, xywy.com is one the leading e-consultation service websites in China that provides a platform for the interactions between the physicians and patients (Yu et al., 2016; Peng et al., 2015). Generally speaking, it has all the needed design elements and in other words, a standard e-consultation website should have such items/components as physician homepage, physician review, free consultation, paid consultation and recommendation systems.

Findings

The obtained results reveal that all attributes including status, reputation and self-representation have a positive impact on physician’s online order volume. Moreover, there is a positive moderating effect of disease risk onto the online reputation, indicating a higher effect exists for the diseases with high risk. However, the effect of offline status and online self-representation is not moderated by the disease risk, indicating market signals (online reputation) may have a stronger predictive power than seller signals (offline status and online self- representation), and therefore market signals are more effective when/if the disease risk is high.

Originality/value

E-consultation has gradually become a significant trend to provide the healthcare services, in the emerging economy such as China because of shortage of medical resources but having an adequate access in internet usage. The impacts of signals on the health care market have been validated by previous studies. However, the research focusing on the moderating effect of signaling environment in the health care industry is still lacking. As a result, the value of this research helps to bridge the aforementioned research gap.

Details

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

Keywords

Article
Publication date: 6 July 2015

Kuang-Ming Kuo, Paul C. Talley and Chen-Chung Ma

The purpose of this paper is to propose and empirically test a theoretical model that considers the predictors of an individual’s perceptions of information privacy, and…

Abstract

Purpose

The purpose of this paper is to propose and empirically test a theoretical model that considers the predictors of an individual’s perceptions of information privacy, and also how it relates to his/her behavioral intention toward approaching hospital web sites.

Design/methodology/approach

This paper collects data using survey methodology. A total of 331 usable participants are gathered and analyzed via structural equation modeling.

Findings

Significant predictors of information privacy concerns include a stated online privacy policy and a hospital’s reputation. Further, online privacy policy predicts a hospital’s reputation. Finally, hospital reputation and information privacy concerns significantly predict an individual’s behavioral intention toward approaching hospital web sites.

Research limitations/implications

The study confirmed that an online privacy policy and reputation can effectively alleviate specific information privacy concerns; therefore, this may indicate that these two factors should be considered whenever investigating individuals’ information privacy concerns.

Practical implications

To acquire a good reputation and to diminish individuals’ information privacy concerns toward hospital web sites, hospitals should pay attention to the posting of an online privacy policy and communicating such policies to given individuals.

Originality/value

This paper fulfils the gap of exploring the relationship among online privacy policy, organization reputation, and information privacy concerns. Further, the hypothesized model and its findings could also provide useful information for managers who are intent on boosting hospital web site usage frequency patterns.

Article
Publication date: 22 March 2013

Jiyoung Kim and Sharron J. Lennon

This research extends Mehrabian and Russell's Stimulus‐Organism‐Response model to include both external (i.e. reputation) and internal source of information (i.e. website…

15370

Abstract

Purpose

This research extends Mehrabian and Russell's Stimulus‐Organism‐Response model to include both external (i.e. reputation) and internal source of information (i.e. website quality) as stimuli which affect consumers' response systems. The purpose of this paper is to test a more comprehensive model consisting of reputation and website quality (stimuli), cognition and emotion (organism) and purchase intention (response).

Design/methodology/approach

In total, 219 usable questionnaires were obtained at a large Midwestern university through online survey. Structural equation modeling (SEM) was employed for data analyses.

Findings

Reputation had a significant positive effect on consumers' emotion and significant negative effect on perceived risk. All four website quality dimensions had significant negative effects on perceived risk and significant positive effects on emotion, except for customer service. Perceived risk had a significant negative effect on consumers' emotion, and both perceived risk and emotion had a significant impact on purchase intention.

Research limitations/implications

This research employed convenience sampling, which resulted in a majority of female respondents. The results may be generalized to a limited extent.

Originality/value

This study allows for empirical examination of the different effects of various components of retail websites on emotion, perceived risk and behavioral intentions. This research will add value to the related literature by filling the void of previous research and also will provide practical implications for online retailers on designing and maintaining positive consumer response. Strength of the research lies in its ecological validity, since respondents were not simply all reacting to the same single stimulus.

Article
Publication date: 25 January 2013

Chin‐Lung Hsu, Judy Chuan‐Chuan Lin and Hsiu‐Sen Chiang

Blogging has become part of a consumer's decision making process when shopping online; however, the understanding of blog recommendation's effect on consumer purchase…

30423

Abstract

Purpose

Blogging has become part of a consumer's decision making process when shopping online; however, the understanding of blog recommendation's effect on consumer purchase decision is still vague. The purpose of this study is to examine whether the blog reader's trusting belief in the blogger is significant in relation to the perceived usefulness of the blogger's recommendations; and how the blog reader's perceptions influence his/her attitude and purchasing behavior online. The moderating effect of blogger's reputation on readers’ purchasing intentions is also tested.

Design/methodology/approach

Based on various theories, a model was proposed in this study. A survey involving 327 blog readers as participants was analyzed in the empirical study to investigate whether the usefulness of bloggers’ recommendations and trusting beliefs toward blogger had influence on consumers’ attitudes and behavioral intentions toward online shopping.

Findings

The results indicated that perceived usefulness of bloggers’ recommendations and trust had significant influential effect on blog users’ attitude towards and intention to shop online. Moreover, the findings showed that different determinants affected the users of perceived‐high‐reputation and perceived‐low‐reputation blogs.

Originality/value

The findings suggest bloggers’ electronic word‐of‐mouth (eWOM) to be a promising marketing strategy for increasing sales. The marketers should provide free trial products and services to the perceived‐high‐reputation bloggers who, as valued opinion leaders, will influence and prompt others to shop online through a trusting effect. As for perceived‐low‐reputation bloggers, the marketing strategists should strive to emphasize the usefulness of products and services being marketed, so these perceived‐low‐reputation bloggers can focus more on describing the advantages and benefits of products or services discussed in their blogs.

Details

Internet Research, vol. 23 no. 1
Type: Research Article
ISSN: 1066-2243

Keywords

Book part
Publication date: 26 August 2020

Ante Mandić, Smiljana Pivčević and Lidija Petrić

Building on a TripAdvisor data for five Mediterranean destinations, namely, Greece, Croatia, Italy, France and Spain, this study analyses the constituents of restaurants'…

Abstract

Building on a TripAdvisor data for five Mediterranean destinations, namely, Greece, Croatia, Italy, France and Spain, this study analyses the constituents of restaurants' online reputation and their interrelation with destination competitiveness, in particular two Travel and Tourism Competitiveness Index (TTCI) pillars, namely, Prioritisation of Travel and Tourism and Price Competitiveness.

The analysis has revealed that restaurants' online reputation is positively influenced by two factors, namely, Core elements, i.e. cooking, service and price-quality ratio, and Price. Furthermore, the restaurants' online reputation does not influence destination competitiveness (TTCI) directly, but indirectly throughout its main constituents, i.e. service and price. Price is the only variable with significant influence on overall TTCI. Within the sample of these destinations, Balkan countries, i.e. Greece and Croatia, perform very well in terms of their restaurants' online reputation. On the other hand, considering the overall TTCI rating, their competitive positions are substantially lower than those of Italy, France and Spain.

The study provides new insights into the relationship between gastronomic offer and destination competitiveness, and valuable practical implications for destination and hospitality management. Moreover, this study addresses various gaps in existing research on this topic. Specifically, it validates the reputation elements presented online using TripAdvisor data and analyses the impact of electronic Word of Mouth (eWOM) not only as the outcome variable of other constructs, as is the case in the literature, but also as a central construct of the analysis. In doing so, it extends current research on this topic and fills the gap regarding the inclusion of the supply-side stakeholder perspective, which has long been recognised as necessary in any attempts to measure competitiveness.

Details

Gastronomy for Tourism Development
Type: Book
ISBN: 978-1-78973-755-4

Keywords

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