Search results

Effects of stockouts on purchase decisions have been examined from a variety of perspectives; little is yet known about how consumers react to stockouts in online shopping contexts. The present study investigates how stockout reactions depend on a consumer's mindset and familiarity with a website and investigates the role of negative affect in determining a consumer's stockout reaction.

Shopping mindsets (deliberative vs. implemental) and website familiarity (high vs. low) were manipulated in an online experiment consisting of a simulated shopping task at an existing website which next was presented as having a stockout. The study observed the participants' switching responses and measured their negative affect.

Findings indicate that when encountering an online stockout, consumers in an implemental mindset are more likely to switch away from the website than those in a deliberative mindset and are more likely to search for additional items at a competing site. Consumers who are more familiar with the website where they encounter the stockout display a higher likelihood of defecting to a competing site; however, when they are in an implemental mindset, their inclination to defect decreases. The study also shows that the strength of negative emotions affects OOS responses in that buyers that experience more negative emotions are more likely to defect from the site.

The study's findings provide suggestions as to how retailers can manage and minimize defection behaviours associated with online stockouts. In designing operational and marketing strategies retailers need to pay close attention to how consumers' individual mindsets may vary by trait or circumstance and how they hence may respond differently to stockouts.

The authors introduce a novel perspective to the literature on stockout induced reactions and contribute by furthering investigation into previously unexplored specific consumer characteristics and intricacies of stockouts that drive particular stockout reactions.

Modern browsers are designed to inform users as to whether it is secure to login to a website, but most users are not aware of this information and even those who are sometimes ignore it. This study aims to assess users’ knowledge of security warnings communicated via browser indicators and the likelihood that their online decision-making adheres to this knowledge.

Participants from Amazon’s Mechanical Turk visited a series of secure and insecure websites and decided as quickly and as accurately as possible whether it was safe to login. An online survey was then used to assess their knowledge of information security.

Knowledge of information security was not necessarily a good predictor of decisions regarding whether to sign-in to a website. Moreover, these decisions were modulated by attention to security indicators, familiarity of the website and psychosocial stress induced by bonus payments determined by response times and accuracy.

Even individuals with security knowledge are unable to draw the necessary conclusions about digital risks when browsing the web. Users are being educated through daily use to ignore recommended security indicators.

This study represents a new way to entice participants into risky behavior by monetizing both speed and accuracy. This approach could be broadly useful as a way to study risky environments without placing participants at risk.

Consumer-perceived review attitude determines consumer overall information adoption and is a core part of consumer’s online-shopping. This study aims to focus on factors that could influence consumer review attitude and can be used by marketers to shape individual information perception.

The study used the questionnaire method to collect data from online shoppers and the modelling of structural equations as an empirical approach to analyse the data.

The findings demonstrate that both systematic and heuristic cues impact the reviewer’s credibility and perceived website attitude differently, which, in turn, influence review attitude. Review characteristics, such as factuality, consistency and relevancy, have a positive relationship with reviewer credibility, while only review consistency and relevancy appears to have a relationship with review attitude. Website characteristics such as reputation, familiarity and social interactivity positively influence the website attitude, which positively influences review attitude. Apart from this, review skepticism has a significant negative relationship with review attitude.

This study could help to foster a positive attitude towards online reviews. Digital marketers need to motivate trusted reviewers to post consistent, fact-based reviews. Further improving the overall website reputation and interactivity could bring a positive attitude towards the reviews. Also, digital marketers must filter and avoid contradictory reviews or reviews that have a bipolar message and reviews expressing numerous emotions to enhance review relevance and consistency.

The current study addresses the need to understand the formation of consumer review attitude through both review and website characteristics using heuristic – systematic model. The paper captures the complex process undergone by the consumer to decipher review attitude and thereby extend the understanding of consumer information processing.

This study aims to examine the antecedents of privacy concerns in the era of artificial intelligence. Specifically, it focuses on the impact of various factors related to interactions with a chatbot (creepiness and perceived risk) and individual traits (familiarity with chatbots and need for privacy) in relation to privacy when interacting with a chatbot in the context of financial services. The moderating effect of gender on these relationships was also examined.

A total of 430 Canadians responded to an online questionnaire after interacting with a chatbot in the context of a simulated auto insurance quote. A structural equation model was used to test the hypotheses.

The results showed that privacy concerns are influenced primarily by creepiness, followed by perceived risk and the need for privacy. The last two relationships are moderated by gender. Conversely, familiarity with chatbots does not affect privacy concerns in this context.

This study is the first to consider the influence of creepiness as an antecedent of privacy concerns arising from interactions with AI tools and highlight its key impacts. It also shows how gender moderates specific relationships in this context.

The rapid growth of e-commerce and the increasing importance of online services have prompted the need for managers to understand what consumers value most in online transactions and how to measure electronic service quality (E-SQ). This study aims to conduct a comprehensive review of relevant research publications in the Gulf Cooperation Council countries and propose an agenda for future research to enhance this knowledge.

The study uses a blended approach between the PRISMA-ScR methodology and Tranfield et al.’s (2003) approach to ensure a rigorous and thorough review of the literature.

By identifying the antecedents and outcomes of E-SQ, this study develops a classification framework that highlights the main gaps in the current literature and provides guidance for future research in the region.

The findings presented in this paper contribute to the knowledge base for management professionals seeking to enhance E-SQ in practice.

To the best of the authors’ knowledge, this is the first paper to summarize the state of E-SQ in the Gulf region.

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.

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

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.

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.

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.

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.

Although high-profile sport league website sponsorships have increased in popularity over the last decade, academic research on the topic has not kept pace, resulting in little knowledge of ways to improve the effectiveness of this sponsorship type. This paper aims to discuss this issue.

The current study examined the influence of three website-related variables (i.e. website interactivity, website fit, and website credibility), while controlling for a sponsor-related variable (i.e. sponsor familiarity), on consumer attitude toward the sponsor ad and willingness to click on its banner ad. Hierarchical multiple regression analyses indicated three main effects. Practical implications are discussed with limitations and suggestions for future research.

This study found three important things. First, website interactivity played an important role in attitude toward the ad and willingness to click on the banner ad. Second, website fit influenced attitude toward the ad and willingness to click on the banner ad. Third, website credibility influenced attitude toward the ad.

The findings suggest that in order to maximize online sports sponsorship outcomes, companies must keep in mind that the interactivity between the web users and the site should be regarded as the most pragmatic result which could come from the online sports sponsorship territory.

The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example.

An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform.

The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention.

The findings can be used to guide e-finance providers to improve their platform design and services to retain users.

This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

Taking into consideration external (technology acceptance factors, website service quality) as well as internal (specific holdup cost) factors, this paper aims to explore how internet customer satisfaction and loyalty can be associated with each other and how they are affected by these dynamics.

This study adopts structural equation modelling (SEM) as the main analytical tool. It investigates the shopping experiences of users of the major shopping websites of Taiwan.

The research results point to the following: first, customer e‐satisfaction will positively influence customer e‐loyalty directly; second, technology acceptance factors will positively influence customer e‐satisfaction and e‐loyalty directly; third, website service quality can positively influence customer e‐satisfaction and e‐loyalty directly; and fourth, specific holdup cost can positively influence customer e‐loyalty directly, but cannot positively influence customer e‐satisfaction directly.

This paper draws on the research results for implications for shopping website management and design, then suggests some ways to enhance performance for the website shopping industry.

Little empirical attention has been paid to the effects of electronic word-of-mouth (eWOM), electronic referral (eReferral), familiarity and cultural distance on behavioral outcomes, especially within the context of educational tourism. Based on the social network theory, this paper aims to explore the effects of eReferral, eWOM, familiarity and cultural distance on enrollment intention.

Survey data (n = 931) were obtained from educational tourists using a judgmental sampling technique. Linear modeling and artificial intelligence (i.e. artificial neural network [ANN]) techniques were used for training and testing the proposed associations.

The results suggest that eReferral, eWOM, familiarity and cultural distance predict intention to enroll both symmetrically (linear modeling) and asymmetrically (ANN). The asymmetric modeling possesses greater predictive validity and relevance.

This study contributes theoretically and methodologically to the management literature by validating the proposed relationships and deploying contemporary methods such as the ANN. Implications for practice and theory are discussed.

是否在线推荐, 在线口碑, 熟悉度, 还有文化距离决定参加意图吗？人工智能科技的应用

很少有研究检测过在线口碑（eWOM）, 在线推荐（eReferral）, 熟悉度, 和文化距离对行为结果的影响, 特别是在教育旅游的领域里。本论文基于社交网络理论探索eReferral, eWOM, 熟悉度, 和文化距离对参加意图的作用。

研究样本数据为931位教育旅游的游客, 通过判断抽样技术。本论文通过线性建模和人工智能（即人工神经网络）技术来培训和检测提出的关系。

研究结果表明, eRefferal, eWOM, 熟悉度, 和文化距离对参与意图起到决定作用, 其中包括对称（线性建模）和非对称地（人工神经网络）方式。非对称建模将增加有效性和相关性的决定度。

本论文通过证实提出的关系和采用现代方法, 比如人工神经网络, 对管理文献做出理论和实践的贡献。本论文还讨论了对实践和理论的启示。