Can visible cues in search results indicate vendors' reliability?

Ma, Zhongming; Sheng, Olivia R. Liu; Pant, Gautam; Iriberri, Alicia

doi:10.1016/j.dss.2011.12.002

Cited by 9 publications

(6 citation statements)

References 29 publications

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“…In the conclusions of different investigations, like those of [54,55] or [56], the results explain that consumers or users find the technology easy to use (lower expectation of effort). Users also believe that technology is useful (greater expectation of utility) and, therefore, the expectation of effort is similar to the Utility perceived in TAM [34].…”

Section: Variables and Hypotheses Developmentmentioning

confidence: 95%

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The Effect of Internet Searches on Afforestation: The Case of a Green Search Engine

Palos-Sánchez

Saura

2018

Forests

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Abstract:Ecosia is an Internet search engine that plants trees with the income obtained from advertising. This study explored the factors that affect the adoption of Ecosia.org from the perspective of technology adoption and trust. This was done by using the Unified Theory of Acceptance and Use of Technology (UTAUT2) and then analyzing the results with PLS-SEM (Partial Least Squares-Structural Equation Modeling). Subsequently, a survey was conducted with a structured questionnaire on search engines, which yielded the following results: (1) the idea of a company helping to mitigate the effects of climate change by planting trees is well received by Internet users. However, few people accept the idea of changing their habits from using traditional search engines; (2) Ecosia is a search engine believed to have higher compatibility rates, and needing less hardware resources, and (3) ecological marketing is an appropriate and future strategy that can increase the intention to use a technological product. Based on the results obtained, this study shows that a search engine or other service provided by the Internet, which can be audited (visits, searches, files, etc.), can also contribute to curb the effects of deforestation and climate change. In addition, companies, and especially technological start-ups, are advised to take into account that users feel better using these tools. Finally, this study urges foundations and non-governmental organizations to fight against the effects of deforestation by supporting these initiatives. The study also urges companies to support technological services, and follow the behavior of Ecosia.org in order to positively influence user satisfaction by using ecological marketing strategies.

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Section: Variables and Hypotheses Developmentmentioning

confidence: 95%

“…The expectation of effort is defined by Venkatesh et al [9] as the ease associated with the use of technology by users of ICT-based services. This value is related to the quality of the expected results shown by Internet search engines in [54][55][56].…”

Section: Variables and Hypotheses Developmentmentioning

confidence: 99%

The Effect of Internet Searches on Afforestation: The Case of a Green Search Engine

Palos-Sánchez

Saura

2018

Forests

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“…The articles identified in the systematic literature review address the impact of information display (Ma et al, 2013;Rieder & Sire, 2014;Sonntag, 2015;Ursu, 2018), search results position (Chen & He, 2011;Kulkarni et al, 2012;Jerath et al, 2014;Baye et al, 2016), trust (Jeacle & Carter, 2011) and review manipulation (Luca et al, 2015). According to Ma et al (2012), search engines play a critical role in the diffusion of online information, as they determine what content is available to Internet users. Major search engines, such as Google, Microsoft Live Search and Yahoo!, provide two distinct types of resultsorganic and paideach of which uses different mechanisms for selecting and ranking relevant webpages.…”

Section: Search Informationmentioning

confidence: 99%

The impact of online platform transparency of information on consumers’ choices

Veltri

Lupiáñez‐Villanueva

Folkvord

et al. 2020

Behav. Public Policy

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Millions of Europeans use online platforms with almost blind trust that the platforms operate in the interests of the consumer. However, the presentation of search results, transparency about contractual parties and the publication of user reviews that contribute to the value of online platforms in Europe's Single Digital Market also pose significant risks regarding consumer protection and market competition. The current study investigates how enhanced information transparency in online platforms might affect consumers’ trust in online activities and choice behaviour. Following an exploratory qualitative study, three online discrete-choice experiments were conducted with representative samples of 1200 respondents in each of four countries: Germany, Poland, Spain and the UK. The objective of the experiments was to test whether increased transparency in the presentation of online search information, details of contractual entities and the implications for consumer protection and user reviews and ratings would affect consumers’ choices. The results show that increased online transparency increases the probability of product selection. A comparison across the four countries found that the similarities in responses to online transparency were far greater than the differences. The findings are discussed in relation to the biases and heuristics identified in behavioural science. In conclusion, recommendations are made to increase online transparency, which the empirical evidence of this study shows would benefit both users and platform operators.

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“…For instance, a user's email load can impact his or her response rate to phishing email-based attacks (Vishwanath et al 2011). For search engines, clickthrough rates and user trust are higher for web pages that are ranked higher in search results (Bar-Ilan et al 2009, Kaushik 2011, Ma et al 2012, which in turn leads to online scammers expending effort to influence search result placement (Wang et al 2011).…”

Section: Susceptibility Factors Incorporated In Pfmmentioning

confidence: 99%

The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites

Abbasi

Dobolyi

Vance

et al. 2021

Information Systems Research

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Phishing is a significant security concern for organizations, threatening employees and members of the public. Phishing threats against employees can lead to severe security incidents, whereas those against the public can undermine trust, satisfaction, and brand equity. At the root of the problem is the inability of Internet users to identify phishing attacks even when using anti-phishing tools. We propose the phishing funnel model (PFM), a framework for predicting user susceptibility to phishing websites. PFM incorporates user, threat, and tool-related factors to predict actions during four key stages of the phishing process: visit, browse, consider legitimate, and intention to transact. We evaluated the efficacy of PFM in a 12-month longitudinal field experiment in two organizations involving 1,278 employees and 49,373 phishing interactions. PFM significantly outperformed competing models in terms of its ability to predict user susceptibility to phishing attacks. A follow-up three-month field study revealed that employees using PFM were significantly less likely to interact with phishing threats relative to comparison models and baseline warnings. Results of a cost-benefit analysis suggest that interventions guided by PFM could reduce annual phishing-related costs by nearly $1,900 per employee relative to comparison prediction methods.

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Can visible cues in search results indicate vendors' reliability?

Cited by 9 publications

References 29 publications

The Effect of Internet Searches on Afforestation: The Case of a Green Search Engine

The Effect of Internet Searches on Afforestation: The Case of a Green Search Engine

The impact of online platform transparency of information on consumers’ choices

The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites

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