Overlaying social information: The effects on users’ search and information-selection behavior

Orso, Valeria; Ruotsalo, Tuukka; Leino, Jukka; Gamberini, Luciano

doi:10.1016/j.ipm.2017.06.001

Cited by 31 publications

(24 citation statements)

References 22 publications

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“…The formulation of these hypotheses allows us to study the adoption behavior for the search engines by users and empirically demonstrates the relationship between Behavioral Intention to Use search engines and the Use Behavior for search engines. Previous studies [4,30,35,[59][60][61][62] have defined the Behavioral Intention to Use search engines as the attitude, beliefs, and perceptions of a person about using a technology, and the Use Behavior as the actual use that a user makes of the technology. In research by Liaw [59], the Behavioral Intention to Use is applied to the study of search engines.…”

Section: Hypothesismentioning

confidence: 99%

“…Social influence is defined in the research of Orso et al [60] and is identified as the extent to which consumers believe that other important members in their lives, such as family members, friends, and other colleagues, believe that they should use a particular technology. Studies have been made on the relationship between the influence that this generates in use behavior when using one search engine or another [26,51].…”

Section: Hypothesismentioning

confidence: 99%

“…However, the strongest social influences are the reasons why consumers perceive technology as more useful, influencing intention to use [34] and determining the option of adopting a new product [59]. These facts are studied by Orso et al [60] for search engines.…”

Section: Hypothesismentioning

confidence: 99%

“…It is a new variable in the UTAUT2 model and has been used in various investigations as a predictor for behavioral intention to use [47,60,64,66] and has been shown to have a decisive influence on it. As a result, we consider that: Hypothesis 7.…”

Section: Hypothesismentioning

confidence: 99%

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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: Hypothesismentioning

confidence: 99%

Section: Hypothesismentioning

confidence: 99%

Section: Hypothesismentioning

confidence: 99%

Section: Hypothesismentioning

confidence: 99%

See 2 more Smart Citations

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

Palos-Sánchez

Saura

2018

Forests

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“…Despite the importance of information searches, our understanding of users' search behavior has mostly been based on controlled laboratory studies (Jiang, He, & Allan, ; Mitsui, Shah, & Belkin, ; Orso, Ruotsalo, Leino, Gamberini, & Jacucci, ; Vakkari, ), interviews or diary studies (Church, Cherubini, & Oliver, ; Church & Smyth, ; Sohn, Li, Griswold, & Hollan, ; Teevan, Alvarado, Ackerman, & Karger, ), large‐scale search engine log analysis (Broder, ; Jansen, Spink, & Saracevic, ; Silverstein, Marais, Henzinger, & Moricz, ), and log‐analysis of naturalistic information‐seeking behavior (Kelly, , ).…”

Section: Introductionmentioning

confidence: 99%