Tag Writing, Search Engines, and Cultural Scripts

Hirsu, Lavinia

doi:10.1016/j.compcom.2015.01.002

Cited by 4 publications

(2 citation statements)

References 14 publications

(11 reference statements)

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“…Chao et al [21] Present an investigation of the participating agents when users search for information with search engines, especially studying the beliefs and risks that are taken in their searches Palos-Sanchez and Saura [5] Analyse the Ecosia sustainable search engine using the Unified Theory of Acceptance and Use of Technology (UTAUT) and then analysing the results with PLS-SEM (Partial Least Squares-Structural Equation Modelling) Rangaswamy et al [22] Research the different strategic perspectives of search engines from the point of view of sustainability and sustainable development Keirstead [23] Investigates the searches made with sustainable search engines and the user behaviour Liaw et al [24] Use the TAM with PLS to find what the users feel about the information found with different search engines Kamis and Stohr [25] Develop a PLS model to determine the importance of search engines when an online purchase is made, using factors such as purchase decision, trust or perceived utility, and the behaviour of different users 2 Complexity [29]. Jaca et al [30] showed the importance for businesses of considering society and users' respect for the environment.…”

Section: Authors Descriptionsmentioning

confidence: 99%

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Complexity in the Acceptance of Sustainable Search Engines on the Internet: An Analysis of Unobserved Heterogeneity with FIMIX‐PLS

2018

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This paper analyses the complexity of user behaviour when facing the challenge of using sustainable applications, such as Internet search engines. This paper analyses an acceptance model using extended TAM (Technology Acceptance Model) with Trust as an added external variable. It was suggested that Trust indirectly influences the final Intention to Use with the perceptions of Utility and Ease of Use. To test the proposed model, a survey was carried out with users from different geographical areas of Spain (n=445). The second aim of this study was to understand the complexity of marketing segmentation by separating the application users into different user groups. Users were grouped by their preference of favorite Internet search engine. Unobserved heterogeneity was studied using FIMIX-PLS, and three different user behaviours with search engines were identified. These corresponded to the number of inhabitants who live in the user area. In this way, the impact that the environment has on user choice, acceptance, and use of this type of sustainable applications was shown. The results were checked using PLS-SEM and showed that the model for the adoption of sustainable search engines is explanatory and predictive because confidence and acceptance for this TAM were validated. The conclusions are interesting for developers of environmentally sustainable and responsible applications which want to coincide with current trends to ensure that users prefer them.

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Section: Authors Descriptionsmentioning

confidence: 99%

“…In addition, Hirsu [29] investigated the cultural factors that influence the choice of search engine for different searches made by users. The behaviour of different types of users of search engines was investigated in order to determine behaviour patterns and consequently predict them [28].…”

Section: Authors Descriptionsmentioning

confidence: 99%