Social acceptance of location-based mobile government services for emergency management

Aloudat, Anas; Michael, Katina; Chen, Xi; Al-Debei, Mutaz M.

doi:10.1016/j.tele.2013.02.002

Cited by 111 publications

(101 citation statements)

References 36 publications

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“…The results demonstrate negative influences of consumer innovativeness and trust, and positive influence of collection of information on perceived risk, in support of previous research in general purchasing situations (e.g., Aloudat et al, 2014;Cheung and Lee, 2000;Conchar et al, 2004;Dholakia, 2001;Dowling and Staelin, 1994;Junglas and Spitzmüller, 2005;Kim, et al, 2008). Consumer innovativeness traits, which manifest in risk-taking tendency, are confirmed to decrease consumer perception about risk in mobile booking situations.…”

Section: Discussionsupporting

confidence: 87%

“…Trust is crucial in dealing with these uncertainties. Previous studies show that trust is negatively associated with perceived risk (e.g., Aloudat, Michael, Chen and Al-Debei, 2014;Cheung and Lee, 2000). This hypothesis has been confirmed in online shopping, where consumers' trust toward internet vendors is negatively associated with their perceived risk (Cheung and Lee, 2000), and in adoption of location-based services on mobile devices (Aloudat et al, 2014).…”

Section: Antecedents Of Perceived Riskmentioning

confidence: 94%

See 1 more Smart Citation

Multidimensional Facets of Perceived Risk in Mobile Travel Booking

Park

Tussyadiah

2016

Journal of Travel Research

168

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Despite the growing prevalence of smartphones in daily life and travel context, travellers still perceive an extent of risk associated with using their smartphone to book travel products. In order to alleviate or reduce perceived risk, it is important to better understand the dimensions of and the factors that contribute to perceived risk. This study analysed 411 responses from an online panel to examine perceived risk in mobile travel booking and identified the following facets: time risk, financial risk, performance risk, privacy/security risk, psychological risk, physical risk, and device risk. Several antecedents of perceived risk were identified. Perceived collection of personal information via smartphones contributes positively, while consumer innovativeness, trust, and visibility contribute negatively to perceived risk. Further, the predictive validity of perceived risk is confirmed as it significantly explains perceived usefulness, attitude, and behavioural intention in mobile travel booking. Implications to manage perceived risk and its antecedents are provided.

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Section: Discussionsupporting

confidence: 87%

Section: Antecedents Of Perceived Riskmentioning

confidence: 94%

Multidimensional Facets of Perceived Risk in Mobile Travel Booking

Park

Tussyadiah

2016

Journal of Travel Research

168

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“…In this way, research has been done on adoption of mobile telecommunication services [60], mobile cloud computing [61,62], and LBS [32,33,36,63,64]. Of all the well-known adoption models, we especially highlight published research papers where TAM is applied to LBS [10,36,49,65,66] or to mobile devices [67].…”

Section: Hypothesis 5 (H5)mentioning

confidence: 99%

“…As for the adoption of LBS systems, authors mention social and environmental benefits (e.g., [65,79,80]), tourism [36,63], overall benefit perceptions of the system or financial gains for consumers [80] or effect of perceived value [81].…”

Section: External Variables: Social and Environmental Benefitsmentioning

confidence: 99%

The Behavioral Response to Location Based Services: An Examination of the Influence of Social and Environmental Benefits, and Privacy

2017

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Abstract:Given the importance tourism has in many economies, this research was designed to study how the social and environmental benefits of Location Based Services (LBS) in the tourism sector influence user behavior and thus contribute to sustainable development. The objective has been to study LBS as a solution that makes the deployment of tourism activities easier, more useful and improves attitudes towards it, but in a context where trust in privacy and benefits-based sustainable social and environmental development are key. To achieve this, this research identifies what could be the influence factors in the adoption of mobile applications with Location Based Services from the point of view of the tourism sector, especially if the social and environmental benefits of LBS can help improve usage behavior. We investigated the technological acceptance of LBS in tourism, using Technology Acceptance Model (TAM) as a solid model to explain its adoption. Nine hypotheses were investigated by carrying out a survey of travelers (n = 277) during their visit to Seville (Spain). To test the conceptual model's hypotheses, the Partial Least Squares (PLS) technique was applied to estimate variance-based structural equations models (SEM).The results of this study indicated that tourists are willing to accept these LBS services within a particular adoption model, where trust in privacy and social and environmental benefits are paramount.

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“…The service of m-Government can be regarded as being a strategy. Its application contains inter alia: the complete employment of all sorts of wireless and the technology of mobile phones; the implementations and the tools to improve the advantages pertaining to the parties participating in m-government involving the national people of the country; businesses and the units of the government; reduction of cost; effectiveness; transformation of the organizations of the public sector; adding convenience and flexibility; improving services for the citizens; and the capability of accessing more people via mobile phones compared to the wired Internet (Abdelghaffar and Magdy, 2012;Aloudat et al, 2014;Althunibat et al, 2011). The aforementioned advantages could be classified within three sets of advantages: advantages to the government, the national people and the industry (Alsenaidy and Ahmad, 2012;Madden et al, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%