Exploration of Location-Based Services Adoption

McKenna, Brad; Tuunanen, Tuure; Gardner, Lesley A.

doi:10.4018/978-1-4666-9845-1.ch062

Cited by 2 publications

(3 citation statements)

References 63 publications

(39 reference statements)

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“…Customer intention and willingness has been always identified as a basic requirement of the individuals' actual behaviour in adopting a new system and technology (see Ajzen, 1991;Alalwan et al, 2017;Venkatesh et al, 2003). In the prior literature of mobile technologies, there are a large number of studies that have supported the role of behavioural intention on the actual use behaviour (see Alkhunaizan and Love, 2013;Gao and Deng, 2012;Lim et al, 2011;McKenna et al, 2011;Venkatesh et al, 2012;Wiratmadja et al, 2012;Yun et al, 2013;Zheng et al, 2012). Therefore, the following hypothesis is:…”

Section: Behavioural Intention (Bi 12 )mentioning

confidence: 99%

Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust

Alalwan

Baabdullah

Rana

et al. 2018

Technology in Society

321

188

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Mobile internet represents a breakthrough technology that has derived much attention from mobile organizations and services providers in the Kingdom of Saudi Arabia (KSA) 1. However, the level of acceptance of mobile internet in the KSA is still below the level of ambition. This is in addition to the fact that there is a considerable need to discover the main factors shaping Saudi customers' intention and adoption of such a mobile system. For this reason, this study is conducted in the hope of providing further understanding about the adoption of mobile internet in the KSA. The extension version of Technology Acceptance Model TAM 2 with perceived enjoyment was adopted as a theoretical foundation of the current study model. This was expanded by considering two additional factors: innovativeness and trust. The main empirical data collected through questionnaires was analysed using structural equation modelling (SEM) 3. Perceived usefulness, perceived enjoyment, trust, and innovativeness are statistically supported to have a significant impact on the Saudi customer intention to adopt mobile internet. Further discussion regarding the main contribution as well as research limitations and future directions are presented at the end of this paper.

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Section: Behavioural Intention (Bi 12 )mentioning

confidence: 99%

Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust

Alalwan

Baabdullah

Rana

et al. 2018

Technology in Society

321

188

View full text Add to dashboard Cite

show abstract

“…Surprisingly, GIS and location analytics have not gained much attention in the Information Systems (IS) discipline, apart from applications in location-based services (LBS) [8,9]. The data gathered in these systems-including an entity's geographic positionare processed and analyzed by filtering, selecting, compiling, or creating valuable information [10]. Individual service consumption and the overall value of service are optimized for LBS [10,11], which is documented by a wide range of theories and IT artifacts related to LBS.…”

Section: Introductionmentioning

confidence: 99%

“…The data gathered in these systems-including an entity's geographic positionare processed and analyzed by filtering, selecting, compiling, or creating valuable information [10]. Individual service consumption and the overall value of service are optimized for LBS [10,11], which is documented by a wide range of theories and IT artifacts related to LBS. However, most of these services use geospatial data of moving objects, e.g., people and devices, with common examples including rental services, mobile advertising, and turn-by-turn navigation.…”

Section: Introductionmentioning

confidence: 99%

Utilizing Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution Grid

Heiden¹,

Priefer²,

Beverungen³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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The energy distribution grid is a critical infrastructure challenged with shifting requirements induced by the skyrocketing importance of green energy. Particularly, legacy assets-such as mediumvoltage switchgear cabinets and circuit breakersneed to be maintained to prevent energy outages and reduce resource consumption. While related research has abundantly presented algorithms for conditionbased maintenance, no design knowledge is available to prescribe how an information system for this purpose ought to be designed. In a design science research project, we develop an information system for condition-based maintenance of legacy assets in the medium voltage distribution grid that utilizes geospatial data. Our design integrates Enterprise Resource Planning (ERP) functionality with Geographic Information Systems (GIS) and a Machine Learning System (MLS) for predicting outages. We demonstrate a current proof-of-concept and conclude by presenting a set of theoretical hypotheses that can guide the evaluation once the system is available.

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Exploration of Location-Based Services Adoption

Abstract: Abstract

Cited by 2 publications

References 63 publications

Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust

Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust

Utilizing Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution Grid

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