Analyzing the factors that affect the adoption of mobile services in Taiwan

Shieh, Lon-Fon; Chang, Tao-Hsing; Fu, Hsin‐Pin; Lin, Sheng-Wei; Chen, Ying-Yen

doi:10.1016/j.techfore.2013.11.004

Cited by 34 publications

(30 citation statements)

References 42 publications

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“…In this regard, the Fuzzy MCDM approaches are lately capturing increasing attention lately due to their capability of assessing the priorities of decision elements while considering the vagueness and ambiguity of human judgements (Ishizaka, ; Mardani, Jusoh, & Zavadskas, ; Shaverdi, Heshmati, & Ramezani, ). For example, Cho and Lee () implemented FAHP to prioritize factors in a new technology product assessment model, whereas Shieh, Chang, Fu, Lin, and Chen () developed it to analyse the importance of several factors in the adoption of mobile services in Taiwan. Mainly, in these studies, FAHP has been used for evaluating the criteria weights under uncertainty whereas another approach that uses those weights is applied to ranking the alternatives.…”

Section: Primary Studies From the Literaturementioning

confidence: 99%

Selecting the most suitable classification algorithm for supporting assistive technology adoption for people with dementia: A multicriteria framework

Ortíz‐Barrios

Nugent

Cleland

et al. 2019

Multi Criteria Decision Anal

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The number of people with dementia (PwD) is increasing dramatically. PwD exhibit impairments of reasoning, memory, and thought that require some form of self‐management intervention to support the completion of everyday activities while maintaining a level of independence. To address this need, efforts have been directed to the development of assistive technology solutions, which may provide an opportunity to alleviate the burden faced by the PwD and their carers. Nevertheless, uptake of such solutions has been limited. It is therefore necessary to use classifiers to discriminate between adopters and nonadopters of these technologies in order to avoid cost overruns and potential negative effects on quality of life. As multiple classification algorithms have been developed, choosing the most suitable classifier has become a critical step in technology adoption. To select the most appropriate classifier, a set of criteria from various domains need to be taken into account by decision makers. In addition, it is crucial to define the most appropriate multicriteria decision‐making approach for the modelling of technology adoption. Considering the above‐mentioned aspects, this paper presents the integration of a five‐phase methodology based on the Fuzzy Analytic Hierarchy Process and the Technique for Order of Preference by Similarity to Ideal Solution to determine the most suitable classifier for supporting assistive technology adoption studies. Fuzzy Analytic Hierarchy Process is used to determine the relative weights of criteria and subcriteria under uncertainty and Technique for Order of Preference by Similarity to Ideal Solution is applied to rank the classifier alternatives. A case study considering a mobile‐based self‐management and reminding solution for PwD is described to validate the proposed approach. The results revealed that the best classifier was k‐nearest‐neighbour with a closeness coefficient of 0.804, and the most important criterion when selecting classifiers is scalability. The paper also discusses the strengths and weaknesses of each algorithm that should be addressed in future research.

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Section: Primary Studies From the Literaturementioning

confidence: 99%

Selecting the most suitable classification algorithm for supporting assistive technology adoption for people with dementia: A multicriteria framework

Ortíz‐Barrios

Nugent

Cleland

et al. 2019

Multi Criteria Decision Anal

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“…The role of Information technology (IT) is significantly increasing in business development where many fields such as learning, shopping, marketing, travel, trading become online with assistance of IT [6,7]. Advancements in Internet and communication technology transformed the world.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Advancements in Internet and communication technology transformed the world. The combination of information and communication technology is showing enormous changes across the world [7]. The dramatic changes emerged in 1995, when e-commerce, ebusiness, and m-business (mobile business) have grown tremendously.…”

Section: Literature Reviewmentioning

confidence: 99%

“…IT facilitates business customer to access services globally, such as internet, and mobile services [7,8]. According to Zhou [9] telecommunication sector, using internet through mobiles, and doing business become inseparable.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The term "experience" can be made more specific to focus upon different aspects related to the information system (e.g., computing, training) [13]. Previous studies have reported many criteria to get high performance online service and achieved user satisfaction, however, the study by [7] saw that some of those criteria may waste the limited resource of firms and there is a need for new approach to minimize those criteria and focus on most critical criteria. However, the limited resource may not be considerable issue to the mobile communication providers in Kuwait.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Mobile Online Services and Measuring User Satisfaction: Study of Kuwait

Alzabi¹,

Shah²

2014

2014 3rd International Conference on Advanced Computer Science Applications and Technologies

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User satisfaction is the key of success for any company to succeed and flourish business. Due to tremendous competition among service providers in the online sectors, many competitors feel threaten to be marginalized and loose competitive edge, and so is the profit margin. For many companies to survive business in a highly completive environment, user satisfaction may be such factor to achieve lead over others. User satisfaction is a strong construct that emphasize on factors such as information quality, system quality, and service quality as its key parameters. This study aims to measure user satisfaction for online services provided by mobile companies in Kuwait and to develop a multi-scale model and assess its applicability in Kuwait scenario. This study involves exploratory factor analysis method to measure user satisfaction. The result showed that service quality, system quality, information quality are apex variable for user satisfaction for companies who compete in Kuwait in telecom sector.

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Examining categorization of Telecom Circles in India using unsupervised k-means clustering on techno-economic indicators

Jha

Saha

2019

Decision

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Analyzing the factors that affect the adoption of mobile services in Taiwan

Cited by 34 publications

References 42 publications

Selecting the most suitable classification algorithm for supporting assistive technology adoption for people with dementia: A multicriteria framework

Selecting the most suitable classification algorithm for supporting assistive technology adoption for people with dementia: A multicriteria framework

Mobile Online Services and Measuring User Satisfaction: Study of Kuwait

Examining categorization of Telecom Circles in India using unsupervised k-means clustering on techno-economic indicators

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