Predicting the adoption of cloud-based technology using fuzzy analytic hierarchy process and structural equation modelling approaches

Yadegaridehkordi, Elaheh; Nasir, Mohd Hairul Nizam Md; Noor, Nurul Fazmidar Mohd; Shuib, Liyana; Badie, Nasrin

doi:10.1016/j.asoc.2017.12.051

Cited by 42 publications

(18 citation statements)

References 28 publications

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“…For instance, Lin () combined the FAHP approach with VIKOR to find optimal solutions for mobile technology adoption in travel agencies. Additionally, Yadegaridehkordi, Nasir, Noor, Shuib, and Badie () integrated FAHP and structural equation modelling approaches for predicting the adoption of cloud‐based technology in the educational context. Nevertheless, FAHP has not been adopted together with TOPSIS for supporting technology adoption.…”

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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“…Fuzzy AHP is one of the most well-known MCDM methods that manages uncertainty and vagueness in criteria and decision-making problems, and it can be flexible and easy to utilize [84,85]. Fuzzy AHP is extremely efficient and applicable in real-world conditions where uneven pairwise comparison is quite common [86,87]. Using fuzzy AHP, any complex problem is decomposed into dissimilar hierarchical levels of criteria, and a sequence of pairwise judgments are performed to uncover the rank of criteria [88].…”

Section: Fuzzy Ahpmentioning

confidence: 99%

Decision to Adopt Neuromarketing Techniques for Sustainable Product Marketing: A Fuzzy Decision-Making Approach

et al. 2020

Self Cite

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Sustainable products and their marketing have played a crucial role in developing more sustainable consumption patterns and solutions for socio-ecological problems. They have been demonstrated to significantly decrease social consumption problems. Neuromarketing has recently gained considerable popularity and helped companies generate deeper insights into consumer behavior. It has provided new ways of conceptualizing consumer behavior and decision making. Thus, this research aims to investigate the factors influencing managers’ decisions to adopt neuromarketing techniques in sustainable product marketing using the fuzzy analytic hierarchy process (AHP) approach. Symmetric triangular fuzzy numbers were used to indicate the relative strength of the elements in the hierarchy. Data were collected from the marketing managers of several companies who have experience with sustainable product marketing through online shopping platforms. The results revealed that the accuracy and bias of neuromarketing techniques have been the main critical factors for managers to select neuromarketing in their business for advertising and branding purposes. This research provides important results on the use of neuromarketing techniques for sustainable product marketing, as well as their limitations and implications, and it also presents useful information on the factors impacting business managers’ decision making in adopting neuroscience techniques for sustainable product development and marketing.

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“…Among the benefits are the scalability of the business, reduced IT costs, access flexibility, and strategic value. [12][13][14] A study by Amron et al 15 revealed that the Malaysian government had managed to save government spending up to half of the original cost of developing and maintaining conventional data centers.…”

Section: Cloud Computing Backgroundmentioning

confidence: 99%

Acceptance of cloud computing in the Malaysian public sector: A proposed model

Amron

Ibrahim

Bakar

et al. 2019

International Journal of Engineering Business Management

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The Malaysian government has initiated a cloud government project as an integration of cloud computing and unified communication-based applications toward the digital and cloud work environment. However, the impact studies have found that the implementation of this project has several weaknesses such as lack of infrastructure support, weak IT knowledge, and lack of awareness among public sector employees causing applications not to be fully utilized. Therefore, it is crucial to conduct a study to measure the acceptance of government cloud project because there has been much investment in the project. This study applied Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Readiness Index (TRI) and several factors to develop the research model which is divided into two main factors: technological and human. The technological factor might determine the likelihood of its acceptance by the public sector and might stimulate them to accept it. The human factor as the characteristics of the people in the public sector that may contribute to creating the need for and ability to accept cloud computing. This proposed model will be used to evaluate the individual acceptance of cloud computing in the Malaysian public sector. For future work, this model needs to be enriched with interview sessions and quantitative surveys to validate the findings.

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Predicting the adoption of cloud-based technology using fuzzy analytic hierarchy process and structural equation modelling approaches

Cited by 42 publications

References 28 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

Decision to Adopt Neuromarketing Techniques for Sustainable Product Marketing: A Fuzzy Decision-Making Approach

Acceptance of cloud computing in the Malaysian public sector: A proposed model

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