Analysis of adopting an integrated decision making trial and evaluation laboratory on a technology acceptance model

Lee, Yu-Cheng; Li, Meilan; Yen, Tieh‐Min; Huang, Ting-Ho

doi:10.1016/j.eswa.2009.07.034

Cited by 140 publications

(87 citation statements)

References 33 publications

(54 reference statements)

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“…The DEMATEL method can convert complex systems into a clear causal structure which simplifies the interrelationships among consideration factors; as a consequence it assists in locating the core issues and quantifies their causality and influence strength [64,65]. In recent years, the DEMATEL method has been popularly applied in diverse fields including decision-making [66,67], technology innovation [68,69] research [71], marketing and consumer behavior [72], and competence and performance evaluation [73], etc. As the experts of disaster recovery site selection are understandably limited and our research goal is to identify the causation and influence strengths of the consideration factors, we employed the quantitative DEMATEL method in this research.…”

Section: Dematel Methodsmentioning

confidence: 99%

Key Determinant Derivations for Information Technology Disaster Recovery Site Selection by the Multi-Criterion Decision Making Method

2015

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Disaster recovery sites are an important mechanism in continuous IT system operations. Such mechanisms can sustain IT availability and reduce business losses during natural or human-made disasters. Concerning the cost and risk aspects, the IT disaster-recovery site selection problems are multi-criterion decision making (MCDM) problems in nature. For such problems, the decision aspects include the availability of the service, recovery time requirements, service performance, and more. The importance and complexities of IT disaster recovery sites increases with advances in IT and the categories of possible disasters. The modern IT disaster recovery site selection process requires further investigation. However, very few researchers tried to study related issues during past years based on the authors' extremely limited knowledge. Thus, this paper aims to derive the aspects and criteria for evaluating and selecting a modern IT disaster recovery site. A hybrid MCDM framework consisting of the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP) will be proposed to construct the complex influence relations between aspects as well as criteria and further, derive weight associated with each aspect and criteria. The criteria with higher weight can be used for evaluating and selecting the most suitable IT disaster recovery sites. In the OPEN ACCESSSustainability 2015, 7 6150 future, the proposed analytic framework can be used for evaluating and selecting a disaster recovery site for data centers by public institutes or private firms.

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Section: Dematel Methodsmentioning

confidence: 99%

Key Determinant Derivations for Information Technology Disaster Recovery Site Selection by the Multi-Criterion Decision Making Method

2015

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“…If all high carbon emission plants can be managed inside one uniformed system, extra carbon emission caused by plants moving can be avoided. Current ETS pilots are tested in several provinces and cities, and the national ETS should be constructed as soon as possible [49,50].…”

Section: Policy Implicationmentioning

confidence: 99%

Carbon Footprints and Embodied Carbon Flows Analysis for China’s Eight Regions: A New Perspective for Mitigation Solutions

Xie

Cai

Jiang³

et al. 2015

Sustainability

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Carbon footprints have been widely employed as an indicator for total carbon dioxide released by human activities. In this paper, we implemented a multi-regional input-output framework to evaluate the carbon footprints and embodied carbon flows for the eight regions of China from consumption-based perspective. It is found that the construction, electricity/stream supply, and machine manufacturing rank as the top sectors with the largest total carbon emissions. The construction sector alone accounts for 20%-50% of the national emissions. Besides the sectoral carbon footprints, regional footprints and their differences in carbon emissions were also observed. The middle region had the largest total carbon footprints, 1188 million ton, while the capital region ranked the first for its per capita carbon footprint, 7.77 ton/person. In regard to the embodied carbon flows within China, the study detected that the embodied carbon flows take up about 41% of the total carbon footprints of the nation. The northwest region and the eastern coast region are found to be the largest net embodied carbon exporter and importer, respectively. Further investigation revealed significant differences between production-based and consumption-based carbon emissions, both at sectoral and total amounts. Results of this paper can provide specific information to policies on sectoral and regional carbon emission reduction. OPEN ACCESSSustainability 2015, 7 10099

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“…Elements in quadrant III have both low prominence and relation, and they are relatively disconnected from the system. Elements in quadrant IV have high prominence and low relation, which means they are important items impacted by other elements [84].…”

Section: The Algorithm Of Danpmentioning

confidence: 99%

Identifying the value co-creation behavior of virtual customer environments using a hybrid expert-based DANP model in the bicycle industry

Chuang

Chen

2015

Hum. Cent. Comput. Inf. Sci.

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Since 2008, soaring international oil prices and environmental awareness have pushed bicycle to be a green transport vehicle to reduce greenhouse gas emissions as a significant global trend. Consequently, Taiwan's bicycle industry earned the "bicycle kingdom" has entered a new peak period of demand under popular social trends of bicycling for health conscious and a healthy exercise tool; thus, to co-create value with customers to retain the reputation is important for Taiwan's bicycle industry. In Internet age, plus the prevailing of service-dominant logic, virtual customer environments (VCEs) can be greatly leveraged to promote customers' active engagement in the value co-creation activities. After an extensive literature review, this study organizes a hybrid expert-based DANP model based on the applications of multi-criteria decision making (MCDM) tools, such as decision-making trial and evaluation laboratory (DEMATEL)-based analytical network process (ANP), for investigating the iterative and dynamic nature of customer's engagement and value co-creation behavior in the key bicycle industry in Taiwan. In the empirical study of analysis, the use and gratification framework of prior studies is validated on concerning the dynamic value co-creation behavior in bicycling VCEs and yields the following empirical results: (1) Tribal behavior drives the pursuit of realized benefits through VCE engagement and affects the related participation and citizenship behaviors in turn; (2) recognize the importance of social influences toward personal commitment and engagement of bicycling activities and related VCEs; and (3) four broad types of interaction-based benefits derived from engagement in VCEs include cognitive, social integrative, personal integrative, and hedonic benefits. The major research findings on theoretical implications and managerial implications provide helpful insights on marketing of Taiwan's bicycle industry.

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Analysis of adopting an integrated decision making trial and evaluation laboratory on a technology acceptance model

Cited by 140 publications

References 33 publications

Key Determinant Derivations for Information Technology Disaster Recovery Site Selection by the Multi-Criterion Decision Making Method

Key Determinant Derivations for Information Technology Disaster Recovery Site Selection by the Multi-Criterion Decision Making Method

Carbon Footprints and Embodied Carbon Flows Analysis for China’s Eight Regions: A New Perspective for Mitigation Solutions

Identifying the value co-creation behavior of virtual customer environments using a hybrid expert-based DANP model in the bicycle industry

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