Relative weight comparison between virtual key factors of cloud computing with analytic network process

2014 ◽  
Vol 72 (5) ◽  
pp. 1694-1714 ◽  
Author(s):  
Cheol-Rim Choi ◽  
Hwa-Young Jeong ◽  
Jong Hyuk Park ◽  
Haeng Jin Jang ◽  
Young-Sik Jeong
Keyword(s):  
Cloud Computing ◽  
Relative Weight ◽  
Analytic Network Process ◽  
Key Factors ◽  
Network Process

The Cluster-Weighted DEMATEL with ANP Method for Supplier Selection in Food Industry

2012 ◽  
Vol 16 (5) ◽  
pp. 567-575 ◽  
Author(s):  
Jung-Lu Shen ◽  
◽  
Yong-Mei Liu ◽  
Yi-Lin Tzeng ◽  
Keyword(s):  
Competitive Advantage ◽  
Performance Improvement ◽  
Supplier Selection ◽  
Food Industry ◽  
Analytic Network Process ◽  
Key Factors ◽  
Material Costs ◽  
Network Process ◽  
Corporate Social ◽  
Selection Of

In terms of keeping material costs low and increasing competitive advantage, supplier selection is one of the most important functions of a business. This paper uses an effective solution based on a combined Analytic Network Process (ANP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach to find the criteria that are key to performance improvement. This paper surveys the multicriteria supplier selection approaches and reveals the most popular criteria and sub-criteria. Based on experts’ suggestions and the most popular criteria, the key factors in the selection of food industry suppliers are identified. Then, the causal relationships and relative importance weights of the criteria in the system are computed using the cluster-weighted DEMATEL with ANP method. This paper compares the results of experts and purchasing managers and discovers a cognitive gap. The managers agree that cost and delivery are very important; they need to keep material costs down and increase the company’s competitive advantage. The experts value customer satisfaction and Corporate Social Responsibility (CSR), so they feel that quality and service are the most important criteria.

scholarly journals Analytic Network Process for Developing Relative Weight of Wastewater Treatment Technology Selection

2017 ◽  
Vol 11 (5) ◽  
pp. 64 ◽  
Author(s):  
Lazim Abdullah ◽  
Nurul Atiqah Abd Rahman
Keyword(s):  
Wastewater Treatment ◽  
Relative Weight ◽  
Analytic Network Process ◽  
Technology Selection ◽  
Practical Implementation ◽  
Relative Importance ◽  
Treatment Technology ◽  
Importance Weights ◽  
Network Process ◽  
The Many

Selecting the best wastewater treatment (WWT) technology requires a thorough qualitative and quantitative evaluation of multi-dependence criteria. A network based method is one of the many possible techniques that able to handle multi-dependence criteria in the selection. This paper proposes relative importance weights of alternatives in selecting the WWT technology using the analytic network process (ANP) in Terengganu Malaysia. The ANP is applied to establish the relative weights of alternatives based on criteria and sub-criteria that available in the WWT technology selection. Two faculty members attached to a public university and an engineer in Malaysian government agency were interviewed to provide evaluation within the framework of ANP. Inner dependence and outer dependence analysis of ANP are fully utilised to establish relative importance weights of alternatives. The experiment result reveals that the relative importance weights of the three alternatives are 0.3074, 0.2795 and 0.2447. The alternative ‘Composting’ has decided as the most suitable technology in WWT which provides the highest relative importance weight among all the three alternatives. The results would be a great significance for the practical implementation of the WWT technology selection.

Evaluation of key factors for service experience: A comparison of tourism factories and international tourism hotels

2019 ◽  
Vol 26 (3) ◽  
pp. 404-436
Author(s):  
Yen-Hao Hsieh ◽  
I-Chun Chuang
Keyword(s):  
Customer Service ◽  
Service Providers ◽  
Reference Value ◽  
Analytic Network Process ◽  
Key Factors ◽  
Service Experience ◽  
Factors Affecting ◽  
Service Environment ◽  
International Tourist ◽  
Network Process

When building successful service experience, service providers have to consider multiple factors from a multi-element standpoint. This study aims to establish a new conceptual model for key factors affecting service experience and determine the influential key factors using a multi-perspective and multi-criteria methods. This study uses an analytic network process (ANP) to calculate the degree of influence exerted by the criteria and factors of the service experience and conducts in-depth interviews to validate the results of the ANP, improving the reliability of the results of the study and increasing its practical reference value. Results from tourism factories and international tourist hotels find five main criteria that affected service experience: employee, customer, service environment, information technology, and knowledge creation. The results reveal that employee and service environment are the most important criteria. Therefore, tourism factories and international tourist hotels must invest resources in training and managing employees to equip them with specialized knowledge needed to deliver high-quality service experience. Tourism factories and international tourist hotels also need to pay attention to service environments, and by building an environmental ambience, they allow customers to receive an aesthetically pleasing and comfortable service experience. Future researchers can extend this study’s architecture and results, incorporate other important criteria and factors, and consider the interdependent relations between multiple key factors to further improve the key factors affecting service experience.

scholarly journals The selection of contract strategies using the analytic network process for oil and gas projects: a case study

2019 ◽  
Vol 10 (2) ◽  
pp. 355
Author(s):  
Vinicius Maia De Jesus ◽  
Luiz Flavio Autran Monteiro Gomes ◽  
Fernando Filardi
Keyword(s):  
Working Group ◽  
Oil And Gas ◽  
Relative Weight ◽  
Analytic Network Process ◽  
Robust Solution ◽  
Ex Post ◽  
Ex Post Facto ◽  
Network Process ◽  
Complex Project

The key objective of this study was to select Oil & Gas projects contract strategies. The ANP method was used in order to achieve this objective. The candidate strategies had multiple, interrelated consequences and generated a series of impacts (technical, commercial and environmental). The study carried out by using the ANP added significant value to the company by making the evaluation and selection processes more transparent and efficient as well as by reducing environmental impacts and optimizing the use of natural resources. A working group was formed to analyze the possible contract strategies for a particularly complex project and an ex post facto analysis was performed. The case study was therefore developed in a setting of investment review by the working group including professionals from different subareas. Those professionals were responsible for recommending the most adequate contract strategy. The working group focused on four possible alternatives (A, B, C and D). However, A and B were discarded for not attending to the restrictions related to the necessary cash and debt impact. Therefore, only C and D were analyzed, taking into account the five criteria with greater relative weight: cost, performance, deadline, control, and number of interfaces. Besides those, other criteria had also a significant contribution to the study. A sensitivity analysis took into account the independence of clusters and did not change the ranking of the alternatives, leading to a robust solution of the problem.

Cloud Computing Implementation Strategy for Information Dissemination on Meteorology, Climatology, Air Quality, and Geophysics (MKKuG)

2012 ◽  
Vol 5 (3) ◽  
pp. 71-84
Author(s):  
Sardjoeni Moedjiono ◽  
Ali Mas’at
Keyword(s):  
Cloud Computing ◽  
Air Quality ◽  
Technology Implementation ◽  
Implementation Strategy ◽  
Information Dissemination ◽  
Swot Analysis ◽  
Development Program ◽  
Analytic Network Process ◽  
Computing Technology ◽  
Network Process

Cloud computing technology utilizing virtual server facility of the Internet services in order to maintain or process the data and applications, will revolutionize the way of how the information systems work in organization due to the simplification of the information technology (IT) management and services by working remotely. The Indonesian Agency of Meteorology, Climatology, and Geophysics (BMKG) as a government institution has the responsibility to disseminate the information of Meteorology, Climatology, Air Quality, and Geophysics through its technical implementation unit (UPT) throughout Indonesian region. An integrated cloud computing technology implementation strategy for MKKuG dissemination information system is needed for BMKG dissemination systems best service, cutting edge technology, and sustainable to its users. This research will use the Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis and the Analytic Network Process (ANP) with Super Decision Software as a tool to determine the need. A cloud computing technology implementation strategy is achieved and presented with four best alternatives, namely the development of a web centre, implementation of virtual hosting concept, procurement of network infrastructure, and ICT development program.

scholarly journals A Hybrid Multiple Criteria Decision-Making Technique to Evaluate Regional Intellectual Capital: Evidence from China

Mathematics ◽  
2021 ◽  
Vol 9 (14) ◽  
pp. 1676
Author(s):  
Chao Liu ◽  
Kexin Li ◽  
Peng Jiang ◽  
Ding Li ◽  
Liping Su ◽  
...  
Keyword(s):  
Decision Making ◽  
Intellectual Capital ◽  
Hybrid Method ◽  
Relative Weight ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Current Status ◽  
Resource Endowment ◽  
Network Process

With the dawn of economic globalization and the knowledge economy, intellectual capital has become the most important factor to determine economic growth. However, due to resource endowment, location conditions, policy differences, and other factors, provinces in China show sizeable differences in regional intellectual capital (RIC), which affects the coordinated development of the regional economy. Evaluating RIC is a typical multiple-criteria decision-making (MCDM) problem. Therefore, this study employs a set of MCDM techniques to solve this problem. First, the Delphi method is used to determine the formal decision structure based on a systematic literature review. A novel hybrid method, namely, the Grey-based Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP), i.e., GDANP, is employed to obtain the relative weight of each criterion. Finally, based on the data of 31 provinces in China, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is used to evaluate the RIC. According to the questionnaires filled out by an expert panel, we establish an evaluation index of RIC with 21 criteria. Based on the results of empirical study, the level of RIC in different regions in China is quite different. Furthermore, the RIC ranking is largely consistent with the provincial gross domestic product (GDP) ranking, in line with the current status of development in the regions. Indeed, this paper shows that the proposed hybrid method can effectively measure the level of RIC.

scholarly journals ANALYZING THE FACTORS INFLUENCING TRUST IN A CONSTRUCTION PROJECT: EVIDENCE FROM A SINO-GERMAN ECO-PARK IN CHINA

2018 ◽  
Vol 24 (4) ◽  
pp. 331-343 ◽  
Author(s):  
Dedong Wang ◽  
Kaili Li ◽  
Shaoze Fang
Keyword(s):  
Construction Project ◽  
Analytic Network Process ◽  
Key Factors ◽  
Initial Trust ◽  
Major Objective ◽  
Critical Feature ◽  
Business Transactions ◽  
Factors Influencing ◽  
Network Process ◽  
Over Time

Trust is regarded as a critical feature and a central mechanism in business transactions, especially in the Chinese guanxi network. In this context, the major objective of this research is to explore the key factors influencing trust in different stages of a construction project from the perspectives of owners and consultants involved in a Sino-German eco-park in China. The analytic network process (ANP) was employed to assess which factors are most closely related to trust and to establish four models to meet the objective of this study. According to the ANP results, trust is strongly influenced by factors that are associated with the mutual interests between owners and consultants. In addition, there are certain differences in the priority of the factors influencing initial trust between owners and consultants, but these gaps gradually decrease over time. The weight of guanxi also decreases over time, and the owners’ and consultants’ guanxi transforms from out-group to in-group focused.

scholarly journals On the Identification of the Key Factors for a Successful Use of Twitter as a Medium from a Social Marketing Perspective

2021 ◽  
Vol 13 (12) ◽  
pp. 6696
Author(s):  
Ester Guijarro ◽  
Cristina Santadreu-Mascarell ◽  
Beatriz Blasco-Gallego ◽  
Lourdes Canós-Darós ◽  
Eugenia Babiloni
Keyword(s):  
Social Marketing ◽  
Strategic Communication ◽  
Analytic Network Process ◽  
Point Of View ◽  
Key Factors ◽  
Communication Plan ◽  
Social Objective ◽  
The Social ◽  
Network Process ◽  
Sustainable Services

Public administrations are organizations whose mission is to serve the interests of society by providing efficient and sustainable services. Much of the information received from public administrations uses social media due to their versatility and capacity to reach a large number of citizens. Among them, Twitter is the most widely used, especially to disseminate messages with a high social content. This type of messages falls within the discipline of social marketing. However, when public administrations use Twitter for social marketing communication, it is not known which factors are the most decisive to achieve the social objective for which they are issued. This article provides an answer to this question, using the Analytic Network Process Multicriteria method to determine which factors matter and how they are interrelated when issuing social marketing messages through Twitter. The result of this research reveals that from the 22 factors analyzed, the most influential from a social marketing point of view are the average age of population, the existence of a strategic communication plan, the number of tweets and the average number of tweets per day, the number of followers, retweets and mentions, as well as the efficiency of the account.

scholarly journals Enterprise Food Fraud in China: Key Factors Identification From Social Co-governance Perspective

2021 ◽  
Vol 9 ◽  
Author(s):  
Liangyun Niu ◽  
Mo Chen ◽  
Xiujuan Chen ◽  
Linhai Wu ◽  
Fu-Sheng Tsai
Keyword(s):  
Government Regulation ◽  
Analytic Network Process ◽  
Economic Benefits ◽  
Policy Implications ◽  
Key Factors ◽  
Food Fraud ◽  
Systematic Analysis ◽  
Detection Techniques ◽  
Network Process ◽  
Functional Mechanisms

Food fraud not only exacerbates human public health risks but also threatens the business development of food and related industries. Therefore, how to curb food fraud effectively becomes a crucial issue for governments, industries, and consumers. Previous studies have demonstrated that enterprise food fraud is subject to joint influences of factor at various hierarchical levels within a complex system of stakeholders. To address enterprise food fraud, it is necessary to identify the key such factors and elucidate the functional mechanisms, as well as systematic analysis of the interrelationships among clusters and factors. Hence, we grounded on a social co-governance perspective and investigated the food fraud key influencing factors and their interrelationships in an emerging food market – China, by using the DEMATEL-based analytic network process (DANP). Results showed that the identified key cluster was government regulation, social governance, and detection techniques. Four other key factors were also identified, including government regulatory capability and penalty intensity, expected economic benefits, maturity of market reputation mechanism, and transparency of supply chain. Policy implications from the social co-governance perspective for China and similar economies are discussed finally.

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