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Source publication
As the IC (Integrated Circuit) industry migrates to the Systems-on-Chip (SOC) era, the nature of Semiconductor Intellectual Property (SIP) which can narrow the "design productivity gap" between the increase in IC design complexity and increased IC design productivity has made SIP critical for the design and implementation of complex SOCs. However,...
Contexts in source publication
Context 1
... intervention can be in the form of: financing R&D, acting as a lead user, providing complementary assets, regulat- ing a firm's activities, educating the workforce, maintain- ing macroeconomic fundamentals, and maintaining political stability in order to attract investment in the innovation (Afuah, 1998). A list of possible innovation policies given by Rothwell and Zegveld (1982) is sum- marized in Table 1. The aims of, and governmental expectations from, public policies towards innovation are many and varied, as are the policies themselves and the tools designed to meet policy aims. ...
Context 2
... groups represent the policies that affect the innovation environment and the technological systems. The list of innovation policy tools is provided in Table 1. ...
Context 3
... the value of each element of x 0 , the reference pattern, be 1 which stands for the best case for the ele- ments in the normalized correlation matrix. By setting the distinguished coefficient ζ as 0.5, the grey relation IIR24 IIR23 IIR8 IIR22 IIR11 IIR12 IIR15 IIR9 IIR20 IIR16 IIR7 IIR6 IIR18 IIR2 IIR3 IIR13 IIR1 IIR4 IIR10 IIR19 IIR21 IIR5 coefficients were derived using Equation (9). Finally, the grades of grey relation γ(x 0 , x i ) were derived using Equa- tion (10) (See Table 4). ...
Context 4
... the GRA serves as an effective tool for analyzing the correlation between policy tools and IIRs, especially when available experts in some specific fields of emerging technologies are limited. Thus, this Effect IIR1 IIR2 IIR3 IIR4 IIR5 IIR6 IIR7 IIR10 IIR13 IIR14 IIR17 IIR18 IIR19 , 6, 7, 8, 10, 11, 14, 15, 19, 20, 24 IIR4, 5, 7, 11, 19 , 24 IIR24 IIR11, 24 IIR24 IIR24 IIR7, 24 IIR24 IIR24 IIR24 IIR24 IIR 11, 24 IIR24 Remark: Threshold value = 0.100 ...
Context 5
... the GRA serves as an effective tool for analyzing the correlation between policy tools and IIRs, especially when available experts in some specific fields of emerging technologies are limited. Thus, this Effect IIR1 IIR2 IIR3 IIR4 IIR5 IIR6 IIR7 IIR10 IIR13 IIR14 IIR17 IIR18 IIR19 , 6, 7, 8, 10, 11, 14, 15, 19, 20, 24 IIR4, 5, 7, 11, 19 , 24 IIR24 IIR11, 24 IIR24 IIR24 IIR7, 24 IIR24 IIR24 IIR24 IIR24 IIR 11, 24 IIR24 Remark: Threshold value = 0.100 ...
Citations
... Research data were collected between 10 January 2022 and 21 January 2022. (Huang, Shyu, & Tzeng, 2007). The basis of the DEMATEL method is graphical theory. ...
Sustainable development is an important issue for hotels as it is in all sectors. Managers try to manage processes by preserving all economic, social and environmental balances. At this point, technology is seen as the most important helper. In this context, the aim of this research is to evaluate the effects of technologies used in hotels in terms of sustainable development from the perspective of managers. In this study, interviews were conducted with the managers of 4-and 5-star hotels. In total, 15 criteria have been determined. In the analysis of the criteria, the DEMATEL method, which is one of the multi-criteria decision-making techniques, was used. As a result of the findings, convenience, correct information and organizational compatibility criteria came to the fore as the first three criteria that most affected the other criteria. In addition, the criteria of competitive advantage, customer satisfaction and cost advantage were determined as the first three criteria that were most affected.
... Where R i À C j is positive, it means the corresponding factor influences the strength of other factors. But if it is negative, it means the corresponding factor is influenced by other factors (Huang et al., 2007). While R i À C j indicates the strength or the degree of the causal influence of the factor, R i þ C j connotes that the relationship of one factor with others in the network. ...
Purpose
The study analysed the factors influencing real estate firms' (REFs) decision to adopt virtual reality (VR) technology using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method. This was done to enhance the practice of real estate agency in Nigeria.
Design/methodology/approach
Data were elicited from eight real estate experts. These experts were heads of the agency department of firms that had been in existence for a minimum of five years in the Lagos property market. The data analysed in this study were collected with the aid of a questionnaire.
Findings
The result revealed that use intention was influenced by performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value and UB. Also, facilitating conditions, habit and use intention did not influence use behaviour. Overall, six constructs, which include price value ( R i − C j value = 0.1284), use behaviour ( R i − C j value = 0.0666), social influence ( R i − C j value = 0.0583), facilitating conditions ( R i − C j value = 0.0323), performance expectancy ( R i − C j value = 0.0196) and effort expectancy ( R i − C j value = 0.0116), were significant predictors of the factors influencing the decision of REFs to adopt VR. Of these constructs, the R i − C j values indicated that price value had the highest causative influence.
Practical implications
The result of this study will bring REFs to the consciousness of the factors that could affect their adoption of VR technology. This study will also assist the Nigerian Institution of Estate Surveyors and Valuers in appropriately enlightening REFs on the integration of VR technology into the agency practice especially at this time when all health protocols and guidelines need to be observed to help flatten the curve of the Covid-19 pandemic.
Originality/value
This study is the first to have an insight into the analysis of the factors influencing REFs' decision to adopt VR technology using the DEMATEL method.
... DEMATEL is used to evaluate the criteria and highlight the degree of interaction through a causal diagram. Specifically, DEMATEL distinguishes the criteria of the structural model into 2 groups, causal group and affected group, and converts the relationships of the criteria into a causal diagram (Huang et al., 2007;Wu and Lee, 2007). The diagram acts as a visualizer to understand complex structures (Tseng, 2010). ...
... The total relation matrix T can be obtained as follows (Huang et al., 2007;Lin and Wu, 2008), where I is an identity matrix: ...
This paper investigates the risk exposure arising from the supplier evaluation criteria of cost, quality, delivery, and flexibility. An integrated method of Fuzzy Decision Making Trial and Evaluation Laboratory (FDEMATEL) and Fuzzy Analytical Network Process (FANP), which is able to address interaction and feedback effects between the criteria and subjectivity in the decision rating, is used to generate the importance weights of the objectives for a network relationship problem. Different weights of the objectives are then incorporated into a Fuzzy Multi-Objective Programming (FMOP) model for determining the optimal order quantity allocated to the suppliers. The proposed method provides a more realistic decision making scenario by considering different importance weights of criteria from individual priority. Therefore, it provides a practical method to solve the real world problems. The validity of the proposed method is illustrated by a case study from a trading company.
This study analysed the criteria used in measuring the determinants of the adoption of VR technology in real estate agency practice in Lagos, with a view to providing information with which the practice can be enhanced.
The data for the study were elicited using a questionnaire which was administered to eight REFs. The firms were those that have been operating in Lagos for at least five years, and the data collected were analysed using the DEMATEL method.
The findings revealed that perceived utility and relative advantage were the most important criteria for determining REFs' performance expectancy with VR technology. The two most important criteria to measure effort expectancy were ‘perceived ease of use’ and complexity. ‘Subjective norms' was the most important criterion for measuring social influence, while ‘perceived behavioural control’ was the most important criterion to measure facilitating conditions. Under ‘price value’, output quality was the only significant criterion. Finally, the frequency of use, the actual number of use, and the amount of time spent utilising the technology were significant for measuring the REFs' use behaviour.
The study offers insights into the criteria that can assist REFs in integrating VR technology into real estate agency practice. The results are also helpful to the Nigerian real estate professional bodies to organise workshop programmes for REFs on the use of VR technology and other disruptive technologies. The results will also serve as a guide for REFs to gain a competitive advantage in this trying time of pandemic and help them measure up to global standards and the expectations of their clients.
Before this study, efforts have not been made to study the criteria for measuring the determinants of VR technology adoption in the Nigerian real estate agency practice.
Businesses are increasingly adopting competency models, which have proven their value as a human resources (HR) management tool. Specifically, this paper aims to investigate what types of job competencies are required for store managers, how selection criteria are made to find high performance store managers by retailing specialists and store managers themselves. But the influences between criteria have not been clearly shown. Are the perspectives of competent criteria between store managers and retailing HR specialists different? And what is the gap between them? To solve the issues involving the surface of human judgment and different view of points by implementers (store managers) and specialists (aspired level), we propose an effective method based onMCDMwith DETAMEL.
Because of the increasing number of scuba divers worldwide, satisfaction and safety issues are crucial for success in the tourism industry. This study established characteristics of scuba diving guides to achieve diver safety along with the environmental impact concerns related to this
activity. A hybrid MCDM model was used to address dependent relationships among a set of criteria. Preferences of divers towards dive guides can be calculated using ANP and DEMATEL to determine the relative weights of each criterion. The result shows that diving skill is the crucial factor
for professional dive guides, including the skill in leading dives and managing problems.
In recent years, the smart phone equipped with advanced mobile applications such as convenient and easy access to the Internet has become an essential tool for the multitasking era, recently termed the M-era. How we can understand customers’ needs and gaps and subsequently satisfy these needs and lessen these gaps by creating a high value-added product to enhance customer satisfaction and increase the benefits to, and the competitive advantage of, enterprises? This study proposes a smart phone improvement for promoting the product value to satisfy the customers’ needs with a hybrid MCDM model, which combines the DANP (DEMATEL-based ANP) and VIKOR. The DANP can establish an influential network relation map (INRM) to analyze interrelationship among dimensions/criteria by using the DEMATEL technique and then can measure the influential weights by combining the basic concept of the ANP. Furthermore, the VIKOR combining the influential weights in each criterion can integrate into each dimensional and overall evaluation based on the INRM to improve the gaps for achieving aspiration level and can enhance their competitive advantage in the smart phone market by lessening the gaps related to mobile convenience, thus creating a high value-added mobile phone product.
Since the year 2000, silicon intellectual property (SIP), which can minimize the gap in ‘design productivity’ that exists with systems-on-chip (SOC), has become one of the most important factors in the development of integrated circuit (IC) products in the SOC era. Although SIP is very important for IC industry development, complicated business, technical as well as legal issues inside SIP transactions have hindered successful transactions and the integration of SIPs into SOCs. Thus, web-based SIP e-Commerce mechanisms, called SIP Malls, have emerged, aiming to resolve complex SIP issues. To maintain its leading position and competitiveness in the World's IC industry, as well as the value added by SOC products in Taiwanese IC firms, the Taiwanese government has developed SIP Malls, using innovation policy tools. However, the Taiwanese SIP Mall industry remains immature. No existing Taiwanese SIP Malls generate a profit or account for a significant share of worldwide SIP transactions. This research will develop an analytical framework for defining an innovation policy portfolio that aims to develop Taiwan's SIP Mall industry, so that it will enhance the value added of SIP Malls and, thus, the nation's competitiveness in the SIP and IC industries, something which already has become one of the Taiwanese government's major concerns. The industry innovation requirements (IIRs) are summarized using the Delphi method. Meanwhile, the major IIRs identified by Decision Making Trial and Evaluation Laboratory (DEMATEL) are introduced. After the IIRs are derived, the relationships between the IIRs and innovation policy tools are derived by Grey relational analysis (GRA). Then, the innovation policy tools are clustered, based upon the Grey grades derived by GRA. Finally, reconfigured innovation policy portfolios are presented for the Taiwanese government's policy definition. The results demonstrate that developing an innovative policy portfolio that includes scientific, technical, educational, public enterprise, information, legal and regulatory, financial, and taxation policy tools will be the most necessary step towards developing Taiwan's SIP Mall industry.
