scholarly journals User demands analysis of Eco-city based on the Kano model—An application to China case study

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248187
Author(s):  
Jinqiu Li ◽  
Qingqin Wang ◽  
Yitong Xuan ◽  
Hao Zhou

Eco-cities have witnessed rapid growth in these years worldwide. As the Eco-cities entering operation stage gradually, more and more researchers have found that users (who are living or working in the Eco-cities) satisfaction is one of the most important factors to determine the success or failure of Eco-cities. Therefore, it is very important to investigate the user demands to attract more citizens willing to live or work in the Eco-cities, which will make the development of Eco-cities more sustainable and solid. The recent researches on user demands investigation and analysis in the Eco-cities mainly focused on understanding the user need itself, yet lack of research on the relationship between the user demand and user satisfaction. This paper initially introduced the Kano model analysis method to the research field of user demands in Eco-city, to explore the relationship between the user demand and user satisfaction. After proposing user demands library in Eco-city (including Land use, Ecological environment, Green building, Energy utilization, etc.), the user demands classification and importance analysis methods of Eco-city were proposed based on Kano model. The questionnaire survey for users of two Eco-cities in China as case study was conducted, consisted of user demand items questionnaire based on the Kano model and a questionnaire on the importance of the user demand items. By utilizing the integration of quantitative analysis methods based on the Kano model and Analytic Hierarchy Process (AHP) method, the final ranking of user demands importance was obtained. Comparing with the existing literatures in terms of user demands research for Eco-city, the user demands analysis method based on Kano model of this paper, is able to reveal the influence degree of user satisfaction towards the facilities and services provided in the Eco-city. The user demands analysis method can be used for other researchers worldwide to investigate and quantitively analyze user demands according to their local development situation and preference of Eco-city. The user demands analysis results obtained through this method, can benefit different stages of Eco-city.

2019 ◽  
Vol 11 (8) ◽  
pp. 2195 ◽  
Author(s):  
Chen-Yi Sun ◽  
Yin-Guang Chen ◽  
Rong-Jing Wang ◽  
Shih-Chi Lo ◽  
Jyh-Tyng Yau ◽  
...  

The green building certification system of Taiwan, EEWH (Ecology, Energy Saving, Waste Reduction and Health), has been in operation for more than 20 years (since 1999). In order to understand the relationship between green building certification and the construction costs of residential buildings, this study obtained 37 green building-certified residential cases and 36 general residential cases available from public information and conducted a comparative analysis. The results of this study showed that the average construction cost of a green building certification residential building was only 1.58% higher than a general residential building, indicating that green building certification does not require a large increase in costs. However, for residential buildings, achieving a high-grade (gold-grade or diamond-grade) green building certification means an increase of 6.7% to 9.3% in construction costs. This shows that the pursuit of higher levels of green building certification does require higher construction costs. In addition, the results of this study can not only provide important references for the government in making green building policies, but also offer a practical strategy for developers for decision-making.


2019 ◽  
Vol 24 (3) ◽  
pp. 236-242
Author(s):  
B Sundari ◽  
Cicilia Erly Istia ◽  
Renita Helena

Electronic money instruments with non-cash transactions continue to increase positively from year to year. This is also due to the launch of the national non-cash or cashless movement which has been widely applied, especially in Indonesia. This study aims to find out what factors influence e-money sales, especially in banking entities in Indonesia. This study uses multiple linear regression analysis method using SPSS 22, which aims to examine the relationship or effect of the dependent variable with the independent variable. The results of the study have found that in the partial sale of electronic money is only influenced by e-money marketing channels / partnerships. While ease of transaction, ease of top up, and type of design do not have an impact on e-money sales. Meanwhile, simultaneously, these factors have an impact on E-Money sales.


2017 ◽  
Vol 9 (4) ◽  
pp. 193
Author(s):  
Neda Sharifi Asadi Malafe ◽  
Fahime Baei

This study was an attempt to investigate the relationship between information and communication technology (ICT) and its components and knowledge management in Iran municipality staff (Mazandaran Province). "Research Methodology" in this study was descriptive and correlational. To fulfill the purpose of this study, 152 staff were selected from among a total number of 250 population based on stratified sampling using Krejcie & Morgan sampling table. "The data collection tools" consisted of two standard questionnaires, including ICT questionnaires (%96 validity) and knowledge management questionnaire (95% validity). "The data analysis method" was inferential statistics conducting by SPSS and LISREL software. "The results" showed that there was a significant relationship between ICT and knowledge management. Also, that there was a significant relationship between ICT components include: "automation", "processing", "storage", "informing" and "communication", and knowledge management. There was not a significant relationship between ICT and knowledge management between men and women. Finally, the relationship between ICT and knowledge management model based on Fit Indices of, properly evaluated. 


Author(s):  
I GEDE ARTHA SUDIARSANA ◽  
DWI PUTRA DARMAWAN ◽  
I DEWA GEDE RAKA SARJANA

Competence Analysis of California Papaya Farmers (A Case Study of MertaGiri Kusuma Farmer Group of Abang Village, Abang Sub-District ofKarangasem Regency) The Ministry of Agriculture in the Strategic Plan 2015-2019 has a Gross DomesticProduct target of 3.80% growth in the agricultural sector. Increased farm productivityis realized in the optimal utilization of land potential by applying the concept ofagribusiness maximally. Efforts to increase productivity are conducted by increasingthe competence of farmers namely knowledge, technical and managerial competence.The purpose of the study is to determine the level of competence of farmers, the levelof productivity of California papaya farming, and the relationship betweencompetence with productivity of California papaya farming. The research wasconducted at Merta Giri Kusuma Farmer Group, Abang Village, Abang Sub-District,Karangasem Regency for 5 months. There are 20 members as population or therespondents taken by the census technique. Data analysis method used qualitativedescriptive analysis and Rank Spearman correlation statistical analysis. In general,the competence of farmers is very significant ly related to the productivity ofCalifornia papaya farming. A very real relationship at the 0.01 level is technicalcompetence with a correlation coefficient of 0.835 and managerial competence witha correlation coefficient of 0,599. While the competence that is significantly relatedto the productivity of farming at the 0.05 level is the knowledge competence with thecorrelation coefficient of 0.465.


2009 ◽  
Vol 20 (07) ◽  
pp. 433-452 ◽  
Author(s):  
Kathy R. Vander Werff

Background: The number of commercially available evoked potential systems implementing multiple-frequency auditory steady-state response (ASSR) techniques has increased over the last several years. The majority of data in the multiple-frequency ASSR literature have been obtained using time-domain averaging and Fast Fourier Transform (FFT) techniques with F-test statistical analysis. Another commercially available analysis method has been introduced using an adaptive filtering algorithm called the Fourier Linear Combiner (FLC). No previous investigation has evaluated the performance of the FLC method, nor compared the two techniques. In addition, there is a need for evaluation of clinical protocols for ASSR testing using these available commercial systems that balance time efficiency and accuracy in estimating threshold. Purpose: (1) To determine whether ASSR thresholds, the relationship between ASSR and behavioral thresholds, and clinical test time are affected by the ASSR analysis method when comparing two commercially available systems for multiple-frequency ASSR. (2) To investigate the use of clinical ASSR test protocols of varying recording length, and the effect on accuracy and time efficiency, using these two commercially available analysis methods. Research Design and Study Sample: ASSR threshold searches were completed on a group of 20 normal-hearing and 20 hearing-impaired adult participants using two different analysis methods, FFT and FLC, under separate, independent, tests as well under simultaneous recording conditions. Data Collection and Analysis: Three experiments were completed: (1) independent assessment of ASSR thresholds using the FFT and FLC methods separately, (2) simultaneous recording of ASSR for both the FFT and FLC method, and (3) an automated threshold search protocol using the FLC method. Variables analyzed for Experiments 1 and 3 included ASSR thresholds, the difference between ASSR and behavioral threshold, and total test time. For Experiment 2, the number of detected ASSRs per method, the agreement between methods, and the time per detected ASSR were evaluated. Results and Conclusions: ASSR thresholds and the relationship between ASSR and behavioral thresholds were found to be in line with those reported in the literature for multiple-frequency ASSR for both the FLC and FFT methods. ASSR thresholds were found to be significantly higher for the FLC method for the low frequencies, but not for the high frequencies, when tested independently. Correlations between ASSR and behavioral thresholds, however, were found to be the same across methods. Overall, it did not appear that either analysis method held an advantage in terms of accuracy or overall test time in independent comparisons using the protocol implemented in the current study. The time benefits of an automated protocol were significant, although with compromised test accuracy. The results of this study suggest critical clinical decision making is a necessary part of the ASSR protocol in order to decrease false positive and false negative responses and to increase overall efficiency.


2019 ◽  
Vol 2 (4) ◽  
pp. 479
Author(s):  
Soheir Backar

Currently, any industries face higher competition in their business pertinent to the customers' demands and product design requirements. Customer requirements and satisfaction measurement can be achieved through various methods. This paper presents an integrative framework of Kansei engineering (KE) and Kano model, applied to a product (light bulb changer LBC). KE captures and translates the emotional needs of the customer (Kansei), whereas Kano model is inserted into it to investigate the relationship between service quality attribute performance and Kansei. On this research, the integration between KE and KM in product development approach is applied though a daily life product as a case study (LBC product). The results show that the mechanical mechanism consisting of spring fingers with pvc, round grip and plastic telescopic pole is preferred by customers. This study found that the perceived or quality attributes are influenced by the emotional design or Kansei response. It provides the useful spectrum to other researchers to gain more powerful product development in the future, and stay on the customer satisfaction and requirement track.


Author(s):  
Paul M. Salmon ◽  
Neville A. Stanton ◽  
Guy H. Walker ◽  
Gemma J. M. Read

Hierarchical task analysis (HTA), arguably the most popular task analysis method of all time, provides a useful approach for describing expert behavior and the factors influencing it. Its utility is enhanced by the fact that there are various ergonomics analysis methods that build on HTA outputs to provide in-depth analyses of behavior. This chapter provides an overview of HTA and its origins, followed by practical guidance on how to apply the method. Two rail level crossing case study applications are presented. These are used to showcase how HTA can be used to describe and analyze both behavior at the sharp end (i.e., at the rail level crossing itself) as well as the behavior of overall sociotechnical systems (i.e., the behavior of the overall rail level crossing “system”). In closing, the main strengths and weakness of HTA are discussed.


2019 ◽  
Vol 12 (1) ◽  
pp. 313 ◽  
Author(s):  
Qiuchen Wang ◽  
Jannicke Baalsrud Hauge ◽  
Sebastiaan Meijer

An electric road system (ERS) is a transportation solution that provides electricity for fully electric vehicles while in motion. This solution might contribute to sustainable transportation by overcoming range anxiety problems that fully electric vehicles, especially heavy vehicles, have encountered due to battery technology limitations. However, large-scale ERS implementations are challenging, both technically and socially. An ERS is not only an engineering project, but also a complex technology innovation system composed of multiple subsystems and stakeholders, which requires an interdisciplinary means of aligning relations, problems, and solutions. In the policy analysis domain, researchers have developed actor analysis methods to support policy making processes. Actor analysis methods can provide an analytical reflection in solving complex multi-actor policy making challenges that ERSs are also facing. To uncover the complexity of multiple subsystems and stakeholders involved in an ERS, this paper applied a method to align system characteristics with the stakeholders’ perceptions to understand multi-stakeholder contexts in complex technology innovation projects. Desk research was first conducted to summarise ERS characteristics. Then, the dynamic actor network analysis method framework was adopted to establish an action, factor, goal (AFG) list, which was revised by independent researchers. Next, the AFG list was used to collect the perceptions of the ERS stakeholders, expressed as AFG selections and causal links through stakeholder interviews. The resulting AFG list was iterated through two rounds of interviews and then validated in a Swedish ERS case workshop. The results from this methodology showed that the actor analysis method can not only be applied to policy analysis domains, but can also be applied to technology innovation complex systems, using the electric road system as a case study, to help uncover the ERS complexity from the concerns of stakeholders and to secure a pathway towards sustainable technology implementation.


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