End-Users' Perception from Housing Needs Based on Maslow's Theory of Motivation

2017 ◽  
Vol 42 (1) ◽  
pp. 58-64 ◽  
Author(s):  
Sayyed Javad Asad Poor Zavei ◽  
Mahmud Bin Mohd Jusan
Keyword(s):  
Decision Making ◽  
End Users ◽  
Latent Structure ◽  
Operational Approach ◽  
Postgraduate Students ◽  
Mass Housing ◽  
Housing Needs ◽  
One Year ◽  
Housing Attributes ◽  
Self Administered Questionnaire

Providing operational approach to end-users' motivational tendencies in housing facilitates user-centered approach enhancing person-environment congruence. The operational approach is highly critical in case of inaccessibility of end-users in decision making, i.e. mass housing. Therefore, this study aims at explaining end-users' housing motivations from their housing attributes preferences, through a theoretical framework developed based on Maslow's theory. The investigation was carried out by using a self-administered questionnaire conducted on 127 Iranian postgraduate students of Universiti Teknologi Malaysia, and their spouse who lived alongside them. They were selected from those who lived more than one year in mass housing apartments in Malaysia. Using exploratory factor analysis, the housing attributes preferences were analyzed to underlie the latent structure and relations among them; the extracted factors were also labeled based on the different level of needs. Then, conducting one sample t-test hierarchical tendencies among the different motivational factors were identified. Referring to Maslow's theory to explain the concept and characteristics of housing needs results in identification of two different categories of housing attributes in association with the different level of needs. Accordingly, primary levels of needs that associate with relatively tangible and concrete attributes are more likely to be content-specific and predictable. The higher levels of needs that associate with relatively complicated and abstract attributes are more likely to be problematical, confusing, and non-predictable.

An Operational Approach to Record Linkage

1983 ◽  
Vol 22 (02) ◽  
pp. 77-82 ◽  
Author(s):  
M. P. Mi ◽  
J. T. Kagawa ◽  
M. E. Earle
Keyword(s):  
Decision Making ◽  
Record Linkage ◽  
Operational Approach ◽  
Resident Population ◽  
Rate Of Failure

An operational approach to computerized record linkage has been developed based on the concept of probability of chance match in two groups of records brought together for comparison. Tolerance levels can be readily derived from these records for decision-making in accepting or rejecting a linked pair. This approach is especially suitable for iteration when linked pairs are removed in successive cycles. An application of linkage for death clearance of the 1942 resident population of 437,967 registered in Hawaii during a 38-year period from 1942 to 1979 is presented. The reliability of linkage and rate of failure were analyzed.

Shared Decision-Making for Diabetes Prevention—One-Year Results from the Prediabetes Informed Decision and Education (PRIDE) Study

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 168-OR ◽  
Author(s):  
TANNAZ MOIN ◽  
NORMAN TURK ◽  
CAROL MANGIONE ◽  
YELBA CASTELLON-LOPEZ ◽  
KIA SKRINE JEFFERS ◽  
...  
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Diabetes Prevention ◽  
Informed Decision ◽  
Shared Decision ◽  
One Year ◽  
Pride Study

A multilevel analysis of the influence of bullying participant roles upon the trajectories of adolescents’ social and emotional competencies

2021 ◽  
pp. 014303432198897
Author(s):  
Vítor Alexandre Coelho ◽  
Marta Marchante
Keyword(s):  
Decision Making ◽  
Self Control ◽  
Social Emotional ◽  
Emotional Competencies ◽  
Social And Emotional ◽  
Self Reports ◽  
One Year ◽  
Competencies Development ◽  
Bullying Participant Roles ◽  
Social And Emotional Competencies

This study analyzed how social and emotional competencies evolved according to adolescents’ involvement in bullying, and whether gender influenced social and emotional competencies’ development. Five-hundred-fourteen students ( Mage = 12.71; SD = 1.09) were assessed through self-reports at three different time points for one year. Results showed that students involved in the three analyzed bullying roles displayed a more negative trajectory in all but one social emotional competence analyzed compared to students not involved in bullying. The exception was students who bullied others for responsible decision making. Additionally, gender differences were only found in self-esteem trajectories; boys displayed a more pronounced decrease. In larger classes, students displayed higher levels of self-control, social awareness and responsible decision-making. These results showed that reduced social and emotional competencies were a consequence of bullying involvement for every bullying role analyzed.

scholarly journals An Analysis of Preferences in Housing Demand by Means of a Multicriteria Methodology (AHP). A More Sustainable Approach

2021 ◽  
Vol 13 (14) ◽  
pp. 7550
Author(s):  
Roberto Cervelló-Royo ◽  
Marina Segura ◽  
Regina García-Pérez ◽  
Baldomero Segura-García del Río
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
Real Estate Market ◽  
Housing Demand ◽  
Decision Making Process ◽  
Analytic Hierarchy ◽  
The Real Estate ◽  
Qualitative Relationship ◽  
Key Aspects ◽  
Housing Attributes

This paper examines key aspects of the behavior of housing demand from a sustainable standpoint. Most studies have mainly focused on housing supply, looking at quantitative predictions without considering the qualitative relationship found between housing values and housing demand on a sustainable and microeconomic scale. We used a multicriteria decision methodology (analytic hierarchy process—AHP) for the analysis of preferences in demand, based on the theory of multi-attribute utility of housing, to determine the relative importance of each characteristic of housing and its influence on the decision-making process. For this purpose, we carried out the study over three main groups of stakeholders in the housing market: real estate surveyors, real estate agents, and housing buyers (the latter representing the housing demand). Results show that although there might be some slight discrepancies among the three groups in the decision-making process and the weighting of housing attributes, the three groups agree in most of the process, especially when defining the criteria and the importance that each criterion has on the process of valuation. This study provides important managerial and sustainable implications for the real estate market related to urban public policy, as we highlight which criteria are most preferred.

scholarly journals ENGAGING END USERS IN AN AI-ENABLED SMART SERVICE DESIGN - THE APPLICATION OF THE SMART SERVICE BLUEPRINT SCAPE (SSBS) FRAMEWORK

2021 ◽  
Vol 1 ◽  
pp. 1363-1372
Author(s):  
Fan Li ◽  
Yuan Lu
Keyword(s):  
Decision Making ◽  
Design Process ◽  
End Users ◽  
Social Lives ◽  
Mobility Service ◽  
Ai Ethics ◽  
Smart Service ◽  
Design Case Study ◽  
Diverse Context ◽  
Service Blueprint

AbstractArtificial Intelligence (AI) has expanded in a diverse context, it infiltrates our social lives and is a critical part of algorithmic decision-making. Adopting AI technology, especially AI-enabled design, by end users who are non-AI experts is still limited. The incomprehensible, untransparent decision-making and difficulty of using AI become obstacles which prevent these end users to adopt AI technology. How to design the user experience (UX) based on AI technologies is an interesting topic to explore.This paper investigates how non-AI-expert end users can be engaged in the design process of an AI-enabled application by using a framework called Smart Service Blueprint Scape (SSBS), which aims to establish a bridge between UX and AI systems by mapping and translating AI decisions based on UX. A Dutch mobility service called ‘stUmobiel ’ was taken as a design case study. The goal is to design a reservation platform with stUmobiel end users. Co-creating with case users and assuring them to understand the decision-making and service provisional process of the AI-enabled design is crucial to promote users’ adoption. Furthermore, the concern of AI ethics also arises in the design process and should be discussed in a broader sense.

scholarly journals PENERAPAN PSAK NO. 2 TENTANG LAPORAN ARUS KAS DALAM PENGAMBILAN KEPUTUSAN PADA PERUM BULOG DIRVE SULUT DAN GORONTALO

2015 ◽  
Vol 13 (03) ◽  
Author(s):  
Fanesa Isalia Minanda Syaefudin ◽  
Jenny Morasa ◽  
Stanly Alexander
Keyword(s):  
Decision Making ◽  
Cash Flow ◽  
Balance Sheet ◽  
Financial Statements ◽  
Operating Cash Flow ◽  
Cash Flow Statement ◽  
Quantitative Descriptive ◽  
One Year ◽  
Finance Department ◽  
Real State

In the company’s Financial Statements is a means of consideration in decision making so that, componentsin the financial statements must betrue and correct. In thedecision making companies should use the cash Flow Statement because sometimes the income and balance sheet does not show the real state of corporate finance. The purposeof this study to determine the application of the Cash Flow Statement in accordance with SFAS No. 2 in corporate decision. This type of research is quantitative descriptive. The results showed, net cash provided by the company during the year has decreased compared to the previous year. This study uses the ratio analysisin corporate decision making. The Ratio of Operating Cash Flow to Total Liabilities can be used as basis for decision making in the company repay its total Liability for one year of operation. The Ratio of Cash Flow to Current Liabilities can be used as the basis of the decision making companies when measuring the company’s ability to pay Current Liabilities by Net Operating Cash Flow. The Ratio of Cash Flow to Sales companies measure the company’s ability to measure the company’s ability to obtain cash from to sale. Leaders should Perum Bulog particularly the finance department needs to implement the Cash Flow Statement as the basis of its analysis so that can know the financial situation and can be used as a basis for decision making of the company.

Co-Evaluation as a step in the Co-Generation of Climate Services.  An analysis of the CLARA experience

2021 ◽  
Author(s):  
Elisa Delpiazzo
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Economic Value ◽  
Value Added ◽  
Climate Change Impacts ◽  
End Users ◽  
Scientific Quality ◽  
Economic Value Added ◽  
Human Welfare ◽  
Climate Services

<p>Due to the pervasive nature of climate change impacts, and their relevance for human welfare, climate services delivering advanced knowledge of climate change and variation are crucial. They aid informed decision-making at relevant spatial and timescale and to improve prevention, preparation, adaptation, and minimize residual damages. It is also imperative to evaluate the climate services with a view to quantify the economic value added of these services. Particularly crucial is to assess how the decision-making process of the service end users would unfold with and without the service to identify its differential impact on properly selected indicators of performance.</p><p>The co-generation (also called co-creation) in products and services was made popular by the business literature in the early 2000s and represents a conceptual shift from an emphasis on output to an emphasis on a mutually satisfying relational process between developers and users in service creation. It mainly consists of four stages, namely co-design, co-development, co-delivery, and co-evaluation. The stage of co-evaluation refers to the development and application of agreed upon criteria for the measurement of results. The criteria will touch upon both substantial and procedural issues. From a user perspective, it will be important to evaluate relevance, impact/benefits, utility, credibility, and costs (financial and human resources) in using climate services. These elements are important to assess the effectiveness and uptake of the service and possibly refine it towards these goals. From a developer perspective, important aspects to evaluate will include, for instance, the scientific quality of the service or its skill.</p><p>This presentation introduces the lessons learnt in the context of the H2020 project CLARA (Climate forecast enabled knowledge services) on how to effectively implement the interactions among researchers, end users and service developers to unveil the economic value added of climate services.</p>

Editorial

2007 ◽  
Vol 32 (3) ◽  
pp. 5-6
Author(s):  
Nicholas Wilkinson
Keyword(s):  
Decision Making ◽  
Physical Properties ◽  
Manufacturing Industries ◽  
High Tech ◽  
Building Industry ◽  
Mass Housing ◽  
Steel Construction ◽  
Relationship Problem ◽  
Per Se

The Support and Infill concept has been generally accepted and adopted by the design disciplines as well as the construction and manufacturing industries. Support and Infill were developed as an alternative to mass housing (Habraken 1961) The author argued that mass housing made no sense because of the absence of the user as a player in the housing process. This led to all sorts ills and wasted opportunities. This was mainly a relationship problem between the inhabitant and the dwelling itself resulting in identical units in identical blocks in identical neighborhoods which never changed nor ever moved until the mass demolishers came in to make way for something better which often was ‘supports’. Overlapping with this concept, Open Building emerges describing decision making levels of the urban tissue, supports, infill and all their spatial and physical properties and components. Now Time Based Architecture (TBA) (Leupen 2005) has come to the front. It is, as the name suggests, an Architecture which does not resist change but which embraces it. It is something close to Supports and Open Building but slightly different. All Supports are TBA edifices but not all TBA edifices are Supports? To explain this it is perhaps sufficient to say here that Supports did not deal in flexibility per se but with restructuring the building industry, to re-orientate decision making and also a large amount of attention was paid to modular co-ordination. TBA addresses this but also crosses borders into high tech buildings, flexibility and explores the use of contemporary materials and the flexible nature of glass and steel construction.

Using OLAP Tools for e-HRM

2011 ◽  
pp. 252-265
Author(s):  
Alysson Bolognesi Prado ◽  
Carmen Freitas ◽  
Thiago Ricardo Sbrici
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Data Warehouse ◽  
End Users ◽  
Web Portal ◽  
Business Information ◽  
On Line ◽  
Analytical Processing ◽  
Resource Data ◽  
Support Decision Making

In the growing challenge of managing people, Human Resources need effective artifacts to support decision making. On Line Analytical Processing is intended to make business information available for managers, and HR departments can now encompass this technology. This paper describes a project in which the authors built a Data Warehouse containing actual Human Resource data. This paper provides data models and shows their use through OLAP software and their presentation to end-users using a web portal. The authors also discuss the progress, and some obstacles of the project, from the IT staff’s viewpoint.

The Use of Artificial Intelligence Systems for Support of Medical Decision-Making

2011 ◽  
pp. 1017-1029
Author(s):  
William Claster ◽  
Nader Ghotbi ◽  
Subana Shanmuganathan
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Statistical Analysis ◽  
Medical Records ◽  
Clinical Decision Making ◽  
Ct Scanning ◽  
Clinical Decision ◽  
Radiology Department ◽  
Self Organizing Map ◽  
One Year

There is a treasure trove of hidden information in the textual and narrative data of medical records that can be deciphered by text-mining techniques. The information provided by these methods can provide a basis for medical artificial intelligence and help support or improve clinical decision making by medical doctors. In this paper we extend previous work in an effort to extract meaningful information from free text medical records. We discuss a methodology for the analysis of medical records using some statistical analysis and the Kohonen Self-Organizing Map (SOM). The medical data derive from about 700 pediatric patients’ radiology department records where CT (Computed Tomography) scanning was used as part of a diagnostic exploration. The patients underwent CT scanning (single and multiple) throughout a one-year period in 2004 at the Nagasaki University Medical Hospital. Our approach led to a model based on SOM clusters and statistical analysis which may suggest a strategy for limiting CT scan requests. This is important because radiation at levels ordinarily used for CT scanning may pose significant health risks especially to children.

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