scholarly journals Analysis of building and its components condition assessment case study of dormitory buildings

2019 ◽  
Vol 258 ◽  
pp. 03003
Author(s):  
Sahaduta Linggar ◽  
Akhmad Aminullah ◽  
Andreas Triwiyono
Keyword(s):  
Structural Equation ◽  
Relative Weight ◽  
Condition Assessment ◽  
Public Works ◽  
Assessment Model ◽  
Equation Modeling ◽  
Maintenance Strategy ◽  
Building Maintenance ◽  
Multi Attribute Utility Theory

Condition Assessment of assets is one of stages in assets management system that supports effective and efficient improvement and maintenance strategy. The objective of this paper is to develop a condition assessment model based on important components that build an asset. A building asset hierarchy is proposed in which four main categories that build spaces inside building is the principle element of evaluation. The Physical component in which selected as the variable of this research, based on Regulation of the Minister of Public Works of Indonesia no.24 in 2008 about building maintenance guidelines. Data are collected via questionnaires from experts to ranking and assign relative weights as model’s attribute using Confirmatory Factor Analysis (CFA) in Structural Equation Modeling (SEM) techniques. Multi attribute utility theory (MAUT) is used to calculate entire building condition based on rank and relative weight of selected components. This research model is applied to a case study dormitory of Universitas Gadjah Mada, located in Yogyakarta. Result of the research is condition of the entire building based on components that build spaces inside that building. This result of this research will assist owners and facility managers in select effective and efficient improvement and maintenance strategy for the building.

Condition assessment model of building indoor environment: a case study on educational buildings

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed Eweda ◽  
Abobakr Al-Sakkaf ◽  
Tarek Zayed ◽  
Sabah Alkass
Keyword(s):  
Asset Management ◽  
Environmental Conditions ◽  
Relative Weight ◽  
Condition Assessment ◽  
Facility Management ◽  
Assessment Model ◽  
Indoor Environmental Quality ◽  
Content Type ◽  
Evaluation Scheme ◽  
Multi Attribute Utility Theory

PurposeThe purpose of this study is to develop a condition assessment (CA) model for a building's indoor 21 environments and to improve the building's asset management process.Design/methodology/approachThe methodology is based on dividing the building into spaces, which are the principal evaluated elements based on the building's indoor environmental quality (IEQ). An evaluation scheme was prepared for the identified factors and the analytical hierarchy process (AHP) technique was used to calculate the relative weight of each space inside the building as well as the contribution of each IEQ factors (IEQFs) in the overall environmental condition of each space inside the building. The multi-attribute utility theory (MAUT) was then applied to assess the environmental conditions of the building as a whole and its spaces. An educational building in Canada was evaluated using the developed model.FindingsEach space type was found to have its own IEQFs weights, which confirms the hypothesis that the importance and allocation of each IEQF are dependent on the function and tasks carried out in each space. A similar indoor environmental assessment score was calculated using the developed model and the building CA conducted by the facility management team; “89%” was calculated, using K-mean clustering, for the physical and environmental conditions.Originality/valueIEQ affects occupants' assessment of their quality of life (QOL). Despite the existence of IEQ evaluation models that correlate the building's IEQ and the occupants' perceived indoor assessments, some limitations have led to the necessity of developing a comprehensive model that integrates all factors and their sub-criteria in an assessment scheme that converts all the indoor environmental factors into objective metrics.

Comparing respondents who passed versus failed an Instructional Manipulation Check: A case study about support for climate change policies

2021 ◽  
Vol 63 (4) ◽  
pp. 408-415
Author(s):  
Maria Rubio Juan ◽  
Melanie Revilla
Keyword(s):  
Climate Change ◽  
External Validity ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Manipulation Check ◽  
Climate Change Policies ◽  
Instructional Manipulation ◽  
Using Data

The presence of satisficers among survey respondents threatens survey data quality. To identify such respondents, Oppenheimer et al. developed the Instructional Manipulation Check (IMC), which has been used as a tool to exclude observations from the analyses. However, this practice has raised concerns regarding its effects on the external validity and the substantive conclusions of studies excluding respondents who fail an IMC. Thus, more research on the differences between respondents who pass versus fail an IMC regarding sociodemographic and attitudinal variables is needed. This study compares respondents who passed versus failed an IMC both for descriptive and causal analyses based on structural equation modeling (SEM) using data from an online survey implemented in Spain in 2019. These data were analyzed by Rubio Juan and Revilla without taking into account the results of the IMC. We find that those who passed the IMC do differ significantly from those who failed for two sociodemographic and five attitudinal variables, out of 18 variables compared. Moreover, in terms of substantive conclusions, differences between those who passed and failed the IMC vary depending on the specific variables under study.

scholarly journals The Ecuadorian Banana Farms Managers’ Perceptions: Innovation as a Driver of Environmental Sustainability Practices

Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 213
Author(s):  
Alicia Ramírez-Orellana ◽  
Daniel Ruiz-Palomo ◽  
Alfonso Rojo-Ramírez ◽  
John E. Burgos-Burgos
Keyword(s):  
Information Systems ◽  
Environmental Sustainability ◽  
Structural Equation ◽  
Equation Modeling ◽  
Environmental Practices ◽  
Sustainability Practices ◽  
Policy Incentives ◽  
The Impact ◽  
And Training

This article aims to explore the perceptions of banana farms managers towards environmental sustainability practices through the impact of innovation, adoption of information systems, and training employees through a case study in the province of El Oro (Ecuador). Furthermore, the paper assesses how farmers’ perceptions could guide public policy incentives. PLS-Structural Equation Modeling are used as the framework by which the constructs is represented within the model. The model explained 59% of the environmental sustainability practices of Ecuadorian banana farms. The results indicate that environmental sustainability practices were positively influenced mainly by training employees, innovation, and adoption of information systems. Additionally, both the adoption of information systems and training employees indirectly influenced sustainable practices through innovation as a mediator. We may conclude that in the Ecuadorian banana farms, changes in environmental practices are derived from innovation strategies as an axis of development of useful information and training employees in public policies.

scholarly journals Cyber-Empathic Design: A Data Driven Framework for Product Design

2016 ◽  
Author(s):  
Dipanjan D. Ghosh ◽  
Junghan Kim ◽  
Andrew Olewnik ◽  
Arun Lakshmanan ◽  
Kemper E. Lewis
Keyword(s):  
Product Design ◽  
Structural Equation ◽  
Design Space ◽  
Equation Modeling ◽  
Design Decision ◽  
Interaction Data ◽  
Model Framework ◽  
Empathic Design ◽  
Product Interaction

One of the critical tasks in product design is to map information from the consumer space to the design space. Currently, this process is largely dependent on the designer to identify and map how psychological and consumer level factors relate to engineered product attributes. In this way current methodologies lack provision to test a designer’s cognitive reasoning and could therefore introduce bias while mapping from consumer to design space. Also, current dominant frameworks do not include user-product interaction data in design decision making and neither do they assist designers in understanding why a consumer has a particular perception about a product. This paper proposes a new framework — Cyber-Empathic Design — where user-product interaction data is acquired via embedded sensors in the products. To understand the motivations behind consumer perceptions, a network of latent constructs is used which forms a causal model framework. Structural Equation Modeling is used as the parameter estimation and hypothesis testing technique making the framework falsifiable in nature. To demonstrate the framework and demonstrate its effectiveness a case study of sensor integrated shoes is presented in this work, where two models are compared — one survey based and using the Cyber-Empathic framework model. It is shown that the Cyber-Empathic framework results in improved fit. The case study also demonstrates the technique to test a designers’ cognitive hypothesis.

scholarly journals Study of Sustainability Irigation System

2019 ◽  
Vol 2 (1) ◽  
pp. 79-86
Author(s):  
Melchior Bria ◽  
Sutirto Sutirto ◽  
Anastasia H. Muda
Keyword(s):  
Structural Equation Modeling ◽  
Community Participation ◽  
Structural Equation ◽  
Equation Modeling ◽  
Dam Reservoir ◽  
Irrigation Systems ◽  
Important Indicator ◽  
Building Maintenance ◽  
Operations And Maintenance

One important indicator in the sustainability of irrigation systems is the reliability of irrigation buildings. Some important factors that can influence it are building operations, building maintenance, community participation, and the value of benefits. This article discusses how the influence of each of these factors on the reliability of irrigation buildings. This study was conducted at Haliwen small dam Reservoir in Atambua NTT. The approach used is structural equation modeling (SEM) with WarpPLS. The results of the analysis show that the variables of operation, maintenance and benefit values have a significant effect on the reliability of mall dam reservoir, while community participation does not directly influence the reliability of small Dam reservoir and  the analysis also confirm that to obtain a good value of benefit is highly dependent on community participation in operations and maintenance.

scholarly journals Designing an organizational engagement model using structural equation modeling: case study of National Iranian Oil Company

2019 ◽  
Vol 17 (3) ◽  
pp. 1-13
Author(s):  
Vahideh Delbahari ◽  
Iraj Soltani ◽  
Akbar Etebarian Khorasgani
Keyword(s):  
Employee Engagement ◽  
Structural Equation ◽  
Simple Random Sampling ◽  
Internal Variable ◽  
Assessment Model ◽  
Equation Modeling ◽  
Organizational Engagement ◽  
Engagement Assessment ◽  
The Individual ◽  
Oil Company

Today’s organizations need energetic and engaged employees, those who are interested in their jobs. Generally, the engaged ones love their job and do their job tasks well. If there is no engagement in the organizations, the organization is encountered with serious problems in this ground. This study aims to design engagement assessment model in the organizations and its applied purpose is creating new theoretical basics in the maturity of engagement in the organization and this helps the organizations for better perception and consistency of organizational goals with the goals of employees. The employees of the National Iranian Oil Company constituted the population for this research. The National Iranian Oil Company was selected as the context, because employee engagement has emerged as a critical problem confronting this sector. 356 employees of this company were selected by simple random sampling method and data were collected using a questionnaire. The researcher attempts to answer the question how we can design an engagement assessment model in the organizations. The different dimensions of engagement are identified at individual and organizational levels and then based on the findings, the employees are classified based on the individual and organizational engagement and the results of this study can help the researchers for better recognition of this internal variable and this helps the better understanding of researchers to use it.

scholarly journals Library Service Quality and Student Trust A Case Study of the University of Sumatera Utara Library, Indonesia

2021 ◽  
Vol 41 (5) ◽  
pp. 345-351
Author(s):  
Jonner Hasugian ◽  
Dirmansyah Lubis
Keyword(s):  
Service Quality ◽  
Structural Equation ◽  
Survey Methods ◽  
Equation Modeling ◽  
Library Services ◽  
Information Control ◽  
Student Trust ◽  
Customer Trust ◽  
The University

This study, conducted at the University of Sumatera Utara (USU) Library, aims to know the effect of service quality on customer trust and to determine student trust in library services based on levels of education. The research applied survey methods with quantitative approaches. Samples are determined using the Taro Yamane formula. The questionnaire covers 22 items of three LibQUAL dimensions. Data analysis techniques were performed using Structural Equation Modeling statistical analysis and path analysis by using the Lisrel version 8.5 application program. The results showed that service quality has a positive and significant effect on student trust. The level of trust in the library varies based on the levels of education. The dimensions of service quality with a positive and significant effect on student trust are the information control and the library as a place.

Identifying and treating unobserved heterogeneity with FIMIX-PLS

2016 ◽  
Vol 28 (2) ◽  
pp. 208-224 ◽  
Author(s):  
Lucy M. Matthews ◽  
Marko Sarstedt ◽  
Joseph F. Hair ◽  
Christian M. Ringle
Keyword(s):  
Structural Equation ◽  
Latent Class ◽  
Structural Model ◽  
Unobserved Heterogeneity ◽  
Equation Modeling ◽  
Content Type ◽  
Measurement Models ◽  
European Business ◽  
Number Of Segments

Purpose Part I of this article (European Business Review, Volume 28, Issue 1) offered an overview of unobserved heterogeneity in the context of partial least squares structural equation modeling (PLS-SEM), its prevalence and challenges for social sciences researchers. This paper aims to provide an example that explains how to identify and treat unobserved heterogeneity in PLS-SEM by using the finite mixture PLS (FIMIX-PLS) module in the SmartPLS 3 software (Part II). Design/methodology/approach This case study illustrates the application of FIMIX-PLS using a popular corporate reputation model. Findings The case study demonstrates the capability of FIMIX-PLS to identify whether unobserved heterogeneity significantly affects structural model relationships. Furthermore, it shows that FIMIX-PLS is particularly useful for determining the number of segments to extract from the data. Research limitations/implications Since the introduction of FIMIX-PLS, a range of alternative latent class techniques has appeared. These techniques address some of the limitations of the approach relating to, for example, its failure to handle heterogeneity in measurement models, or its distributional assumptions. This research discusses alternative latent class techniques and calls for the joint use of FIMIX-PLS and PLS prediction-oriented segmentation. Originality/value This article is the first to offer researchers, who have not been exposed to the method, an introduction to FIMIX-PLS. Based on a state-of-the-art review of the technique, the paper offers a step-by-step tutorial on how to use FIMIX-PLS by using the SmartPLS 3 software.

scholarly journals The Effect of Good Governance Mixture in Governmental Organizations on Promotion of Employees’ Job Satisfaction (Case Study: Employees and Faculty Members of Lorestan University)

2016 ◽  
Vol 12 (5) ◽  
pp. 108
Author(s):  
Mahdi Shahin
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Structural Equation ◽  
Good Governance ◽  
Faculty Members ◽  
Equation Modeling ◽  
Alpha Coefficient ◽  
Governmental Organizations ◽  
Confirmatory Factor

<p>The aim of this study was to evaluate the effect of indicators of good governance in public organizations to improve the level of employees’ job satisfaction. The methods were confirmatory factor analysis and structural equation modeling using LISREL software and SPSS18 packages. The population consisted of all faculty members and staff of Lorestan University (N=500), which 217 of them were selected systematically using Kerjisi Morgan table. To collect the data 2 standardized questionnaires consisted of good governance and job satisfaction (residents and Ramadan, 2011) were used and the reliability of the questionnaire was (0.73) by calculating Cronbach’s alpha coefficient. The results of the study showed that the implementation of the indicators of good governance in the organization will lead to an increase in employees’ job satisfaction.</p>

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