FACTORS INFLUENCES RESIDENTIAL LOCATION SELECTION PREFERENCES TOWARD FUTURE NEIGHBORHOOD

2016 ◽  
Vol 78 (4) ◽  
Author(s):  
Gobi Krishna Sinniah ◽  
Muhammad Zaly Shah ◽  
Geoff Vigar
Keyword(s):  
Structural Equation ◽  
Residential Location ◽  
Travel Behaviour ◽  
Equation Modeling ◽  
Location Selection ◽  
Transportation Services ◽  
Cultural Aspects ◽  
Significant Relationships ◽  
Household Heads

It is critical to study the travel behaviour of residents as it provides an understanding on what people do over space and how people use transportation within that space. The objective of this study is to identify the factors that determine residential location preferences towards future neighborhood selection. Current literature focuses on preferences in relation to physical and demographic aspects, such as ownership, income, land use, facilities as well as transportation services. However, this study suggests safety and cultural aspects which are likely to be significant in many contexts. In order to further investigate these suggestions, a case study has been carried out based on Iskandar Malaysia’s development region. A Structural Equation Modeling (SEM) is applied to 384 household heads on their housing selection preferences. The result shows that there are significant relationships between residential location preferences and travel behaviour.

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.

Socioeconomic variations and disparity in space–time accessibility in suburban China: A case study of Guangzhou

Urban Studies ◽  
2020 ◽  
pp. 004209802091641
Author(s):  
Zifeng Chen ◽  
Anthony Gar-On Yeh
Keyword(s):  
Structural Equation ◽  
Time Perspective ◽  
Space Time ◽  
Time Constraints ◽  
Service Access ◽  
Service Accessibility ◽  
Home Based ◽  
Household Heads ◽  
And Gender

The concept of conventional place-based accessibility, despite being well researched, tends to ignore people’s space–time constraints arising from mandatory activities (e.g. work and household duties), which confine people’s potential movement and delimit the accessible opportunities. As people with different socioeconomic statuses may have different space–time constraints even while living in similar locations, using the place-based measures could lead to an underestimation of accessibility inequality. This study applies a space–time measure to unravel the disparities in service accessibility in suburban China. Since the late 1970s, suburbanisation in Chinese cities has fostered income inequality and has elevated other dimensions (e.g. institutional status and gender) of disparity within each income class. Within this context, we conduct a case study of suburban neighbourhoods in Guangzhou, based on the activity diary data derived from a home-based questionnaire survey. Findings indicate that the use of a space–time measure effectively captures the disparities in service accessibility among residents in suburban Guangzhou. On the basis of structural equation modelling, we further identify that certain socioeconomic groups (e.g. high-income residents, public sector workers, local hukou holders, male household heads and welfare housing residents) tend to experience fewer space–time constraints from rigid activities, such as work, commuting and household duties, and are thus more advantaged in accessing service facilities. These findings imply that urban planning should address the space–time perspective to promote equal service access for the highly heterogeneous social groups in suburban China and to incorporate time-sensitive policies (e.g. flexitime policies).

Leadership, Innovation Among Tunisian ICT SMEs

2014 ◽  
Vol 22 (03) ◽  
pp. 283-311 ◽  
Author(s):  
Sondes Kacem ◽  
Sana El Harbi
Keyword(s):  
Structural Equation ◽  
Organizational Innovation ◽  
Small And Medium Enterprises ◽  
Collaborative Work ◽  
Chief Executive ◽  
Equation Modeling ◽  
High Tech ◽  
Cultural Aspects ◽  
Implementation Of Innovations ◽  
The Impact

Currently, innovation is a major challenge in emerging economies such as Tunisia. Although the influence of leadership seems evident in the implementation of innovations, few studies have investigated this impact; especially for SMEs in the ICT sector. For this purpose, we propose to highlight the impact of leadership on the implementation of innovations in SMEs through exploratory qualitative study of five small and medium enterprises (SMEs) in the high-tech sector in Tunisia, to understand the management styles of the chief executive officers (CEOs) and their motivations towards innovative activities. The results of this investigation show that the style of leadership in the ICT sector is both participative and transformational. Only organizational innovation has been detected. Collaborative work and group cohesion are the major cultural aspects of innovation. Items from this exploration allows us to clarify aspects of three basic concepts that make up our conceptual model (leadership, culture of innovation, and innovations) for testing later under a quantitative study by the method of structural equation modeling.

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 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.

A Preliminary Study Examining Self-Reported Invincibility, Alcohol Problems, and the Nonmedical Use of Prescription Stimulants in College Students

2021 ◽  
pp. 002204262110372
Author(s):  
Susan Kennedy ◽  
Paula Millin ◽  
Gary J. Kennedy
Keyword(s):  
College Students ◽  
Alcohol Use ◽  
Structural Equation ◽  
Alcohol Problems ◽  
Equation Modeling ◽  
Prescription Stimulants ◽  
Significant Relationships ◽  
Nonmedical Use ◽  
Preliminary Study ◽  
Alcohol Related Problems

The nonmedical use of prescription stimulants (NMUPS) is becoming more common among college students. Identifying the variables associated with NMUPS is important for educational efforts and to promote wellness in vulnerable students. The present study examined the relationships between self-reported invincibility, alcohol problems, and NMUPS in 175 college students. Path analysis tested the hypotheses that males would report higher invincibility that would be related to alcohol use and alcohol problems. Using structural equation modeling, significant relationships were found between invincibility and alcohol-related problems. Alcohol problems may be related to NMUPS. A total effect of invincibility, mediated by alcohol use, may be a path whereby invincibility positively influences NMUPS. Students reporting high levels of invincibility may be at risk for the NMUPS and might benefit from efforts regarding the potential harmful consequences of taking these substances without a prescription.

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.

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