scholarly journals Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling

2020 ◽  
Vol 17 (23) ◽  
pp. 8797
Author(s):  
Savalee Uttra ◽  
Napat Laddawan ◽  
Vatanavongs Ratanavaraha ◽  
Sajjakaj Jomnonkwao
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Behavioral Changes ◽  
Equation Modeling ◽  
Internal Factors ◽  
Men And Women ◽  
Key Factor ◽  
Perceived Behavior Control ◽  
Motorcycle Rider ◽  
Self Administered Questionnaire

Road accidents are caused by humans, vehicles, and road environments. Human attitudes affect behavioral changes and can lead to unsafe riding behavior. The sex of an individual is a key factor that affects their riding behavior. We aimed to use structural equation modeling (SEM) by analyzing the multi-group SEM between men and women and applying the theory of planned behavior (TPB) and the locus of control (LC) theory. The data used in the research were collected from all over Thailand, consisting of 1516 motorcycle riders (903 men and 613 women) aged over 20 years. A self-administered questionnaire was designed for data collection of the riding behavior using the Motorcycle Rider Behavior Questionnaire (MRBQ), including traffic errors, control errors, stunt frequency, and safety equipment. We found that riding behaviors between men and women were significantly different in both theories. For men, TPB showed that the main factors that highly influenced motorcycle riding behavior (MRB) were the attitudes based on health motivation (AHM) and perceived behavior control (PC); for women, AHM produced a stronger effect than in men. However, for the subjective norms (SN) factor, we found no direct effect on MRB, but did find an indirect effect through the attitudes based on severity (ASE) in both sexes. Particularly for women, the indirect influence value of the SN factor was higher. For women, the LC showed that internal factors had more influence than external factors. The same was found for men, but the effect in women was significantly stronger. We found that sex significantly affected the MRB. Therefore, policies must be implemented that address each group specifically as their attitudes and behaviors are different.

scholarly journals PENGARUH FAKTOR INTERNAL DAN EKSTERNAL TERHADAP SIKAP DAN NIAT PEMBELIAN DARING

2017 ◽  
Vol 19 (2) ◽  
pp. 192 ◽  
Author(s):  
Lorentia Shierly ◽  
Sabrina Sihombing
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Sampling Method ◽  
Online Shopping ◽  
Web Design ◽  
External Factors ◽  
Equation Modeling ◽  
Online Data ◽  
Internal Factors ◽  
Main Factors

Online shopping has grown popularity over the years because of its convenient and can often save money for buyers. There are two main factors that can affect a person to do shopping online: internal factors and external factors. Previous research often focuses on one factor only, that is, internal or external factors in influencing online shopping. Therefore, this research attempts to integrate both internal (i.e., personal innovation and hedonic motivation) and external factors (i.e., web design and eWOM) in predicting attitude and intention to buy online. Data was collected by using questionnaires with non-probability sampling method. The number of respondents was 228 respondents. Data was then analyzed by Structural Equation Modeling (SEM). Results showed that four out of five hypotheses are supported. Specifically, the results showed that personal innovation is not a significant predictor of attitude toward online shopping. This study also provides research limitations and suggestions for further research.

Religion and Spirituality as Determinants of Privacy and Benefits to Use Mobile Applications

2021 ◽  
Vol 11 (2) ◽  
pp. 33-51
Author(s):  
Hasan Abbas
Keyword(s):  
Structural Equation Modeling ◽  
Mobile Applications ◽  
Structural Equation ◽  
Mobile Apps ◽  
Equation Modeling ◽  
Intention To Use ◽  
Religion And Spirituality ◽  
Research Model ◽  
Privacy Calculus ◽  
Self Administered Questionnaire

The main purpose of this study is to investigate the effect of spirituality and religious values on the intention to use mobile apps. The study proposed an extension to privacy calculus theory to identify the effectiveness of religion and spirituality on the intention to use mobile apps. A self-administered questionnaire was created to collect data. Sample size is 1,031 Kuwait communication market mobile users. Structural equation modeling technique is used to measure the fitness of the research model. The results show that religion and spirituality significantly affect privacy and benefits. However, results also show that privacy has no effect on the intention to use mobile apps, but benefits do have a significant effect.

scholarly journals Testing IB theories with meta-analytic structural equation modeling

2016 ◽  
Vol 26 (4) ◽  
pp. 472-492 ◽  
Author(s):  
Ryan W. Tang ◽  
Mike W.-L. Cheung
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Transaction Cost Economics ◽  
Theoretical Models ◽  
Equation Modeling ◽  
Methodological Issues ◽  
Optimal Method ◽  
Internal Factors ◽  
Content Type ◽  
Rigorous Approach

Purpose The purpose of this paper is to illustrate how international business (IB) researchers can benefit from meta-analytic structural equation modeling (MASEM) by introducing a statistically rigorous approach (i.e. two-stage meta-analytic structural equation modeling or TSSEM) and comparing it with a conventional approach (i.e. the univariate-r approach). The illustration and comparison present a methodological overview of MASEM that will assist IB researchers in selecting an optimal method. Design/methodology/approach In this paper, the MASEM method is elaborated upon, and methodological issues are addressed, by comparing the TSSEM and the univariate-r approaches using an empirical illustration. In this illustrative example, which is based on transaction cost economics, the effects of a firm’s internal factors on its levels of commitment in an international entry strategy are examined. Findings The MASEM method can help IB researchers to test and build on IB theories by synthesizing findings in the extant literature because this method reflects the theoretical complexity of IB (e.g. intercorrelationships among factors). Comparing the two approaches of MASEM, it is found in this study that due to its statistical rigorousness TSSEM has methodological advantages in helping IB researchers test theoretical models. Originality/value This is the first study to introduce MASEM into the discipline of IB strategies. In this paper, the authors introduce an advanced research method and illustrate two ways of using it.

De invloed van afwijkende werktijden op de werk-thuis situatie

2010 ◽  
Vol 23 (3) ◽  
Author(s):  
Madelon L.M. van Hooff ◽  
Maartje C. Bakhuys Roozeboom ◽  
Ernest M.M. de Vroome ◽  
Peter G.W. Smulders
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Working Hours ◽  
Moderating Effect ◽  
Causal Effects ◽  
Equation Modeling ◽  
Causal Relationships ◽  
Men And Women ◽  
Home Work ◽  
Work Interference

The influence of working at non-standard working hours on the work-home situation The influence of working at non-standard working hours on the work-home situation M.L.M. van Hooff, M.C. Bakhuys Roozeboom, E.M.M. de Vroome & P.G.W. Smulders, Gedrag & Organisatie, volume 23, September 2010, nr. 3, pp. 175-193. The present study was designed to map the causal relationships between non-standard working hours and work-home interference (WHI) and home-work interference (HWI). To this purpose, a longitudinal full-panel design was employed. Using such a design, we examined both the causal effects of non-standard working hours on WHI /HWI and the causal effects of WHI /HWI on non-standard working hours. We also investigated the moderating effect of gender in these relationships. Data were collected in two waves (2002 and 2004) among 337 Dutch employees and self-employed persons who lived together with a partner and had at least one child living in the household. We included evening work and weekend work as types of non-standard working hours. Data were analyzed by means of structural equation modeling. Results showed that, among women with children, evening work was related to elevated levels of WHI and HWI two years later. A comparable relationship for men with children was not found. A possible explanation for this finding is that for women working at non-standard hours appears to cause WHI and HWI, as working at non-standard hours interferes with their responsibilities at home, which they are still more often accountable for than men. Furthermore, WHI turned out to be related to an increase in evening work and weekend work two years later for both men and women. A possible explanation for this finding is that workers try to reduce WHI by means of working at non-standard hours.

scholarly journals Tourists’ Motivation, Place Attachment, Satisfaction and Support Behavior for Festivals in the Migrant Region of China

2021 ◽  
Vol 13 (9) ◽  
pp. 5210
Author(s):  
Yunyao Zhang ◽  
Keun-Soo Park ◽  
HakJun Song
Keyword(s):  
Structural Equation Modeling ◽  
Place Attachment ◽  
Structural Equation ◽  
Positive Influence ◽  
Place Identity ◽  
Equation Modeling ◽  
Site Survey ◽  
Place Dependence ◽  
Self Administered Questionnaire ◽  
High Effort

This study aimed to explore the relationships among tourist motivation, place attachment, satisfaction and support behavior for hosting festivals in the migrant region of China. A self-administered questionnaire was used to conduct an on-site survey and a second-order structural equation modeling (SEM) technique was employed. The results of the current study showed that visitors’ general festival motivations had a positive influence on their place attachment and satisfaction. Visitors’ theme-related motivations had a positive influence on their place identity and satisfaction. Place dependence and place identity also positively affected their low-effort support behavior. In addition, visitors’ place identity was a positive antecedent of their high-effort support behavior. Visitors’ place attachment had a positive influence on their satisfaction and visitors’ satisfaction positively affected their support behavior. This study encouraged festival organizers to become aware that place attachment performs an important role in attracting tourists, and nostalgia is one of the most important motivations for hosting festivals in the migrant region of China. As a result, this study provides crucial insights that organizers should pay attention to place attachment and place identity in order to satisfy visitors and support festival activities.

scholarly journals Religious Upbringing and Neuroticism in Dutch Twin Families

2007 ◽  
Vol 10 (2) ◽  
pp. 327-333 ◽  
Author(s):  
Gonneke Willemsen ◽  
Dorret I. Boomsma
Keyword(s):  
Structural Equation Modeling ◽  
Environmental Factors ◽  
The Netherlands ◽  
Structural Equation ◽  
Genetic Factors ◽  
Environmental Influences ◽  
Longitudinal Survey ◽  
Equation Modeling ◽  
Men And Women ◽  
Twin Families

AbstractEvidence for a relation between neuroticism and religion is scarce and inconsistent. The aims of the present study were to determine the association of religious upbringing with adult neuroticism scores and to examine the effect of religious upbringing on the heritability of neuroticism. As part of a longitudinal survey of twin families from the Netherlands Twin Register, data were collected on neuroticism and religious upbringing. Restricting the sample to persons aged 25 and over resulted in a sample of 4369 twins and 1304 siblings from 2698 families. Religious upbringing was significantly associated with neuroticism; in both men and women neuroticism levels were lower in those who had received a religious upbringing. There were no sex or twinsibling differences in neuroticism variances and covariances. Structural equation modeling showed differences in heritability between those with and without religious upbringing. In the group with religious upbringing, variation in neuroticism was determined for 41% by additive genetic factors and for the remaining 59% by unique environmental factors. In the group who had not received a religious upbringing, variation in neuroticism was determined for 55% by genetic factors, with evidence for both additive and nonadditive factors, and for the remaining 45% by unique environmental influences. In conclusion, having received a religious upbringing is associated with lower neuroticism scores and a lower heritability in adulthood.

scholarly journals Structure-Behavior Coalescence Design to Improve the Modifiability of Home Care IoT System

2021 ◽  
Vol 15 ◽  
pp. 1759-1765
Author(s):  
Shuh-Ping Sun ◽  
William S. Chao
Keyword(s):  
Structural Equation Modeling ◽  
Home Care ◽  
Statistical Methods ◽  
Structural Equation ◽  
Systems Development ◽  
Flow Diagram ◽  
Equation Modeling ◽  
Computer Algorithms ◽  
Key Factor ◽  
Main Factors

Modifiability improvement is a key factor in the successful Home Care IoT System (HCIS) systems development. It includes disciplined system layering (DSL), well-defined components (WDC), published interface (PI), and well-defined behavior (WDB) which represent the four main factors that enhance the modifiability of HCIS. Structure-Behavior Coalescence (SBC) method uses three fundamental diagrams: a) framework diagram, b) component operation diagram, and c) interaction flow diagram to accomplish the design of HCIS. Through framework diagram, Structure-Behavior Coalescence design of HCIS demonstrates tremendous effects of disciplined system layering. Through component operation diagram, Structure-Behavior Coalescence design of HCIS demonstrates large effects of well-defined components and published interfaces. Through interaction flow diagram, Structure-Behavior Coalescence design of HCIS demonstrates tremendous effects of well-defined behaviors. Structural Equation Modeling (SEM) refers to a diverse set of unrelated computer algorithms and statistical methods, which are suitable for constructing networks for analysis. Applied SEM method can verify that Structure-Behavior Coalescence design is be able to enhance the Modifiability of HCIS.

scholarly journals The Interrelations among Self-efficacy, Happiness, Individual Values, and Attractiveness Promoting Behavior

2018 ◽  
Vol 14 (3) ◽  
pp. 37
Author(s):  
Vesarach Aumeboonsuke
Keyword(s):  
Structural Equation Modeling ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Modeling ◽  
Individual Values ◽  
Perceived Ability ◽  
Key Factor ◽  
Mental Factor ◽  
The Impact

The paper aims to investigate the associations among self-efficacy, happiness, individual values and attractiveness promoting behavior. The impact of self-efficacy and happiness on individual values and attractiveness promoting behavior is analyzed through the partial least squared structural equation modeling (PLS-SEM). The findings provide important implications that both self-efficacy and happiness are important in one’s life but they play different and independent roles. The results found that individual values and attractiveness promoting behavior are independent and they have no significant association with each other. In essence, there is no one perfect solution for all quests. In order for an individual to attain higher level of individual values, psychological and mental factor like happiness should be paid much more attention than perceived ability like self-efficacy. However, self-efficacy is the key factor for an individual to engage oneself in behavior that promote his/her attractiveness. 

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