Testing a model of delinquency with Samoan adolescents

2011 ◽  
Vol 13 (1) ◽  
pp. 54-74 ◽  
Author(s):  
Meripa T Godinet
Keyword(s):  
Acculturative Stress ◽  
Structural Equation ◽  
Juvenile Justice System ◽  
Economic Status ◽  
Measurement Model ◽  
Income Group ◽  
Equation Modeling ◽  
Prosocial Peers ◽  
The Impact ◽  
Predictive Relationship

• Summary: This study uses an integrative framework that includes various theories on delinquency to explain the relative contribution of factors on delinquency among Samoan adolescents and their overrepresentation in the Juvenile Justice System. Some 275 Samoan adolescents were recruited for the study from the states of Hawaii and Washington. Structural equation modeling was employed for the analysis. • Findings: Two models were analyzed. One model tested all the factors regardless of economic status. The full model fits the data well. The other model utilized economic conditions as a moderating factor (multigroup model). The multigroup invariance shows that the measurement model appears to fit better with the higher income group rather than the lower income group. The results suggest that while acculturative stress has a direct impact on delinquency, family cohesion can be a deterrent to high acculturative stress on delinquency particularly for the higher income group. The major hypothesis was confirmed by the data to show that there was a predictive relationship between involvement with antisocial peers and delinquency, and prosocial peers and no delinquency. However, it varied by income group. The higher income group showed a stronger predictive relationship of the involvement with prosocial peers and low delinquency. • Applications: Given the results, it is imperative for social workers to understand the impact of acculturation on family members and their family functioning. A better understanding of culture and how it operates within a family as well as an understanding of cultural identity is an important part of service to Samoan families.

The effect of clustering on competitiveness improvement in Hebron

2017 ◽  
Vol 28 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Ibrahim M. Awad ◽  
Alaa A. Amro
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Model Building ◽  
Measurement Model ◽  
Background Information ◽  
Equation Modeling ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to map the cluster in the leather and shoes sector for improving the competitiveness of the firms. Toward this end, the study is organized to examine the impact of clustering on competitiveness improvement. The influence of competitive elements and performance (Porter’s diamond) and balanced score card was utilized. Design/methodology/approach A random sample of 131 respondents was chosen during the period from May 2016 to July 2016. A structural equation modeling (SEM) analysis was applied to investigate the research model. This approach was chosen because of its ability to test casual relationships between constructs with multiple measurement items. Researchers proposed a two-stage model-building process for applying SEM. The measurement model was first examined for instrument validation, followed by an analysis of the structural model for testing associations hypothesized by the research model. Findings The main findings show that there is a unidirectional causal relationship between improvements of performance and achieve competitiveness and also reveal that the Palestinian shoes and leather cluster sector is vital and strong, and conclude that clustering can achieve competitiveness for small- and medium-sized enterprises. Research limitations/implications Future research can examine the relationship between clustering and innovation. The effect of clustering using other clustering models other than Porter’s model is advised to be used for future research. Practical implications The relationships among clustering and competitiveness may provide a practical clue to both, policymakers and researchers on how cluster enhances economic firms such as a skilled workforce, research, development capacity, and infrastructure. This is likely to create assets such as trust, synergy, collaboration and cooperation for improved competitiveness. Originality/value The findings of this study provide background information that can simultaneously be used to analyze relationships among factors of innovation, customer’s satisfaction, internal business and financial performance. This study also identified several essential factors in successful firms, and discussed the implications of these factors for developing organizational strategies to encourage and foster competitiveness.

scholarly journals Identifying the Impact of Strategic Alliances on the Performance of SMEs (Case Study: The Industry of Automotive Parts Manufacturers in Iran)

2017 ◽  
Vol 10 (6) ◽  
pp. 227 ◽  
Author(s):  
Kambiez Talebi ◽  
Jahangir Yadollahi Farsi ◽  
Hamideh Miriasl
Keyword(s):  
Strategic Alliances ◽  
Structural Equation ◽  
Structural Model ◽  
Reliability And Validity ◽  
Measurement Model ◽  
Equation Modeling ◽  
Innovative Capabilities ◽  
Automotive Parts ◽  
Technical Features ◽  
The Impact

This study has investigated the effects of strategic alliances on the performance of small and medium sized enterprises (SMEs) of the industry of automotive parts manufacturers. Questionnaires have been distributed among 400 senior managers of SMEs of the industry of auto parts manufacturers based on stratified random sampling. The data has been analyzed using structural equation modeling software and PLS2 software in two segments of measurement model and structural model. In the first segment, technical features of the questionnaire were tested in terms of reliability and validity. Moreover, in the second segment, t-test was used to test research hypotheses. The results show that there is a significant and positive relationship between the dimensions of strategic alliances, including new opportunities, entrepreneurial and innovative capabilities, social capital, and internationalization of business, and competitive advantage with the performance of SMEs.

scholarly journals MEASUREMENT MODEL: INTERESTS OF BUYING A SAMSUNG BRAND SMARTPHONE WITH CELEBRITY ENDORSER AS AN ANTESEDENT VARIABLES IN THE ERA OF COVID-19

2020 ◽  
Vol 2 (2) ◽  
pp. 353-365
Author(s):  
Ramdani Bayu Putra ◽  
Nandan Limakrisna ◽  
Hasmaynelis Fitri
Keyword(s):  
Structural Equation ◽  
Measurement Model ◽  
Equation Modeling ◽  
Analysis Tool ◽  
Antecedent Variable ◽  
Competitive Prices ◽  
Celebrity Endorser ◽  
And Behavior ◽  
The Impact ◽  
Celebrity Endorsers

The occurrence of the Covid-19 Pandemic around the world has had an impact on changing consumer patterns and behavior. This study aims to analyze the impact of price on the buying interest of Samsung smartphones with Celebrity endorsers as an antecedent variable. The sample in this study were 98 students of the Putra Indonesia University YPTK Padang. This study uses structural equation modeling (SEM) with SmartPLS 3 as an analysis tool. The results of the study found that celebrity endorser is a factor that influences price and buying interest. Meanwhile, the price does not influence buying interest, nor does it play a role in strengthening the influence of Celebrity endorsers on buying interest. For this reason, producers must improve the quality of competitive prices while also maintaining the use of celebrity endorsers in supporting the marketing of their products.

Consequences of consumers’ emotional responses to government’s green initiatives

2019 ◽  
Vol 30 (1) ◽  
pp. 243-259 ◽  
Author(s):  
Ila Mehrotra Anand ◽  
Sanjaya Singh Gaur
Keyword(s):  
Structural Equation ◽  
Positive Emotions ◽  
Emotional Responses ◽  
Measurement Model ◽  
Equation Modeling ◽  
Content Type ◽  
The Government ◽  
The Right ◽  
Positive Word Of Mouth ◽  
The Impact

PurposeA government’s green initiatives are meant to prevent or reduce harm to society. Such initiatives can elicit positive emotions that may lead to generating a supportive public response to the government. The purpose of this paper is to understand the consumers’ emotional response to government’s actions toward making the society sustainable.Design/methodology/approachThe scenario-based experimental design is used in this study where one between-subjects manipulation is created for the government’s green actions, and one between-subjects control condition is created. A total of 140 respondents were assigned to experimental and 121 respondents were assigned to control groups using judgmental sampling. Partial least squares based structural equation modeling and confirmatory factor analysis was used for the testing of both structural and measurement model.FindingsPositive emotions (i.e. gratitude, pride and happiness) that are evoked by the manipulated scenario are found to have a direct impact on the consumers’ outcome behavior (i.e. positive word of mouth, identification with the government, interest in green initiatives of the government and interest in the government’s actions to grow the nation).Originality/valueThe research contributes to the literature on the social sustainability by examining the impact of emotional responses to the government’s green initiatives. This study shows that positive emotions can be evoked in the context of environmental quality by sending the right message to the consumers (i.e. the general public in this case).

Distrust issues in business-to-business e-procurement decisions

2019 ◽  
Vol 32 (6) ◽  
pp. 1071-1088
Author(s):  
Dothang Truong
Keyword(s):  
New Product Development ◽  
Structural Equation ◽  
Selection Process ◽  
Measurement Model ◽  
Equation Modeling ◽  
Intention To Use ◽  
Content Type ◽  
Supplier Integration ◽  
The Impact

Purpose Despite the important role of distrust in predicting the intention to use, existing literature has not studied the impact of distrust on the buyer’s integration with suppliers and their e-procurement usage in the B2B context, creating major gaps in the e-procurement theory. The purpose of this paper is to fill the gaps in the literature by examining the role and impact of distrust in the e-procurement context. Design/methodology/approach Data were collected through a web-based survey of purchasing professionals in the USA. ANOVA was used to compare the level of distrust among companies. In addition, the measurement model and hypotheses were tested using the structural equation modeling method. Findings Empirical findings indicate if buyers have uncertainty or negative expectation on the reliability and capability of the supplier in e-procurement systems, they would tend to hesitate to use e-procurement for purchasing. Furthermore, distrust also inhibits buyers from strengthening the supplier integration through sharing operational and logistics information and collaborating in new product development and purchasing process. Research limitations/implications This paper discovers the vital role of distrust in the e-procurement context. Distrust has a significant impact on a company’s cooperation and commitment with business partners. Additionally, to improve the supplier integration, it is important not only to use e-procurement applications but also to have a mechanism to lower the buyers’ distrust level in e-procurement systems. Practical implications Realizing the important role of distrust, e-procurement vendors could improve the supplier selection process by allowing buyers to review the supplier’s reliability and capability, and to interact with the supplier before making any online purchase. Vendors could also build a better supplier verification system and collaborative mechanism to reduce buyers’ distrust issues. Originality/value Despite the important role of distrust in predicting the intention to use, existing literature has not studied the impact of distrust on the buyer’s integration with suppliers and their e-procurement usage in the B2B context, creating major gaps in the e-procurement theory. This paper fills the gaps in the literature by examining the role and impact of distrust in the e-procurement context.

scholarly journals Budget Participation Capacity Configuration (BPCC), Budgeting Participation Requirement and Product Innovation Performance

2021 ◽  
Vol 13 (10) ◽  
pp. 5614
Author(s):  
Mu-Jung Huang ◽  
Kuo-Chih Cheng ◽  
Shao-Hsi Chung ◽  
Huo-Ming Wang ◽  
Kuo-Hua Wang
Keyword(s):  
Product Innovation ◽  
Structural Equation ◽  
Stock Exchange ◽  
Measurement Model ◽  
Innovation Performance ◽  
Organizational Control ◽  
Equation Modeling ◽  
Study Results ◽  
Participation Requirement ◽  
The Impact

As the relationship between the execution of budget participation and innovation performance is still full of controversy, and the innovation capability formed by the important control elements of the organization is the key to bring about product innovation performance, this study aims to explore the impact of the formation of product innovation capabilities on product innovation performance under the demand for budget participation. This study proposes the concept of budget participation capacity configuration (BPCC), which is the integration of procedural justice, self-efficacy, and trust in superiors. This study adopted a questionnaire survey to collect sample data from production managers of the electronics-related companies listed on the Taiwan Stock Exchange and employed structural equation modeling to verify measurement model fit and research hypotheses. The study results present that budgeting participation requirement does not directly affect product innovation performance and confirms that the three organizational control elements together constitute BPCC, which plays a fully intermediary role between budget participation requirement and product innovation performance. The contribution of this research for academic theory is to put forward an explanation of the budget participation-innovation performance dispute, and propose an integrated viewpoint for organizational control elements instead of fragmental studies in the past. For practice, this research provides new evidence for budget participation requirements and sources of innovation capabilities.

scholarly journals Satisfaction of E-Learners with Electronic Learning Service Quality Using the SERVQUAL Model

2021 ◽  
Vol 7 (4) ◽  
pp. 227
Author(s):  
Razia Sultana Sumi ◽  
Golam Kabir
Keyword(s):  
Service Quality ◽  
User Satisfaction ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Modeling ◽  
Website Design ◽  
Distance Teaching ◽  
Electronic Learning ◽  
E Learning ◽  
The Impact

Electronic learning (E-learning) is an innovative learning tool that provides an opportunity for technology-driven distance teaching. E-learning not only enhances learning quality, but it has also become the only medium of learning during the COVID-19 pandemic, when people have been forced to stay at home. Due to the pandemic, most countries have initiated online learning to continue the learning process, thus lessening the study gap. Against this backdrop, it is imperative to explore the perception and satisfaction level of e-learners regarding e-learning tools. In this study, a quantitative approach was conducted on the students of two leading public universities (graduates and postgraduates) to identify the impact of the determinants of the SERVQUAL model (reliability, responsiveness, assurance, empathy, and website design), as well as ‘learning content’, on overall perceived quality and satisfaction. In total, 895 respondents participated in the study, and data were analyzed with Amos 23 to confirm the hypotheses, utilizing structural equation modeling. The findings reveal that all the variables of the measurement model had a significant effect on perceived service quality and thus user satisfaction except for responsibility. The results make a significant contribution to those decision-makers and university authorities attempting to ensure e-learners’ satisfaction.

scholarly journals The Impact of Teaching Resiliency on Students' Happiness and Defense Style

2016 ◽  
Vol 6 (3) ◽  
Author(s):  
Ronak Maroufi
Keyword(s):  
Structural Equation ◽  
First Grade ◽  
Measurement Model ◽  
Male Students ◽  
Equation Modeling ◽  
Statistical Population ◽  
Defense Style ◽  
Male High School ◽  
Technical Features ◽  
The Impact

<p>The present study was aimed to examine the effect of teaching resiliency on students' happiness and defense style. It was practical in terms of objective; and it was survey-descriptive in terms of data collection method. The statistical population consisted of all male high-school first-grade students (430 individuals) of Tehran's fourth region, from 2015 to 2016. From them, 181 individuals were selected as sample size, using stratified random sampling and Morgan table. Then they were given questionnaires. The present research tool consisted of Bartone's et al Resiliency models (2009), Wood's et al happiness (2010), and Walsh's et al defense style (2010). Analysis of data was done using Structural Equation Modeling method and AMOS 20 software in two sections:  measurement model and a structural section. In the first section, technical features of questionnaires were examined by AMOS software. In the second section, significance coefficients of the software were used in order to examine research hypotheses. Research results approved of the positive, significant effect of teaching Resiliency on male students' happiness and defense style in statistical population. </p>

scholarly journals An extensive comparison of CB-SEM and PLS-SEM for reliability and validity

2020 ◽  
pp. 357-364
Author(s):  
Asyraf Afthanorhan ◽  
Zainudin Awang ◽  
Nazim Aimran
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Reliability And Validity ◽  
Measurement Model ◽  
Equation Modeling ◽  
Unbiased Estimation ◽  
Crucial Issue ◽  
R Software ◽  
Erroneous Result ◽  
The Impact

Structural Equation Modeling (SEM) includes measurement and structural model for hypothesis testing. The results yielded from structural model is unlikely to be valid if a poor loading of an indicator is selected. The impact of these erroneous result on standardized loading is disregard. Thus, knowing how poor loading can affect the validity of measurement model is a crucial issue. This paper attempts to compare the standardized loadings result between two prominent SEM methods (CBSEM and PLS-SEM) using three varied of simula-tion models (TRA, Loyalty and UTAUT model) to investigate their effects on reliability and validity of measurement model. The data for each model were generated using R software by setting the value of standardized loading and the construct correlations (N=50, 100, 200 and 500). The value of standardized loadings was set to 0.60 for each construct in the model while the construct correlations were set in the range between 0.45 to 0.65. Then, the AMOS 21.0 and ADANCO 2.0 were used to perform the statistical analysis. It shows that good standardized loading can increase the reliability and validity of construct representation. CBSEM is particularly yielded valid and unbiased estimation under confirmatory condition (established theory) compared with PLS-SEM. The results are illustrated with empirical examples. This paper provides updated evidence about CBSEM and PLS-SEM when assessing the measurement model.

scholarly journals Community Safety Behavior in Response to Coronavirus Pandemic

2021 ◽  
pp. 105413732110339
Author(s):  
Ruqia Khan ◽  
Tayyba Fatima ◽  
Thurasamy Ramayah ◽  
Tahir M. Awan ◽  
Zakia K. Kayani
Keyword(s):  
Structural Equation ◽  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Perceived Barriers ◽  
Community Safety ◽  
Equation Modeling ◽  
Safety Behavior ◽  
Online Questionnaire ◽  
The Impact

The purpose of this study is to explore the behavior and lifestyle of individuals in response to the coronavirus that the safety behavior of people in the coronavirus disease of 2019 pandemic. Hence, the study integrates the theory of planned behavior and the health belief model to understand the behavioral change in response to the coronavirus pandemic. The current study is qualitative therefore, a survey-based online questionnaire was used for data collection from university students and staff (faculty and nonfaculty) residing in top-tier cities of Pakistan, nonprobability convenient sampling was used to approach the audience. A two-stage approach was used to test the model using partial least square (variance-based structural equation modeling). The reliability and validity of the measurement model indicate that the data is reliable and valid. Outcomes prove all the relationships as proposed by the study, except for the impact of perceived barriers on intention and individual safety behavior. Perceived barriers act as obstacles that abstain individuals from following the standard operating procedures. The research agenda provides new insights into the fields of marketing, health care, consumer behavior, and behavioral studies. It contributes to the existing literature in the field of social marketing by studying the behavior and changes in the behavior of people in the global pandemic.

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