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 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.

The Impact of Service Satisfaction, Relational Satisfaction and Commitment on Customer Loyalty in Logistics Outsourcing Relationship

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Sanjit Singh H.
Keyword(s):  
Customer Loyalty ◽  
Structural Equation ◽  
Structural Model ◽  
Reliability And Validity ◽  
Service Satisfaction ◽  
Equation Modeling ◽  
Relational Satisfaction ◽  
Logistics Outsourcing ◽  
Major Predictor ◽  
The Impact

This research explores the impact of service satisfaction, relational satisfaction, price satisfaction, and commitment on customer loyalty in logistics outsourcing relationships in Indian scenario. 254 users of logistics services from India were selected for investigating the potential linkages among the aforementioned satisfaction aspects and loyalty. Structural equation modeling (SEM) was employed to test the reliability and validity of the measurement and structural model developed to study the relationship among the linkages. Findings from the study supports that logistics service satisfaction, price satisfaction, relational satisfaction and commitment do influence loyalty positively. The analysis suggests that service satisfaction is the most important antecedent having primary influence in the formation of customer loyalty. Service satisfaction also has secondary influence on loyalty by acting as a strong driver in both relational satisfaction and commitment aspects of the service dimensions. Price satisfaction though positively been driven by service satisfaction, was found to have less significant effect as a predictor of loyalty in this context. The present study suggests that relational satisfaction is the second major predictor of loyalty which also drives commitment. This research is not an end-point but an attempt to establish the linkages and the effect among the antecedents driving the building and retention of good buyer-seller relationship in logistics outsourcing.

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 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 Celebrity Endorsement and Purchase Intention: A Structural Equation Modeling Approach

2019 ◽  
Vol 22 (1) ◽  
pp. 35-46
Author(s):  
Sajeeb Kumar Shrestha
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Structural Model ◽  
Marketing Research ◽  
Measurement Model ◽  
Equation Modeling ◽  
Celebrity Endorsement ◽  
Structure Equation Modeling ◽  
Major Factors ◽  
The Impact

 This study tries to measure the impact of celebrity endorsement on purchase intention in Kathmandu City. Structured questionnaires were as administered to collect data. 200 samples were taken. Structure Equation Modeling was applied via EFA, CFA and SEM to refine the constructs, to validate the measurement model and to test hypotheses of structural model. This research confirmed that similarity, matching and familiarity of endorser’s are the major factors for increasing purchase intention in Kathmandu City. No support was established for expertise and trustworthiness to enhance purchase intention. This study contributes in marketing research that how celebrity influences purchase intention towards endorsed products or services.

scholarly journals How job-related diversity affects boards’ strategic tasks performance: the role of chairperson

2020 ◽  
Vol 20 (4) ◽  
pp. 583-599 ◽  
Author(s):  
Sadi Boğaç Kanadlı ◽  
Pingying Zhang ◽  
Nada K. Kakabadse
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Board Diversity ◽  
Leadership Efficacy ◽  
Content Type ◽  
Board Leadership ◽  
The Impact

Purpose Board diversity has been a hotly debated topic in the field of corporate governance. The paper examines the role of board chairperson and its moderating effect on the relationship between job-related diversity and boards’ strategic tasks performance. The purpose of this paper is to add on our body of knowledge about the impact of job-related diversity on boards’ strategic tasks performance. Design/methodology/approach The paper applies the structural equation modeling (SEM) technique to examine survey responses from chief executive officers (CEOs). Both the measurement model and structural model have obtained good results, supporting the appropriateness of using the SEM approach. Findings The findings suggest that there is a positive association between job-related diversity and boards’ strategic tasks performance, which is moderated by a chairperson’s leadership efficacy and the option of a former-CEO as board chair. Practical implications To achieve the intended effect of job-related diversity in boards, policymakers need to be mindful about the importance of the board chairperson. Board chairperson’s characteristics such as leadership efficacy and a former-CEO experience would amplify the positive effect of diversity. Originality/value This research paper contributes to the literature on board diversity, board leadership and strategic management of firms. Findings validated researchers’ concern about the negligence of examining moderating factors in board diversity research. Moreover, results echo the concern that board leadership research should shift the attention from structural aspects to the behavioral issues. Finally, this study is the first to show the positive influence of a board chairperson in disseminating benefits of a diverse board.

scholarly journals PERSEPSI MASYARAKAT TERHADAP KEBIJAKAN TRANS KOETARADJA PADA KORIDOR PUSAT KOTA – MATA IE DAN PUSAT KOTA – AJUN – LHOKNGA MENGGUNAKAN INDIKATOR VARIABEL LATEN

2019 ◽  
Vol 2 (1) ◽  
pp. 58-67
Author(s):  
Muhammad Merfazi ◽  
Sugiarto Sugiarto ◽  
Renni Anggraini
Keyword(s):  
Latent Variable ◽  
Structural Equation ◽  
Structural Model ◽  
Stated Preference ◽  
Measurement Model ◽  
Equation Modeling ◽  
Regression Equations ◽  
Community Perception ◽  
City Center ◽  
The Impact

Community dependence on private transportation modes is a major factor in congestion in Banda Aceh. For this reason, the Aceh government implemented the operation policy of Trans Koetaradja to reduce the impact of congestion. Community perception is one of the important aspects in policy making, because by involving the community, decision makers will be able to capture the views, needs and expectations of the community. The purpose of this study is to examine public perceptions of the Trans Koetaradja policy as a case study at 2 (two) corridors, City Center - Mata Ie and City Center - Ajun - Lhoknga. The data collection method used was Stated Preference (SP) with a total of 220 respondents by stratified random sampling. The SP questionnaire contains information about socio-economic, travel behavior, and respondents' perceptions. The result of perception showed that all psychological questions had a good value above 2.5 (average) which was 2.81 (70.20%) from the reference of the 1-4 Likert scale with the indicator with the highest level of acceptance of 3.32 that was a private vehicle needed in everyday life. Data processing and analysis used the Multiple Indicators Multiple Causes (MIMIC) model which was one of the branches of Structural Equation Modeling (SEM), the regression parameters calibrated using Lisrel 9.3 software to produce a measurement model that was the perception of "personal mode dependence (t-value, 5.13)", whereas in the structural model produced five multiple regression equations with the most significant factor affecting each latent variable was "education".

scholarly journals Celebrity Endorsement and Purchase Intention: A Structural Equation Modeling Approach

2019 ◽  
Vol 22 (2) ◽  
pp. 35-46
Author(s):  
Sajeeb Kumar Shrestha
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Structural Model ◽  
Marketing Research ◽  
Measurement Model ◽  
Equation Modeling ◽  
Celebrity Endorsement ◽  
Structure Equation Modeling ◽  
Major Factors ◽  
The Impact

 This study tries to measure the impact of celebrity endorsement on purchase intention in Kathmandu City. Structured questionnaires were as administered to collect data. 200 samples were taken. Structure Equation Modeling was applied via EFA, CFA and SEM to refine the constructs, to validate the measurement model and to test hypotheses of structural model. This research confirmed that similarity, matching and familiarity of endorser’s are the major factors for increasing purchase intention in Kathmandu City. No support was established for expertise and trustworthiness to enhance purchase intention. This study contributes in marketing research that how celebrity influences purchase intention towards endorsed products or services.

scholarly journals Development of a System Measurement Model of the Brazilian Hospital Accreditation System

2018 ◽  
Vol 15 (11) ◽  
pp. 2520 ◽  
Author(s):  
João Corrêa ◽  
João Turrioni ◽  
Carlos Mello ◽  
Ana Santos ◽  
Carlos da Silva ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Scientific Software ◽  
Health Organizations ◽  
Hospital Accreditation ◽  
Management Quality ◽  
Culture Process

The purpose of this study is to develop and validate a measurement model that evaluates the Brazilian hospital accreditation methodology (ONA), based on a multivariate model using structural equation modeling (SEM). The information used to develop the model was obtained from a questionnaire sent to all organizations accredited by the ONA methodology. A model was built based on the data obtained and tested through a structural equation modeling (SEM) technique using the LISREL® software (Scientific Software International, Inc., Skokie, IL, USA). Four different tests were performed: Initial, calibrated, simulated, and cross-validation models. By analyzing and validating the proposed measurement model, it can be verified that the selected factors satisfy the required criteria for the development of a structural model. The results show that leadership action is one of the most important factors in the process of health services accredited by ONA. Although, leadership, staff management, quality management, organizational culture, process orientation, and safety are strongly linked to the development of health organizations, and directly influence the accreditation process.

Determinants of the Behavioural Intentions of Households to Recycle E-Waste in Sri Lanka

2019 ◽  
Vol 9 (8) ◽  
pp. 202-216
Author(s):  
N.P Ravindra Deyshappriya ◽  
M.M.T.D.M Kumari
Keyword(s):  
Sri Lanka ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Waste Recycling ◽  
Behavioural Intentions ◽  
Urban Rural ◽  
Statistical Relationships ◽  
The Impact ◽  
Socio Economic Factors

This study seeks to recognize the determinants of behavioural intentions of households to recycle e-waste (ER = e-waste recycling) in Sri Lanka. Structural equation modelling was applied to analyse the data of 230 households. The measurement model confirmed the appropriateness of the considered constructs and variables to estimate statistical relationships among the recognized variables. The structural model emphasized that factors such as environmental awareness, attitude to recycling, social pressure, and rules and regulations positively affect the behavioural intentions to recycle e-waste while the inconvenience and cost of recycling affect it negatively in Sri Lanka. Apart from that the moderating effect stresses that previous experience in ER reduces the inconvenience of recycling and therefore past experience of ER indirectly increases the perception of ER. This study also highlights that socio-economic factors such as education, age, household size, gender, and income significantly affect the behavioural intentions to recycle e-waste and the impact of these demographic factors varies across the urban, rural, and state sectors.

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