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 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.

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 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 Green product purchase intention: impact of green brands, attitude, and knowledge

2016 ◽  
Vol 118 (12) ◽  
pp. 2893-2910 ◽  
Author(s):  
Norazah Mohd Suki
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Modeling ◽  
Green Product ◽  
Brand Positioning ◽  
Content Type ◽  
Brand Knowledge ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is threefold: to assess the impact of green brand positioning, consumers’ attitude toward green brands, and green brand knowledge on green product purchase intention; to investigate the influence of green brand knowledge on consumers’ attitude toward green brands; and to examine the moderating effect of green brand knowledge on the relationship between green brand positioning and green product purchase intention. Design/methodology/approach A questionnaire was utilized to gather the data (n=300) for this study. The purposive sampling technique was used, involving respondents who practice a green lifestyle and have had green product purchasing experience. The partial least squares (PLS) method, which is a variance-based technique for the analysis of structural equation modeling, was used to analyze the data, with the assistance of the SmartPLS computer program version 2.0. Findings Based on the standardized path coefficients of the structural model from the PLS results, green brand knowledge was found to be the most significant determinant of green product purchase intention. Knowledge of green brands has caused consumers to develop positive green marketing awareness and has bolstered their interest in fortifying the environment whilst preventing its degradation. Furthermore, green brand knowledge also impacted consumers’ attitude toward green brands. However, this factor was an insignificant moderator of the impact between green brand positioning and green product purchase intention. Practical implications Green brand positioning can be used by firms and businesses to better market their products and improve consumers’ green brand knowledge and attitude toward green brands, as well as increase green brand purchase intentions. Successful green brand positioning is seen as an advantage for marketers that can be used to differentiate their products from the available competitors, giving the impression that their products are distinguishable, and thus creating more demand and generating increased intention to purchase more green products. Originality/value The empirical results of this study address the gap in the prevailing body of literature in reference to the impact of green brand positioning and consumer attitude toward green brands, as well as the effect of green brand knowledge on green product purchase intention. This study found that green brand knowledge does not moderate the relationship between green brand positioning and green product purchase intention, thus providing insight into this subject matter, which has not been clearly examined in previous studies.

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 Customer Response towards Smart Phones Purchase: Verification from Structural Equation Modeling

2017 ◽  
Vol 31 (1-2) ◽  
pp. 75-88
Author(s):  
Sajeeb Kumar Shrestha
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Structural Model ◽  
Smart Phone ◽  
Brand Extension ◽  
Measurement Model ◽  
Influential Factors ◽  
Smart Phones ◽  
Equation Modeling ◽  
Premium Price

 This research attempts to examine the customer response towards smart phone purchase in the Nepalese context. The aim of the study was to measure the important factors that affect to consumer purchase intention, brand extension attitude and pay premium price. Descriptive and causal research design was applied in this research. Structured questionnaires were administered for validating the measurement model and testing the structural model for customer response dimensions. It was found brand name, marketing activities, and subjective norms are the most influential factors for customer response of smart phones for purchase intention, brand extension attitude and premium price.

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.

scholarly journals eWOM in C2C Platforms: Combining IAM and Customer Satisfaction to Examine the Impact on Purchase Intention

2021 ◽  
Vol 16 (5) ◽  
pp. 1612-1630
Author(s):  
Salvador Bueno ◽  
M. Dolores Gallego
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Purchase Intention ◽  
Structural Equation ◽  
Source Credibility ◽  
Positive Impact ◽  
Equation Modeling ◽  
Research Model ◽  
Argument Quality ◽  
The Impact

This study is focused on communications that come from consumer-to-consumer (C2C) ecommerce relationships. This topic is directly associated with the electronic word-of-mouth (eWOM) phenomenon. eWOM is related to the set of positive or negative opinions made by potential, actual, or former customers about a seller. The present study proposes a structural equation modeling with partial least squares (PLS-SEM) research model to analyze consumers’ opinions impact on attitude toward purchasing. This model is based on the Information Adoption Model (IAM) in combination with an ecommerce satisfaction perspective, comprising five constructs: (1) service quality, (2) ecommerce satisfaction, (3) argument quality, (4) source credibility and (5) purchase intention. The model was tested by applying the Smart Partial Least Squares (SmartPLS) software for which 116 effective data from customers of the Taobao C2C platform were used. The findings reveal that all of the defined relationships were supported, confirming the positive impact of all the proposed constructs on the purchase intention. In this respect, the findings suggest that C2C platforms should strengthen the analyzed connections to grow the business and to promote transactions. Finally, implications and limitations related to the explanatory capacity and the sample are identified.

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