scholarly journals Green Marketing Approaches and Their Impact on Consumer Behavior towards the Environment—A Study from the UAE

2020 ◽  
Vol 12 (21) ◽  
pp. 8977 ◽  
Author(s):  
Muhammad Salman Shabbir ◽  
Mohammed Ali Bait Ali Sulaiman ◽  
Nabil Hasan Al-Kumaim ◽  
Arshad Mahmood ◽  
Mazhar Abbas
Keyword(s):  
Factor Analysis ◽  
Consumer Behavior ◽  
Goodness Of Fit ◽  
Positive Influence ◽  
Green Marketing ◽  
Practical Significance ◽  
Equation Modeling ◽  
Environmental Concerns ◽  
Green Products ◽  
Measurement Models

The purpose of this study was to analyze the main green marketing approaches and their impact on consumer behavior towards the environment in the United Arab Emirates (UAE). We reviewed the current consumption patterns of green products using a questionnaire approach. For this study, 359 consumers that used any type of green product were selected in various shopping malls in the UAE. For the assessment of questionnaire responses, measurement models, such as confirmatory factor analysis (CFA), and structural equation modeling (SEM) approaches were applied. The findings of the study suggest interesting inferences regarding eco-labeling (EL), green packaging and branding (GPB), green products, premium, and pricing (GPPP), and the environmental concerns and beliefs (ECB) of consumers that affect their perceptions of the environment. Factor analysis provided a goodness of fit for the selected items. It was found that key factors of green marketing, such as EL and GPPP, have a significant positive influence on consumer beliefs towards the environment (CBTE). In addition, environmental concerns and beliefs (ECB) also have a significant and positive influence on CBTE in the UAE. The practical significance of this study is that it will help the progress of the integration of green marketing and consumer behavior theories about the environment. The managerial implications of this study include the provision of significant findings for both domestic and international firms for the promotion of green products through focusing on consumer behavior towards the environment. This study provides important guidelines to boost positive attitudes in society towards green marketing and helps companies develop effective strategies to promote their green products.

scholarly journals Validating a research professionalism model for faculty members at the Tabriz University of Medical Sciences: partial least squares structural equations modeling

2020 ◽  
Vol 9 (1) ◽  
pp. 2-2
Author(s):  
Monireh Sabouri ◽  
Behnam Talebi ◽  
Zarrin Daneshvar Harris ◽  
Mahasti Alizadeh
Keyword(s):  
Factor Analysis ◽  
Goodness Of Fit ◽  
Reliability And Validity ◽  
Structural Equations ◽  
Faculty Members ◽  
Equation Modeling ◽  
Medical Sciences ◽  
Statistical Population ◽  
Measurement Models ◽  
Order Factor

Background: All researchers who carry out scientific research should consider the observance of research professionalism, which is indispensable. This study was carried out to validate a research professionalism model for faculty members at the Tabriz University of Medical Sciences.Methods: The research methods used in this study were applied in terms of the research purpose and survey for data collection. The statistical population consisted of all faculty members at the Tabriz University of Medical Sciences, of whom 16 individuals were selected through purposeful sampling for the qualitative section and 260 were selected through stratified random sampling for the quantitative section. Data gathering tools included interviews and questionnaires. Cronbach’s alpha and content validity were used to determine the reliability and validity of the measurement tools. The grounded theory method was used to analyze the qualitative data, and structural equation modeling (PLS) was used for the quantitative data. Results: Research ethics model based on causal conditions, contextual and interventional factors, strategies, developing consequences and results of a first order factor analysis showed that the measurement models possessed composite reliability, divergent validity and convergent validity. The results of a second order factor analysis showed that structural models possessed an average or above coefficient of determination R² as well as an above-average Q2 prediction criterion. T values were significant (P>0.05). Goodness of fit (GOF) was 41 (not significant). Conclusion: The designed model shows both reliability and validity and an acceptable goodness of fit. Given the multidimensional nature of research professionalism, its promotion requires a systematic look at the foreground, concurrent events, consequences, and feedback on each dimension and related structures.

scholarly journals ASSESSING THE FACTORS CAUSING PROJECT COMPLETION DELAYS IN THE CONSTRUCTION SECTOR OF OMAN USING SEM-PLS

2020 ◽  
Vol 8 (3) ◽  
pp. 900-912 ◽  
Author(s):  
Iman Suleiman Al Maktoumi ◽  
Firdouse Rahman Khan ◽  
Ahmed Rashid Suwied Al Maktoumi
Keyword(s):  
Structural Equation ◽  
Construction Projects ◽  
Goodness Of Fit ◽  
Raw Materials ◽  
Equation Modeling ◽  
Related Factors ◽  
Formative Measurement ◽  
Project Completion ◽  
Measurement Models ◽  
Process Allocation

Purpose: The objectives of the study were to investigate the causes of the delays to analyze the factors causing the construction delay in Oman and to investigate the effects of such delays. Design/methodology/approach: To carry out this study 210 samples were collected through a well-defined questionnaire from the construction stakeholders viz. the consultants, contractors, and the clients who were selected on a random sampling basis. Smart PLS for Structural Equation Modeling (SEM) technique was used to analyze the data to obtain the formative measurement models, the structured model, and the goodness of fit. Findings: The results of the study reveal that the client-related factors, equipment-related factors, and material related factors have a significant impact on the completion delay in construction projects. The findings of the study also revealed that the Client related factors were – Delay in providing services, Delayed decision-making process, Allocation of insufficient time. Equipment related factors were – Existing low productive equipment, Unskillful Equipment operator, Breakdown of equipment and Outdated equipment; Material related factors were – Delay in supply of raw materials, Non-availability of materials, Change of materials during construction, Non-availability of accessories and Damaged materials. Research limitations/Implications: The present study covers the stakeholders of the construction projects from selected regions only. The future studies can be extended to other projects and other regions as well. Social implications: The study suggested that the clients’ cooperation especially in providing the contractors with the necessary equipment, facilities, and sufficient time will avoid such delays of the construction projects in Oman. Originality/Value: Only very few have examined the completion delay of the construction projects in Oman using SEM-PLS and it is a first-hand study of its kind and the results will be useful to the stakeholders.

Multiple dimensions of e-healthcare ethics and its relationship to the ethical concerns of the consumer

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Prachi Verma ◽  
Satinder Kumar ◽  
Sanjeev K. Sharma
Keyword(s):  
Health Care ◽  
Factor Analysis ◽  
Health Services ◽  
Practical Significance ◽  
Equation Modeling ◽  
Healthcare Ethics ◽  
Correct Judgment ◽  
Content Type ◽  
Content Quality ◽  
Ethical Concerns

Purpose This study aims to explore the different dimensions of e-healthcare ethics and their relationships, influencing the ethical concerns of the consumer in making ethical e-healthcare choices. Design/methodology/approach A study was conducted at two identified major hospitals of Punjab (a private hospital) and Chandigarh (a public hospital), India providing e-healthcare services with the help of a self-administered questionnaire. The respondents were identified from the waiting areas of the selected hospitals, and only those respondents were selected for the study, who agreed to be aware of e-health services and were using them for some time. The statistical analysis was done using the structural equation modeling technique and included both exploratory and confirmatory factor analysis using SPSS 20 and AMOS 21. Findings Exploratory factor analysis extracted five dimensions of ethical concerns of the consumer, which include service promotion, content quality, candor, professionalism and confidentiality. The results signify that content quality plays a significant role in ethics, followed by candor, service promotion and confidentiality. However, the relationship with professionalism did not prove to be significant for the ethical concerns of the e-health consumer. Practical implications This research delivers a practical significance in identifying the critical dimensions of the ethical concerns of the consumer while selecting e-health services. It gives an insight into the various dimensions, which should be considered by the e-health providers while crafting e-health services to make it more ethically acceptable by the consumers. Originality/value By using e-health services, consumers play an active role in their health-care decisions. The consumers need to consider ethics while choosing health-care services as an ethical judgment will also be the correct judgment. This study helps in the identification of the significant dimensions for the ethical concerns of the consumers.

Determinants of intention to use Islamic banking

2019 ◽  
Vol 13 (1) ◽  
pp. 147-163 ◽  
Author(s):  
Samia Ayyub ◽  
Wang Xuhui ◽  
Muhammad Asif ◽  
Rana Muhammad Ayyub
Keyword(s):  
Consumer Behavior ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Practical Significance ◽  
Equation Modeling ◽  
Islamic Banking ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

Purpose This paper aims to explore the determinants of intention to use Islamic banking and compare the consumer behavior of users and non-users of Islamic banking. This study incorporates the theory of planned behavior in Islamic banking perspective with an additional construct from technology acceptance model. Design/methodology/approach The research is quantitative in nature, and survey questionnaire was used to get data from four cities of Pakistan. The study manages to get 300 questionnaires from which only 264 were usable for analysis. The structural equation modeling was used for testing the hypotheses. Findings The result shows that perceived behavior control and perceived usefulness are the most significant predictors of intention to use of Islamic banking among users and non-users. Attitude turns out to be a non-significant factor for non-users of Islamic banking. Subjective norm is also found to be non-significant with intention to use Islamic banking in both groups. Originality/value This study has theoretical as well as practical significance in the subject of consumer behavior in Islamic banking. Theoretically, it attempts to fill the gap caused by the scarcity of research in exploring the consumer behavior towards Islamic banking in Pakistan. This study provides insights into the consumer behavior of users and non-users of Islamic banking and thus presents a comparison. Practically, this study provides guidelines for Islamic banks in introduction, propagation and promotion of Islamic banking products and services to establish Islamic banking as a social norm.

Investigating quality of life by residents of social housing in eastern Algeria: a structural equation modelling

2020 ◽  
Vol 18 (6) ◽  
pp. 1907-1926
Author(s):  
Riadh Djafri ◽  
Mariana Mohamed Osman ◽  
Noor Suzilawati Rabe ◽  
Syafiee Shuid
Keyword(s):  
Quality Of Life ◽  
Factor Analysis ◽  
Conceptual Framework ◽  
Social Housing ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Housing Quality ◽  
Equation Modeling ◽  
Content Type

Purpose The purpose of this paper is to identify, confirm and validate a model appropriate to capture the interrelationships between different variables to develop and improve social housing quality, adequacy, provision and residents’ quality of life (RQOL). Design/methodology/approach This research adopted a quantitative approach to examine the research objectives of this study. The proposed conceptual framework was tested using primary data collected from a survey of 418 residents of the new urban center of Hamla. The data were analyzed using descriptive analysis and exploratory factor analysis through SPSS. In addition, confirmatory factor analysis was performed using AMOS before validating the measurement model and testing the hypotheses through structural equation modeling (SEM). Findings The results of SEM indicated acceptable high goodness-of-fit indices. The results revealed that three out of six hypotheses were supported. Consequently, residential quality and housing adequacy appeared to have a vital role in the conceptual framework, as it influenced social housing provision and RQOL and was influenced by socio-economic characteristics. Practical implications The present study illustrates the interrelationships between the proposed variables using SEM analysis. In addition, by understanding the direct relationships between the selected variables, the findings would be useful for the concerned authorities to ameliorate and upgrade the social housing quality and adequacy along with surpassing the current shortage, which would enhance and contribute to the amelioration of the RQOL and throughout Algeria. Originality/value This paper aims to establish, examine, validate the relationships and develop a conceptual framework in the context of Algerian social housing that contributes to the assessment and amelioration of social housing.

The Impact of BIB Spiraling-Induced Missing Data Patterns on Goodness-of-Fit Tests in Factor Analysis

1995 ◽  
Vol 20 (1) ◽  
pp. 69-82 ◽  
Author(s):  
David Kaplan
Keyword(s):  
Factor Analysis ◽  
Missing Data ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Covariance Matrices ◽  
Equation Modeling ◽  
Continuous Variables ◽  
Goodness Of Fit Test ◽  
New Approach ◽  
The Impact

This article considers the impact of missing data arising from balanced incomplete block (BIB) spiraled designs on the chi-square goodness-of-fit test in factor analysis. Specifically, data arising from BIB designs possess a unique pattern of missing data that can be characterized as missing completely at random (MCAR). Standard approaches to factor analyzing such data rest on forming pairwise available case (PAC) covariance matrices. Developments in statistical theory for missing data show that PAC covariance matrices may not satisfy Wishart distribution assumptions underlying factor analysis, thus impacting tests of model fit. One approach, advocated by Muthén, Kaplan, and Hollis (1987) for handling missing data in structural equation modeling, is proposed as a possible solution to these problems. This study compares the new approach to the standard PAC approach in a Monte Carlo framework. Results show that tests of goodness-of-fit are very sensitive to PAC approaches even when data are MCAR, as is the case for BIB designs. The new approach is shown to outperform the PAC approach for continuous variables and is comparatively better for dichotomous variables.

scholarly journals Mengakomodasi Efek Metode dalam Pengujian Validitas Konstruk Melalui Analisis Faktor Konfirmatori

2017 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Wahyu Widhiarso
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Fit Indices ◽  
Method Effect ◽  
Confirmatory Factor ◽  
Method Effects ◽  
Item Writing

Literatures in the field of psychometrics recommend researchers to employvarious of methods on measuring individual attributes. Ideally,each methods are complementary and measuresthe construct designed to be measured. However, some problems arise when among the methods is unique and unrelated to the construct being measured. The uniqueness of method can lead what is called the method effect. In testing construct validity using confirmatory factor analysis, the emergence of this effect tend to reducing the goodness of fit indices of the model. There are many ways to solve these problem, one of themis controling the method effects and accommodate it to the model. This paper introduces how to accommodate method effecton the confirmatory factor analysis using structural equation modeling. In the application section, author identify the emergence of method effects due to the differences item writing direction (favorable-unfavorable). The analysis showed that method effectemerge from different writing direction.

scholarly journals Effect of emotional intelligence on auditors’ judgment and audit sustainability: Empirical evidence from Vietnam

2021 ◽  
Vol 19 (2) ◽  
pp. 333-345
Author(s):  
Hai-Thanh Phan ◽  
Phu-Huu Nguyen ◽  
Cuong-Thanh Nguyen ◽  
Tien-Thuy Thi Vo ◽  
Tung-Thanh Nguyen
Keyword(s):  
Factor Analysis ◽  
Emotional Intelligence ◽  
Structural Equation ◽  
Scientific Evidence ◽  
Interpersonal Relationship ◽  
Positive Influence ◽  
Equation Modeling ◽  
Professional Career ◽  
Audit Firms ◽  
Management Ability

This paper aims to measure the influence of emotional intelligence on auditors’ judgment and the sustainability of audit activities in the Vietnamese market through auditors’ perceptions. Data were collected through interviews using questionnaires from 232 auditors who currently work for independent audit firms in many provinces and cities. The research methods used include Cronbach’s Alpha test, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The study showed that 5 of 5 factors of emotional intelligence positively affect the auditors’ judgment. These are intrapersonal awareness competency, interpersonal relationship capability, stress management ability, environment adaptability potentiality, and mood creativity focus. Meanwhile, only 4 of 5 factors of emotional intelligence positively influence the audit sustainability of audit projects (excluding interpersonal relationship capability). The study also shows that the auditor’s judgment has a positive influence on audit sustainability. Besides, there is a great difference related to the emotional intelligence and its impact on auditor’s judgment and audit sustainability based on gender. The study’s results provide scientific evidence that human factors, especially emotional intelligence, influence the auditor’s judgment and the sustainability of his/her professional career. Acknowledgment The authors would like to thank the Editor-in Chief and a reviewer for their helpful comments that in our view have helped to improve the quality of the manuscript significantly.

scholarly journals GREEN MARKETING AS A MEDIATOR BETWEEN SUPPLY CHAIN MANAGEMENT AND ORGANIZATIONAL PERFORMANCE

2016 ◽  
Vol 17 (3) ◽  
pp. 183-211 ◽  
Author(s):  
Ednei Rogério de Souza Zampese ◽  
Roberto Giro Moori ◽  
Adilson Caldeira
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Corporate Performance ◽  
Corporate Image ◽  
Green Marketing ◽  
Equation Modeling ◽  
Chain Management ◽  
Construction Companies ◽  
Measurement Models ◽  
The Relationship

ABSTRACT Purpose: The study aims to explore and describe the mediation of green marketing in the relationship between supply chain management and corporate performance. Originality/gap/relevance/implications: The prior intention was to fill an epistemological gap about green marketing. The presence of green marketing in regression decreases the magnitude of the relationship between supply chain management and performance in Brazilian construction companies. Key methodological aspects: The study was carried out using quantitative method with exploratory and descriptive purposes. An exploratory research was conducted through in-depth interviews with ten managers working in the construction business. A descriptive survey involved the application of a questionnaire answered by a sample of 133 respondents. Data was analyzed using descriptive statistics, linear regression and structural equation modeling. Summary of key results: Data showed that green marketing mediates, in part, the relationship between supply chain management and corporate performance. Key considerations/conclusions: As theoretical implications, the study reinforces positive correlations between the constructs used in the surveyed sector. It resorted to models previously developed that, combined, could be reproduced or falsified, in order to obtain, finally, convergent measurement models. As a practical application, it identified the involvement of employees in environmental issues, missions and visions with explicit statements on energy and water saving and green marketing initiatives to improve the corporate image, such as obtaining environmental certifications. In conclusion, it appears that the civil construction companies have room to improve the communication and image to stimulate both the supply and consumption of green products.

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