Editorial

2016 ◽  
Vol 15 (3) ◽  
pp. v-vi
Author(s):  
Shivi Khanna
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Gap Analysis ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Factors Affecting ◽  
Analysis Technique ◽  
Management Institutions ◽  
Major Factors ◽  
Retention Of Teachers

This issue of Ushus—Journal of Business Management brings to you four academically stimulating articles: Sudipta Kumar Jana studies the measure of e-COD payment convenience scale, its validity and reliability and how it affectscustomer loyalty. Research methods like confirmatory factor analysis and structural equation modeling have been applied with the help of SPSS and AMOS.Milind Gawai attempts to chronicle the significant milestones in the development of the concept of ‘Emotional Intelligence,’ tracing its origin from the pioneers to the present time.Dr K Venkata Janardhan Rao and Srivalli Jandhyala article is a study focused on how different food retail stores in Hyderabad metro city manage shopper perception. To analyse the perception level, GAP analysis technique is used.Roy Mathew and Dr S John Manohar study the major factors which influence the teachers to remain in any management institution. The data was collected from 261 teachers from unaided educational institutions in Bengaluru by using a structured questionnaire. Statistical tools used are factor analysis, simple averages, ANOVA and regression. The major factors affecting retention of teachers in management institutions in Bengaluru are Work Environment, Effective Leadership and Empowerment. It was also found that these factors make significant impact on the satisfaction of teachers.We wish you fruitful reading and look forward to a creative and critical feedback from our readers

scholarly journals Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony
Keyword(s):  
Medical Education ◽  
Blended Learning ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Behavioral Intention To Use

Abstract Background Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that might affect students’ intention to use blended learning. Methods In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Venkatesh et al. (2012) proposed UTAUT2 as a framework to explain a person’s behavior while using technology. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypotheses. Results The validity and reliability of the model constructs were acceptable. Performance Expectance (PE), Effort Expectance (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) had a significant effect on the students’ behavioral intention to use blended learning. Additionally, behavioral intention to use blended learning had a significant effect on the students’ actual use of blended learning (β = 0.645, P ≤ 0.01). Conclusion The study revealed that the proposed framework based on the UTAUT2 had good potential to identify the factors influencing the students’ behavioral intention to use blended learning. Universities can use the results of this study to design and implement successful blended learning courses in medical education.

scholarly journals PLS-SEM Analysis to Know Factors Affecting The Interest of Buying Halal Food in Muslim Students

Jurnal Varian ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 141-152
Author(s):  
Cindy Cahyaning Astuti
Keyword(s):  
Structural Equation ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Muslim Students ◽  
Factors Affecting ◽  
Culinary Tourism ◽  
Value Perception ◽  
Analysis Process ◽  
Analysis Technique ◽  
Halal Food

The increase of halal food products has led to increase in culinary tourism in recent years. One of the districts that has experienced a rapid increase in culinary tourism is Sidoarjo Regency. The development of culinary tourism in the last few years in Sidoarjo Regency generally targets are the students. This study will aim to determine the factors that influence the interest in buying halal food and what factors have the greatest influence on the interest in buying halal food. The analysis technique uses the Partial Least Squares Structural Equation Modeling (PLS-SEM. Based on the results of the analysis, it is known that of the 5 predictor variables used in the analysis process, there are 4 variables that have a significant effect on Purchase Interest (Y). It can be concluded that increasing of Halal Awareness (X1), Halal Certification (X2), Health (X3) and Value Perception (X5) will further increase Purchase Interest (Y). Meanwhile, based on value of coefficient on each variable, it is known that Health  (X3) has the largest coefficient value (0.260), so it can be concluded that Health (X3) has the greatest influence on Purchase Interest (Y).

Consumers Attitude towards Ads on Social Media

2019 ◽  
Vol 3 (ii) ◽  
Author(s):  
Biraj Ghimire ◽  
Bharat Singh Thapa ◽  
Suman Dahal
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Structural Model ◽  
Principal Component ◽  
Equation Modeling ◽  
Purchase Decision ◽  
Intention To Use ◽  
Validity And Reliability

The purpose of the study was to investigate influence of advertisement traits on attitude towards Ads on social media and intention to use them for purchase decision. The study used Structural Equation Modeling (SEM) to examine the relationship. The validity and reliability of the constructs were evaluated using exploratory factor analysis (EFA). The EFA was conducted using Principal Component Analysis and Varimax Rotation Method. 7 factors explained 67% of variation. The result also showed sampling adequacy with Kaiser-Meyer-Olin (KMO) test and Bartlett’s Test of Sphericity indicated that sample of 255 was appropriate for factor analysis. The result provided a justifiable range of construct reliability and discriminant validity. Consequently, structural model was developed. Confirmatory Factor Analysis was conducted to test the goodness of the model. The result indicated that advertisement contents on social media with informative and entertaining were more likely to be used by the consumers. Similarly, favorable attitude towards Ads on social media had a positive intention to use the message for purchase decision. Key words: Marketing, Attitude, Ads on social media, Consumers, Factor analysis, Message

The relationship between workplace spirituality and hospitality supervisors’ work attitudes

2016 ◽  
Vol 28 (3) ◽  
pp. 471-489 ◽  
Author(s):  
Anthony Gatling ◽  
Jungsun (Sunny) Kim ◽  
John Milliman
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Theoretical Perspective ◽  
Negative Relationship ◽  
Workplace Spirituality ◽  
Work Attitudes ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Content Type

Purpose The purpose of this paper is to investigate the extent to which workplace spirituality (WPS) is related to hospitality supervisors’ organizational commitment (OC) and intention to quit (ITQ), examined through the lens of self-determination theory (SDT). Design/methodology/approach Based on survey data collected from 190 supervisors employed by a large US hospitality organization, the relationships were examined using confirmatory factor analysis, second-order factor analysis and structural equation modeling. Findings The results of this study suggest that three dimensions of WPS (i.e. meaning and purpose in their work, sense of community and alignment with organizational values) are positively related to OC and negatively related to ITQ. Moreover, these supervisors’ OC fully mediates the negative relationship of WPS to ITQ. Research limitations/implications This study tests the validity and reliability of three WPS dimensions in the hospitality environment. It also provides a theoretical perspective through SDT for explaining how WPS impacts employee work attitudes, which can be used to guide future studies. Practical implications Hospitality organizations can benefit from the insights of this research into how WPS can increase the commitment and retention of supervisors, who in turn positively impact front-line workers and customer service quality delivery. Originality/value This study provides additional implications for SDT and offers new insights into the emerging field of WPS scholarship. While other studies have tested relationships related to involving these WPS variables, a scarcity of research has been offered in hospitality or with a theory-based explanation of these relationships.

scholarly journals Exploratory Factors Influencing Building Development Costs in New Zealand Using SEM

2017 ◽  
Author(s):  
Linlin Zhao ◽  
Jasper Mbachu ◽  
Niluka Domingo
Keyword(s):  
New Zealand ◽  
Construction Industry ◽  
Structural Equation ◽  
Economic Factor ◽  
Equation Modeling ◽  
P Value ◽  
Property Market ◽  
Factors Affecting ◽  
Development Costs ◽  
Major Factors

Identification of costs drivers and their influence level on building development costs play a key role in the development of construction models and improve the efficiency and effectiveness of any project. Forty-five indicators influencing building development costs in New Zealand are explored by literature review and pilot interviews. These indicators are grouped into seven categories. The determination and ranking of the cost drivers are carried out by a questionnaire survey distributed to key professionals working in New Zealand’s construction industry. Structural equation modeling (SEM) software was employed for analysis of the collected data. One of the key advantages of this powerful software is to provide the p-value according to the structure of the research model. Findings of this study indicate that the property market and construction industry factor, statutory and regulatory factor, and socio-economic factor are major factors affecting building development costs in New Zealand.

scholarly journals Barriers to the Adoption of Social Media Technology in the domain of Social Customer Relationship Management in Travel Agencies

2018 ◽  
Vol 7 (4.7) ◽  
pp. 430
Author(s):  
Fereshteh Alizadeh ◽  
Fatemeh Ahmadi ◽  
Zeinab Basiri
Keyword(s):  
Social Networks ◽  
Factor Analysis ◽  
Structural Equation ◽  
Service Organizations ◽  
Customer Relationship ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Effective Factors ◽  
Study Results ◽  
Travel Agencies

In today’s world, social networks play a very important role in relationships among people throughout the world. The popularity of social networks has increased among Iranian users as they became a place to explore different individual desires and interests. Thus, these networks are now an integral part of the lives of many people in our society. Integrating these two categories may be considered as a key business strategy which has caught the attention of many service organizations in developed countries.Therefore, to identify the barriers to the adoption of social networks in travel agencies for improving the adoption of networks in order to ameliorate CRM policies in organizations after deriving the effective factors mentioned in previous studies and utilizing Exploratory Factor Analysis (EFA) to explore the most common barriers in this field, three hypotheses were formulated and the population of service organizations and some of their customers in Tabriz with a 245-member sample were selected for the study and a Likert scale questionnaire was designed and distributed among the members of the study sample. The study results had a high validity and reliability and the LISREL, a structural equation modeling application, was used to carry out the Confirmatory Factor Analysis (CFA) and to discover a model from the effective factors. Results showed that legal and technological factors as barriers to the adoption of social networks for CRM had the largest impact in Iran.

scholarly journals Investigating the Role of Governmental Factors Affecting Social Capital (Case Study: Iraqi Kurdistan)

2021 ◽  
Vol 1 (2) ◽  
pp. 75-91
Author(s):  
Chiman Khayati
Keyword(s):  
Social Capital ◽  
Data Collection ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Statistical Population ◽  
Factors Affecting ◽  
Iraqi Kurdistan

Social capital is a latent wealth and property arising from a society's members' mental and psychological readiness to give up personal interests and engage in collective action. Social capital is a form of capital that potentially exists in all human societies. For flourishing and actualizing social capital, factors must be transformed, and special conditions must be satisfied that are seldom and difficult to meet. This study aimed to investigate the factors affecting the strengthening of social capital through the role of government. The study was applied research, and in terms of data collection method, it was a descriptive correlational study. The statistical population of the study was the citizens of Iraqi Kurdistan in 2020. One thousand subjects were selected using the convenience sampling method. The data collection tool was a researcher-made questionnaire. Content validity and measurement model results were used to evaluate the validity and reliability of measurement tools. The questionnaires’ validity and reliability results were confirmed. Structural equation modeling through Smart PLS 3 was used for data analysis. The hypothesis testing results showed that the economy, geography and environment, and culture and society would strengthen social capital through government. According to the value obtained for the model fit index, 0.54, the overall model’s goodness of fit was confirmed.

scholarly journals A Hybrid, Data-Driven Causality Exploration Method for Exploring the Key Factors Affecting Mobile Payment Usage Intention

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1185
Author(s):  
Ching Ching Fang ◽  
James J. H. Liou ◽  
Sun-Weng Huang ◽  
Ying-Chuan Wang ◽  
Hui-Hua Huang ◽  
...  
Keyword(s):  
Decision Making ◽  
Structural Equation ◽  
Multiple Criteria Decision Making ◽  
Data Driven ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Research Approach ◽  
Validity And Reliability ◽  
Key Factors ◽  
Factors Affecting

Several methodologies for academically exploring causality have been addressed in recent years. The decision-making trial and evaluation laboratory (DEMATEL), one of the multiple criteria decision-making (MCDM) techniques, relies on expert judgements to construct an influential network relation map (INRM), revealing the mutual causes and effects of the criteria and dimensions for presentation of the results in a visual manner. The interactional impacts may be evaluated without considering the presumed hypotheses. The DEMATEL has been successfully utilized to assist in complex decision-making problems in various contexts. However, there is controversy about the reliance upon expert judgements, which could be subjective. Thus, this study seeks to overcome this dispute by developing a data-driven, concept-based novel hybrid model which the authors call SEM-DEMATEL. The model first constructs the direct effects between indicators based on structural equation modeling (SEM) and then utilizes DEMATEL to confirm the interdependence among the variables and identify their causes and effects. Finally, an empirical study exploring the key factors affecting mobile payment usage intention is further conducted to demonstrate the feasibility, validity, and reliability of the novel SEM-DEMATEL research approach. The results identify that the perceived value is the key influencing indicator of m-payment usage intention, and the objectivity and efficiency of the research results are compared.

Determinants of EVs adoption: a study on green behavior of consumers

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ajitabh Dash
Keyword(s):  
Factor Analysis ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Structural Equation ◽  
The Body ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
Factors Affecting ◽  
Adoption Decision

PurposeThis study has a principal objective of exploring and analyzing the factors affecting adoption or acceptance of eco-friendly electric vehicles in India.Design/methodology/approachPrimary data were gathered through a predesigned questionnaire from 355 vehicle owners of Delhi using simple random sampling method. Statistical softwares like SPSS and AMOS were used to analyze the primary data collected for the study. Statistical techniques like exploratory factor analysis, confirmatory factor analysis and structural equation modeling were usesd to infer a meaningful conclusion from the investigation.FindingsThrough this study, a statistically significant relationship between environmental concern, knowledge of EV, subjective norm and attitude toward electric vehicle were investigated. Similarly attitude is responsible for a significant variation in adoption decision.Practical implicationsThe findings of the present study underscore the requirement for marketers to build up a systematic strategy for easier adoption of electric vehicles in India. On account of this, this study developed a model of potential determinants of adoption decision toward EVs in India, based on statistically significant evidences.Originality/valueThis study adds to the body of literature by exploring and testing the factors affecting the adoption of eco-friendly products like electric vehicle that were not emphasized earlier in Indian context and second by growing theoretically consistent operationalization for the marketing of electric vehicles. These upgrades brought about a last model with an unrivaled illustrative power.

Emotional finance: determinants of phantasy

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Selim Aren ◽  
Hatice Nayman Hamamcı
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Online Survey ◽  
Additional Data ◽  
Typical Feature ◽  
Important Variable ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Content Type ◽  
Additional Data Collection

Purpose In this study, scales are developed for phantasy and its determinants, which is accepted as an important variable in investment preference with an emotional finance perspective. The scales developed in this framework are narrative, divided mind, group feel, informed herding, uninformed herding and phantasy. In addition, the power of these determinants to explain phantasy was investigated. Design/methodology/approach For this purpose, the data was obtained between May 01, 2019 and November 30, 2019 via an online survey with convenience sampling. First, a pilot study consisting of 200 subjects was performed. Then, additional data was collected. The total number of subjects was 648. The authors used IBM SPSS Statistics and AMOS for analysis. Exploratory factor analysis and discriminant analysis were performed. In addition, confirmatory factor analysis was performed after an additional data collection process with structural equation modeling. Findings As a result of analyses, the validity and reliability of these scales were ensured statistically. It was also found that divided mind directly affects phantasy, but group feel and narrative indirectly affect by informed herding. The “unknown and new investment” preference, which is accepted as a typical feature of the bubble periods, is modeled with the relevant variables. In this framework, it has been found that the variables that refer individuals to the relevant investment preferences are phantasy, group feel, uninformed herding and divided mind. Originality/value The study is unique because of its findings and developed scales. The findings are valuable in that the theoretically alleged relations were also obtained empirically.

Sign in / Sign up

Export Citation Format

Share Document