scholarly journals Antecedent and consequences of organizational identification: a study in the tourism sector of Sikkim

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Deepak Subba
Keyword(s):  
Factor Analysis ◽  
Organizational Behavior ◽  
Social Identity Theory ◽  
Organizational Support ◽  
Organizational Identification ◽  
Structural Equation ◽  
Tourism Industry ◽  
Equation Modeling ◽  
Tourism Sector ◽  
Confirmatory Factor

AbstractOrganizational identification has been identified as an important construct in behavioral research. It has been viewed from different perspectives such as marketing, organizational behavior, human resource management, and psychology. This study is conducted in organizational behavior context among the employees of tourism industry in Sikkim and gave some important contribution which can be useful to researchers and practitioners. With the application of social identity theory, the study investigated the antecedent and consequences of organizational identification. To test the research model, self-reports of 246 respondents are used and for analyzing data explorative factor analysis, confirmatory factor analysis and structural equation modeling were applied. Findings of the study suggested that perceived organizational support emerged as an antecedent of organizational identification, whereas job satisfaction and knowledge sharing behavior emerged as consequences of organizational identification.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

scholarly journals Examining the ParticipACTION brand using the brand equity pyramid

2018 ◽  
Vol 8 (4) ◽  
pp. 378-396 ◽  
Author(s):  
Alexander Lithopoulos ◽  
Peter A. Dacin ◽  
Tanya R. Berry ◽  
Guy Faulkner ◽  
Norm O’Reilly ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Brand Equity ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Equation Modeling ◽  
Content Type ◽  
Activity Promotion ◽  
Confirmatory Factor

Purpose The brand equity pyramid is a theory that explains how people develop loyalty and an attachment to a brand. The purpose of this study is to test whether the predictions made by the theory hold when applied to the brand of ParticipACTION, a Canadian non-profit organization that promotes active living. A secondary objective was to test whether this theory predicted intentions to be more physically active. Design/methodology/approach A research agency conducted a cross-sectional, online brand health survey on behalf of ParticipACTION. Exploratory factor analysis and confirmatory factor analysis established the factor structure. Structural equation modeling was used to test the hypothesized model. Findings A nationally representative sample of Canadian adults (N = 1,191) completed the survey. Exploratory factor analysis and confirmatory factor analysis supported a hypothesized five-factor brand equity framework (i.e. brand identity, brand meaning, brand responses, brand resonance and intentions). A series of structural equation models also provided support for the hypothesized relationships between the variables. Practical implications Though preliminary, the results provide a guide for understanding the branding process in the activity-promotion context. The constructs identified as being influential in this process can be targeted by activity-promotion organizations to improve brand strength. A strong organizational brand could augment activity-promotion interventions. A strong brand may also help the organization better compete against other brands promoting messages that are antithetical to their own. Originality/value This is the first study to test the brand equity pyramid using an activity-promotion brand. Results demonstrate that the brand equity pyramid may be useful in this context.

scholarly journals Modeling and Analysis of the Motivations of Fast Fashion Consumers in Relation to Innovativeness

2016 ◽  
Vol 16 (4) ◽  
pp. 205-213
Author(s):  
Canan Saricam ◽  
Nazan Erdumlu
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Fast Fashion ◽  
Modeling And Analysis ◽  
Confirmatory Factor ◽  
The Relationship

Abstract In this study, fast fashion concept is investigated in order to understand the motivations of the consumers that make them adopt these products because of their willingness for the innovativeness. The relationship between the motivational factors which were named as “Social or status image” and “Uniqueness” as expressions of individuality, “Conformity” and the willingness for “Innovativeness” is analyzed using a conceptual model. Exploratory factor analysis, confirmatory factor analysis and structural equation modeling were used to analyze and validate the model. The data used for the study was obtained from 244 people living in Turkey. The findings showed that the motivational factors “Social or status image” and “Uniqueness” as expressions of individuality are influential on the consumers’ willingness for “Innovativeness”.

scholarly journals Antecedents to Employee Attrition Behavior in Indian IT/ITES Sector

2019 ◽  
Vol 9 (1) ◽  
pp. 1132-1142
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Group Analysis ◽  
Equation Modeling ◽  
Path Coefficients ◽  
Confirmatory Factor ◽  
Career Growth ◽  
Employee Attrition ◽  
Hr Managers ◽  
The Impact

Attrition is the biggest challenges being faced by the HR managers in today’s competitive environment especially with IT/ITES sectors. The study identifies clarity, career growth and advancement, personal priorities and organizational environment as the vital antecedent factors which impacts employee attrition. Further through multi-group analysis the paper studies the impact of agile environment on the said relationships in low and high agile environment. The study uses exploratory factor analysis, confirmatory factor analysis and structural equation modeling for obatinig path linkages. In high agile group all the path linkages were highly significant and the path coefficients were stronger

Linking employee perceptions and employee attitudes through their levels of organizational identification: a field investigation in India

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumendu Biswas
Keyword(s):  
Social Exchange ◽  
Organizational Support ◽  
Organizational Identification ◽  
Latent Variable ◽  
Structural Equation ◽  
Employee Attitudes ◽  
Equation Modeling ◽  
Full Time ◽  
Variable Model ◽  
Content Type

PurposeDespite organizational socialization and support, contemporary managers often perceive employees to be less engaged and attached to their workplace, multiplying their workload with unsolicited vexations and worries. In this connection, the purpose of this paper is to explore and possibly confirm the ameliorative role of organizational identification as a mediator between employees' perceptions of organizational support and justice and their favorable association to their levels of engagement and attenuation of their intentions to quit.Design/methodology/approachSuitable theories such as the social exchange and fairness heuristics theories were examined to select and support the study constructs. Accordingly, the literature was reviewed to formulate the study hypotheses and connect them through a conceptual latent variable model (LVM). Data were collected from 402 full-time managerial executives all over India. The data thus collected were subjected to structural equation modeling (SEM) procedures.FindingsAll the measures used in this study had acceptable reliabilities as indicated by their Cronbach's Alpha values. Based on the SEM procedures all the study hypotheses and one of the competing LVMs labeled as LVM5 was finally accepted.Originality/valueThe distinctive feature of this study is the theoretical compilation of all the study constructs in one LVM and subsequent empirical verification of the same. This study is, perhaps, the first of its kind to examine the implications of such justice-based perceptions of social exchange relations between employees and their organizations in India more so, since it considers support and justice to complement each other as an interactive whole.

Beyond the Game: Dimensions of Esports Online Spectator Demand

2019 ◽  
Vol 8 (6) ◽  
pp. 825-851 ◽  
Author(s):  
Tyreal Yizhou Qian ◽  
James Jianhui Zhang ◽  
Jerred Junqi Wang ◽  
John Hulland
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Behavioral Outcomes ◽  
The Other ◽  
Equation Modeling ◽  
Chat Room ◽  
Semistructured Interviews ◽  
Confirmatory Factor ◽  
Stream Quality ◽  
The Impact

This study explored and evaluated the dimensions and consequences of esports online spectator demand. In doing so, we identified preliminary dimensions of esports online spectator demand based on semistructured interviews and online open-ended surveys. Findings resulted from the qualitative study were adopted as the foundation to develop the Scale for Esports Spectator Demand (SESD). To validate the SESD and assess the impact of the SESD factors on consumers’ cognitive and behavioral outcomes, a sample of esports online spectators ( N = 1,309) responded to a survey containing the SESD, which was randomly split into two halves, with one half for an exploratory factor analysis and the other half for a confirmatory factor analysis and structural equation modeling analyses. A total of 32 items under eight SESD factors were confirmed. While demand factors including commentary features, player characteristics, event attractiveness, and schedule convenience have been found in traditional sport contexts, chat room, streamer traits, stream quality, and virtual rewards appeared to be unique in esports. All eight SESD factors, excluding schedule convenience, were significantly predictive of one or more of the outcomes associated with esports consumption.

scholarly journals The Effect of Good Governance Mixture in Governmental Organizations on Promotion of Employees’ Job Satisfaction (Case Study: Employees and Faculty Members of Lorestan University)

2016 ◽  
Vol 12 (5) ◽  
pp. 108
Author(s):  
Mahdi Shahin
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Structural Equation ◽  
Good Governance ◽  
Faculty Members ◽  
Equation Modeling ◽  
Alpha Coefficient ◽  
Governmental Organizations ◽  
Confirmatory Factor

<p>The aim of this study was to evaluate the effect of indicators of good governance in public organizations to improve the level of employees’ job satisfaction. The methods were confirmatory factor analysis and structural equation modeling using LISREL software and SPSS18 packages. The population consisted of all faculty members and staff of Lorestan University (N=500), which 217 of them were selected systematically using Kerjisi Morgan table. To collect the data 2 standardized questionnaires consisted of good governance and job satisfaction (residents and Ramadan, 2011) were used and the reliability of the questionnaire was (0.73) by calculating Cronbach’s alpha coefficient. The results of the study showed that the implementation of the indicators of good governance in the organization will lead to an increase in employees’ job satisfaction.</p>

Sign in / Sign up

Export Citation Format

Share Document