scholarly journals The influence of organizational commitment on the perceived effectiveness of virtual meetings by filipino professionals during the COVID-19 Pandemic: A structural equation modeling approach

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Yogi Tri Prasetyo ◽  
Lorenzo Dones Montenegro ◽  
Reny Nadlifatin ◽  
Yoshiki B. Kurata ◽  
Ardvin Kester S. Ong ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Organizational Commitment ◽  
Latent Variables ◽  
Structural Equation ◽  
The Philippines ◽  
Equation Modeling ◽  
Perceived Effectiveness ◽  
Online Questionnaire ◽  
Virtual Meeting ◽  
Virtual Meetings

BACKGROUND: Virtual meetings have been widely utilized during the COVID-19 pandemic. OBJECTIVE: The purpose of this study was to explore the influence of organizational commitment on the perceived effectiveness of virtual meeting by Filipino professionals during the COVID-19 pandemic. METHODS: A total of 513 Filipino professionals answered an online questionnaire which covered four latent variables: organizational commitment to virtual meetings, attitude toward virtual meetings, perceived effectiveness of virtual meeting as collaboration tool, and perceived effectiveness of virtual meeting as a social tool. Structural Equation Modeling (SEM) was utilized to analyze the causal relationships between the latent variables construct. RESULTS: SEM showed that organizational commitment to virtual meeting during the COVID-19 pandemic influenced the positive attitude of the employees which subsequently led to the perceived effectiveness of virtual meeting as a collaboration and social tool. CONCLUSIONS: This study is the first study that analyzed the influence of organizational commitment on the perceived effectiveness of virtual meeting during the COVID-19 pandemic in the Philippines. Our SEM construct can be applied and extended further, particularly in analyzing factors influencing the perceived effectiveness of virtual meeting during the COVID-19 pandemic.

scholarly journals Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1205
Author(s):  
Yogi Tri Prasetyo ◽  
Allysa Mae Castillo ◽  
Louie John Salonga ◽  
John Allen Sia ◽  
Thanatorn Chuenyindee ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Indirect Effect ◽  
Fast Food ◽  
Structural Equation ◽  
The Philippines ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Online Questionnaire ◽  
Fast Food Industry ◽  
Factors Influencing

The drive-through fast-food industry has been one of the fastest businesses growing over the past decades in developing countries, including the Philippines. The purpose of this study was to evaluate factors influencing costumers’ repurchase intention in a drive-through fast food in the Philippines by utilizing the structural equation modeling (SEM) approach. A total of 305 Filipinos answered the online questionnaire, which contained 38 questions. The results of SEM indicated that subjective appetite (SA) was found to have a significant direct effect on menu options (MO). Consequently, MO was found to have significant direct effects on imagery elaboration (IE), vividness (VV), and convenience (CO), and an indirect effect on order accuracy (OA). Finally, SA, MO, IE, VV, OA, and CO were found to have significant effects on satisfaction (S), which subsequently led to loyalty (L) and repurchase intention (RI). Interestingly, MO was found to have the highest indirect effect on RI, indicating that MO is an important consideration for RI. This is the first comprehensive study evaluating drive-through fast food in the Philippines. The causal relationships of the present study can be applied and extended to evaluate the repurchase intention of drive-through fast food in other countries.

Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model

2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta
Keyword(s):  
Structural Equation Modeling ◽  
Social Relations ◽  
Latent Variables ◽  
Structural Equation ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Complete Understanding ◽  
Social Relations Model ◽  
Flexible Framework ◽  
Multilevel Structural Equation

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.

Perceived effectiveness of in-service training in improving Teacher's Performance: Evidence from Private Schools in Karachi-Pakistan

2020 ◽  
Author(s):  
Seema Chandani ◽  
Dr. afaq kazi ahmed
Keyword(s):  
Structural Equation Modeling ◽  
Sample Size ◽  
Private Schools ◽  
Structural Equation ◽  
School Management ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Perceived Effectiveness ◽  
Purposive Sampling ◽  
Service Training

<p><b>Research Paradigm:</b> The approach for this study is based on positivism theory with an intention to obtain evidence through focused observations and identify its likeliness with the actual data collected so that it can be generalized with the findings of other scholars who have worked on the topic (Remenyi et al., 1998). As elaborated by (Gill & Johnson, 2002), the crux of positivism philosophy revolves around the relationship of cause and its effect generated by different constructs, and the best possible exploration of these variables.</p><p><b>Research Design:</b> Primary data would be collected through a structured close-ended questionnaire which use to gather the responses from the stakeholders including teachers, coordinators, and school management and human resource personnel in the private schools. Therefore, the research questionnaire adapted from Dogan (2009) and Asiyai (2016) as a research instrument.</p> <p><b>Sample Size and Sampling technique:</b> The target population for this research study consists of different stakeholders for instance: teachers, coordinators, and school management and HR personnel working in private schools of Karachi -Pakistan. Non-probability purposive sampling is being used for this study. The sample size of 400 different stakeholders from private schools would be adequate to figure out the results (Loehlin, 2004). Since the actual size of the population is not exactly known and neither accessible to conduct random sampling, therefore non probability purposive sampling is chosen. Since the sample consists of different stakeholders for instance: teachers, coordinators, and school management and HR personnel working in private schools of Karachi -Pakistan. Therefore, it is a purposive sampling.</p><p><b>Data Collection Tool:</b> In this study we used the quantitative research to measure the perceived effectiveness of in-service training in improving teacher’s performance with one independent variables: in-service training (Training need assessment and training methodology), one dependent variables teachers performance (Task performance and contextual performance), 03 mediators (professional skills, knowledge enhancement and work engagement) and one moderator (reward). Questionnaire has distributed in the several schools by hand or through email.</p><p><b>Statistical Technique:</b> Since the model consists of multiple variables with mediation and moderation model, therefore the Structural Equation Modeling (SEM) is used. The interface terms integrated with the model is measured for statistical significance via bootstrapping method. The structural equation modeling has executed by the partial least square approach.</p><p></p>

Building a Model of Family Caregiving for Children with Emotional Disorders

1997 ◽  
Vol 5 (3) ◽  
pp. 138-148 ◽  
Author(s):  
Thomas P. Mcdonald ◽  
Thomas K. Gregoire ◽  
John Poertner ◽  
Theresa J. Early
Keyword(s):  
Structural Equation Modeling ◽  
Emotional Disorders ◽  
Problem Behaviors ◽  
Family Caregiving ◽  
Latent Variables ◽  
Structural Equation ◽  
Empirical Literature ◽  
Equation Modeling ◽  
Special Challenge ◽  
And Coping

In this article we describe the results of an ongoing effort to better understand the caregiving process in families of children with severe emotional problems. We make two assumptions. First, we assume that these families are essentially like other families but are faced with a special challenge in raising and caring for their special children while at the same time performing the multiple tasks and demands faced by all families. Second, we assume that public policy and programs must be supportive of the care of these children in their own homes and communities whenever possible. The purpose of this article is to present a model of family caregiving that draws broadly from available theory and empirical literature in multiple fields and to subject this model to empirical testing. We use structural equation modeling with latent variables to estimate an empirical model based on the theoretical model. Results of the model testing point to the importance of the child's external problem behaviors and the family's socioeconomic status and coping strategies as determinants of caregiver stress. Other findings highlight difficulties in measuring and modeling the complex mediating process, which includes formal and informal supports, perceptions, and coping behaviors. The use of structural equation modeling can benefit our efforts to support families by making explicit our theories about the important dimensions of this process and the relationship between these dimensions, which can then be subjected to measurement and validation.

scholarly journals MODEL PENlNGKATAN KlNERJA MELALUl BUDAYA ORGANlSASl, TEKNOLOGl lNFORMASl DAN KOMlTMEN ORGANlSASl PADA DOSEN lNTERNATlONAL WOMEN UNIVERSITY

2021 ◽  
Vol 15 (1) ◽  
pp. 57-66
Author(s):  
Dadang Munandar
Keyword(s):  
Information Technology ◽  
Organizational Culture ◽  
Structural Equation Modeling ◽  
Organizational Commitment ◽  
Random Sampling ◽  
Structural Equation ◽  
Equation Modeling ◽  
University Lecturers ◽  
International Women

Abstrak - Pendidikan digunakan sebagai tolok ukur untuk menilai kualitas sumber daya manusia sekaligus penentu kualitas bangsa. Kualitas generasi  unggul dan mampu bersaing akan lahir dari proses Pendidikan. Budaya organisasi dan teknologi informasi yang dibarengi dengan komitmen organisasi dosen merupakan model pemetaan perguruan tinggi untuk menghasilkan kinerja optimal. Menyadari akan pentingnya model tersebut, maka permasalahan belum tercapainya kinerja dosen, merupakan permasalahan yang harus diselesaikan melalui model pemetaan peningkatan kinerja. Metode yang digunakan adaIah metode deskriptif dengan pendekatan kuantitatif. PopuIasi penelitian ini adalah seluruh Dosen International women University, melalui teknik sampIing proporsional random sampling dan rumus slovin, maka diperoleh sampel sebesar 88 dosen. Pengumpulan data dilakukan melalui kuesioner dan wawancara, selanjutnya analisis menggunakan structural equation modeling (SEM).  Hasil penelitian menunjukkan bahwa Kinerja Dosen International Women University dipengaruhi secara simultan maupun parsial oleh Budaya Organisasi, TeknoIogi Informasi, dan Komitmen organisasional. Dari ketiga variable, komitmen organisasional memberikan kontribusi tertinggi, sedangkan kontribusi terendah ditentukan oleh teknologi informasi. Abstract - Education is used as a measurement to assess the quality of human resources as well as a determinant the quality of the nation. The quality of a excellent generation and able to compete will be exist from the education process. Organizational culture and information technology followed by lecturers' organizational commitment is a model for higher education mapping to produce optimal performance. Realizing the importance of this model, the problem of not achieving lecturer performance is a problem that must be solved through a performance improvement mapping model. The method used is a descriptive method with a quantitative approach. The population of this research is all Lecturers of International Women's University, using the technique of proportional random sampling and Slovin formula, a sample of 88 lecturers was obtained. Data was collected through questionnaires and interviews, then analysis using structural equation modeling (SEM). The results show that the performance of International Women University Lecturers is influenced simultaneously or partially by Organizational Culture, Information Technology, and Organizational Commitment. From the three variables, organizational commitment shows the highest contribution, while the lowest contribution is determined by information technology.

scholarly journals Structural Equation Modeling for the Effect of Main Factors on Abortion Issue

2019 ◽  
Vol 7 (1) ◽  
pp. 1-13
Author(s):  
Aras Jalal Mhamad ◽  
Renas Abubaker Ahmed
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Close Contact ◽  
Maternity Hospital ◽  
Equation Modeling ◽  
Research Model ◽  
Statistical Tools ◽  
Main Factors

       Based on medical exchange and medical information processing theories with statistical tools, our study proposes and tests a research model that investigates main factors behind abortion issue. Data were collected from the survey of Maternity hospital in Sulaimani, Kurdistan-Iraq. Structural Equation Modelling (SEM) is a powerful technique as it estimates the causal relationship between more than one dependent variable and many independent variables, which is ability to incorporate quantitative and qualitative data, and it shows how all latent variables are related to each other. The dependent latent variable in SEM which have one-way arrows pointing to them is called endogenous variable while others are exogenous variables. The structural equation modeling results reveal is underlying mechanism through which statistical tools, as relationship between factors; previous disease information, food and drug information, patient address, mother’s information, abortion information, which are caused abortion problem. Simply stated, the empirical data support the study hypothesis and the research model we have proposed is viable. The data of the study were obtained from a survey of Maternity hospital in Sulaimani, Kurdistan-Iraq, which is in close contact with patients for long periods, and it is number one area for pregnant women to obtain information about the abortion issue. The results shows arrangement about factors effectiveness as mentioned at section five of the study. This gives the conclusion that abortion problem must be more concern than the other pregnancy problem.

scholarly journals MODEL PERSAMAAN STRUKTURAL UNTUK MENGETAHUI PERSEPSI KONSUMEN TERHADAP BUAH IMPOR

2020 ◽  
Vol 9 (3) ◽  
pp. 149
Author(s):  
I KADEK TEGUH PRADANA ◽  
NI KETUT TARI TASTRAWATI ◽  
I PUTU EKA NILA KENCANA
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Sem Analysis ◽  
Consumer Perception ◽  
Equation Modeling ◽  
Consumer Knowledge

This research is aimed to determine the factors that significantly influence consumer perception in buying imported fruits using structural equation modeling (SEM) analysis. The study use 164 data obtained from questionnaire, which respondents were aged 18 years old or above, from Gianyar Regency, had bought and had felt imported fruits. The study use 4 latent variables (perception, product, personal, culture) with 19 measured variables. The results showed that consumer knowledge about imported fruits (product) and culture about the use of imported fruits in traditional ceremonies (culture) were significantly influence consumer perception about consumption of imported fruit (perception).

scholarly journals COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

2021 ◽  
pp. 395-405
Author(s):  
David Opeoluwa Oyewola ◽  
Emmanuel Gbenga Dada ◽  
Juliana Ngozi Ndunagu ◽  
Terrang Abubakar Umar ◽  
Akinwunmi S.A
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Support Vector ◽  
Economic Factors ◽  
Negative Effects ◽  
The Impact

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on the economy of nations is far greater than anything suffered in almost a century. The main objective of this paper is to apply Structural Equation Modeling (SEM) and Machine Learning (ML) to determine the relationships among COVID-19 risk factors, epidemiology factors and economic factors. Structural equation modeling is a statistical technique for calculating and evaluating the relationships of manifest and latent variables. It explores the causal relationship between variables and at the same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector Machine (SVM), Decision Tree (DT) and Random Forest (RF) Machine Learning techniques was applied to predict the impact of COVID-19 risk factors. Data from patients who came into contact with coronavirus disease were collected from Kaggle database between 23 January 2020 and 24 June 2020. Results indicate that COVID-19 risk factors have negative effects on epidemiology factors. It also has negative effects on economic factors.

Using WarpPLS in E-collaboration Studies

2010 ◽  
Vol 6 (4) ◽  
pp. 1-11 ◽  
Author(s):  
Ned Kock
Keyword(s):  
Structural Equation Modeling ◽  
Research Methods ◽  
Latent Variables ◽  
Structural Equation ◽  
Software Tools ◽  
Equation Modeling ◽  
Modeling Analysis ◽  
Modeling Software ◽  
S Curve ◽  
Complex Phenomena

Most relationships between variables describing natural and behavioral phenomena are nonlinear, with U-curve and S-curve relationships being particularly common. Yet, structural equation modeling software tools do not estimate coefficients of association taking nonlinear relationships between latent variables into consideration. This can lead to misleading results, particularly in multivariate and complex phenomena like those related to e-collaboration. One notable exception is WarpPLS (available from: warppls.com), a new structural equation modeling software currently available in its first release. The discussion presented in this paper contributes to the literature on e-collaboration research methods by providing a description of the main features of WarpPLS in the context of an e-collaboration study. The focus of this discussion is on the software’s features and their use and not on e-collaboration study itself. Particular emphasis is placed on the five steps through which a structural equation modeling analysis is conducted through WarpPLS.

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