Focusing on the Practice of Distributed Leadership: The International Evidence From the 2013 TALIS

2020 ◽  
Vol 56 (5) ◽  
pp. 779-818 ◽  
Author(s):  
Yan Liu
Keyword(s):  
School Leadership ◽  
Distributed Leadership ◽  
Latent Variables ◽  
Structural Equation ◽  
Teaching And Learning ◽  
Large Scale ◽  
Contextual Factors ◽  
Secondary Data ◽  
Equation Model ◽  
Management Team

Purpose: This study is primarily interested in the operational evidence of distributed leadership using large-scale and multicountry data. Specifically, this study investigates (a) how three position-based human units—the principal, the management team, and teachers—could lead nine school leadership functions together and (b) how the country and school contextual factors are related to the leadership distribution mechanism, which examines the associations among variables across national boundaries including 32 countries. Research Design: This study conducted a secondary data analysis using the 2013 Teaching and Learning International Survey. The researcher first constructed the latent variables to quantify the extent to which the three groups led the nine leadership functions. Then a resampling approach with balanced repeated replication weights was used to disclose the extent to which each group led each of the 17 leadership tasks. Finally, a structural equation model helped reveal the existing associations among contextual factors and distributed leadership operation. Findings: First, distributed leadership was reported by principals to exist in 25 countries, and there were seven distributed leadership patterns discovered among 32 countries included in the sample, though two patterns were revealed to have little leadership distribution. Second, this study found that the principal, the management team, and teachers led varied leadership functions. Finally, both country and school contextual factors were associated with how leadership was distributed. Conclusions: This study, using large-scale and international data, has added new evidence with a particular interest in the effects of contextual influence on distributed leadership practices.

How school context and educator characteristics predict distributed leadership

2016 ◽  
Vol 46 (3) ◽  
pp. 401-423 ◽  
Author(s):  
Yan Liu ◽  
Mehmet Sukru Bellibas ◽  
Susan Printy
Keyword(s):  
Distributed Leadership ◽  
Employment Status ◽  
Structural Equation ◽  
Teaching And Learning ◽  
School Context ◽  
Equation Model ◽  
Reciprocal Effects ◽  
International Survey ◽  
Endogenous Variables ◽  
Funding Resource

Distributed leadership is a dynamic process and reciprocal interaction of the leader, the subordinates and the situation. This research was inspired by the theoretical framework of Spillane in order to contextualize distributed leadership and compare the variations using the Teaching and Learning International Survey 2013 data. The two-level structural equation model utilized the school contextual variables and staff characteristics as exogenous and endogenous variables simultaneously in order to investigate the reciprocal effects of these variables on each other, and the ultimate influences on the extent to which leadership is distributed. The results suggest mutual respect among staff, funding resource of the school, together with principal's gender and employment status, are critically important factors with regard to the extent of distributed leadership in a school.

scholarly journals The Role of Managerial Commitment and TPM Implementation Strategies in Productivity Benefits

2018 ◽  
Vol 8 (7) ◽  
pp. 1153 ◽  
Author(s):  
José Díaz-Reza ◽  
Jorge García-Alcaraz ◽  
Liliana Avelar-Sosa ◽  
José Mendoza-Fong ◽  
Juan Sáenz Diez-Muro ◽  
...  
Keyword(s):  
Least Squares ◽  
Structural Equation Model ◽  
Preventive Maintenance ◽  
Latent Variables ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Implementation Strategies ◽  
Equation Model ◽  
Total Productive Maintenance

The present research proposes a structural equation model to integrate four latent variables: managerial commitment, preventive maintenance, total productive maintenance, and productivity benefits. In addition, these variables are related through six research hypotheses that are validated using collected data from 368 surveys administered in the Mexican manufacturing industry. Consequently, the model is evaluated using partial least squares. The results show that managerial commitment is critical to achieve productivity benefits, while preventive maintenance is indispensable to total preventive maintenance. These results may encourage company managers to focus on managerial commitment and implement preventive maintenance programs to guarantee the success of total productive maintenance.

A New Perspective for Understanding School Managers’ Roles: The Impact of Principals’ Boundary Activities on the Effectiveness of School Management Teams

2018 ◽  
Vol 120 (3) ◽  
pp. 1-40
Author(s):  
Pascale Benoliel ◽  
Anit Somech
Keyword(s):  
Public Schools ◽  
School Leadership ◽  
Structural Equation ◽  
Equation Model ◽  
Management Teams ◽  
Role Performance ◽  
New Perspective ◽  
Mean Differences ◽  
The Impact

Background/Context Increasingly, educational leadership research has stressed that leadership is not solely embedded in formal roles but often emerges from relationships between individuals. Senior management teams (SMTs) are an important expression of a formal management structure based on the principle of distributed leadership. Such structures may require a reconceptualization of school leadership and the role of the principal in such a way as to better meet new challenges and enable principals to manage SMTs more effectively. Accordingly, it is proposed that to improve effectiveness, principals engage in boundary activities, the principals’ internal activities directed toward the SMT aimed at dealing with internal team matters and the principals’ external activities directed toward external agents in the team's focal environment to acquire resources and protect the team. Purpose/Objective The present study attempts to advance a theoretical model of principals’ internal and external activities toward their SMTs. This study's purpose is twofold: First, the study tries to determine which of the internal and external activities principals engage in more frequently and less frequently and to what extent. Second, the study attempts to determine how these activities are related to the SMT effectiveness outcomes: in-role performance and innovation. Taking on a distributive perspective to school leadership, our goal is to extend our knowledge about the activities that might facilitate SMT effectiveness, by highlighting the principal boundary activities as fundamental. Research Design Quantitative study. Data Collection and Analysis Data were collected from two sources to minimize problems associated with same source bias: 92 SMTs and their principals from 92 public schools in Israel. Principals evaluated the SMTs’ effectiveness through validated surveys of team in-role performance and team innovation, and SMT members evaluated the internal and external activities of the principal. Findings/Results ANOVA analyses indicate significant mean differences between the principal's internal and external activities. Results from Structural Equation Model indicate that internal activities were related to SMT performance, whereas external activities were related to SMT innovation. Conclusions/Recommendations Principals who manage both the internal SMT dynamic by promoting SMT identity and building team trust, while also promoting a common mission, serve the role of coordinator between SMT members and constituencies external to the SMT, enhancing SMT effectiveness. It may be, then, that studying new models of school leadership and management, including the relationship of the principal and the SMT, may deepen our understanding of the increasingly complex role of principals today.

Big Data Analytics in the Agribusiness Supply Chain Management

2021 ◽  
Vol 9 (3) ◽  
pp. 32-42
Author(s):  
Marisol Valencia-Cárdenas ◽  
Jorge Anibal Restrepo-Morales ◽  
Francisco Javier Día-Serna
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation Model ◽  
Inventory Management ◽  
Latent Variables ◽  
Structural Equation ◽  
Big Data Analytics ◽  
Equation Model ◽  
Chain Management

Importance and impact of the systems related to Agribusiness and Agri-food, are increasing around the world and demand a paramount attention. Collaboration in the inventory management is an integral part of the supply chain management, related to proactive integration among the chain actors facilitating production and supply, in especial in the agroindustrial sector of the Departamento de Antioquia, Colombia. This research establishes the main relationships between latent variables as collaboration, technology, models, optimization and inventory management, based on a literature review and applying a Structural Equation Model to a survey data of a sample of agribusiness companies. The results show that Available Technologies associated with Big Data, generates improvement of Collaboration Strategies, improving also Forecasting and Optimization; besides, Inventory Planning and Collaboration are related to Available Technologies associated with Big Data. A Poisson regression model and a Structural Equation Model estimations detect that the increasing strategies of technologies and Big Data are favorable to apply collaboration in the supply chain management, increasing possibilities to the enterprise competitiveness.

scholarly journals KUALITAS BELANJA DAERAH DAN HUBUNGANNYA DENGAN KINERJA PEMBANGUNAN DI PROVINSI BANTEN

2018 ◽  
Vol 6 (2) ◽  
pp. 16-31
Author(s):  
Sri Wahyuni ◽  
Bambang Juanda ◽  
Idqan Fahmi
Keyword(s):  
Structural Equation ◽  
Secondary Data ◽  
Equation Model ◽  
Version 2.0 ◽  
Performance Development ◽  
And Performance ◽  
The Relationship ◽  
Quality Map ◽  
Better Than

This study aims to analyze the relevant indicators of spending quality in measuring the quality of regional spending as well as the relationship between the quality of regional spending and the development performance of the regencies/cities of Banten Province. This study uses secondary data from the governance, financial and performance development of the districts/cities of Banten Province between 2009 – 2013. The Data are analyzed using Partial Least Squares Structural Equation Model (PLS–SEM) using SmartPLS software version 2.0 & SmartPLS version 3.0. The Results show that there are 21 indicators out of 40 indicators that are relevant in measuring the quality of the districts/cities spending in Banten Province. The change of the spending quality map from 2009 to 2013 shows that the quality of North Banten (Tangerang Regency, Tangerang City, Tangerang Selatan, Serang Regency, Serang City and Cilegon City) is better than South Banten (Pandeglang and Lebak). In addition, the estimation results from the model used indicate that the quality of the region spending of Banten Provinve has a positive relationship with the performance of development with the value of the indicator 0,678. Keywords : Development Performance, PLS-SEM, Spending Quality

scholarly journals Modelo predictor de las conductas del balance energético corporal BEC (Predict model of the body energy balance BEB behaviors)

Retos ◽  
2021 ◽  
Vol 41 ◽  
pp. 653-663
Author(s):  
Andrés Gómez-Acosta ◽  
Constanza Londoño
Keyword(s):  
Energy Balance ◽  
Health Beliefs ◽  
Structural Equation ◽  
Contextual Factors ◽  
Equation Model ◽  
The Body ◽  
Sociocultural Factors ◽  
P Value ◽  
Cross Sectional ◽  
Body Energy

Hace falta evidencia acerca de la sinergia entre los factores psicológicos y contextuales que subyacen a la práctica simultánea de las conductas del balance energético corporal [BEC] (actividad física [AF], alimentación saludable [AS] y sueño de calidad [SC]). Por ello, se busca identificar si el optimismo disposicional [OD], flexibilidad en regulación emocional [RE], las creencias compensatorias en salud [CCS] y factores ambientales – socioculturales, predicen los dominios conductuales señalados en adultos, a través de un Modelo de Ecuaciones Estructurales [MEE]. Para ello, se dispuso de una investigación explicativa trasversal con una muestra de 300 participantes, que diligenciaron un cuadernillo compuesto por instrumentos psicométricos validados (uno por cada variable indagada). Los resultados establecieron que la tendencia a la realización de las conductas el BEC es predicha por los factores contextuales referidos y las variables psicológicas evaluadas (R=.54, valor p < .05). Se valida un modelo hipotético que incorpora el agregado conductual del sueño en la ecuación del BEC, susceptible de modificación e inclusión de nuevas variables.  Abstract. There is a lack of evidence about the synergy between the psychological and contextual factors that underlie the simultaneous practice of the behavioral domains of the Body Energy Balance [BEB] (Physical Activity [PA], Healthy Eating [HE] & Quality Sleep [QS]). Therefore, we seek to identify whether dispositional optimism [DO], emotion regulation [ER] flexibility, compensatory health beliefs [CHB], and environmental-sociocultural factors, predict behaviors of the body energy balance [BEB] in adults, through a Structural Equation Model [SEM]. To do this, cross-sectional explanatory research was available with a sample of 300 participants, who completed a booklet made up of validated psychometric instruments (one for each variable investigated). The results established that the tendency to perform the BEB behaviors is predicted by the contextual factors referred to, and the psychological variables were evaluated (R=.54, p-value < .05). A hypothetical model that incorporates the behavioral aggregate of sleep in the BEB equation is validated, subject to modification and inclusion of new variables.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

Role of Human Resources, Production Process, and Flexibility on Commercial Benefits From AMT Investments

2022 ◽  
pp. 760-790
Author(s):  
Jorge Luis García-Alcaráz ◽  
Emilio Jiménez-Macías ◽  
Arturo Realyvásquez-Vargas ◽  
Liliana Avelar Sosa ◽  
Aide Aracely Maldonado-Macías
Keyword(s):  
Human Resources ◽  
Production Process ◽  
Direct Effect ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Manufacturing Companies ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies

Advanced manufacturing technologies (AMT) acquisition by maquiladoras (foreign-owned manufacturing companies) is a tendency that allows these companies to maximize their commercial benefits. However, it remains unclear how the AMT implementation impacts on their performance. In addition, this research studies 383 responses to a questionnaire about the AMT implementation in the Mexican maquiladora industry and reports an analysis with four latent variables associating obtained benefits after the AMT implementation—human resources, flexibility, production process, and commercial benefits—where their relationships are evaluated through six hypotheses using a structural equation model (SEM). Finally, the outcomes demonstrated that AMT benefits for human resources have a direct effect on flexibility, production process, and commercial benefits. However, the direct effect from human resources benefits, knowledge, and experience on commercial benefits are acquired through indirect effects, using flexibility and production process as mediator variables.

Constructing Structural Equation Model Rule-Based Fuzzy System with Genetic Algorithm

2016 ◽  
Vol 7 (2) ◽  
pp. 69-88 ◽  
Author(s):  
EnDer Su ◽  
Thomas W. Knowles ◽  
Yu-Gin Fen
Keyword(s):  
Genetic Algorithm ◽  
Risk Factor ◽  
Structural Equation Model ◽  
Latent Variables ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Lower State ◽  
Inference System ◽  
United States Dollar

The present study uses the structural equation model (SEM) to analyze the correlations between various economic indices pertaining to latent variables, such as the New Taiwan Dollar (NTD) value, the United States Dollar (USD) value, and USD index. In addition, a risk factor of volatility of currency returns is considered to develop a risk-controllable fuzzy inference system. The rational and linguistic knowledge-based fuzzy rules are established based on the SEM model and then optimized using the genetic algorithm. The empirical results reveal that the fuzzy logic trading system using the SEM indeed outperforms the buy-and-hold strategy. Moreover, when considering the risk factor of currency volatility, the performance appears significantly better. Remarkably, the trading strategy is apparently affected when the USD value or the volatility of currency returns shifts into either a higher or lower state.

Teaching digital natives to acquire competences for sustainable development

2020 ◽  
Vol 21 (6) ◽  
pp. 1053-1069
Author(s):  
Llorenç Bagur-Femenías ◽  
Marian Buil-Fabrega ◽  
Juan Pedro Aznar
Keyword(s):  
Sustainable Development ◽  
Structural Equation ◽  
Teaching And Learning ◽  
Dynamic Capabilities ◽  
Digital Natives ◽  
Equation Model ◽  
Development Education ◽  
Content Type ◽  
Research Findings ◽  
Development Goals

Purpose The purpose of this research is to analyse how to adapt teaching and learning methodologies to new generations of digital natives to promote their commitment to sustainable development. The research explores the existence of a relationship between digital natives’ characteristics, individual dynamic capabilities and their commitment to innovation and therefore to sustainability. Design/methodology/approach A structural equation model is used to test the proposed hypothesis by a survey conducted with 532 digital-native higher education students. Findings The results show the existence of a significant relationship between digital natives’ competences, individual dynamic capabilities and a better approach to managing situations with regard to relationships with key stakeholders and the fostering of innovation and commitment to the social and environmental issues demanded by society. Research limitations/implications The limitations of this study are that it is based on a sample from a specific Spanish university that cannot be representative of all digital natives from all universities and different cultural contexts. The variables measuring the characteristics of digital natives have only recently been used in the academic literature. Practical implications The research proposes including individual dynamic capabilities and innovation courses in sustainable development education to accelerate the implementation of sustainable development goals. These research findings can be used as insights into the development of university programmes and courses. Originality/value This research is one of the first attempts at understanding how to promote education for sustainable development among digital natives and at identifying them as future change makers for sustainable development.

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