Developments in Double k—Class Estimators of Parameters in Structural Equations

Author(s):  
V. K. Srivastava
Keyword(s):  
2015 ◽  
Vol 14 (2) ◽  
pp. 70-79 ◽  
Author(s):  
Simon L. Albrecht

The job demands-resources (JD-R) model provides a well-validated account of how job resources and job demands influence work engagement, burnout, and their constituent dimensions. The present study aimed to extend previous research by including challenge demands not widely examined in the context of the JD-R. Furthermore, and extending self-determination theory, the research also aimed to investigate the potential mediating effects that employees’ need satisfaction as regards their need for autonomy, need for belongingness, need for competence, and need for achievement, as components of a higher order needs construct, may have on the relationships between job demands and engagement. Structural equations modeling across two independent samples generally supported the proposed relationships. Further research opportunities, practical implications, and study limitations are discussed.


2003 ◽  
Vol 48 (5) ◽  
pp. 680-683 ◽  
Author(s):  
Alexander von Eye

2020 ◽  
Vol 4 (1) ◽  
pp. 15-29
Author(s):  
Nour El Houda Yahiaoui ◽  
Abdelmadjid Ezzine

Corporate governance systems are developed to govern corporations, build trust and create sustainable value for all stakeholders. Paradoxically, in spite of massive efforts in developing governance systems, corporate scandals are persisting. Different studies have strongly recommended business ethics as a solution to this paradox. Thus, this study explores if business ethics supports corporate governance practices in a sample of Algerian corporations. The study used a mixed methodology; qualitative: since this subject is poorly addressed in the Algerian context that requires an exploratory study. Quantitative by developing a structural model demonstrating the relationship between business ethics and corporate governance, Data for the study were collected by means of a questionnaire distributed on an anonymous basis to corporations’ senior managers in Sidi Bel Abbes district. Treatment of collected data is done using two types of analysis: the structural equations modeling approach by using the PLS Path approach (PLS Path Modeling) and linear regression. The study finds out that business ethics leads to better levels of corporate governance and supports its practices; and the reason is mainly due to an implicit involuntary commitment to laws as a minimum required level of compliance, and that the protection of stakeholders’ rights are the most important corporate governance’s dimension affected by business ethics.


2021 ◽  
pp. 147078532110304
Author(s):  
Encarnación Ramos-Hidalgo ◽  
Rosalia Diaz-Carrion ◽  
Carlos Rodríguez-Rad

The importance of ethical behavior in consumers has never been so evident, and in recent years, researchers have generated a great deal of knowledge about ethical consumption. The search for happiness in consumption has been a recurrent line of research by academics of the management and, mainly, the marketing fields. Our study analyses the relationship between ethical and sustainable behavior in consumption and the achievement of consumer happiness. Employing structural equations, the findings of the study suggest that there is a positive relationship between consumers’ predisposition toward sustainable behavior and happiness. In addition, the findings indicate that, when there are reasons to justify unethical behavior in consumption, the consumer also manages to be happier. Important implications for theory and practice are derived from the results. Emphasizing the benefits of sustainable consumption for enhancing happiness might instigate sustainable consumption, especially in the case of those consumers who do not have a positive attitude toward sustainable consumption.


2021 ◽  
Vol 13 (4) ◽  
pp. 2341
Author(s):  
Gabriel González-Valero ◽  
Josep Vidal-Conti ◽  
Félix Zurita-Ortega ◽  
Pere Palou-Sampol

Current research shows that individuals with intellectual disabilities do not engage in enough physical activity to acquire health benefits. However, cooperative learning has been shown to be an effective tool for inclusion and for improving healthy physical habits. The aim of this study is to contrast an explanatory model which incorporates quality of life, active time in cooperative activities, body mass index and age, as well as to analyze, using multi-group structural equations, the existing associations according to the sex of subjects with intellectual disabilities. The convenience sampling used allowed the collection of data from a total of 156 subjects in Granada (Spain), aged between 18–55 years. In terms of gender, the sample was homogeneous, representing 52.6% (n = 82) for women and 47.4% (n = 74) for men. The active time during the cooperative learning was recorded with the Xiaomi Mi Band 2 activity band, for the quality of life scale (GENCAT) was used, and the body mass index was calculated through its standardized equation. Age was directly associated with body mass index in both sexes. Likewise, age was positively related to the active time of women. Quality of life was directly associated with active time and body mass index was inversely related to active time. This study shows the importance of active time during work and cooperative learning in individuals with intellectual disabilities, as it is associated with an improvement in the quality of life and a reduction in the problems of sedentarism, overweight, and obesity.


Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1832
Author(s):  
Mariano Méndez-Suárez

Partial least squares structural equations modeling (PLS-SEM) uses sampling bootstrapping to calculate the significance of the model parameter estimates (e.g., path coefficients and outer loadings). However, when data are time series, as in marketing mix modeling, sampling bootstrapping shows inconsistencies that arise because the series has an autocorrelation structure and contains seasonal events, such as Christmas or Black Friday, especially in multichannel retailing, making the significance analysis of the PLS-SEM model unreliable. The alternative proposed in this research uses maximum entropy bootstrapping (meboot), a technique specifically designed for time series, which maintains the autocorrelation structure and preserves the occurrence over time of seasonal events or structural changes that occurred in the original series in the bootstrapped series. The results showed that meboot had superior performance than sampling bootstrapping in terms of the coherence of the bootstrapped data and the quality of the significance analysis.


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