The impact of risks management in the success of JIT implementation: Structural equations modeling for relational analysis in the Moroccan industry

2021 ◽  
pp. 1-15
Author(s):  
Fatima Ezzahra Sebtaoui ◽  
Ahmed Adri ◽  
Said Rifai ◽  
Kenza Sahaf
Keyword(s):  
Structural Equations ◽  
Structural Equations Modeling ◽  
Relational Analysis ◽  
The Impact

scholarly journals The Impact of Performance Review Practices on Continuous Improvement in Kaizen Requirements in Services

2019 ◽  
Vol 52 (2) ◽  
pp. 121-133
Author(s):  
Wojciech Ulrych
Keyword(s):  
Theoretical Model ◽  
Continuous Improvement ◽  
Structural Equations ◽  
Structural Equations Modeling ◽  
Performance Review ◽  
Service Departments ◽  
The Impact

The aim of the article is to present the literature and empirical premises of the impact of performance review practices on continuous improvements requirements kaizen in selected departments providing services. The author’s own research was conducted on a purposefully selected group of 143 service departments of various organizations that declared the implementation of the aforementioned solutions. Based on the structural equations modeling a theoretical model and variable constructs were developed. The hypotheses put forward are a reflection of the theoretical model. The results indicate that there is no set of consistent, mutually supportive performance review practices. However, there are single practices in this regard that affect the implementation of kaizen. With the continuous acquisition of lean experience in the studied departments the impact of these practices keeps on strengthening.

scholarly journals Mentoring, Career Plateau Tendencies, Turnover Intentions And Implications For Narrowing Pay And Position Gaps Due To Gender Structural Equations Modeling

2011 ◽  
Vol 27 (6) ◽  
pp. 71 ◽  
Author(s):  
Benjamin P. Foster ◽  
Subhash Lonial ◽  
Trimbak Shastri
Keyword(s):  
Turnover Intentions ◽  
Operating Performance ◽  
Structural Equations ◽  
Related Factors ◽  
Male And Female ◽  
Structural Equations Modeling ◽  
Management Level ◽  
Career Plateau ◽  
Management Accountants ◽  
The Impact

This study analyzed responses to career-related questions from a survey of experienced Canadian Certified Management Accountants (CMAs), relative experts in the field of management accounting, to address how mentoring affects turnover intentions and career plateau tendency of male and female accounting professionals in industry. In this regard, we used structural equations modeling to build and test a framework illustrating the impact of mentoring and career-related factors. Results indicate that fostering a mentoring environment within an organization can strengthen CMAs perceptions of their careers and employers. Mentoring has also been suggested to enhance womens opportunities to advance in organizations and help women break the glass ceiling. Analyses of data relating to compensation in 2007 and 2009 for a sample of female and male CEOs and operating performance of companies led by these CEOs for these years indicate that, that compensation gaps due to gender appear to be narrowing at the top management level.

scholarly journals Employee Ownership And Employee - Shareholders Satisfaction: An Analysis Of French Companies Listed On The SBF 250

2016 ◽  
Vol 32 (3) ◽  
pp. 981-994 ◽  
Author(s):  
Sarah Elouadi ◽  
Tarek Ben Noamene ◽  
Dorsaf Chaher
Keyword(s):  
Employee Ownership ◽  
Structural Equations ◽  
Structural Equations Modeling ◽  
Organizational Attitudes ◽  
Mediating Variables ◽  
The Impact

Our paper examines employees’ ownership as a mechanism that stimulates employee-shareholders’ efforts and encourages them to adopt positive working behavior. Nevertheless, the expected effects of employees’ ownership are not direct and need the inclusion of mediating variables. Our study proposes, then, to investigate the impact of employee ownership on organizational attitudes, analyzing, in particular, the influence of incentives. To this end, we conducted a questionnaire-based survey of employees of French companies listed on the SBF 250. Using structural equations modeling, we were able to conclude to the importance of the considered mediating variables.

scholarly journals An Assessment of the Impact of Information Technology on Marketing and Advertising

2018 ◽  
Vol 8 (1) ◽  
pp. 2526-2531
Author(s):  
Z. Hosseini ◽  
S. Mohammadi ◽  
H. Safari
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Indirect Effect ◽  
Marketing Mix ◽  
Structural Equations ◽  
Structural Equations Modeling ◽  
Impact Of Technology ◽  
The Impact

The present study aimed to evaluate the impact of Technology on Marketing and Advertising by using structural equations modeling. To do this, 200 marketing and information technology (IT) experts participated in the study. They answered questionnaires regarding IT, marketing mix and advertising. For data analysis, structural equations modeling using SMARTPLS were used. The results showed that the effect of IT on marketing mix and advertising was positive and significant. The effect of marketing mix on advertising was positive and significant. The indirect effect of IT on advertising via marketing mix was therefore positive and significant. Totally, the results emphasized the effect of technology on marketing mix and advertising.

Structuring Structural Equations Modeling

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

The impact of subway operation on urban traffic: A GRA-BNs based study

2021 ◽  
pp. 1-16
Author(s):  
Lixin Yan ◽  
Tao Zeng ◽  
Yubing Xiong ◽  
Zhenyun Li ◽  
Qingmei Liu
Keyword(s):  
Bayesian Networks ◽  
Operating Characteristic ◽  
Urban Traffic ◽  
Relational Analysis ◽  
Traffic Security ◽  
Structural Network ◽  
Random Decision Forest ◽  
Roc Area ◽  
Grey Relational ◽  
The Impact

With the development of urbanization, urban traffic has exposed many problems. To study the subway’s influence on urban traffic, this paper collects data on traffic indicators in Nanchang from 2008 to 2018. The research is carried out from three aspects: traffic accessibility, green traffic, and traffic security. First, Grey Relational Analysis is used to select 18 traffic indicators correlated with the subway from 22 traffic indicators. Second, the data is discretized and learned based on Bayesian Networks to construct the structural network of the subway’s influence. Third, to verify the reliability of using GRA and the effectiveness of Bayesian Networks (GRA-BNs), Bayesian Networks with full indicators analysis and other four algorithms (Naive Bayes, Random Decision Forest, Logistic and regression) are employed for comparison. Moreover, the receiver operating characteristic (ROC) area, true positive (TP) rate, false positive (FP) rate, precision, recall, F-measure, and accuracy are utilized for comparing each situation. The result shows that GRA-BNs is the most effective model to study the impact of the subway’s operation on urban traffic. Then, the dependence relations between the subway and each index are analyzed by the conditional probability tables (CPTs). Finally, according to the analysis, some suggestions are put forward.

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