Excellence in Sustainable Management in a Changing Environment

In the current changing environment, organizations need to evolve from a profitable perspective to a more sustainable focus. To deal with this change, the implementation of specific quality models and principles might help. Thus, the present article aims to study whether sustainable management can be achieved in specific organizations (enterprises, associations, and government institutions) by identifying the EFQM principles. Moreover, it analyses which of these quality principles positively and directly impacts the performances studied (environmental, social, and economic). To achieve these objectives, Ordinal Logistic Regression (ORL) was performed using data corresponding to the sample compiled by the Càtedra Universitària de Responsabilitat Social (RSU) from University of Girona. The research results indicate that implementing specific quality principles all the dimensions improved; thus, the organization becomes more sustainable. The value of this research lies in its contribution to the sustainable management literature; adds knowledge to the ongoing debate about the possible influence of TQM principles on the specific dimensions of sustainable management and highlight the importance of having a clear strategy to obtain the highest sustainable performance.

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Abstract TP197: Risk of Stroke in Women with use of Testosterone-Containing Hormone Replacement Therapy

Stroke ◽

10.1161/str.48.suppl_1.tp197 ◽

2017 ◽

Vol 48 (suppl_1) ◽

Author(s):

Haseeb A Rahman ◽

Ahmed Malik ◽

Aesha Rahman ◽

Saqib Chaudhry ◽

Malik M Adil ◽

...

Keyword(s):

Logistic Regression ◽

Risk Factor ◽

Hormone Replacement Therapy ◽

Replacement Therapy ◽

Stroke Risk ◽

Hormone Replacement ◽

Future Studies ◽

Baseline Visit ◽

Using Data

Background: There has been debate in the role of exogenous testosterone as a risk factor for stroke. Hormone replacement therapy (HRT) is considered a risk factor for stroke. The risk of ischemic stroke may increase when using testosterone-containing HRT. Methods: Using data from the observational component of the Women’s Health Initiative (WHI) [WHI Observational Study (OS)], we analyzed the 93,676 women aged 50-79 years, who participated in the OS over a period of 12±1 years. We compared the outcome of stroke in participants with reported use of a combination of testosterone and estrogen, estrogen alone, progesterone alone, and a combination of estrogen and progesterone, as recorded at the baseline visit. A logistic regression analysis was run to determine the odds of developing stroke. Results: Of the 93, 676 participants, 1772 used a combination of testosterone and estrogen (Estratest) HRT, 11,282 used progesterone alone, 10,808 used a combination of estrogen and progesterone, and 31,673 used estrogen alone. A smaller proportion of participants who developed an outcome of stroke had used Estratest as compared to estrogen alone or a combination of estrogen and progesterone (1.9% vs. 96.3% p=0.62). In the logistic regression, participants who had used Estratest were 1.2 times as likely to develop stroke as users of other hormone replacement therapy (OR 1.2 95%CI (0.96-1.6)), while women who had used progesterone only were 0.87 times less likely to develop stroke than users of other hormone replacement therapy (OR 0.874 95%CI (0.77-0.99)). After adjusting for confounders, the risk of developing stroke increased in users of Estratest (OR 1.25 95%CI (0.96-1.6) p=0.04), and decreased in users of progesterone only (OR 0.873 95%CI (0.77-0.99) p=0.038). Conclusion: Use of testosterone-containing HRT slightly increased the risk of stroke in women when compared to progesterone alone HRT, although this was not found to be significant. Stroke risk with Estratest may be considered to be similar to estrogen only and combination of estrogen plus progesterone HRT. Future studies are required to investigate these correlations.

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The value of university internships

Estudios sobre Educación ◽

10.15581/004.40.127-148 ◽

2021 ◽

Vol 40 ◽

pp. 127-148

Author(s):

Sandra Fachelli ◽

Eric Fernández-Toboso

Keyword(s):

Logistic Regression ◽

University Students ◽

Labour Market ◽

Binary Logistic Regression ◽

Regression Technique ◽

Job Placement ◽

Bivariate Analysis ◽

University Graduates ◽

Using Data

Universities place particular importance on their internship projects for university students. The purpose of this study is to identify if the internships have an impact on the students’ entry to the labour market. The methodology used is based on the bivariate analysis and the multiple binary logistic regression technique, using data from the 2014 Survey on the Labour Insertion of University Graduates (EILU), carried out by the INE. The sample used comprises 30,379 graduates and in the internships section, 21,622 university graduates. The results obtained confi rm that internships are a tool for job placement.

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Playing by different rules: indicators of happiness on playgrounds

10.32920/ryerson.14665089.v1 ◽

2021 ◽

Author(s):

Michelle Rowland

Keyword(s):

Logistic Regression ◽

Elementary Schools ◽

Critical Role ◽

Pilot Project ◽

Outdoor Play ◽

Social Health ◽

Community Interest ◽

Significant Relationships ◽

Public Elementary Schools ◽

Using Data

As our cities continue to urbanize, opportunities for children’s unstructured outdoor play are declining. Play is a right to children, and holds a critical role in children’s lives. Creating opportunities for play during school hours produces significant physical and social health benefits. OPAL (Outdoor Play and Learning) is a registered community interest program originating in England transforming attitudes to play supervision, environment and provision within schools. In Toronto, Canada an OPAL pilot project is being implemented at six public elementary schools. Using data from this pilot, this study examines how differences in happiness while playing at schools vary across play conditions and duration. The study explores baseline data collected in Spring 2016 among 352 of 9-12-year-old children, attending grades 4 to 6. Binomial logistic regression was performed for recess and lunch play showing the correlation between happiness and play duration. There are statistically significant relationships between happiness and play conditions. Key words: outdoor play, unstructured, happiness, children, Toronto

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Military Versus Civilian Murder-Suicide

Journal of Interpersonal Violence ◽

10.1177/0886260515593299 ◽

2015 ◽

Vol 32 (17) ◽

pp. 2566-2590 ◽

Cited By ~ 5

Author(s):

Christina L. Patton ◽

Matthew R. McNally ◽

William J. Fremouw

Keyword(s):

Logistic Regression ◽

Physical Health ◽

Violent Behavior ◽

Health Problems ◽

Violence Risk ◽

Chi Square ◽

Physical Health Problems ◽

Military Populations ◽

Using Data ◽

The Military

Previous studies have implicated significant differences between military members and civilians with regard to violent behavior, including suicide, domestic violence, and harm to others, but none have examined military murder-suicide. This study sought to determine whether there were meaningful differences between military and civilian murder-suicide perpetrators. Using data from the Center for Disease Control’s (CDC) National Violent Death Reporting System (NVDRS), military ( n = 259) and civilian ( n = 259) murder-suicide perpetrators were compared on a number of demographic, psychological, and contextual factors using chi-square analyses. Logistic regression was used to determine which variables predicted membership to the military or civilian perpetrator groups. Military murder-suicide perpetrators were more likely to be older, have physical health problems, be currently or formerly married, less likely to abuse substances, and to exhibit significantly different motives than civilian perpetrators. Logistic regression revealed that membership to the military, rather than the civilian, perpetrator group was predicted by age, physical health problems, and declining heath motive—reflecting the significance of a more than 15-year difference in mean age between the two groups. Findings point to the need to tailor suicide risk assessments to include questions specific to murder-suicide, to assess attitudes toward murder-suicide, and to the importance of assessing suicide and violence risk in older adult military populations.

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Data Science Tools Application for Business Processes Modelling in Aviation

Advances in Computer and Electrical Engineering - Cases on Modern Computer Systems in Aviation ◽

10.4018/978-1-5225-7588-7.ch006 ◽

2019 ◽

pp. 176-190

Author(s):

Maryna Nehrey ◽

Taras Hnot

Keyword(s):

Decision Making ◽

Logistic Regression ◽

Unsupervised Learning ◽

Decision Trees ◽

Supervised Learning ◽

Data Science ◽

Business Processes ◽

Business Decision ◽

Logistic Regression Models ◽

Using Data

Successful business involves making decisions under uncertainty using a lot of information. Modern modeling approaches based on data science algorithms are a necessity for the effective management of business processes in aviation. Data science involves principles, processes, and techniques for understanding business processes through the analysis of data. The main goal of this chapter is to improve decision making using data science algorithms. There are sets of frequently used algorithms described in the chapter: linear, logistic regression models, decision trees as a classical example of supervised learning, and k-means and hierarchical clustering as unsupervised learning. Application of data science algorithms gives an opportunity for deep analyses and understanding of business processes in aviation, gives structuring of problems, provides systematization of business processes. Business processes modeling, based on the data science algorithms, enables us to substantiate solutions and even automate the processes of business decision making.

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Data Science Tools Application for Business Processes Modelling in Aviation

Research Anthology on Reliability and Safety in Aviation Systems, Spacecraft, and Air Transport ◽

10.4018/978-1-7998-5357-2.ch024 ◽

2021 ◽

pp. 617-631

Author(s):

Maryna Nehrey ◽

Taras Hnot

Keyword(s):

Decision Making ◽

Logistic Regression ◽

Unsupervised Learning ◽

Decision Trees ◽

Supervised Learning ◽

Data Science ◽

Business Processes ◽

Business Decision ◽

Logistic Regression Models ◽

Using Data

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Replicator degrees of freedom allow publication of misleading failures to replicate

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1910951116 ◽

2019 ◽

Vol 116 (51) ◽

pp. 25535-25545 ◽

Cited By ~ 6

Author(s):

Christopher J. Bryan ◽

David S. Yeager ◽

Joseph M. O’Brien

Keyword(s):

Data Analysis ◽

Experimental Design ◽

Degrees Of Freedom ◽

Large Scale ◽

Current Practice ◽

False Negative ◽

Ongoing Debate ◽

Key Dimensions ◽

Using Data

In recent years, the field of psychology has begun to conduct replication tests on a large scale. Here, we show that “replicator degrees of freedom” make it far too easy to obtain and publish false-negative replication results, even while appearing to adhere to strict methodological standards. Specifically, using data from an ongoing debate, we show that commonly exercised flexibility at the experimental design and data analysis stages of replication testing can make it appear that a finding was not replicated when, in fact, it was. The debate that we focus on is representative, on key dimensions, of a large number of other replication tests in psychology that have been published in recent years, suggesting that the lessons of this analysis may be far reaching. The problems with current practice in replication science that we uncover here are particularly worrisome because they are not adequately addressed by the field’s standard remedies, including preregistration. Implications for how the field could develop more effective methodological standards for replication are discussed.

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Gender Equality and Sentencing Outcomes: An Examination of State Courts

Criminal Justice Policy Review ◽

10.1177/0887403419840804 ◽

2019 ◽

Vol 31 (5) ◽

pp. 673-695

Author(s):

Jeffrey S. Nowacki

Keyword(s):

Logistic Regression ◽

Gender Equality ◽

State Courts ◽

State Court ◽

Multilevel Logistic Regression ◽

County Level ◽

Using Data ◽

Court Processing ◽

The Relationship ◽

Sentencing Outcomes

The current study examined whether measures of structural gender equality conditioned the effects of defendant gender on incarceration decisions. Using data from the State Court Processing Statistics (SCPS) database, multilevel logistic regression was used to examine the relationship between both case- and county-level variables on incarceration decisions on a sample of defendants sentenced in state courts. Results indicated that women were less likely to be sentenced to prison than men, but there was no gender difference for jail and noncustodial sentences; however, the structural gender equality measures exerted only slight influences over sentencing outcomes.

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Refusal of Cancer-Directed Surgery Strongly Impairs Survival of Patients with Localized Hepatocellular Carcinoma

International Journal of Surgical Oncology ◽

10.1155/2010/381795 ◽

2010 ◽

Vol 2010 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Jue Wang ◽

Fen Wei Wang

Keyword(s):

Hepatocellular Carcinoma ◽

Logistic Regression ◽

African American ◽

Proportional Hazards ◽

Cox Proportional Hazards ◽

High Rate ◽

Advanced Stage ◽

Tumor Characteristics ◽

Using Data ◽

Program Characteristics

Background: This study investigated the frequency of patients with HCC who refused cancer-directed surgery and the characteristics and outcomes of these patients.Patients and Methods: A retrospective study was performed using data from the Surveillance, Epidemiology, and End Results (SEER) Program. Characteristics of patients who refused CDS were compared with those who accepted surgery using logistic regression. The effect of refusing CDS on mortality was evaluated by Cox proportional hazards analysis.Results: Among 4373 surgical candidates, 142 patients (3.2%) refused the recommended CDS. The patients who refused CDS were frequently older, African American, widowed or divorced, and had advanced-stage tumors. In a logistic regression analysis, older age, African American, and being divorced or widowed were independently associated with refusal of CDS. After adjusting for other patient and tumor characteristics, the patients who refused CDS had a 2.5-fold (95% confidence interval, 2.339–3.189) higher risk of dying from HCC in comparison with patients who had CDS. Conclusions: The high rate of refusal may contribute in part to the disparity in utilization of CDS. Of greatest concern is that the patients who declined CDS had an impaired survival. This information might be helpful for patients to make a better-informed decision.

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Forced Sexual Victimization Among Youth in Custody: Do Risk Factors Vary by Gender and Perpetrator?

The Prison Journal ◽

10.1177/0032885519894561 ◽

2019 ◽

Vol 100 (2) ◽

pp. 151-172

Author(s):

Eileen M. Ahlin

Keyword(s):

Risk Factors ◽

Gender Differences ◽

Logistic Regression ◽

National Survey ◽

Regression Models ◽

Sexual Victimization ◽

Multivariate Logistic Regression ◽

Logistic Regression Models ◽

Factors Associated ◽

Using Data

There is relatively little literature examining risk factors associated with sexual victimization among youth in custody. The current study explored whether risk of forced sexual victimization among youth in custody differs by gender or perpetrator. Using data from a sample of 8,659 youth who participated in the National Survey of Youth in Custody, multivariate logistic regression models were employed to investigate gender differences in risk factors associated with overall forced sexual victimization and staff-on-inmate and inmate-on-inmate forced sexual victimization. Findings suggest that gender differences are more pronounced when perpetrator type is considered.

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