scholarly journals Managerial Optimism Level and Investment Decision: Decision Tree Analysis

2017 ◽  
Vol 6 (1) ◽  
pp. 107
Author(s):  
Mohamed Ali Azouzi ◽  
Anis Jarboui
Keyword(s):  
Decision Tree ◽  
Investment Decision ◽  
Decision Tree Analysis ◽  
Short Term ◽  
Tree Analysis ◽  
Specific Investment ◽  
Pioneering Advantage ◽  
Managerial Optimism ◽  
The Relationship

This paper deals with the relationship existing between the emotional aspect and decision-making. More specifically, it examines the links between managerial optimism, and effectiveness of the investment decision. We introduce an approach based Decision Tree analysis with a series of semi-directive interviews. CEO optimism level was measured using a questionnaire with several items. As for the selected sample was composed of 100 Tunisian managers. The originality of this research paper is guaranteed since it traits the behavioral corporate policy choice in emergent markets. In the best of our knowledge, this is the first study in the Tunisian context that explores such area of research. Our results show that Tunisian optimistic leader who seeks the pioneering advantage for him and his company is encouraged to adjust its specific investment decision (investment, overinvestment or under-investment in the short term or long term ...) to ensure that advantage pioneer.

scholarly journals DEVELOPMENT OF AN INTEGRATED SCREENER FOR UNDERNUTRITION WITHIN A COMPREHENSIVE GERIATRIC ASSESSMENT SYSTEM

2015 ◽  
pp. 1-9
Author(s):  
O.R.L. Wright ◽  
K. Klein ◽  
P. Lakhan ◽  
A.P. Vivanti ◽  
L.C. Gray
Keyword(s):  
Weight Loss ◽  
Decision Tree ◽  
Acute Care ◽  
Geriatric Assessment ◽  
Comprehensive Geriatric Assessment ◽  
Short Term Memory ◽  
Decision Tree Analysis ◽  
Short Term ◽  
Term Memory ◽  
Tree Analysis

Objective: To develop a screener for the presence of undernutrition in older adults in acute care utilizing items within a comprehensive geriatric assessment (CGA) instrument (the interRAI Acute Care). Design: Prospective cohort study and retrospective medical record review of nutritional assessment data. Setting: Acute care tertiary teaching hospital in Brisbane, Australia. Participants: Five hundred fifty-seven general medical patients aged 70 and older admitted to the hospital. Measurements: Prevalence of geriatric syndromes at admission; measures of functional status (activities of daily living), cognition, behavioural symptoms, social support, community assistance services, health conditions, medications and other medical treatments, weight, body mass index (BMI), mode of nutritional intake; demographic variables and Subjective Global Assessment (SGA) of nutritional status. These measures were tested for their prediction of undernutrition using a logistic regression model and decision tree analysis. Results: The following variables were significant independent predictors of undernutrition on admission, after adjustment for age and gender: (i) feeling sad/depressed (OR: 3.494 [1.124-10.864]; p<0.05); (ii) short term memory recalling ability (OR: 3.325 [1.152-9.594]; p<0.05); (iii) weight loss of 5% or more in the last 30 days or 10% or more in the last 180 days (OR: 2.877 [0.983-8.416]; p=0.05); (iv) fatigue (OR: 3.494 [1.414-43.205]; p<0.05). Decision tree analysis revealed two models most predictive of undernutrition: (i) short term memory recalling ability and depression (AUC 72.8% [95% CI: 65%-80.6%]); (ii) short term memory recalling ability and recent weight loss (5% or more in the last 30 days or 10% or more in the last 180 days) (AUC: 74.8% [95% CI: 65.9% - 83.6%]). Conclusion: Several measures within the interRAI-AC may be used as part of a screener for undernutrition in acute hospital patients aged 70 years or older. The combination of short term memory recalling ability and percentage weight loss provides the most statistically robust screener for undernutrition within the interRAI-AC.

Corporate social responsibility of Internet enterprises based on data mining

2020 ◽  
pp. 002072092094058
Author(s):  
Wenzhong Zhu ◽  
Yabo Shang ◽  
Sitong He ◽  
Wen-Tsao Pan
Keyword(s):  
Data Mining ◽  
Cluster Analysis ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Decision Tree ◽  
The Internet ◽  
Decision Tree Analysis ◽  
Tree Analysis ◽  
Corporate Social ◽  
The Relationship

In the age of the Internet economy, Internet enterprises have attracted tremendous public attention, especially in China. In this paper, data mining through regression analysis, grey relational analysis, decision tree analysis and cluster analysis is implemented to further study the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP) of Internet enterprises in China. This study collects and analyzes data of 20 Internet enterprises in China from the year of 2011 to 2016 and draws the following conclusions: (1) the relationship between CSR and CFP of the Internet enterprises is negative; (2) from the stakeholder perspective, CSR to shareholders, creditors and government is positively related to CFP; CSR to customers, suppliers and employees is not positively related to CFP; (3) through decision tree analysis, it is found that what affects the overall CSR performance of the Internet enterprises the most is CSR to customers and suppliers, while what affects the CFP of the Internet enterprises the most is CSR to creditors; (4) through cluster analysis, 20 enterprises can be divided into three types. This study has theoretical, methodological, practical and educational implications for future related research, business practitioners and educational institutions.

scholarly journals The Effects of Differences in Individual Characteristics and Regional Living Environments on the Motivation to Immigrate to Hometowns: A Decision Tree Analysis

2019 ◽  
Vol 9 (13) ◽  
pp. 2748
Author(s):  
Sekiguchi ◽  
Hayashi ◽  
Sugino ◽  
Terada
Keyword(s):  
Decision Tree ◽  
Local Governments ◽  
Population Decline ◽  
Individual Characteristics ◽  
City Size ◽  
Decision Tree Analysis ◽  
Online Questionnaire ◽  
Tree Analysis ◽  
Living Environments ◽  
The Relationship

Population decline and rural–urban population disparities are serious problems in Japan. This study aims to investigate the relationship between people’s motivations to migrate to their hometowns (“U-turn migration”) and their evaluations of the living environments of both their hometowns and current places of residence. An online questionnaire survey was conducted for people living in multiple places in Japan. By using the data of respondents’ U-turn motivations and their evaluations of living environments, we conducted a decision tree analysis to quantitatively describe the multilayered relationship between the environments and people’s motivations, and we focused on patterns that can ameliorate the population disparities. These are the major findings: first, living environments in both the hometown and at the current place of residence affected the U-turn motivations. Second, respondents were divided into several groups based on similar U-turn motivation structures, and with different demographic characters among the groups. Additionally, the evaluations of some living environments tend to depend on the city size or geographic locations. Although some groups’ U-turn migrations may improve population disparities, the improvement and maintenance of living environments are necessary. The results can help local governments in identifying the living environments that need development, and in estimating the feasibility of U-turn migrations.

scholarly journals Interrelated Factors for Return to Work of Sick-Listed Employees in Sweden

2021 ◽  
Vol 15 ◽  
Author(s):  
John Selander ◽  
Jing Sun ◽  
Asa Tjulin ◽  
Nicholas Buys
Keyword(s):  
Decision Tree ◽  
Return To Work ◽  
Sickness Absence ◽  
Work Ability ◽  
Economic Cost ◽  
Supervisor Support ◽  
National Sample ◽  
Decision Tree Analysis ◽  
Tree Analysis

Abstract Purpose: Long-term sickness absence is a significant human and economic cost in many countries, including Sweden making research on factors which impact on return to work (RTW) relevant. This study has two aims: (1) provide an overview of factors that impact RTW expectations in a national sample of Swedish workers on long-term sickness absence; and (2) gain an understanding of the interrelationships among these factors using a socioecological framework and decision tree analysis. Method: A survey, designed to capture information about demographic variables, health and work ability, workplace contact, supervisor support and expectations of return to work, was mailed to 1,112 randomly selected sick-listed people in Sweden and completed by 534, representing a response rate of 48%. Results: The most important factors affecting RTW expectations were work ability and burnout. Employees reporting high levels of work ability were more likely to expect to RTW compared to those reporting low levels, and this was dependent on their relative burnout score. Those with a high burnout score were less likely to expect to RTW, while for those with a low burnout score RTW expectations were dependent on age, country of birth, and supervisor support. For young employees reporting low work ability and low burnout score, RTW expectations were lower. Conclusions: Our results suggest a more nuanced approach to delivery of RTW services is required, whereby practitioners need to understand the socioecology of the range of factors that impact RTW expectations. The use of decision tree analysis facilitates this understanding by describing the interrelationships between these factors.

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