“Here for a good time, not a long time”: Decision-making, future consequences and alcohol use among Northern Irish adolescents

In the process of selecting Indonesian Workers (TKI) based on quality at PT. Adila Prezkifarindo Duta is classified as still manual, where there is not yet a system for selecting quality migrant workers so it requires a long time for its assessment and the selection process is less effective. To support decision making in the selection of qualified Indonesian Workers (TKI) to make it easier by using a decision support system. One method used in the selection of qualified Indonesian Workers is the Profile Matching method. The profile matching method is a decision-making mechanism by assuming that there is an ideal level of predictor variables that must be met by applicants, rather than the minimum level that must be met or passed. In the profile matching process a process will be compared between individual competencies into standard competencies so that different competencies can be identified (also called Gap). The smaller the gap produced, the greater the weight value. In matching this profile, the selected TKI candidates are Indonesian Workers who are closest to the ideal profile of a qualified TKI.

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How Africa Should Engage Ubuntu Ethics and Artificial Intelligence

Journal of Public Health International ◽

10.14302/issn.2641-4538.jphi-20-3427 ◽

2020 ◽

Vol 2 (4) ◽

pp. 20-25

Author(s):

Simon K. Langat ◽

Pascal M. Mwakio ◽

David Ayuku

Keyword(s):

Artificial Intelligence ◽

Decision Making ◽

Human Society ◽

Communitarian Ethics ◽

Global Organization ◽

The World ◽

New Thinking ◽

Long Time

Automation of human tasks has taken place for a long time now. Humans have in earlier periods dreamed of a world where machines capable of mimicking decision making would be created with some works of fiction describing in caricature, how machines would take over the human space in the world. Artificial intelligence has come to fruition in the last few decades following the development of fast computing capability and vast chip memory. Discussions of how the human space will look and feel when artificial intelligence have taken place at various levels of global organization geared towards ensuring that the new “thinking machines” do not rock human society in ways to render them obsolete. This article looks at the ethics of AI considering the issues that have been outlined by others in the light of communitarian ethics as seen in Africa. It describes the possible impact of thinking machines on society and how individuals would relate with each other and with AI systems.

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BEHAVIORAL FINANCE DAN PENGARUHNYATERHADAP PENGAMBILAN KEPUTUSAN HUTANG (Studi Pada Usaha Kecil Dan Menengah (UKM) di Pulau Lombok )

JMM UNRAM - MASTER OF MANAGEMENT JOURNAL ◽

10.29303/jmm.v7i1.398 ◽

2018 ◽

Vol 7 (1) ◽

pp. 1

Author(s):

Siti Aisyah Hidayati ◽

Sri Wahyulina ◽

Embun Suryani

Keyword(s):

Decision Making ◽

Behavioral Finance ◽

College Graduates ◽

Illusion Of Control ◽

Statistical Tools ◽

Level Of Education ◽

Long Time ◽

Question Form ◽

Age Of Majority ◽

Selection Of

This research aims to analyze: 1) The effect of overconfidence against debt decision-making on SME’s, 2) The Effect of the illusion of control against debt decision-making on SME’s, 3) The effect of availability against debt decision-making on SME’s.This research is a research-based approach to quantitative, with this type of research is explanatory research. The population of the research was all SME’s that are located on the island of Lombok. The technique of sampling done with Non probability sampling, i.e. using judgement sampling i.e. selecting SME’s engaged in pottery industry and already exports. Of the population, there are 35 (thirty five) SME’s which can be taken as a sample. The respondents in this study was a financial manager at the same time as the owner of each such SME’s. Data collection techniques used in this research is to use the question form. To achieve the research objectives and hypothesis testing, then the data acquired will be processed according to your needs by using statistical tools GSCA (Generalized Structured Component Analysis).The results showed: 1) Overconfidence has no significant effect on decision-making on debt undertaken by owner Managers, 2) Illusion of Control has significant effect on decision-making on debt undertaken by the SME owner managers, 3) Avaibility has no significant effect on decision-making on debt undertaken by the SME owner managers. This shows the SME’s managers in the selection of a rational debt as a source of funding. The rational attitude effected by the characteristics of respondents who was the Manager of the SME’s owner, i.e., the age of majority SME’s managers are still productive ranged from 37 to 54 years of age, mostly female, with a level of education mostly high school and college graduates, as well as long time effort over 10 years. Keywords: overconfidence, illusion of control, avaibility, decision making of debt

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Affective decision-making moderates the effects of automatic associations on alcohol use among drug offenders

The American Journal of Drug and Alcohol Abuse ◽

10.1080/00952990.2016.1216557 ◽

2016 ◽

Vol 43 (5) ◽

pp. 534-544 ◽

Cited By ~ 2

Author(s):

Christopher Cappelli ◽

Susan Ames ◽

Yusuke Shono ◽

Mark Dust ◽

Alan Stacy

Keyword(s):

Decision Making ◽

Alcohol Use ◽

Drug Offenders ◽

Automatic Associations

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Social Network Analysis

Advances in Human Resources Management and Organizational Development - Handbook of Research on Autopoiesis and Self-Sustaining Processes for Organizational Success ◽

10.4018/978-1-7998-6713-5.ch008 ◽

2021 ◽

pp. 155-184

Author(s):

Yuh-Wen Chen

Keyword(s):

Decision Making ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Multiple Criteria Decision Making ◽

Multiple Objective ◽

Self Organizing Map ◽

Social Communities ◽

The Social ◽

Long Time

Social network analysis (SNA) is an attractive problem for a long time when social communities were popular since 2010. Scholars like to explore the meaning behind the numerous interactions generated at these social media sites. The primary and essential issue of SNA is to monitor, estimate, and engage the potential influencers who are most relevant and active to network. If we can analyze the social network this way, business enterprises could use minimal efforts to sustain the activity of influential users, improve sales, and enhance their reputations. In this chapter, a research framework based on multiple-criteria decision making (MCDM) is proposed. The authors will show how scholars could use dynamic self-organizing map (SOM) based on multiple-objective evolving algorithm (MOEA) and static weighted influence non-linear gauge system (WINGS) to analyze a social network. Finally, comparisons are made between the innovative approaches and the methods in tradition.

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MasterchEF

10.4018/978-1-7998-8645-7.ch007 ◽

2022 ◽

pp. 131-154

Author(s):

Isaac J. Pérez-López ◽

Carmen Navarro-Mateos

Keyword(s):

Decision Making ◽

Learning Process ◽

Learning Experience ◽

Good Time ◽

Teaching Staff ◽

Good Teacher ◽

Student Body ◽

Emotional Management ◽

Teacher Needs ◽

Academic Year

During the 2019/2020 academic year, a learning experience built based on the famous cooking show Master Chef was implemented. This was executed in the specialization in Physical Education of the teaching Master's degree. During this experience, candidates (the student body) had to face different weekly challenges (individual, in groups, and eliminatory) based on the ingredients (course contents) that were presented weekly by the chef (the professor). This proposal was built using active methodologies as a reference, turning the student body into the protagonists of their learning process and encouraging those competencies that a good teacher needs in their day-to-day life. The authors ensured that the essence of the original program, characterized by requiring good time-managing skills, continuous decision making, or necessary emotional management, was maintained. At the same time, they took special care of details such as aesthetics or the language employed in Master Chef. Results show the viability and potential of this type of approach in the formative process of future teaching staff.

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A Reexamination of Firm’s R&D Expenditure Behavior

Asian Journal of Finance & Accounting ◽

10.5296/ajfa.v12i1.16968 ◽

2020 ◽

Vol 12 (1) ◽

pp. 131

Author(s):

Hsin-Jung Hsieh ◽

Yen-Chih Liu

Keyword(s):

Decision Making ◽

Firm Value ◽

Economic Activities ◽

Potential Growth ◽

Macroeconomic Conditions ◽

Listed Firms ◽

Market Competitiveness ◽

Growth Opportunity ◽

Long Time ◽

Knowledge Intensive

Knowledge acts as a crucial element in economic activities. For knowledge-intensive business, R&D activities maintain market competitiveness and create new firm value. R&D expenditure indeed brings forth potential growth opportunities for firm value although the growth may take a long time to achieve. Apart from that, it usually accompanies problems of agency costs and asymmetric information in daily firm operations, which, in turn, may offset the certainty of a firm’s increasing value. This study examines the decision-making on optimal R&D expenditure for listed firms in Taiwan. From January 1986 to December 2013, the data of all the listed firms excluding financial, insurance, and securities firms have been analyzed. In addition, to further explore the differences in decision-making among different macroeconomic conditions, industrial attributes and firms’ characteristics, we divide all samples into subsamples to reexamine. The empirical findings indicate that firms may weigh the cost and benefit of R&D expenditure in its decision, but the driving factor lies in firm’s return on assets (ROA), potential growth opportunity, and capital structure.

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