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  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
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ABC Journal of Advanced Research
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  This is an Open Access Journal Open Access journal
ISSN (Print) 2304-2621 - ISSN (Online) 2312-203X
This journal is no longer being updated because:
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  • Impact of Personality Traits and Socio-Demographic Factors on Depression
           among Doctors and Nurses

    • Authors: Thapasya Maya
      Pages: 1 - 22
      Abstract: The workplace is not immune to conflict and stress, specifically when fulfilling people's responsibilities at great personal costs. Doctors and nurses are always on the frontline in hospitals, vaulting from one stressful high-stakes situation to the next. The HEXACO model of personality traits: Honesty-humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness, has long been hypothesized to be a major predicting factor when determining individuals' responses to stress and susceptibility to experiencing depression. Most research suggests that personality traits resonate with a person's cognitive abilities and how they can deal with stress and depression. However, there is a lack of research on their correlation to depression severity in the Middle East. The current study aimed to investigate the impact of HEXACO personality traits and socio-demographic factors on depression amongst doctors and nurses. A sample of 170 doctors and nurses (62.1% doctors) completed HEXACO-60 and PHQ-9 depression severity questionnaires. The data were analyzed through descriptive statistics, independent samples t-test, ANOVA, correlation, and regression analysis. The findings showed that Honesty-humility was the strongest predictor, while extraversion was the second strongest. Emotionality had the least impact on depression. The relationship between Agreeableness and Openness to Experience with depression was insignificant. However, gender, age, working hours, and work experience were significant predictors of depression. Marital status and level of specialization were insignificant predictors. Thus, it was concluded that not all HEXACO traits and socio-demographics predict depression. Study findings could be utilized in the implementation of employee recruitment, job crafting, positive psychology, and coaching.
      PubDate: 2022-01-26
      DOI: 10.18034/abcjar.v11i1.602
      Issue No: Vol. 11, No. 1 (2022)
       
  • Applications of Artificial Intelligence in Quality Assurance and Assurance
           of Productivity

    • Authors: Nur Mohammad Ali Chisty, Harshini Priya Adusumalli
      Pages: 23 - 32
      Abstract: Probabilistic intelligence is vital in current management and technology. It is simpler to persuade readers when a management or engineer reports connected difficulties with objective statistical data. Statistical data support the evaluation of the true status, and cause and effect can be induced. The rationale is proven using deductive logic and statistical data verification and induction. Quality practitioners should develop statistical thinking skills and fully grasp the three quality principles: “essence of substance,” “process of business,” and “psychology.” Traditional quality data include variables, attributes, faults, internal and external failure costs, etc., obtained by data collection, data processing, statistical analysis, root cause analysis, etc. Quality practitioners used to rely on these so-called professional qualities to get a job. If quality practitioners do not keep up with the steps of times, quality data collection, organization, analysis, and monitoring will be confusing or challenging. Increasingly, precision tool machines are embedded in various IoTs, gathering machine operation data, component diagnostic and life estimation, consumables monitoring and utilization monitoring, and various data analyses. Data mining and forecasting have steadily been combined into Data Science, which is the future of quality field worth worrying about.
      PubDate: 2022-01-28
      DOI: 10.18034/abcjar.v11i1.625
      Issue No: Vol. 11, No. 1 (2022)
       
 
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