Related Jobs Research Articles

Company, Job, and Perceived Advantage Influence on Job Hunting: Evaluating Glassdoor Job Hunting platform

The current research aims to investigate how features for Job Application Portals (JAP) such as company information, job information, and relative advantage affect job hunting. A cross-sectional field survey of 480 new graduates with IT and applied scientific degrees was conducted in the intended research environment for comparative purposes, which included tech businesses in the EU, US, and Asia samples of job application portal users. Using the Smart PLS software 3.0, partial least square structural equation modeling (PLS-SEM) results revealed that company information, job information, and relative advantage all have a favorable significant impact on job hunting. This research is novel to propose and test a unique theoretical framework in a unique data context to bring key policy directions as well as theoretical and practical ramifications in the field.

Resiliency and meaningfulness in work: a job crafting perspective

PurposeThe purpose of this paper is to study the role of task, relational and cognitive job crafting on the relationship between resiliency and meaningfulness in work.Design/methodology/approachThis study used path analysis under the framework of structural equation modeling to test the hypotheses using a sample of 374 law enforcement employees.FindingsResults from the analysis revealed a direct effect of resiliency on meaningfulness. This study also found that relational and cognitive crafting partially mediate these relationships.Practical implicationsUnderstanding the proactive strategies resilient employees can use to build meaning in work will help managers develop better training programs. The findings emphasize the importance of building social relations and positive reframing of work as a mechanism to bounce back from adverse circumstances.Originality/valueThis paper provides empirical evidence of the proactive actions resilient employees implement to build meaningfulness in work.

Multi-objective optimisation of sewer maintenance scheduling

Abstract Effective functioning of sewer systems is critical for the everyday life of people in the urban environment. This is achieved, among other things, by the means of regular, planned maintenance of these systems. A large water utility would normally have several maintenance teams (or crews) at their disposal who can perform related jobs at different locations in the company area and with different levels of priority. This paper presents a new methodology for the optimisation of related maintenance schedules resulting in clear prioritisation of the ordering of maintenance tasks for crews. The scheduling problem is formulated as a multi-objective optimisation problem with the following three objectives, namely the minimisation of the total maintenance cost, the minimisation of travel times of maintenance teams and the maximisation of the job's priority score, all over a pre-defined scheduling horizon. The optimisation problem is solved using the Nondominated Sorting Genetic Algorithm-II (NSGA-II) optimisation method. The results obtained from a real-life UK case study demonstrate that the new methodology can determine optimal, low-cost maintenance schedules in a computationally efficient manner when compared to the corresponding existing company schedules. Daily productivity of maintenance teams in terms of number of jobs completed improved by 26% when the methodology was applied to scheduling in the case study. Given this, the method has the potential to be applied within water utilities and the water utility Welsh Water (Dŵr Cymru Welsh Water (DCWW)) is currently implementing it into their systems.

The COVID-19 effects on automation, remote working and labor productivity in Nigeria

The COVID-19 pandemic, as well as the threat of future pandemics, has shifted the focus of automation technology, forcing many firms to migrate to remote working in order to boost productivity. The goal of this study is to investigate the COVID-19 effect on automation-related jobs, remote work, and labor productivity in Nigeria. The data collected for this research paper was cumulative monthly data from March 2020 to April 2021 via world health organization website for Nigeria confirmed cases of COVID-19 while other data are automation related jobs, remote working and labor productivity in Nigeria. This study uses empirical analysis such as the Johansen co-integration test to assess whether the series are co-integrated, implying the usage of a vector error correction model (VECM) and indicating that the variables have a long-term relationship. A causality test was also carried out, which revealed that COVID-19 had a considerable impact on automation, remote work, and labor productivity in Nigeria. In the meantime, COVID-19, automation-related professions, remote working, and labor productivity are all linked in the short and long run, according to the Johansen cointegration, vector auto regression (VAR), and vector error correction models (VECM). Granger causality demonstrates that COVID-19 occurrences in Nigeria have a causal effect on the risk of automation-related professions, distant work, and labor productivity, demonstrating the study's value.

Issues on Legislative Education and Suggestions for Its Improvement

본 연구는 입법교육의 지형(체계)과 입법교육의 대안(발전방안)을 모색하는 것을 목적으로 한다. 먼저 입법교육의 체계는 ｢법교육지원법｣에서 규정한 법교육의 체계에 따라 학교 법교육, 사회 법교육으로 크게 나눌 수 있다. 여기에서는 학교 법교육의 경우에도 초·중등교육과 고등교육으로 구분하고, 사회 법교육의 경우에는 입법 관련 종사자 교육에 중점을 두어 현재 입법교육의 지형을 살펴보고자 하였다. 학교 입법교육의 경우 초·중등학교 교육과정에서는 독립된 입법교육이 이루어지고 있지 아니하고, 고등교육과정인 대학에서는 입법학 교과목이 소수의 대학에서 운영하고 있으며, 비교과과정으로 입법교육이 이루어지고 있다. 우리나라의 입법교육이 비교적 가장 활발하게 이루어지는 것은 국회나 법제처에서 관련 직역 종사자를 대상으로 하는 입법교육으로 보인다. 입법교육의 대안으로 초등학교의 경우 학급운영과정과 연계하여 입법교육을 실시하는 것을 들 수 있다. 고등교육기관인 대학의 경우에는 먼저 입법학 나노학위과정을 통해 입법에 관심이 있는 타 전공학생들이 학위를 취득할 수 있도록 하는 방법, 캡스톤디자인 교과목으로 입법교과목을 설계하여 지역사회 기관이나 기업 등의 문제에 대한 학생들의 입법 문제해결 능력을 키우는 방법이 있다. 법학전문대학원의 경우에는 입법전문가 양성을 위한 입법클리닉 수업 운영을 고려할 수 있다. 마지막으로 직역교육에 있어서 지방자치법 전부개정에 따라 신설되는 정책지원전문인력에 대한 입법교육에 대한 관심도 기울여야 할 것이다.The purpose of this study is to explore the topography(system) of legislative education and alternatives(improvement) of legislative education. The system of legislative education can be largely divided into school legal education and social legal education according to the Legal Education Support Act. In this study, school law education was divided into elementary and secondary education and higher education, and social law education focused on the education of legislative workers and examined the current status of legislative education. In the case of school legislative education, independent legislative education is not provided in the elementary and secondary school curriculum. A small number of universities operate legislative studies, and legislative education is also provided through non-subject education. Legislative education of the National Assembly and the Ministry of Legislation for related job workers is well carried out. The plan to develop legislative education in elementary schools is to provide legislative education in connection with the class operation process. The plan to develop legislative education in elementary schools is to provide legislative education in connection with the class operation process. In the case of universities, there are the following improvement measures. First of all, there is a way to grant degrees to students in administration, policy, and politics as well as students interested in legislation through the legislative nano-degree course. Second, there is a way to develop students ability to solve legislative problems for problems such as community institutions and companies by designing legislative subjects as capstone design subjects. In the case of a law school, the operation of a legislative clinic class to foster legislative experts may be considered. Finally, attention should also be paid to local autonomy legislative education for policy support professionals.

A Phenomenological Study on the COVID-19 related Job Experiences of Middle and High School Nurses

목적 본 연구에서는 중⋅고등학교 보건교사를 대상으로 COVID-19 관련 직무 경험을 탐구하고 그 본질과 의미를 발견하고자 한다. 방법 본 연구는 개별 심층면담을 통한 현상학적 연구로 Colaizzi가 제시한 분석방법을 사용하였다. 자료는 2021년 11월부터 12월까지 중⋅고등학교 보건교사 10명을 대상으로 수집하였다. 결과 연구참여자들은 모두 여성이었고, 평균 연령은 45.50±9.06세였다. 보건교사의 직무 경험은 3개의 주제와 9개의 하위주제로 구성되었다. 첫 번째 주제는 혼란스러움으로 시작된 힘겨운 싸움이었고, 이에 대한 하위주제로는 업무의 폭증, 변화가 너무 심해 따라가지 못함, 학생과 학부모의 비협조, 몸과 마음이 함께 지쳐감이 도출되었다. 두 번째 주제는 변화의 과정이었으며, 이에 대한 하위주제는 달라진 기존의 보건업무, 비대면으로 인한 변화들, 혼자가 아니라 함께하기 모색으로 나타났다. 세 번째 주제는 새로운 역할과 관계에 익숙해짐이었고, 이에 대한 하위주제는 점점 체계화되는 업무와 주변과 나 자신의 변화가 보고되었다. 결론 본 연구결과는 COVID-19 전염병 위기에서 보건교사의 직무 경험에 대한 이해를 제공한다. 또한 이는 학교 보건정책 개선과 보건교사의 보건업무 수행 지원을 위한 정책 마련의 중요성을 나타낸다.

Sustainability & Comparative Impact Analysis of Coral Reef Bleaching in Indian Context

An estimated value of 500 million of the population are directly benefited through coral reefs related jobs, food and defence of coastal areas. Coral reefs help to reduce wave energy by 97%. They help to protect the coastal areas from storms, floods and wave energy by 97%. Natural disasters such as Tsunami and erosion of coastal areas are protected by reefs. In this process, they help to protect the lives of many staying in the coastal areas including animals, properties, and other natural resources. There are reasons for reef deterioration like change of climate, high pollution, destructive fishing, bleaching of coral reefs is a big concern now worldwide. Severe coral bleaching is also reported in India. A significant rise in the surface temperature of Sea has become a critical reason for coral bleaching. This work attempts to Study the link between sustainability , SDG goals of 2030 given by United Nations and coral bleaching. In this work study period is focused from 1985 to 2021 in the Indian coral reef bleaching areas.

COVID-19 job and income loss and mental health: the mediating roles of financial assets and well-being and the moderating role of race/ethnicity

ABSTRACT Prior research shows unemployment has a negative effect on mental health, yet whether this relationship is affected by financial factors is unknown. For example, having money in savings may mitigate the impact of job loss on mental health. We use structural equation modeling with data from the Socio-Economic Impacts of COVID-19 Survey with a nationally representative sample (N = 3,341) to examine COVID-19 related job loss and mental health as partially mediated by liquid assets and Financial Well-Being (FWB) and moderated by race and ethnicity as moderators. More than a quarter (28.34%) of participants said they experienced a job or income loss due to COVID-19, which was associated with greater psychological distress as measured by the PHQ-4. The structural model had excellent fit (RMSEA = 0.021); FWB partially mediated the relationship between job/income loss and mental health (p < .001), accounting for 49% of the total effect. However, liquid financial assets did not partially mediate this relationship. Black participants experienced very different direct and indirect effects. Social workers should assess and intervene concerning financial factors when individuals experience job loss. Job loss is different among Black individuals who face greater challenges related to structural racism yet also have greater resilience.

The COVID-19 pandemic - related psychological distress and job burnout among Serbian pharmacy practitioners: a cross-sectional online study.

The current COVID-19 pandemic has increased occupational stress for all healthcare providers, making job burnout one of the most common and largely unrecognized mental health issues among healthcare professionals. Besides physicians and nurses, pharmacy practitioners were "front-line" healthcare professionals with a critical and unique role in the public health crisis. Considering this, the aim of this study was to examine distress levels and the prevalence of job burnout among Serbian pharmacy practitioners in relation to the COVID-19 pandemic. This cross-sectional online study was conducted in April and May of 2020. A total of 176 pharmacy practitioners anonymously and voluntarily completed the two-section questionnaire, consisting of Copenhagen burnout inventory, CBI and 4DSQ Distress subscale. The two-section questionnaire was distributed online, among various social-media groups of pharmacy practitioners, as well as by personal contacts following the "snowball" sampling method. Results revealed moderately high burnout scores in our sample. The majority of the participants showed signs of personal-related job burnout, followed by work-related and client-related burnout. A strongly elevated distress level was obtained in almost two-thirds of study respondents. In addition, a significant and high correlation of all CBI subscales with distress was found, as well as medium correlations with sleep duration shortening as a mediator between distress and job burnout. Results of our study showed that job burnout significantly increased among pharmacy practitioners during the COVID-19 pandemic. Furthermore, we discovered that stress has an indirect impact on study participants' burnout via insufficient sleep.

Relationship between Workplace Related Violence and Job Satisfaction among Nurses Staff

Background: Violence in the workplace is a global public health problem and has caused a serious threat to the physical and mental health of health care workers. Furthermore, workplace violence also has a negative impact on the behavior of health care workers in the workplace. Aims: The purpose of study is to investigate the relationship between workplace related violence and job satisfaction among nurses’ staff. Methods: A descriptive correlational study conducted in Nasiriya Province/ Iraq, by simple random sample of 209 nurses is selected through the use a probability sampling approach. The reliability of the questionnaire was achieved through a pilot study and then presented to experts to prove its validity. The total number of items included in the questionnaire was 30-items for work related violence and 17-tiems for job satisfaction. The data was collected by using the self-report method and analyzed by the application of descriptive and inferential statistical data analysis approach. Results: The results of the study indicated that (50.2%) of the nurses exhibited a moderate workplace related violence and (69.4%) moderate job satisfaction. There were negative significant correlation between workplace related violence and job satisfaction (r= -0.401; p=0.001). Conclusion: Job satisfaction among nurses was found to be inversely connected with workplace violence "high work-related violence reduced job satisfaction". Workplace policies and procedures that focus on environmental security reporting and monitoring, as well as instructional seminars for nurses, are reducing violence and increasing job satisfaction. Keywords: Workplace, Violence, Job Satisfaction, Nurses.

Knowledge Gaps in Curricular Guidance for ICS Security

Industrial Control Systems are an essential mechanism to manage complex computer systems necessary for modern life. These include everything from water treatment and transportation to energy systems and manufacturing. These systems are becoming increasingly integrated and more complex, and they are being used to manage even more of the elements that make our everyday lives possible. They are therefore becoming both more attractive to cyber criminals and more vulnerable to cyber-attacks. More attention needs to be paid to increasing resources and capability in industrial cybersecurity (ICSS). A major element of this is to significantly improve both the quality and availability of education in this area. The process of development of these educational initiatives is aided by curriculum guidance documents. Of necessity ICSS has largely evolved in industrial settings. This exploratory study examines the curricular guidance available for ICSS research and compares it to industry requirements to identify gaps in curricular guidance. Specifically, this paper looks at the three leading guiding documents, the NICE Cybersecurity Workforce Framework, the Joint Task Force on Cybersecurity Education curriculum guidance, and the NSA CAE knowledge units. These are then compared to requirements identified from ICSS related job postings. We found that the primary cybersecurity curriculum guidance documents do not sufficiently address industry requirements for ICSS.

Perceived job stress and COVID- 19 pandemic related stress predictors among Nurses working in Saudi Arabia

Objective: As the coronavirus disease 2019 (COVID-19) pandemic hastens the global health care systems which take the lead to great psychological stress on health care professionals especially nurses with COVID-19 illness patient care. This study focused on perceived job stress and covid-19 pandemic related job stress predictors among nurses working in ministry of health hospitals and health centers in Muhayil Aseer town, Saudi Arabia during the first wave of COVID-19 pandemic.Methods: An analytical cross-sectional study addressed to examine the prevalent perceived job stress and covid-19 related perceived job stress predictors among nurses. A web-based google form english questionnaire was designed in sections aimed at collecting socio demographic and job variables, including the Perceived Stress Scale (PSS) and the Covid-19 pandemic related job stress predictors questionnaire. The data were collected using convenient sampling technique.Results: 164 nurses have participated in this study among them, the overall nurses 97.57 % had experienced job stress during peak time of Corona virus spread and of them more than half (59.76 %) of the (98) nurses had moderate level of job stress and the mean PSS score 21.8 that represents moderate stress level. In multivariate regression analysis model, the perceived safety risk (LR= 95.53, χ² (6) = 27.91, P=.000), perceived worry (LR= 97.23, χ²(6) = 29.60, P=.000) and perceived work difficulty (LR= 100.92, χ²(6) = 33.29, P=.000) were found as significant predictors of perceived job stress during Covid-19 pandemic. Conclusion: This study revealed that job stress is a common prevailing problem among nurses and the COVID-19 pandemic related job stress predictors were perceived safety risk and perceived worry about health while covid-19 exposure and perceived work difficulty as overworked during pandemic. Although efforts were enhanced to support their psychological well-being, more attention should be paid to the mental health of nursing staffs. The study recommends that strong strategy improvements need to be held in the health care institutions to reduce nurses' stress and enable them to combat the ongoing and future occurrences of pandemic effectively.

An AI-based open recommender system for personalized labor market driven education

Attaining those skills that match labor market demand is getting increasingly complicated, not in the last place in engineering education, as prerequisite knowledge, skills, and abilities are evolving dynamically through an uncontrollable and seemingly unpredictable process. Anticipating and addressing such dynamism is a fundamental challenge to twenty-first century education. The burgeoning availability of data, not only on the demand side but also on the supply side (in the form of open educational resources) coupled with smart technologies, may provide a fertile ground for addressing this challenge. In this paper, we propose a novel, Artificial Intelligence (AI) driven approach to the development of an open, personalized, and labor market oriented learning recommender system, called eDoer. We discuss the complete system development cycle starting with a systematic user requirements gathering, and followed by system design, implementation, and validation. Our recommender prototype (1) derives the skill requirements for particular occupations through an analysis of online job vacancy announcements; (2) decomposes skills into learning topics; (3) collects a variety of open online educational resources that address those topics; (4) checks the quality of those resources and topic relevance with three intelligent prediction models; (5) helps learners to set their learning goals towards their desired job-related skills; (6) recommends personalized learning pathways and learning content based on individual learning goals; and (7) provides assessment services for learners to monitor their progress towards their desired learning objectives. Accordingly, we created a learning dashboard focusing on three Data Science related jobs and conducted an initial validation of eDoer through a randomized experiment. Controlling for the effects of prior knowledge as assessed by means of a pretest, the randomized experiment provided tentative support for the hypothesis that learners who engaged with personal recommendations provided by eDoer to acquire knowledge of basic statistics, attained higher scores on the posttest than those who did not. The hypothesis that learners who received personalized content in terms of format, length, level of detail, and content type, would achieve higher scores than those receiving non-personalized content was not supported.

The Double-Edged Sword Effect of Relational Crafting on Job Well-Being.

Is relational crafting always beneficial? Despite the increasing research on the positive outcomes of relational crafting, some evidence still indicates its dysfunctional consequences. The current study proposed a double-edged sword effect of relational crafting on job well-being, including work dynamics and emotional exhaustion, with an integrative perspective from the resource loss and resource acquisition perspectives based on the job demands-resources model and the conservation of resources theory. By conducting a two-stage questionnaire survey on 323 employees, the results demonstrate that: (1) On the one hand, relational crafting induces emotional exhaustion through increased work load; (2) On the other hand, relational crafting also displays positive effect on increasing work dynamics and decreasing emotional exhaustion by fostering supervisor-subordinate guanxi. By analyzing the double-edged sword effect of subordinates’ relational crafting on job well-being from the two processes of resource loss and resource acquisition effects, a more complete influencing mechanism between relational crafting and job well-being is constructed, which improves the understanding of relational crafting, enriches the literature on proactive behavior and provides a more integrated theoretical basis for researchers and managers.

A systematic review of the relationships between nurse leaders' leadership styles and nurses' work-related well-being.

This systematic review aimed to summarize current research knowledge about the relationships between nurse leaders' leadership styles and nurses' work-related well-being. Due to the global shortage of nurses, it is essential for nurse leaders to maximize staff retention and work-related well-being. Following Cochrane Collaboration procedures, the PRISMA statement and PRISMA checklist, relevant quantitative studies published between 1 January 2012 and 31 December 2020 were retrieved from the CINAHL, Scopus, PubMed and Medic databases and then systematically reviewed. Seventeen cross-sectional and follow-up studies with surveys were retained for inclusion and evaluated with the Critical Appraisal of a Survey instrument. The data were summarized narratively. Three core themes of leadership styles: destructive, supportive and relationally focused, were identified, with statistically significant direct and indirect connections between nurses' work-related well-being. Well-being was mainly assessed in terms of burnout. Effects of leadership styles on work-related well-being were reportedly mediated by trust in leader, trust in organization, empowerment, work-life conflict, relational social capital, emotional exhaustion, affectivity, job satisfaction and motivation. Nurse leaders' leadership styles affect nurses' work-related well-being. In developing intervention studies and providing training on work-related well-being, the impact of the indirect effects and the mediating factors of the leadership styles should be acknowledged.

College Management System using Salesforce

College Management system is Salesforce CRM based application which is the new technical way to manage all department related jobs. Collage management system is helpful for students as well as the colleges. In the existing system all the activities are done manually. It is very costly and time consuming. In our proposed system, students can view results using phones. The data will be stored in the Salesforce. The Admin, Faculty or the student should be a register user. The faculty can login into their college account through the application itself and update the academic result like internal exam marks obtained by the students. In this system students have easy access for viewing the marks; the application will check user authentications. Students are not permitted to manipulate any data. The proposed work has two modules: A. Student B. Teacher C. Admin. In the student’s module, students need to register their university registration number, college registration number, student name. Admin module maintains the student’s marks of internal college exams. Other than this the advanced features are: In case of natural calamities such as floods, etc. notification to students will be sent from admin office through application directly. Any new notice for a particular semester will be uploaded by professor through application notifying to respective semester students. The students can download different subject notes according to their departments. The faculty of particular department is responsible for updating the assignments, updating the attendance of every student, updating the notification related to department.

Secondary Traumatisation and Emotional Exhaustion in Mental Healthcare Providers: The Mediating Role of Social Support

Background: Burnout, especially emotional exhaustion, is common among mental healthcare providers (MHP). It is caused by exposure to prolonged stress related job conditions, such as secondary traumatisation. Social support is a protective factor for developing emotional exhaustion. In addition, higher levels of social support are associated with lower levels of secondary traumatisation. However, it is unclear how social support and secondary traumatisation are related. Social support may be a protective factor for developing secondary traumatisation, as it is for emotional exhaustion. On the other hand, MHP who suffer more from secondary traumatisation might experience less social support, for example because they fear stigmatisation. This study examined whether social support mediates the relationship between secondary traumatisation and emotional exhaustion. Further, it is explored whether the relation between secondary traumatisation and social support is moderated by profession (physicians, psychologists and case managers). Method: In total, 593 MHP participated in this cross-sectional study. Participants completed a questionnaire including demographic characteristics, secondary traumatisation, emotional exhaustion, and social support. Results: It was shown that no MHP experience high levels of secondary traumatisation and relatively few experience high levels of emotional exhaustion, while they do experience much social support. Furthermore, as hypothesized, it was found that the relationship between secondary traumatisation and emotional exhaustion is partially mediated by social support. Finally, no moderation effect of profession was found. Conclusion: These results imply that MHP have access to social support and make use of it, preventing emotional exhaustion. Mental healthcare organisations should maintain these resources for social support to prevent emotional exhaustion. MHP who are less inclined to seek social support should receive extra attention, as should MHP who are more at risk of secondary traumatisation. Even though MHP experience the availability of social support, still 25% of the MHP do experience emotional exhaustion. Future research should examine which factors for this group contribute to the development of emotional exhaustion so that appropriate measures can be taken.

STE(A)M: Not only education but also a lifestyle

If science can define meanings and measure results, art can express them and give a step forward to refreshment and innovation. The artist-scientist archetype started from Archimedes going to Nikolai Tesla, in about the inventor, the seeker, the dreamer, and the thinker, both as new scientist and artist. A growing number of schools are incorporating teaching methods that are more aligned to STEAM education (Science, Technology, Engineering, Arts and Mathematics) since it has become, almost very clear and concrete, that art’s education makes learning more fun and keeps everyone involved even more engaged. As exploring new possibilities, to lead innovation in the classroom and promote leadership at all levels, encourage teachers and principals, make the school and the whole system a dynamic one. The core value is that the need for STEAM education is critical, especially because there will be related jobs ready to be filled as soon as possible. This job is about to show, when and how can a STEAM educational concept can be delivered in a system that seems to have been destroyed from its old mistakes and can give a real boost to a new oriented public school, in the best possible integrated educational system for preparing students for the university and beyond. Primary inquiry, dialogue, and critical thinking seem to lead the way for a better life in the school environment and real-life society.

Transfer Learning for Feature Dimensionality Reduction

Transfer learning is a machine learning methodology by which a model developed for achieving a task is exploited for another related job. Many pre-trained image classification models trained on ImageNet are used for transfer learning. These pre-trained networks could also be used for classifying out of domain images by retraining them. This paper, along with the existing application for these pre-trained models, is also being exploited for feature dimensionality reduction. Many dimensionality reduction methods are available; the pre-trained image models will help us perform both image feature extraction and dimensionality reduction in a single go using the same network. The fine-tuning of the fully connected layers of the pre-trained network is done to extract the image features; along with this fine-tuning, some more tweaking is done on the fully connected layers of these models to reduce the image feature dimensionality. Here, VGG-16 and VGG-19 are the pre-trained models considered for feature vector generation and dimensionality reduction. An analysis of the efficiency of features generated by these pre-trained networks in classifying the out-of-domain images is done. Three different variants of VGG-16 and VGG-19 are analysed. All the three variants developed gave an AUC value above 0.8, which is considered good.

Organizational Commitment, Organizational Citizenship Behavior and Turnover Intention: The Moderating Role of Leadership Behavior

Organizational Commitment, Organizational Citizenship Behavior and Turnover Intention: The Moderating Role of Leadership Behavior