Job Search Engines Research Articles

EMT Çevirmen Yeterliklerinin Piyasada İstenen Kriterlerle Karşılaştırılması: Türkiye Örneği

This study aims to investigate translator competence desired in the Tur-kish market, and to compare them to the competences determined by the European Union in order to provide an insight regarding the employability of Turkish translators in the global market.The first section presents the notion of competence in general while the second section handles translator competence from various perspectives, with specific emphasis on competences suggested by the EU. Later on, the method for the analysis has been elaborated. Finally, the findings have been presented with graphics and then discussed. This study has been carried out utilising content analysis in order to identify the differences between the competences listed by EMT expert group (the EU) and those demanded in the market. The analysis has been performed manually since it was not possible to create codes suitable for computerised processing. The job advertisements posted on the well-known job-search engine, www.kariyer.net, between November and December 2021 were chosen as the data to be examined. The ads were retrieved via Beatifulsoup which is a Python library used for Web scraping. Then the retrieved ads were coded as per the competence criteria listed by the European Union. As a result of the research, it has been seen that the translator qualifications requested in the advertisements broadcast on the internet for the Turkish market do not meet most of the EMT competence criteria. Turkish translators may not be regarded employable in the global market in the event that they shape their career paths by based on the job ads for national market.

Commentary: Thinking of moving from academia into industry? Here are some things to consider

Commentary: Thinking of moving from academia into industry? Here are some things to consider

Test model for database architectures: an assessment for job search engine systems

Data is a fundamental part of information and management systems; thus, controlling its complexity is an essential step nowadays. NoSQL databases adopt new approaches to data management differing from relational structures. For this study, two database systems are considered, MongoDB as a NoSQL data storage model and PostgreSQL as a relational data model, they are compared and evaluated on a job search system. For this purpose, a dataset was defined, and its representation was constructed in databases based on each technology. This process allowed the data modeling in terms of the best practices, then, the development of a test plan prepared the environment for the determination of the comparison metrics of both databases under the methodology specified by the International Software Testing Qualifications Board (ISTQB) and the types of database testing. This study determined that the SQL schema provides greater functionality, that ensures the support of transactions and data integrity, the opposite happened with the NoSQL schemas, resulting in more efficient but lacking functionalities that are characteristic and required for data representation of a consistent system.

Assessing demand for doctoral-prepared PA faculty: a five-year longitudinal study

PurposeMany health profession programs have transitioned to doctoral credentials. While a master’s degree is the terminal degree for the physician assistant (PA) profession, there is increasing discussion regarding the doctoral degree as the PA terminal credential in US higher education.This study examines trends, demand and economic opportunities for doctoral prepared PA faculty; specifically, assessing to what extent PA faculty employers prefer doctoral credentials.MethodologyThis longitudinal retrospective observational study assessed commonly required/preferred academic credentials in PA faculty job postings. Data from 2014 to 2020 was obtained from the labor analytics firm Burning Glass Technologies (BGT) and other academic job search engines. Data on current PA faculty and program directors were obtained from Physician Assistant Education Association (PAEA) survey reports. Wage gap analysis was performed to gain additional insight for the supply and demand of PA educators with a doctoral degree.ResultsOf the 612 unique job ads posted from 232 PA programs between 2014 and 2020, approximately 38.9% (238) stated a preference or requirement for a doctoral degree. Nearly half of the postings for program directors and leadership positions preferred candidates with doctorates. There was a correlation between tenure eligibility positions (20.1%) and preference/requirement for doctoral credentials. PAEA survey data (2014–2019) revealed approximately 24% PA faculty and 45–48% of program directors held a doctoral degree with Doctor of Philosophy (PhD) as the most frequently held doctorate. No significant difference existed in wages for faculty with or without doctoral degree.ConclusionsBased on a national sample of PA program job ads, there is a preference for doctoral-prepared PA educators and the demand for these candidates is greater than market supply. Our analysis has implications for individual faculty career planning, employers and the PA profession as it debates transition to a terminal doctoral credential. Further studies should assess the impact of doctoral credentials on PA education by examining measurable outcomes.

A Window to Telehealth Geriatric Social Work Job Market Landscape: A Cross-Sectional Study

The purpose of this research study is to explore current Telehealth geriatric social work by describing its most recent job market characteristics. As part of a larger longitudinal research, data for this cross- sectional study was collected in January 2021. Three top job search engines, Google, ZipRecruiter, and Indeed, were used to collect data on Telehealth social work job openings. On each search engine, five searches were completed with the five key words: "social work" Telehealth jobs, LCSW Telehealth jobs, remote LCSW jobs, Telehealth "social work" jobs, and Telehealth "social worker" jobs. It analyzed 112 Telehealth geriatric social work job ads, 12.8% of total 873 ads from these fifteen searches. Results from descriptive and thematic data analysis show large, for-profit organizations are dominating the Telehealth geriatric social work field while small private practices are emerging during the pandemic. The study found Telehealth geriatric social work is providing vital continuum services to older people in communities, hospitals, and long-term care facilities at individual, family, and group levels. The results document innovative technological tools present new methods to engage, assess, and intervene, particularly with mental health needs. The Telehealth organizations are making the pitch to attract competitive professionals. While nearly 1/3 of the sampled organizations stated they intended to make Telehealth/remote positions temporary, the study concludes Telehealth has built its infrastructure and workforce to become an indispensable and ongoing part of gerontological and geriatric social work. Social work education, research, and practice must pay close attention to its implications in skill building.

Does university prepare students for employment? Alignment between graduate attributes, accreditation requirements and industry employability criteria

One of the primary goals of tertiary education is to prepare students for employment. There is debate as to whether university courses adequately provide students with 21st century workplace skills (Kaminski, Switzer, & Gloeckner, 2009; Kivunja, 2014). In a rapidly changing workforce, institutions must constantly adapt to maintain the practical utility of their courses. A thematic analysis was conducted to explore the degree of alignment between graduate attributes, accreditation requirements and industry employability criteria in nursing, psychology and education courses at an Australian University. Graduate attributes were obtained from the Course Approval and Management System. Relevant accreditation requirements were sourced from the respective bodies. A search of advertised job positions for the three discipline fields was conducted from a popular job-search engine (SEEK) to ascertain employability criteria. This analysis identified clear alignment between the university’s graduate attributes and the standards articulated by accreditation bodies for psychology, nursing and education. However, there were differences between graduate attributes and the employability criteria identified by job searches across the three disciplines. Analysis of the employability criteria suggest that employers seek and prioritise graduates who possess practical competencies and 21st century skills such as problem solving and communication. However, there was little to no mention of cultural understandings and attitudes towards inclusion and diversity, both a core graduate attribute and an aspect of professional accreditation. The findings of this study may inform the development of future graduate attributes that better reflect preparedness for the workforce. Alternatively, a reflection on graduate attributes and professional accreditation criteria might produce job advertisements that better reflect work contexts in an increasingly diverse society.

State behavior analysis in validating the web service framework

Web service (WS) interactions correspond to states, and they can be modeled based on the type of interactions between the service consumer and the provider. Models like UML, OWL have been designed in the past but not all of them focus on state-based interaction among the requester and the provider. In this paper, we develop a framework that understands interactions between the requester and provider and learns behaviors using FSA. We first propose a model called the state machine representation model for analyzing the behavior of WSs and also supports for modeling the job fair service for identifying the appropriate services for the consumer. Next, we propose an implementation work which gives us the run time behavior of the Job Search Engine (JSE) in network and cloud environment. Finally, we conclude this paper by interpreting and analyzing the performance of the JSE with respect to the standard parameters such as access time for invoked state, discovered state, running state, halt state, disconnected state and show that the model framework designed and developed in this paper works for the JSE. In future the framework can be extended for other applications at the generic set of states analyzed in this paper.

User click prediction for personalized job recommendation

Major job search engines aggregate tens of millions of job postings online to enable job seekers to find valuable employment opportunities. Predicting the probability that a given user clicks on jobs is crucial to job search engines as the prediction can be used to provide personalized job recommendations for job seekers. This paper presents a real-world job recommender system in which job seekers subscribe to email alert to receive new job postings that match their specific interests. The architecture of the system is introduced with the focus on the recommendation and ranking component. Based on observations of click behaviors of a large number of users in a major job search engine, we develop a set of features that reflect the click behavior of individual job seekers. Furthermore, we observe that patterns of missing features may indicate various types of job seekers. We propose a probabilistic model to cluster users based on missing features and learn the corresponding prediction models for individual clusters. The parameters in this clustering-prediction process are jointly estimated by EM algorithm. We conduct experiments on a real-world testbed by comparing various models and features. The results demonstrate the effectiveness of our proposed personalized approach to user click prediction.

Web Scraping and Naïve Bayes Classification for Job Search Engine

Many organisations (government of non-government) use websites to share information of new recruitment for the workers. This information overflows on thousands of sites with various attributes and criteria. However, this availability forms a complex puzzle in the selection process and lead to inefficient runtime. This study proposes a simple method for job searching simplification through a construction and collaboration of web scraping technique and classification using Naïve Bayes on search engine. This study is resulting an effective and efficient application for users to seek a potential job that fit in with their interests.

Current and Future Trends in Human Resources Analytics Adoption

While many organizations use business intelligence and analytics in business functions including Supply Chain, Finance, Accounting and Marketing, they have taken little advantage of this in the Human Resources (HR) management area. Seeing tremendous opportunities in the use of analytics, businesses are taking big measures, such as creating a culture of making critical decisions validated by data driven approaches and hiring analytics professionals in areas that promises high rates of return. Experts continue to emphasize the importance of analytics for HR to transform itself into a more effective resource for the organization. In this paper the authors study the current and the near future states of analytics in Human Resources area. With information collected from leading job search engines, SimplyHired.com and Indeed.com, the authors have modeled trends in hiring analytics professionals in different functional areas of business. The authors compared the HR analytics trend with trends in hiring analytics professionals in Supply Chain, Finance, Accounting and Marketing functions. The extent to which companies are hiring analytics professionals now should be a good indication of analytics adoptions in the future.

Mining for Computing Jobs

A Web content mining approach identified 20 job categories and the associated skills needs prevalent in the computing professions. Using a Web content data mining application, we extracted almost a quarter million unique IT job descriptions from various job search engines and distilled each to its required skill sets. We statistically examined these, revealing 20 clusters of similar skill sets that map to specific job definitions. The results allow software engineering professionals to tune their skills portfolio to match those in demand from real computing jobs across the US to attain more lucrative salaries and more mobility in a chaotic environment.

Biology for the Utilitarian

Students enjoy learning about everyday applications of life science. I highlight these on the first day of Cell Biology 302 using the job search engine, Monster.com. By scrolling through the results of a “Cell Biologist” key-word search, students learn how cell biologists apply fundamental biological concepts to their careers. “Introduction to Biotechnology” begins the same way. Tucked behind the front cover is a colorful, pin-up poster that showcases numerous career opportunities for biotechnologists and includes the educational pre-requisites and salary ranges of each. The book itself also helps answer “what you can do with your biotechnology skills.” From a manufacturing technician holding a bachelor's degree in biology, to a bioethicist with a doctorate in philosophy, “Introduction to Biotechnology” is an excellent resource for anyone considering a career in this broad field.

Finding Health Education Jobs on the Internet

The Internet has introduced a variety of new sources for job information. In addition to traditional methods, such as using campus career services offices and professional association job banks, there are many new resources available online, including (1) health education job web sites, (2) organizational and governmental job web sites, (3) job search engines, (4) online newspaper classified listings, (5) professional electronic mailing lists, (6) USENET newsgroups, and (7) bulletin board services. Each of these methods is discussed with some advice for finding the ideal health education job.

Developing Online Professional Resources in Nutrition Sciences: The Prins Web Site

The Internet and World Wide Web have created enormous opportunities for nutrition professionals to develop resources useful to professionals and students. The Web Site Development Model (WSDM) was used to develop Professional Resources in Nutrition Sciences (PRINS), a web-based resource. PRINS provides online access to resources such as job web sites and search engines, nutrition related organizations; professional associations; professional preparation programs; mailing list and bulletin board services; credentialing agencies; and other resources such as online publications and the latest news of interest to nutrition professionals and students. PRINS is global in nature and not limited to USA resources.The WSDM, a process model characterizing how web sites are developed, was used to guide PRINS development stages of: Assessment, Planning, Implementation, and Evaluation. During the Assessment Stage a needs assessment was conducted to establish a need for the PRINS web site. The goals, objectives, and target populations were also defined. The Planning Stage involved extensive web searching for resources and web site structuring and design. Implementation and evaluation plans were also completed during this stage. During the Implementation Stage, PRINS was placed online, and a promotion plan was initiated. The Evaluation Stage is ongoing and is currently under review.

Using the Professional Resources in Nutrition Sciences (PRINS) Web Site

The web site, Professional Resources in Nutrition Sciences (PRINS), was developed in the fall of 1998 to provide access to Internet/World Wide Web resources useful to dietetic and nutrition professionals and students. PRINS is a professional rather than consumer-oriented resource, with nearly 2,000 links to information pertaining to the profession. The nutrition-related web sites include: national and state credentialing agencies; job web sites and search engines; mailing list and bulletin board services; nutrition-related organizations on a global scale; professional associations; and professional preparation programs. Other resources include online publications, instructional materials, and software.Key features of PRINS will be showcased, with instructions on how to use the web site effectively for research, networking, career development, and job searching. Also, instructions on how to use PRINS in professional preparation programs to introduce students to the nutrition profession and upon graduation find dietetic internships and jobs. (http://academic.brooklyn.cuny.edu/hns/prins)