OPPORTUNITIES OF JOB SEARCH THROUGH SOCIAL MEDIA PLATFORMS AND ITS DEVELOPMENT IN LITHUANIA

3.81 billion or 49.03 percent of people around the world in 2020 have been using social media platforms. On average, everyone has 8.6 accounts on social media platforms. In today’s world, social media platforms control a large part of life, one of which is job search. Job searches through social media platforms are already completing the elimination of older traditional job search methods, and the social network LinkedIn, which has become an interactive resume, is slowly outpacing resumes and cover letters in terms of the ability to share recommendations and various expertise. Employers are increasingly posting open job positions on social media platforms, making job postings simple and easily accessible to all users of social media platforms. The main goal of the presented paper is to introduce the recommendations for developing the process of job search through social media platforms using quantitative analysis. This article highlights the concept and peculiarities of social media platforms, advantaged and disadvantages of job search through SMP. The factors influencing job search through social media platforms were presented and analyzed according to the survey, steps for the further development were presented as well. Recommendation to improve the process of job search were provided after theoretical, methodological and empirical part. The results of the research will help to define the main advantages and disadvantages of job search through SMP from general population of Lithuania, also main concerns regarding its usage were determined. It is faster and easier to find the job through SMP, although do not like that it is necessary to keep an eye on their profile page in the social media, so privacy concern was defined as the biggest disadvantage. The article used the following methods: scientific literature review, quantative analysis (survey).

Search Engine Gender Bias

This article discusses possible search engine page rank biases as a consequence of search engine profile information. After describing search engine biases, their causes, and their ethical implications, we present data about the Google search engine (GSE) and DuckDuckGo (DDG) for which only the first uses profile data for the production of page ranks. We analyze 408 search engine screen prints of 102 volunteers (53 male and 49 female) on queries for job search and political participation. For job searches via GSE, we find a bias toward stereotypically “female” jobs for women but also for men, although the bias is significantly stronger for women. For political participation, the bias of GSE is toward more powerful positions. Contrary to our hypothesis, this bias is even stronger for women than for men. Our analysis of DDG does not give statistically significant page rank differences for male and female users. We, therefore, conclude that GSE’s personal profiling is not reinforcing a gender stereotype. Although no gender differences in page ranks was found for DDG, DDG usage in general gave a bias toward “male-dominant” vacancies for both men and women. We, therefore, believe that search engine page ranks are not biased by profile ranking algorithms, but that page rank biases may be caused by many other factors in the search engine’s value chain. We propose ten search engine bias factors with virtue ethical implications for further research.

Matching and Mismatching of Green Jobs: A Big Data Analysis of Job Recruiting and Searching

Creating green jobs tackles two crises: the economic downturn and environmental degradation. Responding to the economic downturn, some governments have declared a “green new deal” to remedy unemployment and the economic crisis. Job creation has been suggested as a driving force for sustainable economic development and climate change action. However, the question of how many and what types of green jobs are required has not been systematically examined. Are green job openings and searches matching each other in terms of timing, sectors, regions, and salary? This study aims to explore the degree of matching between green job supply and demand using a big data analysis (BDA) of online job market recruiting services in South Korea from 2009 to 2020. The BDA of the Ecojob website reveals that green jobs are concentrated in Seoul and Gyeounggi-do metropolitan areas. The number of water- and air-quality-related jobs is high within these sectors. Job searches in the water quality sector outnumbered job openings. The findings imply that green job creation policy should reflect timing, regional, and sectoral demand and supply data. Creating and matching green jobs is expected to reduce environmental harm, enhance environmental quality, and reduce unemployment.

Blurring the Boundaries: Reflections From Early Career Faculty During the COVID-19 Era

The last three issues of Intellectual and Developmental Disabilities (IDD) have featured perspectives from a diverse set of contributors on how the field of intellectual and developmental disabilities (IDD) is being impacted by COVID-19. As four newly appointed faculty members with diverse backgrounds, the editor of IDD invited us to share our experiences with beginning academic careers during this unique time. In making this request, he pointed out that approximately half the members of the American Association on Intellectual and Developmental Disabilities (AAIDD) are those who have some type of affiliation with an institution of higher education. While the perspectives outlined in this article do not represent those of all early career faculty, we hope our stories resonate with IDD readers who may be facing similar circumstances. This article includes a series of brief essays addressing how the pandemic has affected our academic job searches, research, teaching, and service. Although penned by different authors, each section encompasses our collective experiences, concerns, and hopes for the broader IDD community. We close with guiding questions that might support more socially responsive and integrated approaches to traditional academic roles as faculty continue to navigate the repercussions of COVID-19.

The transnational job exchange project: a French-German TEP

The technical institutions Institut Mines Télécom in Albi, France (IMT) and Trier University for Applied Sciences at the Environmental Campus of Birkenfeld, Germany (UCB) have been running Virtual Exchange (VE) projects since 2013. These projects allow the French and German students to use the vocabulary learned in class in a real context and to develop their interaction competencies. This case study reports on the latest project about job searches, in which teams with a German and a French partner were formed and different activities were created to gain insights into the job application procedure.

Job search strategies of recent university graduates: prevalence and effectiveness

PurposeThe purpose of the paper is to analyse the prevalence and effectiveness of methods and strategies for job searches amongst recent graduates of Russian universities.Design/methodology/approachThe empirical analysis is carried out on data from the Russian Graduate Survey 2016, which is representative of individuals graduating during 2010–2015. The sample included 12,370 individuals. The empirical approach combined standard descriptive statistics, factor and regression analysis (multiple logit regression).FindingsResults show that the most common strategies are a combined strategy that involves the use of formal and informal methods, as well as “pure” informal strategies – applying to relatives and friends or contacting employers. The most effective strategies are job searches with the help of relatives and friends, by contacting employers and with the help of educational organisations. The choice of job search strategy is determined by the expected return in terms of the likelihood of finding a job.Practical implicationsThe paper increases understanding of graduate job search behaviour. The results can be used by multiple stakeholders in higher education to better prepare students for job seeking.Originality/valueThis research, based on a large field survey of recent university graduates, provides the first estimates of use of job search strategies and their effectiveness for Russian university graduates.

Recruiting passionate job seekers for better performance

PurposeThis research examines how job seekers' levels of harmonious work passion (HWP) and obsessive work passion (OWP) affect the importance job seekers place upon job and organizational elements in recruiting messages.Design/methodology/approachEmployees who had recently completed job searches read multiple recruiting messages and ranked the importance of different elements in the messages.FindingsGeneral linear modeling found statistical differences between the importance of recruiting message elements for participants with varying levels of HWP and OWP.Research limitations/implicationsThe participants were information technology, engineering and human resource professionals limiting the generalizability of these results to other professions.Practical implicationsRecruiters should vary the information in their recruiting messages depending on the levels of HWP and OWP they want to attract to their applicant pools.Originality/valueThis research adds harmonious and obsessive work passion to the constructs considered in the recruiting message development process.