Employability prediction: a survey of current approaches, research challenges and applications

Mezhoudi, Nesrine; Alghamdi, Rawan; Aljunaid, Rim; Krichna, Gomathi; Düştegör, Dilek

doi:10.1007/s12652-021-03276-9

Cited by 36 publications

(24 citation statements)

References 32 publications

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“…In the last decade, employability prediction studies were conducted in various countries. The focus of these studies was to predict employability at graduation, management and technical education level (Ayoubi et al , 2017; Benson et al , 2014; Mezhoudi et al , 2021). However, there is no theoretical evidence found to substantiate the empirical results.…”

Section: Discussionmentioning

confidence: 99%

The role of predictive analytics to explain the employability of management graduates

Raman

Pramod

2021

BIJ

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PurposeIn India, one of the prime focuses of a post-graduate management program is to prepare students and make them job-ready. Masters in Business Management (MBA) program helps students to imbibe theoretical and practical skills which are required by the industry, which can make them hit the ground running from the day they start their career. Many students (almost 40–50%) get pre-placement offers based on their performance in summer internship. The selection for summer interns by the corporate happens within a few months of the student joining the MBA program. Signaling theory in education indicates that the level of productivity of an individual is independent of education, but the educational qualification acts as a testimony for higher ability. However, this theory does not explain the reason for the mismatch between “education and work” or “education and the disparity in salary” between individuals who earn differently but have the same qualification. The paper aims to explore three attributes namely – “employability”– the chance of being employable; “pre-placement offers” – the chance of securing a job offer based on the performance in internship and “salary” – the chance of bagging a good job offer with a high salary.Design/methodology/approachThe authors have used longitudinal data consisting of 1,202 students who graduated from reputable business schools (B-Schools) in India. In the study, the authors have used predictive analytics on six years data set that have been gathered. The authors have considered 24 attributes including educational background at the graduate level (BE, B Tech, B Com, BSc, BBA and others), score secured in class ten (high, medium and low), score secured in class twelve (high, medium and low), score secured in graduation (high, medium and low), competency in soft skills (high, medium and low), participation in co-curricular activities (high, medium and low) and social engagement status (high, medium and low).FindingsThe findings of the study contradict the signaling theory in education. The findings suggest that the educational qualification alone cannot be the predictor of the employability and the salary offered to the student. The authors note that the better performance at a lower level of qualification (class 12) is the strong predictor in comparison to the student performance at their graduation and post-graduation level. The authors further observed at the post-graduate management education level that soft skills and participation in co-curricular activities are the major deciding factors to predict employability and pre-placement job opportunity and marks secured in class 12 is one more factor that gets added to this list to predict salary. The paper can immensely help management graduates to focus on key aspects that can help to hone appropriate skills and also can help management institutions to select the right students for management programs.Research limitations/implicationsThe analysis and the predictive model may apply to Indian B-Schools wherein the quality of students are almost the same or better. Predictive analytics has been used to explain the employability of management graduates alone and not any other.Practical implicationsThe authors' study might be useful for those students who often fail to understand “what” skills are the most important predictors of their performance in the pre-placement and final-placement interviews. Moreover, the study may serve as a useful guide to those organizations that often face dilemmas to understand “how” to select an ideal candidate for the particular job profile from a campus.Originality/valueThe authors believe that the current study is one of the few studies that have attempted to examine the employability of management graduates using predictive analytics. The study further contradicts that the signaling theory in education does not help better explain the employability of the students in extremely high-paced business environments.

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Section: Discussionmentioning

confidence: 99%

The role of predictive analytics to explain the employability of management graduates

Raman

Pramod

2021

BIJ

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“…Knowing their weaknesses and strengths, students might better plan their career. [6]Wes Mc Kinney (2016) In this paper we will discuss pandas, a Python library of rich data structures and tools for working with structured data sets common to statistics, finance, social sciences, and many other fields. The library provides integrated, intuitive routines for performing common data manipulations and analysis on such data sets.…”

Section: Related Workmentioning

confidence: 99%

Prediction of Unemployment In India Using Fb Prophet

2023

Data Analytics and Artificial Intelligence

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The unemployment rate is a key indicator of economic performance and financial market risk. The main causes of unemployment in India are Large population, lack of professional qualifications, or poorly educated workforce. Labor-intensive sectors have suffered from a slowdown in private investment, especially after the banknote withdrawal. The Covid surge has made unemployment one of the biggest problems in India. The purpose of this project is to predict the future unemployment rate in India using the FB Prophet model. This model is used to predict the future values and developed by Facebook. There are many predictive model in unemployment using LSTM and ARIMA model but the values are not much precise, so we proposed the FB Prophet model for predicting the precise value. We can get a precise with the help of FB Prophet Model. The values are predicted using the FB prophet model and the predicted values are displayed in the form of graph.

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“…Semantic-based education [18] and analytical applications [19] are critical to academic courses' knowledge representation, modelling the learning outcomes and categorising the professions and the necessary abilities. All may be used for analysis and prediction [20].…”

Section: Literature Reviewmentioning

confidence: 99%

A Methodological Framework to Predict Future Market Needs for Sustainable Skills Management Using AI and Big Data Technologies

et al. 2022

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Analysing big data job posts in Saudi cyberspace to describe the future market need for sustainable skills, this study used the power of artificial intelligence, deep learning, and big data technologies. The study targeted three main stakeholders: students, universities, and job providers. It provides analytical insights to improve student satisfaction, retention, and employability, investigating recent trends in the essential skills pinpointed as enhancing the social effect of learning, and identifying and developing the competencies and talents required for the Kingdom of Saudi Arabia’s (KSA’s) digital transformation into a regional and global leader in technology-driven innovation. The methodological framework comprises smart data processing, word embedding, and case-based reasoning to identify the skills required for job positions. The study’s outcomes may promote the alignment of KSA’s business and industry to academia, highlighting where to build competencies and skills. They may facilitate the parameterisation of the learning process, boost universities’ ability to promote learning efficiency, and foster the labour market’s sustainable evolution towards technology-driven innovation. We believe that this study is crucial to Vision 2030’s realisation through a long-term, inclusive approach to KSA’s transformation of knowledge and research into new employment, innovation, and capacity.

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Employability prediction: a survey of current approaches, research challenges and applications

Cited by 36 publications

References 32 publications

The role of predictive analytics to explain the employability of management graduates

The role of predictive analytics to explain the employability of management graduates

Prediction of Unemployment In India Using Fb Prophet

A Methodological Framework to Predict Future Market Needs for Sustainable Skills Management Using AI and Big Data Technologies

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