Which professional skills value more under digital transformation?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sofia Paklina ◽  
Elena Shakina
Keyword(s):  
Text Mining ◽  
Labour Market ◽  
Empirical Evidence ◽  
Labour Force ◽  
Sample Selection ◽  
Large Data ◽  
Hedonic Pricing ◽  
Data Set ◽  
Content Type ◽  
Computing Skills

PurposeThis study seeks to explore the demand side of the labour market influenced by the digital revolution. It aims at identifying the new composition of skills and their value as implicitly manifested by employers when they look for the new labour force. The authors analyse the returns to computing skills based on text mining techniques applied to the job advertisements.Design/methodology/approachThe methodology is based on the hedonic pricing model with the Heckman correction to overcome the sample selection bias. The empirical part is based on a large data set that includes more than 9m online vacancies on one of the biggest job boards in Russia from 2006 to 2018.FindingsEmpirical evidence for both negative and positive returns to computing skills and their monetary values is found. Importantly, the authors also have found both complementary and substitutional effects within and between non-domain (basic) and domain (advanced) subgroups of computing skills.Originality/valueApart from the empirical evidence on the value of professional computing skills and their interrelations, this study provides the important methodological contribution on applying the hedonic procedure and text mining to the field of human resource management and labour market research.

scholarly journals Bullying at school and labour market outcomes

2014 ◽  
Vol 35 (8) ◽  
pp. 1185-1211 ◽  
Author(s):  
Nick Drydakis
Keyword(s):  
Labour Market ◽  
Cognitive Skills ◽  
Labour Force ◽  
Labour Productivity ◽  
Labour Force Participation ◽  
Employment Outcomes ◽  
Hourly Wage ◽  
Data Set ◽  
Economic Implications ◽  
Content Type

Purpose – The purpose of this paper is to examine the long-term correlates of bullying in school with aspects of functioning in adult employment outcomes. Design/methodology/approach – Bullying is considered and evaluated as a proxy for unmeasured productivity, and a framework is provided that outlines why bullying might affect employment outcomes through differences in skills and traits. Using Bivariate and Heckit models the paper employs a variety of specifications and finds several interesting patterns. Findings – By utilising the 2008 Greek Behavioural Study data set the regression outcomes suggest that labour force participation, employment rate and hourly wages are negatively affected by bullying. In addition, men, homosexuals, immigrants, unmarried people, those having higher negative mental health symptoms, and those having lower human capital are more negatively affected by bullying in terms of labour force participation, employment probability and hourly wages. Moreover, Oaxaca-Blinder decompositions suggest that labour force participation gaps, employment gaps and hourly wage gaps between minority and majority groups, especially for gay men and the disabled, can be explained by bullying incidents. Practical implications – It seems likely that having been a victim of bullying also has economic implications later in life due to withdrawal from the labour market and lower wages. Originality/value – The retrospective bullying index used in the current study measured the combined and ordered effect of the duration and intensity of bullying, which generates 17 outcomes that ultimately capture a large range of alternative options. In addition, the author suggested that bullying might be understood as a productivity trait that provides a direct input into the production process, which might drive abilities or traits and influence adult employment outcomes. Contemporary economic analysis suggests that cognitive and non-cognitive skills are important factors that affect labour productivity through reasoning ability and productivity.

scholarly journals Women’s participations in economic and NGO activities in Bangladesh

2016 ◽  
Vol 36 (7/8) ◽  
pp. 491-515 ◽  
Author(s):  
Hafiz T.A. Khan ◽  
Twyeafur Rahman
Keyword(s):  
Labour Market ◽  
Economic Crisis ◽  
Labour Force ◽  
Wealth Index ◽  
Labour Force Participation ◽  
Demographic And Health Surveys ◽  
Economic Activities ◽  
Data Set ◽  
Content Type ◽  
Number Of Children

Purpose – The purpose of this paper is to examine key factors affecting the economic involvement of women in Bangladesh and women’s involvement with non-governmental organisations (NGOs) particularly in microcredit operating in that country. Design/methodology/approach – The study uses nationally representative data set. Quantitative analysis was utilised to explore data contained in the Bangladesh Demographic and Health Surveys 2007 and 2011. Findings – The findings indicate that age, marital status, number of children living in the household, place of residence, geographical location, education, partner’s education and the wealth index are important factors in enabling women’s involvement in economic activities. In other words, the key findings emerged from the study are first, the low level of women’s economic activities in Bangladesh with a majority involved in farming, agriculture and poultry; second, those women involved in the labour market generally tended to come from poor backgrounds, have very little education, live in the Northwest geographical region and have a large family living in the same house; and finally, age, currently married, having a higher number of children, living in rural areas, from the Northwest region with almost no education and belonging to the poor wealth index quintile are found to be associated more with NGO activities in Bangladesh. Social implications – The findings indicate there are potential barriers that are preventing Bangladeshi women from engaging in the labour market that could reinforce the case for reshaping the government’s labour policies. The study reveals that the recent economic crisis has no significant impact on the women labour force participation as well their involvement in NGO activities in Bangladesh. It is generally understood that enhancing women’s economic participation and NGO activities has a positive impact at family, community and country levels. The study concludes that investing in women, particularly in creating employment opportunities including NGO sectors can help the country as a safeguard even during the economic crisis. It is anticipated that the findings will help policy-makers in enhancing female labour force participation as well as encouraging them to engage in NGO activities in Bangladesh. Originality/value – The research paper is original in terms of conceptual framework, research design and statistical analysis.

User password repetitive patterns analysis and visualization

2016 ◽  
Vol 24 (1) ◽  
pp. 93-115 ◽  
Author(s):  
Xiaoying Yu ◽  
Qi Liao
Keyword(s):  
Security Policy ◽  
Large Data ◽  
Efficient Algorithms ◽  
Privacy And Security ◽  
Data Set ◽  
Web Based ◽  
Content Type ◽  
Word Cloud ◽  
Individual Privacy ◽  
Password Security

Purpose – Passwords have been designed to protect individual privacy and security and widely used in almost every area of our life. The strength of passwords is therefore critical to the security of our systems. However, due to the explosion of user accounts and increasing complexity of password rules, users are struggling to find ways to make up sufficiently secure yet easy-to-remember passwords. This paper aims to investigate whether there are repetitive patterns when users choose passwords and how such behaviors may affect us to rethink password security policy. Design/methodology/approach – The authors develop a model to formalize the password repetitive problem and design efficient algorithms to analyze the repeat patterns. To help security practitioners to analyze patterns, the authors design and implement a lightweight, Web-based visualization tool for interactive exploration of password data. Findings – Through case studies on a real-world leaked password data set, the authors demonstrate how the tool can be used to identify various interesting patterns, e.g. shorter substrings of the same type used to make up longer strings, which are then repeated to make up the final passwords, suggesting that the length requirement of password policy does not necessarily increase security. Originality/value – The contributions of this study are two-fold. First, the authors formalize the problem of password repetitive patterns by considering both short and long substrings and in both directions, which have not yet been considered in past. Efficient algorithms are developed and implemented that can analyze various repeat patterns quickly even in large data set. Second, the authors design and implement four novel visualization views that are particularly useful for exploration of password repeat patterns, i.e. the character frequency charts view, the short repeat heatmap view, the long repeat parallel coordinates view and the repeat word cloud view.

Community of practice: converting IT graduate students into specialists via professional knowledge sharing

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liana Stanca ◽  
Dan-Cristian Dabija ◽  
Elena Păcurar
Keyword(s):  
Cluster Analysis ◽  
Knowledge Transfer ◽  
Learning Styles ◽  
Labour Market ◽  
Community Of Practice ◽  
Labour Force ◽  
Emerging Market ◽  
Professional Knowledge ◽  
Content Type ◽  
Learning Framework

Purpose The paper aims to highlight how an applied learning framework or “community of practice” (CoP) combined with a traditional theoretical course of study enables the identification of teaching-learning processes which facilitate knowledge transfer from practitioners to graduate information technology (IT) students for quicker integration in the labour market. Design/methodology/approach CoPs are identified based on cluster analysis according to Kolb’s Learning Style Inventory (1984), with data obtained through a survey. Empirical research is applied to the CoP developed within a non-formal learning framework, principal new actors being IT specialists linked to graduate IT students and teachers on a traditional university course. Graduate IT students can gain knowledge of the ideal employee and the social and emotional skills needed to integrate with the IT labour market. Findings The K-Means algorithm helps to identify clusters of graduate IT students displaying necessary knowledge acceptance behaviour to convert them into specialists. The results of the cluster analysis show different learning styles of the labour force, providing an overview of candidate selection methods and the knowledge, skills and attitudes expected by users. Research limitations/implications Although the research adds value to the existing literature on learning styles and the knowledge and core skills needed by IT specialists, it was limited to an emerging market. Originality/value The study provides a preliminary overview of graduate IT students’ attitudes from an emerging market to the re-engineering of academic learning contexts to facilitate professional knowledge transfer, converting them into IT practitioners and integrating them in the labour market of an emerging economy.

The relationship between risk, capital and efficiency in Indian banking: Does ownership matter?

2019 ◽  
Vol 11 (2) ◽  
pp. 218-231
Author(s):  
Sanjukta Sarkar ◽  
Rudra Sensarma ◽  
Dipasha Sharma
Keyword(s):  
Public Sector ◽  
Credit Risk ◽  
Large Data ◽  
Foreign Banks ◽  
Risk Capital ◽  
Lower Efficiency ◽  
Data Set ◽  
Content Type ◽  
Balance Sheets ◽  
Indian Banks

Purpose This paper aims to examine the interplay between risk, capital and efficiency of Indian banks and study how their relationship differs across different ownership types. Design/methodology/approach Panel regression techniques are used to analyze a large data set of all Indian scheduled commercial banks operating during the period 2008-2016. Findings The results show that lower efficiency is associated with higher credit risk in the case of public sector and old private sector banks (”bad management hypothesis”). However, higher efficiency leads to higher credit risk in the case of foreign banks (“cost skimping hypothesis”). The authors further find that the more efficient institutions among public sector hold more capital. Finally, they find that the better-capitalized banks among those in the public sector have lower risks on their balance sheets (“moral hazard hypothesis”). Originality/value There is a paucity of papers on the interplay between risk, capital and efficiency of banks in emerging economies. This paper is the first to study the inter-relationship between risk, capital and efficiency of Indian banks across ownership groups using a number of different measures of risk.

Board diversity and performance in a masculine, aged and glocal supply chain: new empirical evidence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Giuseppe Giulio Calabrese ◽  
Alessandro Manello
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Empirical Evidence ◽  
Linear Models ◽  
Data Set ◽  
Board Diversity ◽  
Content Type ◽  
Automotive Supply Chain ◽  
And Performance ◽  
Automotive Supply

Purpose This study aims to contribute to the debate on the relationship between board diversity and performance, a hot topic for scholars and shareholders. A number of studies have found contrasting impacts of board diversity on firm performance and this paper adds new and original evidence in the context of the automotive supply chain focusing on gender, age and nationality diversity. Design/methodology/approach The authors propose a triple stage empirical analysis. First, the authors use linear models according to different performance indexes for investigating diversity (gender, age and nationality) within the board of directors and executives. Second, the authors investigate the issue of diversity in different contexts such as position in the supply chain, nationality of the owner and family/corporate ownership. Finally, the authors use non-linear models to find a better combination of diversity in terms of gender and nationality for retrieving some managerial implications. Findings First, the authors demonstrate a robust positive effect of women in board representation on firm performance in terms of profitability and firm risk. In the case of, age and nationality the results are more equivocal in particular for the former. Second, the authors depict board diversity in different contexts as follows: positioning in the supply chain, type and nationality of the final owner. Again, gender heterogeneity is more adequate in the complex firm as Tier 1 suppliers, corporate and foreign company. Originality/value The authors focused the analysis on a specific industry, shedding light on the main specificities linked to operating in certain phases of the supply chain, a substantial novelty in this field. The empirical evidence is based on a very large data set containing quantitative and qualitative information on a representative sample of 1,538 firms operating in the Italian automotive supply chain, one of the most relevant in Europe.

scholarly journals Translating emotional insights from hospitality employees’ comments

2018 ◽  
Vol 32 (1) ◽  
pp. 75-92 ◽  
Author(s):  
Lisa M. Young ◽  
Swapnil Rajendra Gavade
Keyword(s):  
Job Satisfaction ◽  
Sentiment Analysis ◽  
Big Data Analytics ◽  
Large Data ◽  
Hospitality Management ◽  
Data Set ◽  
Employee Survey ◽  
Content Type ◽  
Employee Job Satisfaction ◽  
The Usa

PurposeThe purpose of this paper is to use the data analysis method of sentiment analysis to improve the understanding of a large data set of employee comments from an annual employee job satisfaction survey of a US hospitality organization.Design/methodology/approachSentiment analysis is used to examine the employee comments by identifying meaningful patterns, frequently used words and emotions. The statistical computing language, R, uses the sentiment analysis process to scan each employee survey comment, compare the words with the predefined word dictionary and classify the employee comments into the appropriate emotion category.FindingsEmployee responses written in English and in Spanish are compared with significant differences identified between the two groups, triggering further investigation of the Spanish comments. Sentiment analysis was then conducted on the Spanish comments comparing two groups, front-of-house vs back-of-house employees and employees with male supervisors vs female supervisors. Results from the analysis of employee comments written in Spanish point to higher scores for job sadness and anger. The negative comments referred to desires for improved healthcare, requests for increased wages and frustration with difficult supervisor relationships. The findings from this study add to the growing body of literature that has begun to focus on the unique work experiences of Latino employees in the USA.Originality/valueThis is the first study to examine a large unstructured English and Spanish text database from a hospitality organization’s employee job satisfaction surveys using sentiment analysis. Applying this big data analytics process to advance new insights into the human capital aspects of hospitality management is intriguing to many researchers. The results of this study demonstrate an issue that needs to be further investigated particularly considering the hospitality industry’s employee demographics.

scholarly journals The normative evolution of corporate governance in the UK: an empirical analysis (1995-2014)

2019 ◽  
Vol 19 (5) ◽  
pp. 1015-1041 ◽  
Author(s):  
Stefanie Pletz ◽  
Joan Upson
Keyword(s):  
Corporate Governance ◽  
Longitudinal Data ◽  
Empirical Evidence ◽  
Financial Market ◽  
Data Set ◽  
Content Type ◽  
Market Growth ◽  
Implementation Model ◽  
Quantitative And Qualitative Research ◽  
The Uk

Purpose This paper aims to analyse normative corporate governance evolution in the UK between 1995 and 2014 against the benchmark of Organisation for Economic Co-Operation and Development (OECD) regulatory principles. Design/methodology/approach Methodologically, the authors conduct an empirical, longitudinal data set analysis of the formative years of UK normative corporate governance development between 1995 and 2014. We provide a qualitative discussion of the empirical evidence that links the type of UK regulatory corporate governance development to financial market growth thereby adopting a mixed approach based on quantitative and qualitative research methods. Findings The authors find that compared to the OECD model of corporate governance, the UK model is less rigid following a more self-regulatory approach based upon a “comply or explain” paradigm. Thus it is scored below corporate governance systems that follow a compulsory implementation model. However, even with such “low” tilt towards formal shareholder primacy norms, the UK has the best performing financial market. As a quasi-empirical study, the authors suggest that there are several historical and economic reasons for this, which together with a robust rule of law in the UK contribute to this performance – and the law especially the type or tilt is less relevant. Originality/value This is the first of its kind empirical, longitudinal data set analysis with qualitative elements that links empirical evidence to regulatory developments in the wider context of UK corporate governance evolution.

Immigrants’ socio-economic achievements and cultural diversity

2017 ◽  
Vol 38 (5) ◽  
pp. 712-728 ◽  
Author(s):  
Annie Tubadji ◽  
Masood Gheasi ◽  
Peter Nijkamp
Keyword(s):  
Cultural Capital ◽  
Labour Market ◽  
Professional Education ◽  
Control Variable ◽  
Economic Research ◽  
Type Model ◽  
Data Set ◽  
Content Type ◽  
Migrant Background ◽  
Cultural Milieu

Purpose An interest in social transmission as a source of welfare and income inequality in a society has re-emerged recently with new vigour in leading economic research (see Piketty, 2014). This paper presents a mixed Bourdieu-Mincer (B-M) type micro-economic model which provides a testable mechanism for culturally biased socio-economic inter-generational transmission. In particular, the operationalisation of this mixed B-M type model seeks to find evidence for individual and local cultural capital effects on the economic achievements, in addition to the human capital effect, for both migrants and locals in the Netherlands. The purpose of this paper is to examine two sources of wage differential in the local labour market, namely: individual cultural capital (approximated by immigrant background), which affects schooling results; and the local cultural capital (approximated with the cultural milieu), which directly biases the selection of employees. Design/methodology/approach The study utilises the 2007-2009 data set for higher professional education (in Dutch termed HBO) graduates registered in the Maastricht database. The Mincer-type equation is augmented with a control variable for the local cultural milieu. The authors cope with this model empirically by means of 2SLS and 3SLS methods. Findings The authors find convincing evidence for the existence of both an individual cultural capital and a local cultural capital effect on schooling and wage differentials. This can be interpreted as a migrant background effect leading to a disadvantaged position on the labour market due to less frequently attending high-quality secondary schools. Originality/value More importantly, the authors find evidence for a classical Myrdalian effect of self-fulfilling prophecy, in which graduates with second-generation migrant background have a disadvantaged position due to access only to poorer quality of schooling.

Structure and growth of employment: evidence from India KLEMS data

2019 ◽  
Vol 12 (2) ◽  
pp. 202-228
Author(s):  
Suresh Chand Aggarwal ◽  
Bishwanath Goldar
Keyword(s):  
Growth Rate ◽  
Employment Growth ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Recent Period ◽  
Data Set ◽  
Labour Force Participation Rate ◽  
Content Type ◽  
Employment Elasticity

Purpose This study aims to analyze the structure and trend in employment in the Indian economy between 1980-8081 and 2015-2016. Design/methodology/approach Use of India KLEMS data set. Estimate growth rate of employment and discuss employment prospects using “Point” employment elasticity. Findings Whilst India’s GDP growth rate has been quite impressive since the reforms of 1991, the rate of employment growth, especially in the recent period of 2003-2015, has been quite slow (1 per cent) with low employment elasticity (0.1). The pattern of employment growth has also been imbalanced with slow rate of employment growth in manufacturing and rapid growth rate in the construction sector. India now also has low labour force participation rate and a large share of informal employment in the economy. Research limitations/implications The limitation is the lack of reliable data on employment for the recent period. Practical implications With overall low employment elasticity, India would have to explore sectors where more employment opportunities could be created. Social implications India has to create not only more jobs but also “good” jobs. Originality/value The India KLEMS data provide a time series for employment, which has been used in this paper to find “Point” elasticity instead of arc elasticity of employment and is an improvement over existing employment elasticity estimates.

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