Search results

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

Over the past few decades, university reforms in line with management and enterprise ideals have been well documented. Changes in the ideals underlying the missions of universities have led to changes in their modes of governing and organizing, which in turn drive further transformation of their missions. One set of reforms in Swedish higher education has been the dissolution of collegial bodies and procedures. At the same time, in recent years, we have witnessed an increased interest in collegiality and a reintroduction of collegial bodies and procedures. New translations of collegiality appear not only in how universities are organized, but also in other core aspects of research and higher education. We review examples of peer reviewing, research assessment, and direct recruitment of professors and ask: Can these new translations of collegiality be understood as a revitalization of collegiality, or is it – to draw a parallel with greenwashing – rather a matter of collegiality-washing?

The theme of collegiality and more broadly of changes in the governance of universities has attracted growing interest within the sociology of higher education. As institutions, contemporary universities are inhabited by competing logics often defined in terms of market pressures and are shaped by the higher education policies of governments. Collegiality is an ideal-type form of university governance based on expertise and scientific excellence. Our study looks at manifestations of collegiality in two publicly funded universities in Canada. Collegiality is explored through the structural attributes of governance arrangements and academic culture in action as a form of self-governance. Case studies rely on two data sources: (1) policy documents and secondary data on various aspects of university development, and (2) semi-structured interviews with key players in the governance of these organisations, including unions. Two main findings with implications for the enactment of collegiality as a governance mode in universities are discussed. The first is that governance structures are slowly transitioning into more hybrid and corporate forms, where academics remain influential but share and negotiate influence with a broader set of stakeholders. The second is the appearance of forces that promote a delocalisation of collegiality, where academics invest in external scientific networks to assert collegiality and self-governance and may disinvest in their own institution, thus contributing to the redefinition of academic citizenship. Status differentiation among academic colleagues is associated with the externalisation of collegiality. Mechanisms to associate collegiality with changes in universities and their environment need to be further explored.

The purpose of this paper is to test the impact of selected characteristics of jobseekers on employers’ decisions regarding potential hires (direct and probabilistic signals). The main focus of the study is to test the impact of jobseekers’ participation in selected active labour market programmes on employers’ hiring decisions for three positions: unskilled worker, skilled worker and administrative employee. Other characteristics tested include age, gender, presence of children in the household, state of health, experience of short- and long-term unemployment and indebtedness.

This study analyses data from a representative survey of employers with five or more employees in the Czech Republic. The survey was conducted in December 2020 using stratified random sampling, combining online questionnaires and personal interviews. The study includes 1,040 employers and uses the factorial survey experiment (FSE) design.

The results of the FSE suggest that the perceived positive impact of completing one of the activation programmes depends on the position for which the candidate is being recruited. While for the unskilled job category, the completion of any of the tested schemes (training, subsidised jobs or public works) had a positive effect; for the skilled job category, only the training and subsidised jobs schemes had a positive effect; and for the administrative job category, public works programme even had a negative effect.

A somewhat limiting factor in the context of this study seems to be the definitions of the positions tested (unskilled and skilled workers and administrative staff). The decision-making of the respondents was somewhat restricted by such broadly defined categories. Typically, studies with FSE designs have a focus on a specific sector of the economy, which allows for a better definition of the positions or jobs under test. The relationship between position and the impact of individual characteristics is clearly a matter for further research.

The results of the study confirm that completion of the activation programme, as well as other candidate characteristics, constitute differentiating signals for employers that influence their hiring decisions. At the same time, there is evidence that the training programme and the subsidised jobs programme are effective in terms of increasing participants’ chances of employment.

The demand side should be included in the evaluation of activation policies. The design of the FSE provides an appropriate way to test the impact of activation measures on the decision-making of employers.

This article investigates whether employers are more likely to employ older workers when faced with a shortage of qualified labour. Furthermore, it analyses whether in such cases age stereotypes moderate employers' preferences towards four employment options: (1) supporting workers to continue until the retirement age, (2) encouraging workers to continue beyond the retirement age, (3) recruiting someone older than 55 and (4) (re)hiring someone who has retired.

Data were drawn from a survey conducted among Finnish employers in 2021 (response rate = 66%, N = 1,442). Applying factor analysis to questions about older workers' qualities compared to those of average workers, a distinction was made between perceptions of experience-related and adaptability-related qualities. Generalised ordered logistic regression models were estimated to analyse the relations of preferences for each employment option with experiencing recruitment problems, workplace age stereotypes and interactions between these.

Experiencing recruitment problems was positively related to preferences for hiring a retired person. Employers with difficulties in recruitment were more likely to support work until the retirement age and recruit someone over 55, but only if they had above-average positive perceptions of older workers' experience-related qualities. Employers confronted with recruitment difficulties were more likely to encourage workers to continue beyond the retirement age if they had more positive perceptions of older workers' adaptability-related qualities.

This study shows that, even when confronted with labour shortages and population ageing, workplace age stereotypes still pose a potential obstacle for employers to make the best use of an older workforce.

Decision-making plays a vital role in business. Yet as a trait, it is often overlooked when identifying, assessing, onboarding and empowering leadership talent. This study, therefore, aims to focus on the dimensions of organisational decision-making and investigate whether it should be an integral factor in the hiring process. The survey also looks at the relationships between decision-making and executive leadership, talent strategy and employee satisfaction. Could good decision-making as a trait be a factor when it comes to retention, improving organisational thinking and thriving leadership?

A quantitative and qualitative survey was commissioned and conducted by FT Longitude, part of the Financial Times Group. This included a questionnaire sent out to 400 senior executives at C-suite, C-1 and C-2 levels. The respondents were from companies with more than 1,000 employees in 13 industries and from five countries across the Americas, Europe and Asia-Pacific. This was also accompanied by in-depth interviews with three experts from both the public and private sector.

Almost two-thirds (63%) of senior executives have resigned or considered resigning due to frustration with organisational decision-making, while 29% have considered quitting because they were frustrated with the way a company makes decisions. More than a third (34%) resigned for this reason. Yet, a quarter of senior executives say that their decision-making experience was not explicitly discussed before starting their job. Senior executives who were asked about decision-making in interviews were 1.4 times more likely to be satisfied with their jobs. The ability to make decisions should therefore play a central role in hiring senior executives.

Decision-making as a trait has been neglected when hiring executives. For the first time, this research shows how significant it is for leadership teams. If senior executives are to improve organisational decision-making, this trait needs codifying in HR processes. This has led Kingsley Gate to embed it in recruitment profiling.

This study examines the adoption of information and communication technologies (ICT) for e-recruitment and its impacts on public value outcomes.

A survey was conducted with 213 public sector employees in the federal civil service using a questionnaire to test a conceptual model integrating the Technology Acceptance Model, Media Richness Theory and Public Value Theory using PLS-SEM analysis.

Results validate significant positive relationships between ICT adoption, social media use for e-recruitment and public value creation. Internet self-efficacy positively moderates public value outcomes.

While this study makes valuable contributions, avenues remain to further expand generalizability, strengthen validity and incorporate additional institutional factors in the framework.

The study provides insights to guide policies and interventions aimed at improving ICT adoption success and public value gains from e-government investments in developing countries.

The research makes key contributions by operationalizing and empirically assessing the public value impacts of e-government innovations and examining adoption issues in an understudied developing country context.

This study is dedicated to critically analysing research addressing human resource management (HRM) and the adoption of artificial intelligence (AI) with the purpose of driving development in the field of human resources (HR) at the strategic and managerial level.

A systematic literature review (SLR) was conducted using the Scopus database, which gathered 61 articles between 2002 and 2022. The SLR process has the potential to, in addition to generating knowledge and theories, support and guide policy development and practice in many disciplines.

The results of this study allowed the author to identify three main conclusions: (a) there are four thematic clusters – (i) Strategic HR and AI, (ii) Recruitment and AI, (iii) Training and AI and (iv) Future of work; (b) there is a growing academic interest in studying the implementation of AI to develop the HR sector and (c) the application of AI stands out in the strategic HR and AI cluster as a means of achieving profit maximisation and the overall development of the organisation.

This study is the first SLR to present a strategic and managerial view on AI applications associated with specific HRM dimensions. The study is also the first SLR to identify key trends in the literature, drivers and obstacles to the development of AI in HRM and then place them within the landscape of positive and negative approaches in a framework. Also, as a contribution, the study has practical implications for HR managers and practitioners in adopting AI as a decision support in the area's processes.

This study aims to examine the transitions in hiring criteria by recruiting companies in top ten Quacquarelli Symonds ranked business schools in India during the pandemic.

Using an exploratory lens, an in-depth semistructured interview was conducted with 20 recruiting companies across industries and roles.

Content analysis suggests the changing preferences in hiring criteria and identifies six themes that have assumed importance during the pandemic period.

This study has implications for business school participants who need to change their preparation strategy during the placement season.

There is an opportunity for business schools to focus on these two soft skills, namely, self-management with self-discipline and oral and written communication across the platform. However, in the depth and diversity of soft skills training, there is often a shallow coverage of multiple skills. The rather focused approach to developing these two skills may go a long way in preparing work-delivery graduates who could hit the proverbial ground running as the first step into their careers.

This study contributes to hiring managers by suggesting the traits that may assume importance in the new normal where remote or hybrid working context is a necessity.