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1 – 10 of over 3000Suzan Abd El Moneim El Balshy and Mamdouh Ismael
This paper aims to present a theoretical framework which reveals the relationship between job evaluation (JE) and the development of fair wage structure from the organizational…
Abstract
Purpose
This paper aims to present a theoretical framework which reveals the relationship between job evaluation (JE) and the development of fair wage structure from the organizational justice (OJ) perspective. It focuses on analyzing the dimensions of job-based pay structure and the use of multifaceted construct of OJ (procedures, distribution and interaction) to determine how the perceived justice of JE's multi-levels construct contributes to achieve the fairness of wage structure.
Design/methodology/approach
This paper adopts an analytical descriptive approach in terms of explaining the perspectives and viewpoints related to the analysis. This paper is based on examining a theoretical framework provided by the authors based on a theoretical review of literature and a set of empirical evidences.
Findings
The design of a hierarchical wage structure counts on the multidimensional approach of JE which consists of three dimensions (processes, outcomes and social system). In addition, the determination of wage structure fairness is dependent on the assessment of the perceived justice of: JE's procedures, wages distribution and management's treatment with its employees.
Originality/value
This study provides a new theoretical contribution in studying the relationship between JE and the design of fair wage structure. This contribution can be regarded as a theoretical foundation for conducting some empirical and comparative studies in the future. The study affords directive mechanisms to policymakers in order to enhance the fairness of the wage structure across the state.
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Italo Cesidio Fantozzi, Sebastiano Di Luozzo and Massimiliano Maria Schiraldi
The purpose of the study is to identify the soft skills and abilities that are crucial to success in the fields of operations management (OM) and supply chain management (SCM)…
Abstract
Purpose
The purpose of the study is to identify the soft skills and abilities that are crucial to success in the fields of operations management (OM) and supply chain management (SCM), using the O*NET database and the classification of a set of professional figures integrating values for task skills and abilities needed to operate successfully in these professions.
Design/methodology/approach
The study used the O*NET database to identify the soft skills and abilities required for success in OM and SCM industries. Correlation analysis was conducted to determine the tasks required for the job roles and their characteristics in terms of abilities and soft skills. ANOVA analysis was used to validate the findings. The study aims to help companies define specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the job position.
Findings
As a result of the work, a set of soft skills and abilities was defined that allow, through correlation analysis, to explain a large number of activities required to work in the operations and SCM (OSCM) environment.
Research limitations/implications
The work is inherently affected by the database used for the professional figures mapped and the scores that are attributed within O*NET to the analyzed elements.
Practical implications
The information resulting from this study can help companies develop specific assessments and tests for the roles of OM and SCM to measure individual attitudes and correlate them with the requirements of the job position. The study aims to address the need to identify soft skills in the human sphere and determine which of them have the most significant impact on the OM and SCM professions.
Originality/value
The originality of this study lies in its approach to identify the set of soft skills and abilities that determine success in the OM and SCM industries. The study used the O*NET database to correlate the tasks required for specific job roles with their corresponding soft skills and abilities. Furthermore, the study used ANOVA analysis to validate the findings in other sectors mapped by the same database. The identified soft skills and abilities can help companies develop specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the requirements of the job position. In addressing the necessity for enhanced clarity in the domain of human factor, this study contributes to identifying key success factors. Subsequent research can further investigate their practical application within companies to formulate targeted growth strategies and make appropriate resource selections for vacant positions.
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Tanja Petry, Corinna Treisch and Bernadette Bullinger
Applying the institutional logics perspective to applicant attraction, this study investigates the level of uniformity among preferences for consulting job attributes associated…
Abstract
Purpose
Applying the institutional logics perspective to applicant attraction, this study investigates the level of uniformity among preferences for consulting job attributes associated with the institutional logics of the corporation, the profession and the family, and tests for the influence of anticipatory socialization differences.
Design/methodology/approach
The study uses a discrete choice experiment with 232 business students. A hierarchical Bayes approach to conjoint analysis uncovers part-worth heterogeneity and allows for subsequent cluster and regression analysis of the choice data.
Findings
The findings identify a dominant job-oriented preference type and a minor career-oriented preference type. Anticipatory socialization through personal prior work experience and the occupation of friends decreases adherence to the logic of profession and increases the relevance of the family logic. The parents' occupation has only a minimal influence on preferences.
Practical implications
The study provides attribute-based recommendations on how professional service firms can effectively address the complex expectations of potential applicants in their job ads for an entry position and underlines the role of intra-generational reference groups as important anticipatory socializers.
Originality/value
By testing individual socialization effects at the pre-hire stage and beyond the organizational level, the study fills a void in both the recruitment and the institutional literature.
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Sara Bonesso, Fabrizio Gerli and Elena Bruni
Analytics technologies are profoundly changing the way in which organizations generate economic and social value from data. Consequently, the professional roles of data scientists…
Abstract
Purpose
Analytics technologies are profoundly changing the way in which organizations generate economic and social value from data. Consequently, the professional roles of data scientists and data analysts are in high demand in the labor market. Although the technical competencies expected for these roles are well known, their behavioral competencies have not been thoroughly investigated. Drawing on the competency-based theoretical framework, this study aims to address this gap, providing evidence of the emotional, social and cognitive competencies that data scientists and data analysts most frequently demonstrate when they effectively perform their jobs, and identifying those competencies that distinguish them.
Design/methodology/approach
This study is exploratory in nature and adopts the competency-based methodology through the analysis of in-depth behavioral event interviews collected from a sample of 24 Italian data scientists and data analysts.
Findings
The findings empirically enrich the extant literature on the intangible dimensions of human capital that are relevant in analytics roles. Specifically, the results show that, in comparison to data analysts, data scientists more frequently use certain competencies related to self-awareness, teamwork, networking, flexibility, system thinking and lateral thinking.
Research limitations/implications
The study was conducted in a small sample and in a specific geographical area, and this may reduce the analytic generalizability of the findings.
Practical implications
The skills shortages that characterize these roles need to be addressed in a way that also considers the intangible dimensions of human capital. Educational institutions can design better curricula for entry-level data scientists and analysts who encompass the development of behavioral competencies. Organizations can effectively orient the recruitment and the training processes toward the most relevant competencies for those analytics roles.
Originality/value
This exploratory study advances our understanding of the competencies required by professionals who mostly contribute to the performance of data science teams. This article proposes a competency framework that can be adopted to assess a broader portfolio of the behaviors of big data professionals.
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Lukas Goretzki, Martin Messner and Maria Wurm
Data science promises new opportunities for organizational decision-making. Data scientists arguably play an important role in this regard and one can even observe a certain…
Abstract
Purpose
Data science promises new opportunities for organizational decision-making. Data scientists arguably play an important role in this regard and one can even observe a certain “buzz” around this nascent occupation. This paper enquires into how data scientists construct their occupational identity and the challenges they experience when enacting it.
Design/methodology/approach
Based on semi-structured interviews with data scientists working in different industries, the authors explore how these actors draw on their educational background, work experiences and perception of the contemporary digitalization discourse to craft their occupational identities.
Findings
The authors identify three main components of data scientists’ occupational identity: a scientific mindset, an interest in sophisticated forms of data work and a problem-solving attitude. The authors demonstrate how enacting this identity is sometimes challenged through what data scientists perceive as either too low or too high expectations that managers form towards them. To address those expectations, they engage in outward-facing identity work by carrying out educational work within the organization and (paradoxically) stressing both prestigious and non-prestigious parts of their work to “tame” the ambiguity and hype they perceive in managers’ expectations. In addition, they act upon themselves to better appreciate managers’ perspectives and expectations.
Originality/value
This study contributes to research on data scientists as well as the accounting literature that often refers to data scientists as new competitors for accountants. It cautions scholars and practitioners alike to be careful when discussing the possibilities and limitations of data science concerning advancements in accounting and control.
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I. Zografou, E. Galanaki, N. Pahos and I. Deligianni
Previous literature has identified human resources as a key source of competitive advantage in organizations of all sizes. However, Small and Medium-sized Enterprises (SMEs) face…
Abstract
Purpose
Previous literature has identified human resources as a key source of competitive advantage in organizations of all sizes. However, Small and Medium-sized Enterprises (SMEs) face difficulty in comprehensively implementing all recommended Human Resource Management (HRM) functions. In this study, we shed light on the field of HRM in SMEs by focusing on the context of Greek Small and Medium-sized Hotels (SMHs), which represent a dominant private sector employer across the country.
Design/methodology/approach
Using a fuzzy-set qualitative comparative analysis (fsQCA) and 34 in-depth interviews with SMHs' owners/managers, we explore the HRM conditions leading to high levels of performance, while taking into consideration the influence of internal key determinants.
Findings
We uncover three alternative successful HRM strategies that maximize business performance, namely the Compensation-based performers, the HRM developers and the HRM investors. Each strategy fits discreet organizational characteristics related to company size, ownership type and organizational structure.
Originality/value
To the best of the authors' knowledge this is among the first empirical studies that examine different and equifinal performance-enhancing configurations of HRM practices in SMHs.
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Roland Izuagbe, Olajumoke Rebecca Olawoyin, Christopher Nkiko, Promise Ifeoma Ilo, Felicia Yusuf, Mercy Iroaganachi, Julie Ilogho and Goodluck Israel Ifijeh
The purpose of the study is to ascertain whether or not faculty members would be motivated to use e-Databases for research considering the impact of the Technology Acceptance…
Abstract
Purpose
The purpose of the study is to ascertain whether or not faculty members would be motivated to use e-Databases for research considering the impact of the Technology Acceptance Model2 (TAM2) cognitive instrumental processes of job relevance, output quality and result demonstrability.
Design/methodology/approach
The survey research design was applied. The selection of samples was based on a multistage sampling technique involving; purposive, simple/systematic random and total enumeration procedures. Five colleges and departments each were selected from the three universities that provided the setting for the conduct of this study, out of which a sample of 135 was drawn from the total population of 209. The questionnaire method was used for data gathering. Ninety-five percent return rate of the administered instrument was observed. Descriptive and inferential statistical tools were employed for data analyses.
Findings
Job relevance, output quality and result demonstrability are motivators of faculty use of e-Databases for research with result demonstrability wielding the strongest influence. Use of e-Databases for research is based on the usefulness level perceived of them. Faculty are highly predisposed to using the technology for research with the chances of getting published in reputable journal outlets ranked highest among other factors that influence faculty use of e-Databases.
Originality/value
The conceptualization of TAM2 cognitive instrumental processes as system characteristics and motivators of e-Databases use among faculty towards research engagement advances the understanding of intention to use e-Databases for research.
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The coronavirus disease 2019 (COVID-19) epidemic has caused stress for everyone and impacted the lives of people globally. Such stress increases troubles for the employees…
Abstract
Purpose
The coronavirus disease 2019 (COVID-19) epidemic has caused stress for everyone and impacted the lives of people globally. Such stress increases troubles for the employees. Therefore, the aim of the paper is to identify symptoms of health problems that employees face during the COVID-19 epidemic. Also, the aim of the paper is to examine if there are statistically significant differences in the physical, emotional and behavioral symptoms of health problems among employees before the COVID-19 epidemic and employees during the COVID-19 epidemic.
Design/methodology/approach
The research is based on a survey of 950 employees in Slovenian companies. The factor analysis and the t-test for two independent samples were used to test the hypotheses of the research.
Findings
The results show that physical, emotional and behavioral symptoms of health problems of employees during the COVID-19 epidemic are intensified as compared to the before COVID-19 epidemic era.
Originality/value
The results highlight the measures with which companies can reduce the problem of different symptoms of employees during the COVID-19 epidemic. The results can be useful for employers and for managers who want to create an adequate working environment for employees during the COVID-19 epidemic.
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Drawing on Bandura’s social learning theory (SLT), the purpose of this paper is to investigate, analytically, the impact that after-training skills level (i.e. perceived skill…
Abstract
Purpose
Drawing on Bandura’s social learning theory (SLT), the purpose of this paper is to investigate, analytically, the impact that after-training skills level (i.e. perceived skill match) has on change self-efficacy. Moreover, this research also aims to identify which specific skills sets (if any) act as a protective factor during organizational change, supporting the change confidence (CC) level of the people involved.
Design/methodology/approach
Quantitative research was carried out on a sample of 200 workers in the bank sector.
Findings
Findings of this study suggest that skill match has a significant impact on the CC level. Furthermore, this study demonstrates that, even in front-office jobs, a perceived skill match of soft skills does not have a significant impact on staff CC, unlike that suggested by common sense and by literature.
Research limitations/implications
Future research should investigate if and how a training process enables change self-efficacy over time or instead shows its utility only when it is relating to a specific and limited period.
Practical implications
This study suggests that in designing training, top and middle management should pay specific attention to change recipients’ needs by adopting a bottom-up approach. Moreover, to improve training effectiveness, it would be advisable to also train change recipients’ supervisors.
Social implications
This study has social implications in suggesting how to foster the adaptive capabilities of change recipients in current turbulent times. In doing so, it suggests how to prevent some undesirable change consequences such as anxiety, intention to quit, work-related stress and change cynicism.
Originality/value
This paper shows that, from a methodological point of view, it is necessary to evaluate training effectiveness at the level of a specific skill area and not simply by comparing the trained/not trained people, as typically practiced until now.
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