scholarly journals Works councils and performance appraisals

2020 ◽  
Vol 3 (1) ◽  
pp. 29-50
Author(s):  
Christian Grund ◽  
Dirk Sliwka ◽  
Krystina Titz
Keyword(s):  
Industrial Relations ◽  
Performance Appraisals ◽  
Data Sets ◽  
Content Type ◽  
Works Councils ◽  
Bonus Payments ◽  
Actual Use ◽  
And Performance ◽  
Works Council ◽  
The Individual

PurposeWe analyze the role of works councils for the use of performance appraisals (PA). We distinguish between the incidence of PA systems as intended by the firm and their actual implementation on the level of the individual employee.Design/methodology/approachWe draw on two complementary data sets. These are the German Linked Personnel Panel (LPP), which combines firm-based information with information provided by several of those employees, and the German Socio-Economic Panel (SOEP), which is a representative longitudinal study of persons living in Germany.FindingsWe find that works councils tend to promote rather than restrict PA. Employees working in establishments with a works council are more likely to face a formal PA procedure. Works councils also act as a transmission institution for the actual use of an existing PA system – i.e. among the firms that claim to implement PA for all their employees, the likelihood of their employees actually having regular appraisals is substantially larger when works councils are in place. Moreover, the existence of works councils is positively related particularly to PA systems, which affects bonus payments.Research limitations/implicationsWe contribute to the understanding of the work of works councils in firms. In more general, we shed light to the relation of industrial relations and human resource management in firms.Practical implicationsThis result hints at a higher acceptance of PA systems in firms with works councils. It seems likely that the stronger formalization of such systems necessitated by codetermination laws increases the likelihood of supervisors consistently carrying out such appraisals.Originality/valueWe are the first who complement the analysis of the existence of HR practices (PA system) with its actual use for employees.

Employee performance appraisals

2019 ◽  
Vol 27 (5) ◽  
pp. 38-40
Keyword(s):  
Employee Performance ◽  
Performance Appraisals ◽  
Performance Ratings ◽  
Content Type ◽  
The Social ◽  
Pertinent Information ◽  
And Performance ◽  
The Individual ◽  
The Relationship ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Traditional ritualistic annual appraisals are no longer favored, with many companies loosening the relationship between performance ratings and pay. The social and psychological aspects of appraisals are often overlooked. A balance of informal and formal processes is important, with continual feedback and dialogue. The skillset of managers is key to ensuring employees feel satisfied with the process and view outcomes as being fair. A good employment relationship thus leads to increased employee cooperation and performance, and increased outcomes for both the individual and the organization. Originality The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

scholarly journals Works Councils and Performance Appraisals

2019 ◽  
Author(s):  
Christian Grund ◽  
Dirk Sliwka ◽  
Krystina Titz
Keyword(s):  
Performance Appraisals ◽  
Works Councils ◽  
And Performance

The development of innovations in organizations: the role of creative energy fields

Kybernetes ◽  
2015 ◽  
Vol 44 (1) ◽  
pp. 89-106 ◽  
Author(s):  
Jon-Arild Johannessen ◽  
Hugo Skaalsvik
Keyword(s):  
Global Economy ◽  
Content Type ◽  
Energy Field ◽  
Innovation Research ◽  
Individual Enterprise ◽  
New Ideas ◽  
Enterprise Level ◽  
And Performance ◽  
The Individual ◽  
Practical Implications

Purpose – One problem that many organisations face today in the global economy is that too few ideas are turned into innovations. The purpose of this paper is to show how innovations in organisations may be obtained by means of creative energy fields. Design/methodology/approach – The design employed in the research represents a holistic, change oriented approach to innovation, and the methodology is conceptual where an analytical model is used. Findings – The paper provides arguments that organisations need to develop creative energy fields in order to enhance their innovative capacity and performance. In the paper the construct creative energy field is conceptualised as “a spot in an organisation where a Group of creative individuals collaborate and work together in order to bring to surface new ideas which may fuel innovation processes and Development in organisations”. The paper shows that creative energy fields are influenced by five distinct components; those of making a clear purpose, planning after the results have become apparant, an organisation’s rule breakers, drawing a map that changes the landscape, and igniting the flame of innovation. Furthermore, the findings encompass three conditions which need to be present in an organisation in order to make creative energy fields work. Research limitations/implications – The carried out focuses on the individual organisation which aims to enhance innovation performance. Practical implications – In relation to practical implications, the paper shows, in particular, how an organisation may move into areas of innovation by means of a Lego system of organising. Originality/value – To the authors’ knowledge, the creation and use of a novel construct, that of creative energy fields, represents newness and originality in innovation research at the level of the individual enterprise. Furthermore, the paper contributes to the extant management knowledge of innovation by showing how a Lego system of organising may foster innovation at the enterprise level.

Creating the collective mind through virtual mirroring based learning

2018 ◽  
Vol 32 (3) ◽  
pp. 4-7
Author(s):  
Peter Gloor ◽  
Kai Fischbach ◽  
Julia Gluesing ◽  
Ken Riopelle ◽  
Detlef Schoder
Keyword(s):  
Call Center ◽  
Quantum Physics ◽  
Content Type ◽  
Guiding Principle ◽  
Individual Privacy ◽  
Sales Forecasts ◽  
Geographical Maps ◽  
And Performance ◽  
The Individual ◽  
E Mail

Purpose The purpose of this paper is to show that virtual mirroring-based learning allows members of an organization to see how they communicate with others in a visual way, by applying principles of “social quantum physics” (empathy, entanglement, reflect, reboot), to become better communicators and build a shared “DNA” within their organization. Design/methodology/approach E-mail based social network analysis creates virtual maps of communication – social landscapes – of organizations, similar to Google Maps, which creates geographical maps of a person’s surroundings. Findings Applying virtual mirroring-based learning at various mulitnational firms has significantly increased their organizational efficiency and performance, for instance increasing customer satisfaction by 18 per cent in a large services organization, increasing retention, making sales forecasts, and improving call center employee satisfaction. Research limitations/implications To address concerns of individual privacy, the guiding principle is to give individual information to the individual and provide aggregated anonymized information to management. Originality/value Virtual mirroring-based learning offers a unique way of creating collective awareness within an organization by empowering the individual to take corrective action aligned with collective action, and improves their own communication behavior through analyzing and visualizing their e-mail archive in novel ways, while giving strategic insight to management and improving organizational culture.

Trait emotional intelligence and job performance evaluations: evidence from self, manager, team and peer ratings

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Adrian Furnham ◽  
Luke Treglown ◽  
Daria Topic
Keyword(s):  
Emotional Intelligence ◽  
Job Performance ◽  
Structural Equation ◽  
Performance Appraisals ◽  
Performance Evaluations ◽  
Trait Emotional Intelligence ◽  
Peer Ratings ◽  
Content Type ◽  
And Performance ◽  
The Relationship

Purpose The study aims to look at whether trait emotional intelligence (EI) was related to the job performance level of a manager, their immediate team and their peers. Design/methodology/approach This study looked at the relationship between trait EI and performance appraisals, as evaluated by the person themselves, their peers, manager and team. Trait EI facets of 903 employees were compared to evaluated performance appraisals of the different groups four months later. Findings All 15 of the correlations (20 < r < 0.42) between the emotional intelligence facets and self-ratings were significantly positive whilst for managers 10, peers 6 and team only 4 were significant, though all were positive. In line with affective primacy theory, structural equation modelling revealed performance was rated higher by non-manager colleagues when employees exhibited traits associated with positive interpersonal interactions. Originality/value There are very few studies using multi-source ratings to explore the consequences of EI on a manager’s team and peers.

Wage-setting practices in the metalworking sector in Greece

2020 ◽  
Vol 42 (6) ◽  
pp. 1441-1463
Author(s):  
Daphne Nicolitsas
Keyword(s):  
Market Competition ◽  
Industrial Relations ◽  
Product Market ◽  
Structural Features ◽  
Collective Agreement ◽  
Wage Setting ◽  
Firm Level ◽  
Content Type ◽  
Level Information ◽  
And Performance

PurposeThe paper aims to link product market features in the Greek metal processing sector to the wage-setting practices followed therein.Design/methodology/approachAggregate business structural statistics are used to document the product market structure features while information from a rich sectoral collective agreement database, covering a number of sectors of the Greek economy, is used for the wage-setting practices. The approach is, in general, descriptive and discursive with the use of some regression analysis.FindingsThe main findings of the paper include: first, the metal sector as a whole is heterogeneous in terms of its structural/productive features; second, the type of collective agreements followed in the subsectors of the metal sector appear related to the structural features of the subsectors; third, negotiated wages appear binding for subsectors facing less product market competition; and finally, the ability to opt out of the sectoral agreement and sign firm-level agreements during the recent crisis in Greece was used mainly by firms suffering accounting losses.Research limitations/implicationsThe research results are limited by the absence of detailed firm-level information both on the actual wages paid and on the exact industrial relations practices in the workplace.Originality/valueIn view of the changes taking place in industrial relations in general and collective bargaining in particular, the issue of the homogeneity – in terms of structure and performance – of individual sectors, sets the question of whether one size (agreement) fits all and consequently whether extensions of agreements to whole sectors are advisable. This is the spirit in which the paper is written. The originality is linked both to the issue addressed but also to the use of the detailed collective labour agreements information and its association with product market features.

Tracking the Covid zones through geo-fencing technique

2020 ◽  
Vol 16 (5) ◽  
pp. 409-417
Author(s):  
Anto Arockia Rosaline R. ◽  
Lalitha R. ◽  
Hariharan G. ◽  
Lokesh N.
Keyword(s):  
Human Life ◽  
Modern Technology ◽  
Automated System ◽  
Data Sets ◽  
Privacy Concern ◽  
Security Measures ◽  
Content Type ◽  
Alert Message ◽  
The Government ◽  
The Individual

Purpose Because of the outbreak of Covid 19, the entire world is thinking of new strategies, preventive measures to safeguard the human life from the widespread of the pandemic. The areas where people are affected are marked as containment zones and people are not allowed to exit out of those areas. Similarly, new people are not allowed to enter inside those areas. Hence, the purpose of this paper is to propose a methodology to track the Covid zones, to enhance and tighten the security measures. A geo-fence is created for the containment zone. The person who enters or exits out of that particular zone will be monitored and alert message will be sent to that person’s mobile. Design/methodology/approach After tracking the location of a suspicious individual, the geo-fenced layer is mapped in the area and then the virtual perimeter is used for further trapping process. This geo-fenced layer can be viewed by the citizens as soon as it is updated by the Covid monitoring team. The geo-fencing is a concept of building a virtual perimeter area. This virtual perimeter monitoring system helps in monitoring the containment zones effectively. It reduces operational costs by using an automated system based on wireless infrastructure. It also alerts the authorities immediately to catch the violators. Thus, it helps to speed up the process of inspecting the containment zones and monitoring the individuals who violate the rules given by government. Findings The proposed methodologies will be an effective way to track the Covid’s communal spread. But the workflow of the system demands the required data sets and permission in legal manner to set up the environment that maintains the constitutional law and order in practice. The application developed was a prototype to display how it works if the required data sets are provided by the government. There are several tracking models that are released across the world such as Aarogya setu (India), Trace together (Singapore) and Hagmen (Israel). All these models are based on Bluetooth proximity identification; though Bluetooth proximity identification is helpful for high range in a short distance, the privacy concern is debatable one. Using modern technology, it is so easy to crack the individual gadgets and with Bluetooth enabling it makes things even worse. Thus, it is important to maintain the tracking a safer and secure one, and another issue with those Bluetooth-based applications is that tracking can be done only if the user enabled the Bluetooth option, if not the entire functioning would become a mess. The proposed methodology of tracking without Bluetooth will ensure data security also. Originality/value This was developed as a project by our third-year students of the Department of Information Technology of our college.

A classification approach based on variable precision rough sets and cluster validity index function

2014 ◽  
Vol 31 (8) ◽  
pp. 1778-1789
Author(s):  
Hongkang Lin
Keyword(s):  
Optimal Number ◽  
Data Sets ◽  
Cluster Validity ◽  
Cluster Validity Index ◽  
Index Method ◽  
Data Set ◽  
Content Type ◽  
The Individual ◽  
Variable Precision Rough Sets ◽  
Optimal Number Of Clusters

Purpose – The clustering/classification method proposed in this study, designated as the PFV-index method, provides the means to solve the following problems for a data set characterized by imprecision and uncertainty: first, discretizing the continuous values of all the individual attributes within a data set; second, evaluating the optimality of the discretization results; third, determining the optimal number of clusters per attribute; and fourth, improving the classification accuracy (CA) of data sets characterized by uncertainty. The paper aims to discuss these issues. Design/methodology/approach – The proposed method for the solution of the clustering/classifying problem, designated as PFV-index method, combines a particle swarm optimization algorithm, fuzzy C-means method, variable precision rough sets theory, and a new cluster validity index function. Findings – This method could cluster the values of the individual attributes within the data set and achieves both the optimal number of clusters and the optimal CA. Originality/value – The validity of the proposed approach is investigated by comparing the classification results obtained for UCI data sets with those obtained by supervised classification BPNN, decision-tree methods.

The role of compliance for organisational change

2018 ◽  
Vol 31 (2) ◽  
pp. 334-351 ◽  
Author(s):  
Ronald Busse ◽  
Ufuk Doganer
Keyword(s):  
Qualitative Methodology ◽  
Qualitative Content Analysis ◽  
Organisational Change ◽  
Future Research ◽  
Content Type ◽  
Lively Debate ◽  
And Performance ◽  
The Individual ◽  
Depth Interviews

Purpose Fuelled by the latest scandals at Siemens, VW or Walmart, there is a lively debate on the role of compliance and ethics programmes. Unlike large corporations, small and medium-sized enterprises (SMEs) arguably tend to underestimate their significance and lag behind. Hence, the purpose of this paper is to shed light on the process of introducing compliance codes and its effects on employee acceptance and performance. Design/methodology/approach In line with the qualitative methodology, the authors conducted 12 in-depth interviews with German SME employees which the authors evaluated with the qualitative content analysis. Findings As for the major contribution, results indicate the emergence of a lack of understanding, anger, anxiety and operational performance losses – both at the individual and the corporate level – especially when employees feel uninvolved in the initial introduction stadium. Originality/value Practicing managers may benefit from the recommendation to facilitate staff involvement at earlier stages. As for theory advancement, the authors draw on Kotter’s (2007) long surviving “Eight Steps Change Management Model” and find significant support for shifting the spotlight of attention towards the first four phases. The authors discuss the original value of the research, admit limitations and illuminate some promising future research trajectories.

scholarly journals Malicious web domain identification using online credibility and performance data by considering the class imbalance issue

2019 ◽  
Vol 119 (3) ◽  
pp. 676-696 ◽  
Author(s):  
Zhongyi Hu ◽  
Raymond Chiong ◽  
Ilung Pranata ◽  
Yukun Bao ◽  
Yuqing Lin
Keyword(s):  
Machine Learning ◽  
Class Imbalance ◽  
Performance Data ◽  
Machine Learning Techniques ◽  
Data Sets ◽  
Real World Data ◽  
Content Type ◽  
Domain Identification ◽  
Learning Techniques ◽  
And Performance

Purpose Malicious web domain identification is of significant importance to the security protection of internet users. With online credibility and performance data, the purpose of this paper to investigate the use of machine learning techniques for malicious web domain identification by considering the class imbalance issue (i.e. there are more benign web domains than malicious ones). Design/methodology/approach The authors propose an integrated resampling approach to handle class imbalance by combining the synthetic minority oversampling technique (SMOTE) and particle swarm optimisation (PSO), a population-based meta-heuristic algorithm. The authors use the SMOTE for oversampling and PSO for undersampling. Findings By applying eight well-known machine learning classifiers, the proposed integrated resampling approach is comprehensively examined using several imbalanced web domain data sets with different imbalance ratios. Compared to five other well-known resampling approaches, experimental results confirm that the proposed approach is highly effective. Practical implications This study not only inspires the practical use of online credibility and performance data for identifying malicious web domains but also provides an effective resampling approach for handling the class imbalance issue in the area of malicious web domain identification. Originality/value Online credibility and performance data are applied to build malicious web domain identification models using machine learning techniques. An integrated resampling approach is proposed to address the class imbalance issue. The performance of the proposed approach is confirmed based on real-world data sets with different imbalance ratios.

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