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Administrative Sciences
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New Trends of Performance Measurement and Management in the Private...
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New Trends of Performance Measurement and Management in the Private and Public Sectors

A special issue of Administrative Sciences (ISSN 2076-3387).

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 5235

Special Issue Editors

Dr. Alberto Sardi

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Guest Editor
Department of Management, University of Turin, Corso Unione Sovietica 218 bis, Turin, Italy
Interests: performance measurement; performance management; public sector; SMEs
Special Issues, Collections and Topics in MDPI journals
Dr. Enrico Sorano

E-Mail Website
Guest Editor
Department of Management, University of Turin, Corso Unione Sovietica 218 bis, Turin, Italy
Interests: performance measurement; performance management; healthcare sector; public administration
Special Issues, Collections and Topics in MDPI journals
Dr. Guido Giovando

E-Mail Website
Guest Editor
Department of Management, University of Turin, Corso Unione Sovietica 218 bis, Turin, Italy
Interests: performance measurement; management control; business and administration; SMEs
Special Issues, Collections and Topics in MDPI journals
Dr. Vania Tradori

E-Mail Website
Guest Editor
Department of Management, University of Turin, Corso Unione Sovietica 218 bis, Turin, Italy
Interests: management control; business and administration; healthcare sector; not for profit
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The performance measurement and management systems of public and private organizations are changing in the last decade. The great changing business environment is leading innovative design to face current needs (Nudurupati et al., 2021; Sardi et al., 2022). The literature pushes for holistic, integrated and multidisciplinary performance measurement and management systems able to include numerous perspectives such as traditional financial, internal processes, customer and learning and growth perspectives, as well as economic, social and environmental sustainability perspectives.

Scholars and practitioners need guidelines to design, implement and use this system in the current scenario impacted by big data analysis, globalization, technology 4.0, new competencies, HRM, etc. (Bititci et al., 2012; Sardi et al., 2019, 2020, 2021). It requires theoretical and practical contributions (Bourne et al., 2018). To develop this guideline, we need various studies on different topics linked to performance measurement and management. This Special Issue will collect numerous contributions related to new trends in performance measurement and management:

This Special Issue will accept theoretical and practical contributions related to the public, private and not for profit sectors. 

Dr. Alberto Sardi
Dr. Enrico Sorano
Dr. Guido Giovando
Dr. Vania Tradori
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Administrative Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • performance measurement
  • performance management
  • public and private sectors

Published Papers (2 papers)

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Research

16 pages, 1656 KiB  
Article
GIANN—A Methodology for Optimizing Competitiveness Performance Assessment Models for Small and Medium-Sized Enterprises
by Jones Luís Schaefer, Paulo Roberto Tardio, Ismael Cristofer Baierle and Elpidio Oscar Benitez Nara
Adm. Sci. 2023, 13(2), 56; https://doi.org/10.3390/admsci13020056 - 10 Feb 2023
Cited by 3 | Viewed by 1567
Abstract
The adoption of models based on key performance indicators to diagnose and evaluate the competitiveness of companies has been presented as a trend in the operations’ management. These models are structured with different variables in complex interrelationships, making diagnosis and monitoring difficult due [...] Read more.
The adoption of models based on key performance indicators to diagnose and evaluate the competitiveness of companies has been presented as a trend in the operations’ management. These models are structured with different variables in complex interrelationships, making diagnosis and monitoring difficult due to the number of variables involved, which is one of the main management challenges of Small and Medium-sized Enterprises. In this sense, this article proposes the Gain Information Artificial Neural Network (GIANN) method. GIANN is a method to optimize the number of variables of assessment models for the competitiveness and operational performance of Small and Medium-sized Enterprises. GIANN is a hybrid methodology combining Multi-attribute Utility Theory with Entropy and Information Gain concepts and computational modeling through Multilayer Perceptron Artificial Neural Network. The model used in this article integrates variables such as fundamental points of view, critical success factors, and key performance indicators. GIANN was validated through a survey of managers of Small and Medium-sized Enterprises in Southern Brazil. The initial model was adjusted, reducing the number of key performance indicators by 39% while maintaining the accuracy of the results of the competitiveness measurement. With GIANN, the number of variables to be monitored decreases considerably, facilitating the management of Small and Medium-sized Enterprises. Full article
(This article belongs to the Special Issue New Trends of Performance Measurement and Management in the Private and Public Sectors)
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16 pages, 743 KiB  
Article
Supervisor Support, Self-Efficacy, and Employee Performance: The Mediating Role of Office De-Clutter
by Farida Saleem, Muhammad Imran Malik and Awais Qasim
Adm. Sci. 2022, 12(4), 177; https://doi.org/10.3390/admsci12040177 - 28 Nov 2022
Cited by 1 | Viewed by 3166
Abstract
The study aims to test the impact of social support from supervisors and self-efficacy on employee performance through office de-clutter (a mediator) in banks. During the COVID-19 pandemic, the supporting factors (social support and self-efficacy) to de-clutter for maintaining employee performance is a [...] Read more.
The study aims to test the impact of social support from supervisors and self-efficacy on employee performance through office de-clutter (a mediator) in banks. During the COVID-19 pandemic, the supporting factors (social support and self-efficacy) to de-clutter for maintaining employee performance is a novel contribution to the literature and is supported by the social exchange theory—SET. The employee’s performance can be maintained with lower levels of office clutter (de-clutter). The office clutter can be managed through the availability of managerial social support and employee self-efficacy. The impact of supervisor support and self-efficacy on employee performance is examined through the lens of the social exchange theory. A cross-sectional and quantitative study was conducted with 202 primary responses from bank employees. The responses were recorded using closed-ended questionnaires. A response rate of 73.9% was achieved. Reliability and validity were assessed using Cronbach’s alpha scores and AVE, respectively. PLS-SEM was used as a data analysis and hypotheses testing technique. The results revealed that supervisors’ social support and self-efficacy significantly and positively affect employee performance. Moreover, supervisors’ social support and self-efficacy helped in office de-clutter, further ensuring better performance. Full article
(This article belongs to the Special Issue New Trends of Performance Measurement and Management in the Private and Public Sectors)
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