Ten Years After: The Development of a University Staff Pay System—Reflections and the Lessons Learned

2019 ◽  
Vol 51 (1) ◽  
pp. 27-43
Author(s):  
Steven L. Thomas ◽  
Lyn M. McKenzie
Keyword(s):  
Performance Management ◽  
Human Resource ◽  
Public University ◽  
Lessons Learned ◽  
Management Systems ◽  
Important Process ◽  
University Staff ◽  
Performance Management Systems ◽  
Pay System ◽  
And Performance

This article documents the development and implementation of a new staff pay system for a large, comprehensive, public university. It discusses decisions that were made, alternatives chosen, important process issues and outcomes, as a guide to administrators and human resource staff into what can be expected as new job structures, pay and performance management systems are developed. The authors review program successes and remaining challenges from the perspective of 10 years after system implementation.

Performance management in public universities: overcoming bureaucracy

2018 ◽  
Vol 67 (4) ◽  
pp. 736-753 ◽  
Author(s):  
Nunzio Angiola ◽  
Piervito Bianchi ◽  
Letizia Damato
Keyword(s):  
Performance Management ◽  
Public Universities ◽  
Organizational Factors ◽  
Public University ◽  
Management Systems ◽  
Management Tools ◽  
Performance Levels ◽  
Content Type ◽  
Performance Management Systems ◽  
Adoption And Implementation

Purpose Considering a micro performance perspective, the purpose of this paper is to analyze whether and to what extent the adoption of better performance management systems could improve the performance levels of a public university. Design/methodology/approach With reference to a period of four years (2011-2014), the quality of performance management systems of 29 Italian universities (response rate: 48 percent) was examined and the possible effects on performance levels of these institutions were analyzed by means of statistical methodologies (multiple regression analysis). Outcome indicators were considered. Findings The findings indicate the need to go further “measurement,” and to take care of performance “management,” especially in complex organizations as universities, where academicians identify themselves more with their professions than with the organization and where technicians and administrative employees might look at the performance-based reform with “bureaucratic eyes.” A fruitful cooperation between the professional soul and the bureaucratic one is paramount. Originality/value Studies which analyze organizational factors that could affect the adoption and implementation of performance management systems are rare, and use in prevalence qualitative methods or refer to machine bureaucracies, not many to professional ones as public universities. Moreover, the performance management literature in a public university context deepens the topic of the selection of KPIs and the focus is mainly on macro performance or on management tools for gathering and analyzing performance measures.

scholarly journals Supervisors and Performance Management Systems

2020 ◽  
Vol 128 (6) ◽  
pp. 2123-2187 ◽  
Author(s):  
Anders Frederiksen ◽  
Lisa B. Kahn ◽  
Fabian Lange
Keyword(s):  
Performance Management ◽  
Management Systems ◽  
Performance Management Systems ◽  
And Performance

Aligning Strategy and Performance Management Systems

2016 ◽  
Vol 30 (1) ◽  
pp. 3-26 ◽  
Author(s):  
Rui Vieira ◽  
Brendan O’Dwyer ◽  
Roman Schneider
Keyword(s):  
Performance Management ◽  
Balanced Scorecard ◽  
Wind Farm ◽  
Management Systems ◽  
Management Decision ◽  
Performance Management Systems ◽  
Sustainable Performance ◽  
Management Decision Making ◽  
And Performance ◽  
Environmental Goals

This article presents a case study examining the problems and possibilities of performance management in a wind-farm company. Drawing on Ferreira and Otley’s recently developed performance management systems (PMSs) framework, the study demonstrates how the framework facilitates in-depth, holistic, and critical evaluations of existing PMSs, and how these evaluations can drive the development of revised PMSs that balance economic, social, and environmental goals. This integrated focus on PMS evaluation and design is unique as earlier work seeking to develop systems to promote and measure sustainable performance tends to establish them in isolation from informed evaluations of existing systems. Drawing on the case analysis, the article proposes a form of “sustainable balanced scorecard” to enable a company to streamline its management decision making. It also offers guidance for companies on the development of PMSs that can contribute to their survival and growth in a wind energy sector characterized by increasing competition.

scholarly journals A Hybrid Human-Data Methodology for the Conception of Operational Performance Management Systems

2021 ◽  
Author(s):  
Diogo Ginjo Jantarada ◽  
Antonio Grilo
Keyword(s):  
Performance Management ◽  
Business Performance ◽  
Design Thinking ◽  
Operational Performance ◽  
Management Systems ◽  
Extensive Literature ◽  
Performance Management Systems ◽  
Baggage Handling ◽  
And Performance

To excel in the overall business performance, daily processes and activities connected to produce a good or service need to be outperformed. Even though there is extensive literature on performance management and performance management systems, there is still no consensus over the conceptual model of such systems, in what is designated as Operational Performance Management Systems (OPMS). This chapter proposes a new approach to conceive feasible and desirable OPMS tools to assist managers on controlling and responding to operational needs, by combining Design Thinking (DT) and Data Analytics (DA), that provide holistic and deep business knowledge, as well as a data-driven based management. The authors conduct an empirical application through a case study within the context of a European airport’s Baggage Handling System (BHS). The case study procedure follows the proposed methodology’s stages, where the authors construct the problem space with a wide array of collected data, along with the solution exploration and refinement.

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