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Social enterprises (SEs), part of the third sector, are hybrid organizations combining the pursuit of social scopes with commercial business solutions. In seeking for social value, they pair for-profit and non-profit features, thereby compensating for shortcomings of both the public sector and the commercial market. Therefore, the performance management of such organizations assumes a crucial relevance. Among the available tools, the balanced scorecard (BSC) aims to capture performance multidimensionality, at the same time fostering legitimacy towards stakeholders.

In general terms, the BSC has the limit to follow a linear and static logic of construction and functioning. For this reason, scholars combine it with system dynamics (SD) to create dynamic balanced scorecards (DBSCs). However, literature seems to devote scarce attention to the adoption of such analytic tools in the third sector, particularly in SEs. This chapter wants to contribute to bridging this gap by proposing a tailored application in the context of a social cooperative, active in the clothing recycle and in the re-integration of disadvantaged social categories. By referring to previous literature about DBSC, two modelling strategies are identified: the BSC-driven and the SD-driven. The latter, based on inductive reasoning, is the one privileged for the study because of its wider flexibility. The modelling outputs consider different perspectives than the ones within traditional BSCs, contain elements of circular causality and show how financial and non-financial performances interplay and co-determine each other. Insights from the proposed model can be useful to support both decision-making and stakeholder engagement.

This paper presents an argument that it is appropriate to develop a model of project management (PM) performance from models for assessing quality management. The paper presents a model, labelled the project management performance assessment (PMPA) model, based upon the EFQM business excellence model. The model proposes six criteria for assessing PM performance: project management leadership; project management staff; project management policy and strategy; project management partnerships and resources; project life cycle management processes; and project management key performance indicators. Using data from an empirical study of PM practice in UK organisations, the paper uses PMPA as a framework to explore variations in the character of PM performance. It is concluded that there are variations in attitudes and behaviour in each of these areas and that these variations may be used to help measure levels of PM performance.

Appraisal is recognised as a crucial step towards the development of human resources and their performance. This article proposes an integrated, innovative model for managing the performance appraisal process of full‐time faculty members at the Palestinian public universities in the West Bank. The integrated model SOFIA is a result of an empirical study of the impact of performance appraisal process on faculty members in five major universities. In constructing this model, several issues including setting a clear institution’s strategy, participation in goal setting, coaching, two‐way communication between faculty members and their superiors, feedback, developing and rewarding faculty members have been emphasised. Also, it is recommended that external factors that may influence faculty members’ performance, appraisers’ training and top management support and ownership of the process must be seriously considered. The obstacles to the application of the proposed performance model and possible solutions have been explored. In light of the above, relevant conclusions have been reached.

This paper aims to present strategic performance management modeling of the Indian automobile manufacturing enterprises. This will help to understand the hierarchical structure and linkages of different strategic factors related to enterprise performance in a better way. Automobile manufacturing industry is one of the top industries in India. It is of paramount importance to identify the strategic factors and their linkages to understand the strategic performance management issues better.

Flexible strategy game-card, an evolving performance management framework, has been taken as the basis for the development of a strategic performance management model. Thematic content analysis is used to analyze semi-structured interviews and for identifying strategic factors related to performance. Total interpretive structural modeling (TISM) is used to develop the hierarchical structure of these performance strategic factors. Case-lets and statistical analysis are used to further validate these models.

The study proposes a strategic performance management model for Indian automobile enterprises that can be considered as a conceptual framework which helps to identify the leading and lagging factors of performance. This can be considered as an exploratory study for conceptualization and can be further validated through empirical testing.

The research methodology adopted here gives a guideline to researchers for conducting an exploratory study where they can identify the factors/variables of interest through semi-structured interviews and thematic content analysis. The TISM helps to develop the poorly articulated mental model in a well-structured hierarchical form, which would help to get more insights in relation to performance.

The study fills the gaps by addressing the issue of performance in the Indian context by identifying strategic performance factors for automobile enterprises. There is an attempt to demonstrate the application of an evolving performance management framework, i.e. flexible strategy game-card. The methodological rigor and application of mixed methods adds value to the knowledge base by providing a mechanism to conduct an exploratory study for the area of interest.

Performance management is a key issue in the construction industry as a result of complex internal and external factors. Large construction organizations are implementing performance management models to improve business processes, products and management of people to facilitate continuous improvement. This study investigates the implementation of performance management models in large construction engineering organizations. First, a brief review of the drive for performance improvement and the strategic considerations for the adoption of performance management models is carried out with specific reference to the Balanced Scorecard and the EFQM Excellence Model. Second, using case studies of large construction engineering organizations, the findings from the implementation of performance management models are analysed and discussed. It is shown that whilst progress has been made in the implementation of performance management models in large construction organizations, significant challenges remained at the planning, deployment and assessment and review stages. This includes the motivation for performance management, leadership and resources, communication mechanisms, measurement and data collection techniques and the role of knowledge management. Performance management models provide a basis to develop strategy for sustaining longterm business objectives, and more construction organizations will adopt such innovative tools to facilitate continuous improvement, as the business benefits become clear.

This study uses structural equation modeling to test a model of the impact of human resources management practices on perceived organizational performance, on a large sample of European companies. The influences of competitive intensity, industry attractiveness, and strategic management are considered in the model, and their direct and indirect influence on organizational performance is assessed. The model produced an adequate fit, and results show that strategic management does influence human resource practices. Human resource flexibility practices and performance management have a positive impact on organizational performance, while training was not found to have a significant impact. A direct positive impact of competitive intensity and industry attractiveness on strategic management was supported by the data, as well as a direct positive effect of industry attractiveness on perceived organizational performance.

The study aims to expand the literature on evaluating the performance of professionals and academic libraries, rationalizing management and providing reliable services to the academic community. The performance assessment model covers the four components (management competence, professional experience, financial add/projects and library services) in the context of the knowledge management model.

Based on quantitative data, the study defines a set of assumptions for testing the four components of performance evaluation within a knowledge management framework to develop appropriate and robust models for improving employee performance and library services. The structural equation model has been applied to sample data from 339 administrative librarians at 190 universities in Pakistan.

Statistical evidence confirms that the applicability of the proposed performance-based model enhances management competence, makes accurate decisions, develops professional skills and strengthens human resource organization and knowledge management techniques in developing the efficiency of academic libraries.

In the long term, academic leaders and policymakers value investment in the professional development of top library management as they participate in the decision-making process. Organizing training for service employees, supporting innovative research projects and providing library technology infrastructures ultimately improve academic performance and research when integrated into the knowledge management model.

So far, comprehensive literature on performance and knowledge management has been published separately. However, based on the key data collected by senior library administrators using the structured research questionnaire, the comprehensive performance evaluation research based on a knowledge management model is innovative to improve academic library services and close the literature gap.

The purpose of this study is to illustrate the use of the ad hoc methodology of causal mapping to support the process of quantifying the financial returns related to sustainability investments. The present study uses two methods to build causal maps, that is aggregate and congregate mapping, in order to capture managerial cognition and derive a model that reflects companies’ competitive advantages. The resulting causal map is a prerequisite and serves as a building block for the design of the organisation’s performance management systems for sustainability.

This study relies on qualitative, deductive research undertaken at the leading international pharmaceutical company Novo Nordisk. This chapter presents the results of a longitudinal study developed through an action research approach conducted at the Company over a four-year period.

This study illustrates how the described approach for developing causal maps can facilitate the elicitation of managerial tacit knowledge and the consequent identification of indicators to quantify the investments in sustainability.

This chapter proves the relevance of causal mapping as a comprehensive, articulated basis for developing and improving organisations’ strategic performance measurement systems (SPMSs).

This study’s main contribution is the triangulation of multiple qualitative methods to enhance the reliability of causal maps. This innovative approach supports the use of causal mapping to extract managerial tacit knowledge in order to identify indicators for the evaluation of investments in sustainability.

This study aims to develop a framework for applying performance management principles to implementing a pluralistic model of scholarly impact in business schools to increase the value and relevance scholarly research to multiple stakeholder groups.

Performance management principles were studied with case study data of scholarly impact that included bibliographic measures and altmetrics. An analytical model was built for a focal business school that provided benchmarks for managing scholarly impact by using data from three peer schools.

Bibliographic, scholarly output measures and altmetrics were consistent across the focal school and peer schools, thereby providing a solid foundation for establishing performance benchmarks for annual performance reviews, promotion and tenure decisions and organizational impact goals.

This paper provides guidance for designing, building and implementing performance management systems to foster scholarly impact.

This paper integrates pluralistic impact models and performance management systems to build faculty expertise and align it with multiple impact domains.