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There are different types of non-profit organisations (NPOs) characterised by the different extents of their volunteer management practices. In addition, the use of volunteer work measurement tools is infrequent among these organisations, especially in contexts where NPOs face no obligations or standard practices in this area, such as in Italy. The literature has stated that volunteer programmes and activities are effective if a NPO is highly structured and employs good volunteer management practices and that the measurement of volunteer work may increase the effectiveness of such programmes; this is frequent, for instance, in US NPOs. However, what would occur if a NPO introduces the measurement of volunteer work in a context where volunteer management is not highly structured, such as in Italy?

To study this topic, we adopt the quasi-experimental approach to examine six Italian voluntary organisations (VOs) based in Abruzzo. The treatment consists of the gradual introduction of volunteer work measurement tools to the managers and volunteers who work for the selected organisations, as well as the observation of the early impact of this treatment on the effectiveness of volunteer programmes and activities. This paper aims to discuss the issue of the implementation of measurement tools for effectively managing volunteer services in two different contexts: Italian and US NPOs.

Our findings have practical implications, especially with regard to the management of relatively unstructured volunteer organisations that would like to introduce new tools of measurement but do not have the necessary skills to do so. We also wish to show in this work how some organisations are implementing these tools and highlight the initial effects produced by this implementation process.

This study is innovative, particularly for contexts in which there are no obligations and customs with regard to the measurement of volunteer work.

The emergence of social entrepreneurship, since its nascent stage, brought to light the imminent need to make the social value creating models workable by measuring the value created by them. This study reviews the existing literature from the past two decades to establish the role of accounting techniques in the measurement of social value. Nine databases were searched with the word combination “SROI” and “social enterprise” to determine the number of publications related to the field and the trend in its publishing. A classification of themes from selected studies was conducted to establish the direction of research in this context. Social return on investment (SROI) has been tested as a compatible measure and its implementation in various scenarios produced results; however, the inadequacy of its outcomes gives rise to the question whether any measurement tool can be appropriate for social value measurement because there is a need to justify the measurement of social value. The current trends call for further research in the field of customized measurement tools for the measurement of social value.

A growing body of research outlines how to best facilitate and ensure methodological rigor when using dictionary-based computerized text analyses (DBCTA) in organizational research. However, these best practices are currently scattered across several methodological and empirical manuscripts, making it difficult for scholars new to the technique to implement DBCTA in their own research. To better equip researchers looking to leverage this technique, this methodological report consolidates current best practices for applying DBCTA into a single, practical guide. In doing so, we provide direction regarding how to make key design decisions and identify valuable resources to help researchers from the beginning of the research process through final publication. Consequently, we advance DBCTA methods research by providing a one-stop reference for novices and experts alike concerning current best practices and available resources.

Although strategic changes and management control systems are relevant, there is the need for an evolution in the tools of performance measurement, analysis and control to understand the ability of the firms, at first, to face environmental variability and, then, to achieve objectives through the strategic change management. This study was dedicated to the issue of what measures are relevant during the strategic change process. It also proposes a multidimensional control system for strategic changes. The framework is based on: the literature review and analysis about strategic change, change management and performance measurement; a two-stage empirical research. Overall, the proposed control system can help firms in managing strategic changes.

The globalisation of markets, emerging concepts of sustainable development, and circular economy have defined the boundaries within which organisations must compete and address the needs of key stakeholders. As circumstances change, boundaries are often replaced by the relationships between companies and the communities they serve. Consequently, strategy has become a central aspect of sustainable leadership and the foundation for implementing strategic management in a dynamic system of relationships. Every company is born and grows within social and economic ecosystems. Drawing on the metaphor of biology, ecosystems are described as dynamic interconnections among various elements that influence and foster entrepreneurship. Interconnections between players (such as marketplaces, organisations, governments, and universities) create a flow of expertise, abilities, knowledge, experience, and tangible resources. Economic and social ecosystems involve various actors and components that continuously coexist and interact, leading to the creation of numerous mutual relationships. Consequently, it is crucial for managers to gain a comprehensive understanding of the internal and external environments. Various decision-making tools and strategies can be used to achieve this goal. These tools were developed to assist managers, researchers, and consultants in making informed decisions under complex scenarios. This chapter presents several decision-making strategies and tools, including the Boston Consulting Group (BCG) matrix, General Electric (GE) matrix, Balanced Scorecard (BSC), PEST, PESTEL analysis, and SWOT analysis.

Social entrepreneurship (SE) has become the engine propelling the rapid expansion of the social/environmental sector; thus, the authors need to examine it from different perspectives. First of all, it is vital to understand the concept of SE in an attempt to understand the most basic question: what makes an entrepreneurship social and what makes a social initiative a SE? Second, it is important to know the tools to develop a SE such as the business model canvas and design thinking, among others, which are adapted to SE, as well as tools that are unique to the sector such as impact measurement and impact investing. Third, aspiring SEs have to understand the current ecosystem in order to take advantage of the enormous support that the SE ecosystem has to offer thanks to global players such as Ashoka, the Schwab, and Skoll foundations as well as prominent Latin American players such as New Ventures Group, ANDE, and collective company-driven initiatives such as Momentum led by BBVA Bank that have supported more than 10,000 SE all over the world. Finally, the authors will introduce the case of low-income house builders Hábtiva and a student challenge to ignite aspiring social entrepreneurs. This chapter provides a glimpse of the field SE by focusing in its importance in our current challenging world, its definition, some tools used in the field, the current ecosystem of SE, how to measure social impact, and some cases and challenges.

Adapting to external and internal transformations is a difficult task that managers and scholars must face while attempting to keep their organisations alive and well-established. This chapter explores the various decision-making tools that can assist practitioners and scholars to improve their understanding of the external scenario to determine the contemporary appropriateness of these approaches for analysing the environment and their implications for various types of organisations. The chapter investigates the barriers and drivers of these methods and proposes existing alternative paradigms created by academics and practitioners to analyse and comprehend the context. It demonstrates how these decision-making tools can be implemented by providing examples and case studies.

The aim of this chapter is to highlight the role of organizational reflectiveness as a possible enabler for innovation. In order to support the process of innovation, we need to understand organizational learning on a more detailed level, including reflection as an elemental sub-process in experiential, transformational, and action learning.

We present a tool and preliminary empirical findings for measuring an organization’s level of reflectiveness. We also provide some preliminary empirical results regarding whether reflectivity results in the generation of new innovations relating to work practices and processes.

The chapter fills two research gaps, and in doing so contributes to measuring and controlling organizational learning and innovation activities. First, we complement the existing conceptualization of reflective practice by utilizing the management control system (MCS) (Malmi & Brown, 2008) in the analysis of reflectiveness on the organization level. Finally, in the conclusion, we present reflective practice as a potential concept and practical tool for enhancing the interactive use of MCS. The interactive use of MCS has been recognized for its potential in boosting learning, creativity, and innovations in certain contexts (Davila, Foster, & Oyon, 2009), but so far the definitions for interactive use remain descriptive and varied among management accounting theorists.

The approach in this study is predominantly conceptual, with empirical and exploratory findings derived from measuring the level of reflectiveness in three organizations. The study enhances the understanding of management control based on the theoretical notion of multilevel reflection on a practice-based level. Empirically, reflective practices are often studied as a learning phenomenon on the individual and collective levels. However, such an approach generally does not incorporate managerial pragmatism regarding the causes of institutionalized learning or the means of managerial control for enabling reflection and, in consequence, innovations.

This chapter provides an overview of the Department of Defense (DoD) laboratory structure to help equipment designers, modelers, and manufacturers determine where research, testing programs, or relevant findings can be found. The chapter includes a discussion of the performance measures and metrics typically used in DoD laboratories and concludes by considering the current state-of-the-art as well as the state-of-the-possible for human performance measurement.