Social innovation is the renewal of labour organisation that leads to improved performance by the organisation. The innovations that are promoted under the heading of social innovation often require substantive behavioural change on the part of employees and managers. However, in many organisations there are hidden, often unconscious forces at work that make it difficult to implement these new ways of working. In this paper Maslow‟s hierarchy of needs and transactional analysis theory are used to identify possible barriers for the implementation of social innovation. A case study is presented to show how potential barriers can be identified.
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Insider ethnographic analysis is used to analyze change processes in an engineering department. Distributed leadership theory is used as conceptual framework.
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In many fields within management and organizational literature there is considerable debate and controversy about key theoretical concepts and their definitions and meanings. Systematic metaphor analysis can be a useful approach to study the underlying conceptualizations that give rise to these controversies and putting them in perspective. It can help identify the different ways a theoretical concept is structured and given meaning, provide insight into the way these different conceptualizations relate to each other, and show how these conceptualizations impact further theorization about the concept. This article describes the procedure for a systematic analysis of the metaphors used to conceptualize key theoretical concepts. To examine its usefulness, the authors apply the approach to the field of social capital, and in particular to the concept of ‘relationships’ in organizations. In the metaphor analysis of three seminal articles on social capital, the authors identify seven metaphoric concepts for relationships. The metaphors are illuminated as important for providing imagery that adds specific meaning in the process of authors theorizing about social capital like ‘tie’, ‘path’ and ‘bridge’. They add dynamics and controllability to the concepts by attributing an array of verbs like ‘to move between’ or ‘to use’ relationships. In addition, the metaphors allow for the attribution of specific characteristics to the concept of relationships that can be used as variables in theory construction, such as the strength of a relationship or the ‘distance’ between people. These insights are useful in exploring and reconciling differences in social capital definitions.
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Objectives Most complex healthcare interventions target a network of healthcare professionals. Social network analysis (SNA) is a powerful technique to study how social relationships within a network are established and evolve. We identified in which phases of complex healthcare intervention research SNA is used and the value of SNA for developing and evaluating complex healthcare interventions. Methods A scoping review was conducted using the Arksey and O’Malley methodological framework. We included complex healthcare intervention studies using SNA to identify the study characteristics,level of complexity of the healthcare interventions, reported strengths and limitations, and reported implications of SNA. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews 2018 was used to guide the reporting. Results Among 2466 identified studies, 40 studies were selected for analysis. At first, the results showed that SNA seems underused in evaluating complex intervention research. Second, SNA was not used in the development phase of the included studies. Third, the reported implications in the evaluation and implementation phase reflect the value of SNA in addressing the implementation and population complexity. Fourth, pathway complexity and contextual complexity of the included interventions were unclear or unable to access. Fifth, the use of a mixed methods approach was reported as a strength, as the combination and integration of a quantitative and qualitative method clearly establishes the results. Conclusion SNA is a widely applicable method that can be used in different phases of complex intervention research. SNA can be of value to disentangle and address the level of complexity of complex healthcare interventions. Furthermore, the routine use of SNA within a mixed method approach could yield actionable insights that would be useful in the transactional context of complex interventions.
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To improve people’s lives, human-computer interaction researchers are increasingly designing technological solutions based on behavior change theory, such as social comparison theory (SCT). However, how researchers operationalize such a theory as a design remains largely unclear. One way to clarify this methodological step is to clearly state which functional elements of a design are aimed at operationalizing a specific behavior change theory construct to evaluate if such aims were successful. In this article, we investigate how the operationalization of functional elements of theories and designs can be more easily conveyed. First, we present a scoping review of the literature to determine the state of operationalizations of SCT as behavior change designs. Second, we introduce a new tool to facilitate the operationalization process. We term the tool blueprints. A blueprint explicates essential functional elements of a behavior change theory by describing it in relation to necessary and sufficient building blocks incorporated in a design. We describe the process of developing a blueprint for SCT. Last, we illustrate how the blueprint can be used during the design refinement and reflection process.
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When it comes to hard to solve problems, the significance of situational knowledge construction and network coordination must not be underrated. Professional deliberation is directed toward understanding, acting and analysis. We need smart and flexible ways to direct systems information from practice to network reflection, and to guide results from network consultation to practice. This article presents a case study proposal, as follow-up to a recent dissertation about online simulation gaming for youth care network exchange (Van Haaster, 2014).
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Within recent years, Financial Credit Risk Assessment (FCRA) has become an increasingly important issue within the financial industry. Therefore, the search for features that can predict the credit risk of an organization has increased. Using multiple statistical techniques, a variance of features has been proposed. Applying a structured literature review, 258 papers have been selected. From the selected papers, 835 features have been identified. The features have been analyzed with respect to the type of feature, the information sources needed and the type of organization that applies the features. Based on the results of the analysis, the features have been plotted in the FCRA Model. The results show that most features focus on hard information from a transactional source, based on official information with a high latency. In this paper, we readdress and -present our earlier work [1]. We extended the previous research with more detailed descriptions of the related literature, findings, and results, which provides a grounded basis from which further research on FCRA can be conducted.
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Business rules play a critical role during decision making when executing business processes. Existing modelling techniques for business rules offer modellers guidelines on how to create models that are consistent, complete and syntactically correct. However, modelling guidelines that address manageability in terms of anomalies such as insertion, update and deletion are not widely available. This paper presents a normalisation procedure that provides guidelines for managing and organising business rules. The procedure is evaluated by means of an experiment based on existing case study material. Results show that the procedure is useful for minimising insertion and deletion anomalies.
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Purpose – The purpose of this study is to contribute to a better understanding of innovative forms of collaboration between different types of enterprises – aimed at scaling social impact – and address the challenges and complexities inherent to these specific types of partnerships. The particular focus is on strategic collaboration between workintegration social enterprises (WISEs) and mainstream, or for-profit enterprises (FPEs) with the shared objective to create more and better employment opportunities for disadvantaged individuals in the labour market. Design/methodology/approach – This study used a qualitative research design. The total sample consisted of 16 small- and medium-sized enterprises (both WISEs and FPEs), which were selected for their proven,business-to-business revenue model and their explicit ambition to create more inclusive jobs for disadvantaged individuals. Data collection and analysis took place between 2021 and 2023 and consisted of: semi-structured interviews with representatives of the participating enterprises to get a better understanding of the way in which current partnerships operate; and co-creative research methods to facilitate change processes – within and outside these partnerships – aimed at creating more social impact. Findings – Most collaborations between WISEs and FPEs start purely transactional, with the exchange of products or services, but once they become more familiarised with each other, the realisation of (joint) social impact becomes more significant. The ambition to further coordinate and integrate operations is prominent, but the partnership process is not without challenges and requires time, commitment and trust. So far, only few collaborations can be considered truly transformational. Originality/value – This study contributes to the discussion on strategic alliances and cross-sector collaborations by providing a conceptual framework and a practical instrument to shape strategic collaboration between social enterprises and FPEs that aim to create more social impact.
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This paper focuses on the topical and problematic area of social innovations. The aim of this paper is to develop an original approach to the allocation of social innovations, taking into account characteristics such as the degree of state participation, the scope of application, the type of initiations as well as the degree of novelty, which will be elaborated on further in this article. In order to achieve this goal, the forty-two most successful social innovations were identified and systematized. The results of this study demonstrated that 73.5% of social innovations are privately funded, most of them operating on an international level with a high degree of novelty. Moreover, 81% of all social innovations are civic initiatives. Social innovations play an important role in the growth of both developed and less developed countries alike as highlighted in our extensive analysis
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