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This study aims to examine the links between office types (cellular, shared-room, small and medium-sized open-plan) and employees' subjective well-being regarding cognitive and affective evaluations and the role perceived noise levels at work has on the aforementioned associations.

A survey with measures of office types, perceived noise levels at work and the investigated facets of subjective well-being (cognitive vs affective) was distributed to employees working as real estate agents in Sweden. In total, 271 useable surveys were returned and were analyzed using analyses of variance (ANOVAs) and a regression-based model mirroring a test of moderated mediation.

A significant difference was found between office types on the well-being dimension related to cognitive, but not affective, evaluations. Employees working in cellular and shared-room offices reported significantly higher ratings on this dimension than employees working in open-plan offices, and employees in medium-sized open-plan offices reported significantly lower cognitive evaluation scores than employees working in all other office types. This pattern of results was mediated by perceived noise levels at work, with employees in open-plan (vs cellular and shared-room) offices reporting less satisfactory noise perceptions and, in turn, lower well-being scores, especially regarding the cognitive (vs affective) dimension.

This is one of the first studies to compare the relative impact of office types on both cognitive and affective well-being dimensions while simultaneously testing and providing empirical support for the presumed process explaining the link between such aspects.

This chapter insists that evaluation of the process and results of cocreation is a precondition for continuous improvement and helps maintain support from external sponsors and funders. The main benefits of systematic evaluation of cocreation are learning and legitimacy rather than control and allocation. The chapter scrutinizes the two most common evaluation tools, formative and summative evaluation, and finds that they both fail to appreciate the emergent character of cocreation processes. The solution to this problem is to supplement formative and summative evaluation with developmental evaluation, which prompts the participating actors to engage in a critical interrogation of what they are doing, the reasons for doing it, and the results they achieve. Finally, the chapter explains how the commitment of developmental evaluation to using real-time data in the evaluation of change theories can be pursued through a collective impact strategy.

During the evaluation of European Capital of Culture (ECoC) Aarhus 2017, the evaluation organisation rethinkIMPACTS 2017 formulated a set of “dilemmas” capturing the main challenges arising during the design of the ECoC evaluation. This functioned as a framework for the evaluation process. This paper aims to present and discuss the relevance of the “Evaluation Dilemmas Model” as subsequently applied to the Galway 2020 ECoC programme evaluation.

The paper takes an empirical approach including auto-ethnography and interview data to document and map the dilemmas involved in undertaking an evaluation in two different European cities. Evolved via a process of practice-based research, the article addresses the development of and the arguments for the dilemmas model and considers its potential for wider applicability in the evaluation of large-scale cultural projects.

The authors conclude that the “Evaluation Dilemmas Model” is a valuable heuristic for considering the endogenous and exogenous issues in cultural evaluation.

The model developed is useful for a wide range of cultural evaluation processes including – but not limited to – European Capitals of Culture.

What has not been addressed in the academic literature is the process of evaluating ECoCs; especially how evaluators often take part in an overall process that is not just about the evaluation but also planning and delivering a project that includes stakeholder management and the development of evaluation criteria, design and methods.

Calls for the development and dissemination of evidence-based programs to support children and families have been increasing for decades, but progress has been slow. This paper aims to argue that a singular focus on evaluation has limited the ways in which science and research is incorporated into program development, and advocate instead for the use of a new concept, “scientific accompaniment,” to expand and guide program development and testing.

A heuristic is provided to guide research–practice teams in assessing the program’s developmental stage and level of evidence.

In an idealized pathway, scientific accompaniment begins early in program development, with ongoing input from both practitioners and researchers, resulting in programs that are both effective and scalable. The heuristic also provides guidance for how to “catch up” on evidence when program development and science utilization are out of sync.

While implementation models provide ideas on improving the use of evidence-based practices, social service programs suffer from a significant lack of research and evaluation. Evaluation resources are typically not used by social service program developers and collaboration with researchers happens late in program development, if at all. There are few resources or models that encourage and guide the use of science and evaluation across program development.

For the past four decades, there is no evidence of a consensus on the suitable community-based rehabilitation (CBR) evaluation methodologies. To this end, the purpose of this study is to provide a narrative review on CBR evaluations and the potential of photovoice method when used alone and when used in combination with quality of life assessment tools as CBR evaluation methodologies.

A narrative review was undertaken, but including some aspects of scoping review methodology.

Thirty-three full-text articles were included for review. Three key findings were an overview of the evolution of CBR evaluation; the use of photovoice method in CBR evaluation and the use of photovoice method in combination with quality of life assessment tools in CBR evaluation.

Photovoice methodology was found to be participatory in nature and as has the potential to elicit the experiences of persons with disabilities. However, photovoice falls short of measuring the quality of life of persons with disabilities, thus will need to be collaborated with another assessment tool. A combination of photovoice and World Health Organization Quality of Life (WHOQOL)-BREF and WHOQOL-Dis assessment has a potential to give an adequate representation of the voices of persons with disabilities and their quality of life.

There is need for changes in CBR evaluation methodologies in response to the evolution of disability models from medical model to human rights model. Thus CBR evaluation methodologies should embrace the diversity among persons with disabilities in interpreting life experiences and quality of life.

The causes of high-speed railway failures are complex, and it is difficult to quantitatively and accurately describe safety evaluation. The purpose of this paper is to construct a model to ensure the safety of high-speed railway operations.

The authors construct a high-speed railway operation safety evaluation index system from four aspects: personnel, equipment, environment and management and analyze the inter-coupling relationship of various safety factors. Based on the evaluation index system, the use of network analytic hierarchy process (ANP) and fuzzy comprehensive evaluation will be used to establish a high-speed railway operation safety evaluation model.

Through the literature investigation and field investigation, combined with high-speed railway safety key points and system composition, 4 first-level indicators and 17 second-level indicators were selected to construct a high-speed railway operation safety evaluation index system. It can be seen from the results that the personnel management system and the signal and control system have the largest weight.

On the basis of establishing an evaluation index system, comprehensively considering the internal coupling relationship between evaluation indexes and the fuzziness of high-speed railway operation safety evaluation, high-speed railway uses ANP fuzzy network analysis method to construct high-speed railway operation, and the safety evaluation model has certain advantages and practicability in the case of the relative lack of high-speed railway operation data and fault data.

Since 2006, higher education institutions (HEIs) in Sweden, should according to the Higher Education Act, promote sustainable development (SD). In 2016, the Swedish Government asked the Swedish higher education authority to evaluate how this study is proceeding. The authority chose to focus on education. This paper aims to produce a report on this evaluation.

All 47 HEIs in Sweden were asked to write a self-evaluation report based on certain evaluation criteria. A panel was appointed consisting of academics and representatives for students and working life. The panel wrote an evaluation of each HEI, a report on general findings and recommendations, and gave an overall judgement of each HEI in two classes as follows: the HEI has well-developed processes for integration of SD in education or the HEI needs to develop their processes.

Overall, a mixed picture developed. Most HEIs could give examples of programmes or courses where SD was integrated. However, less than half of the HEIs had overarching goals for integration of SD in education or had a systematic follow-up of these goals. Even fewer worked specifically with pedagogy and didactics, teaching and learning methods and environments, sustainability competences or other characters of education for SD. Overall, only 12 out of 47 got a higher judgement.

This is a unique study in which all HEIs in a country are evaluated. This provides unique possibilities for identifying success factors and barriers. The importance of the leadership of the HEIs became clear.

The purpose of this paper is to generalize the traditional risk evaluation methods and to specify a multi-level risk evaluation framework, in order to prepare customized risk evaluation and to enable effectively integrating the elements of risk evaluation.

A real case study of an electric motor manufacturing company is presented to illustrate the advantages of this new framework compared to the traditional and fuzzy failure mode and effect analysis (FMEA) approaches.

The essence of the proposed total risk evaluation framework (TREF) is its flexible approach that enables the effective integration of firms’ individual requirements by developing tailor-made organizational risk evaluation.

Increasing product/service complexity has led to increasingly complex yet unique organizational operations; as a result, their risk evaluation is a very challenging task. Distinct structures, characteristics and processes within and between organizations require a flexible yet robust approach of evaluating risks efficiently. Most recent risk evaluation approaches are considered to be inadequate due to the lack of flexibility and an inappropriate structure for addressing the unique organizational demands and contextual factors. To address this challenge effectively, taking a crucial step toward customization of risk evaluation.

Enabling employee creativity and channeling the creativity of employees toward process and product innovations is a starting point of value creation processes and strategy maps. The dominant view in early creativity research seemed to be that creativity and control are inconsistent. More recently, a number of studies have come to acknowledge that performance evaluations (and rewards linked to such evaluations) may well have positive effects on creativity. This paper aims to review existing results on the effects of performance evaluations on creativity from the perspectives of different research streams.

This paper analyzes a stream of research in social psychology which has promoted the notion of an overall negative effect of performance evaluations on creativity. The (reinterpreted) results from this research stream are contrasted with findings from the behaviorist perspective and with research in management accounting.

The review of the different research traditions in the analysis of the effects of performance evaluations on creativity indicates that the seemingly contradictory empirical results can be explained by the different settings used and by the different ways how performance evaluations and linked rewards are conceptualized.

The paper clarifies that, in contrast to common beliefs, performance evaluations and linked incentives do not kill creativity in general. Performance evaluations and incentives can support creativity and innovation if they are transparent about what kind of creativity is desired and how such creativity is measured and rewarded. Moreover, incentives can effectively support behaviors that are known to be important within creativity and innovation processes.

The setting up of e-university has been slow-going. Much of e-university slow progress has been attributed to poor business models, branding, disruptive technologies, lack of organisational structure that accommodates such challenges, and failure to integrate a blended approach. One of the stumbling blocks, among many, is the handling of evaluation process. E-university models do not provide much automation compared to the original brick-and-mortar classroom model of delivery. The underlining technologies may not have been supportive; however, the conditions are changing, and more evaluation tools are becoming available for academics. The paper aims to discuss these issues.

This paper identifies the extent of current online evaluation processes. In this process, the team reviews the case study of a UK E-University using Adobe Connect learning model that mirrors much of the physical processes as well as online exams and evaluation tools. Using the Riva model, the paper compares the physical with the online evaluation processes for e-universities to identify differences in these processes to evaluate the benefits of e-learning. As a result, the models can help us to identify the processes where improvements can take place for automating the process and evaluate the impact of this change.

The paper concludes that this process can be significantly shortened and provide a fairer outcome but there remain some challenges for e-university processes to overcome.

This paper examines the vital quality assurance processes in academia as more universities move towards process automation, blended or e-university business models. Using the case study of Arden University online distance learning, the paper demonstrates, through modelling and analysis that the process of online automation of the evaluation process is achieved with significant efficiency.