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At present, the evaluation methodology on the design innovation of the stadia is not complete. The degree of innovation of the design scheme of the stadia still cannot be quantitatively estimated; this inability makes it difficult to guide the selection of a design scheme. To solve the problem of evaluation on the innovative design of the stadia, improve such design’s evaluation theory, and accurately direct the selection of the design scheme of the stadia, the Delphi method is used to select evaluation indexes. Moreover, analytic hierarchy process (AHP) is applied to determine the index weight in this study; based on this index weight, fuzzy comprehensive evaluation is used to establish the model of the design innovation evaluation of the stadia. The model involves the comprehensive and simple selection of indexes and the high reliability of weight selection; the model can quantitatively calculate the comprehensive index evaluation value of the design innovation of the stadia in a relatively accurate and rapid way. In this study, Hunan People’s Stadium is taken as the example for design innovation evaluation; the procedure of design innovation evaluation is introduced in detail. The design innovation evaluation value of the stadia is 2.977 through analysis; this value indicates an ordinary degree of innovation. The innovation evaluation value of the shape is 3.425; this value shows a relatively high degree of innovation. The innovation evaluation value of the structure is 2.47; this value represents a relatively low degree of innovation. The model in this study is an accurate and prompt model that can conduct a comprehensive evaluation on the design innovation of the stadia based on quantitative calculation. This model directly and comprehensively finds the advantages and disadvantages of a design scheme. Thus, it is quite suitable for the design innovation evaluation of the stadia.

Young people who are looked after by the state face challenges as they make the transition from care to adulthood, with variation in support available. In the past decade, funding has been directed towards organisations to pilot innovations to support transition, with accompanying evaluations often conducted with a single disciplinary focus, in a context of short timescales and small budgets. Recognising the value and weight of the challenge involved in evaluation of innovations that aim to support the transitions of young people leaving care, this paper aims to provide a review of evaluation approaches and suggestions regarding how these might be developed.

As part of a wider research programme to improve understanding of the innovation process for young people leaving care, the authors conducted a scoping review of grey literature (publications which are not peer reviewed) focusing on evaluation of innovations in the UK over the past 10 years. The authors critiqued the evaluation approaches in each of the 22 reports they identified with an inter-disciplinary perspective, representing social care, public health and organisation science.

The authors identified challenges and opportunities for the development of evaluation approaches in three areas. Firstly, informed by social care, the authors suggest increased priority should be granted to participatory approaches to evaluation, within which involvement of young people leaving care should be central. Secondly, drawing on public health, there is potential for developing a common outcomes’ framework, including methods of data collection, analysis and reporting, which aid comparative analysis. Thirdly, application of theoretical frameworks from organisation science regarding the process of innovation can drive transferable lessons from local innovations to aid its spread.

By adopting the unique perspective of their multiple positions, the authors’ goal is to contribute to the development of evaluation approaches. Further, the authors hope to help identify innovations that work, enhance their spread, leverage resources and influence policy to support care leavers in their transitions to adulthood.

Companies have to assess the benefit of supplier innovation before realization. The specific situation of supplier innovation differs from conventional innovation evaluation because a supplier innovation refers to a subproduct for which the supplier is responsible. To date, supplier innovation evaluation has not been comprehensively discussed in the literature. Therefore, the purpose of this paper is to focus on how supplier innovation should be evaluated.

For this purpose, a case study based on expert interviews has been conducted to identify how supplier innovation is evaluated in practice. On the basis of the empirical findings the specific situation of supplier innovation is discussed in relation to theoretical basics about the object, objective, time, reference, person, recipient, criteria, and methods of evaluation as well as the evaluation and selection process.

Results are recommendations for the special situation of supplier innovation evaluation before their realization in the purchasing company.

Based on the recommendations, a systematic and comprehensive approach with evaluation criteria and methods should be developed. Future research should address useful evaluation criteria and methods.

Managers can use the recommendations to evaluate supplier innovation in practice and to establish a systematic evaluation and selection process for supplier innovation.

The research findings contribute to the literature about innovation management and supplier management research by providing insights into the special situation of supplier innovation evaluation; in particular, this is the first paper which provides a systematic and comprehensive discussion about supplier innovation evaluation.

The purpose of this work is to construct a grey entropy comprehensive evaluation model to measure the regional green innovation vitality (GIV) of 31 provinces in China.

The traditional grey relational proximity and grey relational similarity degree are integrated into the novel comprehensive grey evaluation framework. The evaluation system of regional green innovation vitality is constructed from three dimensions: economic development vitality, innovative transformation power and environmental protection efficacy. The weights of each indicator are obtained by the entropy weight method. The GIV of 31 provinces in China is measured based on provincial panel data from 2016 to 2020. The ward clustering and K-nearest-neighbor (KNN) algorithms are utilized to explore the regional green innovation discrepancies and promotion paths.

The novel grey evaluation method exhibits stronger ability to capture intrinsic patterns compared with two separate traditional grey relational models. Green innovation vitality shows obvious regional discrepancies. The Matthew effect of China's regional GIV is obvious, showing a basic trend of strong in the eastern but weak in the western areas. The comprehensive innovation vitality of economically developed provinces exhibits steady increasing trend year by year, while the innovation vitality of less developed regions shows an overall steady state of no fluctuation.

The grey entropy comprehensive relational model in this study is applied for the measurement and evaluation of regional GIV, which improves the one-sidedness of traditional grey relational analysis on the proximity or similarity among sequences. In addition, a three-dimensional evaluation system of regional GIV is constructed, which provides the practical guidance for the research of regional development strategic planning as well as promotion paths.

A comprehensive grey entropy relational model based on traditional grey incidence analysis (GIA) in terms of proximity and similarity is proposed. The three-dimensional evaluation system of China's regional GIV is constructed, which provides a new research perspective for regional innovation evaluation and expands the application scope of grey system theory.

This study aims to evaluate enterprise technology innovation capability in prefabricated construction (PC) from an input-output perspective, using six integrated enterprises in China as cases.

An evaluation system for enterprise technology innovation capability in PC was constructed, including total input, technology output (TO) and project output. All the evaluation indexes were quantified, and the subject and object indexes weights were determined using the fuzzy cognitive map and information entropy, respectively. The final scores and ranks were evaluated through gray relational analysis (GRA) based on the combined weights.

It was found that enterprise technology innovation capability in PC was low in China, with its unbalanced development in different dimensions and the poorest performance in TO, currently.

This research has developed an evaluation system for technology innovation capability in PC at the enterprise level and scientifically quantified all the indexes, which is a breakthrough over existing studies. The GRA model based on the combined weights proposed in this study can be applied to other comparable fields and regions, with its easy operation.

This paper aims to develop a practical tool to evaluate the outcomes of innovative practices in the building and construction industry.

A practical tool was proposed. It is an online tool programmed in a JavaScript environment. A previously developed and tested framework was the basis for this tool. Six case projects were used to test and validate the reliability of the tool. The outcomes of the building projects were categorized into six categories of economic, quality, social, environmental, satisfaction and soft and organizational impacts.

The most important finding of this research was that the evaluation of innovation in building and construction would be possible only if the subjective assessment is tolerated to include the non-monetary outcomes in the evaluation, as well as the monetary outcomes.

The findings of this research are limited to the domestic and medium density building projects; thus, the outcomes might be generalized with appropriate care. The developed tool would assist practitioners in the field of building and construction to realize the impacts of innovation introduced into their projects. The project owners and developers could be the main audience of this tool.

The main contribution of the current study into the literature is the consideration of tangible and intangible outcomes of innovation together. In other words, this tool not only evaluates monetary outcomes but also takes into account non-monetary outcomes. It has been stated in the literature that 80 per cent of firms choose “non-numeric” project selection models (Meredith and Mantel, 2006). To provide a full representation of the reality, this model considers both numeric and non-numeric measures by applying both quantitative and qualitative evaluation methods. The project owners and developers could be the main audience of this tool. It is worth mentioning that this tool is the first attempt of its kind for building and construction projects, and it is applicable and fully practical.

This tool is the first attempt of its kind to evaluate practically the outcomes of innovation in the building and construction industry. The tool practicality and applicability in the real-world project is a privilege which gives more reliability and credibility to the proposed approach of innovation evaluation.

The purpose of this paper is to apply a new idea and scientific method to evaluate the enterprise's independent innovation capability accurately.

The matter‐element, extension set and independent function in extension theory are introduced briefly. Based on extension theory, the matter‐element model on comprehensive evaluation of the enterprise's independent innovation capability is established. Then, an instance which makes structural analysis on the enterprise's independent innovation capability with extension evaluation method is given.

The matter‐element model on comprehensive evaluation of the enterprise's independent innovation capability is established. Extension evaluation method can combine qualitative analysis and quantitative analysis to reflect the changing process of the objective appropriately. By means of the matter‐element model, the evaluation result shows which the grade does the enterprise's independent innovation capability belong to.

Extension evaluation method resorting to extension theory, cannot only reveal the evaluation grade and competitive advantage of an enterprise within the industry or within the scope of the evaluation, but also show comprehensive index level of the enterprise's independent innovation capability.

It is significant to monitor the enterprise's development and changes effectively, find the key factors influencing the enterprise's independent innovation capability and take effective measures in time.

New idea and scientific method are introduced into the enterprise's independent innovation activity, and it can integrate both qualitative and quantitative analysis to solve contradictory problems.

Information and communications technology (ICT) offers enormous opportunities for individuals, businesses and society. The application of ICT is equally important to economic and non-economic activities. Researchers have increasingly focused on the adoption and use of ICT by small and medium enterprises (SMEs) as the economic development of a country is largely dependent on them. Following the success of ICT utilisation in SMEs in developed countries, many developing countries are looking to utilise the potential of the technology to develop SMEs. Past studies have shown that the contribution of ICT to the performance of SMEs is not clear and certain. Thus, it is crucial to determine the effectiveness of ICT in generating firm performance since this has implications for SMEs’ expenditure on the technology. This research examines the diffusion of ICT among SMEs with respect to the typical stages from innovation adoption to post-adoption, by analysing the actual usage of ICT and value creation. The mediating effects of integration and utilisation on SME performance are also studied. Grounded in the innovation diffusion literature, institutional theory and resource-based theory, this study has developed a comprehensive integrated research model focused on the research objectives. Following a positivist research paradigm, this study employs a mixed-method research approach. A preliminary conceptual framework is developed through an extensive literature review and is refined by results from an in-depth field study. During the field study, a total of 11 SME owners or decision-makers were interviewed. The recorded interviews were transcribed and analysed using NVivo 10 to refine the model to develop the research hypotheses. The final research model is composed of 30 first-order and five higher-order constructs which involve both reflective and formative measures. Partial least squares-based structural equation modelling (PLS-SEM) is employed to test the theoretical model with a cross-sectional data set of 282 SMEs in Bangladesh. Survey data were collected using a structured questionnaire issued to SMEs selected by applying a stratified random sampling technique. The structural equation modelling utilises a two-step procedure of data analysis. Prior to estimating the structural model, the measurement model is examined for construct validity of the study variables (i.e. convergent and discriminant validity).

The estimates show cognitive evaluation as an important antecedent for expectation which is shaped primarily by the entrepreneurs’ beliefs (perception) and also influenced by the owners’ innovativeness and culture. Culture further influences expectation. The study finds that facilitating condition, environmental pressure and country readiness are important antecedents of expectation and ICT use. The results also reveal that integration and the degree of ICT utilisation significantly affect SMEs’ performance. Surprisingly, the findings do not reveal any significant impact of ICT usage on performance which apparently suggests the possibility of the ICT productivity paradox. However, the analysis finally proves the non-existence of the paradox by demonstrating the mediating role of ICT integration and degree of utilisation explain the influence of information technology (IT) usage on firm performance which is consistent with the resource-based theory. The results suggest that the use of ICT can enhance SMEs’ performance if the technology is integrated and properly utilised. SME owners or managers, interested stakeholders and policy makers may follow the study’s outcomes and focus on ICT integration and degree of utilisation with a view to attaining superior organisational performance.

This study urges concerned business enterprises and government to look at the environmental and cultural factors with a view to achieving ICT usage success in terms of enhanced firm performance. In particular, improving organisational practices and procedures by eliminating the traditional power distance inside organisations and implementing necessary rules and regulations are important actions for managing environmental and cultural uncertainties. The application of a Bengali user interface may help to ensure the productivity of ICT use by SMEs in Bangladesh. Establishing a favourable national technology infrastructure and legal environment may contribute positively to improving the overall situation. This study also suggests some changes and modifications in the country’s existing policies and strategies. The government and policy makers should undertake mass promotional programs to disseminate information about the various uses of computers and their contribution in developing better organisational performance. Organising specialised training programs for SME capacity building may succeed in attaining the motivation for SMEs to use ICT. Ensuring easy access to the technology by providing loans, grants and subsidies is important. Various stakeholders, partners and related organisations should come forward to support government policies and priorities in order to ensure the productive use of ICT among SMEs which finally will help to foster Bangladesh’s economic development.

While providing users with important innovation resources, an enterprise's open innovation community also encounters numerous challenges. The purpose of this study is to develop and implement a set of evaluation systems that can identify the ecological characteristics of open innovation communities. The ultimate goal is to provide guidance for the construction and establishment of these communities.

Firstly, from the perspective of information ecology, according to the connotation requirements of the four information elements of “people, information, technology and environment” in the information ecosystem, this paper determines the evaluation indicators of enterprise's open innovation community from the aspects of integrity and dynamics. Then, based on the improved analytic hierarchy process, the weight of each index is calculated, and a complete evaluation system of open innovation community is established. Finally, the fuzzy comprehensive evaluation method is used to conduct empirical research on Haier Open Partnership (HOPE) platform, analyze its ecological situation and existing problems and put forward the corresponding construction recommendations.

The application of HOPE platform shows that the evaluation index system built in this study has good applicability, and the whole research process and research method have certain reference value for future studies. At the same time, the study found that the HOPE platform has good ecological characteristics, but there are also some problems. This study can directly promote the construction of the platform.

This paper, for the first time, combines the information ecology theory with the open innovation community. The results demonstrate that the open innovation community is an information ecosystem, which can be evaluated ecologically. Furthermore, to ensure the calculation's scientific accuracy, the index weight is determined by constructing a judgment matrix based on expert questionnaires.

This chapter introduces the notion of the ‘Innovation Story’ as a methodological approach to public policy evaluation, which builds in greater opportunity for learning and reflexivity.

The Innovation Story is an adaptation of the case study approach and draws on participatory action research traditions. It is a structured narrative that describes a particular public policy innovation in the personalised contexts in which it is experienced by innovators. Its construction involves a discursive process through which involved actors tell their story, explain it to others, listen to their questions and co-construct knowledge of change together.

The approach was employed to elaborate five case studies of place-based leadership and public service innovation in the United Kingdom, The Netherlands and Mexico. The key findings are that spaces in which civic leaders come together from different ‘realms’ of leadership in a locality (community, business, professional managers and political leaders) can become innovation zones that foster inventive behaviour. Much depends on the quality of civic leadership, and its capacity to foster genuine dialogue and co-responsibility. This involves the evaluation seeking out influential ideas from below the level of strategic management, and documenting leadership activities of those who are skilled at ‘boundary crossing’ – for example, communicating between sectors.

The evaluator can be a key player in this process, as a convenor of safe spaces for actors to come together to discuss and deliberate before returning to practice. Our approach therefore argues for a particular awareness of the political nature of policy evaluation in terms of negotiating these spaces, and the need for politically engaged evaluators who are skilled in facilitating collective learning processes.