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The purpose of this paper is to explore the wider context in which the national evaluation of the Adoption Support Fund (ASF) was delivered and raise concerns about the sustainability of the early outcomes.

The paper briefly summarises the outcomes of a two-year mixed-methods evaluation. This included a two-wave postal survey (n=792) and follow-up (n=481), an online survey of adopters (n=586) and professionals (providers n=50, local authority staff n=124) and in-depth family interviews. The focus of the discussion on sustainability is drawn from the qualitative research of 10 local authority case studies based on 86 interviews with adoption teams and 33 providers and the perspectives of parents.

Whilst the ASF showed modest early outcomes for families in terms of improved mental health and wellbeing without the scaffolding of wider support of services able to understand the complex lifelong needs of adoptive children and their families, the sustainability of the benefits of therapeutic support is questioned. Adoption teams struggled with the increased burden of administration of the fund, their knowledge of therapeutic interventions, an evidence base and quality of provision from a market that is difficult to regulate. In a society that is failing to meet the mental health and wellbeing needs of children generally, how can a single intervention meet the needs of a very vulnerable group?

Research and evaluation on interventions in children’s social care could be more systems aware and instead of narrowly focusing on outcomes pay attention to the complex network of services that interlink to support vulnerable children and their families and the restraints on resources that they are working with.

To prevent adoption breakdown and increase recruitment of adopters, support for adoptive families needs to be improved beyond the current scope of the ASF. A wide range of services are required to support adopted children particularly as they grow into adolescence. While families have the right to live independently of social services, the awareness of their needs throughout public organisations should be raised particularly in schools.

This paper represents the views of the evaluators at TIHR of the ASF beyond the scope of the original evaluation. It reflects on the wider context of the role out of the Fund and raises important questions about the failure to support the mental health and wellbeing needs of the most vulnerable children in society. It is an organisation reflection drawing on early research in children’s social care from its archive.

Because BIM adoption is still afflicted by various types of hurdles, a complete BIM implementation model is required to provide the necessary methods for driving BIM adoption. As a result, this study looked into the parts of the BIM implementation model that had the most impact on increasing the percentage of BIM adoption in South Africa.

This study developed a four-wheel model of BIM implementation based on implementation process theory, which includes BIM inspiration, BIM capacity development, BIM use and BIM commitment. To assess BIM capacity development, two sub-constructs (BIM learning process and BIM learning methodologies) were used. Two sub-constructs were used to assess BIM utilisation (efficient BIM application and effective BIM application). The sub-constructs employed to quantify BIM motivation were organisational competitiveness, societal conformity and contractual obligations. Incentives, investments and obligations were used to assess BIM commitment. The model was validated using four assumptions and maximum likelihood estimation – structural equation modelling (MLE-SEM).

The MLE-SEM results demonstrated unequivocally that all of the constructions are critical components of the BIM deployment paradigm in the South African construction industry. BIM motivation, as characterised by organisational competitiveness and social compliance, has the greatest impact. The findings on BIM motivation also revealed that the desire for technological sophistication, competitiveness and social acceptance by clients are encouraging construction organisations and professionals to embrace BIM adoption.

This study's findings have contributed to the increasing body of literature on BIM deployment. The study has significant implications for achieving BIM implementation in underdeveloped nations where BIM deployment is either non-existent or in its early stages. The theoretical component of the study serves as the foundation for further analysis of BIM deployment.

This research is important for identifying BIM goals, developing a BIM implementation framework, allocating resources for BIM implementation and defining key performance indicators for BIM implementation. The BIM implementation aspects outlined in this study will be effective in lowering BIM adoption hurdles.

This study makes a unique contribution to BIM research by providing theoretical and empirical analysis into the elements of the BIM implementation model in a developing country. The study offers an excellent opportunity to further our understanding of BIM application in underdeveloped nations.

The purpose of this paper is to report findings from a service evaluation undertaken within a single specialist child and adolescent mental health service (CAMHS) team. The team works closely with local authority children’s services to serve specific populations recognised as experiencing higher levels of mental health need, including children living in alternative care and with adoptive families. The evaluation sought to better understand the experience of this provision during the COVID-19 pandemic and concomitant increase in remote and digitally mediated care delivery.

Analysis of the accounts of 38 parents, carers and professionals involved with the team gathered via telephone interviews and email and postal questionnaires.

Similar views were expressed from participants involved with the team before and following the onset of the pandemic. Overall, satisfaction was high; however, changes in care appeared more challenging for those already involved with the team before the pandemic. Differences in experience between groups were also evident. Whereas foster carers’ accounts were generally appreciative of the involvement of clinicians, particularly regarding clinician–patient relationships, amongst adoptive parents and members of children’s birth families there were more mixed and negative impressions.

Locally based service evaluations can help inform care pathway planning in specialist CAMHS provision as part of wider quality improvement initiatives. This is especially relevant considering the repercussions of the COVID-19 pandemic and as the longer-term acceptability of remote working practices is appraised.

The digital transformation towards Industry 4.0 (I4.0) has become imperative for manufacturers, as it makes them more flexible, agile and responsive to customers. This study aims to identify the factors influencing the manufacturing firms’ decision to adopt I4.0 and develop a triadic conceptual model that explains this phenomenon.

This study used a qualitative exploratory study design based on multiple case studies (n = 15) from the manufacturing industry in Malaysia by conducting face-to-face interviews. The data were analysed using NVivo. The conceptual model was developed based on grounded theory and deductive thematic analysis.

Results demonstrate that driving, facilitating and impeding factors play influential roles in a firms’ decision-making to adopt I4.0. The major driving factors identified are expected benefits, market opportunities, labour problem, customer requirements, competition and quality image. Furthermore, resources, skills and support are identified as facilitating factors and getting the right people, lack of funding, lack of knowledge, technical challenges, training the operators and changing the mindset of operators to accept new digital technologies are identified as impeding factors.

Due to its qualitative design and limited sample size, the findings of this study need to be supplemented by quantitative studies for enhanced generalizability of the proposed model.

Knowledge of the I4.0 decision factors identified would help manufacturers in their decision to invest in I4.0, as they can be applied to balancing advantages and disadvantages, understanding benefits, identifying required skills and support and which challenges to expect. For policymakers, our findings identify important aspects of the ecosystem in need of improvement and how manufacturers can be motivated to adopt I4.0.

This study lays the theoretical groundwork for an alternative approach for conceptualizing I4.0 adoption beyond UTAUT (Unified Theory of Acceptance and Use of Technology). Integrating positive and negative factors enriches the understanding of decision-making factors for I4.0 adoption.

Access to high-speed Internet is essential for full and consequential participation in the civic, economic, and education systems of modern life. Yet 30% of Californians continue to lack “meaningful Internet access” at home. This digital divide is worse among already disadvantaged communities and prevents rural, lower-income, and disabled individuals from fully participating in the civic, economic, and education systems of life in 2018. This chapter establishes the magnitude of the digital divide, examines the factors that contribute to the Divide, and looks at which groups are most affected. Successful government programs that invested in utility infrastructure and adoption, such as the Rural Electrification Act, the American Reinvestment and Recovery Act and the California Advanced Services Fund, are examined to provide a foundation for broadband specific policy recommendations. The chapter sets up a framework for policy recommendations by segmenting the population based upon the concepts of material and motivational access and establishing meaningful Internet access as the goal for policy-makers. The chapter puts forth a number of specific policy recommendations to address the technological disparity and prevent it from furthering the economic and educational divides.

Small and medium-sized enterprises (SMEs) are currently showing an increasingly open innovation (OI) approach. Public policies supporting the adoption of OI by SMEs are becoming a priority for policymakers. Therefore, the aim of this article is to contribute to the literature by mapping scholars' policy recommendations for implementing OI among SMEs.

The authors conducted a systematic review of the literature (SRL) on the topic to achieve this purpose. A total of 99 academic articles were selected from the Web of Science and Scopus databases to suggest the main scholars' policy recommendations to implement OI among SMEs.

Results indicated that scholars' policy recommendations for OI adoption in SMEs can be organized into: research and development (R&D), networking, collaboration, knowledge and intellectual property rights (IPR), ecosystem, managerial capabilities, funding and incentives and sustainability policies.

Only relevant articles about this topic have been included due to the reliance on the interpretations of the authors. The analysis of the literature revealed that the authors did not always distinguish policies dedicated to SMEs and those dedicated to large companies. Moreover, policies are not matched according to each OI dimensions (e.g. inbound, outbound and coupled OI).

The article uses a systematic literature review method that combines qualitative and quantitative analyses. This method contributes to theoretical development of OI policies dedicated, in particular to SMEs. This paper also provides policymakers and researchers with insights on the scope of OI policies that could support economic growth.

Drawing on social feminist theory, this paper aims to close gaps between knowledge about gender-related barriers to information, communication and technology (ICT) adoption and the provision of entrepreneurship education and training (EET) programs.

Empirical findings are drawn from 21 semi-structured interviews (22 informants) possessing differing training expertise regarding digital technology among women entrepreneurs. An open-coding technique was adopted where descriptive codes were first assigned to meaningful statements. Interpretive and pattern codes were then assigned to indicate common themes and patterns, which were reduced to higher-order categories to inform the research questions.

The findings specify and validate further gender influences in the digital economy. Digital skills are identified, and strategies to close gender barriers to ICT adoption with EET are described. The findings are discussed in reference to a large-scale, Canadian ICT adoption program.

Perceptual data may be idiosyncratic to the sample. The work did not control for type of technology. Gender influences may differ by type of technology.

Findings can be used to construct gender-inclusive ICT supports and inform ICT adoption policies. This includes program eligibility and evaluation criteria to measure the socio-economic impacts.

The study is among the first to examine the intersection between knowledge about gender-related barriers to ICT adoption and EET. The findings can be adopted to ICT support programs targeted at small business owners and entrepreneurs.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.