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Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially challenging. One known problem with adoption and implementation of new technologies is that, while organizations often make innovations immediately available, organizational actors are more wary about adopting new technologies because these may impact not only patients and practices but also reimbursement. As a result, innovations may remain underutilized, and organizations may miss opportunities to improve and advance. As innovation adoption is vital to achieving success and remaining competitive, it is important to measure and understand factors that impact innovation diffusion. Building on a survey of a national sample of 654 clinicians, our study measures the extent of diffusion of value-enhancing care delivery innovations (i.e., technologies that not only improve quality of care but has potential to reduce care cost by diminishing waste, Faems et al., 2010) for 13 clinical specialties and identifies healthcare-specific individual characteristics such as: professional purview, supervisory responsibility, financial incentive, and clinical tenure associated with innovation diffusion. We also examine the association of innovation diffusion with perceived value of one type of care delivery innovation – artificial intelligence (AI) – for assisting clinicians in their clinical work. Responses indicate that less than two-thirds of clinicians were knowledgeable about and aware of relevant value-enhancing care delivery innovations. Clinicians with broader professional purview, more supervisory responsibility, and stronger financial incentives had higher innovation diffusion scores, indicating greater knowledge and awareness of value-enhancing, care delivery innovations. Higher levels of knowledge of the innovations and awareness of their implementation were associated with higher perceptions of the value of AI-based technology. Our study contributes to our knowledge of diffusion of innovation in healthcare delivery and highlights potential mechanisms for speeding innovation diffusion.

Citizens can develop new products in the household sector (HHS), and although HHS innovations are generally valuable to others, they are seldom diffused by the innovator. In order to provide insight for the understanding of this diffusion failure, this article proposes to introduce the vocational and retirement perspective to consider how the innovator's chronological aging affects her diffusion channel selection. Commercial diffusion of HHS innovations allows older adults to continue a work-related identity. And, a satisfying work experience could enhance older adults' reliance on work for self-worth. Therefore, the relationship between the older HHS innovators and their commercial diffusion as well as the moderating effect of their person–organization (P–O) fit on this relationship was examined.

This study referred to the standard procedure and utilized a Japanese consumer panel to identify HHS innovators. The criterion of old age was set to 60+ years old. The hypotheses were tested with ordinary least squares regression analysis. The robustness of our findings was checked by analyzing two restricted samples.

In Japan, older adults are more likely to diffuse their HHS innovators commercially than to peers. This relationship is amplified when the older adults also perceived a P-O fit in their employer firm.

This paper adds to the evidence that older adults can be an important source of innovation. It – for the first time – points out that the vocational and retirement perspective can help researchers consider why a particular diffusion channel is selected and thereby provide insight for understanding when the diffusion failure of HHS innovation is alleviated. The moderating effect of the P–O fit originally suggests the “interdependent life spheres”, that is, older adults' work experience may affect their post-retirement life and their activity in the household sector.

Cross-laminated timber (CLT) is an innovative construction material that provides a balanced mix of structural stiffness, fabrication flexibility and sustainability. CLT development and innovation diffusion require close collaborations between its supply chain architectural, engineering, construction and manufacturing (AECM) stakeholders. As such, the purpose of this study is to provide a preliminary understanding of the knowledge diffusion and innovation process of CLT construction.

The study implemented a longitudinal social network analysis of the AECM companies involved in 100 CLT projects in the UK. The project data were acquired from an industry publication and decoded in the form of a multimode project-company network, which was projected into a single-mode company collaborative network. This complete network was filtered into a four-phase network to allow the longitudinal analysis of the CLT collaborations over time. A set of network and node social network analysis metrics was used to characterize the topology patters of the network and the centrality of the companies.

The study highlighted the scale-free structure of the CLT collaborative network that depends on the influential hubs of timber manufacturers, engineers and contractors to accelerate the innovation diffusion. However, such CLT supply collaborative network structure is more vulnerable to disruptions due to its dependence on these few prominent hubs. Also, the industry collaborative network’s decreased modularity confirms the maturity of the CLT technology and the formation of cohesive clusters of innovation partners. The macro analysis approach of the study highlighted the critical role of supply chain upstream stakeholders due to their higher centralities in the collaborative network. Stronger collaborations were found between the supply chain upstream stakeholders (timber manufacturers) and downstream stakeholders (architects and main contractors).

The study contributes to the field of industrialized and CLT construction by characterizing the collaborative networks between CLT supply chain stakeholders that are critical to propose governmental policies and industry initiatives to advance this sustainable construction material.

Through the reconstruction of the events of some foreign entrepreneurs who worked in the territory of the Italian city of Bari in the first half of the 19th century, this paper aims to analyze the role of entrepreneurial migration in the economic development of Apulia land in this period.

This study adopts a theoretical framework that combines the concept of mixed embeddedness in a multifocal perspective, with the model of the diffusion of innovation focusing on the role of the so-called agency of actors, and of the network, in the dissemination of innovation. The theoretical framework is applied to multiple case studies to compare the evidence that emerged from the simultaneous analysis of several situations.

By analyzing how innovations have spread within the network of entrepreneurs of that time, it is possible to identify some relevant aspects related to the mechanisms of dissemination of innovations in the context of entrepreneurial migration. Specifically, the opportunity structure is intended in an even broader sense than indicated in the classic approach to mixed embeddedness: it is considered as the result of the joint interaction of the political, institutional and economic context of several places, and the behavioral dynamics of several groups.

Due to the specific method chosen, the outcomes of the research might apply to a narrow context. Therefore, the results need to be tested and confirmed in further empirical studies, and by applying multiple research methods.

Findings are useful and significant in the analysis of the link that exists between the diffusion of innovations and migrant entrepreneurship, and then the conclusions can be applied and extended to the current phenomenon of migration-related innovations, with specific reference to developing countries.

Findings can be applied and extended to the current phenomenon of migration-related innovations and highly skilled migration, with specific reference to developing countries.

This paper contributes to shed new light on the contextual and multifocal factors that influence the development of innovations in the networks of migrant entrepreneurship, in a specific historical period and a specific context. Combining social, human and financial capital with the wider opportunity structure, this study also provides a comprehensive understanding of the modalities through which migrant and high-skilled entrepreneurs could innovate.

The purpose of this paper is to show that research on policy diffusion mechanism of Government Procurement of Public Services (GPPS) is beneficial to improve the efficiency of policy formulation and implementation.

In view of the four dimensions which are internal demand, external pressure, policy innovation environment and service characteristic, a system of factors affecting policy diffusion is established. On this basis, a Multilayer Fuzzy Cognitive Map (MFCM) model for policy diffusion of GPPS is constructed. Nonlinear Hebbian Learning algorithm and genetic algorithm are applied to optimize the two components of the MFCM model, which are relationship between nodes at the same layer and influence weights between nodes at different layers, respectively. Taking Nanjing municipal government purchasing elderly-care services in China as the empirical object, simulation of policy diffusion based on the MFCM model is carried out, aiming to obtain the key factors influencing policy diffusion and the dynamic diffusion mechanism of GPPS policy.

Research results show that, compared with monolayer Fuzzy Cognitive Map, the MFCM model converges faster. In addition, simulation results of policy diffusion indicate that economic development level of jurisdiction, superior pressure, administrative level and operability of services are key influencing factors which are under four dimensions correspondingly. And the dynamic influencing mechanism of key factors has also been learned.

This paper constructs the MFCM model, which is a new approach based on several monolayer FCMs, to study the policy diffusion mechanism.

Despite the existing gaps in the use of technology in East Africa, the region is among the fastest-growing mobile data users on the continent. This progress is partially attributed to local initiatives to develop and adapt homegrown technologies to local contexts to increase their accessibility and use even in the remotest areas. In this chapter we identify a few of these innovations in Kenya, Rwanda and Uganda and examine how they have been indigenised to fit local contexts as well as the processes of their diffusion, adoption, affordability and accessibility among users and their everyday gratifications from the innovations. The socio-technological assemblage theory, which illuminates the influences of, and the connections between various types of actors and their roles, visions, ideas, concepts and the technological products, informs our inquiry. Other related concepts including ‘innovation’, ‘indigenisation’ and ‘diffusion’ are discussed to understand the homegrown technology innovations and their adaptability. Discussions with both innovators and users/beneficiaries reveal rigorous proactiveness and responsiveness of innovation creators and users in the three countries – reflected in numerous attestations of life transformation. Nevertheless, there is a paradigm shift in the diffusion of innovations amongst users – contrary to the discourse around its early precepts.

The study aims to explore the digital fashion trend within the Metaverse, characterized by non-fungible tokens (NFTs), across Twitter networks. Integrating theories of diffusion of innovation, two-step flow of communication and self-efficacy, the authors aimed to uncover the diffusion structure and the influencer's social roles undertaken by social entities in fostering communication and collaboration for the advancement of Metaverse fashion.

Social network analysis examined the critical graph metrics to profile, visualize, and cluster the unstructured network data. The authors used the NodeXL program to analyze two hashtag keyword networks, “#metaverse fashion” and “#metawear,” using Twitter API data. Cluster, semantic, and time series analyses were performed to visualize the contents and contexts of communication and collaboration in the diffusion of Metaverse fashion.

The results unraveled the “broadcast network” structure and the influencers' social roles of opinion leaders and market mavens within Twitter's “#metaverse fashion” diffusion. The roles of innovators and early adopters among influencers were comparable in collaborating within the competition venues, promoting awareness and participation in digital fashion diffusion during specific “fad” periods, particularly when digital fashion NFTs and cryptocurrencies became intertwined with the competition in the Metaverse.

The study contributed to theory building by integrating three theories, emphasizing effective communication and collaboration among influencers, organizations, and competition venues in broadcasting digital fashion within shared networks. The validation of multi-faceted Social Network Analysis was crucial for timely insights, highlighting the critical digital fashion equity in capturing consumers' attention and driving engagement and ownership of Metaverse fashion.

This study examines accounting reform in the Sri Lankan public sector using an actor–network perspective. The study is particularly concerned with the role of the Institute of Chartered Accountants Sri Lanka (ICASL) in building networks of organisational actors in the diffusion of Sri Lankan Public Sector Accounting Standards (SLPSAS).

The empirical data draws on interviews with key actors to understand the role of ICASL in the diffusion of SLPSAS. Twenty-two semi-structured interviews were conducted with members of ICASL and senior public sector officers. The data were analysed based on the four stages underlying the translation process: problematisation, interessement, enrolment and mobilisation.

The data suggest that ICASL became a lead player in the diffusion of public sector accounting standards because of its superior technical capability. ICASL cultivated a way of thinking about accrual accounting by executing relational influence generated through professional knowledge, and connections with the government and public sector accountants.

Findings should be interpreted with caution; data are limited by the subjective interpretation of data. By concentrating on the role of ICASL, the role and influence of other key actors may be overlooked.

This study contributes to the literature on how innovations transform accounting practice through the lens of the ICASL. The result builds on evidence explaining why provincial governments and public sector governments were hesitant to adopt SLPSAS despite central government directives.

The purpose of this paper is to offer a new analysis and understanding of the notion of deinstitutionalization. Deinstitutionalization of taken-for-granted practices as a natural consequence of ever-increasing entropy seems to directly contradict the major institutional thesis, namely, that over time isomorphic forces increase and, as a result, possibilities for deinstitutionalization decrease culminating in the impossibility of abandoning in highly institutionalized fields.

This paper is conceptual in nature. Oliver’s 1992 paper on deinstitutionalization is taken as a key text on the subject and as a starting point for building an alternative theory of deinstitutionalization. More broadly, institutional theory and organizational literature on diffusion/adoption are reviewed and synthesized.

The authors argue that possibilities for deinstitutionalization have been overestimated in institutional literature and offer a revisited account of deinstitutionalization vs institutional isomorphism and institutionalized vs highly diffusing-but-not-institutionalized practices. A freedom for choice between alternative practices exists during the pre-institutional stage but not when the field is already institutionalized. In contrast, institutionalized, taken-for-granted practices are immutable to any sort of functional and political pressures and they use to persist even when no technical value remains, thus deinstitutionalization on the basis of a functional dissatisfaction seems to be a paradox.

By revisiting the nature and patterns of deinstitutionalization, the paper offers a better conceptual classification and understanding of how organizations adopt, maintain and abandon organizational ideas and practices. An important task of this paper is to reduce the scope of application of deinstitutionalization theory to make it more focused and self-consistent. There is, however, still not enough volume of studies on institutional factors of practices’ abandonment in institutional literature. The authors, therefore, acknowledge that more studies are needed to further improve both the former deinstitutionalization theory and the framework.

The authors offer a solution to this theoretical inconsistency by distinguishing between truly institutionalized practices and currently popular practices (highly diffused but non-institutionalized). It is only the latter that are subject to the norms of progress that allow abandoning and replacing existing organizational activities. Deinstitutionalization theory is, thus can be applied to popular practices that are subject to reevaluation, abandonment and replacement with new optimal practices while institutions are immutable to these norms of progress. Institutions are immutable to deinstitutionalization and the deinstitutionalization of optimal practices is subject to the logic of isomorphic convergence in organizational fields. Finally, the authors revisit a traditional two-stage institutional diffusion model to explain the possibility and likelihood of abandonment during different stages of institutionalization.

This paper aims to discuss the complexities and foresight of Mars colonization. There are many pioneers competing in a space race to Mars, for example, Elon Musk – SpaceX, Jeff Bezos – Blue Origin and Richard Branson – Virgin Orbit. The analyses are focused on the aerospace industry – the process of space adventures to Mars.

This study offers new methodological approaches – the development of a complexity metric and system innovation mode – to analyze how the complexities relate to the systemic nature of innovation. The complexity metric and system innovation model can be applied in various industries. These analysis tools can help gain insights into the strategies for achieving the diffusion of commercial space.

The analyses of findings have shown that, despite various attempts among the pioneers in a space race to colonize Mars (Elon Musk – SpaceX, Jeff Bezos – Blue Origin and Richard Branson – Virgin Orbit, among others), the aerospace industry has not yet reached a stage of commercialization. The commercial space to Mars is of low systemic nature at present. Many companies compete in a space race to develop technologies on a proprietary basis. However, the highest complexity level suggests a multinational and intergovernmental collaboration to achieve economies of scale and economies of scope as well as accelerate the process of technology diffusion – successful commercial space for the interplanetary settlement.

The main contribution that shows originality and value of this paper is the development of a complexity metric and system innovation model which can be used to explore how the complexities relate to the systemic nature of innovation and how they relate to the strategies in managing technological innovations. The new methodological approaches can be used and applied to various industries.