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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.

In heterogeneously segmented markets, collaborating with product users in product innovation is important for business success. End user innovators and embedded user innovators differ in terms of their prior embeddedness in the target industry. The purpose of this study is twofold. First, the authors empirically compare these two types of user innovators in terms of their diffusion channel selection. Second, the authors analyze how the technological advances of their innovations affect this difference.

Using an online questionnaire survey, this study collected a sample of 237 user-generated innovations in Japan and analyzed several hypotheses using quantitative statistical approaches.

The analysis shows that embedded user innovators are more likely than end user innovators to transfer their innovations to producers rather than peers. As the technological advances of their innovations increase, end user innovators' likelihood of transferring their innovation to producers increases more significantly than that of embedded user innovators.

This is the first paper to investigate the difference between end user innovators and embedded user innovators with respect to their diffusion channel selection as well as the moderating role of technological advances. The findings bring new perspectives to the domains of user–producer collaboration and technology transfer.

Size is one of the most controversial influencing factors in the diffusion literature. This paper seeks to shed light on this controversy by examining the relationship between business size and the diffusion of both technological innovation and activity‐based costing (ABC) as an administrative innovation. The findings are expected to provide some guidelines for managers in helping them to determine how to facilitate the diffusion of innovations in their organisations.

The research adopts a longitudinal survey method to examine practices within the Plastics and Chemicals Industries Association, which is the pre‐eminent national body representing Australia's fourth largest manufacturing sector.

The study suggests a significant positive relationship between business size and both technological innovation and the implementation of ABC.

Knowledge of the impact of size on diffusion of innovation has been complicated by the mixed results of extant studies; the paper significantly contributes to this debate.

The concept of open innovation has captured the attention of both academics and practitioners alike. However, there is a dearth of research on how innovations can be diffused within open innovation ecosystems, a critical condition for the sustainability of such ecosystems. In this regard, the study advances a research agenda for guiding future inquiries into innovation diffusion within open innovation ecosystems.

Based on a systematic review of the extant literature on open innovation, this article identifies knowledge gaps in innovation diffusion, along with recommendations for bridging these gaps in the future. The study advocates that future research should consider not only innovation generation processes, but also innovation diffusion processes, especially in light of the growing application of open innovation in the context of digital goods and services.

Subscribing to an evolutionary view of innovation diffusion, the article draws on a five-phase framework – knowledge, persuasion, decision, implementation, and confirmation – to illustrate the roles played by three distinct yet interconnected parties (i.e. platforms, complementors, and individuals) within open innovation ecosystems as well as the research opportunities it brings.

The article examines the critical, yet underexplored role of innovation diffusion in sustaining open innovation ecosystems and outlines potential research avenues that can contribute to growing the understanding of the innovation diffusion process.

This study aims to present an integrated conceptual model in order to highlight the major aspects of diffusion of innovations in the architecture, engineering and construction (AEC) context. To this end, a critical review of literature is conducted, accompanied by synthesising the findings of previous studies. The driving force behind this study is stemmed from the fragmentation of literature on innovation diffusion, and paucity of research on diffusion of Global Virtual Engineering Teams (GVETs) as the platform for many technological innovations in relevant literature. Thus, the present study is intended to facilitate filling the gap in GVETs literature. That is, the proposed model will offer a foundation for academia for grounding studies on any innovation including GVETs in the literature on innovation diffusion in the AEC context.

This paper draws upon the qualitative meta-analysis approach encompassing a critical review of the relevant literature. To this end, the review builds upon studies found within 15 prestigious journals in AEC. The domain of this review was confined to areas described as “innovation”, “innovation diffusion” and “innovation adoption”, along with keywords used within a broad review of recently published GVETs literature. The rigour of review is augmented by incorporating 35 authoritative works from other disciplines published in 21 well-known journals in the manufacturing, business and management fields. Moreover, the study deploys the peer-debriefing approach through conducting unstructured interviews with five Australian scholars to verify a model presenting an aggregated summary of previous studies.

The key findings of the study include the following items: synthesising the fragmented studies on innovation diffusion in the AEC context. In doing so, a model capturing the major aspects affecting diffusion of an innovation in AEC projects is presented; providing a foundation to address the drawbacks of previous studies within the sphere of GVETs, based on the developed model.

The developed model was only enhanced using a small sample size of academics, as such not empirically validated.

As possibly, the first literature review of innovation in the AEC context, this paper contributes to the sphere by sensitising the AEC body of knowledge on innovation diffusion as a concise conceptual model, albeit verified through the peer-debriefing approach. This study will also further establish the research field in AEC on GVETs along with other methods reliant on virtual working such as building information modelling (BIM) through providing an expanded foundation for future inquiries and creation of knowledge.

The purpose of this paper is to identify the influential agents that led to the successful acceptance and diffusion of the Concerto clinical workstation at the Northern District Health Board.

The paper draws on Rogers’ diffusion of innovation theory to interpret and analyse the factors that enabled acceptance and successful implementation of the innovative Concerto clinical workstation.

The authors conclude that human factors (clinicians) and non-human factors (the software package) simultaneously influenced the ready acceptance of the innovation. The reason for the positive acceptance and full diffusion of Concerto as compared to iHealth is the increased functionality it offers and its ability to provide clinicians with comprehensive patient records over a period of time, which assists in making informed decisions regarding the treatment, discharge, hospitalisation and recommendations for the future well-being of patients.

The study focused on only one district health board (DHB); therefore, the outcomes may not be representative of all DHBs.

The study has practical implications for clinicians, DHB members and public health regulators. The outcomes illuminate the “agents” that positively influenced the diffusion of Concerto. The regulators and the DHBs can use this as a benchmark to determine how to lead the successful diffusion of information technology (IT) innovation in the public health sector.

The impact on society is evident in the paper, as the use of an innovation, such as Concerto, saves time taken by clinicians to make more informed decisions regarding their patient care.

This study contributes to new knowledge by investigating the diffusion process of IT innovation with an intention of establishing the factors that enabled this process.

This study aims to focus on a reinforcement supplier’s efforts to diffuse solutions, more or less innovative, in the construction sector to gain understanding of what facilitates and complicates innovation diffusion from a supplier perspective.

The interpretative research presented builds on 28 semi-structured interviews with the supplier and its customers and document studies. The research emphasizes dynamics in the diffusion process and rests on the assumption that the innovation content, innovation context and the innovation process interacts in the diffusion process.

The findings and the contribution from the study provide significant details concerning how the dimensions interact and how the diffusion process may unfold over time, but also that different solutions interact to push diffusion forward.

The study relates to one supplier’s work and the interplay implies uniqueness in different cases. Studies in other contexts could, therefore, also be suitable to develop findings and their transferability.

The study provides understanding for suppliers diffusing innovations in construction on how to act.

A major contribution from the study is that it puts emphasis on how the diffusion process proceeds in interaction with its content and context and problematizes this dimension. Furthermore, the importance of nuancing sub-contexts to display decisive factors in the diffusion process is emphasized.

Researchers in the social sciences have studied the process by which new ideas are adopted (implemented) and how acceptance is generated among those charged with accepting and implementing an innovation. Sociology, in particular, has developed an extensive literature on diffusion analysis which examines how innovations are diffused (see Coleman, Katz, & Menzel, 1966; Leagans & Loomis, 1971; Rogers, 1971; Rogers & Shoemaker, 1971). While many of these studies dealt with the adoption and diffusion of a new product, for example, seed corn or drugs, the same analysis has been applied to process innovations, that is, system and organizational change.

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.

Over the past 50 years, a substantial interest has been put to research on how innovation spreads within social networks over time (see Rogers, 1962, 2010). Our initial aim was to examine innovation diffusion in industrial networks. We operationalized the research through a case study of an advertising network by using systematic combining as the approach (Dubois & Gadde, 2002, 2014). From the initial focus of innovation diffusion, the rematching of data and theory led us to focus on the barriers of innovation diffusion. By doing so, we found out that multilevel strategizing appears to be an important phenomenon in understanding dynamics of innovation diffusion within industrial networks. Specifically, strategizing occurs in two levels: (1) the groups within the network compete for position, and (2) actors within a group compete for position by trying to differentiate themselves from other group actors. A strategic mismatch between the two levels leads the network to become decelerated or even static in diffusing new innovations (Abrahamsen, Henneberg, & Naudè, 2012). Uncovering these findings would not have been possible without the use of systematic combining and the constant matching between theoretical and empirical domains.