Diffusion Of Innovation Research Articles

New Infrastructure Construction and Coordinated Development of the Regional Economy: The Empirical Evidence from the Yangtze River Delta Region in China

This study explores the “gap reduction effect” of new infrastructure on regional economic disparities, investigating both its impact and underlying mechanisms in narrowing these gaps. Focusing on 41 prefecture-level cities within the Yangtze River Delta, this paper constructs an evaluation index system for new infrastructure and quantitatively measures its development. The results reveal that while the overall level of new infrastructure in the region is relatively advanced, there are notable disparities between cities. The benchmark analysis demonstrates a significant positive relationship between the development of new infrastructure and the promotion of coordinated regional economic growth. New infrastructure fosters industrial and spatial integration through three primary pathways: enhancing the efficiency of the resource allocation within regions, driving industrial upgrades, and facilitating the diffusion of technological innovations. These factors collectively contribute to the balanced and coordinated development of regional economies. Further investigation uncovers a threshold effect, suggesting that the level of digitalization plays a crucial role in facilitating the regional economic integration catalyzed by new infrastructure.

Podcast as Disaster Mitigation Information Media on BNPB’s Youtube Account

BNPB podcasts still face challenges in attracting the interest of the wider community, such as the low number of enthusiasts in BNPB podcasts resulting in a lack of public awareness of environmental issues. This study aims to analyze the effectiveness of disaster mitigation messages delivered through the BNPB podcast and identify the obstacles faced by BNPB in disaster mitigation counseling through the BNPB Podcast. This research uses a qualitative method with content analysis based on Everett Rogers' innovation diffusion theory, which includes innovation, social system, information dissemination, and timeframe. The data analyzed is podcast content from the BNPB_Indonesia YouTube account throughout. The aim was to identify the types, messages conveyed and BNPB's communication strategy. Public participation was evaluated through observational data, such as the number of likes and comments. Based on the results of the study, it can be concluded that BNPB podcasts include innovating mitigation messages, strengthening social systems, disseminating information, community response, follow-up to BNPB podcasts and obstacles faced in these podcasts. BNPB through the podcast innovated disaster preparedness and handling messages, and introduced Inarisk web technology to support it. Despite the potential for wide reach, the podcast content lacks audience interest, resulting in a minimal number of listeners. to be more effective, BNPB needs to strengthen promotion and interaction with listeners.

Marketing Innovation as a Catalyst for Clean Energy Technology Diffusion: A Quantitative Analysis of Market Penetration Strategies

Although the global transition to clean energy has become a priority, the diffusion of clean energy technologies still faces significant challenges, especially in terms of market penetration. Marketing innovation is emerging as a potential catalyst for accelerating adoption, but quantitative understanding of its impact is still limited. This study aims to quantitatively analyze the influence of marketing innovation on the diffusion of clean energy technology, with a focus on market penetration among the millennial generation in Jakarta. Using a cross-sectional research design, data was collected through an online survey of 150 millennial respondents, adapting a structured questionnaire from previous studies. Data analysis was carried out using Structural Equation Modeling with the Partial Least Squares (SEM-PLS) approach to test the relationship between marketing innovation variables, consumer awareness, adoption intentions, and clean energy technology market penetration. The results of the research are expected to provide valuable insights for industry players and policymakers in designing effective marketing strategies to accelerate the adoption of clean energy technologies, as well as contributing to the academic literature on innovation diffusion in the context of the energy transition.

Overcoming technological barriers for blockchain adoption in supply chains: a diffusion of innovation (DOI)-informed framework proposal

PurposeThe integration of blockchain technology (BT) in supply chain management (SCM) is at the forefront of technological advancements, yet it faces significant barriers that hinder its widespread adoption. This study aims to delve into these challenges, employing the diffusion of innovations (DOI) theory to systematically investigate and propose a strategic framework for overcoming the technological barriers to BT adoption within SCM.Design/methodology/approachThrough a comprehensive systematic literature review (SLR) of 155 publications, complemented by rigorous content analysis and expert interviews, this research identifies and categorizes 16 primary technological barriers, including scalability and privacy issues, that impede BT integration.FindingsThe proposed framework, informed by DOI theory, outlines tailored strategies across three critical adoption stages: initiation, where the focus is on mitigating high energy consumption and scalability issues; adoption decision, emphasizing the formulating international standards for blockchain architecture, embedding abstraction layers within software projects; and implementation, concentrating on enhancing security, interoperability and system efficiency.Originality/valueThis research contributes significantly to both academic literature and practical applications. Academically, it extends the DOI theory within the SCM context and enriches the blockchain literature by providing a nuanced understanding of the specific barriers to BT adoption. Practically, it offers a roadmap for industry practitioners, delineating actionable strategies to navigate the adoption process effectively. This study not only bridges the gap between theoretical insights and practical implementations but also serves as a vital resource for policymakers and standard-setting bodies in facilitating and regulating BT adoption in SCM, thereby fostering innovation and competitive advantage in the marketplace.

Impact of intellectual property protection on enterprise supply chain resilience: empirical evidence from China’s intellectual property pilot and demonstration city policy

This study leverages China’s staggered implementation of the intellectual property pilot and demonstration city (IPPDC) policy as a quasi-natural experiment to evaluate the impact of intellectual property protection (IPP) on enterprise supply chain resilience (SCR). The empirical analysis reveals that the establishment of the IPPDC significantly enhances SCR by promoting innovation, improving technology diffusion capabilities, and fostering a cooperative culture within enterprises. Additionally, when enterprise innovation and technology diffusion are treated as threshold variables, the positive effects of IPP on SCR intensify, exhibiting a nonlinear and progressively increasing spillover effect. In contrast, the influence of IPP on SCR through enterprise cooperation follows a U-shaped trajectory, with an initial decline followed by a subsequent rise. These findings emphasize the importance of interactions between policy-makers and enterprises in strengthening supply chain responsibility. Heterogeneity analysis indicates that IPPDC policies have a stronger effect on enterprises with robust SCR, with more significant improvements in the creation of SCR than in resistance and recovery abilities. This effect is consistently observed across primary, secondary, and tertiary industries, with particularly substantial impacts in western China. Moreover, private enterprises benefit more from IPP policies than do state-owned enterprises. These findings provide valuable insights for policy-makers by demonstrating the practical implications of IPP policies beyond their theoretical constructs. This study underscores the critical role of IPP in fortifying SCR, ultimately strengthening firms’ global competitiveness and resilience amid rising geopolitical risk and global uncertainty.

Predicting the intention to install solar photovoltaic panels in emerging market: The role of consumer innovativeness, knowledge, and support for government incentives

Promoting the installation of solar photovoltaic panels at the residential level in Vietnam may effectively mitigate the electricity overload on the national grid and support the country’s sustainable objectives. However, the installation rates of this system in urban areas in Vietnam remains low despite the favorable atmosphere and the provision of several incentives. Based on the Diffusion of Innovation and Theory of Planned Behavior, this study explores the role of consumer innovativeness, knowledge, and support for government incentives on the diffusion and social acceptance of solar photovoltaic panels. A questionnaire survey was conducted to collect data for analysis. With a sample of 339 citizens in Vietnam, the partial least squares structural equation modeling approach was employed to evaluate the results. The findings revealed that consumer innovativeness was linked to social norms and knowledge. Furthermore, it was discovered that the knowledge of consumers can significantly enhance the support for government incentives and the intention to install solar photovoltaic panels. Additionally, social norms significantly influenced attitudes, ultimately resulting in an increase in the intention to install. The findings of this study could aid the nation's policymakers and institutions in formulating strategies to grow the solar energy sector, therefore facilitating the achievement of sustainable energy goals.

Contemporary Tasks for Jordanian Journalists in the Era of Artificial Intelligence

Artificial intelligence (AI) is a tremendous technological advancement that impacts journalism. The expansion of AI throughout the news industry could help manage routine tasks traditionally performed by journalists, which unburdens journalists from mundane tasks and allows them to reallocate their time to other novel responsibilities. The tasks that AI may be able to manage include news gathering, translation, fact-checking, and responding to audience inquiries. The current study focuses on new journalistic tasks for journalists in the era of AI. Based on the Theory of Diffusion of Innovation (DOI), a qualitative approach was adopted for this research, which focuses on Al-Mamlaka TV in Jordan. The research relies on in-depth interviews that were conducted among 14 journalists who work in the Al-Mamlaka TV newsroom in Amman. Informants were selected from various positions in the newsroom using a snowball sampling technique. Thematic analysis was used to determine results. The findings reveal three main tasks that journalists at Al-Mamlaka TV face in the presence of AI in their newsroom. First, the need to monitor and supervise AI-generated content. Second, the importance of dealing with data and algorithms. Last, the need to leverage their personal advantage of the creative human touch while producing news content with AI. The study provides awareness as it pertains to journalists using AI in newsrooms.

Auditing Transformation: A Model of Artificial Intelligence Adoption

Auditors using artificial intelligence (AI) offers opportunities for transforming audits, and drastically improving audit effectiveness and efficiency. Generative AI, augmented AI, and AI performing an entire audit offer possibilities for enormous cost savings and the potential to dramatically improve audit quality. Obstacles to audit adoption include AI processing opaqueness, shortage of auditors with AI knowledge, a dearth of AI audit standards, and significant AI implementation costs. This paper develops a theoretical auditor AI adoption model utilizing innovation diffusion theory (IDT) and the Technology Acceptance Model (TAM). The paper provides suggestions for facilitating auditors’ adoption of AI.

A diffusion of innovation (DOI) analysis of 3D food printing adoption among food sector early adopters

PurposeResearch on 3DFP has focused on technical developments and consumer acceptance, but the practical implications of adopting this technology from industry perspectives across food sectors are underexplored. This study aimed to uncover factors influencing 3DFP adoption and the prospects of this technology by interviewing food businesses using 3DFP in different food sectors around the globe.Design/methodology/approachThe Diffusion of Innovation (DOI) model, a process-oriented adoption approach, was utilized to understand the technological, adopter and social factors influencing 3DFP adoption in food businesses.FindingsDecisions to adopt 3DFP hinged on technology compatibility with business needs, adopters’ innovation and technology interests and perceived public interest. Early adoption cases revealed 3DFP benefits over conventional technologies in improved product design, customization, food versatility, convenience and sustainability. Interconnected barriers to adoption included high investment costs, limited technology capacity, negative consumer perception and a low adoption rate by large companies. Proposed barrier solutions by businesses encompassed improving technology scalability and leveraging food and technology familiarity alongside alternative technology labelling to increase visibility and interest by large companies and consumers.Originality/valueTo the best of the authors’ knowledge, this is the first study assessing the determinants of early adopting 3DFP, covering perspectives from different food sectors and using the DOI model. The study’s insights are valuable for food industry stakeholders: policymakers, industry leaders, food businesses and researchers. It can guide subsequent adopters’ decision-making and inform future research on technical, social and business aspects to enhance adoption in the promissory food sectors for 3DFP such as protein alternatives.

AI-driven optimisation of EHR systems implementation in Tanzania’s primary health care

Purpose This study aims to explore how artificial intelligence (AI) can be used to overcome the challenges associated with implementing electronic health record (EHR) systems in primary health-care facilities in Tanzania. It aims to assess the technological, organisational and environmental barriers to EHR system implementation and investigate the role of AI in optimising these systems for more effective health-care delivery. Design/methodology/approach The study adopts a qualitative approach, using case studies from five regions in Tanzania: Dar es Salaam, Mwanza, Morogoro, Singida and Pwani. Data were collected through 26 semi-structured interviews with health-care providers, including medical doctors, nurses, pharmacists and IT personnel. The study applied the diffusion of innovation (DOI) theory and the technology-organisation-environment framework to assess the factors affecting EHR implementation and the potential integration of AI to enhance these systems. Findings Key challenges include unreliable network connectivity, frequent power outages, insufficient training and complex system usability issues. Despite these challenges, EHR systems have improved patient data accessibility and workflow efficiency. AI presents opportunities to address these challenges, mainly through predictive analytics, AI-driven encryption for data security and personalised training modules. AI integration can enhance system reliability, usability and security, ultimately improving health-care outcomes. Originality/value This study provides valuable insights into integrating AI to optimise EHR systems in resource-constrained environments like Tanzania. It addresses a gap in the literature by focusing on how AI can be adapted to low-resource settings and provides a framework for future EHR system implementations in similar contexts. The findings contribute to the global discourse on health-care informatics and the role of AI in improving health-care systems in developing countries.

How melon farmers’ networks enable greenhouse technology adoption? A social network analysis

ABSTRACT Purpose The study aims to investigate the connections and interactions of the melon farmers in the social network related with greenhouse adoption for the cultivation. Design/Methodology/Approach This research employed the Social Network Analysis (SNA) approach from the field survey data in the dry-land areas in Indonesia. Findings The study results indicate the presence of polarity within the social networks of farmers. The proliferation of innovations is motivated by individuals who actively develop their skills and knowledge, employing a combination of experimentation and online resources to enhance their capabilities. Dissemination is a result of the extensive collaboration among farmers who are located near each other. In addition, the trust and connection among farmers who have successfully experimented and achieved results fosters a collaborative and knowledge-sharing environment. Practical Implications The results of this study provide implications for appropriate rural extension and community development strategies. Theoretical Implications This research broadens the scope of innovation diffusion theory by examining social networks and their role in the proliferation of modern agricultural cultivation technology in marginalized areas. Originality/Value The study presents empirical evidence that highlights the successful adoption of modern agricultural cultivation technologies by fringe groups. It emphasizes the significance of locally established, self-sustaining social networks in facilitating this proliferation, marking the novelty of this study, especially in developing countries.

Endogenous dynamics of rumor spreading and debunking considering the influence of attitude: An agent-based modeling approach

Rumor and debunking help create one another, but their endogenous dynamics are still worth further exploration. Relatedly, although attitude is important during the communication process, this indispensable element has been underrepresented for rumors as a specific kind of communication. The study first uses the balance logic to reveal the fundamental influence of attitude on rumor-related interactions at the individual level; Based on the innovation diffusion perspective and social judgment theory, the study constructs a conceptual framework and mathematical models of endogenous dynamics of rumor spreading and debunking considering the influence of attitude. Using an agent-based modeling approach, the study conducts systematic computational experiments. The results show that both attitude distribution and attitude interaction structure influence the endogenous dynamics, and the two types of factors interact with each other. The study explains debunking without official rebuttal endogenously, exposes debunking may not result in the intended outcome, and illustrates focusing only on rumor spreaders would always underestimate the impact of rumors systematically.

Exploring telemedicine and organizational challenges in the healthcare system: a qualitative analysis using Grounded Theory.

Telemedicine is a context-specific intervention that implies significant procedural changes in a health organization. The objective of the study is to explore healthcare professionals' usage of and perceptions towards telemedicine technology and identify the perceived factors and related process change, influencing the effective adoption of telemedicine from an organizational perspective. The study includes multi-disciplinary commentaries of a purposive sample of 31 healthcare professionals, conducted through semi-structured qualitative interviews and employs Grounded Theory and Thematic Analysis techniques to analyze the data. Telemedicine is perceived as a highly beneficial digital intervention in healthcare, focusing on the delivery of effective healthcare, and promoting healthcare equity. Healthcare professionals showed their willingness to assimilate technology into clinical decision-making, resulting in better treatment outcomes, and recommended its' adoption into mainstream healthcare as a viable approach to providing remote healthcare. The key organizational issues with telemedicine adoption were system requirements, network connectivity, non-standardized medical records, and legal bottlenecks, that can be addressed by improving infrastructural convenience, optimizing service processes, imparting training, and adopting better technical measures. The focus is on exploring factors significant for the adoption of telemedicine technology from the perspective of multi-specialties in a health organization, rather than a specific specialty, as studied in previous scholarly work. This study contributes to the theory by proposing a conceptual framework on critical factors for telemedicine adoption, integrating the theory of planned behavior (TPB) and diffusion of innovation (DOI).

Technological distinct capabilities and innovative work behavior of Omani technopreneurs: influences of strategic flexibility and self-efficacy

PurposeThis study aims to investigate the relationship between technology-distinct capabilities (TDC) and innovative work behavior (IWB) through the mediating effect of strategic flexibility (SF), to examine the behavior toward technopreneurship (BTT) among Omani small and medium-sized enterprises (SMEs). Furthermore, technopreneur self-efficacy (TSE) is investigated as a moderating variable between TDC and SF.Design/methodology/approachBased on the quantitative research design, the survey questionnaire instrument was used to collect data from SMEs’ owners and managers. Using purposive sampling, the study comprised 285 responses from Muscat, Sohar and Al-Buraimi regions. Responses were analyzed through SPSS 25 and Smart PLS 4 using structural equation modeling (SEM).FindingsThe main findings revealed a positive and significant influence of TDC and IWB on SF. In addition, SF mediates the relationship between TDC, IWB and TBB. Results showed no effect of TSE on TDC and SF. The study outlines significant theoretical and practical implications. Dynamic capability (DC) theory provided a framework for understanding the highly competitive Omani business climate. The diffusion of innovation (DOI) provides the way forward to SMEs that how they embrace and induce novel concepts, including SF.Originality/valueThe findings of the study can be used by academics and policymakers to develop policies that support SMEs’ technological innovation and adaptability. In the Omani context, policymakers and public managers can utilize this research to evaluate the different technopreneurship support programs and encourage SMEs to adopt digital technology to capitalize on the nation’s entrepreneurial dynamic.

An integrated literature review on the adoption and diffusion of multicapital accounting innovations

An integrated literature review on the adoption and diffusion of multicapital accounting innovations

Path-dependencies in the transition to sustainable biowaste valorization: Lessons from a socio-technical analysis of Sweden and Greece

Achieving sustainable biowaste management is a key challenge for cities worldwide. In this context, biowaste valorization is an indispensable option for managing unavoidable biowaste and reducing the associated methane emissions. Several innovations that enable biowaste valorization are technologically mature. However, their implementation is still limited in most cities around the world. Therefore, it is essential to better understand the different pathways towards implementing biowaste valorization. This paper presents a case-study of two countries at different phases in their transition to biowaste valorization: Sweden as a case at a mature phase and Greece as a case at a formative phase. We apply the Technological Innovation Systems framework to investigate how innovation systems for biowaste valorization develop and associated path-dependencies. Our findings show that various path-dependence lock-ins can occur at different transition phases. Our empirical insights suggest that a focus on the diffusion of certain mature innovations can support the growth of biowaste valorization systems. However, it can also lead to path-dependence lock-ins that influence the systems’ resilience to shocks. We thus recommend decision-makers to pursue balance between the rapid diffusion of mature innovations for biowaste valorization and parallel support for experimenting with more radical innovations to harness the systems’ resilience to shocks.

Consumer adoption of virtual reality for spectator sport: an adopter categorization based on the diffusion of innovation and uses and gratification theories

Consumer adoption of virtual reality for spectator sport: an adopter categorization based on the diffusion of innovation and uses and gratification theories

Capturing Psuedo-Innovation in ELT: The Analysis of implementing Differentiated Learning to suburban Private Madrasahs

The implementation of differentiated learning in private madrasahs raises a big question mark regarding the suitability between theory and practice in the field. The principle of differentiated learning, which is claimed to accommodate diversity, turns out to be far different when implemented, especially in private madrasahs that are transitioning from the previous curriculum. The main purpose of this research is to explore the illusory construction of innovation in differentiated English learning that results in pseudo-innovation. The approach used is a qualitative approach with the type of ethnography. The research was conducted in 4 private madrasahs in the suburbs of Sampit city. The research subjects were English teachers who implemented differentiated learning in the four madrasas. The stage analysis process was assisted by the theory of innovation-decision process by Everett Rogers. The results of this study show that (1) the illusion of innovation in differentiated English learning occurs because the stages of the innovation diffusion decision process cause anomalies in the process. (2) Madrasahs are forced to follow the decision of the Ministry of Religious Affairs which requires the implementation of an independent curriculum including differentiated learning which results in madrasahs being trapped in pseudo-innovation. (3) Madrasahs are registered as institutions that implement differentiated learning. However, in practice, madrasahs still adopt old learning and ignore innovations because they are not considered to be following the characteristics of the madrasah itself. (4) this research implies that it will be an evaluation material for the Ministry of Religious Affairs to pay more attention to private madrasahs in implementing differentiated learning. (5) Confirming pseudo-innovation

Beyond usability: innovation in the digital age as an antidote to social isolation

The study's objective: The article aims to evaluate the impact of life satisfaction during the COVID-19 pandemic in Brazil, considering the perception of usability of intelligent personal assistants (IPAs) and investigating possible moderations of consumer innovation dimensions in this relationship. Methodology/Approach: Field research was carried out with 515 users of intelligent personal assistants (IPAs). The results were analyzed using multiple linear regression, using the SPSS software (Statistical Package for Social Science v.22), with the application of the PROCESS macro. Originality/Relevance: This study contributes to filling a gap in the literature on the diffusion of innovation and adoption of technological products by investigating aspects of innovative consumption in a pandemic and social isolation scenario. Main Results: The research results indicate that domain-specific innovativeness (DSI) moderates the relationship between usability (SUS) and life satisfaction (LS). In contrast, innovativeness behavior (IB) moderates this relationship only with DSI maintained at medium and low levels. It was observed that, with greater usability, life satisfaction increases and is moderated by domain-specific innovativeness. For higher IB levels, LS increases more quickly. Theoretical/Methodological Contributions: Integrating concepts from theories of innovative consumption and diffusion of innovations, the study offers insights into how technology affects well-being in a global crisis. This advanced approach helps understand the mechanisms underlying the impacts of usability and innovation on human behavior. Social/Managerial Contributions: This study helps understand how IPA users can experience greater life satisfaction and social isolation during a pandemic.

Role of Cooperative Leadership in Driving Technological Innovation for Sustainable Solutions

This paper examines the critical role of leadership in fostering technological innovation within cooperatives, drawing from multiple recent studies across diverse sectors. The researcher set to determine the role of cooperative leadership in driving technological innovation and to evaluate how such leadership can facilitate the development and implementation of sustainable solutions within cooperative organizations. Descriptive survey research design was adopted for the study. To guide this study, research questions and hypothesis were formulated in line with the objectives of the study. The study was anchored on Diffusion of Innovations (DOI) Theory because of its relatedness. The instrument for data collection was a structured questionnaire. The sample size of the study was 150 selected cooperative leaders, cooperative members and external stakeholders in Awka South Local Government. Data collected were analyzed using both quantitative and qualitative methods. Inferential statistics such as chi-square tests was used to test the hypotheses. The findings revealed that there is a 5 % significant effect between strategic Cooperative leadership and technological innovation that can foster sustainable solutions within the Cooperative organization with a critical value of 5.991. The study therefore, recommends that cooperatives can strengthen their leadership capabilities, adopt innovative technologies, and achieve sustainable growth while remaining aligned with their core values.