Adoption Of Innovations Research Articles

The Impact of Farmers' Social Lifestyles on Agricultural Sustainability in Rural Area of Turkey

This study investigates how farmers' social lifestyles influence agricultural sustainability in rural Turkey. Through data analysis from 312 producers across five provinces, we examine how participation in social activities such as religious gatherings, café meetings, and agricultural fairs shapes farming decisions and sustainability outcomes. Using logistic regression modeling, we find that social network participation significantly impacts agricultural performance and sustainability practices. Results reveal that different types of social engagement lead to distinct patterns of innovation adoption and resource management. Coffee-house and religious gatherings influence not only sales decisions but also agronomic practices, such as adopting new technologies and innovative methods. The lack of female involvement and potential pathways for their integration are also important. This research provides crucial insights for policymakers seeking to leverage existing social networks to promote sustainable agricultural practices in rural communities.

Behavioural Insights into Dairy Farmers’ Adoption of Feeding Innovations

Behavioural Insights into Dairy Farmers’ Adoption of Feeding Innovations

BS SO02 - A systematic review to summarise and appraise the reporting of surgical innovation: A case study in robotic Roux-en-Y gastric bypass

Abstract Background Robotic Roux-en-Y gastric bypass (RRYGB) is an innovative alternative to the laparoscopic approach, however its clinical benefits are uncertain. The Idea, Development, Exploration, Assessment and Long-term follow-up (IDEAL) framework was developed to improve the evaluation of surgical innovations alongside their adoption into clinical practice. Studies investigating the benefits of RRYGB have been published, however the reporting quality and robustness of literature has not been assessed. The aim of this systematic review was to summarise and appraise the reporting of RRYGB as a case study of a surgical innovation in relation to the IDEAL framework. Method Systematic searches for primary studies evaluating totally RRYGB were undertaken. Their IDEAL stages were determined using a standardised algorithm. Information pertaining to study characteristics, governance/ethical factors, patient selection, demographics, surgeon expertise/training, technique description and outcomes were extracted. A narrative summary was formulated, with descriptive statistics and data arranged chronologically. All methodology was done in accordance with PRISMA guidance. Results Fourty-seven studies published between 2005-2024 were included: case report (n=1), case series (n=11), non-randomised comparative (n=28) and retrospective analysis of registry databases (n=7). IDEAL stages were assigned as follows: stage 1 (n=1), stage 2a (n=6), stage 2b (n=40), stage 3 (n=0), stage 4 (n=0). There was a lack of sequential progression through IDEAL stages as time progressed since the inception of RRYGB. There was incomplete and inconsistent reporting of governance, ethics, patient selection criteria, surgeon expertise/training and technique description. Outcomes were heterogenous and rarely corresponded to progress through the IDEAL model of surgical innovation. Conclusion Reporting of RRYGB literature correlated poorly with IDEAL recommendations. This indicates poor reporting quality of available literature, impeding the ability for surgeons to draw meaningful conclusions from available evidence. This also complicates patients’ ability to take part in shared decision-making and give informed consent. Future studies should report findings in a structured way using IDEAL guidance or a similar reporting standard. This will ensure future research is transparent, robustly designed, prospective, uses COSs and follows an ethos of incremental learning. This may reduce research waste and the premature adoption of surgical innovations, ensuring their safe introduction into clinical practice.

Exploring the impacts of risk perception and risk management planning on innovation orientation: a PLS-SEM approach

PurposeAlthough risk and innovation are often linked, current studies exploring the correlation between these terms are scarce. This study empirically examines the relationship between construction firms’ risk perception, risk management planning and innovation orientation.Design/methodology/approachA conceptual framework was formed through the literature and validated by the partial least squares structural equation modeling (PLS-SEM) technique, employing the data collected from 182 practitioners working in the Vietnamese construction sector.FindingsThis study highlighted that innovation orientation can be categorized as creation and adoption. The findings indicated that while risk perception can hinder innovation creation, effective risk management planning can mitigate the adverse effects. The findings also highlighted that the focus on innovation adoption will negatively affect innovation creation. Additionally, the findings showed that risk management planning has a positive relationship with innovation creation.Originality/valueThis study fills the research gap by explaining why innovation creation is often prioritized by innovation adoption, as risk perception acts as a deterrent. The results imply that construction firms should balance adopting innovations and fostering an environment conducive to innovation creation. It is recommended that these firms invest organizational resources in forming effective risk management plans to create a more secure environment for innovation creation.

Evaluating the Role of AI in Grants Management: Integration and Adoption of Technology and Innovation

The integration of artificial intelligence (AI) into grant management has the potential to revolutionize how organizations handle the application process, budgeting, reporting, and stakeholder engagement. This qualitative study explores the experiences of grant managers, financial officers, and other stakeholders in adopting AI tools. Through interviews and thematic analysis, this research identifies the benefits, challenges, and implications of AI in the grant management process. The findings suggest that while AI can enhance efficiency and decision-making, successful integration requires careful planning, training, and change management.

Challenges of innovation management in health system organizations: evidence from Germany

ABSTRACT The introduction of innovations poses particular challenges for organizations in the healthcare sector. These can be analyzed based on adoption and diffusion theory. In this study, a two-stage qualitative research design consisting of expert interviews (n = 13) and 3 workshops (n = 26) was used to analyze the experiences of healthcare professionals and related disciplines concerning innovation perception and communication and to derive management challenges for organizations. As part of the interview analysis, a total of 489 text segments were deductively assigned to the diffusion process categories of innovation (n = 100), process (n = 15), social system (n = 15) and information exchange channels (n = 59), and a further 219 text segments, synthesized into 18 categories, were inductively identified as management challenges. The results were validated during the workshop and expanded to include findings on innovation transfer and innovation perception. It was shown that digital innovations in organizations in the healthcare system context are associated with high expectations and that these can be influenced by various interacting communication partners and channels. There is a growing impression that the adoption and diffusion processes of telemedicine and digital innovations on an individual, social and organizational level are more subliminal than previously assumed.

The impact of FinTech/Blockchain Adoption on Corporate ESG and DEI Performance

Monitoring a company's efficiency is one of its primary responsibilities. There are many approaches in our contemporary society that either use IT or the conventional technique. Methods for measuring efficiency fall into three primary categories: parametric, nonparametric, and ratio indicators. We prioritize a firm's inputs and outputs when choosing metrics to measure efficiency. Establishing objectives and goals in entrepreneurship necessitates a thorough comprehension, appreciation, and knowledge of sustainability, and assessing the economic growth quality of a corporation is an essential task for theoretical and empirical sustainability assessment. When measuring the efficiency of entrepreneurship in terms of achieving desired values of macroeconomic indicators (e.g., sustainable economic growth objectives), data envelopment analysis (DEA), a widely used technique in efficiency analysis, has taken into account the economic, environmental, and social impact of entrepreneurship as the three dimensions of sustainability. The objective of this paper is to test the influence of FinTech/Blockchain adoption on corporate ESG and DEI performances using a novel DEA approach for sustainable development assessment. It highlights the significance of using a scalable technique for ESG efficiency study and gives scholars a more thorough viewpoint on the subject. In a collection of 50 enterprises, a DEA model was utilized for the analysis. For sustainable performance assessment using the proposed DEA technique, we defined as inputs six financial metrics, and as outputs 11 ESG/Blockchain adoption, and four DEI quality metrics to measure the firm’s efficiency. The annual business data was gathered between 2017 and 2023. In all country situations we discovered that, when DEI initiatives mediate, there is a strong correlation between ESG corporate performance and the quality of economic growth (particularly in the innovation and integrity blockchain adoption performance success metrics). Our study provides additional in-depth details on the FinTech/blockchain adoption environment in comparison to the findings of previous researchers. The sustainable entrepreneurship performance (a latent variable regarded as a dependent target factor) is calculated using eight (8) factors as observed variables, which is the first to consider the dynamics of ESG/BCA and DEI quality metrics as DEA outputs. The study also examines the mediating role of DEI corporate initiatives. By conducting an empirical investigation, the suggested scalable framework makes it evident which company is more efficient in moving toward sustainability, assisting corporate management in increasing the effectiveness of economic growth.

The adoption of fast payment systems (FPS) in Latin America: the role of financial literacy and cash-related beliefs

PurposeIn this paper, we ask: how do individual factors affect individuals’ intentions of adopting fast payment systems (FPS)? We examine the role of financial literacy and beliefs about cash as individual-related variables that complement the technology acceptance model (TAM) in explaining the individuals’ intention to adopt financial innovations.Design/methodology/approachWe surveyed consumers in 11 Latin American countries to measure relevant variables. By applying structural equation modeling, we extended the TAM. We demonstrated that financial literacy and beliefs about cash contribute to developing a fine-grained understanding of what stimulates individuals’ adoption of financial innovations like FPS.FindingsOur results support the claim that individuals with higher levels of financial literacy exhibit a higher intention to adopt FPS through the mediation role of beliefs about cash, perceived usefulness, perceived ease of use and attitude.Practical implicationsTo improve FPS’s acceptance probability, designers must add highly usable platforms. However, it could be more important to increase the perceived usefulness of FPS as the system competes directly with traditional payment methods such as cash. If individuals exhibit strong positive beliefs about cash, their attitudes and intentions of adopting FPS will decrease. In addition, policymakers and designers may modify beliefs about cash individuals exhibit by identifying and intervening in their determinants (e.g. financial literacy).Originality/valueBesides technology-related factors, we demonstrate that beliefs about alternative technologies (e.g. cash) influence the intention to adopt financial innovations like FPS.

Bridging the AI Divide: Human and Responsible AI in News and Media Industries

Artificial intelligence (AI) is revolutionizing media and journalism, reshaping processes, content, and audience relationship. This editorial report discusses the opportunities and challenges AI brings to these industries raised by this collection of studies, emphasizing the importance of integrating ethical principles and human-centric approaches to its development. These articles examine how AI reshapes content creation, distribution, and audience interaction while addressing the ethical, political, and economic implications of its integration. Key contributions include discussions on the ethical challenges posed by AI—such as bias, transparency, and accountability—and the need for robust governance structures to foster trust and fairness in AI-driven media systems. A recurring theme in this issue is the AI divide, highlighting the disparity in access to AI technologies between the Global North and South. The special issue offers insights into how this divide exacerbates existing inequalities in media production and consumption. It also advocates for interdisciplinary approaches and collaborative efforts to ensure AI's benefits are equitably distributed across geographical and socio-economic contexts. By exploring both the opportunities and perils of AI adoption in media and news industries, this special issue serves as a comprehensive examination of the evolving relationship between AI, media, and society, offering pathways for responsible innovation and inclusive AI adoption worldwide.

Strategy for Improving Business Performance in Micro and Small Enterprises through Innovation and Digitalization

This study aims to examine strategies for enhancing business performance in micro and small enterprises (MSEs) through the integration of innovation and digitalization. In an era where digital transformation has become critical for competitiveness, MSEs face unique challenges due to limited resources, constrained access to technology, and often limited technical expertise. Using a qualitative approach through library research and literature review, this study synthesizes current research on the role of innovation and digital adoption in boosting productivity, expanding market reach, and improving operational efficiencies in MSEs. Findings reveal that innovation and digitalization not only facilitate access to broader customer bases but also enable cost-effective marketing and streamlined operations. Additionally, the analysis indicates that overcoming barriers such as technology adoption costs and skill gaps is essential for successful digital transformation in MSEs. Supportive policies, digital literacy training, and partnerships with technology providers emerge as critical components to foster a conducive environment for these enterprises. The study contributes to the ongoing discourse by identifying key success factors for MSEs embarking on digital and innovative transformations. Furthermore, it provides recommendations for policy makers, business owners, and stakeholders to enhance MSE resilience and competitiveness in a digitalized economy. This research underscores the importance of aligning digital strategies with business goals to ensure sustainable growth and adaptation in a rapidly evolving market landscape.

Exploring the acceptance of mixed reality technology innovation among mining industry workers

Mixed Reality (MR) technology is an innovative technology that has the capability to transform and boost productivity in the mining industry. At the same time, the scarcity of guidelines and research in examining the acceptance of MR technology innovation in the mining sector could make the adoption of MR technology innovation unpredictable. Therefore, in order to support the successful adoption of MR technology innovation in the mining sector, this manuscript is designed to better understand the factors influencing its acceptance among workers. Based on the literature review, five factors are hypothesized to influence the acceptance of mining industry workers regarding MR technology innovation. The factors underwent testing on a sample of 253 mining industry workers, which was obtained via an office-intercept survey and processed using SmartPLS software. The model has proven to be highly robust, as indicated by its outstanding scores in validity, reliability, multicollinearity, and goodness of fit. The results from the analysis indicate that attitude, perceived usefulness, and perceived compatibility are significant factors influencing the acceptance of MR technology innovation. While perceived novelty is an important factor affecting attitude, it does not significantly impact the acceptance of MR technology innovation. Moreover, perceived ease of use was not found to be a significant factor in influencing the attitude and intention to adopt MR technology innovation. This research offers both theoretical and managerial implications for its findings.

Mendekatkan Rumput Laut ke Masyarakat: Program Sosialisasi dan Pendidikan untuk Peningkatan Ekonomi Desa Ulidang, Majene

Ulidang Village, part of the Tameroddo Sub-district, has excellent potential in the fisheries and marine sector, although it still faces significant economic challenges. The potential of seaweed as a marine resource that has yet to be fully utilized is the focus of this activity. The main objective is to provide comprehensive counseling on the potential of seaweed, including cultivation methods, nutritional content, and business management aspects. This activity's implementation stage starts with planning, program implementation, and evaluation. The research results showed that socialization efforts, including explanations of seaweed potential, business management, and farming profit simulations, have provided the community with a deep understanding. The pretest and post-test evaluations illustrated the improvement in participants' understanding after the socialization activities. Thus, the development of seaweed farming in Ulidang Village can be a solution to improve community welfare, create jobs, and care for the marine environment. Strategic steps include strong partnerships, community empowerment, and adoption of innovations to ensure the sustainability of seaweed farming at the local and national levels.

SMEs’ dependency on large corporations’ technology for sustainability in the United States

Introduction/Background: This study discusses how small and medium-sized firms (SMEs) depend on major corporations for key technology resources that support sustainability initiatives. While SMEs contribute considerably to economic development and innovation, they typically rely on bigger enterprises for access to new technology and market possibilities. This partnership gives SMEs benefits like greater operational efficiency and global market access but also creates obstacles such as budgetary limits and technical reliance. The essay explores techniques for SMEs to effectively exploit new technologies, balancing partnership with larger firms while retaining their autonomy and competitiveness in a quickly shifting business climate focused on sustainability. Materials and Methods: The materials used for this study were sourced from different databases which include scholarly journal articles, reports, and government gazette and policy papers in the areas of business, small and medium scale enterprises, entrepreneurship, management and economics. The inclusive criteria ensured that only those articles that investigated the merits and demerits of SMEs dependence on large corporation were utilised. The review of literature was conducted on 50 documents published between 2009 and 2024. Results: The findings as revealed from the reviewed literature revealed the different merits and demerits of SMEs dependence on large corporation. Case studies of Tesla, Microsoft, Walmart, and Amazon demonstrate the intricate reliance of SMEs on major firms in the United States. Tesla's reliance on SMEs for crucial components like batteries underlines the reciprocal advantages and dangers involved, since SMEs' stability rests on Tesla's performance. Microsoft helps SMEs through initiatives that stimulate innovation and technology adoption, boosting their capabilities. Walmart gives SMEs with access to huge distribution networks, enabling sales growth. Similarly, Amazon's platform gives SMEs tremendous market reach but also brings issues in competitiveness and price. Together, these instances show the potential and challenges SMEs confront in their relationships with bigger enterprises. Discussion: Encouraging supplier growth and enhancing supply chain resilience are vital for establishing a sustainable SME environment. Policymakers may promote SMEs through mentorship programs, financial aid, and tax incentives for partnership with large enterprises. Addressing financial impediments with targeted funding and boosting skills development through collaborations with educational institutions would help SMEs embrace new technology. Additionally, establishing technology-sharing activities and developing a legal framework that supports fair competition are vital. Fostering innovation among SMEs and supporting sustainable practices will eventually boost their competitiveness and contribute to broader economic and environmental goals, benefitting both SMEs and bigger organizations. Conclusion: The reliance of SMEs on big corporations provides noteworthy hurdles and possibilities that require for the adoption of effective government involvement. Through the elimination of financial obstacles, the upgrading of technical skills, the promotion of fair competition, and the encouragement of innovation and sustainability, governments may build a fair climate that enables SMEs to prosper alongside bigger firms. This approach not only allows SMEs access to resources and contemporary technology, but it also stimulates economic variety and creativity, which in turn contributes to continuous development and competitiveness in a dynamic market.

Strategic Formation of Agricultural Market Clusters in Ukraine: Emerging as a Global Player

This study investigates the cluster approach to optimize strategies for agricultural enterprises in Ukraine, emphasizing geographical proximity as a key factor in cluster formation. The research applies Kohonen Self-Organizing Maps (SOMs) and Ward’s hierarchical clustering to classify enterprises based on storage capabilities, transport logistics, crop yields, and military risk exposure. By analyzing these factors, this study identifies distinct patterns of innovation adoption, strategic management, and economic resilience among the clusters. The findings highlight variations in competitiveness and resource efficiency, providing a detailed understanding of regional economic performance. Unlike previous research, this study offers a novel integration of conflict-related risks into the clustering methodology, revealing new insights into how military factors influence cluster dynamics. Comprehensive maps and diagrams illustrate the spatial and economic distribution of clusters, aiding in visual interpretation. The results propose strategic measures tailored to enhance agricultural productivity and competitiveness, particularly in Ukraine’s current military context. This approach offers a more adaptive framework for managing agricultural enterprises, promoting resilience and long-term sustainability in global markets.

Examining the impact of artificial intelligence on employee performance in the digital era: An analysis and future research direction

A new era of digital transformation has begun with the rapid integration of Artificial Intelligence (AI) technology with human management, changing traditional methods to people management. Due to the unprecedented digital transitions that businesses are seeing, AI integration in Human resource management (HRM) has become a significant area of focus. This systematic literature critically examines how AI is altering the landscape of its impact on employee performance in the HRM area in the era of digital transformation. The Scopus database, where 73 peer-reviewed articles are found These are subjected to integrated methodology of Bibliometric analysis, Content analysis, Epistemological analysis and Substantive analysis to identify the emerging themes, trends and contribution of theory in the AI impact on the employee performance in digital transformation era. The results identifies the major themes a) Digital Transformation in HRM for enhancing Efficiency b) Deep learning and neural networks in HRM c) Innovation and Technology adoption in HRM and d) Human resource investments. From the epistemological analysis results “Resource Based theory,” has been mentioned highest (4 times) and shows how HRM is evolving in the context of digital change. With 3 instances each, institutional theory with empirical study is being the most common method. Substantive analysis shows the Digital Transformation, Employee Performance, Work life balance, and Organisational change are the significant criteria, whereas sub-criteria included Innovation, performance management, and Techno stress. Additionally, it investigates the challenges and opportunities arising from how AI is incorporated into HRM procedures and its implications for workforce dynamics. The study has proposed a model of 3 major criteria and 14 sub criteria for future research actions based on substantive analysis. AI integration in HRM requires strategic planning, ethical considerations, and employee well-being. Organisations that recognise these consequences and handle issues will be more prepared for AI-driven HRM.

Implementing AI-Driven Bed Sensors: Perspectives from Interdisciplinary Teams in Geriatric Care.

Sleep is a crucial aspect of geriatric assessment for hospitalized older adults, and implementing AI-driven technology for sleep monitoring can significantly enhance the rehabilitation process. Sleepsense, an AI-driven sleep-tracking device, provides real-time data and insights, enabling healthcare professionals to tailor interventions and improve sleep quality. This study explores the perspectives of an interdisciplinary hospital team on implementing Sleepsense in geriatric hospital care. Using the interpretive description approach, we conducted focus groups with physicians, nurses, care aides, and an activity worker. The Consolidated Framework for Implementation Research (CFIR) informed our thematic analysis to identify barriers and facilitators to implementation. Among 27 healthcare staff, predominantly female (88.89%) and Asian (74.1%) and mostly aged 30-50 years, themes emerged that Sleepsense is perceived as a timesaving and data-driven tool that enhances patient monitoring and assessment. However, barriers such as resistance to change and concerns about trusting the device for patient comfort and safety were noted, while facilitators included training and staff engagement. The CFIR framework proved useful for analyzing implementation barriers and facilitators, suggesting future research should prioritize effective strategies for interdisciplinary team support to enhance innovation adoption and patient outcomes in rehabilitation settings.

Experiential education, customer knowledge and adoption of electric vehicles: an exploratory study

ABSTRACT While previous research has primarily explored functional and informational drivers, this study investigates how experiential education can facilitate electric vehicle adoption. Based on the BMW i3 test drive program case and blogs data, this research identifies two types of customers who participate in such programs: early adopters who have a high level of perceptual knowledge about electric vehicles but a low interest in the brand or the model, and the early majority, i.e. users with a moderate level of perceptual knowledge about electric vehicles and are hesitant to adopt it. This research contributes to the literature on customer education by demonstrating the positive role of experiential education in innovation adoption. Additionally, it contributes to the literature on customer knowledge by showing that customers do not participate in experiential education for the same reason. While early adopters compare similar models in the market, the early majority seek answers to technical questions.

Exploring consumers’ innovative products adoption process: based on technology readiness and value-based adoption

ABSTRACT This study seeks to empirically verify whether technology readiness composed of facilitating factor and inhibiting factor, affects consumer’s decision on innovation adoption. In addition, in an attempt to explore the mediation mechanism, the study sought to confirm whether technology readiness impacts consumers’ adoption decision through the dual paths, employing double sided perceptions with regards to perceived benefits and perceived sacrifices of the innovation. Finally, the study examines the moderating effect of psychological distance on the relationships between perceived benefits (and sacrifices) and adoption intention. Result of the study revealed that innovativeness affects the intention to adopt innovative products. Perceived benefits (and sacrifices) mediated the relationship between technology readiness and the intention to adopt innovative products. Finally, the study confirmed that the psychological distance moderates the relationship between perceived benefits (and sacrifices) and the intention to adopt innovative products.

Dissemination Approaches that Enhance Adoption of Climate Resilient TIMPS for Pigeon Pea, Sorghum and Green Grams Value Chains in Machakos County, Kenya

Dissemination approaches play a key role in facilitating the adoption of climate smart technologies, innovations and management practices among farmers. Various approaches used in Kenya include the top down approaches and bottom up approaches. This study was conducted to determine and validate dissemination approaches that enhance sustainable adoption of climate resilient TIMPs for Sorghum, Green grams and pigeon peas value chains among farmers in Machakos county. The objectives included: to Identify dissemination approaches for TIMPS in sorghum, green grams and pigeon peas in Machakos county, to assess the frequency of use of dissemination approaches for TIMPS by stakeholders and to determine the stakeholders’ perception on the effectiveness of the dissemination approaches for TIMPS. The study used a survey research design where 27 key informants comprising champion farmers and extension service providers were purposively selected for data collection. The descriptive analysis was conducted using the SPSS version 16. A weighted index was computed to aid comparison for various values chains and categories. The results showed that farmer-to-farmer (96%) and T&V (88.9%) dissemination approaches were the frequently used dissemination approaches whereas education institution (14.81%) was the least used dissemination approach in the three value chains in the county. Farmer to farmer effectiveness was ranked highest in Sorghum and Green grams while the T&V was highest for Pigeon peas Enhanced utilization of farmer-to-farmer, T&V and demand driven dissemination approaches for enhance adoption of green grams, pigeon peas and sorghum for improved productivity and household income.

Dynamic interactions between GDP, renewable energy, innovation, and CO2 emissions in Finland: a fourier-augmented ARDL analysis

This study uses the novel Fourier-augmented ARDL (FARDL) to explore the impact of renewable energy (REN), the number of patent applications (PA) and GDP per capita on CO2 emissions in Finland during 1990–2022. The findings reveal that in the long run, GDP rises CO2 emissions, while REN and PA decrease CO2 emissions. The FARDL short-run results indicate that both REN and PA have a significant negative impact on CO2 emissions, suggesting that higher adoption of renewable energy and technological innovation contribute to emission reductions. However, GDP does not show a significant effect in the short run, which may indicate a decoupling of economic growth from environmental degradation in the short term. Furthermore, the study highlights the need for policies that promote technological innovation and increased investment in renewable energy to achieve sustainable carbon reduction in the long term.