Role In Adoption Of Technology Research Articles

The Relevance of Trust in the Implementation of AI-Driven Clinical Decision Support Systems by Healthcare Professionals: An Extended UTAUT Model

Background. In the healthcare sector clinical decision support powered by artificial intelligence is rapidly expanding. It can help medical personnel make better-informed decisions while saving time. The opposition of healthcare professionals to AI initiatives in the healthcare industry might prove to be a significant barrier, due to the combination of optimism and fear related to the technology. Professionals in the sector may be apprehensive about AI due to job security worries and the general public's lack of faith in the technology. Objective. A primary objective of this study is to examine how trust influences healthcare professionals' willingness to use AI-driven CDSS, particularly at well-known tertiary hospitals in Delhi-NCR region India, as well as to expand the Unified theory of acceptance and use of technology (UTAUT) by including constructs such as perceived risk and self-efficacy. Method. The UTAUT model provided the basis for the construction of a new model, which was developed by integrating the variables of perceived risk and self-efficacy. The model had eight components which were assessed using 31 survey questions. Two hundred and twenty participants filled out the surveys for the study. Results. The findings indicate that there are significant relationships between (PE) and (AI), (EE) and(AI), (PR) and (AI) and (SE) and (AI). This study reveals that trust fully mediates the relationship between AI which means that fostering trust in AI technology is essential for the successful adoption and implementation of AI-CDSS technology. There was no significant relationship between social influence and adoption of AI-powered CDSS nor between intention to adopt and actual use. Conclusion. The result of this study shed light on the factors influencing healthcare professionals to adopt AI-CDSS. The outcomes of this study provide insight into how individuals' performance expectancy, effort expectancy, social influence, perceived risk, and self-efficacy determine whether they embrace AI-CDSS. This study highlights the importance of trust in the deployment of these technologies in the healthcare sector. Furthermore, it highlights the significance of addressing perceived risk and self-efficacy. Although social influence plays a crucial role in technology adoption its impact may be limited in the case of AI-CDSS deployment in India. This could be due to the complexities of AI-CDSS implementation, the requirement for training, or the fact that healthcare personnel are unaware of the benefits of AI-CDSS or have limited exposure to it.

Digital transformation in emerging markets: the role of technology adoption and innovative marketing strategies among SMEs in the post – pandemic era

Purpose This study aims to evaluate the impact of the COVID-19 pandemic on technology adoption, innovation and business relationships among small and mid-sized enterprises (SMEs) in Ghana. Specifically, it examines how technical know-how and innovative sustainable marketing strategies mediate and moderate these relationships, offering insights into the broader dynamics of digital transformation and sustainability in emerging markets. Design/methodology/approach The study surveyed management and employees from SMEs in Ghana’s financial sector. A Partial Least Squares Structural Equation Modeling approach was used to test the constructs’ reliability and validity and evaluate the hypothesized relationships with 357 completed questionnaires out of 452 total responses gathered. Findings The results indicate that post-pandemic, challenges in maintaining business relationships and the lack of technical know-how have driven the increased adoption of technology and innovative sustainable marketing strategies. These factors have also contributed to improved hygienic practices among SMEs. The study concludes that these changes are crucial for accelerating digitalization and ensuring long-term sustainability for SMEs in developing countries, especially in the wake of pandemic disruptions. Originality/value This study provides a novel contribution by exploring the intersection of emerging technologies such as mobile applications and blockchain within the context of pandemic-induced digital transformation. The findings emphasize the importance of these technologies in shaping the future growth and sustainability of businesses. Additionally, the paper highlights both the limitations of the current study and proposes future research directions to further advance the understanding of digital transformation in emerging markets.

Dissecting environmental efficiency: The role of technology adoption and usage

How could firms best reduce their environmental impact? Should they change technology? Or could they do better with what they already have? This paper shows that one size does not fit all. We analyse a sample of polluting production plants (i.e. installations) regulated under the EU Emission Trading System. We employ a mixture model estimation to dissect environmental efficiency into a technology adoption component (what type of technology is used) and a technology usage component (how a technology is used). Our installation-level analysis shows that the share of installations adopting frontier technologies is about 21%. We also find that the average environmental efficiency gains that installations could reach by improving technology adoption and technology usage are 75% and 80% respectively. The analysis of balance-sheet data on parent companies reveals that better environmental technologies are adopted by larger, listed, multi-installation and international companies, while older firms and firms with higher intangible assets intensity more commonly show improved technology usage.

The Role of Technology Adoption in Scaling Startupreneur Business Models in the Digital Economy

Technology adoption plays a vital role in the digital business landscape, enabling startupreneurs to scale their businesses efficiently. In the era of the digital economy, adopting the right technologies can drive growth and enhance competitiveness. This study aims to understand how technology adoption contributes to the scaling of startupreneur business models. Using a mixed-methods approach, data was collected through quantitative surveys and in-depth interviews with 200 startupreneurs. The results indicate that cloud computing, e-commerce platforms, and mobile apps are the most impactful technologies, with cloud computing driving 30% business growth and 20% cost reduction. These findings highlight the importance of strategic technology adoption for startupreneurs seeking to expand their operations. The study offers practical insights into how startupreneurs can leverage digital tools for sustainable growth, and future research should explore the long-term impacts of emerging technologies like AI and blockchain.

The nature, causes, and effects of skepticism on technology diffusion

Although skepticism is involved in technical change and scientific revolutions, surprisingly, the literature lacks a systematic analysis of the different forms, causes, and roles of skepticism in the diffusion of innovation.This paper defines, identifies and models different types and causes of skepticism and their role in technology adoption. The paper identifies and studies: skepticism involving the characteristics of the technology and the producer; skepticism that induces to disbelieve market signal; and comparative skepticism i.e., skepticism produced by an unbalance relationship between the perceived complexity of the problem and the solution.Among the theoretical findings of the paper and regarding skepticism on market signals, we found that the non-differentiability and oscillation of diffusion rates occur if individuals use the information on diffusion rates as proxy of the probability of technology working and modify this probability according to their skepticism.

Communication Identity of Maize Farmers in the Digital Immigrant Group in Accepting Innovation through the Utilization of Digital Petani Apps

The development of digital technology has brought significant changes in the agricultural sector, including through the peTani Apps digital application that is expected to help farmers. However, adopting this technology is not always easy, especially for farmers in the digital immigrant group. This study aims to identify and examine the process of forming a communication identity of corn farmers in the digital immigrant group who accept innovations through digital peTani Apps. The research method used is descriptive qualitative with a case study approach processed and analyzed using NVivo. The research applied Michael Hecht's Communication Theory of Identity (CTI) in farmers' interaction with new technology. The results showed that farmers' communication identity levels, including personal identity, enactment identity, relational identity, and communal identity, play a significant role in technology adoption. Personal identity resulted in the finding that many farmers felt insecure and inexperienced in using advanced technology, which led to discomfort in using the application. Enactment identity shows that peTani Apps' digital technology innovation has not become part of farmers' daily routine due to difficulties in navigation and understanding functions. Relational identity reveals that community support and social relationships are crucial in adoption. Communal identity reflects resistance to change in communities with strong traditional norms. Overall, the app has not been widely adopted by digital immigrant groups. Social, cultural, and economic factors influence the adoption rate of these technologies, so more targeted strategies and greater support are needed to encourage equitable adoption among farmers.

Role of technology adoption on summer marigold (Variety-Seracole) production through front line demonstration in the Nagaon district of Assam

Role of technology adoption on summer marigold (Variety-Seracole) production through front line demonstration in the Nagaon district of Assam

Optimizing the Detective's Burden: A Data-Driven Approach to Enhancing Investigative Productivity

This study examines the critical issue of detective workload and its impact on investigative effectiveness. While detectives play a vital role in solving crimes and upholding justice, they often face overwhelming workloads that can hinder their ability to focus on core investigative activities. The overall aim of this study is to utilize workload analysis to gain a comprehensive understanding of detective work and identify evidence-based strategies to increase their productivity in criminal investigations. This research analyzes detective workload through a data-driven lens, exploring the challenges and opportunities for improvement. Main topics the impact of heavy workloads on detective productivity and well-being. Current workload distribution and its limitations Innovative strategies for workload management (e.g., data-driven case prioritization, workload sharing). The role of technology adoption (e.g., digital forensics tools, data analysis platforms) in streamlining investigations. The importance of work-life balance for detective well- being and performance. Key Arguments traditional investigative practices and an imbalance between administrative and investigative tasks significantly impede detective productivity. Implementing data- driven workload management strategies can optimize detective time allocation and improve case resolution rates. Utilizing advanced investigative technologies equips detectives with efficient tools to analyze evidence and identify leads. Promoting a healthy work-life balance for detectives reduces stress and burnout, ultimately contributing to investigative effectiveness. Methodology this research employs a comprehensive approach, drawing on. Literature Review analyzing existing research on detective workload, productivity, and innovative investigative techniques. Policy Review: Examining existing policies and practices related to detective workload management and technology adoption within police departments. Significance this research has significant implications for policymakers, police leadership, and detectives themselves. Policymakers can leverage the findings to develop evidence-based strategies for optimizing detective workload and improving investigative efficiency. Police leadership can utilize the recommendations to implement data-driven workload management practices and equip detectives with the necessary technology and training. Detectives can gain valuable insights into workload management strategies and advocate for initiatives that promote well-being and enhance their investigative capabilities. Audience this research is targeted towards a broad audience, including: Policymakers involved in criminal justice reform and police department funding. Police leadership seeking to enhance detective productivity and improve investigative outcomes. Detectives and law enforcement professionals seeking to optimize their workload and improve investigative efficiency. Academic researchers interested in the field of criminal justice and police work.

Environmental management control system, blockchain adoption, cleaner production, and product efficiency on environmental reputation and performance: Empirical evidence from Indonesia

This research investigates the intricate relationships between Environmental Management Control Systems (EMCS), Blockchain Adoption (BCHA), Cleaner Production (CLPR), Product Efficiency (PROD), Environmental Reputation (ENRE), and Environmental Performance (ENPE) within organizational contexts in Indonesia. The study aims to shed light on the role of technology adoption, sustainability practices, and reputation management in shaping environmental outcomes. Methodologically, the research employs a quantitative approach, utilizing survey data from diverse organizations. Structural equation modeling (SEM) analyzes the data and tests the hypothesized relationships. The findings reveal significant positive relationships between EMCS and BCHA, EMCS and CLPR, EMCS and PROD, BCHA and CLPR, BCHA and PROD, and BCHA and ENRE. Cleaner Production demonstrates a substantial positive impact on both ENRE and ENPE. Product Efficiency influences ENRE positively. However, the direct influence of PROD on ENPE is found to be inconclusive. The study contributes to understanding sustainability dynamics by highlighting the pivotal roles of EMCS, BCHA, CLPR, and PROD in driving environmental reputation and performance within organizations. Furthermore, it underscores the significance of aligning perceived reputation with tangible environmental commitment. Limitations include potential data constraints and the challenge of establishing causality due to the study's correlational nature. Future research is encouraged to explore diverse contexts, conduct in-depth case studies, and investigate moderating variables. This research offers novel insights into the complex interplay between technology adoption, sustainability practices, reputation management, and environmental outcomes, providing valuable guidance for organizations striving to navigate the sustainability landscape in an era of heightened environmental awareness.

Assessment of impacts of adoption of improved sweetpotato varieties in Ghana: accounting for differences in male and female farmers

New agricultural technologies, such as high yielding varieties and improved agronomic practices could significantly increase agricultural productivity leading to improved welfare of those who participate in them. Feedback effects on adoption of agricultural technologies in low-income countries are important in prioritization of funding to the agricultural sector. Through a multistage randomized sample of 526 farmers and employing propensity score matching technique to correct selection bias, the study assessed the effect of adoption of improved sweetpotato varieties on farmers’ yields and incomes comparing separate effects on men and women farmers. Results revealed that income and yield increased with adoption. Men benefited more than women due to access to extension, improved varieties and productive inputs. Nonetheless, men and women had significant increases in yield and income. Results also showed that land and credit play a role in adoption of technologies. Supporting research extension systems to promote and disseminate improved varieties is recommended.

The Role of Technology Adoption, Tax Base Expansion, Taxpayers' Education, Customer Service, and Strategy Communication on the Organizational Performance of Kenya Revenue Authority

The Role of Technology Adoption, Tax Base Expansion, Taxpayers' Education, Customer Service, and Strategy Communication on the Organizational Performance of Kenya Revenue Authority

Perceptions of Stress Among Pedestrians in Fully Automated Vehicle Transportation Systems

Fully automated vehicle (FAV) technology is recognized to offer a variety of benefits, such as increased safety, a drop in emissions, and better quality of life for people with disabilities or without a driving license. Despite the benefits, it has not been widely adopted. Demographics and user personalities play a large role in technology adoption, but nonusers’ involvement is often overlooked. Considering the current attention on FAV technology and its users, pedestrians (who do not use it) are understudied. In future, FAVs may be deployed once they have been proven safe and accepted by the public. This study aimed to provide insights into how pedestrians’ emotional perceptions might influence their adoption of FAVs. Within-subject research was conducted using virtual reality-based videos to assess pedestrians’ perceptions of stress. Videos showed identical first-person-view walking scenarios of various spatial contexts and activities in urban transportation networks comprising all-human-driven vehicles (HDVs) and futuristic all-FAVs. The results indicated that pedestrians’ perceptions of stress differed significantly by vehicle type, spatial context, and activity. Further, they differed significantly by gender and whether walking was perceived as safe. Walking in all-FAV transportation systems was perceived as more stressful than walking in all-HDV systems. Women tended to report higher levels of stress. Crossing roads and shared pathways were also associated with higher levels of perceived stress. Research related to pedestrians’ emotional perceptions could have important implications for future policymaking and urban planning.

The role of technology adoption in sustainable development: Overview, opportunities, challenges, and future research agendas

Digital technologies and innovative solutions play a crucial role in promoting sustainable development. However, it is important to acknowledge that these technological advancements may have both positive and negative impacts on sustainability. Therefore, it is imperative to gain a comprehensive understanding of the adoption of these technologies by individuals and organizations to achieve better sustainability outcomes. In this study, we aim to identify and analyze the key opportunities and challenges associated with technology adoption in sustainable development. Furthermore, we have identified several research gaps that need to be addressed in the future, and we have proposed various research agendas. These research agendas have been classified into four major categories. The first three categories are based on the three pillars of sustainability, namely the environment, the economy, and society. The fourth category is a general category that includes research agendas that can be applied to any of the three dimensions of sustainability. The insights drawn from this study provide several theoretical contributions to the existing literature and offer valuable practical implications for practitioners, policymakers, and developers.

Understanding the Importance of Cultural Appropriateness for User Interface Design: An Avatar Study

While previous research established that culture plays an important role in technology adoption, there is only limited work on the role of cultural appropriateness in user interface design for users from a specific background. In this study, we focus on the case of avatar design as a user interface element for facilitating positive user experience. Building on the theoretical lenses of social response theory and the “Computers Are Social Actors” paradigm, we develop a research model to investigate how cultural appropriateness of avatar design is a vital driver for users’ trust. We evaluate our research model by means of an online experiment ( n = 313) in the context of online health advice for users from Saudi Arabia. The avatars differed in appearance (Arab, non-Arab), gender (male, female), and clothing (athletic, medical, everyday). Our results show that Arab avatars exhibited significantly higher cultural appropriateness than non-Arab avatars. Furthermore, participants were more inclined to select an Arab avatar (88.2%) that matched their gender (77.3%). Confirming the critical role of cultural appropriateness, our study demonstrates the importance of carefully considering the target audience in designing user interfaces.

Does innovativeness matter in technology adoption? Addressing pre-service teachers' intention to use ITs

This study aims to identify the factors influencing pre-service teachers' use of information technologies in educational settings and to validate a technology acceptance model that is extended by employing variables related to innovativeness. The data were collected from 1819 pre-service teachers studying in 12 different teacher education programs of a state university. For the analysis, PLS-SEM technique was employed. The results showed that the most influential construct on intention was the perceived usefulness, and the strongest relationship was found between social influence and perceived usefulness. In addition, the relationships between openness and the core technology acceptance constructs were found to be significant. These findings suggest that the openness to change trait is crucial for instructors and the opinions of people who are important to pre-service teachers and social pressure are the primary factors influencing their views in performance increase they can achieve by using technology. Accordingly, social norms, motivational-emotional factors and personality traits regarding innovativeness may have a vital role in technology adoption both theoretically and practically.

Land Fragmentation, Technology Adoption and Chemical Fertilizer Application: Evidence from China

Although it has been widely recognized that land fragmentation has increased chemical fertilizer application, little is known about the role of technology adoption in mitigating these adverse effects. To empirically examine the relationship between land fragmentation, technology adoption and chemical fertilizer application, we developed a mediation model. We applied our analysis to a survey data set encompassing 1388 farm-level samples collected in 14 Chinese provinces in 2019. Our study demonstrated that land fragmentation can not only directly increase chemical fertilizer application but also indirectly increase it by hindering the adoption of agricultural mechanization technologies (AMT’s) and soil testing fertilization technologies (STFT’s). Both are recognized as potent drivers of fertilizer use reductions. Moreover, the adoption of information and communications technologies (ICT’s) can help mitigate the negative effects of land fragmentation on technology adoption, thus reducing chemical fertilizer application intensity (CFAI). However, the direct effects of land fragmentation on CAFI was unaffected by ICT’s. Our findings suggest that ICT’s have revolutionized farmer recognition, promotion and adoption of agricultural technologies by increasing awareness and diffusion of agricultural technology information.

Small and Medium Enterprises (SMEs) facing an evolving technological era: a systematic literature review on the adoption of technologies in SMEs

PurposeThis paper aims to map the influential concepts on technology adoption in Small and Medium Enterprises (SMEs) through conducting a systematic literature review and finding a better understanding of the current body of knowledge.Design/methodology/approachA systematic literature review approach is taken here, which includes the following steps: Determination of keywords and strings, selection of databases, setting inclusion and exclusion criteria, conducting the search in chosen databases over a specific period of time. This process has led to the final count of 349 peer-reviewed articles being studied, and the results are analyzed quantitatively and qualitatively.FindingsAs a result of the study, 11 categories of influential concepts on technology adoption are identified by reviewing literature from the past decade. This article indicates how fragmented the literature is and how it concentrates on studying the impact of only a limited number of categories of concepts. The scatted frameworks (theoretical and conceptual) and weak application of the used theories found in this research also highlight the need for the development of a framework that looks into technology adoption as a dynamic process due to the dynamic nature of new technologies today.Research limitations/implicationsBased on the above findings, future research avenues are to look into technology adoption from a process perspective, to dig into less researched influencing concepts such as infrastructure, regulations, strategy and resources and their role in adoption of technology in SMEs as well as development of a framework for technology adoption that is aligned with these elements.Practical implicationsPractitioners and policymakers will benefit from finding a helicopter view of the barriers and supporting factors throughout their technology adoption journey. The knowledge they gain from this study will better prepare them in building tools they need for adopting technology in their organizations and provide an in-depth insight to what elements can affect their journey.Originality/valueThis review provides an insight into the current body of knowledge on the topic, which researchers can benefit from constructing an in-depth understanding of the state of research as well as influencing concepts of technology adoption in SMEs. Moreover, it adds value in building up the knowledge of technology adoption in today's dynamic world of digitalization.

Analysis of role performance and effectiveness of dairy extension service providers in Karnataka State

Dairy extension services delivery system providing access to services and critical inputs plays a cardinal role in adoption of technologies by the farmers for improved livestock productivity. In a pluralistic environment, multiple dairy extension service providers extends various services and inputs to the dairy farmers. In this context, the present study was undertaken to assess the role performance of various dairy extension service providers and their effectiveness in Karnataka State. A total of 400 dairy farmers who were availing the services from different extension service providers were selected as respondents for the study using multi-stage random sampling method. The Department of Animal Husbandry and Veterinary Services (DAH&VS) of the State played a predominant role in providing ‘breeding services’ (87.25% A.I & 90.00 P.D), ‘preventive services’ (vaccination 86.00%, deworming 89.00%, and 76.00% disease surveillance) and ‘curative services’ (82.50%). Whereas, the Dairy Co-operative Societies (DCS) played a vital role in extending assured ‘marketing services’ (94.00%), ‘input services’ (fodder seeds 86.50%, feed supplements 89.25%), ‘implementation of dairy development schemes’ (86%) and provision of ‘extension advisory & training services' (84.50%). The effectiveness of service providers as perceived by the dairy farmers as per the weighted mean score indicates that DAH&VS was found more effective in extending ‘health care services’ (278.67) and ‘breeding & reproduction services’ (274.26), whereas, DCS were more effective in extending assured ‘marketing services’ (289.73), providing ‘input support services’ (278.33), ‘implementation dairy development schemes’ (274.53) and provision of ‘extension advisory & training services’ (264.35). The present study concludes that most of the dairy extension service providers played a significant role in extending different dairy extension services and inputs to the farmers. However, concerted efforts need to be made by all the stakeholders for possible convergence among them in reaching out to the dairy farmers and providing emphasis on ‘dairy extension education services’ in addition to ‘providing inputs & support services’ to the dairy farmers.

Attitudes and Behaviors of Egyptians Towards E-Payment Services

Because of the increasing prevalence of e-payment services across the globe, it is vital to understand what affects how and to what extent people utilize them. A survey was distributed to students and staff at Ain Shams University in Cairo, Egypt. Theoretically, the TAM model, TRA model, and social norms play a role in technology adoption. Most of the survey results are found to be consistent with those of western societies. Specifically, six constructs relating to adoption and four demographic backgrounds were tested. Usage was measured by three questions. A bivariate analysis indicates all constructs, i.e., incentive, perceived usefulness, perceived ease of use, social influence, perceived risk, and perceived trust, are significant. Regarding demographic variables, it is also found that age, working status, education, and gender relate to e-payment usage. However, gender and perceived usefulness are most important from the multivariate analysis. Since the study was conducted in a university environment and in English, a larger, more diverse sample is recommended for further research in Egypt.

Adopting technology in schools: modelling, measuring and supporting knowledge appropriation

ABSTRACT Integration of technology in schools rests on effective teacher education programmes that help teachers create new teaching and learning methods and adopt them for classroom use. Social learning processes play a key role in this, but there is a lack of understanding of their role in technology adoption and in evidencing them in teacher education programmes. Using the knowledge appropriation model, we propose a self-report questionnaire instrument to evidence knowledge creation and learning practices during training. With a sample of N = 109 in-service teachers participating in the Teacher Innovation Laboratory, a teacher professional development programme that is built around school−university co-creation partnerships, we demonstrate the instrument to be reliable and to differentiate between groups who completed different programmes. The instrument predicted intended adoption of technology-enhanced learning methods beyond individual level constructs, highlighting the important role that social practices play for the eventual adoption of technologies in the classroom.