Adoption Willingness Research Articles

Initial Investigations into Physician Acceptance of Medical AI: Examining Trust, Resistance, Perceived Job Insecurity, and Usage Intentions.

This study evaluated physicians' attitudes towards medical AI across three Taiwanese hospitals, focusing on constructs of trust, resistance, job insecurity, and adoption willingness, with a survey based on the Dual-factor Model yielding 282 responses and a 94% response rate. Results showed positive trust in AI, low resistance and job insecurity concerns, and a high willingness to adopt AI, indicating a favorable view of AI as a supportive tool rather than a replacement. Key adoption factors were identified as regulatory standards, accuracy, workflow integration, and result clarity, providing valuable insights for future AI development in medicine.

User acceptance of health information technologies (HIT): an application of the theory of planned behavior

Health Information Technologies (HIT) has a significant chance of enhancing the standard of medical treatment, but their acceptance faces major obstacles including low adoption rates and professional hesitancy. Limited research on HIT adoption, especially in poor nations, adds to this problem and clearly challenges health care managers and researchers. It emphasizes the need of knowing the elements influencing acceptance, choice, and usage of healthcare technology to improve user adoption willingness. Using past studies from several nations, this paper investigates the elements driving HIT adoption within the prism of the Theory of Planned Behavior (TPB). Using a Systematic Literature Review (SLR) under direction from the PRISMA framework guaranteed an open and exhaustive study. With eight publications compared to six from wealthy countries, the results expose a notable trend: emerging countries help more to promote HIT adoption research. Furthermore, the combination of TPB with other theories like the Technology Acceptance Model (TAM) provides a whole framework for grasp the elements influencing HIT uptake. Core TPB components include subjective norms, attitude, and perceived behavioral control are well known in industrialized nations and supported by TAM's perceived utility and simplicity of use, along with demographic elements, therefore stressing a user-centric approach. Research on emerging nations, particularly China, shows, on the other hand, a wide spectrum of variables on HIT adoption including personal, technical, social, and institutional ones. The results greatly improve our knowledge of HIT adoption seen from the TPB perspective and provide insightful analysis for legislators developing sensible plans for HIT implementation

The impact of environmental regulation and economic expectations on crop-livestock integration among hog farmers: a field study from China.

Decoupling of crop-livestock systems increases the risks of pollution, waste of nutrient resources, and biodiversity loss. Crop-livestock integration (CLI) is an effective solution to these problems, and motivating farmers to adopt CLI is the key. Many countries have implemented environmental regulations (ER) aiming to influence farmers' CLI adoption decisions. Based on a field study of 316 hog farmers from Shaanxi Province of China, this paper applies the triple-hurdle model to empirically examine the impacts of economic expectations (EE) and ER on CLI adoption decisions. It also verifies the income effect of CLI. The results are as follows: 90.5% of farmers are willing to adopt CLI, but the adoption rate is only 40.8% and the average integration degree is only 0.236; CLI not been widely popularized. EE and ER promote farmers' CLI adoption significantly, while the impact of interaction between EE and ER on CLI adoption differs. IER weakens the positive impact of EE on farmers' CLI integration degree, which has a "crowding out effect." GER negatively moderates the impact of EE on farmers' adoption willingness of CLI. CER strengthens the positive effect of EE on farmers' adoption behavior and CLI integration degree. CLI increases the farmers' income. These results contribute to our understanding of the mechanisms of CLI adoption decisions and sustainable policy optimization for green agricultural development.

Data-informed design in the automotive industry: customer acceptance study in Sweden and China on radical car design

AbstractThis study explores the alignment between automotive design innovation and consumer acceptance, particularly in the context of two significant trends: electrification and digitalization. We probed the acceptance of replacing rear window with wide-angle camera We surveyed 1,546 potential customers from China and Sweden to assess their openness to such a radical design. Findings suggest a consensus on its futuristic appeal but diverge in adoption willingness. The study offers insights to bridge the design preference gap, positioning customer acceptance as key for car design strategy.

Explaining drivers of farmers’ willingness for early adoption of enhanced irrigation technologies: case of Tunisia

The objective of this paper is to identify the influencing factors of farmers’ willingness for early adoption of enhanced irrigation technologies in Tunisia. We estimate a multinomial logit model with data from 931 farmers in Central (Chebika) and Northern (Fernana) of Tunisia. Regression results reveal that early adoption is positively influenced by levels of extension service quality, trust in farmers’ associations and extension agents, farmer’s perception towards the innovation, credit access, and off-farm income. However, it is negatively affected by market access issues, risk aversion, and age. Risk, trust, and perception towards technology are important factors in driving early adoption decision. The findings imply that farmers training on water conservation technologies, financial support for innovation adoption, awareness of young farmers about the opportunities of agricultural innovation, incentives to farmers’ associations in order to improve their market access, and inclusive participatory approaches during technology generation and transfer are all accelerators of early adoption speed of innovations by farmers.

Mandatory adoption of technology: Can UTAUT2 model capture managers behavioral intention?

In Bangladeshi ready-made garment (RMG) and textile sectors, technology-driven compliance standards are primarily imported directly from foreign buyers' corporate social responsibility (CSR) where managers do not have enough scope of involvement, engagement, or active authority. They neither have selection freedom nor adoption willingness. The aim of this exploratory research is to understand managers' perceptions around accepting these imposed technology-driven compliance standards in the name of safety through an empirical study of the RMG sector in Bangladesh. We have used the extended framework of the unified theory of acceptance and use of technology (UTAUT2) model with certain modifications. After analyzing data through structural equation modeling (SEM), a modified theoretical framework was revealed to capture managers' behavioral intention toward a complex technological system that does not automatically arise from self-willingness; rather it is mandatory acceptance. Based on this knowledge, we recommend that the UTAUT2 model be extended and revised to capture this kind of mandatory adoption of technology. The findings of this research can provide deep and effective knowledge and experience to international buyers in the RMG sector, global supply chain members, RMG factory owners, and government policymakers.

The diffusion path of distributed photovoltaic power generation technology driven by individual behavior

The widespread adoption of distributed photovoltaic (PV) power generation technologies among electricity consumers is a crucial factor in enabling the power system's low-carbon transition. While extensive research has explored consumers' willingness to adopt this technology, prior studies have primarily focused on static psychological factors. This study, however, takes a heterogeneous behavioral perspective by examining the dynamic effects of individual behavioral interactions on technology diffusion. Utilizing behavior-driven simulation technology, we developed a diffusion model pertaining to photovoltaic power generation technology. The model enhances the explanatory capacity and predictive accuracy of subjects' behavioral choices by quantifying the effects of adoption scale and external economic interventions. Our simulation results indicate that residential environment constraints, resulting from individual behavioral differences, can influence the diffusion potential of technology. Furthermore, non-mandatory promotion methods are more effective in enhancing user adoption willingness. Interestingly, we found that free installation interventions tend to reduce the diffusion effect in later stages and should not be implemented in isolation. These insights can contribute to enhancing the diffusion of distributed PV power generation technology and furthering the development of low-carbon electricity.

Storing Complementary Therapy Knowledge to Expand Nursing Roles

Incorporating complementary therapy into nursing care is common in clinical practice. Complementary therapy is a non-pharmacological approach used to help address symptoms that cannot be alleviated entirely by medication. These complementary therapies often serve specific purposes, and nurses are the ideal candidates to administer them due to their patient care expertise. However, before applying any complementary therapy, it is essential to understand the potential medical safety, ethical, and legal considerations involved in the therapeutic process. Furthermore, administrators should strengthen their knowledge and implementation of these therapies to ensure safety during use. Complementary therapy facilitates the management of symptoms that are not manageable by medication alone. For example, aromatherapy and light therapy are employed in clinical settings to alleviate anxiety, depression, insomnia, and pain (Farrar & Farrar, 2020; Fong et al., 2023), while acupuncture, acupressure, and qigong are utilized to relieve pain in cancer patients (Behzadmehr et al., 2020). Although complementary therapy is gradually gaining acceptance in clinical practice for mitigating patient discomfort, it has yet to achieve widespread adoption, with the culture within healthcare institutions and the attitudes of healthcare professionals being significant factors influencing adoption willingness. Research findings indicate that the primary factor influencing the use of complementary therapy by nurses is lack of relevant knowledge (Siedlecki, 2021). Elements of complementary therapy have been incorporated into the blueprint of the National Council Licensure Examination - Registered Nurse in Western countries. Thus, nursing education programs in the United States are now required to integrate complementary therapy into their curricula (Helms, 2006). The above emphasizes the importance of equipping nursing professionals with crucial knowledge and skills related to complementary therapy. When integrated appropriately and safely into patient care, complementary therapy not only enhances the quality and status of nursing but also demonstrates the irreplaceable role of nurses in assisting patients manage symptoms that are not fully manageable by medication alone. As modern medical technology and treatment modalities continue to grow in complexity, nursing professionals must maintain an open-minded perspective and be willing to adapt to and learn the diverse knowledge and skills required in today's era of interdisciplinary. Implementing complementary therapy requires relevant healthcare knowledge for symptom relief as well as familiarity with the related principles and skills. Complementary therapy often involves more extended contact with the recipients of care, making it safer and more appropriate when administered by nursing professionals who have received medical training. In this column, three articles discuss common complementary therapeutic practices such as aromatherapy, the non-invasive Chinese medicine meridian-and-acupoint intervention, and light therapy. Each article introduces the principles of these therapies and their application in nursing. It is hoped that the information provided on these three complementary therapies will help nursing professionals find reference points for expanding and strengthening their interdisciplinary nursing practices. Thus, the inherent advantages of the nursing profession may be leveraged to further enhance and implement the professional nursing process and to maximize the roles and capabilities of the nursing profession.

Gap between words and action: empirical study on the consistency of farmers supporting green vegetable production practices

The increasing interest on the quality and safety of vegetables has focused much attention to the words (willingness) and action (behavior) of farmers toward the production of safe vegetables. However, the majority of studies typically focus on willingness or behavior, ignoring the interactions between the two. Moreover, there exists a wide gap between farmers’ actual behavior and their willingness to support green production practices of vegetable. Thus, in order to explore the key factors of farmers’ willingness, behavior, and their consistency to adopt green vegetable production vegetable practices, we performed bivariate probit modeling and binary logistic regression based on a survey of 452 farmers in Beijing, China. Results demonstrate the number of farmers willing to adopt green vegetable production practices to exceed those who do not by 65.5%. In particular, 73.9% of farmers adopt green vegetable production practices, while 67.5% of farmers exhibit an adoption willingness that is consistent with the adoption behavior. A positive correlation is observed between the willingness and behavior to adopt green production practices of vegetable, while the key influencing factors of the willingness, behavior, and consistency of green production practices are distinct. For example, cooperatives, neighboring farmers, and government regulation exert a significant positive impact on consistency, while family labor force, vegetable income, and the media have a significant negative impact. Moreover, cooperatives are identified as the most important influencing factor. Our work offers guidance in understanding the influencing factors of the willingness and behavior to adopt green vegetable production practices, and can provide a policy basis for governments to promote such practices.

Triple-hurdle model analysis of aquaculture farmers’ multi-stage willingness to participate in green and healthy aquaculture actions in China: based on ecological cognition and environmental regulation perspectives

Implementing the action of green and healthy aquaculture is an important measure to ensure the stable and secure supply of crucial agricultural products and promote the green and high-quality development of the fishing industry in China. This article divides the willingness to participate in the green and healthy aquaculture actions (GHAAs) into three stages: whether to participate, mode of participation, and degree of participation based on the dynamic decision-making process of the farmers. Based on micro survey data of aquaculture households in Zhejiang Province, this paper applies the Triple-Hurdle model to analyze the effect of ecological cognition and environmental regulation on multi-stage participation willingness, with a particular emphasis on exploring the differences in participation willingness between two types of green aquaculture methods, traditional and emerging technologies. The results show that ecological cognition has a positive promoting effect on the willingness to participate in actions and the degree of willingness to participate in both types of technological methods, the constrained environmental regulation policies significantly positively affects the degree of willingness to participate in traditional technological methods, and the incentive environmental regulation policies significantly positively affects the willingness to choose emerging technological methods and its degree of willingness to participate. The analysis of the regulatory effect of environmental regulation shows that constrained regulation policies can enhance the willingness of high ecological cognition farmers to participate in actions, while incentive policies are helpful for high ecological cognition farmers’ adoption willingness of emerging green production technology. In addition, there are scale and intergenerational differences in the effects of ecological cognition and environmental regulation on farmers’ willingness to participate in actions.

Agrochemical Input Behavior and Cleaner Production Adoption Willingness of Farmers in Beijing–Tianjin–Hebei, China

Beijing–Tianjin–Hebei is an important agricultural production area in China, and farmers’ agrochemical input behavior directly affects the risk of agricultural non-point source pollution and the effect of green agricultural development. Based on a questionnaire survey and field interview data, this study investigated the agrochemical input behavior of farmers in Beijing–Tianjin–Hebei, and analyzed its influencing factors. Using the Probit model, we carried out an empirical study on farmers’ willingness to invest in cleaner production of agrochemicals from four aspects: farmers’ characteristics, agricultural input, environmental awareness and technical cognition. The results showed that the kinds of fertilizer were mainly compound fertilizer, urea and organic fertilizer, and the fertilization method was mainly surface spreading, accounting for 50.6% of the total surveys; the number of agrochemicals was determined chiefly by agricultural sellers, accounting for 55.5%. The proportion of the guidance from technical departments in Beijing was higher than that of Tianjin and Hebei. The first influencing factor for farmers’ behavior towards agrochemical input was the pursuit of high yield and high profit, accounting for 24.9%, 22.6% and 26.0%, respectively. The guidance of relevant technical departments still did not fully cover the use of agrochemicals. The study also found that factors such as the price of farming materials, the price of agricultural products, family income, farmland facilities, government propaganda, technical training and subsidies all impacted the agrochemical input behavior. Pre-production technical guidance and farmers’ awareness significantly affected the willingness to adopt cleaner production. Technical training was helpful to improve farmers’ willingness to participate actively, and enhancing the pertinence of training played an important role in the adoption of cleaner production technology. In conclusion, the influencing factors of farmers’ agrochemical input in Beijing, Tianjin and Hebei were complex, and the scientific application level still needs to be improved. This paper finally discusses and puts forward some countermeasures and suggestions for agrochemical reduction and efficiency improvement.

An Empirical Study on the Willingness to Adopt E-commerce of Agricultural Machinery Parts Operators Under the Background of "Internet +"

The e-commerce of agricultural machinery components can help the rapid development of the agricultural machinery industry and accelerate the implementation of rural revitalization strategies. The study selected the small and micro enterprises in Pangkou Auto Agricultural Machinery Parts City, Gaotang County, as the research subjects, and conducted an empirical analysis on the adoption willingness of e-commerce operators of agricultural machinery parts in Pangkou Auto Agricultural Machinery Parts City by building an economic model. The results showed that the accuracy of the economic model's prediction reached 76%, and the value of Nagelerke R2 reached 0.580, indicating that the model has a good fitting effect as a whole, it has a good explanatory effect and statistical significance for the dependent variable. The results show that age has become a protective factor for the e-commerce willingness of agricultural machinery component operators, while other factors have a relatively weak effect on the e-commerce operation of hospitals. The research provided a specific explanation of the results and summarized the construction of a complete network system to improve the level of after-sales service; strengthen digital empowering retail and implement an e-commerce+live streaming marketing model; improve e-commerce capabilities and break down barriers to information exchange; strengthen financial policy support and a series of countermeasures to expand the e-commerce operation of agricultural machinery parts.

What May Impact Trustworthiness of AI in Digital Healthcare: Discussion from Patients’ Viewpoint

The healthcare industry is undergoing a transformation of traditional medical relationships from human-physician interactions to digital healthcare focusing on physician-AI-patient interactions. Patients’ trustworthiness is the cornerstone of adopting new technologies expounding the reliability, integrity, and ability of AI-based systems and devices to provide an accurate and safe healthcare environment. The main objective of this study is to investigate the various factors that influence patients’ trustworthiness in AI-based systems and devices, taking into account differences in patients’ experiences and backgrounds. First, an exploratory conceptual framework inspired by the United Theory of Acceptance and Use of Technology (UTAUT) and Health Belief Model (HBM) is established to further explain the patients’ trust to support the adoption willingness of AI. Then a case study that includes 218 samples from chronic patients is conducted. The results of the study indicate that factors such as accountability, risk perception, facilitating conditions, and social influence play a significant role in determining a patient’s trust in AI-based healthcare devices, while ease of ease may not have a direct impact to trust. And among the demographic factors, only race showed a strong correlation with the level of patient trust in AI. The contributions of this study can provide a comprehensive understanding of patients’ trustworthiness and inform the development and deployment of the technology in a way that prioritizes patients’ interests.

Cognition process and influencing factors of rural residents' adoption willingness for solar PV poverty alleviation projects: Evidence from a mixed methodology in rural China

The photovoltaic poverty alleviation project (PV-PAP) is an innovative policy for renewable energy diffusion and sustainable development achievement in China. However, there is a lack of research on the public support and cognitive process of PV-PAPs, and motivations and influencing mechanisms of rural residents' willingness to adopt PV-PAPs still need to be further explored. Based on coding technique of grounded theory, principal component analysis, and stepwise multiple linear regression methods, this research explored rural residents' cognition of PV-PAPs as well as quantitatively verified the relationship between the key factors and their adoption willingness. Results show that rural residents have different cognitions of PV-PAPs, the composition of the cognitive element collection is the fundamental reason for the difference of individual degree of knowledge. Their cognitive process of PV-PAPs consists of three stages, namely information acquisition, perceived acceptance, and cognitive processing, during which the cognitive elements will change up to twice. Significant peer effects are found in promoting PV-PAPs. Perceived cost-benefit, degree of knowledge, external environmental influence, interpersonal interaction, and demonstration of others have highly significant positive impacts on residents' willingness to adopt PV-PAPs. Finally, recommendations are proposed to facilitate the promotion of PV-PAPs in rural areas.

Pumping up adoption: The role of policy awareness in explaining willingness to adopt heat pumps in Canada

Heat pumps are a key technology for decarbonising residential buildings, yet their current market share in Canada remains very low at approximately 5 %. To promote heat pump adoption, governments in Canada have introduced supportive policies such as purchase subsidies, and it is often assumed that increasing consumer awareness of such policies increases heat pump adoption. Using a survey of Canadian homeowners who do not own heat pumps (n = 3138), we assess: (1) levels of willingness to adopt air source and ground source heat pumps across Canada, (2) the effect of information provision on willingness to adopt heat pumps, (3) levels of heat pump policy awareness across Canada, (4) whether perceived technical characteristics of heat pumps can be categorized as functional or symbolic, and as private or societal, and (5) the role of policy awareness and other drivers in explaining willingness to adopt heat pumps. We find that a third of Canadian homeowners express willingness to adopt heat pumps. These homeowners are found predominantly within the Atlantic region and show higher levels of adoption willingness for air source rather than ground source heat pumps. Awareness of existing heat pump supportive policy is low, with only 5 % of respondents able to name any policies from memory. Awareness tends to be higher in British Columbia, and for heat pump subsidies and carbon taxes. Policy awareness without cues (i.e., being able to freely recall policies) is a positive predictor of willingness to adopt air source heat pumps only. Policy awareness with cues (i.e., when respondents were provided with a list of policies that served as a memory prompt) is not associated with willingness to adopt either type of heat pump. Other significant predictors include perceptions of heat pumps' functionality and their environmental benefits, having a technology-oriented lifestyle, having higher support for policies, and the financial and inconvenience costs during installation. Based on findings, insights into targeted policy designs to accelerate residential building decarbonisation are provided.

Exploring the Renovation Status and Flexible Strategies of Urban Housing in China Based on Two Surveys of Residents and Architects

Housing renovations have become an important part of the construction of living environments in China, and improving residential flexibility is an important way to facilitate renovations. This study focused on the adjustments of interior space and living function from the perspective of the application of flexible design strategies through two-stage surveys. The renovation contents and needs of 439 residents were statistically analyzed, an evaluation of design strategies was performed by 226 architects, and a correlation analysis was carried out based on the data. The results showed that the distribution of renovations was positively related to the renovation difficulty and could be summarized into four parts, viz., functional arrangement, device and pipeline, furniture and storage, and decorative details, while the willingness to renovate was related to living requirements. Twenty design strategies for improving housing flexibility were evaluated, and a statistical analysis was carried out on the flexibility assessment and adoption willingness provided by architects. In 14 of these strategies, the flexibility assessment affected the architects’ willingness to adopt the design (p < 0.05); however, the adoption willingness was affected by external factors in the other six strategies, such as cost control. In addition, the architects’ adoption willingness score was generally lower than their assessment score for the same strategy; thus, top-level guidance to promote the application of flexible strategies should be strengthened.

A review of perceptions, challenges and prospects of child adoption in nigeria

Child adoption in Nigeria is still an evolving process .The enactment of the Child's Right Act in Nigeria has legalized child adoption. The Objective of this study include to access the perception of child adoption in Nigeria; to determine the challenges of child adoption in Nigeria, and to investigate the prospects of child adoption in Nigeria. The method used was to explore secondary data, policy documents, existing studies and reviews from scholars, local and international organizations. Perception of child adoption slightly vary across the country, with most Nigerian having fair knowledge of the term “child adoption” which does not translate into its practice .It was also shown that infertility is the main factor that has influenced the rate of willingness and acceptability of child adoption in Nigeria. However, the ideology that biological ties are fundamental to family relations is associated with several stigmatizing beliefs about adoption, which may cause both the adoptee and the adoptive parents to feel socially marginalized and devalued. Just like other part of the world, child adoption in Nigeria is faced with several challenges ranging from stigmatization, unknown parental background, possible inherited or genetic diseases, psychological and religious beliefs, poverty, establishment of illegal adoption and orphanage homes, future claim by the biological parents, disloyalty or abandonment of adoptive parents the child when the child learns that he or she was adopted. The future prospects of child adoption lie in Nigerians taking seriously the principles and standards enunciated in the international adoption law of Nigeria that the best interest of children (which include their survival, development, protection and participation) should be the guiding principle in the whole adoption process. In conclusion , the perception, challenges and prospects of child adoption reviewed in this study shows child adoption in Nigeria is still evolving and requires the government, churches, other religious bodies, NGOs, individuals and the public at large to join hands in welcoming and implementing the right practices of child adoption, as well as ‘Child's Right Laws' .

The Effect of Persuasive Design on the Adoption of Exposure Notification Apps: Quantitative Study Based on COVID Alert.

BackgroundThe adoption of contact tracing apps worldwide has been low. Although considerable research has been conducted on technology acceptance, little has been done to show the benefit of incorporating persuasive principles.ObjectiveThis research aimed to investigate the effect of persuasive features in the COVID Alert app, created by Health Canada, by focusing on the no-exposure status, exposure status, and diagnosis report interfaces.MethodsWe conducted a study among 181 Canadian residents, including 65 adopters and 116 nonadopters. This study was based on screenshots of the 3 interfaces, of which each comprised a persuasive design and a control design. The persuasive versions of the first two interfaces supported self-monitoring (of exposure levels), and that of the third interface supported social learning (about how many other users have reported their diagnosis). The 6 screenshots were randomly assigned to 6 groups of participants to provide feedback on perceived persuasiveness and adoption willingness.ResultsA multivariate repeated-measure ANOVA showed that there is an interaction among interface, app design, and adoption status regarding the perceived persuasiveness of the interfaces. This resulted in a 2-way ANOVA for each interface. For the no-exposure interface, there was an interaction between adoption status and app design. Among adopters, there was no significant difference P=.31 between the persuasive design (mean 5.36, SD 1.63) and the control design (mean 5.87, SD 1.20). However, among nonadopters, there was an effect of app design (P<.001), with participants being more motivated by the persuasive design (mean 5.37, SD 1.30) than by the control design (mean 4.57, SD 1.19). For the exposure interface, adoption status had a main effect (P<.001), with adopters (mean 5.91, SD 1.01) being more motivated by the designs than nonadopters (mean 4.96, SD 1.43). For the diagnosis report interface, there was an interaction between adoption status and app design. Among nonadopters, there was no significant difference P=.99 between the persuasive design (mean 4.61, SD 1.84) and the control design (mean 4.77, SD 1.21). However, among adopters, there was an effect of app design (P=.006), with participants being more likely to report their diagnosis using the persuasive design (mean 6.00, SD 0.97) than using the control design (mean 5.03, SD 1.22). Finally, with regard to willingness to download the app, pairwise comparisons showed that nonadopters were more likely to adopt the app after viewing the persuasive version of the no-exposure interface (13/21, 62% said yes) and the diagnosis report interface (12/17, 71% said yes) than after viewing the control versions (3/17, 18% and 7/16, 44%, respectively, said yes).ConclusionsExposure notification apps are more likely to be effective if equipped with persuasive features. Incorporating self-monitoring into the no-exposure status interface and social learning into the diagnosis report interface can increase adoption by >30%.

Barriers and facilitators to implementing a nursing clinical decision support system in a tertiary hospital setting: A qualitative study using the FITT framework

ObjectiveClinical decision support systems (CDSSs) have been increasingly introduced to health care settings; however, their adoption is far from ideal. Guided by the FITT framework, this study aims to explore barriers and facilitators to the implementation of a CDSS from the perspective of nurses. MethodsA qualitative study with 200 h of participatory observation and 21 semi structured interviews was conducted from February to August 2021 in four medical-surgical wards in a 2000-bed tertiary hospital in Shanghai, China. The field notes were typed and the audio-recorded interviews were transcribed to texts verbatim and were coded with a four-step approach. We used the FITT framework to interpret our findings based on the technology, individual and task attributes and the fit between them. ResultsA total of twelve categories were identified, which were integrated into two themes: barriers and facilitators to system implementation. All categories but one can be mapped to the three attributes of the FITT framework: technology, individual and task. We assumed that management has a vital role to play in the following areas: addressing user resistance, improving system usability, setting standards on practice and, finally, building connectivity between nurses and the technical staff to improve the fit between the technology, individual and task attribute and thus promote system implementation. ConclusionBarriers and facilitators to CDSS implementation include system-related, user-related and organizational factors which can largely be fit into the FITT framework. There is potential to extend the FITT framework to represent management intervention on inter-disciplinary collaboration. Future empirical studies on facilitating strategies from the management to improve user experience and willingness of CDSS adoption are needed.

The Human Side of Open Innovation Adoption in SMEs: A Configurational Approach

SMEs' willingness to adopt Open Innovation largely depends on managerial cognitive configurations. The present study inquiries a scarcely explored aspect of Open Innovation, namely the human side of Open Innovation. As a result, we study the cognitive configurations leading toward willingness or unwillingness of OI adoption, specifically focusing on the cognitive side of the decision-makers. In doing so, we explore the role of Rational and Intuitive cognition, together with the NIH and NHS syndromes. Also, we study the effect of perceived barriers and perceived benefits that are able to affect the decisional outcome of managers in deciding to adopt, or not, Open Innovation. The present is grounded in a survey among 442 qualified and experienced managers working in SMEs. Results of a fsQCA analysis outlines different decisional profiles associated with willingness and unwillingness to adopt OI.