Adoption Of Technological Innovations Research Articles

Therapies go digital. What drives physicians' acceptance?

National healthcare systems face multiple challenges, including the increasing demand for care and decreasing availability of healthcare professionals. Digital health technologies represent opportunities that offer improved efficiency, accessibility, and patient care. In this scenario, Digital Therapeutics are technological advancements to treat or alleviate a disease and deliver a medical intervention with evidence-based therapeutic impacts and regulatory approval. Digital Therapeutics are a paradigm shift for physicians, who exercise caution in terms of trust and wide usage. Digital Therapeutics represents an opportunity and a challenge in healthcare system integration. The research investigates the factors explaining physicians' acceptance of Digital Therapeutics. A research model that combines organizational mechanisms derived from Institutional Theory and rational factors derived from the Technology Acceptance model was developed. The model was tested through 107 responses from a survey distributed to the members of the leading Italian scientific society in Diabetology. Literature-based hypotheses were empirically tested through Structural Equation Modelling. The analysis confirmed the influence of Perceived Ease of Use on Perceived Usefulness and Perceived Usefulness on the Intention To Use Digital Therapeutics. Rules and norms impact Perceived Usefulness when considering the influence of the scientific society. Culture and mindset towards innovation within the hospital positively affect Perceived Ease of Use. The readiness of hospital facilities enhances the extent to which physicians perceive the ease of employing Digital Therapeutics in their daily practice. Instead, esteemed colleagues' opinions and guidelines from the scientific society reveal to physicians the value of Digital Therapeutics in patients' care pathways. Institutions should prioritize cultural, normative, and regulative aspects to accelerate physicians' endorsement of Digital Therapeutics. Findings advance the theoretical knowledge around clinicians' adoption of innovative digital health technologies, unveiling the interaction between rational and institutional factors. The results highlight practical implications for healthcare institutions and Digital Therapeutics manufacturers willing to promote their adoption.

Blockchain-Based Lean Supply Chain: A Simulation Approach

This paper aims to propose a model based on blockchain and cloud computing technologies to support lean production techniques for industrial supply chain management, evaluating how the combination of these technologies provides improvement in the chain performance. The literature review contextualizes the state of the art in studies related to the application of blockchain technology to lean manufacturing processes, as well as identifies research gaps in this field. Besides, this study models and simulates an architecture based on both the Hyperledger Fabric network and a virtual machine in the cloud environment, assessing its applicability and performance in the industrial supply chain. The analysis addresses lean aspects identified as research gaps, including integration of stakeholders in the collaborative production of customized products, conditions of flexibility and adaptability to demand variations, coordinated relationship of networks involving small and medium-sized enterprises, and behavior of various players acting simultaneously and consensually. The proposed model reveals a decentralized and nonlinear information sharing concept that demonstrates a logic of simultaneous participation of all players involved in the supply chain. The low costs and processing times identified in the simulation indicate the robustness of the system even in transactions involving a large number of companies and a large amount of data. This architecture offers an integration solution between stakeholders to support operational processes, providing insights for researchers and specialists in the adoption of innovative, reliable and inclusive information technologies for companies of different sizes or levels of development, with a focus on lean manufacturing, reduction in resource consumption and cost reduction. The developed model, which combines blockchain and cloud computing technologies applied to stages of lean production systems, presents a differentiated solution on the planning of integrated production systems, indicating the differential in this work.

Data Security and Consumer Trust in Fintech Innovations using Technology Adoption Method

This study investigates the interplay between data security and consumer trust in the context of fintech innovation, employing the Technology Adoption Model (TAM) as the theoretical framework. Fintech, characterized by its rapid technological advancements, has revolutionized traditional financial services, offering convenience and efficiency. However, concerns about data security and privacy have emerged as significant barriers to consumer adoption and trust. The research methodology involves a comprehensive literature review to establish the theoretical foundation and empirical analysis of consumer perceptions through surveys and interviews. The TAM framework, which examines users' attitudes and behaviors towards technology adoption, serves as a lens to understand how data security measures influence consumer trust in fintech platforms. Results indicate that consumers prioritize data security and privacy when evaluating fintech services, with perceptions of security significantly impacting trust levels. Factors such as encryption protocols, authentication mechanisms, and regulatory compliance play crucial roles in shaping consumer perceptions of data security. Additionally, transparency and communication regarding data handling practices enhance trust and mitigate concerns. The study identifies the role of user experience design in fostering trust, as intuitive interfaces and clear privacy policies contribute to perceived security. The findings underscore the importance of proactive measures by fintech companies to address data security concerns, including robust cybersecurity protocols, regulatory compliance, and transparent communication strategies. The study highlights the intricate relationship between data security and consumer trust in fintech innovation, emphasizing the need for comprehensive approaches to mitigate risks and build consumer confidence. By understanding and addressing consumer perceptions and concerns, fintech companies can enhance trust and drive widespread adoption of innovative financial technologies. Keywords: fintech, adoption, security, trust, inclusion, investment, payment, insurance, technology, efficiency, innovation.

Effects of Packaging Materials on Food Quality and Shelf Life in Australia

Purpose: The aim of the study was to analyze the effects of packaging materials on food quality and shelf life in Australia. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: In Australia, advanced packaging technologies such as modified atmosphere packaging (MAP) and active packaging extend the shelf life of perishables by inhibiting microbial growth. Sustainable packaging options are gaining traction, balancing environmental concerns with maintaining food safety. Intelligent packaging with condition indicators enhances consumer decisions by providing food safety information. Strict Australian regulations ensure that packaging materials meet safety standards, supporting food quality preservation. Unique Contribution to Theory, Practice and Policy: Diffusion theory, mass transfer theory & shelf life prediction models may be used to anchor future studies on analyze the effects of packaging materials on food quality and shelf life in Australia. Practical recommendations should emphasize the adoption of innovative packaging technologies tailored to specific food products and storage conditions. Policymakers should prioritize initiatives aimed at fostering collaboration between industry stakeholders, research institutions, and regulatory bodies to address pressing challenges in food packaging.

Enhancing Rice Productivity and Ensuring Food Security in Indonesia Through The Adoption of Innovative Technologies in Tidal Swamp Rice Farming

The expansion of rice cultivation areas in tidal swamp lands is crucial for Indonesia to increase rice production in order to meet the rising food demand in line with population growth. The purpose of this study is to comprehensively explore and assess innovative technologies that can be developed for rice cultivation in tidal swamp lands. The research was conducted using ScienceDirect (Core Collection) with keywords "Tidal Rice Farming," "Rice Productivity," "Technology," and "Food Security in Indonesia," and Google Scholar with keywords "Rice Production," "Tidal Swamp Rice," and "Indonesia," following the guidelines from PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The research includes peer-reviewed studies published between 2014 and 2024, focusing on the recent technology of rice farming in tidal swamp fields. The research result show Tidal swamp land in Indonesia, covering 8.92 million ha with mineral soil 7.56 million ha and peat soil 1.36 million ha, mainly used for rice farming 2.8 million ha. The current rice productivity ranges between 4-5 million tons of unhulled rice per year. This finding concludes that the adoption of innovative technologies can be applied to increase rice productivity in tidal swamps, which holds great potential for enhancing food security in Indonesia. The study also highlights the importance of additional research to address challenges such as soil salinity, water availability, accessibility, and the adoption of these technologies across different tidal swamp land conditions.

Structural Equation Modeling in Technology Adoption and Use in the Construction Industry: A Scientometric Analysis and Qualitative Review

Considering the emergence and adoption of various innovative technologies, the construction industry has undergone transformation into a more secure, highly efficient, and ecologically sustainable landscape. An increasing number of studies uses the structural equation modeling (SEM) method to explore the dynamics of technology adoption and use within the construction sector. Previous studies have mainly focused on qualitative analysis using the SEM method to analyze technology adoption and usage in the construction industry. This study, however, distinguishes itself from previous research by focusing on the SEM method itself and conducting a systematic analysis using scientometric methods. Based on a total of 140 relevant journal articles, this study adopts a scientometric analysis approach to conduct a holistic review encompassing sources, researchers, keywords, and highly cited documents. The research findings are as follows: (1) the primary focus of the current research topics is on BIM technology; (2) most studies employ cross-sectional SEM instead of longitudinal SEM; (3) there is a deficiency in the theoretical foundation for designing SEM in current research; and (4) the selection of either reflective or formative measures lacks sufficient rigor. Qualitative analysis is used to examine prevailing issues in research design and address the intricate technicalities and potential challenges inherent in the SEM method. Three research gaps and future directions are presented: diversifying regions of study and research topics, incorporating theoretical support for research design, and carefully choosing reflective or formative measures. The findings provide a comprehensive roadmap and valuable reference for future research in this field.

Evolutionary Game Analysis of Optimal Strategies for Construction Stakeholders in Promoting the Adoption of Green Building Technology Innovation

Evolutionary Game Analysis of Optimal Strategies for Construction Stakeholders in Promoting the Adoption of Green Building Technology Innovation

Challenges and Opportunities in Ensuring the Welfare of Livestock during Transportation in Nigeria

Purpose: The aim of the study was to examine challenges and opportunities in ensuring the welfare of livestock during transportation in Nigeria Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study identified challenges, ranging from overcrowding and rough handling to inadequate rest and water provisions, underscore the need for comprehensive interventions to address welfare concerns effectively. Additionally, contextual factors such as regulatory variability, transporter perspectives, and geographical disparities further complicate the landscape of livestock transportation welfare. Unique Contribution to Theory, Practice and Policy: Theory of Planned Behavior & Social Exchange Theory may be used to anchor future studies on challenges and opportunities in ensuring the welfare of livestock during transportation in Nigeria. Promote the adoption of innovative technologies, such as GPS tracking, real-time monitoring systems, and automated watering and feeding systems, to improve the welfare of livestock during transportation. Advocate for the harmonization of welfare standards and regulatory frameworks across different jurisdictions to promote consistency and accountability in livestock transportation practices.

Exploring the Role of Complexity in Health Care Technology Bottom-Up Innovations: Multiple-Case Study Using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability Complexity Assessment Tool.

New digital technology presents new challenges to health care on multiple levels. There are calls for further research that considers the complex factors related to digital innovations in complex health care settings to bridge the gap when moving from linear, logistic research to embracing and testing the concept of complexity. The nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework was developed to help study complexity in digital innovations. This study aims to investigate the role of complexity in the development and deployment of innovations by retrospectively assessing challenges to 4 digital health care innovations initiated from the bottom up. A multicase retrospective, deductive, and explorative analysis using the NASSS complexity assessment tool LONG was conducted. In total, 4 bottom-up innovations developed in Region Västra Götaland in Sweden were explored and compared to identify unique and shared complexity-related challenges. The analysis resulted in joint insights and individual learning. Overall, the complexity was mostly found outside the actual innovation; more specifically, it related to the organization's readiness to integrate new innovations, how to manage and maintain innovations, and how to finance them. The NASSS framework sheds light on various perspectives that can either facilitate or hinder the adoption, scale-up, and spread of technological innovations. In the domain of condition or diagnosis, a well-informed understanding of the complexity related to the condition or illness (diabetes, cancer, bipolar disorders, and schizophrenia disorders) is of great importance for the innovation. The value proposition needs to be clearly described early to enable an understanding of costs and outcomes. The questions in the NASSS complexity assessment tool LONG were sometimes difficult to comprehend, not only from a language perspective but also due to a lack of understanding of the surrounding organization's system and its setting. Even when bottom-up innovations arise within the same support organization, the complexity can vary based on the developmental phase and the unique characteristics of each project. Identifying, defining, and understanding complexity may not solve the issues but substantially improves the prospects for successful deployment. Successful innovation within complex organizations necessitates an adaptive leadership and structures to surmount cultural resistance and organizational impediments. A rigid, linear, and stepwise approach risks disregarding interconnected variables and dependencies, leading to suboptimal outcomes. Success lies in embracing the complexity with its uncertainty, nurturing creativity, and adopting a nonlinear methodology that accommodates the iterative nature of innovation processes within complex organizations.

Everyday Diagnostic Work in the Histopathology Lab: CSCW Perspectives on the Utilization of Data-Driven Clinical Decision Support Systems

AbstractIn this paper we present an ethnographic study of the work of histopathologists as they grapple with the twin innovations of transitioning to digital biopsy images and the prospective adoption of an AI-based clinical decision support system (CDSS). We explore how they are adapting to the former and their expectations of the latter. The study’s ethnomethodologically-informed ethnography approach brings to light some key issues regarding the nature of diagnostic work, and accountability and trust that are central to the successful adoption of technological innovations in clinical settings.

Maximizing Agricultural Performance in Developing Countries: Implementing Efficient Cultivation Strategies for Short-Term Harvests to Boost Production Rates and Accelerate Supply Chain Efficiency

Improving agricultural productivity in developing countries is crucial for food security and economic prosperity. This research investigates the application of effective agricultural systems focused at short-term harvests in order to increase production rates and optimize supply chain efficiency. This study's focus on innovative farming techniques, technology adoption, and supply chain management improvements desires to assist policymakers, agricultural practitioners, and stakeholders with practical knowledge. This study focuses on multiple cultivation using the ground and the spaces accessible above it; therefore, the cost will remain constant or as low as possible. Cultivators will use minimal effort to bring out maximum harvest where they will use less labour as the ground is the same. This study will discuss on efficient cultivation strategies, Short term harvests and production rates, Optimizing supply chain efficiency, Innovative farming techniques and technology adoption, Supply chain management improvements and actionable insights for sustainable agricultural development. Through an emphasis on innovative farming methodologies, technological integration, and enhancements in supply chain management, this study endeavours to furnish actionable insights crucial for policymakers, agricultural practitioners, and stakeholders invested in the agricultural sector. The study emphasizes the vital role of customized changes in agricultural methods in addressing hurdles and maximizing on potential for sustainable agricultural growth. (Kouvelis et al., 2006) According to the findings of this study, the majority of cultivators work on the ground surface. They are spending money on fertilizer, water, and insecticides. One farmer can grow cauliflower, which will occupy the ground's surface. Malabar spinach will occupy the air area starting two feet above the ground. Again, a loft can be built five to six feet above ground to grow several sorts of beans. Other short-term crops such as chilies, spinach, lettuce, and radish can be grown in the gaps between the cultivation bays. In sum, all four layers of crops will need the same quantity of fertilizer, insecticides, and water. Thus, the cost will be almost the same, but the outcome will be four times higher.

Spatial Patterns of Drone Adoption: Insights from Communities in Southern California

Most US cities have seen a rapid proliferation of Civilian drones in the past decade. This study applies spatial regression models to identify the potential spatial clustering of drone adoption and the effects of socioeconomic, Information and communication technology (ICT) infrastructure, and land use characteristics, with a focus on the association between drone adoption and high-speed broadband coverage (which provides access to information and infrastructure for drone technology). Drone adoption exhibited a significant spatial clustering pattern, indicating spatial interaction in innovation adoption. The age, income, occupation, and land use characteristics significantly explained the drone adoption rate, while populations of color and communities with lower broadband coverage had lower drone adoption rates, indicating racial and ethnic disparities in innovation technology adoption. The underlying digital divide amplifies such disparities and requires the development of policy interventions to reduce inequality.

Machine Learning for Prediction of Tuberculosis Detection: Case Study of Trained African Giant Pouched Rats.

Technological advancement has led to the growth and rapid increase of tuberculosis (TB) medical data generated from different health care areas, including diagnosis. Prioritizing better adoption and acceptance of innovative diagnostic technology to reduce the spread of TB significantly benefits developing countries. Trained TB-detection rats are used in Tanzania and Ethiopia for operational research to complement other TB diagnostic tools. This technology has increased new TB case detection owing to its speed, cost-effectiveness, and sensitivity. During the TB detection process, rats produce vast amounts of data, providing an opportunity to identify interesting patterns that influence TB detection performance. This study aimed to develop models that predict if the rat will hit (indicate the presence of TB within) the sample or not using machine learning (ML) techniques. The goal was to improve the diagnostic accuracy and performance of TB detection involving rats. APOPO (Anti-Persoonsmijnen Ontmijnende Product Ontwikkeling) Center in Morogoro provided data for this study from 2012 to 2019, and 366,441 observations were used to build predictive models using ML techniques, including decision tree, random forest, naïve Bayes, support vector machine, and k-nearest neighbor, by incorporating a variety of variables, such as the diagnostic results from partner health clinics using methods endorsed by the World Health Organization (WHO). The support vector machine technique yielded the highest accuracy of 83.39% for prediction compared to other ML techniques used. Furthermore, this study found that the inclusion of variables related to whether the sample contained TB or not increased the performance accuracy of the predictive model. The inclusion of variables related to the diagnostic results of TB samples may improve the detection performance of the trained rats. The study results may be of importance to TB-detection rat trainers and TB decision-makers as the results may prompt them to take action to maintain the usefulness of the technology and increase the TB detection performance of trained rats.

Analyzing the Evolution of Nepal's Tourism in 2022: Insights and Future Perspectives

This paper focuses into Nepal's internal aviation and tourism industries, underlining the essentiality of strategic planning. It investigates how Nepal's tourism sector has adapted to the global repercussions of COVID-19 and identifies successful strategies to increase tourism revenue following the pandemic. Through the application of both descriptive and inferential statistics, this research analyses data and visually conveys its conclusions. It emphasizes the importance of tailor-made marketing and promotional approaches designed for particular market segments and to exploit local strengths. The document evaluates recovery tactics post-COVID-19, the role of domestic tourism, and the need for upgrades in infrastructure and policies to foster the sustainable development of tourism in Nepal. The necessity for a cohesive approach among federal, provincial, and local governments to facilitate the proper allocation of resources and the execution of tourism initiatives is strongly advocated. The expansion of tourism-related infrastructure, including hotels with high star ratings and improved transport systems, is highlighted as a fundamental factor in supporting the surge of tourists to Nepal. The paper postulates that reinforcing economic development through policies favorable to the tourism industry will have a beneficial impact on international tourism. It urges a policy shift towards the improvement of tourism infrastructure and the adoption of technological innovations in its management.

Evaluation of operational efficiency and performance for a water treatment plant

The current study presents a comprehensive analysis of the operational efficiency and performance evaluation of the Hazelmere Water Treatment Plant over the period from 1999 to 2018. By focusing on the removal efficiencies of few parameters including iron (Fe), turbidity, and E. coli, the study provides valuable insights into the plant's ability to treat water effectively and produce high-quality drinking water. Leveraging data analysis techniques and computational tools, the research also explores the forecasting of water quality parameters beyond the study period, enhancing predictive capabilities for monitoring and managing water quality in the future. The Hazelmere Water Treatment Plant (WTP) has a daily capacity of 75 Ml it supplies water to the surroundings. Its intricate treatment process, featuring chemical dosing, clarification, filtration, and disinfection, operates harmoniously. The plant consistently exceeded global standards. Effluent turbidity consistently met stringent World Health Organization/South African National (WHO/SANS) discharge standards at ≤ 1 NTU. The turbidity removal efficiencies ranged from 65.88 to 99.61 % on average over the period from 1999 to 2018. Iron removal also adhered to WHO/SANS criteria, registering ≤ 2 mg/L. The removal efficiencies have ranged from 82 to 99% on average for the same period. Most impressively, E. coli removal efficiency maintained a flawless 100 % for the same period, indicating a pathogen-free effluent throughout the period, with a steady annual average of 0 MPN/100 m, some challenges have occurred including the contamination of the freshwater from the dam, the limited data availability, and issues related to sustainability and compliance. These challenges were overcome by using advanced tools for data analyses such as R package, developing a performance evaluation framework and establishing recommendations for the adoption of innovative technologies, and improvements in operation and maintenance practices. Overall, this study makes significant contributions to the field of wastewater treatment and water quality management, advancing our understanding of sustainable water resource management and environmental protection.

Barriers to the adoption of multiple agricultural innovations: insights from Bt cotton, wheat seeds, herbicides and no-tillage in Pakistan

Barriers to the adoption of multiple agricultural innovations: insights from Bt cotton, wheat seeds, herbicides and no-tillage in Pakistan

The Radiation Therapy Technology Evidence Matrix: a framework to visualize evidence development for innovations in radiation therapy.

Clinical evidence is crucial in enabling the judicious adoption of technological innovations in radiation therapy (RT). Pharmaceutical evidence development frameworks are not useful for understanding how technical advances are maturing. In this paper, we introduce a new framework, the Radiation Therapy Technology Evidence Matrix (rtTEM), that helps visualize how the clinical evidence supporting new technologies is developing. The matrix is a unique 2D model based on the R-IDEAL clinical evaluation framework. It can be applied to clinical hypothesis testing trials, as well as publications reporting clinical treatment. We present the rtTEM and illustrate its application, using emerging and mature RT technologies as examples. The model breaks down the type of claim along the vertical axis and the strength of the evidence for that claim on the horizontal axis, both of which are inherent in clinical hypothesis testing. This simplified view allows for stakeholders to understand where the evidence is and where it is heading. Ultimately, the value of an innovation is typically demonstrated through superiority studies, which we have divided into three key categories - administrative, toxicity and control, to enable more detailed visibility of evidence development in that claim area. We propose the rtTEM can be used to track evidence development for new interventions in RT. We believe it will enable researchers and sponsors to identify gaps in evidence and to further direct evidence development. Thus, by highlighting evidence looked for by key policy decision makers, the rtTEM will support wider, timely patient access to high value technological advances.

GESTÃO EFICIENTE DE ESTOQUES E INOVAÇÃO TECNOLÓGICA: FATORES-CHAVE PARA O SUCESSO EMPRESARIAL

Efficient stock management and the adoption of technological innovations are crucial factors in guaranteeing a company's success in an increasingly competitive and dynamic market. Based on this realisation, this article aims to address the importance of these two elements for excellence in business management. In order to achieve this objective, bibliographical research was carried out, consisting of analysing various articles, books, theses and dissertations related to the topic in question. The bibliographic methodology allows us to obtain up-to-date, scientifically-based information, which contributes to the reliability and relevance of the results presented. By analysing the results obtained, it was possible to see that efficient stock management provides a series of advantages for organisations, such as cost reduction, increased operational efficiency, improved customer service and greater competitiveness in the market. Finally, it can be concluded that the combination of efficient stock management and technological innovation is fundamental to the success and survival of companies in today's business environment. Organisations that manage to implement these practices effectively are able to stand out in an increasingly dynamic and challenging market. It is therefore essential that companies invest in training their managers and in the use of technologies that favour efficient stock management in order to achieve positive and sustainable results.

Survey of emerging technologies and return on investment in oil palm business in south-south states of Nigeria

The difference between the oil palm business in developed economy like Malaysia and that in less developed economy like Nigeria can be traced to technological advancement. Therefore there is continuous search for production and processing technologies that can drive development of the oil palm value chain. The broad objective of the study was to investigate the effect of innovative technologies on performance of oil palm business in South-South geo-political States of Nigeria. The study employed a multi-stage sampling procedure. Well validated structured questionnaires were used as instrument for data collection. Collected data were analysed using descriptive and inferential statistical tools such as mean, Percentage, Standard Deviation, Frequency Distribution Table, enterprise budgeting, and ordinary least square regression analysis. Socioeconomic characteristics of operators were diverse, with a predominance of young, married, male farmers (60.9%) engaged in small-scale production (mean farm size: 13.2 hectares). Traditional tools still dominated harvesting, but hydraulic press (adopted by 71.1%) and automated mills (5.3%) were adopted for processing. Value addition was substantially improved by processing technology and harvesting equipment in the South-South States of Nigeria. The study concluded that appropriate innovative technologies positively impacted profitability, efficiency, product quality, sustainability, and competitiveness. Training, subsidies and robust extension services to promote adoption of innovative technologies in the South-South States of Nigeria were recommended. The study has contributed to existing body of knowledge by affirming the central role of innovation in profit function and sustainability in the oil palm sector.

Investigation of Rates of Demolition Waste Generated in Decoration and Renovation Projects: An Empirical Study

There is an increase in decoration and renovation activities in the construction industry, and waste generation rates (WGRs) play a crucial role in guiding the management of demolition waste in decoration and renovation projects (DWDRPs). However, there has been little systematic research on this type of waste. Based on site surveys and a document review of 26 projects, this study offers insights into DWDRP wastes, from their initial generation to their final disposal. The results revealed that the WGRs for DWDRPs ranged from 30.96 kg/m2 to 629.96 kg/m2 and that the key components of DWDRPs included mortar, concrete, timber, tile, and metal; these five types of waste contributed 75.02% of the total waste. Although these findings deviate slightly from those of previous studies, these variations are attributed to diverse waste management practices, awareness levels, and employed construction technologies. Despite its importance, in China, the management of DWDRPs faces challenges, such as limited public awareness, inadequate collection and sorting guidance, and insufficient legislation. To counter these issues, we recommend a set of strategies, including stringent regulations, enhanced supervision, government incentives, improved collection and sorting methods, and the adoption of innovative technologies. This study not only sheds light on the specific challenges in decoration and demolition waste management in rapidly urbanizing areas but also proposes a comprehensive approach for improving waste management practices.