Diffusion Of Innovation Theory Research Articles

OPTIMIZING PROJECT TIMELINES: THE IMPACT OF E-PROCUREMENT IN ACCELERATING PUBLIC SECTOR PROJECTS IN NIGERIA

Purpose: E-procurement is recognized globally as a tool for enhancing efficiency and transparency, with major intergovernmental bodies advocating its adoption. This study investigates the impact of electronic procurement (e-procurement) on project completion times in the Nigerian public sector. The research focuses on e-tendering, e-invoicing, and e-sourcing, hypothesizing their effects on project completion times. Theoretical Framework: The study employs a conceptual framework highlighting the interplay between e-procurement practices and government policies. Theoretical frameworks, including Innovation Diffusion Theory and Technology Acceptance Theory guided the study. Design/Methodology/Approach: The study adopted a descriptive survey research design to collect primary data from 361 procurement staff from four agencies in Abuja using a structured questionnaire. Data collected were analysed using descriptive statistics and multiple regression analysis. Findings: The results indicate a positive relationship between e-procurement practices and project completion times, with e-invoicing having the most significant impact. However, the introduction of government e-procurement policies as a variable diminishes the individual effects of e-tendering, e-invoicing, and e-sourcing. Research, Practical & Social Implications: The study established a positive relationship between electronic procurement practices and project completion times, with higher implementation levels resulting in shorter project durations. However, organizations should evaluate their impact, balance oversight and efficiency. Originality/Value: By focusing specifically on the Nigerian public sector, testing clearly defined e-procurement elements, collecting robust primary data, and generating new context-specific evidence, this study makes an original, timely and valuable contribution to knowledge on the impact of e-procurement adoption.

A study on the impact of full eco-smart home on the cognitive load and perceptual needs of elderly users

In the context of the digital era, the factors influencing the cognitive load of the full ecological smart home on the elderly are mostly interconnected. Most existing studies have conducted single correlation analyses, ignoring the fact that cognitive load is the result among multiple interactions of multiple factors. Furthermore, the color, material and Finishing of the product design can also impact on the user’s perceptual needs. Therefore, exploring the grouping dynamics of cognitive load and users’ perceptual needs for color (C), material (M), and Finishing (F) of smart products can provide insights for inclusive design of smart homes. The article analyzes the asymmetric multiple concurrent causal effects of full ecological smart homes on the cognitive load of the elderly from a histological perspective using fuzzy set Qualitative Comparative Analysis (fsQCA) based on the four elements of Innovation Diffusion Theory. At the same time, principal component analysis and quantitative theory I class method are used to explore the quantitative relationship between color, material, Finishing and users’ perceptual imagery of the product. The results of the study showed that there were no necessary conditions leading to high or low cognitive load in the fsQCA analysis, indicating that the problem was the result of the interaction of multiple conditions, and the final analysis yielded three histological pathways leading to low cognitive load and one pathway leading to high load in older adults. Moreover, the study identifies the combination of colors, materials, and finishes that best represent user preferences. This study establishes a dialogue between theory, results, and cases in analyzing of the group dynamics of the impact of full ecological smart homes on the cognitive load of the elderly. It provides a theoretical basis for the development of digital inclusion enhancement strategies.

One-size fits all? Evaluating group differences in an integrated social cognition model to understand COVID-19 vaccine intention and uptake

Vaccine programs significantly reduce disease burden within a population. The COVID-19 vaccine facilitated a return to “normal”; however, vaccine coverage remains below target levels. Identifying predictors of vaccine uptake is vital for individual and community health. The present study used the Reasoned Action Approach and integrated hazard-specific risk perception, to predict COVID-19 vaccine intention and uptake behavior. Informed by the diffusion of innovations theory, differences in associations and model effects were tested by early adopter status of the seasonal influenza vaccine. We recruited participants online within the United States for a longitudinal survey study. The integrated social cognition model provided an acceptable to ideal fit for both groups but performed better among the not early adopter group with better fit statistics, mostly stronger effect sizes, and greater variance accounted for in intention to vaccinate against COVID-19. Instrumental attitudes toward the COVID-19 vaccine predicted intention for both groups, and uptake among the non-early adopters. Capacity predicted intention among early adopters, and behavior among non-early adopters. Among non-early adopters, subjective norms had a direct effect on intention and an indirect effect on vaccine uptake behavior. Intervention research to support COVID-19 vaccine uptake focusing on the utility of vaccines, fostering self-efficacy, and providing normative information is warranted.

Refueling convenience and range satisfaction in electric mobility: Investigating consumer willingness to use battery swap services for electric vehicles

Battery swap service (BSS) is a game-changing innovation for achieving electric vehicle (EV) refueling, driving range satisfaction, and convenience. BSS is an avenue for swapping a worn-out EV battery for a pre-charged one, eliminating the long charging times of batteries. However, consumer adoption of BSS is overlooked, lacking empirical support. BSS is encouraged as it makes clean ‘fuel’ readily available for EV use. Consumer willingness to patronize BSS is pivotal to EV usage, sustainable transport, and pollution mitigation. Consequently, the innovation diffusion theory is extended with attitude, perceived risk, green self-identity, and task-technology fit to investigate consumer willingness to use BSS. Utilizing a partial least squares-structural equation model (PLS-SEM), 618 responses were analyzed. The outcome revealed that relative advantage, compatibility, attitude, green self-identity, and task-technology fit positively impacted willingness to use BSS. Perceived risk had a significant adverse effect on willingness to use BSS. Attitude mediated the impact of relative advantage and task-technology fit. Also, perceived risk negatively affected attitude. Further, ANOVA analysis confirmed the impact of consumer demography on the willingness to use BSS. Policies involving swapping standardization and synchronization, public sensitization, monetary incentives, and battery performance enhancement are recommended for enhancing BSS acceptance, usage, and proliferation.

The intention of college students to use electronic cigarettes: A study based on the theory of innovation diffusion.

The purpose of this study is to examine the use of electronic cigarettes (e-cigarettes) among college students in Hangzhou, and to analyze the influencing factors of their intention to use e-cigarettes. Using a stratified cluster sampling method, 775 students from two universities in Hangzhou were selected for an on-site questionnaire survey from March to April 2022. Adjusted logistic regression analysis was conducted on the influencing factors of use intention, based on innovation diffusion theory. Within our sample of college students, 16.5% of students had tried e-cigarettes; 6.32% had used e-cigarettes in the past month, and 8.0% had the intention to use e-cigarettes. There were significant differences in willingness to use e-cigarettes among different genders, economic status, smoking status of close friends around them, and their own use of tobacco and alcohol (p<0.05). The logistic regression model showed that the observability of e-cigarettes (AOR=1.28; p<0.05), personal factors (AOR=1.39; p<0.05), and social systems (AOR=1.63; p<0.05), were all influencing factors of intention to use e-cigarettes. College students in Hangzhou have a high intention to use e-cigarettes, and the impacts of the product itself, individual characteristics and the living environment are crucial. It is necessary to strengthen the promotion of tobacco knowledge at the social and family levels to reduce the occurrence of vaping.

Influence of Social Media on News Reportage and Authenticity of Covid-19 Stories

This work evaluates the influence of social media on news reportage and authenticity of covid-19 stories. In conducting this study, the researcher raised three research questions and three hypotheses. User and gratification theory was developed in 1974 by Katz, Blumler and Gurevitch and Diffusion of Innovations theory by Rogers were used to build theoretical support for the study. The survey research design was used to evaluate the opinions of 53 sampled respondents from Passion FM Uyo and NTA Uyo. After the analysis, findings revealed that, social media has an influence on news reporting in Nigeria and that it also has influence on the authenticity of news reported. Finally, it was found that social media had an influence on COVID-19 news reporting. Based on these findings, it was recommended that users of social media should be wary of some of the contents they consume as unscrupulous users have been found to display misleading information that could be harmful to the public. Again, members of the public are encouraged to desist from the various abuses of the use of social media for the interest of greater number of Nigerians found to be users of the sites in search of various relevant pieces of information.

Balancing Justice in Pixels: Legal and Constitutional Implications of Virtual Court Sessions in Ghana

The legal sector is experiencing a transformative shift towards the adoption of virtual court sessions to enhance efficiency, accessibility, and transparency within judicial systems. However, this paradigm shift is not without its challenges. This research examined the implementation of virtual court sessions in Ghana, focusing on the legal and constitutional implications of the Practice Direction issued by the Chief Justice. While digitalization of court proceedings holds promise, concerns regarding privacy, technological disparities, and the preservation of due process rights loom large. The research drew on a recent case of Law to affirm that administrative/practice directives fall outside the purview of Laws of Ghana. The study employed the Innovation Diffusion Theory as the lens for analyzing and proposing a solution framework to sustain virtual court systems in Ghana. The findings of the study included the implementation strategy incompatibility of virtual court hearing with the existing legal framework for observing due process and the fundamental rights of citizens. The solutions require a balanced approach that acknowledges the strengths of both the traditional court system and technology. To sustain virtual court hearing, strategies for addressing implementation and legitimacy concerns, enhancing the compatibility of virtual court technology security with existing legal framework and practices, and ensuring long-term adherence to constitutional requirements should be paramount. Substantive law and regulation including relevant constitutional amendments may be necessary to ensure smooth implementation. Keywords: e-Justice system, Implementation, Virtual Court Sessions, Practice Direction, Due Process, Proceedings, Ghana.

Islamic mental health financing schemes for parents with mental disorder children

Purpose This study aims to examine the receptiveness of Islamic mental health financing schemes among parents with mental disorder children in Malaysia. Design/methodology/approach The innovation diffusion theory (IDT) was used to examine the factors influencing the receptiveness using empirical data from 323 respondents. Findings The IDT’s factors, namely, compatibility, relative advantage and simplicity were instrumental in determining the receptiveness. Research limitations/implications The usefulness of the results obtained was confined to the theory used as well as the geographical areas chosen. Practical implications The results obtained serve as a useful reference guide for Islamic banks in offering these schemes to parents with mental disorder children. Originality/value To the best of the authors’ knowledge, this study is the first to test the effects of financial innovation drivers on the proposed Islamic mental health financing schemes in terms of their receptiveness.

Influence of innovation diffusion factors on non-users’ adoption of digital banking services in the banking 4.0 era

Purpose This study aims to study the factors that drive non-users of digital banking services rendered by Islamic banks in Malaysia towards their adoption of digital services in the banking 4.0 era using the innovation diffusion theory (IDT), also known as the diffusion theory of innovation (DOI). Design/methodology/approach IDT theory and literature on intention to adopt digital bank services were reviewed in a bid to contribute to the factors that drive non-users to adopt digital banking. Findings The review suggests that the adoption of digital banking is determined not only by perceived relative advantage, and perceived compatibility but also by additional factors in IDT theory, which are technology self-efficacy and perceived expected benefits. On the contrary, perceived complexity does not turn out to be a factor of digital banking adoption. Research limitations/implications Considering this paper in terms of the limited scope of the theory rendered and the context, it should be given proper attention when interpreting future outcomes when further investigations are brought into play in terms of population and sampling method. Practical implications This paper serves as a guide to ensure the better planning of non-users’ adoption factors related to Islamic bank customers in both theory and practice. Originality/value DOI is extended in the context of digital banking, as evidenced by empirical results, and literature shows that IDT integrated with the technology self-efficacy model is yet to be proposed in the digital banking adoption by Islamic bank customers. Additionally, variables, namely, perceived expected benefits and technology self-efficacy, are proposed in IDT’s existing model. Current findings will therefore serve as a relevant reference for digital technology specialists, policymakers, Islamic banks’ IT managers, academicians and future researchers.

Digital technology and Nollywood film industry

Film also known as the 7th Art is a medium for education, information and entertainment which has over the years undergone a series of technological innovations. This paper examines the evolution of cinema from the ‘silent era’ to the ‘new age era’ characterized by a trajectory of innovations and improvements due to technological developments. The paper adapts the Diffusion of Innovations Theory (DIT) propounded by Everett Rogers in 1962 to assess the extent to which innovations in digital technology have altered the old traditional film production landscape. The paper seeks, among others, to determine and highlight the significant areas technology has impacted on the development of motion pictures globally with particular emphasis on the Nigerian film industry popularly known as Nollywood. Our major point of interest is on the roles, impacts, challenges and prospects of digital technology in the areas of production, distribution, marketing and exhibition of films. By using the assumptions of DIT which seeks to explain how, why, and at what rate new ideas and technology spread. The paper further reviews relevant literature and some empirical results from scholars to justify its claims. We are able to establish in our findings that digital technology is the driving force of film development which has contributed enormously to world cinema. Furthermore, the rapid development and emergence of Nollywood film industry as the second largest producer of films in the world next to Bollywood of India is attributable to the emergence of digital technology.

Examining the factors affecting technology continuance and its role in economic growth of emerging economies

Technological developments have been thought to portray a pivotal role in promoting economic growth, particularly within the financial sector in developing economies which has been reported significantly influenced by users' perceptions of technology usability, which are shaped by their technology usage experiences. This study integrates antecedents of the UTAUT model with the Innovation Diffusion Theory to empirically assess the perceived usability of Internet banking and its role for economic growth. Post-experience data were collected from 315 banking clients in Lahore, Pakistan. After validating the sample's reliability, validity, adequacy, and sphericity, a structural equation model (SEM) was employed to test the study's hypotheses. The findings revealed that the perceived usability of bank clients was positively influenced by perceived ease of use and perceived usefulness, which in turn impact their intention to continue the use of Internet banking. Mediating role of perceived usability did not support by the results. However, the presence of ease of use and usefulness exhibited a positive moderating effect of financial risk on users' intention to continue using Internet banking. These findings provide valuable insights for academics seeking to comprehend users’ experience and usability about the use of technology. Additionally, the results steer policymakers to formulate effective policies that maintain users’ engagement in Internet banking, thus contributing to economic growth through effective use of technology. Notably, this study contributes new perspectives based on data collected from functioning Internet banking users in developing economies.

Adoption of digital marketing in tourism SMEs: a review and research agenda

PurposeThis paper aims to present a review of small and medium-sized enterprise (SME) literature on the adoption of technology for marketing with the objective the knowledge trajectory from SMEs to tourism SMEs (TSMEs) and presents a research agenda for the adoption of digital marketing among TSMEs.Design/methodology/approachThe quantitative literature review method is adopted to analyze 50 articles published in high-ranking journals from 2011–2021. The selected papers were reviewed to quantitatively present the popular theoretical frameworks, constructs and research methods used for the adoption of digital marketing among SMEs and to present a future research agenda in the context of TSMEs.FindingsThe findings present a review of theoretical approaches, research design, methods, and models used by researchers, and identify new directions for future research in the context of the adoption of digital marketing among TSMEs. The paper presents a theoretical critique of the technology adoption theories and builds on diffusion of innovation theory, technology–organization–environment (TOE), and institutional theory to propose an expanded model to study digital marketing adoption among TSMEs.Research limitations/implicationsThe article presents a significant advancement in the theoretical understanding of the adoption of digital marketing by offering the application of the TOE framework with moderating role of mimetic and normative pressures. Thus, the study contributes to the scarce research on institutional theory in the context of services (tourism) and offers an alternative and holistic perception to study digital marketing. The research model serves as an organizing tool for future researchers and practitioners to probe and further augment knowledge development in tourism and TSMEs.Originality/valueNegligible published work on TSMEs makes this study valuable and the proposed model gives strategic information in the given context.

Influence of Green Marketing Strategies on Consumer Behavior

Purpose: The aim of the study was to assess the influence of green marketing strategies on consumer behavior. 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: Research on the influence of green marketing strategies on consumer behavior reveals several key findings. Firstly, consumers increasingly prioritize environmentally friendly products and companies, driven by concerns about sustainability and climate change. Green marketing strategies, such as eco-labeling, eco-packaging, and messaging emphasizing environmental benefits, significantly influence consumer perceptions and purchasing decisions. Studies indicate that consumers are willing to pay a premium for products perceived as environmentally friendly, particularly when accompanied by credible certifications or endorsements. Additionally, consumers tend to exhibit greater brand loyalty to companies perceived as environmentally responsible. However, the effectiveness of green marketing strategies can vary depending on factors such as consumer demographics, product characteristics, and the perceived sincerity of the company's environmental efforts. Overall, the findings underscore the significant impact of green marketing on shaping consumer behavior and highlight the importance for companies to integrate sustainable practices into their marketing strategies to meet evolving consumer preferences and contribute to environmental conservation efforts. Implications to Theory, Practice and Policy: Theory of planned behavior, diffusion of innovation theory and cognitive dissonance theory may be use to anchor future studies on assessing the influence of green marketing strategies on consumer behavior. Businesses should prioritize authentic and transparent green marketing strategies that resonate with consumer values and preferences. Governments and regulatory bodies should enact policies that incentivize and promote green marketing practices among businesses.

Investigating factors of students' behavioral intentions to adopt chatbot technologies in higher education: Perspective from expanded diffusion theory of innovation

With the emergence of emerging 4IR technologies, AI application tools (chatbots) are becoming more and more popular and widespread in various fields, including education. This study investigates the factors that influence undergraduate students' inclination to utilize AI application tools, specifically chatbots, for educational purposes. We applied an expanded diffusion theory of innovation framework to examine the relationships between relative advantages, compatibility, trialability, trust, perceived usefulness, perceived ease of use, and behavioral intention. Data from 842 undergraduate students were collected through a questionnaire using a 7-point scale, and the findings were analyzed using SmartPLS 4.0.9.2 software with a covariance-based structural equation model. The results confirm the hypotheses regarding the relative advantages, compatibility, trialability, perceived usefulness, and trust of chatbots. Students who perceive the benefits of chatbots express a strong intention to use them for academic purposes. The perception of compatibility between students and chatbots positively influences their adoption intention, and those who have the opportunity to try out chatbots are more likely to use them, indicating the importance of trialability. Surprisingly, the study did not find direct relationships between perceived usefulness, perceived ease of use, and behavioral intention, suggesting the presence of other influencing factors or dynamics in the adoption of chatbots for educational purposes. The findings offer practical insights for students and contribute to the theoretical understanding of the diffusion theory of innovation. Future research can further explore these findings to gain deeper insights into the complexities of chatbot adoption and enhance the adoption of AI tools in educational settings.

Impact of Social Media on Fashion Trends and Consumer Behavior in Kenya

Purpose: The aim of the study was to investigate the impact of social media on fashion trends and consumer behavior.&#x0D; 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.&#x0D; Findings: Social media democratizes fashion by offering diverse content, shaping trends and consumer behavior. Platforms like Instagram and TikTok facilitate trend dissemination and peer-to-peer recommendations. They also integrate commerce, transforming the shopping experience. Ultimately, social media is pivotal in driving real-time fashion trends and shaping consumer preferences.&#x0D; Unique Contribution to Theory, Practice and Policy: Social identity theory, diffusion of innovation theory &amp; social learning theory may be used to anchor future studies on the impact of social media on fashion trends and consumer behavior. Fashion brands and marketers should leverage social media platforms to engage with consumers in meaningful ways, fostering community-building and co-creation of content. Policymakers should consider regulating the transparency and authenticity of sponsored content on social media platforms to mitigate the potential for deceptive marketing practices and protect consumers from misinformation.

History and Evolution of Fashion and Design in Different Regions and Periods in France

Purpose: The aim of the study was to investigate the history and evolution of fashion and design in different regions and periods.&#x0D; 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.&#x0D; Findings: The evolution of fashion and design in France is a captivating journey through history, marked by distinct periods of innovation and cultural influence. From the opulence of the Baroque and Rococo eras to the revolutionary shifts of the 19th century, French fashion has continually adapted to societal changes while retaining its elegance and sophistication. Paris, with its illustrious couture houses and fashion pioneers like Coco Chanel, has remained at the forefront of the industry, setting trends and shaping the global aesthetic landscape.&#x0D; Unique Contribution to Theory, Practice and Policy: Diffusion of innovations theory, cultural appropriation theory &amp; fashion system theory may be used to anchor future studies on the history and evolution of fashion and design in different regions and periods. Insights gleaned from the history and evolution of fashion and design can inform contemporary fashion practices, from design to production and marketing. Policymakers can benefit from historical analyses of fashion and design in shaping regulations and initiatives that promote cultural heritage preservation, ethical production, and inclusive representation within the fashion industry.

Application of Artificial Intelligence and Digital Technologies in Fashion Design and Innovation in Nigeria

Purpose: The aim of the study was to investigate the application of artificial intelligence and digital technologies in fashion design and innovation.&#x0D; 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.&#x0D; Findings: AI and digital technologies revolutionize fashion by aiding design through data analysis, enabling virtual prototyping, and providing personalized recommendations. They optimize supply chains, enhance sustainability, and offer virtual try-on experiences. Customization options expand, driven by predictive analytics for trend forecasting, while AI-driven customer engagement tools enhance support. These innovations foster efficiency, sustainability, customization, and customer engagement in fashion.&#x0D; Unique Contribution to Theory, Practice and Policy: Social identity theory, diffusion of innovation theory &amp; social learning theory may be used to anchor future studies on the application of artificial intelligence and digital technologies in fashion design and innovation. Implement AI-driven customization tools that allow customers to design their own clothing, leading to increased customer satisfaction and brand loyalty. Encourage the adoption of technologies that promote inclusivity and diversity in fashion by providing incentives for companies to invest in personalized design solutions.

Cryptocurrency Adoption in Traditional Financial Markets in the United States

Purpose: The aim of the study was to assess the cryptocurrency adoption in traditional financial markets in the United States. 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: Cryptocurrency adoption in traditional financial markets in the United States has been marked by a gradual but significant increase in interest and integration. Studies indicate that while the adoption rates vary across different sectors, there's a growing acceptance and utilization of cryptocurrencies among institutional investors, particularly in the form of investment products like Bitcoin futures and exchange-traded funds (ETFs). Regulatory clarity and institutional infrastructure developments have played crucial roles in fostering this adoption. Additionally, the involvement of prominent financial institutions and corporations, such as banks offering cryptocurrency custody services and major companies integrating Bitcoin into their balance sheets, highlights a broader acceptance of cryptocurrencies within traditional finance. Implications to Theory, Practice and Policy: Technology acceptance model (tam), diffusion of innovations theory and institutional theory may be use to anchor future studies on assessing the cryptocurrency adoption in traditional financial markets in the United States. Develop educational initiatives aimed at enhancing financial literacy and cryptocurrency awareness among investors, financial professionals, and policymakers. Advocate for clear and coherent regulatory frameworks that provide legal certainty and consumer protection while fostering innovation and market development.

Luckin Coffee in China: An Innovative Coffee Brand Dominating the Chinese Market amid the Covid-19 Pandemic

Although China is historically known as a tea-consuming country, coffee consumption in China has been increasing at double-digit rates in recent years. Based on the Diffusion of Innovation Theory, we explored Luckin Coffee’s innovative business concepts, including operational efficiency and marketing strategies such as price advantage, technical-support system, omnichannel sales, and social media promotion to expand market share. In addition, Luckin Coffee’s advanced technology and digital customer engagement have given the company an unexpected boost, as the importance of social distancing and minimizing physical contact became the new norm and standard practice during the COVID-19 pandemic era. This study provides practical insights into the impact of technology and process innovation on enhancing brand value and attracting new customers within the coffee shop and hospitality industries.

A comparative analysis of Chinese green building policies from the central and local perspectives using LDA and SNA

ABSTRACT China’s construction, energy consumption, and emissions are the world’s largest, making green building (GB) crucial for sustainable development and climate action. GB policies play a crucial role in promoting sustainable development and mitigating environmental impacts. This paper presents a comprehensive analysis of China’s GB policies at both central and local levels using natural language processing (NLP), Latent Dirichlet Allocation (LDA), and semantic network analysis (SNA). It also integrates three theoretical frameworks: Policy Implementation Theory, Sustainable Development Theory, and Innovation Diffusion Theory. The study aims to: (1) compare the characteristics of central and local GB policies; (2) identify problems and propose solutions to improve policy effects and impacts. The results show that both levels of policies cover various sustainability aspects but with different focuses. The SNA reveals the semantic relationships and differences within the policy documents. The study suggests several strategies to enhance GB policy effectiveness and sustainability, based on the three theoretical frameworks. These strategies include providing more specific guidance, enhancing financial support and incentives, promoting technological advancements, strengthening monitoring and evaluation, adopting a more systematic approach, democratizing policy formulation, identifying key stakeholders and influencers, and considering innovation characteristics. This study contributes to the GB policy research and practice in China. It is also the first study to use NLP, LDA, and SNA to comprehensively analyze China’s GB policies, and the first study to apply the three theoretical frameworks to GB policy analysis.