Journal of the Knowledge Economy最新文献

{"title":"Application of Generative Artificial Intelligence AIGC Technology Under Neural Network Algorithm in Game Character Art Design","authors":"Jiaqi Li, Qinchuan Liu","doi":"10.1007/s13132-024-02152-z","DOIUrl":"https://doi.org/10.1007/s13132-024-02152-z","url":null,"abstract":"<p>This paper aims to improve the efficiency and quality of game character design through artificial intelligence for generative content (AIGC). Firstly, an image extraction model based on a convolutional neural network and a game character image generation model based on a generative adversarial networks model is designed. Then, experiments are used to evaluate the loss of the model, and the performance of AIGC technology and traditional game character design methods is compared. The experimental results show that the average realism of game characters generated by the AIGC method is 0.85, which is higher than that of the traditional method of 0.82. The average value of the peak signal-to-noise ratio is 15.71, which is significantly better than the traditional method of 11.24. In addition, the Fréchet Inception Distance indicator suggests that the average of the AIGC method is 1.14, which is lower than the traditional method of 2.33. The learned perceptual image patch similarity averages 1.16, which is closer to the real sample than the traditional method of 2.17. Meanwhile, the game character design generated by AIGC technology only takes 0.85 h on average, which is much lower than the 3 h of traditional methods. Also, the uniqueness analysis of samples generated by AIGC is carried out. It is found that about 80 out of 100 generated samples are unique, indicating that the diversity of samples generated by AIGC is high, and the character design is quite different. The results show that AIGC technology has important application potential in in-game character design, which can provide higher-quality, more realistic, and diversified game character design to improve game experience and competitiveness.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"133 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141518620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fostering Tolerance and Inclusivity: The Transformative Impact of Ideological and Political Education on University Students","authors":"Wei Zhao, Xiaoguang Zhang","doi":"10.1007/s13132-024-02119-0","DOIUrl":"https://doi.org/10.1007/s13132-024-02119-0","url":null,"abstract":"<p>Ideological and political education (IPE) encompasses a multifaceted domain within the educational landscape, aiming to instill a comprehensive understanding of fundamental beliefs, values, and political processes. This study explores the effects of IPE on university students, with a specific focus on its contribution to fostering a more tolerant and inclusive mindset. The study utilizes a quantitative methodology, collecting information from 221 participants via a standardized survey and processing it with SPSS software for analysis. The study contributes novelty by delving into the transformative potential of IPE, particularly in fostering tolerance and inclusivity among students. The study indicates that active engagement in IPE programs can foster greater awareness and understanding of key political ideologies. Moreover, exposure to such education correlates positively with increased civic engagement among students. The results also suggest that comprehensive IPE enhances critical thinking skills and analytical abilities. Additionally, this form of education contributes to the development of a more tolerant and inclusive mindset among students. Finally, the study hints at an impact on students’ beliefs and behaviors in society. This research not only illuminates the complex dynamics of IPE within university settings but also underscores the transformative potential it holds for shaping well-informed, engaged, and socially conscious individuals.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"18 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141518625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors Influencing a Manufacturing Firm to Adopt ISO 14001 Standard","authors":"Naveed Hayat, Heman D. Lohano","doi":"10.1007/s13132-024-02132-3","DOIUrl":"https://doi.org/10.1007/s13132-024-02132-3","url":null,"abstract":"<p>ISO 14001, established by the International Organization for Standardization (ISO), serves as the preeminent global standard for environmental management systems (EMS), symbolizing an organization’s commitment to sustainability and blending environmental stewardship with strategic business advancement. This study aims to examine the factors influencing a firm’s decision to adopt ISO 14001, leveraging a panel dataset spanning a decade and encompassing 245 firms listed on the Pakistan Stock Exchange (PSX). Our findings, derived from panel logit regressions, show several pivotal insights. Older firms and those with prior experience in implementing the ISO 9001 standard are more likely to adopt ISO 14001. A manufacturing firm’s decision to adopt ISO 14001 is significantly influenced by pressure from foreign customers, highlighting the role of global market dynamics in shaping environmental compliance strategies. We also find that firms exhibiting higher levels of competitiveness are more predisposed to ISO 14001 adoption. Similarly, those emphasizing raw material efficiency tend to adopt the standard, while energy-inefficient firms are also inclined towards its adoption. Furthermore, firms with greater financial performance and capital-intensive firms are more likely to adopt the standard. These findings not only contribute to our understanding of ISO 14001 adoption dynamics but also hold practical implications for policymakers and managerial decision-makers within manufacturing firms, particularly in developing economies.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"166 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141518548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Why Do Users Adopt Mobile Payment? An Integrated Model","authors":"Thuy Dung Pham Thi, Van Kien Pham, Nam Tien Duong","doi":"10.1007/s13132-024-02118-1","DOIUrl":"https://doi.org/10.1007/s13132-024-02118-1","url":null,"abstract":"<p>Given the advancements in mobile communication technology and the proliferation of smartphones, mobile payment has revolutionized traditional payment. This study is based on the Technology Acceptance Model (TAM) and the Task-Technology Fit (TTF) model, grounded in users’ psychological characteristics. We incorporate openness, technology anxiety, and network externalities for analysis and exploration, hoping to gain a deeper and systematic understanding of the relationship in usage intention. A total of 287 valid questionnaires were collected, with an effective response rate of 95.6%. The results show the following: (1) Openness, and TTF have a positive significant impact on the perceived ease of use (PEOU) of mobile payment. (2) Technology anxiety has a negative significant effect on the PEOU of mobile payment. (3) Task characteristics and technology characteristics have a positive significant impact on the TTF of mobile payment. (4) PEOU, network externalities, and TTF have a positive significant impact on the perceived usefulness (PU) of mobile payment. (5) PU has a positive significant effect on the intention to use mobile payment. The findings provide us with some insights into the trend of mobile payment today.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"40 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Carbon Abatement and Socio-environmental Impacts Oriented to Government Policies and Corporate Social Responsibility","authors":"Hua Wang, Yanle Xie, Cuicui Wang, Weihua Huang","doi":"10.1007/s13132-024-02117-2","DOIUrl":"https://doi.org/10.1007/s13132-024-02117-2","url":null,"abstract":"<p>Under the constraint of considering corporate social responsibility (CSR), companies have to consider the impact of corporate social responsibility on their production operations and carbon abatement decisions. Therefore, we develop three decision models to explore the impact of different subsidy policies on manufacturers’ carbon emission reduction under CSR, and analyze the optimal subsidy policies. Furthermore, we investigate the impact of CSR on social welfare and social environment under different subsidy policies. We find that manufacturers are more willing to reduce carbon emissions, mitigate negative environmental impacts, and improve social welfare under consumer subsidies. However, we find that social welfare and socio-environmental impacts under consumer subsidies are not necessarily better than manufacturer subsidies when the level of CSR is low. Besides, we show that manufacturer subsidies are not always beneficial for improving social welfare and reducing negative socio-environmental impacts. Moreover, we find that manufacturer subsidies may lead to worse environmental impacts and social welfare when the level of CSR is low.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"17 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141518551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating Social Media Insights for Innovation Performance Enhancement: A Transformer-Based Analysis","authors":"Ang Wang, Yue Niu","doi":"10.1007/s13132-024-02162-x","DOIUrl":"https://doi.org/10.1007/s13132-024-02162-x","url":null,"abstract":"<p>With the development of the times, social media in daily work is increasingly popular, which has a potential impact on employee innovation performance. However, current research only focuses on single factor analysis. In order to enhance this research, this paper studies transformer model, attention mechanism, and other advanced data analysis methods to investigate the subtle relationship between employees’ use of social media and its impact on a company’s innovation performance. Our research introduces a multidimensional approach that encompasses both organizational and individual perspectives, offering a comprehensive understanding of social media’s dualistic nature in fostering innovation. Employing an innovative methodological framework, we integrate factor analysis with a transformer-based feature fusion module, effectively capturing and analyzing the rich semantic nuances embedded in employee-generated social media content. This approach allows for the extraction and synthesis of key sentiment indicators, facilitating a more granular analysis of how social media engagement influences innovation-related behaviors and outcomes. Findings reveal that the strategic use of social media within corporate environments can significantly enhance innovation performance by providing a fertile ground for knowledge sharing, collaborative engagement, and the nurturing of a culture conducive to innovation. The proposed multimodal data fusion technique demonstrates superior accuracy in sentiment analysis, surpassing traditional unimodal approaches by significant margins. These insights contribute to the academic discourse on technology management and knowledge economy and offer practical implications for organizations aiming to harness social media’s potential in augmenting their innovation ecosystem.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"28 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141518550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging Big Data for SME Credit Risk Assessment: A Novel BP-KMV and GARCH Integration","authors":"Shiyun Li","doi":"10.1007/s13132-024-01995-w","DOIUrl":"https://doi.org/10.1007/s13132-024-01995-w","url":null,"abstract":"<p>This study addresses the critical limitations in existing credit risk assessment models for unlisted technology small and medium enterprises (SMEs), which are crucial drivers of innovation and economic growth yet often hindered by traditional financing models' inadequacies. Recognizing the pivotal role of advanced analytical techniques in navigating these challenges, we propose an optimized early warning system, integrating the BP-KMV model with the GARCH (1,1) model and the Ordinary Least Squares (OLS) method. This innovative approach adapts to the volatility of technology ventures and incorporates alternative data sources, such as intellectual property and R&amp;D expenditures, offering a holistic view of an SME’s creditworthiness. Empirical validation on data from 525 listed and 150 unlisted technology SMEs demonstrates the model’s superior predictive accuracy and early warning capabilities compared to traditional methodologies. Our findings reveal a nuanced understanding of credit risk in the technology sector, emphasizing the importance of dynamic, data-driven models in aligning financial support with innovative enterprises’ growth trajectories. This research contributes to the knowledge economy by highlighting the synergies between technological advancements and financial innovation, paving the way for more informed decision-making by governments and banks to foster a thriving ecosystem for technology-driven SMEs.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"73 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141257391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advanced Machine Learning for Financial Markets: A PCA-GRU-LSTM Approach","authors":"Bingchun Liu, Mingzhao Lai","doi":"10.1007/s13132-024-02108-3","DOIUrl":"https://doi.org/10.1007/s13132-024-02108-3","url":null,"abstract":"<p>This study pioneers the integration of environmental data with financial indicators to forecast stock prices, employing a novel PCA-GRU-LSTM model. By analyzing the Shanghai Composite (SSEC) index alongside six key air pollutants, we illuminate the significant role of environmental factors in financial forecasting. The PCA-GRU-LSTM model, which combines principal component analysis (PCA), gated recurrent units (GRU), and long short-term memory (LSTM) networks, demonstrates superior predictive accuracy by leveraging both financial and environmental datasets. Our findings indicate that incorporating environmental indicators enriches the model’s data set and significantly enhances forecasting precision, especially when adjusted for seasonal variations. This study’s results underscore the potential for more sustainable investment strategies, emphasizing the interconnectedness of environmental and financial systems. By offering insights into the dynamic interactions between environmental variables and stock market fluctuations, this research contributes to the burgeoning field of sustainable finance, urging the inclusion of environmental considerations in financial decision-making processes. The PCA-GRU-LSTM model’s success highlights the importance of leveraging advanced machine learning techniques to capture the complex, multifaceted nature of stock price movements, offering a promising avenue for future research in the knowledge economy’s intersection of technology, innovation, and society.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"13 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141188208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative Safety Moderation Among Workplace Environment, Workplace Health, and Employee Sustainable Performance: A Holistic Approach for SMEs","authors":"Ghulam Abbas, Ida Md Yasin, Sazali Abdul Wahab, Ahmad Qammar","doi":"10.1007/s13132-024-01923-y","DOIUrl":"https://doi.org/10.1007/s13132-024-01923-y","url":null,"abstract":"<p>The article identifies the current progression and research gaps in human resource management literature. It offers a framework for future innovative and green practices in meeting employee sustainable performance requirements for small and medium enterprises. Employee sustainable performance is crucial for small and medium enterprises to achieve sustainable development and market share for continuous growth. Hence, this article aims to adjust the triple bottom line (economic, environmental, social) sustainability concept to the quintuple bottom line (economic, environmental, social, physical, and psychological) in the context of employee that leads towards employee sustainable performance. Employee sustainable performance is based on the quintuple bottom line theoretical perspective, where innovative safety technological adoption intervenes among workplace environment, workplace health (physical, psychological), and employee sustainable performance. The article utilizes theories like self-determination, sustainable management, and conservation of resources theories to adjust the quintuple bottom line-employee sustainable performance model from a holistic angle. The outcome shows the quintuple bottom line coexistence inside the relationship of the selected constructs that hold the potential of innovation on employee sustainable performance holistically. The study configures a conceptual model for entrepreneurs and policymakers to ensure employee sustainable performance in small and medium enterprises. The article encourages and supports testing the proposed model. The conceptualization is a unique attempt to extend the current understanding of innovative safety adoption-focused on employee sustainable performance to enhance the sustainable growth process of small and medium enterprises from a holistic angle.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"42 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141188120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Mining Technology of Country’s Digital Development Level Assessing for Economic Development and Sustainable Growth: Multivariate Adaptive Regression Spline","authors":"Lyeonov Serhiy, Yuriy Bilan, Koibichuk Vitaliia, Malyarets Lyudmyla, Ashfaq Ahmad, Carmen Gabriela Secară","doi":"10.1007/s13132-024-01958-1","DOIUrl":"https://doi.org/10.1007/s13132-024-01958-1","url":null,"abstract":"<p>The article deals with an optimal multivariate adaptive regression spline that describes the dependence of the countries’ digital development on the national cyber security index and accessible business. It is based on predictive methods of intelligent data analysis. The objects of the study are 103 countries. The statistical data of the investigated indicators of these countries were used for 2021 according to the reports of the e-Governance Academy and the World Bank Doing Business Group. The originality of the research lies in the multivariate adaptive regression spline of countries’ digital development level developed by the authors. The research is implemented within the scope of execution of four stages. A multiple regression model was developed to compare the results of the classical regression model and the results obtained by the MARS model, characterizing the influence of the national cyber security index and ease of doing business on digital development. Its development was implemented in the third stage. Both independent variables positively and directly affect the dependent indicator. At the same time, the influence of the “ease of doing business” index is four times greater than the national cyber security index, caused by the mass use of digital technologies in all business areas and the digital economy, and that is a stimulating factor of economic development. The absence of multicollinearity in the predictor variables was proven using the variance inflation factor test, and the statistical significance of the model — using the Student’s test, coefficient of determination, standard error of estimate, mean absolute error, Fisher’s test, and ANOVA. The MARS model was developed using the Salford Predictive Modeler software. The quality of the model is based on the generalized cross-validation criterion. The obtained results made it possible to comprehensively determine the influence of the cyber security national index and ease of doing business on the country’s digital development under study and can be used by analytical departments of socio-economic objects (banks, financial institutions), national cyber police bodies, national cyber security coordination centers for economic development and sustainable growth.</p>","PeriodicalId":47435,"journal":{"name":"Journal of the Knowledge Economy","volume":"28 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141169380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}