Digital transformation in supply chain management has garnered significant attention from both industry and academia. Numerous studies have focused on the emerging concept of digital supply chain management (DSCM). In this research, the authors present a background and context of DSCM. Furthermore, they conduct a systematic bibliometric analysis encompassing a dataset of 1053 scholarly papers published from 1995 to 2021. During the literature review, various methods including network analysis, document co-citation analysis, author co-citation analysis, and journal co-citation analysis are employed. The results of the study provide an overview of the concept of DSCM and highlight key authors, affiliations, and countries in the field. Additionally, the study examines emerging research topics, including blockchain technology, digital twin, and circular economy, within the context of DSCM. Finally, limitations and potential direction for future studies are noted. The authors hope this research could provide a basic understanding of DSCM for industries and academics.
{"title":"Digital Supply Chain Management","authors":"Haowei Zhang, Yang Lv, Su Zhang, Y. Liu","doi":"10.4018/jgim.336285","DOIUrl":"https://doi.org/10.4018/jgim.336285","url":null,"abstract":"Digital transformation in supply chain management has garnered significant attention from both industry and academia. Numerous studies have focused on the emerging concept of digital supply chain management (DSCM). In this research, the authors present a background and context of DSCM. Furthermore, they conduct a systematic bibliometric analysis encompassing a dataset of 1053 scholarly papers published from 1995 to 2021. During the literature review, various methods including network analysis, document co-citation analysis, author co-citation analysis, and journal co-citation analysis are employed. The results of the study provide an overview of the concept of DSCM and highlight key authors, affiliations, and countries in the field. Additionally, the study examines emerging research topics, including blockchain technology, digital twin, and circular economy, within the context of DSCM. Finally, limitations and potential direction for future studies are noted. The authors hope this research could provide a basic understanding of DSCM for industries and academics.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"4 7","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139439592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to identify emerging topics, themes, and potential areas for applying large language models (LLMs) in supply chain management through data triangulation. This study involved the synthesis of 33 published articles and a total of 3421 social media documents, including tweets, posts, expert opinions, and industry reports on utilizing LLMs in supply chain management. By employing BERT models, four core themes were derived: Supply chain optimization, supply chain risk and security management, supply chain knowledge management, and automated contract intelligence, which provides the present status of LLM in the supply chain. The results of this study will empower managers to identify prospective applications and areas for improvement, affording them a comprehensive understanding of the antecedents, decisions, and outcomes detailed in the framework. The insights garnered from this study are highly valuable to both researchers and managers, equipping them to harness the latest advancements in LLM technology and its role within supply chain management.
{"title":"Exploring the Potential of Large Language Models in Supply Chain Management","authors":"Santosh Kumar Srivastava, Susmi Routray, Surajit Bag, Shivam Gupta, J. Zhang","doi":"10.4018/jgim.335125","DOIUrl":"https://doi.org/10.4018/jgim.335125","url":null,"abstract":"This study aims to identify emerging topics, themes, and potential areas for applying large language models (LLMs) in supply chain management through data triangulation. This study involved the synthesis of 33 published articles and a total of 3421 social media documents, including tweets, posts, expert opinions, and industry reports on utilizing LLMs in supply chain management. By employing BERT models, four core themes were derived: Supply chain optimization, supply chain risk and security management, supply chain knowledge management, and automated contract intelligence, which provides the present status of LLM in the supply chain. The results of this study will empower managers to identify prospective applications and areas for improvement, affording them a comprehensive understanding of the antecedents, decisions, and outcomes detailed in the framework. The insights garnered from this study are highly valuable to both researchers and managers, equipping them to harness the latest advancements in LLM technology and its role within supply chain management.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"34 12","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139441505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hsiang-Lan Cheng, Chiew Mei Tan, Chao-Min Chiu, Hsin-Yi Huang, Yi-Chien Lee
The study explores the effects of COVID-19 vaccine fake news on social media from the perspective of the elaboration likelihood model (ELM). The research model theorizes that factors of the central route and factors of the peripheral route influence panic vaccination intention through the third-person effect of fake news, personal norm, and the individual's attitude toward panic vaccination (i.e., the vaccination equivalent of “panic buying”). Data were collected via an online survey with 409 valid responses. The study applies partial least squares (PLS) structural equation modeling (SEM) to test the hypotheses. The findings have theoretical and practical implications and provide insights to help reduce the spread of fake news on social media during an outbreak to better ensure that people are not misled by fake news.
{"title":"Using the ELM to Explore the Impact of Fake News on Panic Vaccination Intention","authors":"Hsiang-Lan Cheng, Chiew Mei Tan, Chao-Min Chiu, Hsin-Yi Huang, Yi-Chien Lee","doi":"10.4018/jgim.335487","DOIUrl":"https://doi.org/10.4018/jgim.335487","url":null,"abstract":"The study explores the effects of COVID-19 vaccine fake news on social media from the perspective of the elaboration likelihood model (ELM). The research model theorizes that factors of the central route and factors of the peripheral route influence panic vaccination intention through the third-person effect of fake news, personal norm, and the individual's attitude toward panic vaccination (i.e., the vaccination equivalent of “panic buying”). Data were collected via an online survey with 409 valid responses. The study applies partial least squares (PLS) structural equation modeling (SEM) to test the hypotheses. The findings have theoretical and practical implications and provide insights to help reduce the spread of fake news on social media during an outbreak to better ensure that people are not misled by fake news.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"64 51","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139449150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
China has committed to achieving carbon neutrality by 2060, primarily focusing on reducing carbon intensity. Understanding the regional embodied carbon emissions is critical for managing carbon efficiency and carbon equity in this process. Using the input-output and SBM-DEA models, this article first calculates China's regional embodied carbon emissions. The results reveal substantial carbon transfers between China's different regions. Therefore, designing reduction pathways solely based on production-based carbon emissions raises fairness concerns. To address this, this article employs the SBM-DEA model to calculate the regional reduction potential and marginal abatement costs using the regional embodied carbon emissions and optimize China's pathways of regional carbon emission reduction. The new pathways consider consumption-based reduction potential, marginal abatement cost, and reduction equity, and are all in line with China's carbon reduction target. These schemes are of practical significance for China to develop a more efficient and equitable regional emission reduction plan.
{"title":"Managing Carbon Efficiency and Carbon Equity","authors":"Chong Wang, Boqiang Lin","doi":"10.4018/jgim.334360","DOIUrl":"https://doi.org/10.4018/jgim.334360","url":null,"abstract":"China has committed to achieving carbon neutrality by 2060, primarily focusing on reducing carbon intensity. Understanding the regional embodied carbon emissions is critical for managing carbon efficiency and carbon equity in this process. Using the input-output and SBM-DEA models, this article first calculates China's regional embodied carbon emissions. The results reveal substantial carbon transfers between China's different regions. Therefore, designing reduction pathways solely based on production-based carbon emissions raises fairness concerns. To address this, this article employs the SBM-DEA model to calculate the regional reduction potential and marginal abatement costs using the regional embodied carbon emissions and optimize China's pathways of regional carbon emission reduction. The new pathways consider consumption-based reduction potential, marginal abatement cost, and reduction equity, and are all in line with China's carbon reduction target. These schemes are of practical significance for China to develop a more efficient and equitable regional emission reduction plan.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"18 14","pages":""},"PeriodicalIF":4.7,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138601834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Victor Chang, Vincent Andrew Kozah, Qi Xu, Yujie Shi, X. Chen, Jonathan Mills
The authors adopt the resource-based view (RBV) and information processing theory to discover the problems that impact the capital structure of financial institutions in the UK. Five firm-level explanatory variables (profitability, size, tangibility, age, and growth) were selected. The relevant capital structure measure was then regressed against the dependent variable leverage (debt-to-equity ratio). Consequently, correlation and multivariate regressions are applied to firm financial data from the selected financial institutions during the fiscal years 2011–2022. The primary conclusions of the study indicate that important information resources management variables for financial institutions in the UK are profitability and size. While the two other factors, profitability and growth, exhibit negative associations with capital structure, the remaining four variables, tangibility, size, age, and profitability, did not. The study reveals that optimal determinants of information resources management enhance financial performance in the case of top UK banks.
{"title":"The Effect of Information Resources Management in the UK on Financial Institutions","authors":"Victor Chang, Vincent Andrew Kozah, Qi Xu, Yujie Shi, X. Chen, Jonathan Mills","doi":"10.4018/jgim.334015","DOIUrl":"https://doi.org/10.4018/jgim.334015","url":null,"abstract":"The authors adopt the resource-based view (RBV) and information processing theory to discover the problems that impact the capital structure of financial institutions in the UK. Five firm-level explanatory variables (profitability, size, tangibility, age, and growth) were selected. The relevant capital structure measure was then regressed against the dependent variable leverage (debt-to-equity ratio). Consequently, correlation and multivariate regressions are applied to firm financial data from the selected financial institutions during the fiscal years 2011–2022. The primary conclusions of the study indicate that important information resources management variables for financial institutions in the UK are profitability and size. While the two other factors, profitability and growth, exhibit negative associations with capital structure, the remaining four variables, tangibility, size, age, and profitability, did not. The study reveals that optimal determinants of information resources management enhance financial performance in the case of top UK banks.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"1 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139247518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Cheng, Soyeon Choi, Rhea Sharmayne Y. Legaspi, Jiunn-Woei Lian
The purpose of this study is to employ a novel mixed method to better understand the differences in the customer service experience of the digital banking services in South Korea and the Philippines. Data mining techniques and customer journey mapping analysis were utilized to understand the proposed issues. The results indicate that there are four critical significant points of digital banking services between South Korea and the Philippines including the number of touchpoints, speed of results, registration requirements, and touchpoint deviations. Potential causes and implications are discussed in this article. The contribution of this study is using mixed approach to understand the issues which related to bank marketing in the digital era. Additionally, this study also enriches the investigations of customer service experience in banking across different countries. Overall, the findings of this study benefit the development of digital banking services, especially in the Asia Pacific countries.
{"title":"Using Mixed Method to Understand Customer Experience With Digital Banking Services","authors":"L. Cheng, Soyeon Choi, Rhea Sharmayne Y. Legaspi, Jiunn-Woei Lian","doi":"10.4018/jgim.333855","DOIUrl":"https://doi.org/10.4018/jgim.333855","url":null,"abstract":"The purpose of this study is to employ a novel mixed method to better understand the differences in the customer service experience of the digital banking services in South Korea and the Philippines. Data mining techniques and customer journey mapping analysis were utilized to understand the proposed issues. The results indicate that there are four critical significant points of digital banking services between South Korea and the Philippines including the number of touchpoints, speed of results, registration requirements, and touchpoint deviations. Potential causes and implications are discussed in this article. The contribution of this study is using mixed approach to understand the issues which related to bank marketing in the digital era. Additionally, this study also enriches the investigations of customer service experience in banking across different countries. Overall, the findings of this study benefit the development of digital banking services, especially in the Asia Pacific countries.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"28 3","pages":""},"PeriodicalIF":4.7,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Samuel Fosso Wamba, Cameron Guthrie, Maciel M. Queiroz, Hossana Twinomurinzi
In light of the controversies surrounding COVID-19 vaccines, this study explored vaccine adoption through a theoretical model, focusing on France (n=2001) and South Africa (n=1107). Analysis using structural equation modelling and hierarchical cluster analysis revealed that social influences, personal opinions on vaccines, perceived severity of the pandemic, and perceived benefits of vaccination were primary drivers of adoption in both countries. Belief in conspiracy theories and perceptions of social distancing and stay-at-home measures had no influence on acceptance. Trust significantly influenced adoption intentions only in South Africa. Cluster analysis revealed four distinct opinion groups—“enthusiasts,” “doubters,” “followers,” and “conspirationists”—each preferring different health information sources and technologies, with a common preference for traditional media over social media. These findings have implications for developing targeted health policies, communication, and trust-building strategies.
{"title":"Digital Technologies and COVID-19 Vaccine Acceptance","authors":"Samuel Fosso Wamba, Cameron Guthrie, Maciel M. Queiroz, Hossana Twinomurinzi","doi":"10.4018/jgim.333611","DOIUrl":"https://doi.org/10.4018/jgim.333611","url":null,"abstract":"In light of the controversies surrounding COVID-19 vaccines, this study explored vaccine adoption through a theoretical model, focusing on France (n=2001) and South Africa (n=1107). Analysis using structural equation modelling and hierarchical cluster analysis revealed that social influences, personal opinions on vaccines, perceived severity of the pandemic, and perceived benefits of vaccination were primary drivers of adoption in both countries. Belief in conspiracy theories and perceptions of social distancing and stay-at-home measures had no influence on acceptance. Trust significantly influenced adoption intentions only in South Africa. Cluster analysis revealed four distinct opinion groups—“enthusiasts,” “doubters,” “followers,” and “conspirationists”—each preferring different health information sources and technologies, with a common preference for traditional media over social media. These findings have implications for developing targeted health policies, communication, and trust-building strategies.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":" 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135192307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digital agility is a critical dynamic capability that is becoming increasingly important in the context of collaborative product development processes (PDPs). This paper aims to address the complexity of today's PDPs by considering various quality aspects including safety, environment, and the entire lifecycle, along with diverse dynamic capabilities such as digital agility and circular economy. The authors employed a semantic web methodology and created an ontology-based knowledge model. The proposed ontology uses Design for X techniques, circular economy, digital agility, and the semantic web under the PDP perspective to increase performance and cooperation between designers and the project team. To validate the ontology, measures for domain ontology evaluation have been used. The paper presents a detailed guide for ontology engineering and evaluation for collaborative smart PDP, which incorporates digital agility as a critical dynamic capability. The proposed ontology can help boost PDP performance and increase customer satisfaction.
数字敏捷性是一种关键的动态能力，在协作产品开发过程(pdp)的环境中变得越来越重要。本文旨在通过考虑各种质量方面，包括安全、环境和整个生命周期，以及各种动态能力，如数字敏捷性和循环经济，来解决当今pdp的复杂性。作者采用语义网方法，建立了一个基于本体的知识模型。提出的本体在PDP视角下使用Design for X技术、循环经济、数字敏捷性和语义web来提高设计人员和项目团队之间的性能和合作。为了验证本体，采用了领域本体评价的方法。本文详细介绍了协作式智能PDP的本体工程和评估指南，其中将数字敏捷性作为一种关键的动态能力。提出的本体有助于提高PDP性能并提高客户满意度。
{"title":"Smart Product Design Ontology Development for Managing Digital Agility","authors":"Abla Chaouni Benabdellah, Kamar Zekhnini, Surajit Bag, Shivam Gupta, Sarbjit Singh Oberoi","doi":"10.4018/jgim.333599","DOIUrl":"https://doi.org/10.4018/jgim.333599","url":null,"abstract":"Digital agility is a critical dynamic capability that is becoming increasingly important in the context of collaborative product development processes (PDPs). This paper aims to address the complexity of today's PDPs by considering various quality aspects including safety, environment, and the entire lifecycle, along with diverse dynamic capabilities such as digital agility and circular economy. The authors employed a semantic web methodology and created an ontology-based knowledge model. The proposed ontology uses Design for X techniques, circular economy, digital agility, and the semantic web under the PDP perspective to increase performance and cooperation between designers and the project team. To validate the ontology, measures for domain ontology evaluation have been used. The paper presents a detailed guide for ontology engineering and evaluation for collaborative smart PDP, which incorporates digital agility as a critical dynamic capability. The proposed ontology can help boost PDP performance and increase customer satisfaction.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":" 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135192055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yao Xiao, Ye Chen, Jinghua Tan, Javier Cifuentes-Faura
The acquisition of innovation performance through social network relationship resources is a common behavior pattern of organizational members. Recent social network research suggests that negative ties may also have a positive impact on organizational innovation compared with positive ties. Based on this, the paper investigates the impact of dissonant tie, which are a combination of problem-solving tie and difficult working tie, on organizational innovation. The empirical results show that dissonant tie promotes organizational innovation performance and are enhanced by digital sensing and digital seizing, while the increasing effect of the dissonant tie on organizational innovation performance is not verified under the moderating effect of digital reconfiguring. The findings are useful for understanding why certain negative ties may promote organizational innovation and performance, and to provide a theoretical basis for how manufacturing companies can use complex social network ties to survive organizational change and enhance organizational adaptability in digital transformation.
{"title":"The Impact of Dissonant Tie on Innovation Performance of Digital Transformation","authors":"Yao Xiao, Ye Chen, Jinghua Tan, Javier Cifuentes-Faura","doi":"10.4018/jgim.333613","DOIUrl":"https://doi.org/10.4018/jgim.333613","url":null,"abstract":"The acquisition of innovation performance through social network relationship resources is a common behavior pattern of organizational members. Recent social network research suggests that negative ties may also have a positive impact on organizational innovation compared with positive ties. Based on this, the paper investigates the impact of dissonant tie, which are a combination of problem-solving tie and difficult working tie, on organizational innovation. The empirical results show that dissonant tie promotes organizational innovation performance and are enhanced by digital sensing and digital seizing, while the increasing effect of the dissonant tie on organizational innovation performance is not verified under the moderating effect of digital reconfiguring. The findings are useful for understanding why certain negative ties may promote organizational innovation and performance, and to provide a theoretical basis for how manufacturing companies can use complex social network ties to survive organizational change and enhance organizational adaptability in digital transformation.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":" 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135340993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luo Yuan, Chang Su, Bo Fang, Yunfan Meng, Xinyang Wang, Wenyou Gao
Supply chain management is a key component of the Electronic-China Yuan (e-CNY) infrastructure and is crucial to developing and using e-CNY. This paper first provides an overview of the features of e-CNY and the idea of incorporating supply chain management into the creation of e-CNY software to better meet user payment requirements. This will help to reinforce the CNY's dominant position in the global monetary system. Meanwhile, this paper uses the fuzzy theory evaluation method to assess the software supply chain management informatization level. More broadly, this paper discusses the development level of digital enterprise supply chain management informatization to understand the current situation of e-CNY software supply chain management. The network's energy usage will increase when e-CNY software is developed. This research suggests a routing protocol based on the combination of chaotic particle swarm optimization (CPSO) and ant colony algorithm (ACA). It employs a new CPSO algorithm to optimize the cluster head selection.
{"title":"The Optimization of Digital Currency Electronic Payment in RMB Based on Big Data and Fuzzy Theory","authors":"Luo Yuan, Chang Su, Bo Fang, Yunfan Meng, Xinyang Wang, Wenyou Gao","doi":"10.4018/jgim.333607","DOIUrl":"https://doi.org/10.4018/jgim.333607","url":null,"abstract":"Supply chain management is a key component of the Electronic-China Yuan (e-CNY) infrastructure and is crucial to developing and using e-CNY. This paper first provides an overview of the features of e-CNY and the idea of incorporating supply chain management into the creation of e-CNY software to better meet user payment requirements. This will help to reinforce the CNY's dominant position in the global monetary system. Meanwhile, this paper uses the fuzzy theory evaluation method to assess the software supply chain management informatization level. More broadly, this paper discusses the development level of digital enterprise supply chain management informatization to understand the current situation of e-CNY software supply chain management. The network's energy usage will increase when e-CNY software is developed. This research suggests a routing protocol based on the combination of chaotic particle swarm optimization (CPSO) and ant colony algorithm (ACA). It employs a new CPSO algorithm to optimize the cluster head selection.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":" 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135340540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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