{"title":"Managing the Energy-Saving of College Students: Based on an Analysis of Comprehensive Information of the Energy-Saving Behaviors","authors":"Xia Wang, Boqiang Lin","doi":"10.4018/jgim.339238","DOIUrl":"https://doi.org/10.4018/jgim.339238","url":null,"abstract":"Gaining a comprehensive understanding of the energy-saving behaviors (ESB) of college students, who represent the backbone of the future society, is imperative for advancing energy conservation initiatives. This paper employs a PLS-SEM model with 2786 valid responses to investigate the determinants of college students' ESB within the comprehensive action determination model (CADM). The results show that (1) the applicability of CADM, including the theory of planned behavior, norm activation model, and ipsative theory of behavior, was confirmed in the context of college students' ESB. (2) The cultivation of energy-saving habits significantly contributes to the promotion of ESB. (3) The availability of energy-saving access has a positive impact on ESB. (4) Media's energy-saving promotional activities positively influence the energy-saving intention. (5) Energy-saving policy incentives exert a positive moderating influence on the transition from energy-saving intentions to ESB. Based on these empirical findings, this paper provides specific and target policy recommendations.","PeriodicalId":125156,"journal":{"name":"J. Glob. Inf. Manag.","volume":"52 11","pages":"1-33"},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140431182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Prediction Model for Electric Vehicle Sales Using Machine Learning Approaches","authors":"Jen-Yin Yeh, Yu-Ting Wang","doi":"10.4018/jgim.327277","DOIUrl":"https://doi.org/10.4018/jgim.327277","url":null,"abstract":"The electric vehicle (EV) market is booming, but EV market trends vary by region. This study draws on the environmental, economic, and human development factors of 31 countries to predict sales of EVs. Based on machine learning (ML) algorithms and the PLS method, the authors constructed an EV sales performance prediction model and carried out the experiments. The experimental results demonstrate that ML algorithms can effectively achieve the desired accuracy and predictive performance levels. At the same time, this study investigates the relationship between quality training indicators and EV sales. CO2 emissions, PM2.5, consumer price index (CPI), renewable energy, and life expectancy are found to be significantly positive related to EV sales. The proposed model can be used globally by governments as a decision support tool to impose policies encouraging the adoption of EVs and develop sustainable strategies.","PeriodicalId":125156,"journal":{"name":"J. Glob. Inf. Manag.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133555125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Enterprise Digital Agility Based on Machine Learning: An Evaluation of Green Financial Technology","authors":"Y. Zhang, Hong Chen, K. Ju","doi":"10.4018/jgim.327006","DOIUrl":"https://doi.org/10.4018/jgim.327006","url":null,"abstract":"To help enterprises quickly adapt to the environment of green finance, a technology innovation performance prediction method based on machine learning is proposed to improve digital convenience. Firstly, by analyzing scientific and technological innovation, the authors design four characteristics: the number of theses, the quantity and quality of projects, the level of technology transformation, and the value of commercialization. Then, according to the above features, a feature processing method based on improved attention mechanism is proposed to deeply explore the internal relationship between the four features. Finally, a performance evaluation method is used based on the temporal convolution network (TCN) that can predict the performance of scientific and technological innovation by inputting enhanced features. The experiment demonstrates that the proposed method can reach 0.846, 0.869, and 0.851 in terms of the precision, recall, and H value, respectively, which can help enterprises predict the performance and improve the electronic convenience of enterprises.","PeriodicalId":125156,"journal":{"name":"J. Glob. Inf. Manag.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130243576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jie Chu, Shiyan Tan, Junyi Lin, Jimmy Hing Tai Chan, L. Lee, L. J. Zheng
{"title":"Optimizing Fresh Agricultural Product Distribution Paths Under Demand Uncertainty: A Particle Swarm Optimization-Based Algorithm","authors":"Jie Chu, Shiyan Tan, Junyi Lin, Jimmy Hing Tai Chan, L. Lee, L. J. Zheng","doi":"10.4018/jgim.326557","DOIUrl":"https://doi.org/10.4018/jgim.326557","url":null,"abstract":"Consumers' demand for fresh agricultural products (FAPs) and their quality requirements are increasing in the current agricultural-product consumption market. FAPs' unique perishability and short shelf-life features mean a high level of delivery efficiency is required to ensure their freshness and quality. However, consumers' demand for FAPs is contingent and geographically dispersed. Therefore, the conflicting relationship between the costs associated with the logistics distribution and the level of delivery quality is important to consider. In this paper, the authors consider a fresh agricultural-product distribution path planning problem with time windows (FAPDPPPTW). To address the FAPDPPPTW under demand uncertainty, a mixed-integer linear programming model based on robust optimization is proposed. Moreover, a particle swarm optimization algorithm combined with a variable neighborhood search is designed to solve the proposed mathematical model. The numerical experiment results show the robustness and fast convergence of the algorithm.","PeriodicalId":125156,"journal":{"name":"J. Glob. Inf. Manag.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132366712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Jayawardena, Kavita Chavali, N. Dewasiri, Charitha Harshani Perera, Isuru Koswatte, V. Pereira, Manish Gupta, A. Mardani
{"title":"Exploring the Challenges in Developing and Managing Digital Agility Among Sri Lankan Family Business Owners During the Economic Crisis Situation","authors":"N. Jayawardena, Kavita Chavali, N. Dewasiri, Charitha Harshani Perera, Isuru Koswatte, V. Pereira, Manish Gupta, A. Mardani","doi":"10.4018/jgim.326763","DOIUrl":"https://doi.org/10.4018/jgim.326763","url":null,"abstract":"The purpose of this qualitative study is to explore the ongoing post-pandemic challenges in developing and managing digital agility among Sri Lankan family business owners. This study used a mono-method qualitative approach to identify the management strategies using the self-determination theory and social exchange theory to cope with digital agility among Sri Lankan family business owners. Authors interviewed 25 family business owners in Sri Lanka and assessed the findings using the NVivo software. A total of five thematic findings have been identified as challenges in developing and managing digital agility among Sri Lankan Family Business owners. According to this study, digital capability plays a significant role in supporting top management to apply ambidextrous leadership during turbulent times. Findings contributes to the family business owners in Sri Lanka to identify proper strategies in overcoming the challenges associated with developing and managing digital agility of family business firms.","PeriodicalId":125156,"journal":{"name":"J. Glob. Inf. Manag.","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127197295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Chauhan, Y. Gajpal, Bindu Bhardwaj, Poonam Kumar, Sandeep Goyal, Xiankai Yang, A. Bhardwaj
{"title":"Examining Consumers' Behavioral Intentions Towards Online Home Services Applications","authors":"S. Chauhan, Y. Gajpal, Bindu Bhardwaj, Poonam Kumar, Sandeep Goyal, Xiankai Yang, A. Bhardwaj","doi":"10.4018/jgim.326547","DOIUrl":"https://doi.org/10.4018/jgim.326547","url":null,"abstract":"On-demand home service application (HSA) is a technological advancement that has brought various day-to-day services to our doorstep with just a few clicks. By using consumer-perceived values (utilitarian, hedonic, and social), trust transfer theory, and commitment-trust theory, the present study aims to investigate the factors influencing sharing intention and repurchase intention of consumers towards using HSAs on their mobile phones. This study involves collecting data from 357 respondents in India and analyzing the same using the SmartPLS 3 software. The results indicate that trust in HSA is influenced by utilitarian value and social value, but not by hedonic value. Trust in HSA results in repurchase intention, commitment, and sharing intention. Interestingly, trust in the user community affects sharing intention but not repurchase intention and commitment. The study integrates the consumer-perceived value, trust transfer theory, and commitment-trust theory to build an integrative framework that explains the consumers' sharing and repurchase intentions towards HSAs.","PeriodicalId":125156,"journal":{"name":"J. Glob. Inf. Manag.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114278692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigation of Essential Skills for Data Analysts: An Analysis Based on LinkedIn","authors":"Jin Zhang, Taowen Le, Jianyao Chen","doi":"10.4018/jgim.326548","DOIUrl":"https://doi.org/10.4018/jgim.326548","url":null,"abstract":"As the data-analysts job market grows, many colleges and universities have started offering a data analytics curriculum. However, there are potential gaps between the skills business organizations expect of data analysts and the skills universities and colleges teach their students. This study collected 2500+ data-analyst job ads posted on LinkedIn and analyzed them using distribution analysis, cross-tabulation analysis, and cluster analysis. Among many findings, this study identified five most essential nontechnical skills and five most essentials areas of technical skills. In addition, of 90+ computer programs business organizations expect data analysts to use, this study identified SQL, Microsoft Excel, Tableau, Python, and Microsoft Power BI to be the five most essential computer programs for potential data analysts to master.","PeriodicalId":125156,"journal":{"name":"J. Glob. Inf. Manag.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127634085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Brazo, F. Velicia-Martín, P. Palos-Sánchez, Ricardo Gouveia Rodrigues
{"title":"The Effect of Coercive Digitization on Organizational Performance: How Information Resource Management Consulting Can Play a Supporting Role","authors":"P. Brazo, F. Velicia-Martín, P. Palos-Sánchez, Ricardo Gouveia Rodrigues","doi":"10.4018/jgim.326282","DOIUrl":"https://doi.org/10.4018/jgim.326282","url":null,"abstract":"This article investigates the influence of institutional pressure on digitalization and performance, exploring the role of consulting companies in their relationships. The study is based on empirical findings administered to 600 firms using PLS-SEM and FIMIX. The theoretical framework presented in this study focused on the role that consulting companies play in the transfer of digitalization. The results indicate that IP can be an effective tool to strengthen digitalization and, in addition, business performance. This outcome is reinforced when consulting services channel this process. Evidence from this study would help managers formulate strategies accordingly for third parties. It also supports public administrations on the appropriateness of imposed digitalization public policies.","PeriodicalId":125156,"journal":{"name":"J. Glob. Inf. Manag.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130692627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Empirical Study on the Application of Blockchain Technology in E-Agriculture: An Innovative Service UIS Application System","authors":"Chia-Huei Wu","doi":"10.4018/jgim.326128","DOIUrl":"https://doi.org/10.4018/jgim.326128","url":null,"abstract":"At present, the application of blockchain is still at the level of private chain, lacking of systematicness and comprehensiveness, neglecting the participation process of multi-agent stakeholders, and the overall application system is not clear. This paper aims at applying the blockchain technology to the field of e-agriculture, building the hierarchical theoretical framework of e-agriculture, and revealing the impact of blockchain on e-agriculture. Through dividing the hierarchy, this paper finally structures an innovative service UIS application system for e-agriculture using blockchain technology. The main conclusions are as follows: (1) the first step is to solve social problems; (2) economic tasks are influenced by social problems and focus on smart contracts; (3) sustainable improvement of environmental problems requires a balance between economic and social dimensions; (4) application system is constructed at the three levels of unity, information, and supply chain.","PeriodicalId":125156,"journal":{"name":"J. Glob. Inf. Manag.","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126801316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Presidential Attack Risk: The Impact of Trump's Tweets on Financial Markets","authors":"Renee Rui Chen, Xiao Xiao, Kun Chen, Jifan Ren","doi":"10.4018/jgim.325505","DOIUrl":"https://doi.org/10.4018/jgim.325505","url":null,"abstract":"The prevalence of social media has inspired multiple researchers to investigate the value of information on various platforms. However, most studies focus on integrating individual views (the wisdom of the crowd), and few studies investigate just one person's effect. To close this gap, this article investigates the impact of Trump's tweets on stock markets. Based on intraday stock market data, this study uses an event study to test the immediate reaction of the stock markets in both the Chinese and U.S. markets. Next, with ordinary least squares (OLS) regression, this study testes the effect of tweets' content features on the returns and volatility of the Chinese and U.S. indices. The results show that Trump's tweets impacted the financial market, especially the returns of the U.S. stock market during the COVID-19 pandemic. With additional analyses based on industry indices and time frequencies, the researchers found that Trump's sentiment on Twitter affected the Chinese financial industry during the trade war and impacted the Chinese pharmaceutical industry during the pandemic.","PeriodicalId":125156,"journal":{"name":"J. Glob. Inf. Manag.","volume":"12 22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123721532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}