IT ProfessionalPub Date : 2024-05-01DOI: 10.1109/mitp.2024.3388189
{"title":"IEEE Computer Society - Call for Papers","authors":"","doi":"10.1109/mitp.2024.3388189","DOIUrl":"https://doi.org/10.1109/mitp.2024.3388189","url":null,"abstract":"","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"9 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140833494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IT ProfessionalPub Date : 2024-05-01DOI: 10.1109/mitp.2024.3374129
Mercedes Ruiz, Elena Orta, Javier Gutiérrez
{"title":"A Gamification Method for Improving the Onboarding Process of Software Engineers","authors":"Mercedes Ruiz, Elena Orta, Javier Gutiérrez","doi":"10.1109/mitp.2024.3374129","DOIUrl":"https://doi.org/10.1109/mitp.2024.3374129","url":null,"abstract":"In software engineering, the onboarding process of new software engineers is crucial. The primary goal of this process is to ensure that professionals gain the necessary knowledge and skills to comprehend the company’s culture, integrate into the organization, and perform their activities effectively. Enhancing corporate learning processes and addressing human aspects, such as motivation, engagement, and commitment, are among the key factors influencing the success of the onboarding process. Gamification—the use of game elements in nongame contexts—has been widely employed in different contexts to promote positive changes in people’s behavior and increase their engagement and performance. We consider the integration of gamification into the onboarding process an interesting field of study and research. In this work, we propose a novel method for gamifying the onboarding process and introduce an application case within an organizational context.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"89 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140833548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IT ProfessionalPub Date : 2024-05-01DOI: 10.1109/mitp.2024.3390191
{"title":"IEEE Computer Society Volunteer Service Awards","authors":"","doi":"10.1109/mitp.2024.3390191","DOIUrl":"https://doi.org/10.1109/mitp.2024.3390191","url":null,"abstract":"","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"17 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140833492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IT ProfessionalPub Date : 2024-05-01DOI: 10.1109/mitp.2024.3375570
Stephen J. Andriole
{"title":"Who’s Doing the Work? What C-Suites Should Know About Sourcing","authors":"Stephen J. Andriole","doi":"10.1109/mitp.2024.3375570","DOIUrl":"https://doi.org/10.1109/mitp.2024.3375570","url":null,"abstract":"Alternative sourcing models include insourcing, cosourcing, and outsourcing. Every C-Suite on the planet should understand the strengths, weaknesses, and appropriateness of each model. The major distinction is “brains” versus “brawn” where decisions must be made about what can be insourced, cosourced, and outsourced. The rule of thumb is to keep brains in house and leave the brawn to outsources, to keep strategy, innovation, and AI inhouse, and outsource operational requirements.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"57 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140833608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IT ProfessionalPub Date : 2024-05-01DOI: 10.1109/mitp.2024.3374096
Priyanka Rani, Abhijit Kumar Nag, Rifat Shahriyar
{"title":"A Data-Driven Classification Framework for Cybersecurity Breaches","authors":"Priyanka Rani, Abhijit Kumar Nag, Rifat Shahriyar","doi":"10.1109/mitp.2024.3374096","DOIUrl":"https://doi.org/10.1109/mitp.2024.3374096","url":null,"abstract":"Unauthorized access to sensitive or confidential data results in a data breach, which can cause significant harm to an organization. Reporting breaches and reviewing prior records can help reduce damages. To aid in preparation, antivirus and security companies have published data breach reports, but they can be difficult to comprehend and require substantial effort to study. This article proposes a data breach incident classification framework using machine learning algorithms (naive Bayes, logistic regression, support vector machine, and random forest) on a dataset from the Privacy Rights Clearinghouse. The framework’s performance is evaluated using various metrics, including accuracy, F1 score, and confusion matrix. The article also employs topic modeling with latent Dirichlet allocation to enhance the classification’s accuracy.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"32 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140833544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IT ProfessionalPub Date : 2024-05-01DOI: 10.1109/mitp.2024.3375569
Nir Kshetri
{"title":"Navigating the Landscape of Generative AI: Investment Trends, Industry Growth, and Economic Effects","authors":"Nir Kshetri","doi":"10.1109/mitp.2024.3375569","DOIUrl":"https://doi.org/10.1109/mitp.2024.3375569","url":null,"abstract":"This article examines investment trends and industry development in generative AI (GAI) while also evaluating its economic impact on diverse sectors and economies. It analyzes global variations across regions to provide comprehensive insights into the landscape of GAI adoption.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"64 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140834102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}