Pub Date : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739238
N. Paoloni, Martina Manzo
Women-led enterprises are characterized by structural and collateral limits that undermine access to credit, which is crucial for implementing technological innovation. Nevertheless, gender studies recognize a high female attitude to networking, representing a prolific source of new ideas. In this scenario, the present work aims to investigate (i) the role of Relational Capital (RC) in the innovation's creating process of innovative female start-ups and (ii) analyze the bond-type characterizing it. With this purpose, the present work uses an Exploratory Descriptive Qualitative methodology and applies the CAOS model (an Italian acronym for “Caratteristiche personali, Ambiente, Organizzazione, and Start-ups”) on a selected case study. Findings confirm the RC's vital contribution to the women-led enterprises' development, also as a driver of innovation and show the characteristics typical of the bonds involved. In the current literature, there is a gap about women role as drivers of new solutions; hence, the research can improve gender studies about innovation, particularly regarding women's start-ups. Furthermore, from a managerial point of view, it can help female SMEs identify which types of bonds can be strategically crucial for implementing innovative solutions.
妇女领导的企业的特点是结构和担保方面的限制，破坏了获得信贷的机会，而信贷对实施技术创新至关重要。然而，性别研究发现，女性对网络的态度较高，代表了新想法的丰富来源。在这种情况下，本研究旨在调查(i)关系资本(RC)在创新型女性初创企业的创新创造过程中的作用，(ii)分析其特征的bond-type。为此，本研究采用探索性描述性定性方法，并将CAOS模型(意大利语首字母缩写为“Caratteristiche personali, Ambiente, Organizzazione, and startups”)应用于选定的案例研究。研究结果证实，妇女关系基金对女性领导的企业的发展做出了重要贡献，同时也是创新的驱动力，并显示了所涉及的债券的典型特征。在目前的文献中，女性作为新解决方案驱动者的角色存在差距;因此，该研究可以改善关于创新的性别研究，特别是关于女性创业的研究。此外，从管理的角度来看，它可以帮助女性中小企业确定哪些类型的债券对实施创新解决方案具有战略重要性。
{"title":"The role of Relational Capital in innovative female start-ups","authors":"N. Paoloni, Martina Manzo","doi":"10.1109/ICTMOD52902.2021.9739238","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739238","url":null,"abstract":"Women-led enterprises are characterized by structural and collateral limits that undermine access to credit, which is crucial for implementing technological innovation. Nevertheless, gender studies recognize a high female attitude to networking, representing a prolific source of new ideas. In this scenario, the present work aims to investigate (i) the role of Relational Capital (RC) in the innovation's creating process of innovative female start-ups and (ii) analyze the bond-type characterizing it. With this purpose, the present work uses an Exploratory Descriptive Qualitative methodology and applies the CAOS model (an Italian acronym for “Caratteristiche personali, Ambiente, Organizzazione, and Start-ups”) on a selected case study. Findings confirm the RC's vital contribution to the women-led enterprises' development, also as a driver of innovation and show the characteristics typical of the bonds involved. In the current literature, there is a gap about women role as drivers of new solutions; hence, the research can improve gender studies about innovation, particularly regarding women's start-ups. Furthermore, from a managerial point of view, it can help female SMEs identify which types of bonds can be strategically crucial for implementing innovative solutions.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123137260","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}
Pub Date : 2021-11-24DOI: 10.1109/ictmod52902.2021.9750414
Gregory Ollivierre, Inzamam Rahaman, Patrick Hosein
Marine Seismic sources (i.e., Airguns) play an important role in geophysical prospecting at sea. They produce seismic waves that propagate into the earth's surface, whereby sensitive detectors collect the reflected data for analysis. The reflected signal can be thought of as a convolution of the seismic emitter(Airgun) and the earth response plus noise. As such a thorough understanding of this Airgun signature is critical to the eventual signal processing used towards a representative image of the subsurface from these detectors. Airguns are typically deployed in the field as arrays of clusters varying in volume capacity. Together these Airguns produce a signature with distinct geophysical characteristics that are required to extract meaningful information of the earth's subsurface. Metadata of from these individual Airgun Arrays is used to assess their performance since anomalous signals can significantly impact interpretations of the subsurface. Features can be extracted from an Airgun signature via a hydrophone within close proximity to the individual array. These labelled features were then used to design a model that classifies Airgun clusters by volume capacity on data known to be free of anomalies. By analyzing features from metadata with an unknown anomalous status with this model, accuracy metrics were used to assess the health and performance of individual Airguns.
{"title":"Anomaly Detection of Marine Seismic Airgun Signatures using Semi-Supervised Learning","authors":"Gregory Ollivierre, Inzamam Rahaman, Patrick Hosein","doi":"10.1109/ictmod52902.2021.9750414","DOIUrl":"https://doi.org/10.1109/ictmod52902.2021.9750414","url":null,"abstract":"Marine Seismic sources (i.e., Airguns) play an important role in geophysical prospecting at sea. They produce seismic waves that propagate into the earth's surface, whereby sensitive detectors collect the reflected data for analysis. The reflected signal can be thought of as a convolution of the seismic emitter(Airgun) and the earth response plus noise. As such a thorough understanding of this Airgun signature is critical to the eventual signal processing used towards a representative image of the subsurface from these detectors. Airguns are typically deployed in the field as arrays of clusters varying in volume capacity. Together these Airguns produce a signature with distinct geophysical characteristics that are required to extract meaningful information of the earth's subsurface. Metadata of from these individual Airgun Arrays is used to assess their performance since anomalous signals can significantly impact interpretations of the subsurface. Features can be extracted from an Airgun signature via a hydrophone within close proximity to the individual array. These labelled features were then used to design a model that classifies Airgun clusters by volume capacity on data known to be free of anomalies. By analyzing features from metadata with an unknown anomalous status with this model, accuracy metrics were used to assess the health and performance of individual Airguns.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123190874","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}
Pub Date : 2021-11-24DOI: 10.1109/ictmod52902.2021.9739454
G. D. Corte, F. Ricci, Giuseppe Modaffari, V. Scafarto
Motivated by the recent surge of interest in blockchain adoption across industries, this paper has theoretically examined the potential advantages and major barriers to blockchain adoption in the agri-food sector. Recent research and pilot studies suggest that blockchain may promote agri-food sustainability, however blockchain adoption is still in its infancy and further studies are needed to accurately assess the advantages and limitations of using lockchain-based technologies in the agri-food sector. We acknowledge the shortcomings of the present study due to its conceptual nature, but drawing on the existing theoretical and empirical literature, it may act as a springboard for future research directions.
{"title":"Blockchain as a strategic enabler of agri-food sustainability","authors":"G. D. Corte, F. Ricci, Giuseppe Modaffari, V. Scafarto","doi":"10.1109/ictmod52902.2021.9739454","DOIUrl":"https://doi.org/10.1109/ictmod52902.2021.9739454","url":null,"abstract":"Motivated by the recent surge of interest in blockchain adoption across industries, this paper has theoretically examined the potential advantages and major barriers to blockchain adoption in the agri-food sector. Recent research and pilot studies suggest that blockchain may promote agri-food sustainability, however blockchain adoption is still in its infancy and further studies are needed to accurately assess the advantages and limitations of using lockchain-based technologies in the agri-food sector. We acknowledge the shortcomings of the present study due to its conceptual nature, but drawing on the existing theoretical and empirical literature, it may act as a springboard for future research directions.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124165673","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}
Pub Date : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739372
Insaf Khelladi, Catherine Lejealle, S. Vessal, Sylvaine Castellano
Virtual clothes are the latest trend luxury brands are embracing as a way for them to take part in the global Non-Fungible Token (NFT) phenomenon. Such contactless clothes offer many benefits to their consumers to manage their dual (i.e., real-world and online) identities. Yet, this cutting-edge technology has not yet attracted scholars' interest. The present paper aims to unveil the psychological determinants of purchasing virtual clothes to post on social media. A study was conducted to investigate the motivational factors of purchasing NFT virtual clothes. Preliminary results show that while autonomy, praise and communication act as motivators influencing the purchase intention of digital clothes, attention-seeking and reputation act as inhibitors.
{"title":"Individuals' motivations to purchase virtual clothes","authors":"Insaf Khelladi, Catherine Lejealle, S. Vessal, Sylvaine Castellano","doi":"10.1109/ICTMOD52902.2021.9739372","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739372","url":null,"abstract":"Virtual clothes are the latest trend luxury brands are embracing as a way for them to take part in the global Non-Fungible Token (NFT) phenomenon. Such contactless clothes offer many benefits to their consumers to manage their dual (i.e., real-world and online) identities. Yet, this cutting-edge technology has not yet attracted scholars' interest. The present paper aims to unveil the psychological determinants of purchasing virtual clothes to post on social media. A study was conducted to investigate the motivational factors of purchasing NFT virtual clothes. Preliminary results show that while autonomy, praise and communication act as motivators influencing the purchase intention of digital clothes, attention-seeking and reputation act as inhibitors.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"AES-7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126510989","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}
Pub Date : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739422
Luis Madureira, Aleš Popovič, M. Castelli
For a discipline to prosper in business and science, it must be thoroughly defined, characterized, and measured. Notably, the definition must reflect its praxis. This study aims to fill this void by empirically validating the Competitive Intelligence unified view and modular definition proposed by Madureira, Popovic, and Castelli (2021). The choice for this specific definition relies on its recency, comprehensiveness, completeness, and universality. The study uses a mixed-methods approach to derive meta-inferences from the sequential integration of qualitative and quantitative methods. We tested content, external, discriminant validities, reliability, and applicability using an in-depth interview study with twenty global CI subject matter experts. The results empirically validate the unified view, the modular definition, the five core defining dimensions, and their respective descriptors. This study unfolds the impact of CI in management research across five key areas - practical, theoretical, educational, society, policy. The critical lever for this impact is the effectuation of the Body of Knowledge which subsequently effectuates the CI practice, education, and discipline, serving as the foundation for its future development in business and academia.
{"title":"Competitive Intelligence Empirical Construct Validation Using Expert In-Depth Interviews Study","authors":"Luis Madureira, Aleš Popovič, M. Castelli","doi":"10.1109/ICTMOD52902.2021.9739422","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739422","url":null,"abstract":"For a discipline to prosper in business and science, it must be thoroughly defined, characterized, and measured. Notably, the definition must reflect its praxis. This study aims to fill this void by empirically validating the Competitive Intelligence unified view and modular definition proposed by Madureira, Popovic, and Castelli (2021). The choice for this specific definition relies on its recency, comprehensiveness, completeness, and universality. The study uses a mixed-methods approach to derive meta-inferences from the sequential integration of qualitative and quantitative methods. We tested content, external, discriminant validities, reliability, and applicability using an in-depth interview study with twenty global CI subject matter experts. The results empirically validate the unified view, the modular definition, the five core defining dimensions, and their respective descriptors. This study unfolds the impact of CI in management research across five key areas - practical, theoretical, educational, society, policy. The critical lever for this impact is the effectuation of the Body of Knowledge which subsequently effectuates the CI practice, education, and discipline, serving as the foundation for its future development in business and academia.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121849567","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}
Pub Date : 2021-11-24DOI: 10.1109/ictmod52902.2021.9739285
Reginaldo Carreiro Santos, E.P. de Lima, Elias Ribeiro da Silva, S. E. Gouvea da Costa
Technology management is a prominent process, especially in manufacturing companies, because manufacturing technologies play a relevant role in the accomplishment of the corporate strategy. This paper deals with the technology selection process, aiming at proposing a decision procedure to support managers selecting appropriate manufacturing technologies, influenced by the digital transformation phenomenon. It is grounded on a Design Science Research strategy, focused on solving a real problem concerning technology management and selection. Its main theoretical implication is extending theory concerning the construction of multi-criteria decision models and the technology selection body of knowledge. The main managerial implication is the proposition of a practical artifact that can be used by manufacturing companies to support the decision-making process.
{"title":"A decision procedure for the selection and roadmapping of industry 4.0 technologies","authors":"Reginaldo Carreiro Santos, E.P. de Lima, Elias Ribeiro da Silva, S. E. Gouvea da Costa","doi":"10.1109/ictmod52902.2021.9739285","DOIUrl":"https://doi.org/10.1109/ictmod52902.2021.9739285","url":null,"abstract":"Technology management is a prominent process, especially in manufacturing companies, because manufacturing technologies play a relevant role in the accomplishment of the corporate strategy. This paper deals with the technology selection process, aiming at proposing a decision procedure to support managers selecting appropriate manufacturing technologies, influenced by the digital transformation phenomenon. It is grounded on a Design Science Research strategy, focused on solving a real problem concerning technology management and selection. Its main theoretical implication is extending theory concerning the construction of multi-criteria decision models and the technology selection body of knowledge. The main managerial implication is the proposition of a practical artifact that can be used by manufacturing companies to support the decision-making process.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134588782","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}
Pub Date : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739320
Daniela Di Berardino, M. De Nicola, U. Anees
This paper aims to explore the relationship among CSR activities, investment efficiency and sustainable value. The sample includes 119 Italian certified Benefit Corporations extracted from B-Lab database at August 2021. Adopting the OLS regression model, the analysis aims to verify what CSR strategies push the firm to invest more efficiently and if a good resource allocation could shift from the profit value to social value.
{"title":"CSR Strategies, Investment Efficiency and Sustainable Growth","authors":"Daniela Di Berardino, M. De Nicola, U. Anees","doi":"10.1109/ICTMOD52902.2021.9739320","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739320","url":null,"abstract":"This paper aims to explore the relationship among CSR activities, investment efficiency and sustainable value. The sample includes 119 Italian certified Benefit Corporations extracted from B-Lab database at August 2021. Adopting the OLS regression model, the analysis aims to verify what CSR strategies push the firm to invest more efficiently and if a good resource allocation could shift from the profit value to social value.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"54 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115995668","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}
Pub Date : 2021-11-24DOI: 10.1109/ictmod52902.2021.9739406
Abdelati Hakamoui, Nouha Berrada
This paper aims at discussing the dynamic interactions and complex relationships between competitive intelligence maturity, absorptive capacity as a knowledge management process, to enhance a firm's competitive advantage. Competitive intelligence maturity is considered as an evolving process of information transformation into a strategic and valuable resource that is the basis of the competitive advantage generation. Moreover, absorptive capacity could optimize this process for better knowledge creation or knowledge management. Based on resource-based theory, dynamic capability theory and knowledge-based theory, we focus on prior literature streams such as competitive intelligence maturity, absorptive capacity and competitive advantage which could be interconnected through deductive and inductive research methodology. This iterative conceptualization approach led to the formation of testable propositions that could allow for a better understanding of the relationship between the three main streams, that in research, has been considered as independent themes for decades. This research proposes a framework that supports a dynamic relationship between competitive intelligence maturity levels and absorptive capacity dimensions to create and maintain the competitive advantage.
{"title":"Dynamic Interactions Between Competitive Intelligence Maturity, Absorptive Capacity and Competitive Advantage","authors":"Abdelati Hakamoui, Nouha Berrada","doi":"10.1109/ictmod52902.2021.9739406","DOIUrl":"https://doi.org/10.1109/ictmod52902.2021.9739406","url":null,"abstract":"This paper aims at discussing the dynamic interactions and complex relationships between competitive intelligence maturity, absorptive capacity as a knowledge management process, to enhance a firm's competitive advantage. Competitive intelligence maturity is considered as an evolving process of information transformation into a strategic and valuable resource that is the basis of the competitive advantage generation. Moreover, absorptive capacity could optimize this process for better knowledge creation or knowledge management. Based on resource-based theory, dynamic capability theory and knowledge-based theory, we focus on prior literature streams such as competitive intelligence maturity, absorptive capacity and competitive advantage which could be interconnected through deductive and inductive research methodology. This iterative conceptualization approach led to the formation of testable propositions that could allow for a better understanding of the relationship between the three main streams, that in research, has been considered as independent themes for decades. This research proposes a framework that supports a dynamic relationship between competitive intelligence maturity levels and absorptive capacity dimensions to create and maintain the competitive advantage.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125419967","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}
Pub Date : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739338
Mariya Guerroum, M. Zegrari, A. A. Elmahjoub, Mouna Berquedich, Malek Masmoudi
Diagnosis and prognosis are both crucial and interlinked steps in the context of predictive maintenance of rotating machines. Risk management correlated with machine Reliability within time intervention. In this paper, the most popular machine learning algorithms are tested and compared to serve Predictive maintenance purposes. The use case of this paper is an industrial jaw crusher from the mining industry production process. Azure machine learning studio platform made it possible to simulate the proposed approaches. The relevance of Machine Learning models for predicting components’ health states is proved while achieving high accuracies.
{"title":"Machine Learning for the Predictive Maintenance of a Jaw Crusher in the Mining Industry","authors":"Mariya Guerroum, M. Zegrari, A. A. Elmahjoub, Mouna Berquedich, Malek Masmoudi","doi":"10.1109/ICTMOD52902.2021.9739338","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739338","url":null,"abstract":"Diagnosis and prognosis are both crucial and interlinked steps in the context of predictive maintenance of rotating machines. Risk management correlated with machine Reliability within time intervention. In this paper, the most popular machine learning algorithms are tested and compared to serve Predictive maintenance purposes. The use case of this paper is an industrial jaw crusher from the mining industry production process. Azure machine learning studio platform made it possible to simulate the proposed approaches. The relevance of Machine Learning models for predicting components’ health states is proved while achieving high accuracies.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125741672","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}
Pub Date : 2021-11-24DOI: 10.1109/ictmod52902.2021.9739308
B. Conlin, U. Ruhi
Online fraud is an ever-growing problem that dates back to the beginning of e-commerce. An online fraudster can utilize many attack vectors and planes; however, identity fraud is one of the most common and detrimental to the victims. This paper will look at the current research landscape of the different machine learning algorithms and approaches used to help predict and detect online identity fraud. By adopting systematic review and meta-analysis protocols, this paper summarizes the types of machine learning algorithms used in online fraud detection and prevention, and highlights the reported effectiveness of these methods through performance measurement indicator analysis. Last, the researchers present the limitations and future research directions based on the results of this study
{"title":"Current Research Landscape of Machine Learning Algorithms in Online Identity Fraud Prediction and Detection","authors":"B. Conlin, U. Ruhi","doi":"10.1109/ictmod52902.2021.9739308","DOIUrl":"https://doi.org/10.1109/ictmod52902.2021.9739308","url":null,"abstract":"Online fraud is an ever-growing problem that dates back to the beginning of e-commerce. An online fraudster can utilize many attack vectors and planes; however, identity fraud is one of the most common and detrimental to the victims. This paper will look at the current research landscape of the different machine learning algorithms and approaches used to help predict and detect online identity fraud. By adopting systematic review and meta-analysis protocols, this paper summarizes the types of machine learning algorithms used in online fraud detection and prevention, and highlights the reported effectiveness of these methods through performance measurement indicator analysis. Last, the researchers present the limitations and future research directions based on the results of this study","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116149056","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：