Pub Date : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380602
S. Lamrhari, Hamid Elghazi, Abdellatif El Faker
Social Customer Relationship Management (social CRM) has become one of the central points for many companies seeking to improve their customer experience. It comprises a set of processes that allows decision-makers to analyze customer data in order to launch an efficient customer-centric and cost-effective marketing strategy. However, targeting all potential customers with one general marketing strategy seems to be inefficient. While targeting each potential customer with a specific strategy can be cost demanding. Thus, it is essential to group customers into specific classes and target each class according to its respective customer needs. In this paper, we develop a Random Forest- based approach to classify potential customers into three main categories namely, prospects, satisfied and unsatisfied customers. The proposed model has been trained, tested, and compared to some state-of-the-art classifiers viz., Artificial Neural Network (ANN), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) based on several metrics including accuracy, sensitivity, specificity, false positive rate, and false negative rate. The reported results were satisfactory with an accuracy of 98.46%, a sensitivity of 97.69%, and a specificity of 98.84%.
{"title":"Random Forest-based Approach for Classifying Customers in Social CRM","authors":"S. Lamrhari, Hamid Elghazi, Abdellatif El Faker","doi":"10.1109/ICTMOD49425.2020.9380602","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380602","url":null,"abstract":"Social Customer Relationship Management (social CRM) has become one of the central points for many companies seeking to improve their customer experience. It comprises a set of processes that allows decision-makers to analyze customer data in order to launch an efficient customer-centric and cost-effective marketing strategy. However, targeting all potential customers with one general marketing strategy seems to be inefficient. While targeting each potential customer with a specific strategy can be cost demanding. Thus, it is essential to group customers into specific classes and target each class according to its respective customer needs. In this paper, we develop a Random Forest- based approach to classify potential customers into three main categories namely, prospects, satisfied and unsatisfied customers. The proposed model has been trained, tested, and compared to some state-of-the-art classifiers viz., Artificial Neural Network (ANN), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) based on several metrics including accuracy, sensitivity, specificity, false positive rate, and false negative rate. The reported results were satisfactory with an accuracy of 98.46%, a sensitivity of 97.69%, and a specificity of 98.84%.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123167938","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380587
Christophe Bisson, Thierry Warin
Big data and noise are becoming a nuisance for companies, with devastating consequences. Companies are not only wasting vast amounts of their money on detecting irrelevant signals but are also forced into a false competition on mastering information. Such a phenomenon, if gone undetected, can unwittingly create occupational 'blindness' and 'deafness', allowing data issues to become a burden rather than an advantage. Hybridizing strategy and A.I. will lead decision intelligence to the next level as a new paradigm, strategic complexity.
{"title":"Data Science and Strategic Complexity","authors":"Christophe Bisson, Thierry Warin","doi":"10.1109/ICTMOD49425.2020.9380587","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380587","url":null,"abstract":"Big data and noise are becoming a nuisance for companies, with devastating consequences. Companies are not only wasting vast amounts of their money on detecting irrelevant signals but are also forced into a false competition on mastering information. Such a phenomenon, if gone undetected, can unwittingly create occupational 'blindness' and 'deafness', allowing data issues to become a burden rather than an advantage. Hybridizing strategy and A.I. will lead decision intelligence to the next level as a new paradigm, strategic complexity.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129354495","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380600
João F. Soares, F. Romero, Manuel Lopes Nunes
Intermediation has become a key role in the complex realm of technology transfer projects. In innovation and technology transfer literature the number of mentions on intermediaries and their involvement in the process have expanded, which has triggered a surge in specific literature on the intermediation roles. Several authors have not only proposed new intermediation roles but also complemented and clarified previous ones. In this research, a review of the literature is made, focused on the role and involvement of intermediaries in innovation and technology transfer, covering more than thirty years and referring to four major databases. Following the analysis and discussion of the findings, the results are synthetized in a conceptual framework proposal, clustering thirteen key intermediation roles. Each of these role clusters describes a set of responsibilities, functions and main intermediation activities. Findings show that when it comes to intermediation roles, literature is yet too fragmented and scattered, with little to no connections between the proposed roles. The main contribution of this paper is to contribute to and to provide a comprehensive overview of otherwise scattered and disperse knowledge about the intermediation role.
{"title":"Innovation and technology transfer: a framework for clustering intermediation roles","authors":"João F. Soares, F. Romero, Manuel Lopes Nunes","doi":"10.1109/ICTMOD49425.2020.9380600","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380600","url":null,"abstract":"Intermediation has become a key role in the complex realm of technology transfer projects. In innovation and technology transfer literature the number of mentions on intermediaries and their involvement in the process have expanded, which has triggered a surge in specific literature on the intermediation roles. Several authors have not only proposed new intermediation roles but also complemented and clarified previous ones. In this research, a review of the literature is made, focused on the role and involvement of intermediaries in innovation and technology transfer, covering more than thirty years and referring to four major databases. Following the analysis and discussion of the findings, the results are synthetized in a conceptual framework proposal, clustering thirteen key intermediation roles. Each of these role clusters describes a set of responsibilities, functions and main intermediation activities. Findings show that when it comes to intermediation roles, literature is yet too fragmented and scattered, with little to no connections between the proposed roles. The main contribution of this paper is to contribute to and to provide a comprehensive overview of otherwise scattered and disperse knowledge about the intermediation role.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123674977","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380594
D. Salinas-Navarro, C. Garay-Rondero
Sustainability is of high importance because of the diverse implications for humanity and its endeavors. Urban mobility is one of these cases involving different modes of moving people and freight within cities. Urban mobility is a global challenge because of the increasing numbers of the urban population, circulating vehicles, and poor-air quality, in addition to the effects on people’s well-being, equality, and accessibility, among others. Improving urban mobility should involve the sustainability of cities and communities. From an educational perspective, professionals demand universities to educate for this type of challenge. Accordingly, relevant competencies in students require alternatives to deal with these issues in their present and future professional life. This work proposes to create learning experiences for industrial engineering education based on experiential learning for this purpose, mapping real-life situations onto students’ learning activities. For this purpose, this work offers a conceptual framework on sustainable urban mobility to develop learning experiences with an impact on transportation, accessibility, and connectivity. An application case exemplifies the use of the framework in a mobility conflicted zone in Mexico City. This work advances in bringing a relevant topic into industrial engineering education and contributes to the study of sustainable urban mobility from this discipline.
{"title":"Experiential learning for sustainable urban mobility in industrial engineering education","authors":"D. Salinas-Navarro, C. Garay-Rondero","doi":"10.1109/ICTMOD49425.2020.9380594","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380594","url":null,"abstract":"Sustainability is of high importance because of the diverse implications for humanity and its endeavors. Urban mobility is one of these cases involving different modes of moving people and freight within cities. Urban mobility is a global challenge because of the increasing numbers of the urban population, circulating vehicles, and poor-air quality, in addition to the effects on people’s well-being, equality, and accessibility, among others. Improving urban mobility should involve the sustainability of cities and communities. From an educational perspective, professionals demand universities to educate for this type of challenge. Accordingly, relevant competencies in students require alternatives to deal with these issues in their present and future professional life. This work proposes to create learning experiences for industrial engineering education based on experiential learning for this purpose, mapping real-life situations onto students’ learning activities. For this purpose, this work offers a conceptual framework on sustainable urban mobility to develop learning experiences with an impact on transportation, accessibility, and connectivity. An application case exemplifies the use of the framework in a mobility conflicted zone in Mexico City. This work advances in bringing a relevant topic into industrial engineering education and contributes to the study of sustainable urban mobility from this discipline.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127602492","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380583
O. O. Ojo, Satya Shah, S. Zigan, J. Orchard
The global battle of climate change is considered paramount, and one of the potential solutions to this could be the integration of sustainable practices at every level of operations in both manufacturing and service sectors. Adoption of sustainable practices is now of high importance in every industry, and various researchers have identified and percept sustainability as what every industry could consider ensuring a better future for better environment and prosperity within most sectors. Meanwhile, consideration of these sustainable practices within significant areas like food manufacturing industry will play a big role in improving the global environmental challenges and positively impact the economic and social aspect of most nations. This study, therefore, aims to evaluate sustainable food manufacturing supply chain environment proposing a set of Key Performance Indicators (KPIs) based on the triple bottom line of sustainability. The study carries out a survey seeking opinions from the experts in the industry and implements the use of common mean method to analyse and evaluate sustainability performance. The study ranks the performance by evaluating the triple bottom line of sustainability using the level of importance associated with the identified indicators of general food industry. The result identifies the top set of key performance indicators peculiar to rice manufacturing in Nigeria.
{"title":"Sustainability Performance of Rice Manufacturing in Nigerian Supply Chains","authors":"O. O. Ojo, Satya Shah, S. Zigan, J. Orchard","doi":"10.1109/ICTMOD49425.2020.9380583","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380583","url":null,"abstract":"The global battle of climate change is considered paramount, and one of the potential solutions to this could be the integration of sustainable practices at every level of operations in both manufacturing and service sectors. Adoption of sustainable practices is now of high importance in every industry, and various researchers have identified and percept sustainability as what every industry could consider ensuring a better future for better environment and prosperity within most sectors. Meanwhile, consideration of these sustainable practices within significant areas like food manufacturing industry will play a big role in improving the global environmental challenges and positively impact the economic and social aspect of most nations. This study, therefore, aims to evaluate sustainable food manufacturing supply chain environment proposing a set of Key Performance Indicators (KPIs) based on the triple bottom line of sustainability. The study carries out a survey seeking opinions from the experts in the industry and implements the use of common mean method to analyse and evaluate sustainability performance. The study ranks the performance by evaluating the triple bottom line of sustainability using the level of importance associated with the identified indicators of general food industry. The result identifies the top set of key performance indicators peculiar to rice manufacturing in Nigeria.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134538826","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380592
Filippo Vitolla, M. Rubino, Anastasia Giakoumelou, Felice Petruzzella, Nicola Raimo
In the past decade, attention toward digitalisation and its positive effects on the ability of companies to create value has grown among both professionals and academics. Nevertheless, data related to the level of firm digitalisation is poorly captured by financial disclosure. As a consequence, corporate websites present the potential to represent an ideal communication channel to provide information on digitalisation for financial claimants. Despite the relevance of the topic, there is a lack of studies on the impact of digitalisation-related information, implicitly or explicitly provided on corporate websites, and its impact on firm value. This paper aims to fill such gap through a content analysis of digitalisation-related information of 114 corporate websites. Results demonstrate that information dissemination regarding corporate digitalisation processes through corporate websites can increase firm value. Concluding, this study contributes to existing literature by identifying a major effect of digitalisation and relevant information on firm performance.
{"title":"Signaling digitalisation through corporate websites: the effect on firm value","authors":"Filippo Vitolla, M. Rubino, Anastasia Giakoumelou, Felice Petruzzella, Nicola Raimo","doi":"10.1109/ICTMOD49425.2020.9380592","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380592","url":null,"abstract":"In the past decade, attention toward digitalisation and its positive effects on the ability of companies to create value has grown among both professionals and academics. Nevertheless, data related to the level of firm digitalisation is poorly captured by financial disclosure. As a consequence, corporate websites present the potential to represent an ideal communication channel to provide information on digitalisation for financial claimants. Despite the relevance of the topic, there is a lack of studies on the impact of digitalisation-related information, implicitly or explicitly provided on corporate websites, and its impact on firm value. This paper aims to fill such gap through a content analysis of digitalisation-related information of 114 corporate websites. Results demonstrate that information dissemination regarding corporate digitalisation processes through corporate websites can increase firm value. Concluding, this study contributes to existing literature by identifying a major effect of digitalisation and relevant information on firm performance.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132671229","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380616
Francesca Ricciardi, A. Bertello, Canio Forliano, P. Bernardi
How do people’s beliefs on the likely system-level consequences of circulating a certain piece of knowledge influence those people’s knowledge behaviors? To address this question, we leverage the most recent developments of the theory of the commons as learning systems. According to this theory, people are strongly responsive to perceived threats to the commons they (may) benefit from, and strive to learn and respond accordingly. Through this theoretical lens, we analyze thick qualitative data (January-April 2020) from the Covid-19 crisis, which resulted in unprecedented visibility of commons-related knowledge behaviors. The contribution of this inductive study is fourfold. First, we identify a new emerging taxonomy of knowledge behaviors, including knowledge unleashing and knowledge curbing behaviors. Second, we identify a new emerging taxonomy of commons-related postures, that is, specific cognitive and behavioral attitudes that an individual may display about a certain commons. Third, we identify interesting emerging regularities in the relationships between specific commons-related postures and specific knowledge behaviors. Fourth, we show that the empirical data, analyzed in the light of the theory of the commons, strongly suggest disentangling knowledge behaviors from their consequences: for example, knowledge withholding proved far from being "intrinsically" counter-productive. We argue that these results open up promising research paths and opportunities for new knowledge management approaches in a wide range of organized and self-organizing contexts, such as innovation ecosystems, sustainability transitions, open innovation, or crisis management.
{"title":"Knowledge behaviors when the commons are at stake: Insights from the Covid-19 crisis","authors":"Francesca Ricciardi, A. Bertello, Canio Forliano, P. Bernardi","doi":"10.1109/ICTMOD49425.2020.9380616","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380616","url":null,"abstract":"How do people’s beliefs on the likely system-level consequences of circulating a certain piece of knowledge influence those people’s knowledge behaviors? To address this question, we leverage the most recent developments of the theory of the commons as learning systems. According to this theory, people are strongly responsive to perceived threats to the commons they (may) benefit from, and strive to learn and respond accordingly. Through this theoretical lens, we analyze thick qualitative data (January-April 2020) from the Covid-19 crisis, which resulted in unprecedented visibility of commons-related knowledge behaviors. The contribution of this inductive study is fourfold. First, we identify a new emerging taxonomy of knowledge behaviors, including knowledge unleashing and knowledge curbing behaviors. Second, we identify a new emerging taxonomy of commons-related postures, that is, specific cognitive and behavioral attitudes that an individual may display about a certain commons. Third, we identify interesting emerging regularities in the relationships between specific commons-related postures and specific knowledge behaviors. Fourth, we show that the empirical data, analyzed in the light of the theory of the commons, strongly suggest disentangling knowledge behaviors from their consequences: for example, knowledge withholding proved far from being \"intrinsically\" counter-productive. We argue that these results open up promising research paths and opportunities for new knowledge management approaches in a wide range of organized and self-organizing contexts, such as innovation ecosystems, sustainability transitions, open innovation, or crisis management.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128972563","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380582
Mouhcine Tallaki, E. Bracci, Riccardo Ievoli, Sonia Diplotti
Blockchain technology could can lead to radical changes by improving business model and process. Employing this technology in small and medium enterprises (SMEs) still represents a novel idea. Moreover, not much is actually known about the benefits brought by technology to SMEs. This research focuses on how SMEs perceive the new technology, in doing that we analyze the degree of knowledge, diffusion, and interest of the blockchain by SMEs. We designed and addresses a questionnaire to a sample of 300 SMEs in Italy. Results show that blockchain technology is quite well known, but the level of knowledge is quite limited. Moreover, the research reveals that the rate of adoption is very low. Regarding the interest to implement blockchain in the future results are optimistic.
{"title":"Knowledge, diffusion and interest towards blockchain technology in SMEs","authors":"Mouhcine Tallaki, E. Bracci, Riccardo Ievoli, Sonia Diplotti","doi":"10.1109/ICTMOD49425.2020.9380582","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380582","url":null,"abstract":"Blockchain technology could can lead to radical changes by improving business model and process. Employing this technology in small and medium enterprises (SMEs) still represents a novel idea. Moreover, not much is actually known about the benefits brought by technology to SMEs. This research focuses on how SMEs perceive the new technology, in doing that we analyze the degree of knowledge, diffusion, and interest of the blockchain by SMEs. We designed and addresses a questionnaire to a sample of 300 SMEs in Italy. Results show that blockchain technology is quite well known, but the level of knowledge is quite limited. Moreover, the research reveals that the rate of adoption is very low. Regarding the interest to implement blockchain in the future results are optimistic.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121098733","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380597
Reshawn Ramjattan, Nicholas Hosein, Patrick Hosein, A. Knoesen
For people seeking to form a team for a specific purpose, like a side project or study group, challenges quickly arise once they have exhausted their social circle in the search for teammates. In the wake of the current pandemic, meeting new people that are right for a specific team is even more difficult than before due to the lack of in-person events. On social media platforms, users often have large networks of friends but have very few close personal relationships in them. So, posting on those to look for people that are compatible, share the same goal and are interested in the niche group, is being hopeful at best. We present a scalable framework for establishing small online groups that balances two objectives, making the best group recommendations to users and guiding group hosts to the best users for their group. We illustrate this framework using three use cases and evaluate a server-less implementation using a large social media dataset to simulate a production environment.
{"title":"Dynamic Group Formation with Suitability Constraints in large Social Networks","authors":"Reshawn Ramjattan, Nicholas Hosein, Patrick Hosein, A. Knoesen","doi":"10.1109/ICTMOD49425.2020.9380597","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380597","url":null,"abstract":"For people seeking to form a team for a specific purpose, like a side project or study group, challenges quickly arise once they have exhausted their social circle in the search for teammates. In the wake of the current pandemic, meeting new people that are right for a specific team is even more difficult than before due to the lack of in-person events. On social media platforms, users often have large networks of friends but have very few close personal relationships in them. So, posting on those to look for people that are compatible, share the same goal and are interested in the niche group, is being hopeful at best. We present a scalable framework for establishing small online groups that balances two objectives, making the best group recommendations to users and guiding group hosts to the best users for their group. We illustrate this framework using three use cases and evaluate a server-less implementation using a large social media dataset to simulate a production environment.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116761604","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 : 2020-11-24DOI: 10.1109/ICTMOD49425.2020.9380610
Alia Al Sadawi, B. Madani, Sara Saboor, M. Ndiaye, G. Abu-Lebdeh
Climate change is a major issue that has serious disastrous implications on the environment, which if continues on the same pattern, will cause severe consequences. One of the leading causes of climate change is the emissions of harmful gases, especially CO2. In 1997 the Kyoto protocol was signed where 192 countries created a system that monetizes CO2 emissions with an aim to control them. A carbon trading scheme was signed by most countries, but the scheme fell short of its goals due to corruption, manipulation, and lack of integrity. This work presents an improved blockchain-based approach to achieve the objective of reducing carbon emissions. Blockchain’s distinct features such as security, immutability, transparency, traceability, and trust, make it a robust and reliable solution for the in-hand carbon trading market. Previous Blockchain-based proposals were not comprehensive, practical, applicable, or efficient enough to form an effective solution. This research addresses the current gaps and proposes a comprehensive framework that employs smart contracts in Blockchain of Things (BoT) to ensure integrity in the system and reach fair trade status that favors the environment over companies’ cost reductions and profit-making. The result is an optimized carbon emission trading framework, fully transparent with automated trading and control mechanisms.
{"title":"A Hierarchical Blockchain of Things Network For Unified Carbon Emission Trading (HBUETS):A Conceptual Framework","authors":"Alia Al Sadawi, B. Madani, Sara Saboor, M. Ndiaye, G. Abu-Lebdeh","doi":"10.1109/ICTMOD49425.2020.9380610","DOIUrl":"https://doi.org/10.1109/ICTMOD49425.2020.9380610","url":null,"abstract":"Climate change is a major issue that has serious disastrous implications on the environment, which if continues on the same pattern, will cause severe consequences. One of the leading causes of climate change is the emissions of harmful gases, especially CO2. In 1997 the Kyoto protocol was signed where 192 countries created a system that monetizes CO2 emissions with an aim to control them. A carbon trading scheme was signed by most countries, but the scheme fell short of its goals due to corruption, manipulation, and lack of integrity. This work presents an improved blockchain-based approach to achieve the objective of reducing carbon emissions. Blockchain’s distinct features such as security, immutability, transparency, traceability, and trust, make it a robust and reliable solution for the in-hand carbon trading market. Previous Blockchain-based proposals were not comprehensive, practical, applicable, or efficient enough to form an effective solution. This research addresses the current gaps and proposes a comprehensive framework that employs smart contracts in Blockchain of Things (BoT) to ensure integrity in the system and reach fair trade status that favors the environment over companies’ cost reductions and profit-making. The result is an optimized carbon emission trading framework, fully transparent with automated trading and control mechanisms.","PeriodicalId":158303,"journal":{"name":"2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115187919","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}
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