Pub Date : 2019-08-01DOI: 10.23919/PICMET.2019.8893845
Jeffries M. Hamilton, Ronald Vatananan-Thesenvitz
The presented research applies a design thinking framework intended to gain meaningful insights about the thoughts, attitudes, and emotions towards exercise and technology within the Thai aging population. A cross-section of 80 elderly in Thailand will be selected to match the demographic profile of the nation and to serve as a paradigm for other emerging economies in the APAC region. In-depth interviews, focus groups and observational analysis are used to guide the creative process in developing integrated product/technology concepts to test with the participants. To produce an interchangeable system, the elderly population is segmented based on three main criteria (1) physical capabilities, (2) financial situation and (3) technological understanding. The research has yielded a modular product/technology platform concepts consisting of low, medium, and high-tech solutions, to meet the needs of the elderly segments.
{"title":"Integrating Product Innovations for the Aging Population: The Example of Exercise Technology Platforms in an Emerging Economy","authors":"Jeffries M. Hamilton, Ronald Vatananan-Thesenvitz","doi":"10.23919/PICMET.2019.8893845","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893845","url":null,"abstract":"The presented research applies a design thinking framework intended to gain meaningful insights about the thoughts, attitudes, and emotions towards exercise and technology within the Thai aging population. A cross-section of 80 elderly in Thailand will be selected to match the demographic profile of the nation and to serve as a paradigm for other emerging economies in the APAC region. In-depth interviews, focus groups and observational analysis are used to guide the creative process in developing integrated product/technology concepts to test with the participants. To produce an interchangeable system, the elderly population is segmented based on three main criteria (1) physical capabilities, (2) financial situation and (3) technological understanding. The research has yielded a modular product/technology platform concepts consisting of low, medium, and high-tech solutions, to meet the needs of the elderly segments.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134442364","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 : 2019-08-01DOI: 10.23919/PICMET.2019.8893888
Jacqueline Nayame, Maoloud Dabab, T. Anderson
Public transit systems in the USA have been faced with mounting pressure to decrease their operating costs while at the same time expected to increase ridership and meeting multiple societal needs. The primary objective of this study is to measure the efficiencies of mass transit agencies based on best practice in the US, identify the influencing factors leading to their efficiencies, and how these strategies and policies can be used improve inefficiency in transit agencies. Using Data Envelopment Analysis (DEA) method, the study analyzed the mass performance of 334 transit agencies across the US using data from the national transit database (NTD) for the five years (2012 to 2016). The results show that public transit agencies operating ridesharing programs such as vanpools and on demand-services are more efficient compared to other agencies, as they are able to better at utilizing their inputs and therefore having a higher overall efficiency.
{"title":"Benchmarking and Evaluating the Efficiency of Mass Transit Systems Based on Best Practice Using Data Envelopment Analysis","authors":"Jacqueline Nayame, Maoloud Dabab, T. Anderson","doi":"10.23919/PICMET.2019.8893888","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893888","url":null,"abstract":"Public transit systems in the USA have been faced with mounting pressure to decrease their operating costs while at the same time expected to increase ridership and meeting multiple societal needs. The primary objective of this study is to measure the efficiencies of mass transit agencies based on best practice in the US, identify the influencing factors leading to their efficiencies, and how these strategies and policies can be used improve inefficiency in transit agencies. Using Data Envelopment Analysis (DEA) method, the study analyzed the mass performance of 334 transit agencies across the US using data from the national transit database (NTD) for the five years (2012 to 2016). The results show that public transit agencies operating ridesharing programs such as vanpools and on demand-services are more efficient compared to other agencies, as they are able to better at utilizing their inputs and therefore having a higher overall efficiency.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131956401","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 : 2019-08-01DOI: 10.23919/PICMET.2019.8893687
Patrick Weber, Simon Hiller, H. Lasi
Smart speakers illustrate how in consumer Internet of Things physical assets have a digital twin stored on digital platforms. The numerous skills across different vendors in the system of smart speakers are one example of added value in platform-based ecosystems. Based on the three-tier architecture of the Industrial Internet Consortium we illustrate the principles of consumer Internet of Things and transfer them to the Industrial Internet of Things. With our developed multi-stage approach enterprises have a guidance how they can use their Business Capabilities to generate added value in platform-based ecosystems. Therein, Business Capabilities create the link between technology and business model. The developed approach is applied and evaluated in a case study in the context of industrial service. Beyond this paper, the approach is currently applied to other cases outside the industrial sector, such as additive manufacturing and catering.
{"title":"Design and Evaluation of an Approach to Generate Cross-Domain Value Scenarios in the Context of the Industrial Internet of Things: A Capability-Based Approach","authors":"Patrick Weber, Simon Hiller, H. Lasi","doi":"10.23919/PICMET.2019.8893687","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893687","url":null,"abstract":"Smart speakers illustrate how in consumer Internet of Things physical assets have a digital twin stored on digital platforms. The numerous skills across different vendors in the system of smart speakers are one example of added value in platform-based ecosystems. Based on the three-tier architecture of the Industrial Internet Consortium we illustrate the principles of consumer Internet of Things and transfer them to the Industrial Internet of Things. With our developed multi-stage approach enterprises have a guidance how they can use their Business Capabilities to generate added value in platform-based ecosystems. Therein, Business Capabilities create the link between technology and business model. The developed approach is applied and evaluated in a case study in the context of industrial service. Beyond this paper, the approach is currently applied to other cases outside the industrial sector, such as additive manufacturing and catering.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124307878","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 : 2019-08-01DOI: 10.23919/PICMET.2019.8893798
T. Robal
Eye tracking is one of the solutions applied in human-computer interaction research to study how users interact with user interfaces — where do they focus, what interests them and how do they browse through the content on the page. Eye tracking has also been used to detect user attention and even mind-wandering. Eye tracking is usually carried out by exploiting special hardware — expensive tools that cannot be applied to masses. Thereby, these trackers are only suitable for studies in lab conditions. The latest advancements in technology have enabled to use commercial grade webcams and special software for capturing user eye gaze. However, calibration still remains as a hurdle to overcome. Herein, we explore the applicability of spontaneous eye gaze tracking approach and its accuracy compared to a professional eye tracking solution in a controlled study. In particular, we focus on the applicability of eye tracking in a user-effortless way for focus area detection in web user interfaces.
{"title":"Spontaneous Webcam Instance for User Attention Tracking","authors":"T. Robal","doi":"10.23919/PICMET.2019.8893798","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893798","url":null,"abstract":"Eye tracking is one of the solutions applied in human-computer interaction research to study how users interact with user interfaces — where do they focus, what interests them and how do they browse through the content on the page. Eye tracking has also been used to detect user attention and even mind-wandering. Eye tracking is usually carried out by exploiting special hardware — expensive tools that cannot be applied to masses. Thereby, these trackers are only suitable for studies in lab conditions. The latest advancements in technology have enabled to use commercial grade webcams and special software for capturing user eye gaze. However, calibration still remains as a hurdle to overcome. Herein, we explore the applicability of spontaneous eye gaze tracking approach and its accuracy compared to a professional eye tracking solution in a controlled study. In particular, we focus on the applicability of eye tracking in a user-effortless way for focus area detection in web user interfaces.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123895415","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 : 2019-08-01DOI: 10.23919/PICMET.2019.8893902
Aki Tomita
Recently artificial intelligence (AI) spring has been brought about by the needs from the aging world as well as advances of the deep learning technologies. Japan is the world's most aged country: 33 percent of its population were aged 60 years or over in 2017. The population aging and population decline contribute to a decline in growth potential. Recalling the growth accounting equation, productivity, neither capital nor labor, is strongly desired to increase. This success depends on how effectively AI makes use of capital and labor, especially labor. AI is expected to supplement human workforce rather than to take place of it. Because AI is not a natural person who has his or her autonomous will, its learning is under control of some natural person. This paper proposes a management framework for AI to supplement human workforce. By looking back the AI history, the proposed management framework integrates statistical knowledge derived from machine learning and deterministic expertise obtained from expert systems. To evaluate the effectiveness of this proposal, this paper analyses expert system and machine learning applications in auditing. It was confirmed that auditors can be assisted in making decisions on broader areas by integrating the outputs from these two approaches.
{"title":"A Managing Framework for Artificial Intelligence to Supplement Human Workforce in a Digital Economy","authors":"Aki Tomita","doi":"10.23919/PICMET.2019.8893902","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893902","url":null,"abstract":"Recently artificial intelligence (AI) spring has been brought about by the needs from the aging world as well as advances of the deep learning technologies. Japan is the world's most aged country: 33 percent of its population were aged 60 years or over in 2017. The population aging and population decline contribute to a decline in growth potential. Recalling the growth accounting equation, productivity, neither capital nor labor, is strongly desired to increase. This success depends on how effectively AI makes use of capital and labor, especially labor. AI is expected to supplement human workforce rather than to take place of it. Because AI is not a natural person who has his or her autonomous will, its learning is under control of some natural person. This paper proposes a management framework for AI to supplement human workforce. By looking back the AI history, the proposed management framework integrates statistical knowledge derived from machine learning and deterministic expertise obtained from expert systems. To evaluate the effectiveness of this proposal, this paper analyses expert system and machine learning applications in auditing. It was confirmed that auditors can be assisted in making decisions on broader areas by integrating the outputs from these two approaches.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124572502","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 : 2019-08-01DOI: 10.23919/PICMET.2019.8893962
Murat Ayabakan, Ersoy Yilmaz
Technologies of the fourth industrial revolution are closing the gap between physical and virtual world in manufacturing process and it will have a huge effects on whole supply-chain. The changing paradigm of manufacturing value chain affects tier 1 and 2 suppliers in Turkey as also affects every country and industry. Definitely, the digitalization of the lines and value chain will bring challenges to these suppliers. They either has to invest for new technologies and competent workers, or will be open to lose their market proximity advantage to cost effective competitors. A case study from a tier 1 supplier, Aisin Turkey (which is operating as a supplier to manufacturers like Toyota, Hyundai, Honda), will be shared along with the lessons learned and possible extension strategies for similar companies. In 2017 a dedicated design and manufacturing team is assigned for application of Industry 4.0 technologies and virtual product labers that can communicate with machines, lines and their die changing systems according to orders coming from customers. In this study, details of this digital production management method and the potential impacts of Industry 4.0. or digitalization of manufacturing on tier 1 and 2 automotive suppliers in Turkey will be explored.
{"title":"Digitalization of the Kanban System","authors":"Murat Ayabakan, Ersoy Yilmaz","doi":"10.23919/PICMET.2019.8893962","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893962","url":null,"abstract":"Technologies of the fourth industrial revolution are closing the gap between physical and virtual world in manufacturing process and it will have a huge effects on whole supply-chain. The changing paradigm of manufacturing value chain affects tier 1 and 2 suppliers in Turkey as also affects every country and industry. Definitely, the digitalization of the lines and value chain will bring challenges to these suppliers. They either has to invest for new technologies and competent workers, or will be open to lose their market proximity advantage to cost effective competitors. A case study from a tier 1 supplier, Aisin Turkey (which is operating as a supplier to manufacturers like Toyota, Hyundai, Honda), will be shared along with the lessons learned and possible extension strategies for similar companies. In 2017 a dedicated design and manufacturing team is assigned for application of Industry 4.0 technologies and virtual product labers that can communicate with machines, lines and their die changing systems according to orders coming from customers. In this study, details of this digital production management method and the potential impacts of Industry 4.0. or digitalization of manufacturing on tier 1 and 2 automotive suppliers in Turkey will be explored.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127979996","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 : 2019-08-01DOI: 10.23919/PICMET.2019.8893969
Toshihiro Kose, Hiroko Yamano, I. Sakata
Robots are composed of various sophisticated technologies, such as mechanics, control systems, electronics, software, and technology convergence, which could be some of the key factors driving innovation in robotics. In addition, in the era of the Internet of Things, companies are required to take measures to make alliances with possible partners, or undertake mergers and acquisitions as a means of open innovation. However, it is increasingly difficult to identify emerging technological innovation because of the speed of innovation, the uncertainty of the possible combinations that could lead to innovation, and the complex convergence of technologies. Although bibliometrics has enabled us to identify major technologies and the approximate relationship between different fields of technologies, precise methodologies are required that will be able to detect emerging technological fields in detail, especially in the case of complex technologies like robotics. By applying a citation network analysis to both clustering and detecting technology convergence, this paper proposes a methodology to precisely detect emerging complex technological fields. The patents data containing robotics in their titles and abstracts were retrieved from Derwent Innovation, and 65,796 patent citations, from 1974 to 2018, were extracted through the Academic Landscape System. This study contributes to information on decision-making on collaborations or other open innovation measures for organizations.
{"title":"Detecting Emerging Complex Technological Fields in Robotics","authors":"Toshihiro Kose, Hiroko Yamano, I. Sakata","doi":"10.23919/PICMET.2019.8893969","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893969","url":null,"abstract":"Robots are composed of various sophisticated technologies, such as mechanics, control systems, electronics, software, and technology convergence, which could be some of the key factors driving innovation in robotics. In addition, in the era of the Internet of Things, companies are required to take measures to make alliances with possible partners, or undertake mergers and acquisitions as a means of open innovation. However, it is increasingly difficult to identify emerging technological innovation because of the speed of innovation, the uncertainty of the possible combinations that could lead to innovation, and the complex convergence of technologies. Although bibliometrics has enabled us to identify major technologies and the approximate relationship between different fields of technologies, precise methodologies are required that will be able to detect emerging technological fields in detail, especially in the case of complex technologies like robotics. By applying a citation network analysis to both clustering and detecting technology convergence, this paper proposes a methodology to precisely detect emerging complex technological fields. The patents data containing robotics in their titles and abstracts were retrieved from Derwent Innovation, and 65,796 patent citations, from 1974 to 2018, were extracted through the Academic Landscape System. This study contributes to information on decision-making on collaborations or other open innovation measures for organizations.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115433746","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 : 2019-08-01DOI: 10.23919/PICMET.2019.8893696
Amaury-Alexandre Schaller, Ronald Vatananan-Thesenvitz, Nonthapat Pulsiri, Arnauld-Maximilian Schaller
This conference paper explores the characteristics of publications related to the topic of digital business models (DBM). In this review science mapping techniques were applied to review 146 SCOPUS indexed articles and conference papers concerned with the implementation of DBM. Digitization and its rapid evolution are creating new products, changing customer demands and disrupting traditional markets. Hence, the focus of many companies up to date has been on the adoption of emergent technologies, such as internet of things (IoT), artificial intelligence, big-data or cloud computing. Yet in order to stay competitive and to avoid disruption by a new market entrant a firm needs to adapt and even redesign its core business model in the context of the digital age. However, successfully implementing a digital business model remains one of today's most challenging tasks. The aim of this review is to reveal the size, growth trajectory and geographic distribution of the digital business model knowledge base. Moreover, the goal is to detect key journals, authors and publications, as well as to give an overview of the intellectual structure of the literature and possibly highlight actual trends in the domain of DBM. The review attested a modest-sized knowledge base concentrated in Western countries. Furthermore, four ‘schools of thoughts’ were identified and further explained. It is a first attempt of a bibliometric review in this field, and thus shall give guidance for future research and practical implications.
{"title":"The Rise of Digital Business Models: An Analysis of the Knowledge Base","authors":"Amaury-Alexandre Schaller, Ronald Vatananan-Thesenvitz, Nonthapat Pulsiri, Arnauld-Maximilian Schaller","doi":"10.23919/PICMET.2019.8893696","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893696","url":null,"abstract":"This conference paper explores the characteristics of publications related to the topic of digital business models (DBM). In this review science mapping techniques were applied to review 146 SCOPUS indexed articles and conference papers concerned with the implementation of DBM. Digitization and its rapid evolution are creating new products, changing customer demands and disrupting traditional markets. Hence, the focus of many companies up to date has been on the adoption of emergent technologies, such as internet of things (IoT), artificial intelligence, big-data or cloud computing. Yet in order to stay competitive and to avoid disruption by a new market entrant a firm needs to adapt and even redesign its core business model in the context of the digital age. However, successfully implementing a digital business model remains one of today's most challenging tasks. The aim of this review is to reveal the size, growth trajectory and geographic distribution of the digital business model knowledge base. Moreover, the goal is to detect key journals, authors and publications, as well as to give an overview of the intellectual structure of the literature and possibly highlight actual trends in the domain of DBM. The review attested a modest-sized knowledge base concentrated in Western countries. Furthermore, four ‘schools of thoughts’ were identified and further explained. It is a first attempt of a bibliometric review in this field, and thus shall give guidance for future research and practical implications.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127172315","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 : 2019-08-01DOI: 10.23919/PICMET.2019.8893778
Maoloud Dabab, Rafaa Khalifa, N. Beltaif
With all of the changes and challenges in Libya, the country possesses many positive attributes for carefully targeted investment in several sectors and seeks to use the last updated technology to improve public service. The Libyan ministry of telecommunication is interested in long-term investment in the cellular telecom industry. Although the ministry and its national operators have sought to catch up to the fast growth of the technology and provide the best service to the customers, the sector needs some reforms. Therefore, to improve prospects for success, four options (privatization of the companies, licensing a new foreign operator, supporting existing operators, and joint venture) were identified and evaluated based on a multiple perspectives criteria and goals using a Hierarchical Decision Model (HDM) methodology. The judgments of Libyan experts in the telecom sector were used to validate and quantify the model. The final result shows the licensing of a new foreign operator is considered to be the best option in the case of Libya.
{"title":"Evaluating the Selection of Cellular Business Using a Hierarchical Decision Model: The Case of Libya","authors":"Maoloud Dabab, Rafaa Khalifa, N. Beltaif","doi":"10.23919/PICMET.2019.8893778","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893778","url":null,"abstract":"With all of the changes and challenges in Libya, the country possesses many positive attributes for carefully targeted investment in several sectors and seeks to use the last updated technology to improve public service. The Libyan ministry of telecommunication is interested in long-term investment in the cellular telecom industry. Although the ministry and its national operators have sought to catch up to the fast growth of the technology and provide the best service to the customers, the sector needs some reforms. Therefore, to improve prospects for success, four options (privatization of the companies, licensing a new foreign operator, supporting existing operators, and joint venture) were identified and evaluated based on a multiple perspectives criteria and goals using a Hierarchical Decision Model (HDM) methodology. The judgments of Libyan experts in the telecom sector were used to validate and quantify the model. The final result shows the licensing of a new foreign operator is considered to be the best option in the case of Libya.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127601202","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 : 2019-08-01DOI: 10.23919/PICMET.2019.8893923
Florian Zemler, M. Westner
Blockchain and the European General Data Protection Regulation (GDPR) are two topics that are currently highly discussed in academia and amongst professionals. The Blockchain technology is claimed to revolutionize how business is being conducted by its way of storing data and sharing it with others. The recently introduced GDPR has a huge impact on processing personal data because it brought major changes to privacy regulation. This might also affect the processing of personal data in Blockchain-based application scenarios. Based on literature analysis, the paper at hand provides an overview of the Blockchain technology, presents a decision model, and introduces two possible Blockchain application scenarios. It analyses relevant requirements of the GDPR in view of processing personal data and compares these with the fundamental principles of the Blockchain technology. The paper concludes that processing personal data in the Blockchain is violating the GDPR because it conflicts with fundamental specification of this regulation. This finding reveals the need for further research to propose concepts and frameworks for a GDPR-compliant processing of personal data using Blockchain technology.
{"title":"Blockchain and GDPR: Application Scenarios and Compliance Requirements","authors":"Florian Zemler, M. Westner","doi":"10.23919/PICMET.2019.8893923","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893923","url":null,"abstract":"Blockchain and the European General Data Protection Regulation (GDPR) are two topics that are currently highly discussed in academia and amongst professionals. The Blockchain technology is claimed to revolutionize how business is being conducted by its way of storing data and sharing it with others. The recently introduced GDPR has a huge impact on processing personal data because it brought major changes to privacy regulation. This might also affect the processing of personal data in Blockchain-based application scenarios. Based on literature analysis, the paper at hand provides an overview of the Blockchain technology, presents a decision model, and introduces two possible Blockchain application scenarios. It analyses relevant requirements of the GDPR in view of processing personal data and compares these with the fundamental principles of the Blockchain technology. The paper concludes that processing personal data in the Blockchain is violating the GDPR because it conflicts with fundamental specification of this regulation. This finding reveals the need for further research to propose concepts and frameworks for a GDPR-compliant processing of personal data using Blockchain technology.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126768669","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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