Pub Date : 2019-08-01DOI: 10.23919/PICMET.2019.8893913
J. Binus
The electric power industry and its associated infrastructures (a.k.a. "the grid") are evolving from centrally planned, organized, and operated networks of players, technologies, and resources to systems of systems that are increasingly digitized and distributed in their operation and innovative capacity. Subsequently, strategic planners and technology managers associated with the electric power industry are faced with a range of scenarios to evaluate, including one that considers the emergence of commercialized transactive energy systems in the coming ten-year time horizon. The crafting of a transactive energy scenario can help inform technology innovation and management efforts that benefit consumers, electricity providers, and society by providing planners with a tool to investigate key drivers of change and a range of desired attributes of future technologies that could be employed to address emerging customer needs, wants, and expectations. This paper introduces readers to key elements associated with the market emergence and adoption of transactive energy systems in order to encourage their inclusion in long-term scenario portfolios being utilized to inform electric power industry planning efforts.
{"title":"Planning for Change in the Electric Power Industry: A Primer for Transactive Energy Scenario Development","authors":"J. Binus","doi":"10.23919/PICMET.2019.8893913","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893913","url":null,"abstract":"The electric power industry and its associated infrastructures (a.k.a. \"the grid\") are evolving from centrally planned, organized, and operated networks of players, technologies, and resources to systems of systems that are increasingly digitized and distributed in their operation and innovative capacity. Subsequently, strategic planners and technology managers associated with the electric power industry are faced with a range of scenarios to evaluate, including one that considers the emergence of commercialized transactive energy systems in the coming ten-year time horizon. The crafting of a transactive energy scenario can help inform technology innovation and management efforts that benefit consumers, electricity providers, and society by providing planners with a tool to investigate key drivers of change and a range of desired attributes of future technologies that could be employed to address emerging customer needs, wants, and expectations. This paper introduces readers to key elements associated with the market emergence and adoption of transactive energy systems in order to encourage their inclusion in long-term scenario portfolios being utilized to inform electric power industry planning efforts.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126321193","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.2019.8893828
Xuanting Ye, Defang Yang, Yun Liu, Zhenwei Zhang, Jian Zhang
In order to promote the development of national indigenous innovation demonstration zones, Chinese government has set out a series of policies, which intend to improve the institutional system of science and technology innovation, develop the strategic emerging industries, and accelerate the transformation of the economic development mode. This paper raises the analysis on the relevant policies of 17 China's national indigenous innovation demonstration zones. The paper delineates the status quo of and the classification of the policies. By using the method of policy document analysis, the paper explores the characteristics of policy tool and the paths of policy diffusion. Based on the aforesaid research, the paper intends to investigate the policy diffusion of Zhongguancun national indigenous innovation demonstration zones, and to propose the suggestions to promote the development of these zones.
{"title":"The Policy Diffusion of China's National Indigenous Innovation Demonstration Zones: A Case Study on Zhongguancun","authors":"Xuanting Ye, Defang Yang, Yun Liu, Zhenwei Zhang, Jian Zhang","doi":"10.23919/PICMET.2019.8893828","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893828","url":null,"abstract":"In order to promote the development of national indigenous innovation demonstration zones, Chinese government has set out a series of policies, which intend to improve the institutional system of science and technology innovation, develop the strategic emerging industries, and accelerate the transformation of the economic development mode. This paper raises the analysis on the relevant policies of 17 China's national indigenous innovation demonstration zones. The paper delineates the status quo of and the classification of the policies. By using the method of policy document analysis, the paper explores the characteristics of policy tool and the paths of policy diffusion. Based on the aforesaid research, the paper intends to investigate the policy diffusion of Zhongguancun national indigenous innovation demonstration zones, and to propose the suggestions to promote the development of these zones.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124310717","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.2019.8893943
Hiroko Yamano, I. Sakata
Maintenance and replacement are key elements of transaction management for companies to survive in a highly volatile market. Companies that have too low or too high rates of transactional continuity tend to leave the market, especially in severe times, such as in the aftermath of The Great East Japan Earthquake. In other words, the metabolism of transactions is the key to companies' survival. However, the question is what types of companies that were replaced by other companies and disappeared from the partner companies' list. In this study, we focused on business bankruptcies, which affect the structure of partner firms' transaction networks. Using the data of 1,406,690 cumulative companies over the 10 years from 2007 to 2016 in Japan, provided by Tokyo Shoko Research, Ltd., we investigated the features of companies to identify any patterns in the cases of bankruptcy. We analyzed the business status related to bankruptcy, including discontinuance, suspension, merger, and resumption. To illustrate the latent features of bankruptcies with various corporate features, we used tensor factorial analysis, which reduces data complexity and enables a reasonable interpretation. The analysis results of factorization seem to clarify previously hidden knowledge to support transaction management.
{"title":"Latent Pattern Extraction and Factorization of Firm Bankruptcies and Metabolism in Japan","authors":"Hiroko Yamano, I. Sakata","doi":"10.23919/PICMET.2019.8893943","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893943","url":null,"abstract":"Maintenance and replacement are key elements of transaction management for companies to survive in a highly volatile market. Companies that have too low or too high rates of transactional continuity tend to leave the market, especially in severe times, such as in the aftermath of The Great East Japan Earthquake. In other words, the metabolism of transactions is the key to companies' survival. However, the question is what types of companies that were replaced by other companies and disappeared from the partner companies' list. In this study, we focused on business bankruptcies, which affect the structure of partner firms' transaction networks. Using the data of 1,406,690 cumulative companies over the 10 years from 2007 to 2016 in Japan, provided by Tokyo Shoko Research, Ltd., we investigated the features of companies to identify any patterns in the cases of bankruptcy. We analyzed the business status related to bankruptcy, including discontinuance, suspension, merger, and resumption. To illustrate the latent features of bankruptcies with various corporate features, we used tensor factorial analysis, which reduces data complexity and enables a reasonable interpretation. The analysis results of factorization seem to clarify previously hidden knowledge to support transaction management.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120999651","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.2019.8893765
Yoshimi Harada, S. Sengoku
Biotech start-up firms have become the major originator of innovative products in the pharmaceutical industry. The composition and capability of the management team are key factors in their steady growth and are more elastic than other resources such as the size of capital and number of products. However, the characteristics and dynamics of the management team are not fully understood in Japan, resulting in limited value creation. To address this issue, the present study conducted a systematic review of representative publications on the key success factors of biotech start-up firms. Considering the massive investment and long time before generating revenue with a lower success rate in uncertain situations, we defined firms' success in terms of achieving initial public offering or entering a clinical study (internal factors) and the significance of support from venture capitalists and alliances with large corporations (external factors). Furthermore, we identified the key characteristics of the management team of a start-up firm in terms of its transformation over time, modes of contribution by a seed originator, legitimacy, and scientific understanding.
{"title":"The Key Success Factors of Biotech Start-Up Firms: Characteristics and Attributes of the Management Teams of High-Performing Biotech Start-Ups","authors":"Yoshimi Harada, S. Sengoku","doi":"10.23919/PICMET.2019.8893765","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893765","url":null,"abstract":"Biotech start-up firms have become the major originator of innovative products in the pharmaceutical industry. The composition and capability of the management team are key factors in their steady growth and are more elastic than other resources such as the size of capital and number of products. However, the characteristics and dynamics of the management team are not fully understood in Japan, resulting in limited value creation. To address this issue, the present study conducted a systematic review of representative publications on the key success factors of biotech start-up firms. Considering the massive investment and long time before generating revenue with a lower success rate in uncertain situations, we defined firms' success in terms of achieving initial public offering or entering a clinical study (internal factors) and the significance of support from venture capitalists and alliances with large corporations (external factors). Furthermore, we identified the key characteristics of the management team of a start-up firm in terms of its transformation over time, modes of contribution by a seed originator, legitimacy, and scientific understanding.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122831276","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.2019.8893881
Gary Langford, John Green, Daniel P. Burns, Alexander Keller, D. C. Schmidt
The integrated set of prognostic domains (ISPD) of technology presented here provides a normative means to construct a wholly new process model for guiding Technology Management of Artificial Intelligent Systems (AIS). Seventeen domains represent all-inclusive stakeholder perspectives that encapsulate lifecycle analyses, evaluations, feasibilities, and tradeoffs with the domain contexts. Following Systems Model-Based thinking (SMBT), a postulated focal point interaction is the entry condition from which each domain is considered and thereafter traversed. Domains are interactive with each other through concurrent, iterative, recursive, and non-recursive processes. This interactive work continues until the completion milestones of each domain are satisfied. Techniques such as agile, progressive, prescriptive, and spiral are used as appropriate to reconcile functional and process requirements, risk, schedule, and budget. An important factor of ISPD is that multiple concepts of operation, widely diverse architectures, and explicitly differentiable designs are inevitable and highly desirable. The entire gamut of interactions of AIS with other posited systems is exposed and examined by the work carried out in each domain. While the ISPD was inspired by the use of SMBT with traditional process models, the essences of ISPD were extracted from developing systems of systems products and services. SMBT was piloted on a one-year project to integrate informational, social, and behavioral exchanges between humans and intelligent systems. This paper introduces SMBT for designing and building AIS by applying ISPD.
{"title":"Domain Process Model Overcome Limitations of Engineering Models for Developing Artificial Intelligent Systems","authors":"Gary Langford, John Green, Daniel P. Burns, Alexander Keller, D. C. Schmidt","doi":"10.23919/PICMET.2019.8893881","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893881","url":null,"abstract":"The integrated set of prognostic domains (ISPD) of technology presented here provides a normative means to construct a wholly new process model for guiding Technology Management of Artificial Intelligent Systems (AIS). Seventeen domains represent all-inclusive stakeholder perspectives that encapsulate lifecycle analyses, evaluations, feasibilities, and tradeoffs with the domain contexts. Following Systems Model-Based thinking (SMBT), a postulated focal point interaction is the entry condition from which each domain is considered and thereafter traversed. Domains are interactive with each other through concurrent, iterative, recursive, and non-recursive processes. This interactive work continues until the completion milestones of each domain are satisfied. Techniques such as agile, progressive, prescriptive, and spiral are used as appropriate to reconcile functional and process requirements, risk, schedule, and budget. An important factor of ISPD is that multiple concepts of operation, widely diverse architectures, and explicitly differentiable designs are inevitable and highly desirable. The entire gamut of interactions of AIS with other posited systems is exposed and examined by the work carried out in each domain. While the ISPD was inspired by the use of SMBT with traditional process models, the essences of ISPD were extracted from developing systems of systems products and services. SMBT was piloted on a one-year project to integrate informational, social, and behavioral exchanges between humans and intelligent systems. This paper introduces SMBT for designing and building AIS by applying ISPD.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123209080","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.2019.8893912
Aaron Cowan, K. Cowan, S. Walsh
This study analyzes the challenges faced by struggling or low-growth economies when they lose highly skilled human capital via the process of "brain drain" or "ability drain." Such losses pose severe potential hazards to technology-based economic development. Factors related to these phenomena are characterized and examined via literature review and mixed methodology analysis to compare and contrast potential ways to manage brain drain and even achieve positive "brain gain" through individual and business-oriented strategies and policy alternatives.
{"title":"Mitigating High-Skill Brain Drain in Low-Growth Economies: An Examination of Existing Brain-Drain Threats in New Mexico and Strategy and Policy Alternative to Address Them","authors":"Aaron Cowan, K. Cowan, S. Walsh","doi":"10.23919/PICMET.2019.8893912","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893912","url":null,"abstract":"This study analyzes the challenges faced by struggling or low-growth economies when they lose highly skilled human capital via the process of \"brain drain\" or \"ability drain.\" Such losses pose severe potential hazards to technology-based economic development. Factors related to these phenomena are characterized and examined via literature review and mixed methodology analysis to compare and contrast potential ways to manage brain drain and even achieve positive \"brain gain\" through individual and business-oriented strategies and policy alternatives.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123258279","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.2019.8893867
J. Joyce, D. McAllen, Abubaker Haddud
The U.S. automotive industry is a critical component of the nation's economic growth because of its use of innovative technologies that provide strategic advantages for business and operational practices. This study focused on electronic supply chain management (e-SCM) in the automotive industry and used two factors, ease of system use (EOU) and perception of organizational usefulness (PU), to investigate its impact on procurement outcomes and the organization's decision to use e-SCM. An online survey was used to gather responses from 144 people employed in supply chain management within the U.S. automotive industry regarding perceptions based on the technology acceptance model (TAM). The results found that two variables, perceptions of organizational usefulness and ease of use, affected the final adoption of e-SCM systems within organizations. The study also found that individual experience and educational level were significant in predicting work outcomes, which are important for supporting continued innovation, sustainability, and industry success. Recommendations for future research include studies in alternative industries, such as agriculture, textiles, pharmaceutical and electronics, using a similar research model and survey instrument, as well as, research in automotive industries in other countries looking for similarities and differences with the U.S. based findings.
{"title":"A Study of Factors in the U.S. Automotive Industry that Influence Use and Procurement Outcomes for Electronic Supply Chain Management (eSCM)","authors":"J. Joyce, D. McAllen, Abubaker Haddud","doi":"10.23919/PICMET.2019.8893867","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893867","url":null,"abstract":"The U.S. automotive industry is a critical component of the nation's economic growth because of its use of innovative technologies that provide strategic advantages for business and operational practices. This study focused on electronic supply chain management (e-SCM) in the automotive industry and used two factors, ease of system use (EOU) and perception of organizational usefulness (PU), to investigate its impact on procurement outcomes and the organization's decision to use e-SCM. An online survey was used to gather responses from 144 people employed in supply chain management within the U.S. automotive industry regarding perceptions based on the technology acceptance model (TAM). The results found that two variables, perceptions of organizational usefulness and ease of use, affected the final adoption of e-SCM systems within organizations. The study also found that individual experience and educational level were significant in predicting work outcomes, which are important for supporting continued innovation, sustainability, and industry success. Recommendations for future research include studies in alternative industries, such as agriculture, textiles, pharmaceutical and electronics, using a similar research model and survey instrument, as well as, research in automotive industries in other countries looking for similarities and differences with the U.S. based findings.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124019823","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.2019.8893893
R. L. Cho, John S. Liu, M. Ho
This study surveys the patents on autonomous vehicles in a systematic and quantitative manner. Autonomous vehicle has been widely discussed recently due to the fast improvement in the related technologies. Aside from investigating the patent owners who are participating in development of autonomous vehicles, we apply main path analysis to uncover the technology developing trajectory. Three major findings are highlighted for further discussion: communication system will be further developed to pursue vehicle-to-everything, the perception technologies will integrate artificial intelligent, and the vehicle makers will cooperate with ICT companies to develop autonomous vehicle. Monitoring these observations may help companies to evaluate their future directions on R&D management, IP management, and business strategy development for autonomous vehicle.
{"title":"Autonomous Vehicle Technology Development: A Patent Survey Based on Main Path Analysis","authors":"R. L. Cho, John S. Liu, M. Ho","doi":"10.23919/PICMET.2019.8893893","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893893","url":null,"abstract":"This study surveys the patents on autonomous vehicles in a systematic and quantitative manner. Autonomous vehicle has been widely discussed recently due to the fast improvement in the related technologies. Aside from investigating the patent owners who are participating in development of autonomous vehicles, we apply main path analysis to uncover the technology developing trajectory. Three major findings are highlighted for further discussion: communication system will be further developed to pursue vehicle-to-everything, the perception technologies will integrate artificial intelligent, and the vehicle makers will cooperate with ICT companies to develop autonomous vehicle. Monitoring these observations may help companies to evaluate their future directions on R&D management, IP management, and business strategy development for autonomous vehicle.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"40 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120872141","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.2019.8893726
Andrew Park, E. Maine
Personalized medicine is a growing subsector within medicine and biotechnology, having become a new subdomain of research within the traditional biotechnology industry. This study aims to identify, classify and analyze the emergence of the personalized medicine innovation ecosystem in British Columbia in order to inform innovation policy. We draw on and contribute to the Innovation Ecosystems and the Open Innovation literatures by examining the emergence of the personalized medicine industry in British Columbia, and the commercialization patterns and strategies of the firms within it. In this paper we identify and study the formation, open innovation mechanisms, financing and value creation of companies with technologies related to personalized medicine. Of the 94 PM firms founded in B.C., 64 are currently active, with 48% in therapeutics, 38% in diagnostics, and 14% in digital health. We find evidence of the importance of the Open Innovation mechanisms of selective revealing and of strategic timing to value creation by personalized medicine ventures.
{"title":"The Emergence of the Personalized Medicine Innovation Ecosystem in British Columbia: Selective Revealing, Strategic Timing and Success","authors":"Andrew Park, E. Maine","doi":"10.23919/PICMET.2019.8893726","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893726","url":null,"abstract":"Personalized medicine is a growing subsector within medicine and biotechnology, having become a new subdomain of research within the traditional biotechnology industry. This study aims to identify, classify and analyze the emergence of the personalized medicine innovation ecosystem in British Columbia in order to inform innovation policy. We draw on and contribute to the Innovation Ecosystems and the Open Innovation literatures by examining the emergence of the personalized medicine industry in British Columbia, and the commercialization patterns and strategies of the firms within it. In this paper we identify and study the formation, open innovation mechanisms, financing and value creation of companies with technologies related to personalized medicine. Of the 94 PM firms founded in B.C., 64 are currently active, with 48% in therapeutics, 38% in diagnostics, and 14% in digital health. We find evidence of the importance of the Open Innovation mechanisms of selective revealing and of strategic timing to value creation by personalized medicine ventures.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115415718","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.2019.8893711
Saeed Alzahrani, A. Alzahrani, Xuran Dai, Wei-Chen Hsu, Rashi Tiwari
Carsharing is a business model of car rentals that allows consumers to benefit from a private vehicle for short periods while being relieved of the costs of the purchase and maintenance. Carsharing is a growing industry and some players are trying to get a hold in the already competitive market. The current transportation market offers consumers many options for buying a vehicle, but fewer practical options for using a vehicle occasionally. Carsharing provides the benefits of allowing easy access to vehicles spread across the city that are rented per an hour or day. It is an increasingly common option for locals and tourists who want to get from one place to another without spending too much time on public transports. These have the added benefit of convenience and comfort of four-wheelers without paying much extra, as in the case of conventional rental cars, taxi, or cabs. This paper uses Hierarchical Decision Model (HDM) to evaluate the factors influencing the selection of the best carsharing alternative around Portland area by analyzing different perspectives and criteria that influence the selection. This paper address which criteria are most important to renters and provide recommendations for renters and carsharing businesses. The findings suggest that most essential criteria for the consumers are insurance coverage, reliability, rental cost, drop-off-options, and gas cost.
{"title":"An Assessment of the Factors Influencing the Selection of the Best Carsharing Alternative in Portland Area Using Hierarchical Decision Modeling (HDM)","authors":"Saeed Alzahrani, A. Alzahrani, Xuran Dai, Wei-Chen Hsu, Rashi Tiwari","doi":"10.23919/PICMET.2019.8893711","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893711","url":null,"abstract":"Carsharing is a business model of car rentals that allows consumers to benefit from a private vehicle for short periods while being relieved of the costs of the purchase and maintenance. Carsharing is a growing industry and some players are trying to get a hold in the already competitive market. The current transportation market offers consumers many options for buying a vehicle, but fewer practical options for using a vehicle occasionally. Carsharing provides the benefits of allowing easy access to vehicles spread across the city that are rented per an hour or day. It is an increasingly common option for locals and tourists who want to get from one place to another without spending too much time on public transports. These have the added benefit of convenience and comfort of four-wheelers without paying much extra, as in the case of conventional rental cars, taxi, or cabs. This paper uses Hierarchical Decision Model (HDM) to evaluate the factors influencing the selection of the best carsharing alternative around Portland area by analyzing different perspectives and criteria that influence the selection. This paper address which criteria are most important to renters and provide recommendations for renters and carsharing businesses. The findings suggest that most essential criteria for the consumers are insurance coverage, reliability, rental cost, drop-off-options, and gas cost.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131671371","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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