Pub Date : 2019-08-01DOI: 10.23919/PICMET.2019.8893755
Amir Shaygan, T. Daim
Maturity Models are organizational management tools that have been developed and used for decades as organizations' way of responding to the constant pressure of trying to achieve and maintain competitive advantage through concurrent innovation, quality improvement, and cost reduction. The decision makers in the healthcare industry have been no exception in reaping the benefits of determining the merits and weaknesses of strategies through systematic quality improvement provided by maturity models. Although there are many healthcare maturity models in literature, there is a lack of models that provides managers and decision makers with a systematic, multi-criteria, and quantifiable maturity model. This paper proposes an exploratory model to assess technology management maturity in healthcare organizations by using Hierarchical Decision Model (HDM). The model may help health organizations with pinpointing their strengths and weaknesses in the adoption and implementation of new technologies and technological approaches such as Learning Health Systems (LHS) and their socio-technical infrastructure, while giving them organizational and competitive self-awareness and guide them in setting their strategies and resource allocation. The model will serve as a much-needed technology management tool for hospitals to assess their technology management maturity for both public and organization's advantage in a more effective way.
{"title":"Technology Management Maturity Assessment Model: An Exploratory Multi-Criteria Approach for Healthcare Organizations","authors":"Amir Shaygan, T. Daim","doi":"10.23919/PICMET.2019.8893755","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893755","url":null,"abstract":"Maturity Models are organizational management tools that have been developed and used for decades as organizations' way of responding to the constant pressure of trying to achieve and maintain competitive advantage through concurrent innovation, quality improvement, and cost reduction. The decision makers in the healthcare industry have been no exception in reaping the benefits of determining the merits and weaknesses of strategies through systematic quality improvement provided by maturity models. Although there are many healthcare maturity models in literature, there is a lack of models that provides managers and decision makers with a systematic, multi-criteria, and quantifiable maturity model. This paper proposes an exploratory model to assess technology management maturity in healthcare organizations by using Hierarchical Decision Model (HDM). The model may help health organizations with pinpointing their strengths and weaknesses in the adoption and implementation of new technologies and technological approaches such as Learning Health Systems (LHS) and their socio-technical infrastructure, while giving them organizational and competitive self-awareness and guide them in setting their strategies and resource allocation. The model will serve as a much-needed technology management tool for hospitals to assess their technology management maturity for both public and organization's advantage in a more effective way.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"38 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":"125131247","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.2019.8893845
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":"19 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":"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":"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":"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.2019.8893970
M. M. Moreno, Sérgio Luis da Silva
Research and Technology Organizations (RTOs) are significant elements for National Innovation Systems (NISs), with the potential of articulating different actors for social and technological development. Although RTOs are not so often identified in innovation ecosystem studies, the literature points out difficulties in their managerial processes, especially for institutions in developing countries. Thus, this research objective is to systematically analyze the literature aiming at a better understanding about the integration between processes and resources of existing management models for RTOs as an opportunity to identify gaps and to define possible fronts of interventions. It seeks to make explicit, in a broader way, aspects that can subsidize the operationalization of NISs in developing countries. The systematic literature review was carried out from the Web of Science (WoS) and the Scopus databases and evidenced contributions related to the dynamics of the management models adopted. In spite of the unfolding in practices and structures that may favor the effectiveness of research, development and innovation (RD&I), the identified models address only specific areas of management, which opens up opportunities for conducting studies that explore the systemic management of RD&I in RTOs, among other deployments.
研究和技术组织(RTOs)是国家创新系统(NISs)的重要组成部分，具有阐明社会和技术发展的不同行动者的潜力。虽然在创新生态系统研究中并不经常发现rto，但文献指出了其管理过程中的困难，特别是对发展中国家的机构而言。因此，本研究的目的是系统地分析文献，旨在更好地理解现有rto管理模式的流程和资源之间的整合，以此为契机识别差距并确定可能的干预措施。它力求以更广泛的方式明确说明可以补贴发展中国家国家信息系统运作的各个方面。通过对Web of Science (WoS)和Scopus数据库进行系统文献综述，发现与所采用的管理模式的动态相关的证据贡献。尽管实践和结构的发展可能有利于研究、开发和创新(RD&I)的有效性，但所确定的模型只涉及特定的管理领域，这为开展研究探索rto中RD&I的系统管理以及其他部署提供了机会。
{"title":"Research and Technology Organizations and Management Models: A Systematic Literature Review","authors":"M. M. Moreno, Sérgio Luis da Silva","doi":"10.23919/PICMET.2019.8893970","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893970","url":null,"abstract":"Research and Technology Organizations (RTOs) are significant elements for National Innovation Systems (NISs), with the potential of articulating different actors for social and technological development. Although RTOs are not so often identified in innovation ecosystem studies, the literature points out difficulties in their managerial processes, especially for institutions in developing countries. Thus, this research objective is to systematically analyze the literature aiming at a better understanding about the integration between processes and resources of existing management models for RTOs as an opportunity to identify gaps and to define possible fronts of interventions. It seeks to make explicit, in a broader way, aspects that can subsidize the operationalization of NISs in developing countries. The systematic literature review was carried out from the Web of Science (WoS) and the Scopus databases and evidenced contributions related to the dynamics of the management models adopted. In spite of the unfolding in practices and structures that may favor the effectiveness of research, development and innovation (RD&I), the identified models address only specific areas of management, which opens up opportunities for conducting studies that explore the systemic management of RD&I in RTOs, among other deployments.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"53 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":"116981026","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.2019.8893897
Saeed Alzahrani, T. Daim
In the recent years, there has been a massive attention toward cryptocurrency. The development of the blockchain technology has enabled the cryptocurrency to invade the financial industry by providing, to some extent, an alternative banking system with extra benefits such as lower cost of transaction, faster transaction processing, and higher level of privacy. Bitcoin is the first completely decentralized digital currency to exist in the cryptocurrency market. People have adopted cryptocurrency for several reasons. This adoption is a purchasing decision where the users make the adoption decision based on set of factors that matter to them. This paper aims at evaluating the factors impacting the cryptocurrency adoption decision. To do so, we have identified the factors that the users consider when making the purchasing decision based on a comprehensive review of recent literature and expert's inputs. The objectives of the paper are to: (1) identify the factors impacting the adoption decision, (2) and determine the ranking of these factors based on the quantification of users' judgments. This paper proposes a Hierarchical Decision Model (HDM) to understand the users' decision to adopt cryptocurrency. The model suggests four main perspectives that influence the adoption decision namely: economic, technical, social, and personal. Every perspective consists of set of related criteria. We then used the pairwise comparison method to assess the importance of the perspectives and criteria to the overall objective of the model. The findings of this study suggest that users evaluate and make their decision mostly from economic and social perspectives. The top criteria found to influence the cryptocurrency adoption decision are the investment opportunity, subjective norms, businesses acceptance, privacy, and global attention. This paper provides insights into the factors impacting the adoption decision and their importance level. It also helps the cryptocurrency developers to understand the consumers' adoption criteria to encourage cryptocurrency adoption.
{"title":"Evaluation of the Cryptocurrency Adoption Decision Using Hierarchical Decision Modeling (HDM)","authors":"Saeed Alzahrani, T. Daim","doi":"10.23919/PICMET.2019.8893897","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893897","url":null,"abstract":"In the recent years, there has been a massive attention toward cryptocurrency. The development of the blockchain technology has enabled the cryptocurrency to invade the financial industry by providing, to some extent, an alternative banking system with extra benefits such as lower cost of transaction, faster transaction processing, and higher level of privacy. Bitcoin is the first completely decentralized digital currency to exist in the cryptocurrency market. People have adopted cryptocurrency for several reasons. This adoption is a purchasing decision where the users make the adoption decision based on set of factors that matter to them. This paper aims at evaluating the factors impacting the cryptocurrency adoption decision. To do so, we have identified the factors that the users consider when making the purchasing decision based on a comprehensive review of recent literature and expert's inputs. The objectives of the paper are to: (1) identify the factors impacting the adoption decision, (2) and determine the ranking of these factors based on the quantification of users' judgments. This paper proposes a Hierarchical Decision Model (HDM) to understand the users' decision to adopt cryptocurrency. The model suggests four main perspectives that influence the adoption decision namely: economic, technical, social, and personal. Every perspective consists of set of related criteria. We then used the pairwise comparison method to assess the importance of the perspectives and criteria to the overall objective of the model. The findings of this study suggest that users evaluate and make their decision mostly from economic and social perspectives. The top criteria found to influence the cryptocurrency adoption decision are the investment opportunity, subjective norms, businesses acceptance, privacy, and global attention. This paper provides insights into the factors impacting the adoption decision and their importance level. It also helps the cryptocurrency developers to understand the consumers' adoption criteria to encourage cryptocurrency adoption.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"21 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":"115659517","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.2019.8893878
A. Magazinik, S. Mäkinen, N. C. Lasheras, J. S. Bedolla, Ulla A. Saari
Relationships and collaborations between scientific research and industry play an essential role in sustaining innovation development in society. Therefore, different types of models have been developed to refer to a set of interaction channels, mechanism and forms of linkage between academia and industry. The studies highlight enhancing and diminishing factors of collaboration management, practices on knowledge interactions and collaborative relationships on various levels depending on considered industrial sectors. This review establishes the state of current knowledge in the field and classifies key metrics and indicators for evaluation of scientific research-industry collaboration linkages.
{"title":"Research-Industry Collaboration: A Review of the Literature on Evaluation Methods and Motivations","authors":"A. Magazinik, S. Mäkinen, N. C. Lasheras, J. S. Bedolla, Ulla A. Saari","doi":"10.23919/PICMET.2019.8893878","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893878","url":null,"abstract":"Relationships and collaborations between scientific research and industry play an essential role in sustaining innovation development in society. Therefore, different types of models have been developed to refer to a set of interaction channels, mechanism and forms of linkage between academia and industry. The studies highlight enhancing and diminishing factors of collaboration management, practices on knowledge interactions and collaborative relationships on various levels depending on considered industrial sectors. This review establishes the state of current knowledge in the field and classifies key metrics and indicators for evaluation of scientific research-industry collaboration linkages.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"16 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":"125350795","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.2019.8893804
T. Schumacher
A review of the innovation literature uncovered more than 20 separate models, each describing facets of innovation. There are few cross references among these publications, they are scattered across Marketing, Strategy, and Operations literatures. This paper summarizes key attributes of some of these models, creating a compendium of key of managerial practices and recommendations.
{"title":"An Innovation Framework for Innovation Management","authors":"T. Schumacher","doi":"10.23919/PICMET.2019.8893804","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893804","url":null,"abstract":"A review of the innovation literature uncovered more than 20 separate models, each describing facets of innovation. There are few cross references among these publications, they are scattered across Marketing, Strategy, and Operations literatures. This paper summarizes key attributes of some of these models, creating a compendium of key of managerial practices and recommendations.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"39 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":"121349722","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.2019.8893743
F. Xie
Based on the complex collaboration model and entropy concept in triple helix model, this paper gives out a new concept of collaboration degree of Industry-University-Research, constructs an improved model to measure this degree, and studies collaboration between participators and the innovative environment, trying to understand whether and how these factors influence the regional innovative output. Using the method of regression analysis, this paper examines the influences of collaboration degree of Industry-University-Research and innovative environment on regional innovative output based on Chinese data. The findings show that the effect of collaboration degree is significant. However, with the help of environment, the effect can be quite different. Both political and technology medium environment can reduce these influences, infrastructure environment can strengthen the influence while the humanistic environment has no significant impact. In the end, some suggestions to improve Chinese regional innovative output are put forward.
{"title":"The Impact of Industry-University-Research Collaboration on Regional Innovative Output","authors":"F. Xie","doi":"10.23919/PICMET.2019.8893743","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893743","url":null,"abstract":"Based on the complex collaboration model and entropy concept in triple helix model, this paper gives out a new concept of collaboration degree of Industry-University-Research, constructs an improved model to measure this degree, and studies collaboration between participators and the innovative environment, trying to understand whether and how these factors influence the regional innovative output. Using the method of regression analysis, this paper examines the influences of collaboration degree of Industry-University-Research and innovative environment on regional innovative output based on Chinese data. The findings show that the effect of collaboration degree is significant. However, with the help of environment, the effect can be quite different. Both political and technology medium environment can reduce these influences, infrastructure environment can strengthen the influence while the humanistic environment has no significant impact. In the end, some suggestions to improve Chinese regional innovative output are put forward.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"12 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":"124387152","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.2019.8893952
Huang-Fu Chen, M. Bauer, Deng Dasheng, L. Kang
Based on the data of the 4th National S&T Workers Condition Survey, we explored the perceptions of Chinese S&T workers about the academic environment, including the convenience, satisfaction and overall quality of the academic environment. And compare the different perceptions of S&T workers with different attributes, and provide research support for the future optimization of academic environment.
{"title":"Research on the Chinese S&T Workers' Perceptions of Academic Environment: Based on the National S&T Workers Condition Survey","authors":"Huang-Fu Chen, M. Bauer, Deng Dasheng, L. Kang","doi":"10.23919/PICMET.2019.8893952","DOIUrl":"https://doi.org/10.23919/PICMET.2019.8893952","url":null,"abstract":"Based on the data of the 4th National S&T Workers Condition Survey, we explored the perceptions of Chinese S&T workers about the academic environment, including the convenience, satisfaction and overall quality of the academic environment. And compare the different perceptions of S&T workers with different attributes, and provide research support for the future optimization of academic environment.","PeriodicalId":390110,"journal":{"name":"2019 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"1967 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":"128036721","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":"56 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":"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}
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