Pub Date : 2018-06-01DOI: 10.1109/TEMSCON.2018.8488388
T. Durrani, S. Forbes
This paper explores the new wave of policy changes being introduced under the umbrella of ‘industrial strategies' by governments in key industrialized countries, aimed at maintaining a competitive advantage in different industrial sectors; some brought about by change in circumstances, such as Brexit in the UK; others, for instance Industry 4.0 in Germany to maintain its lead in a raft of industry sectors, including the automotive industry; and Japan - as a vehicle to move out of a decade of stagnation; or in Canada, as a means exploiting Artificial Intelligence for enhancing industry progress, and way to support growth in Indigenous People. In other cases, as in the US, there is a denial that a country is pursuing a policy instrument that comprise an industrial strategy, and leaving it to industry to achieve success on its own Using the World Economic Forum Global Competitiveness Report 2016–2017 as a benchmark, a presentation will be made on the different approaches being taken by the UK, Germany, Canada, Japan and the US. This paper will then draw conclusions on the success, or otherwise, of the industry strategies being adopted by the different nations.
{"title":"Industrial Strategy: Myth or Reality","authors":"T. Durrani, S. Forbes","doi":"10.1109/TEMSCON.2018.8488388","DOIUrl":"https://doi.org/10.1109/TEMSCON.2018.8488388","url":null,"abstract":"This paper explores the new wave of policy changes being introduced under the umbrella of ‘industrial strategies' by governments in key industrialized countries, aimed at maintaining a competitive advantage in different industrial sectors; some brought about by change in circumstances, such as Brexit in the UK; others, for instance Industry 4.0 in Germany to maintain its lead in a raft of industry sectors, including the automotive industry; and Japan - as a vehicle to move out of a decade of stagnation; or in Canada, as a means exploiting Artificial Intelligence for enhancing industry progress, and way to support growth in Indigenous People. In other cases, as in the US, there is a denial that a country is pursuing a policy instrument that comprise an industrial strategy, and leaving it to industry to achieve success on its own Using the World Economic Forum Global Competitiveness Report 2016–2017 as a benchmark, a presentation will be made on the different approaches being taken by the UK, Germany, Canada, Japan and the US. This paper will then draw conclusions on the success, or otherwise, of the industry strategies being adopted by the different nations.","PeriodicalId":346867,"journal":{"name":"2018 IEEE Technology and Engineering Management Conference (TEMSCON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117120337","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 : 2018-06-01DOI: 10.1109/TEMSCON.2018.8488426
Marco Cuvero, R. Evans, M. Granados, A. Pilkington
Entrepreneurship continues to be of the utmost importance in terms of national economic and industrial development. The formation of new companies (start-ups) encourages the creation of employment which in turn boosts economic activity. This growth, however, requires constant innovation within the start-ups. It is recognized that the process of innovation development is affected by a start-up‘s ability to capture knowledge spillovers which depends upon both external and internal factors. This paper proposes a conceptual model based on knowledge spillovers and their influence on the capture of new knowledge and its transformation into economic knowledge. We introduce and discuss various definitions, debating knowledge spillover theory, to provide a model based on classifications of cognitive and geographical proximity. Further discussion is provided against the product conceptualization process for start-ups.
{"title":"A Knowledge Spillover-based Approach to New Product Conceptualization","authors":"Marco Cuvero, R. Evans, M. Granados, A. Pilkington","doi":"10.1109/TEMSCON.2018.8488426","DOIUrl":"https://doi.org/10.1109/TEMSCON.2018.8488426","url":null,"abstract":"Entrepreneurship continues to be of the utmost importance in terms of national economic and industrial development. The formation of new companies (start-ups) encourages the creation of employment which in turn boosts economic activity. This growth, however, requires constant innovation within the start-ups. It is recognized that the process of innovation development is affected by a start-up‘s ability to capture knowledge spillovers which depends upon both external and internal factors. This paper proposes a conceptual model based on knowledge spillovers and their influence on the capture of new knowledge and its transformation into economic knowledge. We introduce and discuss various definitions, debating knowledge spillover theory, to provide a model based on classifications of cognitive and geographical proximity. Further discussion is provided against the product conceptualization process for start-ups.","PeriodicalId":346867,"journal":{"name":"2018 IEEE Technology and Engineering Management Conference (TEMSCON)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131686262","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 : 2018-06-01DOI: 10.1109/TEMSCON.2018.8488436
Lee Chuan-Kai, Ma Yu-Hsin
Differentiation is important to business competition, particularly when value propositions, technologies, and markets are converging to blur the boundaries between industries and create new hybridized segments at their intersections. Convergence from new technologies presents new packages of performance attributes and for underserved or non-consumers implies new sets of value propositions, allowing both challengers and disruptors to create new markets ignored or untapped by their competitors. Taking nutraceuticals as an example, this paper uses a case study to investigate differentiation under convergence of the food, biotechnology, and pharmaceutical industries. We study a startup in Taiwan, GWOXI, to examine how it took advantage of the convergence of technologies from the supply side, and that of markets from the demand side, to differentiate and defend itself against incumbents and other new entrants. As opposed to previous works that put more emphasis on the attributes of products themselves, we pay special attention to legitimating strategies that affect consumers' perceptions of product attributes. We propose three legitimating strategies - theorization, authorization, and validation - which are instructive for new product development and marketing in the nutraceuticals industry in particular and in other converged industries in general.
{"title":"Legitimating strategies for differentiation in the red ocean of nutraceuticals","authors":"Lee Chuan-Kai, Ma Yu-Hsin","doi":"10.1109/TEMSCON.2018.8488436","DOIUrl":"https://doi.org/10.1109/TEMSCON.2018.8488436","url":null,"abstract":"Differentiation is important to business competition, particularly when value propositions, technologies, and markets are converging to blur the boundaries between industries and create new hybridized segments at their intersections. Convergence from new technologies presents new packages of performance attributes and for underserved or non-consumers implies new sets of value propositions, allowing both challengers and disruptors to create new markets ignored or untapped by their competitors. Taking nutraceuticals as an example, this paper uses a case study to investigate differentiation under convergence of the food, biotechnology, and pharmaceutical industries. We study a startup in Taiwan, GWOXI, to examine how it took advantage of the convergence of technologies from the supply side, and that of markets from the demand side, to differentiate and defend itself against incumbents and other new entrants. As opposed to previous works that put more emphasis on the attributes of products themselves, we pay special attention to legitimating strategies that affect consumers' perceptions of product attributes. We propose three legitimating strategies - theorization, authorization, and validation - which are instructive for new product development and marketing in the nutraceuticals industry in particular and in other converged industries in general.","PeriodicalId":346867,"journal":{"name":"2018 IEEE Technology and Engineering Management Conference (TEMSCON)","volume":"43 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128058525","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 : 2018-06-01DOI: 10.1109/TEMSCON.2018.8488397
C. Griffy-Brown, Demetrios Lazarikos, M. Chun
Cloud computing and the Internet of Things (IoT) have transformed businesses, enabling agile and cost-effective IT infrastructure. Both create new opportunities for entrepreneurial businesses and disruptive business models enabling growth. The challenge is that these new opportunities create a co-mingled architecture which is difficult to secure. The complexity of this architecture is magnified with the IoT. Based on interviews with executive leadership teams and boards of directors facing these new environments, we developed the over-arching research question: How do we secure increasingly dynamic architecture in an environment while supporting and creating agile business growth? We then narrowed this down to more specific questions dealt with in this study. The research involved an in-depth exploration of this problem using a survey instrument and multiple qualitative methods involving business leaders from 59 companies between 2017–2018. Based on this analysis, we developed an information security framework for executives in this new environment that builds on previous work. This framework is called the Extended Risk-Based Approach and provides businesses with an approach for securing an enterprise amidst the IoT and agile architecture. Importantly, the data analyzed suggests that this approach is critically needed to address the rapidly growing complexity of enterprise architecture and the digital world we live and work.
{"title":"Agile Business Growth and Cyber Risk:","authors":"C. Griffy-Brown, Demetrios Lazarikos, M. Chun","doi":"10.1109/TEMSCON.2018.8488397","DOIUrl":"https://doi.org/10.1109/TEMSCON.2018.8488397","url":null,"abstract":"Cloud computing and the Internet of Things (IoT) have transformed businesses, enabling agile and cost-effective IT infrastructure. Both create new opportunities for entrepreneurial businesses and disruptive business models enabling growth. The challenge is that these new opportunities create a co-mingled architecture which is difficult to secure. The complexity of this architecture is magnified with the IoT. Based on interviews with executive leadership teams and boards of directors facing these new environments, we developed the over-arching research question: How do we secure increasingly dynamic architecture in an environment while supporting and creating agile business growth? We then narrowed this down to more specific questions dealt with in this study. The research involved an in-depth exploration of this problem using a survey instrument and multiple qualitative methods involving business leaders from 59 companies between 2017–2018. Based on this analysis, we developed an information security framework for executives in this new environment that builds on previous work. This framework is called the Extended Risk-Based Approach and provides businesses with an approach for securing an enterprise amidst the IoT and agile architecture. Importantly, the data analyzed suggests that this approach is critically needed to address the rapidly growing complexity of enterprise architecture and the digital world we live and work.","PeriodicalId":346867,"journal":{"name":"2018 IEEE Technology and Engineering Management Conference (TEMSCON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128909829","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 : 2018-06-01DOI: 10.1109/TEMSCON.2018.8488417
A. Dweekat, R. Al-Aomar
This paper presents a framework of smart real-time performance monitoring and controlling of next-generation supply chains. It is based on enabling a set of Internet-of- Things (IoT) functions across the supply chain for dynamic and intelligent information processing and performance management. This is realized through the utilization of IoT technology in conjunction with workflow modeling to address the dynamic aspects of supply chain in a real-time environment. The proposed mechanism is referred to as Dynamic Supply Chain Performance Management (DSCPM) which is a computerized event-driven system that runs in real-time, monitors a set of selected supply chain performance measures, and effectively enables real-time decision-making. DSCPM functionality is based on the concepts of Complex Event Processing (CEP) to manage the massive event-instances across the supply chain and to convert them into beneficial information. Adopting DSCPM is expected to facilitate realtime corrective actions that reduce wastes and costs and maximize value across the supply chain.
{"title":"An IoT-Enabled Framework for Dynamic Supply Chain Performance Management","authors":"A. Dweekat, R. Al-Aomar","doi":"10.1109/TEMSCON.2018.8488417","DOIUrl":"https://doi.org/10.1109/TEMSCON.2018.8488417","url":null,"abstract":"This paper presents a framework of smart real-time performance monitoring and controlling of next-generation supply chains. It is based on enabling a set of Internet-of- Things (IoT) functions across the supply chain for dynamic and intelligent information processing and performance management. This is realized through the utilization of IoT technology in conjunction with workflow modeling to address the dynamic aspects of supply chain in a real-time environment. The proposed mechanism is referred to as Dynamic Supply Chain Performance Management (DSCPM) which is a computerized event-driven system that runs in real-time, monitors a set of selected supply chain performance measures, and effectively enables real-time decision-making. DSCPM functionality is based on the concepts of Complex Event Processing (CEP) to manage the massive event-instances across the supply chain and to convert them into beneficial information. Adopting DSCPM is expected to facilitate realtime corrective actions that reduce wastes and costs and maximize value across the supply chain.","PeriodicalId":346867,"journal":{"name":"2018 IEEE Technology and Engineering Management Conference (TEMSCON)","volume":"299 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132418012","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 : 2018-06-01DOI: 10.1109/TEMSCON.2018.8488412
G. Schuh, C. Dölle, Christian Tönnes
Today's manufacturing companies are facing the influences of a dynamic environment due to new technologies, unstable markets as well as unknown political influences. The influences of those factors combined with the effort of reducing the time to market and a more efficient product development requires many decisions and therefore analyses on the management level especially within the engineering department. Most companies store a unique set of information regarding their markets, customers, products and operation systems in numerous databases. That data basis can deliver a valuable insight for supporting decisions and planning activities. Even though the concept of creating a multi-perspective and database overarching information model of products or production systems is discussed since the conception of digital twins, most companies are lacking such an approach. Instead of developing an additional database, which contains all existing information, a methodology for setting up a digital shadow is proposed. Such a model is collecting and merging selected information from existing databases in order to enable real-time data analytics of information that cannot be linked directly due to inconsistency, lack of assignability or lack of transparency. This paper introduces a methodology on how to overcome the described obstacles and how to systematically derive an information model for engineering management, called digital shadow. At first, a framework is set up to identify the individual implementation objectives of a digital shadow. Based on an assignment to certain objectives, different perspectives on the product are derived in order to focus on business environments that require detailed information. Third, the required information are identified systematically and their relations are described. Each business environment represents a system of information in the perspective of a certain stakeholder. In parallel, the existing databases and sources of information are screened. Therefore, the structure is described and evaluated for its utilization within the digital shadow. Finally, the information system is mapped to the structure of existing databases to derive the optimal information structure design for the digital shadow.
{"title":"Methodology for the derivation of a digital shadow for engineering management","authors":"G. Schuh, C. Dölle, Christian Tönnes","doi":"10.1109/TEMSCON.2018.8488412","DOIUrl":"https://doi.org/10.1109/TEMSCON.2018.8488412","url":null,"abstract":"Today's manufacturing companies are facing the influences of a dynamic environment due to new technologies, unstable markets as well as unknown political influences. The influences of those factors combined with the effort of reducing the time to market and a more efficient product development requires many decisions and therefore analyses on the management level especially within the engineering department. Most companies store a unique set of information regarding their markets, customers, products and operation systems in numerous databases. That data basis can deliver a valuable insight for supporting decisions and planning activities. Even though the concept of creating a multi-perspective and database overarching information model of products or production systems is discussed since the conception of digital twins, most companies are lacking such an approach. Instead of developing an additional database, which contains all existing information, a methodology for setting up a digital shadow is proposed. Such a model is collecting and merging selected information from existing databases in order to enable real-time data analytics of information that cannot be linked directly due to inconsistency, lack of assignability or lack of transparency. This paper introduces a methodology on how to overcome the described obstacles and how to systematically derive an information model for engineering management, called digital shadow. At first, a framework is set up to identify the individual implementation objectives of a digital shadow. Based on an assignment to certain objectives, different perspectives on the product are derived in order to focus on business environments that require detailed information. Third, the required information are identified systematically and their relations are described. Each business environment represents a system of information in the perspective of a certain stakeholder. In parallel, the existing databases and sources of information are screened. Therefore, the structure is described and evaluated for its utilization within the digital shadow. Finally, the information system is mapped to the structure of existing databases to derive the optimal information structure design for the digital shadow.","PeriodicalId":346867,"journal":{"name":"2018 IEEE Technology and Engineering Management Conference (TEMSCON)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125318141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：