Pub Date : 2024-11-11DOI: 10.1109/TEM.2024.3495992
Klaus Ulrich;Domingo Ribeiro-Soriano;Francisco Javier García-Isla
Initial coin offerings (ICOs) have emerged as a modern alternative financing instrument capable of connecting economic agents, entrepreneurs, and investors from all over the world. The benefits of blockchain technology in terms of privacy, security, and immutability make these financing tools particularly attractive. In this article, we analyze ICOs through the world's largest global database of ICOs. The analysis has been carried out through fsQCA methodology to a sample of 75 projects funded through this funding tool and aims to answer what are the possible ways to achieve success in fundraising in an ICO. The results shed light on the importance of financial factors, such as the risk of the operation, but also related to communication and user communities for the success or failure of these campaigns. The aim of this article is to provide entrepreneurs with a tool to help them plan their ICOs, develop them in a suitable way to attract the largest amount of funds, and mobilize investors’ resources, achieving a synergy between the entrepreneur and the investor, with impactful, innovative, and profitable projects. It is also intended to contribute to the academic development of the subject with comparative qualitative studies.
{"title":"Initial Coin Offerings as a Contemporary Financing Alternative: Successful Ways to Raise Funds","authors":"Klaus Ulrich;Domingo Ribeiro-Soriano;Francisco Javier García-Isla","doi":"10.1109/TEM.2024.3495992","DOIUrl":"https://doi.org/10.1109/TEM.2024.3495992","url":null,"abstract":"Initial coin offerings (ICOs) have emerged as a modern alternative financing instrument capable of connecting economic agents, entrepreneurs, and investors from all over the world. The benefits of blockchain technology in terms of privacy, security, and immutability make these financing tools particularly attractive. In this article, we analyze ICOs through the world's largest global database of ICOs. The analysis has been carried out through fsQCA methodology to a sample of 75 projects funded through this funding tool and aims to answer what are the possible ways to achieve success in fundraising in an ICO. The results shed light on the importance of financial factors, such as the risk of the operation, but also related to communication and user communities for the success or failure of these campaigns. The aim of this article is to provide entrepreneurs with a tool to help them plan their ICOs, develop them in a suitable way to attract the largest amount of funds, and mobilize investors’ resources, achieving a synergy between the entrepreneur and the investor, with impactful, innovative, and profitable projects. It is also intended to contribute to the academic development of the subject with comparative qualitative studies.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15585-15594"},"PeriodicalIF":4.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142821172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1109/TEM.2024.3495655
Junwan Liu;Zining Cui;Shuo Xu;Xiaofei Guo;Zhixin Long
Given the significance of technology convergence for innovation and launching new products, accurately predicting technology convergence is critical to the pursuit of technological innovation. Although previous studies have been proposed to predict technology convergence, the framework using single-layer international patent classification (IPC) networks neglects the potential connections between components. This issue leads to the prediction that IPC nodes in separate components will not overlap. This study utilizes IPC, patentee, and topic information to construct a technology supernetwork model consisting of “Topic-IPC-Patentee” three layers, aiming to overcome the issue of IPCs located in different components being unable to connect. Based on the supernetwork, we adopt a link prediction method based on superedge similarity to predict the technology convergence and a case analysis on the field of gene editing is conducted. According to experimental results, we observe that the technology supernetwork model can effectively predict the convergence of gene editing technologies, demonstrating robust predictive performance. The main contribution of this research is to provide a methodology that accurately predicts technology convergence, which can help firms deploy their research and development (R&D) strategies, policymakers develop insightful policies, and investors capitalize high-value projects.
{"title":"Prediction of Technology Convergence on the Basis of Supernetwork","authors":"Junwan Liu;Zining Cui;Shuo Xu;Xiaofei Guo;Zhixin Long","doi":"10.1109/TEM.2024.3495655","DOIUrl":"https://doi.org/10.1109/TEM.2024.3495655","url":null,"abstract":"Given the significance of technology convergence for innovation and launching new products, accurately predicting technology convergence is critical to the pursuit of technological innovation. Although previous studies have been proposed to predict technology convergence, the framework using single-layer international patent classification (IPC) networks neglects the potential connections between components. This issue leads to the prediction that IPC nodes in separate components will not overlap. This study utilizes IPC, patentee, and topic information to construct a technology supernetwork model consisting of “Topic-IPC-Patentee” three layers, aiming to overcome the issue of IPCs located in different components being unable to connect. Based on the supernetwork, we adopt a link prediction method based on superedge similarity to predict the technology convergence and a case analysis on the field of gene editing is conducted. According to experimental results, we observe that the technology supernetwork model can effectively predict the convergence of gene editing technologies, demonstrating robust predictive performance. The main contribution of this research is to provide a methodology that accurately predicts technology convergence, which can help firms deploy their research and development (R&D) strategies, policymakers develop insightful policies, and investors capitalize high-value projects.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15438-15452"},"PeriodicalIF":4.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-11DOI: 10.1109/TEM.2024.3495496
Wei Zhou;Shuke Wang;Jin Chen
To promote and achieve innovations, crowdfunding projects have emerged as a novel tool for attracting financial support for scientific research. However, before initiating a crowdfunding campaign, only the project's presentation and contractual terms can be disclosed, and then reasonable judgment and evaluation are important to make an informed investment decision regarding the crowdfunding project. To do this, this article introduces the probabilistic hesitant fuzzy set (PHFS) into the evaluation process and proposes the probabilistic hesitant recursive neural network (PH-RNN). The PH-RNN represents an innovative approach within the realm of hesitant deep learning, employing PHFS to comprehensively articulate subjective cognitive insights. Subsequently, diverse descriptions can be meticulously considered in the default identification process, thereby facilitating the precise identification of potential defaults for scientific crowdfunding projects. In this modeling process, a data processing layer for the PH-RNN is developed, which can effectively integrate the probabilistic hesitant fuzzy information. Moreover, a default recognition algorithm is further designed to address the complexities of deep learning in conjunction with the PHFS. Conclusively, an empirical study conducted on the scientific crowdfunding platform “Experiment” is presented to demonstrate the proposed models and process.
{"title":"Default Identification of Scientific Crowdfunding Projects: A Hesitant Fuzzy Deep Learning Approach","authors":"Wei Zhou;Shuke Wang;Jin Chen","doi":"10.1109/TEM.2024.3495496","DOIUrl":"https://doi.org/10.1109/TEM.2024.3495496","url":null,"abstract":"To promote and achieve innovations, crowdfunding projects have emerged as a novel tool for attracting financial support for scientific research. However, before initiating a crowdfunding campaign, only the project's presentation and contractual terms can be disclosed, and then reasonable judgment and evaluation are important to make an informed investment decision regarding the crowdfunding project. To do this, this article introduces the probabilistic hesitant fuzzy set (PHFS) into the evaluation process and proposes the probabilistic hesitant recursive neural network (PH-RNN). The PH-RNN represents an innovative approach within the realm of hesitant deep learning, employing PHFS to comprehensively articulate subjective cognitive insights. Subsequently, diverse descriptions can be meticulously considered in the default identification process, thereby facilitating the precise identification of potential defaults for scientific crowdfunding projects. In this modeling process, a data processing layer for the PH-RNN is developed, which can effectively integrate the probabilistic hesitant fuzzy information. Moreover, a default recognition algorithm is further designed to address the complexities of deep learning in conjunction with the PHFS. Conclusively, an empirical study conducted on the scientific crowdfunding platform “Experiment” is presented to demonstrate the proposed models and process.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15453-15464"},"PeriodicalIF":4.6,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article investigates the pivotal role of Industry 4.0 (I4.0) process management (PM) in leveraging human resources (HR) and operational processes to align with strategic objectives and organizational structures, ultimately achieving competitive advantage. This article targeted small- and medium-sized enterprises (SMEs) in the manufacturing and service sectors in Istanbul, Turkey. Using a simple random sampling technique, we invited 475 firms to participate in a survey, yielding 207 usable responses. The data analysis was conducted in three stages: descriptive statistical analysis to illustrate the characteristics of the participating companies and respondents; confirmatory factor analysis to test the measurement models and ensure they fit the data; and causal analysis to evaluate the hypothesized relationships among the study's constructs. The findings reveal that PM serves as a critical mediator role in the successful implementation of I4.0. Specifically, the article identifies three primary goals in the I4.0 adoption process: strategic improvement, competitiveness, and organizational fit. Effective PM impacts these objectives through two major areas: HR and operations. This article highlights how I4.0 PM can act as a catalyst in the digital transformation of SMEs, ensuring that HR and operations are effectively harnessed to drive strategic change and organizational adaptation, and enhanced competitiveness.
{"title":"The Critical Mediator Role of Process Management for Effective Industry 4.0 Implementation in SMEs","authors":"Eyup Kahveci;Arzu Karaman Akgul;Tugrul Daim;Dirk Meissner","doi":"10.1109/TEM.2024.3494535","DOIUrl":"https://doi.org/10.1109/TEM.2024.3494535","url":null,"abstract":"This article investigates the pivotal role of Industry 4.0 (I4.0) process management (PM) in leveraging human resources (HR) and operational processes to align with strategic objectives and organizational structures, ultimately achieving competitive advantage. This article targeted small- and medium-sized enterprises (SMEs) in the manufacturing and service sectors in Istanbul, Turkey. Using a simple random sampling technique, we invited 475 firms to participate in a survey, yielding 207 usable responses. The data analysis was conducted in three stages: descriptive statistical analysis to illustrate the characteristics of the participating companies and respondents; confirmatory factor analysis to test the measurement models and ensure they fit the data; and causal analysis to evaluate the hypothesized relationships among the study's constructs. The findings reveal that PM serves as a critical mediator role in the successful implementation of I4.0. Specifically, the article identifies three primary goals in the I4.0 adoption process: strategic improvement, competitiveness, and organizational fit. Effective PM impacts these objectives through two major areas: HR and operations. This article highlights how I4.0 PM can act as a catalyst in the digital transformation of SMEs, ensuring that HR and operations are effectively harnessed to drive strategic change and organizational adaptation, and enhanced competitiveness.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"4-17"},"PeriodicalIF":4.6,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1109/TEM.2024.3493627
Wenguang Lin;Ting Wang;Zhizhen Chen;Renbin Xiao
Accurate identification of industrial clusters (IIC) serves as a reference for regional economic policymaking and enterprise development decision-making. Although data-driven methods have been extensively used in previous studies to support objective and effective work, both the data sources and research algorithms have significant shortcomings for IIC. To address these challenges, this article proposes a novel research framework that integrates patent mining and machine learning. Patents, with their quantifiable knowledge attributes and accessibility from public databases, are particularly suited for macrolevel analysis of innovation activities, providing robust support for identifying and analyzing clusters on a national scale, especially knowledge-intensive ones. This article introduces an improved density-based parameter adaptive algorithm designed to effectively carry out IIC based on the geographical location of patent applicants. Based on spatial cluster types defined by Markusen (1996), target clusters are classified using patent analysis. Four quantitative indexes–scale, output, efficiency, and quantity–are proposed to evaluate clusters based on their spatial structure and industrial organization. The practical application is demonstrated through a case study of China's flexible electronics industry. In addition, the Silhouette Coefficient index is employed to compare the effectiveness of the proposed algorithm against other methods. This article advances the theory of IIC, and provides foundation for scholars, calling for empirical research on industrial clusters from the perspective of individual enterprises. It also provides practical guidance for enterprises and policymakers on the application of IIC.
{"title":"Data-Driven Identification of Industrial Clusters: A Patent Analysis Approach","authors":"Wenguang Lin;Ting Wang;Zhizhen Chen;Renbin Xiao","doi":"10.1109/TEM.2024.3493627","DOIUrl":"https://doi.org/10.1109/TEM.2024.3493627","url":null,"abstract":"Accurate identification of industrial clusters (IIC) serves as a reference for regional economic policymaking and enterprise development decision-making. Although data-driven methods have been extensively used in previous studies to support objective and effective work, both the data sources and research algorithms have significant shortcomings for IIC. To address these challenges, this article proposes a novel research framework that integrates patent mining and machine learning. Patents, with their quantifiable knowledge attributes and accessibility from public databases, are particularly suited for macrolevel analysis of innovation activities, providing robust support for identifying and analyzing clusters on a national scale, especially knowledge-intensive ones. This article introduces an improved density-based parameter adaptive algorithm designed to effectively carry out IIC based on the geographical location of patent applicants. Based on spatial cluster types defined by Markusen (1996), target clusters are classified using patent analysis. Four quantitative indexes–scale, output, efficiency, and quantity–are proposed to evaluate clusters based on their spatial structure and industrial organization. The practical application is demonstrated through a case study of China's flexible electronics industry. In addition, the Silhouette Coefficient index is employed to compare the effectiveness of the proposed algorithm against other methods. This article advances the theory of IIC, and provides foundation for scholars, calling for empirical research on industrial clusters from the perspective of individual enterprises. It also provides practical guidance for enterprises and policymakers on the application of IIC.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15422-15437"},"PeriodicalIF":4.6,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1109/TEM.2024.3493600
Julian Martens;Indika Kumara;Dario Di Nucci;Fabiano Pecorelli;Geert Monsieur;Damian Andrew Tamburri;Willem-Jan Van Den Heuvel
This article presents a qualitative study on the barriers to the acceptance and development of quantum computing and the remedies for mitigating them. We interviewed eight quantum stakeholders from various organizations in the Netherlands and Germany with different levels of quantum expertise and diverse incentives to engage with technology development. We found 11 barriers to the acceptance and growth of quantum computing that reflect the limitations and uncertainty in the technology and the challenges to knowledge transfer and collaboration among academia, industry, policymakers, and society (i.e., the quantum stakeholders). We also found nine possible remedies to overcome these barriers by enabling effective collaboration and unobstructed information flow among stakeholders. Overall, we contribute to the existing literature on quantum computing adoption by identifying obstacles and remedies that consider both technological and stakeholder perspectives.
{"title":"Acceptance and Development of Quantum Computing in the Netherlands and Germany: Barriers and Remedies From a Multistakeholder Perspective","authors":"Julian Martens;Indika Kumara;Dario Di Nucci;Fabiano Pecorelli;Geert Monsieur;Damian Andrew Tamburri;Willem-Jan Van Den Heuvel","doi":"10.1109/TEM.2024.3493600","DOIUrl":"https://doi.org/10.1109/TEM.2024.3493600","url":null,"abstract":"This article presents a qualitative study on the barriers to the acceptance and development of quantum computing and the remedies for mitigating them. We interviewed eight quantum stakeholders from various organizations in the Netherlands and Germany with different levels of quantum expertise and diverse incentives to engage with technology development. We found 11 barriers to the acceptance and growth of quantum computing that reflect the limitations and uncertainty in the technology and the challenges to knowledge transfer and collaboration among academia, industry, policymakers, and society (i.e., the quantum stakeholders). We also found nine possible remedies to overcome these barriers by enabling effective collaboration and unobstructed information flow among stakeholders. Overall, we contribute to the existing literature on quantum computing adoption by identifying obstacles and remedies that consider both technological and stakeholder perspectives.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"62-77"},"PeriodicalIF":4.6,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-06DOI: 10.1109/TEM.2024.3492494
Mona Mustafa;Khalid S. AL-Gahtani;Naif M. Alsanabani;Ahmed El Shenawy;Ayman A. Altuwaim
Choosing to build façade materials impacts preserving energy and the surrounding environment. A few previous papers studied the environmental aspect of choosing a building facade. This article developed an integrated eco-design system consisting of three dimensions (environmental, economic, and social). The weights of these dimensions and their subdimensions were weighted utilizing the analytical hierarchy process (AHP)/pairwise comparison approach. These weights were combined to investigate the available alternatives using the VIKOR method. This framework was then implemented in a case study involving Saudi Arabian hotel buildings. Reducing the hazardous or toxic content of building materials, energy emissions associated with materials production, and exploiting natural resources utilized in materials production were significant subdimensions. Panels made of natural stone are regarded as the most suitable alternative. This document advocates for the adoption of natural and eco-friendly materials by decision-makers and stakeholders for building facades.
{"title":"Eco-Design-Based Framework for Selecting Façade Material","authors":"Mona Mustafa;Khalid S. AL-Gahtani;Naif M. Alsanabani;Ahmed El Shenawy;Ayman A. Altuwaim","doi":"10.1109/TEM.2024.3492494","DOIUrl":"https://doi.org/10.1109/TEM.2024.3492494","url":null,"abstract":"Choosing to build façade materials impacts preserving energy and the surrounding environment. A few previous papers studied the environmental aspect of choosing a building facade. This article developed an integrated eco-design system consisting of three dimensions (environmental, economic, and social). The weights of these dimensions and their subdimensions were weighted utilizing the analytical hierarchy process (AHP)/pairwise comparison approach. These weights were combined to investigate the available alternatives using the VIKOR method. This framework was then implemented in a case study involving Saudi Arabian hotel buildings. Reducing the hazardous or toxic content of building materials, energy emissions associated with materials production, and exploiting natural resources utilized in materials production were significant subdimensions. Panels made of natural stone are regarded as the most suitable alternative. This document advocates for the adoption of natural and eco-friendly materials by decision-makers and stakeholders for building facades.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15495-15510"},"PeriodicalIF":4.6,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10745645","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To mitigate power supply and demand imbalances and achieve carbon reduction goals, provinces in China have recently been promoting the development of renewable energy (RE) projects. Multiple criteria analysis is commonly employed for RE project assessment as energy considerations from multiple perspectives are required. To support governments’ reserve work on RE projects and facilitate their smooth development, this study introduces an interactive preference disaggregation approach for RE project sorting. The sorting model accounts for the influence of different experts. To resolve contradictory preferences among experts, mathematical programming models that can ensure the reliability of the decision-making results are constructed for conflicting analysis and adjustment strategy recommendations. The proposed approach achieves a certain form of “cognitive convergence” through iterative processes and finally derives sorting results aligning with the perceptions of all experts. In addition, to promote the high-quality development of RE projects, an optimization model is given to generate improvement strategies for inferior projects based on the sorting results. An illustrative example of solar photovoltaic project sorting is provided to validate the applicability of the proposed approach.
{"title":"An Interactive Preference Disaggregation Method for Renewable Energy Project Sorting With Multiple Experts","authors":"Zhiying Zhang;Huchang Liao;Chonghui Zhang;Xiao-Jun Zeng","doi":"10.1109/TEM.2024.3491997","DOIUrl":"https://doi.org/10.1109/TEM.2024.3491997","url":null,"abstract":"To mitigate power supply and demand imbalances and achieve carbon reduction goals, provinces in China have recently been promoting the development of renewable energy (RE) projects. Multiple criteria analysis is commonly employed for RE project assessment as energy considerations from multiple perspectives are required. To support governments’ reserve work on RE projects and facilitate their smooth development, this study introduces an interactive preference disaggregation approach for RE project sorting. The sorting model accounts for the influence of different experts. To resolve contradictory preferences among experts, mathematical programming models that can ensure the reliability of the decision-making results are constructed for conflicting analysis and adjustment strategy recommendations. The proposed approach achieves a certain form of “cognitive convergence” through iterative processes and finally derives sorting results aligning with the perceptions of all experts. In addition, to promote the high-quality development of RE projects, an optimization model is given to generate improvement strategies for inferior projects based on the sorting results. An illustrative example of solar photovoltaic project sorting is provided to validate the applicability of the proposed approach.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15569-15584"},"PeriodicalIF":4.6,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-04DOI: 10.1109/TEM.2024.3490982
Ching T. Liao;Mehdi Bagherzadeh;Stefan Markovic;Vesna Damnjanovic
In the innovation literature, there are mixed findings as to the influence of open innovation on innovation performance, which may be due to the predominantly exclusive focus on the level of open innovation rather than on its comparison with closed innovation (i.e., relative open innovation) thereby considering the costs associated with opening up. To address this issue, we empirically examine how relative open innovation is related to innovation performance. Our fieldwork is based on 130 Serbian firms. This sample is relevant because embracing open innovation can bring several benefits to firms from developing countries but, at the same time, the contextual limitations that firms in such countries have, make the adoption of open innovation costly. Using ordinary-least-squares regression, we find a U-shaped relationship between relative open innovation and innovation performance. We contribute to the literature by showing that firms with either low or high relative open innovation achieve a greater innovation performance than those with medium-level relative open innovation. This is due to the fact that the costs associated with opening up (i.e., transitioning from closed to open innovation) are highest at the medium level of relative open innovation, and especially prominent in developing countries.
{"title":"Open Innovation Where it Really Matters: The U-Shaped Relationship Between Relative Open Innovation and Innovation Performance in Developing Countries","authors":"Ching T. Liao;Mehdi Bagherzadeh;Stefan Markovic;Vesna Damnjanovic","doi":"10.1109/TEM.2024.3490982","DOIUrl":"https://doi.org/10.1109/TEM.2024.3490982","url":null,"abstract":"In the innovation literature, there are mixed findings as to the influence of open innovation on innovation performance, which may be due to the predominantly exclusive focus on the level of open innovation rather than on its comparison with closed innovation (i.e., relative open innovation) thereby considering the costs associated with opening up. To address this issue, we empirically examine how relative open innovation is related to innovation performance. Our fieldwork is based on 130 Serbian firms. This sample is relevant because embracing open innovation can bring several benefits to firms from developing countries but, at the same time, the contextual limitations that firms in such countries have, make the adoption of open innovation costly. Using ordinary-least-squares regression, we find a U-shaped relationship between relative open innovation and innovation performance. We contribute to the literature by showing that firms with either low or high relative open innovation achieve a greater innovation performance than those with medium-level relative open innovation. This is due to the fact that the costs associated with opening up (i.e., transitioning from closed to open innovation) are highest at the medium level of relative open innovation, and especially prominent in developing countries.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15540-15554"},"PeriodicalIF":4.6,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-31DOI: 10.1109/TEM.2024.3489273
Mahdad Pourmadadkar;Marianna Lezzi;Angelo Corallo
Cyber–physical systems (CPSs) are being increasingly connected to the physical world, making them attractive targets for cyber-attacks. The consequences of CPS cyber threats are even more drastic in critical infrastructures (CIs). This issue has triggered a surge in academic publications in this field within the past decade only. Recognizing the necessity of a comprehensive analysis of academic documents published on this topic, this article intends to conduct a bibliometric analysis of CPSs cyber security in CIs. Gathering a total of 1649 documents from the Scopus and Web of Science databases, a performance analysis is first carried out through a set of performance criteria. Then, a scientific mapping is performed based on keyword co-occurrence to visualize the knowledge area for further inference. As a result, seven thematic clusters were discovered and discussed in detail. Furthermore, an agenda for future research is identified based on the results of the bibliometric analysis, providing scope to advance the knowledge area. The outcomes of this article may be used by researchers and cyber security practitioners to have an illuminated and structured view of all the research conducted on CPSs cyber security in CIs and identify paths for further investigations on the topic.
网络物理系统（CPS）与物理世界的联系日益紧密，使其成为网络攻击的目标。在关键基础设施（CIs）中，CPS 网络威胁的后果甚至更为严重。仅在过去十年间，这一问题就引发了该领域学术出版物的激增。本文认识到有必要对该主题发表的学术文献进行全面分析，因此打算对 CI 中的 CPS 网络安全进行文献计量分析。本文从 Scopus 和 Web of Science 数据库中收集了共计 1649 篇文献，首先通过一套绩效标准进行了绩效分析。然后，根据关键词共现进行科学映射，使知识领域可视化，以便进一步推论。结果发现了七个主题集群，并对其进行了详细讨论。此外，还根据文献计量分析的结果确定了未来的研究议程，为推进该知识领域的研究提供了空间。研究人员和网络安全从业人员可以利用本文的成果，对有关 CI 中 CPS 网络安全的所有研究有一个清晰和结构化的视角，并确定进一步调查该主题的路径。
{"title":"Cyber Security for Cyber–Physical Systems in Critical Infrastructures: Bibliometrics Analysis and Future Directions","authors":"Mahdad Pourmadadkar;Marianna Lezzi;Angelo Corallo","doi":"10.1109/TEM.2024.3489273","DOIUrl":"https://doi.org/10.1109/TEM.2024.3489273","url":null,"abstract":"Cyber–physical systems (CPSs) are being increasingly connected to the physical world, making them attractive targets for cyber-attacks. The consequences of CPS cyber threats are even more drastic in critical infrastructures (CIs). This issue has triggered a surge in academic publications in this field within the past decade only. Recognizing the necessity of a comprehensive analysis of academic documents published on this topic, this article intends to conduct a bibliometric analysis of CPSs cyber security in CIs. Gathering a total of 1649 documents from the Scopus and Web of Science databases, a performance analysis is first carried out through a set of performance criteria. Then, a scientific mapping is performed based on keyword co-occurrence to visualize the knowledge area for further inference. As a result, seven thematic clusters were discovered and discussed in detail. Furthermore, an agenda for future research is identified based on the results of the bibliometric analysis, providing scope to advance the knowledge area. The outcomes of this article may be used by researchers and cyber security practitioners to have an illuminated and structured view of all the research conducted on CPSs cyber security in CIs and identify paths for further investigations on the topic.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15405-15421"},"PeriodicalIF":4.6,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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