Pub Date : 2024-11-26DOI: 10.1109/TEM.2024.3506991
Érico Marcon;Giuliano Almeida Marodin;Alejandro G. Frank
Industry 4.0 has been conceived to enhance factory productivity, significantly impacting social aspects such as hierarchical structures, workers' skills, and operational routines. As digital technologies reshape factory activities, the need to support workers and their social environment has become crucial. This article discusses the importance of viewing Industry 4.0 as a sociotechnical system where human and technological elements interact. Despite the recognition of sociotechnical factors in the existing literature, a key gap remains: the interrelation of these factors is often overlooked. We propose using the configurational view, which considers different patterns of sociotechnical configurations within organizations. We analyze 132 manufacturing companies, identifying four distinct sociotechnical configurations. The results indicate that companies combining both social and organizational factors—termed “sociotechnical masters”—achieve the highest performance levels. We contribute to the literature by demonstrating how the integration of sociotechnical and configurational theories offers a more comprehensive framework for interpreting and guiding Industry 4.0 implementation. From a practical standpoint, we provide a detailed list of organizational and social factors to assist managers in establishing a balanced sociotechnical system that supports the successful adoption of Industry 4.0 technologies. In addition, we show how the combination of these factors can improve operational performance metrics.
{"title":"Combining Organizational and Social Factors to Support Industry 4.0 Implementation: A Sociotechnical and Configurational Analysis of Technology Adopters","authors":"Érico Marcon;Giuliano Almeida Marodin;Alejandro G. Frank","doi":"10.1109/TEM.2024.3506991","DOIUrl":"https://doi.org/10.1109/TEM.2024.3506991","url":null,"abstract":"Industry 4.0 has been conceived to enhance factory productivity, significantly impacting social aspects such as hierarchical structures, workers' skills, and operational routines. As digital technologies reshape factory activities, the need to support workers and their social environment has become crucial. This article discusses the importance of viewing Industry 4.0 as a sociotechnical system where human and technological elements interact. Despite the recognition of sociotechnical factors in the existing literature, a key gap remains: the interrelation of these factors is often overlooked. We propose using the configurational view, which considers different patterns of sociotechnical configurations within organizations. We analyze 132 manufacturing companies, identifying four distinct sociotechnical configurations. The results indicate that companies combining both social and organizational factors—termed “sociotechnical masters”—achieve the highest performance levels. We contribute to the literature by demonstrating how the integration of sociotechnical and configurational theories offers a more comprehensive framework for interpreting and guiding Industry 4.0 implementation. From a practical standpoint, we provide a detailed list of organizational and social factors to assist managers in establishing a balanced sociotechnical system that supports the successful adoption of Industry 4.0 technologies. In addition, we show how the combination of these factors can improve operational performance metrics.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"146-160"},"PeriodicalIF":4.6,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937851","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 : 2024-11-22DOI: 10.1109/TEM.2024.3504740
Yan Wang;Naiding Yang;Chunxiao Xie;Mingzhen Zhang;Sayed Muhammad Fawad Sharif
Network position has long been a focal point for network researchers. In today's dynamic environment, firms' positions within networks change over time. While evidence suggests that dynamic positioning is important for innovation, the exact relationship between the two remains unclear. Furthermore, empirical studies on how firms can improve their positions within networks are limited, significantly hindering the practical value of network position research. This article draws on network dynamics and social embeddedness theory to integrate dynamic network capability and the type of product innovation—modular innovation and architectural innovation—into a model that examines the driving and action paths of dynamic positioning in the complex product domain. Results from a sample of 270 complex product firms across eight key cities in China indicate that dynamic network capability is positively correlated with dynamic positioning, characterized by increased centrality and structural holes. These enhanced positions, in turn, positively influence innovation. In addition, the study finds that modular innovation strengthens the positive impact of increased centrality on innovation while architectural innovation weakens this effect. However, neither modular innovation nor architectural innovation moderates the relationship between increased structural holes and innovation. This study provides a dynamic perspective on network position, offering valuable insights and guidance for firms seeking to enhance their positions and drive innovation in the complex product domain.
{"title":"Position and Value: Dynamic Network Capability, Dynamic Positioning, and Innovation in Complex Product Domain","authors":"Yan Wang;Naiding Yang;Chunxiao Xie;Mingzhen Zhang;Sayed Muhammad Fawad Sharif","doi":"10.1109/TEM.2024.3504740","DOIUrl":"https://doi.org/10.1109/TEM.2024.3504740","url":null,"abstract":"Network position has long been a focal point for network researchers. In today's dynamic environment, firms' positions within networks change over time. While evidence suggests that dynamic positioning is important for innovation, the exact relationship between the two remains unclear. Furthermore, empirical studies on how firms can improve their positions within networks are limited, significantly hindering the practical value of network position research. This article draws on network dynamics and social embeddedness theory to integrate dynamic network capability and the type of product innovation—modular innovation and architectural innovation—into a model that examines the driving and action paths of dynamic positioning in the complex product domain. Results from a sample of 270 complex product firms across eight key cities in China indicate that dynamic network capability is positively correlated with dynamic positioning, characterized by increased centrality and structural holes. These enhanced positions, in turn, positively influence innovation. In addition, the study finds that modular innovation strengthens the positive impact of increased centrality on innovation while architectural innovation weakens this effect. However, neither modular innovation nor architectural innovation moderates the relationship between increased structural holes and innovation. This study provides a dynamic perspective on network position, offering valuable insights and guidance for firms seeking to enhance their positions and drive innovation in the complex product domain.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"176-190"},"PeriodicalIF":4.6,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937849","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 : 2024-11-20DOI: 10.1109/TEM.2024.3486250
Mourad Chouki;Mahrane Hofaidhllaoui;Maryam Kefi Ben Chehida;Laurent Giraud;Marina Dabić
This article examines the impact of design thinking on the implementation of agile methods by user experience designers, with a focus on the roles of coordination and user testing as mediators. Data were collected from an online survey of 431 user experience designers in France between 2020 and 2022 and analyzed using structural equation modeling ( partial least squares regressions ). The results reveal a positive direct effect of research on conception and a positive direct effect of conception on user testing. In addition, a positive direct effect of user testing and coordination on the implementation of agile methods was observed. The research and conception dimensions of design thinking also exert a positive effect on agile methods through coordination. Finally, user testing fully mediates the relationship between conception and agile methods. The discussion addresses the theoretical and managerial implications of these findings and suggests directions for future research.
{"title":"“Design-Led Agility: Unraveling the Influence of Design Thinking in the Agile Methodology Journey by User Experience Designers”","authors":"Mourad Chouki;Mahrane Hofaidhllaoui;Maryam Kefi Ben Chehida;Laurent Giraud;Marina Dabić","doi":"10.1109/TEM.2024.3486250","DOIUrl":"https://doi.org/10.1109/TEM.2024.3486250","url":null,"abstract":"This article examines the impact of design thinking on the implementation of agile methods by user experience designers, with a focus on the roles of coordination and user testing as mediators. Data were collected from an online survey of 431 user experience designers in France between 2020 and 2022 and analyzed using structural equation modeling (\u0000<italic>partial least squares regressions</i>\u0000). The results reveal a positive direct effect of research on conception and a positive direct effect of conception on user testing. In addition, a positive direct effect of user testing and coordination on the implementation of agile methods was observed. The research and conception dimensions of design thinking also exert a positive effect on agile methods through coordination. Finally, user testing fully mediates the relationship between conception and agile methods. The discussion addresses the theoretical and managerial implications of these findings and suggests directions for future research.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15478-15494"},"PeriodicalIF":4.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753859","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 : 2024-11-18DOI: 10.1109/TEM.2024.3500359
Xu Liu;He Xu;Stuart X. Zhu
The adoption of blockchain technology has spurred significant growth in the global Non-fungible tokens (NFT) market, which distinguishes itself from traditional markets by features such as free second-hand transactions and creator royalties. To navigate this burgeoning landscape, diverse business models have emerged, such as No secondary market and no royalties, Secondary market but no royalties, and Secondary market with royalties (mandatory royalty). In response, our theoretical model delves into the impact of these models on creator decisions, profits, consumer surplus, and social welfare. The NFT secondary market proves pivotal, enabling creators to set higher prices and enhance profits. Interestingly, introducing a creator royalty, under certain conditions, further boosts profits. Contrary to expectations, a low royalty doesn't always harm consumers; in fact, a sufficiently high royalty prompts creators to lower regular selling prices, fostering secondary transactions and expanding consumer surplus. Beyond the secondary market's conventional role in improving social welfare, our research reveals that a well-calibrated royalty, coupled with creator investment in NFT quality, can amplify social welfare. A low royalty incentivizes creators to prioritize highquality NFT production. We also scrutinize mandatory versus optional royalty policies (Consumer Optional Royalty), finding that the creator's profit is higher under the optional royalty framework with moderate or substantial royalties. We recommend that NFT creators opt for a medium royalty rate when given the choice to set it themselves. Otherwise, in instances where the royalty rate is predetermined, creators are better with mandatory (optional) royalty when royalty is small (large).
{"title":"Optimizing the Nonfungible Token Ecosystem: Effects of Business Models, Secondary Markets, and Royalties","authors":"Xu Liu;He Xu;Stuart X. Zhu","doi":"10.1109/TEM.2024.3500359","DOIUrl":"https://doi.org/10.1109/TEM.2024.3500359","url":null,"abstract":"The adoption of blockchain technology has spurred significant growth in the global Non-fungible tokens (NFT) market, which distinguishes itself from traditional markets by features such as free second-hand transactions and creator royalties. To navigate this burgeoning landscape, diverse business models have emerged, such as No secondary market and no royalties, Secondary market but no royalties, and Secondary market with royalties (mandatory royalty). In response, our theoretical model delves into the impact of these models on creator decisions, profits, consumer surplus, and social welfare. The NFT secondary market proves pivotal, enabling creators to set higher prices and enhance profits. Interestingly, introducing a creator royalty, under certain conditions, further boosts profits. Contrary to expectations, a low royalty doesn't always harm consumers; in fact, a sufficiently high royalty prompts creators to lower regular selling prices, fostering secondary transactions and expanding consumer surplus. Beyond the secondary market's conventional role in improving social welfare, our research reveals that a well-calibrated royalty, coupled with creator investment in NFT quality, can amplify social welfare. A low royalty incentivizes creators to prioritize highquality NFT production. We also scrutinize mandatory versus optional royalty policies (Consumer Optional Royalty), finding that the creator's profit is higher under the optional royalty framework with moderate or substantial royalties. We recommend that NFT creators opt for a medium royalty rate when given the choice to set it themselves. Otherwise, in instances where the royalty rate is predetermined, creators are better with mandatory (optional) royalty when royalty is small (large).","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15525-15539"},"PeriodicalIF":4.6,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789024","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 : 2024-11-13DOI: 10.1109/TEM.2024.3494051
Marina Dabić;João J. Ferreira;João M. Lopes;Sofia Gomes
Drone parcel delivery is an emerging topic with drone suppliers and retailers concerned due to their challenges and implications. Despite the many advantages associated with the drone delivery service, there are still obstacles to its acceptance by consumers, which is why it is necessary to understand their motivations. This study aims to analyze consumer behavior in the adoption of drone services. Specifically, the study analyzes the influence of perceived ease of use, perceived usefulness, and perceived privacy risk on consumers' attitudes toward drone delivery services and their intention to adopt this service. The sample, collected through a questionnaire, comprises answers from 1108 Portuguese citizens. The partial least squares method was used to test the purpose of this study. The results suggest that consumers' willingness to adopt drone delivery services is positively affected by the perception of ease of use and usefulness. At the same time, it is negatively influenced by perceived privacy risk. In addition, consumers' attitudes significantly influence consumers' intention to use these services in the future. Geographic adoption of drone delivery services is still limited. This study allows us to deepen our knowledge about the potential consumers of this service, which is very useful for its more universal adoption, and we propose to test the extended TAM model for ease of use of drone technologies by Portuguese consumers.
{"title":"Consumer Preferences and Barriers in the Adoption of Drone Delivery Services: A Comprehensive Analysis","authors":"Marina Dabić;João J. Ferreira;João M. Lopes;Sofia Gomes","doi":"10.1109/TEM.2024.3494051","DOIUrl":"https://doi.org/10.1109/TEM.2024.3494051","url":null,"abstract":"Drone parcel delivery is an emerging topic with drone suppliers and retailers concerned due to their challenges and implications. Despite the many advantages associated with the drone delivery service, there are still obstacles to its acceptance by consumers, which is why it is necessary to understand their motivations. This study aims to analyze consumer behavior in the adoption of drone services. Specifically, the study analyzes the influence of perceived ease of use, perceived usefulness, and perceived privacy risk on consumers' attitudes toward drone delivery services and their intention to adopt this service. The sample, collected through a questionnaire, comprises answers from 1108 Portuguese citizens. The partial least squares method was used to test the purpose of this study. The results suggest that consumers' willingness to adopt drone delivery services is positively affected by the perception of ease of use and usefulness. At the same time, it is negatively influenced by perceived privacy risk. In addition, consumers' attitudes significantly influence consumers' intention to use these services in the future. Geographic adoption of drone delivery services is still limited. This study allows us to deepen our knowledge about the potential consumers of this service, which is very useful for its more universal adoption, and we propose to test the extended TAM model for ease of use of drone technologies by Portuguese consumers.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"72 ","pages":"47-61"},"PeriodicalIF":4.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938225","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 : 2024-11-12DOI: 10.1109/TEM.2024.3496494
Shiyi Tang;Liangliang Zhang;Yong Xu
Despite extensive research on the benefits of enterprise digital transformation (EDT) to innovation, information about its dark side is scarce. Drawing on the resource dependence theory (RDT) and using samples of Chinese listed enterprises from 2010 to 2019, we adopt the double-fixed-effects model, mediation effect model, and moderation effect model to explore how EDT affects symbolic innovation (SI), as well as discussing the moderating roles of government research and development (R&D) subsidies, economic policy uncertainty (EPU), and media coverage (MC). We found that EDT induces SI by increasing executive performance pressure (Pressure) and managerial myopia (Myopia). Such effects are weakened by R&D and EPU but strengthened by MC. Enterprises with higher digital levels and lower substantive innovation levels are more inclined to engage in SI. Our conclusions are still robust after using a series of robustness tests. This study not only sheds light on the role of EDT in stimulating SI, thereby enriching the RDT, but also contributes to optimize decision-making by both business owners and governments.
{"title":"Every Coin Has Two Sides: Enterprise Digital Transformation and Symbolic Innovation","authors":"Shiyi Tang;Liangliang Zhang;Yong Xu","doi":"10.1109/TEM.2024.3496494","DOIUrl":"https://doi.org/10.1109/TEM.2024.3496494","url":null,"abstract":"Despite extensive research on the benefits of enterprise digital transformation (EDT) to innovation, information about its dark side is scarce. Drawing on the resource dependence theory (RDT) and using samples of Chinese listed enterprises from 2010 to 2019, we adopt the double-fixed-effects model, mediation effect model, and moderation effect model to explore how EDT affects symbolic innovation (SI), as well as discussing the moderating roles of government research and development (R&D) subsidies, economic policy uncertainty (EPU), and media coverage (MC). We found that EDT induces SI by increasing executive performance pressure (Pressure) and managerial myopia (Myopia). Such effects are weakened by R&D and EPU but strengthened by MC. Enterprises with higher digital levels and lower substantive innovation levels are more inclined to engage in SI. Our conclusions are still robust after using a series of robustness tests. This study not only sheds light on the role of EDT in stimulating SI, thereby enriching the RDT, but also contributes to optimize decision-making by both business owners and governments.","PeriodicalId":55009,"journal":{"name":"IEEE Transactions on Engineering Management","volume":"71 ","pages":"15465-15477"},"PeriodicalIF":4.6,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142753872","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.2024.3495992
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}
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