Pub Date : 2021-11-24DOI: 10.1109/ictmod52902.2021.9750415
Satya Shah, T. Lin, Sepideh Samadi
The paper aims to discuss on the advancements and adoption of industry 4.0 technologies for small manufacturing firms. Many firms are now facing growing customer demands and continuously challenged by the global competition within the marketplace. The study aims to develop a preliminary understanding of industry 4.0, with specific focus towards manufacturing sectors. The paper aims to present a review of the concepts within small manufacturing firms through the literature currently available within this topic. The paper examines how the advanced technologies helps towards the enhancement or simplification of the overall manufacturing process of heavy-duty industrial packaging as a case study discussion. However, significant challenges that exists within the manufacturing firm towards the implementation of industry 4.0 processes have been identified along with some of the emerging technologies that support towards the adoption of industry 4.0.
{"title":"Accessibility and Adoption of Industry 4.0 Technologies for Small Manufacturing Firms","authors":"Satya Shah, T. Lin, Sepideh Samadi","doi":"10.1109/ictmod52902.2021.9750415","DOIUrl":"https://doi.org/10.1109/ictmod52902.2021.9750415","url":null,"abstract":"The paper aims to discuss on the advancements and adoption of industry 4.0 technologies for small manufacturing firms. Many firms are now facing growing customer demands and continuously challenged by the global competition within the marketplace. The study aims to develop a preliminary understanding of industry 4.0, with specific focus towards manufacturing sectors. The paper aims to present a review of the concepts within small manufacturing firms through the literature currently available within this topic. The paper examines how the advanced technologies helps towards the enhancement or simplification of the overall manufacturing process of heavy-duty industrial packaging as a case study discussion. However, significant challenges that exists within the manufacturing firm towards the implementation of industry 4.0 processes have been identified along with some of the emerging technologies that support towards the adoption of industry 4.0.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127771560","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 : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739554
Jamel Gamra, Elaine Mosconi, Abdeslam Hassani
Adapting to the business environment and surviving in the digital economy requires businesses to innovate and rethink their strategy more often than before. This is complex for all organizations, but even more so for SMEs. Collaborative Innovation (CI) offers ways to overcome the scarcity of resources, typical in the context of SMEs. However, most of time CI requires strategic changes to adopt and integrate innovation. Literature suggests that Dynamic Capabilities (DC), which include sensing, seizing and resources reconfiguration capabilities, may help businesses in strategic changing. More, DC seem to support CI since the same capabilities are needed. Although both CI and DC have been well articulated in the literature, empirical evidence supporting their relationship is scarce. Our study contributes to reducing this gap by conducting an exploratory study based on a Systematic Literature Review. The objective of this paper is to explore the relationship between CI and DC.
{"title":"Collaborative Innovation and Dynamic Capabilities: A Systematic Literature Review","authors":"Jamel Gamra, Elaine Mosconi, Abdeslam Hassani","doi":"10.1109/ICTMOD52902.2021.9739554","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739554","url":null,"abstract":"Adapting to the business environment and surviving in the digital economy requires businesses to innovate and rethink their strategy more often than before. This is complex for all organizations, but even more so for SMEs. Collaborative Innovation (CI) offers ways to overcome the scarcity of resources, typical in the context of SMEs. However, most of time CI requires strategic changes to adopt and integrate innovation. Literature suggests that Dynamic Capabilities (DC), which include sensing, seizing and resources reconfiguration capabilities, may help businesses in strategic changing. More, DC seem to support CI since the same capabilities are needed. Although both CI and DC have been well articulated in the literature, empirical evidence supporting their relationship is scarce. Our study contributes to reducing this gap by conducting an exploratory study based on a Systematic Literature Review. The objective of this paper is to explore the relationship between CI and DC.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132063045","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 : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739565
O. Saidi, Malek Masmoudi, Koffi Cobbold, Edgar Alfonso-Lizarazo, P. Albert
In this paper, we deal with transportation services' configuration in the context of centralization of sterilization service for a multi-hospital network. We address the problem as a Multi-trip VRP with pickup and delivery, with time windows and release dates. The objective is to design logistics trips between the network of hospitals and the sterilization center to pick-up contaminated reusable medical devices and distribute sterile ones while minimizing the transportation costs. We propose a mixed integer programming model and provide numerical experiments on randomly generated instances. A sensitivity analysis regarding several parameters is provided and the performance of the proposed model is shown.
{"title":"Optimizing transportation for a centralized sterilization service in a multi-hospital network","authors":"O. Saidi, Malek Masmoudi, Koffi Cobbold, Edgar Alfonso-Lizarazo, P. Albert","doi":"10.1109/ICTMOD52902.2021.9739565","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739565","url":null,"abstract":"In this paper, we deal with transportation services' configuration in the context of centralization of sterilization service for a multi-hospital network. We address the problem as a Multi-trip VRP with pickup and delivery, with time windows and release dates. The objective is to design logistics trips between the network of hospitals and the sterilization center to pick-up contaminated reusable medical devices and distribute sterile ones while minimizing the transportation costs. We propose a mixed integer programming model and provide numerical experiments on randomly generated instances. A sensitivity analysis regarding several parameters is provided and the performance of the proposed model is shown.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130173996","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 : 2021-11-24DOI: 10.1109/ictmod52902.2021.9739646
S. Venter, Sara S. Saartiie Grobbelaar
Technology Management Capabilities (TMC) approach has been defined as activities linked to capabilities which in turn are comprised of one or more processes/routines/competencies. This article presents and discusses a literature review conducted to identify key concepts for TMC and management of technology platforms within the context of platform ecosystems. We build on earlier work completed on platform management activities and establish a link to defined routines in the form of a preliminary framework.
{"title":"Linking Technology Management Capabilities Perspective with the Management of Technology Platforms: a literature review and preliminary framework","authors":"S. Venter, Sara S. Saartiie Grobbelaar","doi":"10.1109/ictmod52902.2021.9739646","DOIUrl":"https://doi.org/10.1109/ictmod52902.2021.9739646","url":null,"abstract":"Technology Management Capabilities (TMC) approach has been defined as activities linked to capabilities which in turn are comprised of one or more processes/routines/competencies. This article presents and discusses a literature review conducted to identify key concepts for TMC and management of technology platforms within the context of platform ecosystems. We build on earlier work completed on platform management activities and establish a link to defined routines in the form of a preliminary framework.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114264910","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 : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739353
B. Sharma, Sunaina Kuknor
Due to the emergence of technology, smart homes will be the next big thing in India. The study adopted a Value-based Adoption Model (VAM) to predict the consumer intention to use smart homes services in India. We used three constructs to measure the sacrifices and benefits: privacy risk, Technicality, perceived fees, usefulness, social inclusion, and status symbol. The effect of perceived value on Intention to use smart homes was predicted. The construct adopted from the previous studies was used to develop a structured questionnaire. We sent an electronic questionnaire to 98 respondents who were mostly aware of the technology of smart homes. The empirical model was tested by multiple linear regression with the help of SPSS software. The study concluded that the usefulness, perceived fees, and status symbol determine the perceived value, and perceived value successfully determining the Intention to use smart home services.
{"title":"Smart Homes adoption in India – Value-based Adoption Approach","authors":"B. Sharma, Sunaina Kuknor","doi":"10.1109/ICTMOD52902.2021.9739353","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739353","url":null,"abstract":"Due to the emergence of technology, smart homes will be the next big thing in India. The study adopted a Value-based Adoption Model (VAM) to predict the consumer intention to use smart homes services in India. We used three constructs to measure the sacrifices and benefits: privacy risk, Technicality, perceived fees, usefulness, social inclusion, and status symbol. The effect of perceived value on Intention to use smart homes was predicted. The construct adopted from the previous studies was used to develop a structured questionnaire. We sent an electronic questionnaire to 98 respondents who were mostly aware of the technology of smart homes. The empirical model was tested by multiple linear regression with the help of SPSS software. The study concluded that the usefulness, perceived fees, and status symbol determine the perceived value, and perceived value successfully determining the Intention to use smart home services.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116969573","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 : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739482
M. Nikolaidou, Sotiris Koukoumtzis, Ioannis Routis, C. Bardaki
When integrating technology in every-day activities, new challenges arise. IoT systems have made their way in everyday life, resulting in smart environments enabling humans to make decisions in a more knowledgeable fashion. As smart systems become more complex, the process of using them becomes knowledge-intensive. This type of processes heavily depend on knowledge and experience of humans, that may work in a highly automated environment. In 2016, Case Management Model and Notation (CMMN) was introduced as a standard for modeling and automating human-centric processes. However, existing CMMN execution platforms have not met the full potential of the standard yet. In the paper, we aim to evaluate CMMN execution capabilities based on the experience obtained using two popular, advanced CMMN execution platforms. The evaluation is performed in the context of a smart farming case study based on twenty-five requirements imposed by knowledge-intensive processes, already identified in the literature.
{"title":"Evaluating CMMN execution capabilities: An empirical assessment based on a Smart Farming case study","authors":"M. Nikolaidou, Sotiris Koukoumtzis, Ioannis Routis, C. Bardaki","doi":"10.1109/ICTMOD52902.2021.9739482","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739482","url":null,"abstract":"When integrating technology in every-day activities, new challenges arise. IoT systems have made their way in everyday life, resulting in smart environments enabling humans to make decisions in a more knowledgeable fashion. As smart systems become more complex, the process of using them becomes knowledge-intensive. This type of processes heavily depend on knowledge and experience of humans, that may work in a highly automated environment. In 2016, Case Management Model and Notation (CMMN) was introduced as a standard for modeling and automating human-centric processes. However, existing CMMN execution platforms have not met the full potential of the standard yet. In the paper, we aim to evaluate CMMN execution capabilities based on the experience obtained using two popular, advanced CMMN execution platforms. The evaluation is performed in the context of a smart farming case study based on twenty-five requirements imposed by knowledge-intensive processes, already identified in the literature.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129138200","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 : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739498
Ivana Basljan, Naomi-Frida Munitic, N. Peric, V. Lešić
Forecasting of demands of perishable goods is cru-cial in planning production schedules to satisfy customer needs on time, and to lower the profit losses of over or under stocks. Collaboration with one of local the supermarket chains provided a reasonable foundation for this academic study to optimize the forecasting of deliveries of perishable goods for food supply chains. By carefully analyzing its logistics operations and real-time data of short-shelf life product deliveries, it is discovered that the current supply management of the stores is solely based on prior managerial experiences, taking into consideration the spoilage, stock-out rates, and holiday seasons. Sudden change in demand causes problems to managers who struggle with keeping up with unpredictable frequency, type, and quantity of goods delivered to a particular place from an assigned warehouse. The paper presents a methodology for reliable planning and scheduling of orders of perishable goods, enabling planners to construct delivery schedules having a low expected total cost. This study aims to implement artificial intelligence where the demand for perishable goods can be predicted a few days in advance, also capable to cope with sudden changes. For that, the Gated Recurrent Unit recurrent neural networks are providing 81.3% average accuracy for observed 10 delivery points. Accurate prediction of demand results in delivering fresher products, which translates into economic benefits in terms of a higher product price.
{"title":"Prediction of perishable goods deliveries by GRU neural networks for reduction of logistics costs","authors":"Ivana Basljan, Naomi-Frida Munitic, N. Peric, V. Lešić","doi":"10.1109/ICTMOD52902.2021.9739498","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739498","url":null,"abstract":"Forecasting of demands of perishable goods is cru-cial in planning production schedules to satisfy customer needs on time, and to lower the profit losses of over or under stocks. Collaboration with one of local the supermarket chains provided a reasonable foundation for this academic study to optimize the forecasting of deliveries of perishable goods for food supply chains. By carefully analyzing its logistics operations and real-time data of short-shelf life product deliveries, it is discovered that the current supply management of the stores is solely based on prior managerial experiences, taking into consideration the spoilage, stock-out rates, and holiday seasons. Sudden change in demand causes problems to managers who struggle with keeping up with unpredictable frequency, type, and quantity of goods delivered to a particular place from an assigned warehouse. The paper presents a methodology for reliable planning and scheduling of orders of perishable goods, enabling planners to construct delivery schedules having a low expected total cost. This study aims to implement artificial intelligence where the demand for perishable goods can be predicted a few days in advance, also capable to cope with sudden changes. For that, the Gated Recurrent Unit recurrent neural networks are providing 81.3% average accuracy for observed 10 delivery points. Accurate prediction of demand results in delivering fresher products, which translates into economic benefits in terms of a higher product price.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114843576","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 : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739531
T. Agrawal, J. Angelis, Jagruti Ramsing Thakur, M. Wiktorsson, Ravi Kalaiarasan
With the increased electrification of transportation, there is a growth in the number of electric vehicles (EV) in use, and hence also discarded EV batteries. It is critical to trace the batteries so that the policy of electrification does not lead to a negative impact on sustainability. To achieve the goals of circular economy, it is necessary to consider the sustainable extended life cycle strategies of reduce, reuse and recycle. Information gathering and sharing through the supply chain is the key driver for enabling the tracking and tracing of materials and services needed. Traceability indicators across the value chain may enable the creation of a comprehensive database that aids the circular economy goals. In this study, we discuss three different circular economy business models and identify the key traceability indicators for enabling circularity in the lithium-ion battery application in the automotive sector. Insights are used to develop a framework for viable EV battery circularity, capturing three key circular economy elements and four traceability characteristics for different circularity types.
{"title":"Enabling circularity of electric vehicle batteries - the need for appropriate traceability","authors":"T. Agrawal, J. Angelis, Jagruti Ramsing Thakur, M. Wiktorsson, Ravi Kalaiarasan","doi":"10.1109/ICTMOD52902.2021.9739531","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739531","url":null,"abstract":"With the increased electrification of transportation, there is a growth in the number of electric vehicles (EV) in use, and hence also discarded EV batteries. It is critical to trace the batteries so that the policy of electrification does not lead to a negative impact on sustainability. To achieve the goals of circular economy, it is necessary to consider the sustainable extended life cycle strategies of reduce, reuse and recycle. Information gathering and sharing through the supply chain is the key driver for enabling the tracking and tracing of materials and services needed. Traceability indicators across the value chain may enable the creation of a comprehensive database that aids the circular economy goals. In this study, we discuss three different circular economy business models and identify the key traceability indicators for enabling circularity in the lithium-ion battery application in the automotive sector. Insights are used to develop a framework for viable EV battery circularity, capturing three key circular economy elements and four traceability characteristics for different circularity types.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127616633","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 : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739635
Patrick Hosein
In order to determine an appropriate auto insurance policy premium one needs to take into account the risk associated with the drivers and cars on the policy. The premium is then typically a combination of the administrative and other costs required to support this customer, the profit margin desired by the provider (which in turn depends on the competition) and finally on the expected claims to be made on this policy based on risk. Given multiple features of the policy (age and gender of drivers, value of car, etc.) one can potentially provide personalized insurance policies based specifically on these policy features. However, as the level of personalization increases, the quantity of data available for predicting individual claim rates (the average total claim value per year) decreases and hence the robustness of the estimate decreases. The optimal level of personalization will depend on the number of samples and attributes as well as factors such as the variance of the claim rate for different attributes and the variation of the claim rate across categories of each attribute. We formulate a mathematical model for this trade-off and demonstrate how one can obtain the optimal choice. We demonstrate using illustrative examples as well as with data from an automobile insurance company.
{"title":"On the Prediction of Automobile Insurance Claims: The Personalization versus Confidence Trade-off","authors":"Patrick Hosein","doi":"10.1109/ICTMOD52902.2021.9739635","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739635","url":null,"abstract":"In order to determine an appropriate auto insurance policy premium one needs to take into account the risk associated with the drivers and cars on the policy. The premium is then typically a combination of the administrative and other costs required to support this customer, the profit margin desired by the provider (which in turn depends on the competition) and finally on the expected claims to be made on this policy based on risk. Given multiple features of the policy (age and gender of drivers, value of car, etc.) one can potentially provide personalized insurance policies based specifically on these policy features. However, as the level of personalization increases, the quantity of data available for predicting individual claim rates (the average total claim value per year) decreases and hence the robustness of the estimate decreases. The optimal level of personalization will depend on the number of samples and attributes as well as factors such as the variance of the claim rate for different attributes and the variation of the claim rate across categories of each attribute. We formulate a mathematical model for this trade-off and demonstrate how one can obtain the optimal choice. We demonstrate using illustrative examples as well as with data from an automobile insurance company.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131067808","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 : 2021-11-24DOI: 10.1109/ICTMOD52902.2021.9739335
Chiara Ancillai, Federica Pascucci
Servitization and digitalization are profoundly shaping companies’ activities. However, firms face significant challenges in implementing advanced services as well as in capturing value from investments in digital technologies. This has drawn the interests of scholars on digital servitization as a business model innovation process to cope with such difficulties. Yet, the literature seems to lack empirical evidence on digital servitization. Moreover, while increasing attention has been paid to Internet of Things, other technologies have been neglected. Hence, the study aims at understanding the role of 3D technologies in enabling digital servitization by conducting an explorative case study within the fashion industry.
{"title":"3D Technology-Based Servitization: an Explorative Study of Business Model Innovation","authors":"Chiara Ancillai, Federica Pascucci","doi":"10.1109/ICTMOD52902.2021.9739335","DOIUrl":"https://doi.org/10.1109/ICTMOD52902.2021.9739335","url":null,"abstract":"Servitization and digitalization are profoundly shaping companies’ activities. However, firms face significant challenges in implementing advanced services as well as in capturing value from investments in digital technologies. This has drawn the interests of scholars on digital servitization as a business model innovation process to cope with such difficulties. Yet, the literature seems to lack empirical evidence on digital servitization. Moreover, while increasing attention has been paid to Internet of Things, other technologies have been neglected. Hence, the study aims at understanding the role of 3D technologies in enabling digital servitization by conducting an explorative case study within the fashion industry.","PeriodicalId":154817,"journal":{"name":"2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121171739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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