Pub Date : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198571
Lauri Koivunen, Samuli Laato, Sampsa Rauti, Juhani Naskali, Petri Nissilä, Pauliina Ojansivu, Tuomas Mäkilä, Mari Norrdal
Lunch cafeterias are forced to throw away food daily. The two main reasons are customer food waste and cafeteria food overproduction. Currently lunch cafeterias are able to follow how much surplus food is generated and find solutions such as offering excess food to consumers at a discount the next day. Reducing consumer food waste is more challenging. Previous work suggests, that quantifying and displaying the data on how much food consumers waste, can lead to a behavior change towards eating habits which result in a decreased quantity of wasted food. Following this conjecture, an intelligent self-serve lunch line was implemented at a university cafeteria. The lunch line was designed to contain sensors tracking food waste of individual customers and to display this data to customers via a dedicated mobile app. Following the Hevner design science method, this study reports the design and implementation of this lunch line as well as shows via preliminary data from real customers, 700–1000 daily customers during January 2020, of how much bio-waste is created in the cafeteria. During this time period, on average 3% of food taken by customers ended up wasted.
{"title":"Increasing Customer Awareness on Food Waste at University Cafeteria with a Sensor-Based Intelligent Self-Serve Lunch Line","authors":"Lauri Koivunen, Samuli Laato, Sampsa Rauti, Juhani Naskali, Petri Nissilä, Pauliina Ojansivu, Tuomas Mäkilä, Mari Norrdal","doi":"10.1109/ICE/ITMC49519.2020.9198571","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198571","url":null,"abstract":"Lunch cafeterias are forced to throw away food daily. The two main reasons are customer food waste and cafeteria food overproduction. Currently lunch cafeterias are able to follow how much surplus food is generated and find solutions such as offering excess food to consumers at a discount the next day. Reducing consumer food waste is more challenging. Previous work suggests, that quantifying and displaying the data on how much food consumers waste, can lead to a behavior change towards eating habits which result in a decreased quantity of wasted food. Following this conjecture, an intelligent self-serve lunch line was implemented at a university cafeteria. The lunch line was designed to contain sensors tracking food waste of individual customers and to display this data to customers via a dedicated mobile app. Following the Hevner design science method, this study reports the design and implementation of this lunch line as well as shows via preliminary data from real customers, 700–1000 daily customers during January 2020, of how much bio-waste is created in the cafeteria. During this time period, on average 3% of food taken by customers ended up wasted.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121414662","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198412
A. Ta, J. Valta, Jouni Lyly-Yrjänäinen, Leena Aarikka-Stenroos, S. Mäkinen
Crossing the valley of death between initial funding and commercialization is a major challenge for most start-ups. This paper studies the possibility to use secondary markets in order to maintain financial stability and independence. However, adding secondary market segments requires managing ambidexterity within the start-up, its network and its environment. These market segments are theoretically conceptualized as segments for exploitation and exploration, and criteria are developed accordingly. We use interventionist research for studying the challenges that a research-based start-up faces when they try to manage this ambidexterity in their commercialization process. The results indicate that exploitation strategy can be beneficial for crossing the valley of death but implementing it includes uncertainties. Even though exploitative market segments can be found, starting a business requires the right circumstances and capabilities, such as technological compatibility and supporting regulatory conditions. The case study highlights the importance of managing asymmetric interests in ambidextrous partnerships.
{"title":"Thinking through exploration and exploitation in start-ups: A case of research commercialization","authors":"A. Ta, J. Valta, Jouni Lyly-Yrjänäinen, Leena Aarikka-Stenroos, S. Mäkinen","doi":"10.1109/ICE/ITMC49519.2020.9198412","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198412","url":null,"abstract":"Crossing the valley of death between initial funding and commercialization is a major challenge for most start-ups. This paper studies the possibility to use secondary markets in order to maintain financial stability and independence. However, adding secondary market segments requires managing ambidexterity within the start-up, its network and its environment. These market segments are theoretically conceptualized as segments for exploitation and exploration, and criteria are developed accordingly. We use interventionist research for studying the challenges that a research-based start-up faces when they try to manage this ambidexterity in their commercialization process. The results indicate that exploitation strategy can be beneficial for crossing the valley of death but implementing it includes uncertainties. Even though exploitative market segments can be found, starting a business requires the right circumstances and capabilities, such as technological compatibility and supporting regulatory conditions. The case study highlights the importance of managing asymmetric interests in ambidextrous partnerships.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122504128","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198621
Samuli Laato, Renny S. N. Lindberg, T. Laine, Phuong Bui, Boglárka Brezovszky, Lauri Koivunen, Olga De Troyer, E. Lehtinen
The number of available educational games has enormously grown and it is difficult for users to identify which games are pedagogically effective among the multitude of options in app marketplaces. Recent studies on math games have highlighted the importance of (1) linking learning attributes and gameplay and (2) game design that supports students' deliberate practise. Using these as a measure for pedagogical quality, we investigated 109 math games found on Google Play Store (n=61) and iOS App Store (n=48). Furthermore, monetization solutions, data use permissions, target age group and type of mathematical content were retrieved from the apps. The analysis showed that only 11,0% of the games integrated learning attributes with gameplay and 12,0% of the games contained tasks which support learners' deliberate practice. The most commonly featured math subject was arithmetic and the games were targeted mostly to early childhood (6–12 years). Finally, games following curricula content and recommended design principles were difficult to locate using the search tools of the app marketplaces.
教育类游戏的数量急剧增长，用户很难在应用市场的众多选择中确定哪些游戏具有教育效果。最近关于数学游戏的研究强调了以下两点的重要性:(1)将学习属性与游戏玩法联系起来;(2)支持学生刻意练习的游戏设计。以此作为教学质量的衡量标准，我们调查了Google Play Store (n=61)和iOS App Store (n=48)上的109款数学游戏。此外，我们还从应用程序中检索到货币化解决方案、数据使用权限、目标年龄组和数学内容类型。分析表明，只有11.0%的游戏将学习属性与游戏玩法结合在一起，12.0%的游戏包含支持学习者刻意练习的任务。最常见的数学科目是算术，游戏主要针对幼儿(6-12岁)。最后，遵循课程内容和推荐设计原则的游戏很难通过应用市场的搜索工具找到。
{"title":"Evaluation of the Pedagogical Quality of Mobile Math Games in App Marketplaces","authors":"Samuli Laato, Renny S. N. Lindberg, T. Laine, Phuong Bui, Boglárka Brezovszky, Lauri Koivunen, Olga De Troyer, E. Lehtinen","doi":"10.1109/ICE/ITMC49519.2020.9198621","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198621","url":null,"abstract":"The number of available educational games has enormously grown and it is difficult for users to identify which games are pedagogically effective among the multitude of options in app marketplaces. Recent studies on math games have highlighted the importance of (1) linking learning attributes and gameplay and (2) game design that supports students' deliberate practise. Using these as a measure for pedagogical quality, we investigated 109 math games found on Google Play Store (n=61) and iOS App Store (n=48). Furthermore, monetization solutions, data use permissions, target age group and type of mathematical content were retrieved from the apps. The analysis showed that only 11,0% of the games integrated learning attributes with gameplay and 12,0% of the games contained tasks which support learners' deliberate practice. The most commonly featured math subject was arithmetic and the games were targeted mostly to early childhood (6–12 years). Finally, games following curricula content and recommended design principles were difficult to locate using the search tools of the app marketplaces.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"23 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123273871","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198359
Stefan Trieflinger, Jürgen Münch, Vera Knoop, Dominic Lang
Nowadays companies are facing increasing market dynamics, rapidly evolving technologies and shifting user expectations. Together with the adoption of lean and agile practices this situation makes it increasingly difficult to plan and predict upfront which products, services or features should be developed in the future. Consequently, many organizations are struggling with their ability to provide reliable and stable product roadmaps by applying traditional approaches. This paper aims at identifying and getting a better understanding of which measures companies have taken to transform their current product roadmapping practices to the requirements of a dynamic and uncertain market environment. This also includes challenges and success factors within this transformation process as well as measures that companies have planned for the future. We conducted 18 semi-structured expert interviews with practitioners of different companies and performed a thematic data analysis. The study shows that the participating companies are aware that the transformation of traditional product roadmapping practices to fulfill the requirements of a dynamic and uncertain market environment is necessary. The most important measures that the participating companies have taken are 1) adequate item planning concerning the timeline, 2) the replacement of a fixed time-based chart by a more flexible structure, 3) the use of outcomes to determine the items (such as features) on the a roadmap, 4) the creation of a central roadmap which allows deriving different representation for each stakeholder and department.
{"title":"Facing the Challenges with Product Roadmaps in Uncertain Markets: Experience from Industry","authors":"Stefan Trieflinger, Jürgen Münch, Vera Knoop, Dominic Lang","doi":"10.1109/ICE/ITMC49519.2020.9198359","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198359","url":null,"abstract":"Nowadays companies are facing increasing market dynamics, rapidly evolving technologies and shifting user expectations. Together with the adoption of lean and agile practices this situation makes it increasingly difficult to plan and predict upfront which products, services or features should be developed in the future. Consequently, many organizations are struggling with their ability to provide reliable and stable product roadmaps by applying traditional approaches. This paper aims at identifying and getting a better understanding of which measures companies have taken to transform their current product roadmapping practices to the requirements of a dynamic and uncertain market environment. This also includes challenges and success factors within this transformation process as well as measures that companies have planned for the future. We conducted 18 semi-structured expert interviews with practitioners of different companies and performed a thematic data analysis. The study shows that the participating companies are aware that the transformation of traditional product roadmapping practices to fulfill the requirements of a dynamic and uncertain market environment is necessary. The most important measures that the participating companies have taken are 1) adequate item planning concerning the timeline, 2) the replacement of a fixed time-based chart by a more flexible structure, 3) the use of outcomes to determine the items (such as features) on the a roadmap, 4) the creation of a central roadmap which allows deriving different representation for each stakeholder and department.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132064962","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198368
M. Pallot, K. Pawar, Piotr Krawczyk, Marcin Topolewski, Adrien Lecossier, Abdul Rahman Abdel Razek
This paper presents an empirical study dedicated to the evaluation of user experience (UX) and its possible causal influences on adoption. The empirical study was conducted in the context of an Innovation Management track in Fall 2019, where student teams had the opportunity to co-create innovative mobile app ideas. The applied UX-based adoption model, which in previous studies, has undergone numerous limited scale reliability, validity, and goodness of fit tests, was initiated through the first tentative model created in 2016. For each mobile app idea, a bipolar survey allowed the collection of both quantitative and qualitative data in order to evaluate the degree of UX satisfaction and its causal effect on adoption. This new study offers limited, early-stage evidence for possible cross-validation of the UX multidimensional aspect of the model by demonstrating that several UX facets, belonging to different dimensions, directly influence the anticipated UX and intention to adopt in the context of eight unique, innovative mobile app ideas. It also reveals that this approach could be used to sift through innovative ideas during the Fuzzy Front End stage in predicting their potential adoption success at the later close-to-market and on-the-market stages. Finally, it also provides some empirical evidence to support the hypothesis that the higher the degree of UX satisfaction, the stronger the intention to adopt.
{"title":"Evaluating User eXperience as a Means to Reveal the Potential Adoption of Innovative Ideas","authors":"M. Pallot, K. Pawar, Piotr Krawczyk, Marcin Topolewski, Adrien Lecossier, Abdul Rahman Abdel Razek","doi":"10.1109/ICE/ITMC49519.2020.9198368","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198368","url":null,"abstract":"This paper presents an empirical study dedicated to the evaluation of user experience (UX) and its possible causal influences on adoption. The empirical study was conducted in the context of an Innovation Management track in Fall 2019, where student teams had the opportunity to co-create innovative mobile app ideas. The applied UX-based adoption model, which in previous studies, has undergone numerous limited scale reliability, validity, and goodness of fit tests, was initiated through the first tentative model created in 2016. For each mobile app idea, a bipolar survey allowed the collection of both quantitative and qualitative data in order to evaluate the degree of UX satisfaction and its causal effect on adoption. This new study offers limited, early-stage evidence for possible cross-validation of the UX multidimensional aspect of the model by demonstrating that several UX facets, belonging to different dimensions, directly influence the anticipated UX and intention to adopt in the context of eight unique, innovative mobile app ideas. It also reveals that this approach could be used to sift through innovative ideas during the Fuzzy Front End stage in predicting their potential adoption success at the later close-to-market and on-the-market stages. Finally, it also provides some empirical evidence to support the hypothesis that the higher the degree of UX satisfaction, the stronger the intention to adopt.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132160172","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198639
Shantanoo Desai, Quan Deng, S. Wellsandt, K. Thoben
Digital Business-to-Business (B2B) platforms are increasingly playing an influential role in shaping business collaboration. Companies are relying more on such platforms to approach suppliers, customers, and service providers hence improving cross-sectoral collaboration and market reach. Digital platforms are including disruptive technologies such as the Internet of Things (IoT) as well as Blockchain to improve transparency and trust in business processes. However, notable challenges occur in integrating IoT information with product tracking information as well as storing them on Blockchain. This paper provides an implementation of integrating IoT-based product tracking with Blockchain in an open-source multi-sided B2B platform to address integration challenges. It focuses on product-tracking events and sensor data from the factory environment. A Blockchain service keeps cryptographic hash values for this information to avoid manipulation after the data storage.
{"title":"An Implementation of IoT-Based Product Tracking with Blockchain Integration for a B2B Platform","authors":"Shantanoo Desai, Quan Deng, S. Wellsandt, K. Thoben","doi":"10.1109/ICE/ITMC49519.2020.9198639","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198639","url":null,"abstract":"Digital Business-to-Business (B2B) platforms are increasingly playing an influential role in shaping business collaboration. Companies are relying more on such platforms to approach suppliers, customers, and service providers hence improving cross-sectoral collaboration and market reach. Digital platforms are including disruptive technologies such as the Internet of Things (IoT) as well as Blockchain to improve transparency and trust in business processes. However, notable challenges occur in integrating IoT information with product tracking information as well as storing them on Blockchain. This paper provides an implementation of integrating IoT-based product tracking with Blockchain in an open-source multi-sided B2B platform to address integration challenges. It focuses on product-tracking events and sensor data from the factory environment. A Blockchain service keeps cryptographic hash values for this information to avoid manipulation after the data storage.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126279848","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198646
Marcin Topolewski, Piotr Krawczyk, M. Pallot, J. Huotari
This paper presents an empirical study dedicated to the evaluation of User eXperience (UX) and its impact on potential adoption. This empirical study, which was carried out in Fall 2019, took place in the context of exploring the transferability of a previously validated mixed-methods survey instrument and the underlying formative UX model. Several app idea co-creation experiments were conducted in the context of an Innovation Management course where student teams had to co-create mobile app ideas. The resulting formative model was operationalized in the form of a mixed-methods bipolar survey instrument. Based on empirical evidence in the form of 328 responses from the same population of students participating in the eight distinct app idea co-creation experiments, the instantiated and refined UX model has met multiple criteria of reliability, validity, and goodness of fit. This study demonstrates that several UX facets, belonging to different dimensions, directly influence the anticipated UX satisfaction and the related degree of adoption. In particular, the high value of the coefficient of determination R2 = 0.707 shows, that almost 71% of the variability of Intention-to-Adopt is explained by User-Experience. The study provides early-stage evidence of possible transferability of the UX-based adoption model in evaluation of both the UX satisfaction and its impact on the adoption of any product, service or bundle idea in either concept, prototype or ready-to-market stage of the New Product Development cycle.
{"title":"Applying A User eXperience-based Adoption Model in Several App Idea Cases","authors":"Marcin Topolewski, Piotr Krawczyk, M. Pallot, J. Huotari","doi":"10.1109/ICE/ITMC49519.2020.9198646","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198646","url":null,"abstract":"This paper presents an empirical study dedicated to the evaluation of User eXperience (UX) and its impact on potential adoption. This empirical study, which was carried out in Fall 2019, took place in the context of exploring the transferability of a previously validated mixed-methods survey instrument and the underlying formative UX model. Several app idea co-creation experiments were conducted in the context of an Innovation Management course where student teams had to co-create mobile app ideas. The resulting formative model was operationalized in the form of a mixed-methods bipolar survey instrument. Based on empirical evidence in the form of 328 responses from the same population of students participating in the eight distinct app idea co-creation experiments, the instantiated and refined UX model has met multiple criteria of reliability, validity, and goodness of fit. This study demonstrates that several UX facets, belonging to different dimensions, directly influence the anticipated UX satisfaction and the related degree of adoption. In particular, the high value of the coefficient of determination R2 = 0.707 shows, that almost 71% of the variability of Intention-to-Adopt is explained by User-Experience. The study provides early-stage evidence of possible transferability of the UX-based adoption model in evaluation of both the UX satisfaction and its impact on the adoption of any product, service or bundle idea in either concept, prototype or ready-to-market stage of the New Product Development cycle.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129215804","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 : 2020-02-14DOI: 10.1109/ICE/ITMC49519.2020.9198545
Muhidin A. Mohamed
Small and Medium Enterprises (SMEs) now generate digital data at an unprecedented rate from online transactions, social media marketing and associated customer interactions, online product/service reviews and feedback, clinical diagnosis, Internet of Things (IoT) sensors, and production processes. All these forms of data can be transformed into monetary value if put into a proper data value chain. This requires both skills and IT investments for the longterm benefit of businesses. However, such spending is beyond the capacity of most SMEs due to their limited resources and restricted access to finance. This paper presents lessons learned from a case study of 53 UK SMEs, mostly from the West Midlands region of England, supported as part of a 3-year ERDF11European Regional Development Fund. project – Big Data Corridor22An ERDF funded 3-year project from 2016 to 2019: https://bigdatacorridor.com/. – in the areas of big data management, analytics and related IT issues. Based on our study's sample companies, several perspectives including digital technology trends, challenges facing the UK SMEs, and the state of their adoption in data analytics and big data, are presented.
{"title":"Trends of digitalization and adoption of big data & analytics among UK SMEs: Analysis and lessons drawn from a case study of 53 SMEs","authors":"Muhidin A. Mohamed","doi":"10.1109/ICE/ITMC49519.2020.9198545","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198545","url":null,"abstract":"Small and Medium Enterprises (SMEs) now generate digital data at an unprecedented rate from online transactions, social media marketing and associated customer interactions, online product/service reviews and feedback, clinical diagnosis, Internet of Things (IoT) sensors, and production processes. All these forms of data can be transformed into monetary value if put into a proper data value chain. This requires both skills and IT investments for the longterm benefit of businesses. However, such spending is beyond the capacity of most SMEs due to their limited resources and restricted access to finance. This paper presents lessons learned from a case study of 53 UK SMEs, mostly from the West Midlands region of England, supported as part of a 3-year ERDF11European Regional Development Fund. project – Big Data Corridor22An ERDF funded 3-year project from 2016 to 2019: https://bigdatacorridor.com/. – in the areas of big data management, analytics and related IT issues. Based on our study's sample companies, several perspectives including digital technology trends, challenges facing the UK SMEs, and the state of their adoption in data analytics and big data, are presented.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129464247","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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