Pub Date : 2019-09-17DOI: 10.5220/0008349002850290
J. Jussila, Joni Kukkamäki, Nina Helander
Smart city development relies heavily on creation of digital services that are available for the citizens and for the city authorities. At best, these services are co-created by the authorities, citizens and the digital solution supplier companies. Digital service co-creation is, however, a complex process and includes several contradictions due to presence of several stakeholders. In this paper, we present a case study of smart city initiated digital service co-creation process through the analytical lenses of activity theory.
{"title":"Co-creating Digital Services for Citizens: Activity Theory Analysis","authors":"J. Jussila, Joni Kukkamäki, Nina Helander","doi":"10.5220/0008349002850290","DOIUrl":"https://doi.org/10.5220/0008349002850290","url":null,"abstract":"Smart city development relies heavily on creation of digital services that are available for the citizens and for the city authorities. At best, these services are co-created by the authorities, citizens and the digital solution supplier companies. Digital service co-creation is, however, a complex process and includes several contradictions due to presence of several stakeholders. In this paper, we present a case study of smart city initiated digital service co-creation process through the analytical lenses of activity theory.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126225584","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 : 2019-09-17DOI: 10.5220/0008167501130119
P. Chatzoglou, A. Christidis, Vasillis P. Aggelidis, S. Symeonidis
This paper attempts to develop and empirically test a research model that examines the relationship between various e-service quality dimensions and overall service quality, customer satisfaction and purchase intension. The adopted quality dimensions are based on SERVQUAL and its extensions proposed by various researchers which refer specifically to some of the critical factors of electronic services provided by e-shops. A structured questionnaire has been constructed and electronically distributed. Three hundred and sixty usable questionnaires were received. SEM (structural equation modeling) was mainly used to analyse the gathered data and test the validity of the proposed research model. The results showed that the dimensions of web site design, web site usability, information quality, service reliability, responsiveness, trust, and personalization are some of the most important dimensions of quality. Almost all of them have direct or indirect relationship with overall service quality and customer satisfaction which, in turn, have a strong relationship with purchase intentions. Overall, the results suggest that e-shops should develop specific marketing strategies to better address the proposed dimensions of e-services.
{"title":"Investigation and Identification of Quality Dimensions in e-Business","authors":"P. Chatzoglou, A. Christidis, Vasillis P. Aggelidis, S. Symeonidis","doi":"10.5220/0008167501130119","DOIUrl":"https://doi.org/10.5220/0008167501130119","url":null,"abstract":"This paper attempts to develop and empirically test a research model that examines the relationship between various e-service quality dimensions and overall service quality, customer satisfaction and purchase intension. The adopted quality dimensions are based on SERVQUAL and its extensions proposed by various researchers which refer specifically to some of the critical factors of electronic services provided by e-shops. A structured questionnaire has been constructed and electronically distributed. Three hundred and sixty usable questionnaires were received. SEM (structural equation modeling) was mainly used to analyse the gathered data and test the validity of the proposed research model. The results showed that the dimensions of web site design, web site usability, information quality, service reliability, responsiveness, trust, and personalization are some of the most important dimensions of quality. Almost all of them have direct or indirect relationship with overall service quality and customer satisfaction which, in turn, have a strong relationship with purchase intentions. Overall, the results suggest that e-shops should develop specific marketing strategies to better address the proposed dimensions of e-services.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132029820","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 : 2019-09-17DOI: 10.5220/0008053701670175
Stephanie Bäuml, Daniel Hilpoltsteiner, S. Meissner, C. Seel
This paper discusses the modeling of rule-based logistics planning processes. These are mostly inadequately documented and modeled, especially for small and medium-sized enterprises (SMEs). As a starting point, the ways of representing rule-based logistics planning processes and the modeling languages suitable for the processes are introduced. In addition, it is shown how decision rules can be represented in modeling languages. Based on this, a prototypical representation for the planning of a kanban loop is presented as a technical model. This serves as the basis for a workflow, which is constructed by transforming the domain-oriented model into a technical model. A workflow engine is used to execute and evaluate the technical model.
{"title":"Information Modeling of Rule-based Logistic Planning Processes Kanban Loop Planning Supported by a Workflow Engine","authors":"Stephanie Bäuml, Daniel Hilpoltsteiner, S. Meissner, C. Seel","doi":"10.5220/0008053701670175","DOIUrl":"https://doi.org/10.5220/0008053701670175","url":null,"abstract":"This paper discusses the modeling of rule-based logistics planning processes. These are mostly inadequately documented and modeled, especially for small and medium-sized enterprises (SMEs). As a starting point, the ways of representing rule-based logistics planning processes and the modeling languages suitable for the processes are introduced. In addition, it is shown how decision rules can be represented in modeling languages. Based on this, a prototypical representation for the planning of a kanban loop is presented as a technical model. This serves as the basis for a workflow, which is constructed by transforming the domain-oriented model into a technical model. A workflow engine is used to execute and evaluate the technical model.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114991750","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 : 2019-09-17DOI: 10.5220/0008346702430249
Claudia Döring, C. Seel
Alliances between enterprises, such as Star Alliance, are a well-known phenomenon and have been subject of research for the last decades. Today, universities are also beginning to form alliances among themselves. Especially in the area of knowledge transfer alliances matter, as they create synergies, increase the visibility and allow universities to carry out projects that cannot be done by a single university. However, a University alliance creates new processes and interfaces between the member Universities. The management of such an alliance is a knowledge management challenge on its own. Therefore, this paper gathers the requirements on a University alliance and outlines how the business processes, that are specific for a University alliance, can be structured in a framework. The framework indicates which processes are important for an alliance and on which level they have to be addressed, on the level of a single University, first at each University and afterwards in the alliance or on alliance level only.
{"title":"Collaborative Knowledge Management in University Alliances with Information Models","authors":"Claudia Döring, C. Seel","doi":"10.5220/0008346702430249","DOIUrl":"https://doi.org/10.5220/0008346702430249","url":null,"abstract":"Alliances between enterprises, such as Star Alliance, are a well-known phenomenon and have been subject of research for the last decades. Today, universities are also beginning to form alliances among themselves. Especially in the area of knowledge transfer alliances matter, as they create synergies, increase the visibility and allow universities to carry out projects that cannot be done by a single university. However, a University alliance creates new processes and interfaces between the member Universities. The management of such an alliance is a knowledge management challenge on its own. Therefore, this paper gathers the requirements on a University alliance and outlines how the business processes, that are specific for a University alliance, can be structured in a framework. The framework indicates which processes are important for an alliance and on which level they have to be addressed, on the level of a single University, first at each University and afterwards in the alliance or on alliance level only.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123553834","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 : 2019-09-17DOI: 10.5220/0008161900830091
Harriet Kasper, Monika Kochanowski, Verena Pohl
Innovation drives economic growth and today innovation workshops are widely used to create new products, production methods etc. The InnoDeck is a low-tech knowledge management concept for information that is relevant for the facilitation of innovation workshops. In this context, InnoDeck is a tool for information sharing and organizational learning. It consists of two-sided self-contained cards that provide either methodological or inspirational content. Facilitators can choose a subset of cards for their design thinking project. The InnoDeck is human-centered because the main focus of each card is to be a quick read, easy to grasp and memorable. It not only engages its users but also is highly participatory. Everyone is encouraged to add cards to the expandable accumulative card deck. The concept has been developed, used and evaluated within a network of insurance companies and has proven to be beneficial for creating an innovation culture within these companies.
{"title":"InnoDeck: Card based Innovation Support - A Modular Human-Centered Approach to Facilitate Innovation Workshops","authors":"Harriet Kasper, Monika Kochanowski, Verena Pohl","doi":"10.5220/0008161900830091","DOIUrl":"https://doi.org/10.5220/0008161900830091","url":null,"abstract":"Innovation drives economic growth and today innovation workshops are widely used to create new products, production methods etc. The InnoDeck is a low-tech knowledge management concept for information that is relevant for the facilitation of innovation workshops. In this context, InnoDeck is a tool for information sharing and organizational learning. It consists of two-sided self-contained cards that provide either methodological or inspirational content. Facilitators can choose a subset of cards for their design thinking project. The InnoDeck is human-centered because the main focus of each card is to be a quick read, easy to grasp and memorable. It not only engages its users but also is highly participatory. Everyone is encouraged to add cards to the expandable accumulative card deck. The concept has been developed, used and evaluated within a network of insurance companies and has proven to be beneficial for creating an innovation culture within these companies.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121527687","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 : 2019-09-17DOI: 10.5220/0008366203770382
Noriyuki Okumura, Rei Okumura
In this paper, we propose a multi-class classification method for Kaomoji using feed forward neural network. Neural network has some units in each layer, but the suitable number of units is not clear. This research investigated the relation between the number of units and the accuracy of multi-class classification method.
{"title":"A Multi Class Classification to Detect Original Form of Kaomoji using Neural Network","authors":"Noriyuki Okumura, Rei Okumura","doi":"10.5220/0008366203770382","DOIUrl":"https://doi.org/10.5220/0008366203770382","url":null,"abstract":"In this paper, we propose a multi-class classification method for Kaomoji using feed forward neural network. Neural network has some units in each layer, but the suitable number of units is not clear. This research investigated the relation between the number of units and the accuracy of multi-class classification method.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121297286","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 : 2019-09-17DOI: 10.5220/0008164300920101
Nelson N. Tenório, Gisele Caroline Urbano Lourenço, Mariana Oliveira, Steffi Aline Stark Becker, Fabrício Tomaz Bernardelli, Hassan Atifi, N. Matta
Hackathons are events that have become increasingly common around the world. This kind of event, described as a programming marathon, is based on problem-solving that can go beyond the technological boundary. This paper presents the findings of an international hackathon to aid its organizers to rethink their strategies to improve the development of the team’s creativity to solve the challenge proposed. The paper summarizes qualitative research based on interviews and observations which point out that the organizers should consider strategies to improve knowledge application, resolving conflicts, individual learning, and experienced emotions, during pre-hackathon as well as post-hackathon events. Our findings could leverage the innovation, creativity, and knowledge sharing and creation within hackathons.
{"title":"Rethinking Strategies of Hackathons to Increase Team's Creativity: Findings of a Qualitative Research","authors":"Nelson N. Tenório, Gisele Caroline Urbano Lourenço, Mariana Oliveira, Steffi Aline Stark Becker, Fabrício Tomaz Bernardelli, Hassan Atifi, N. Matta","doi":"10.5220/0008164300920101","DOIUrl":"https://doi.org/10.5220/0008164300920101","url":null,"abstract":"Hackathons are events that have become increasingly common around the world. This kind of event, described as a programming marathon, is based on problem-solving that can go beyond the technological boundary. This paper presents the findings of an international hackathon to aid its organizers to rethink their strategies to improve the development of the team’s creativity to solve the challenge proposed. The paper summarizes qualitative research based on interviews and observations which point out that the organizers should consider strategies to improve knowledge application, resolving conflicts, individual learning, and experienced emotions, during pre-hackathon as well as post-hackathon events. Our findings could leverage the innovation, creativity, and knowledge sharing and creation within hackathons.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122170642","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 : 2019-09-17DOI: 10.5220/0008053100560061
Åsa Devine, M. Sandell
In the quest for change, management at times introduces vague management concepts in organizations. The use of such a concept instigates translation journeys, which may end in affecting an organizations competitive advantage. While performance outcomes of change are pertinent, it is the journey towards change that is emphasized here based on translation theory. This study explores the intra-organizational journey of the vague concept “knowledge platform” within a business school. The empirical data originates from 102 written documents dating from 2009 to 2018 produced by faculty and departmental levels. The data coding reveals six distinct subseries which together depicts how the knowledge platform passes through phases of de-contextualization and contextualization as it travels iteratively between the source and recipient contexts.
{"title":"Exploring the Intra-organizational Journey of a Vague Management Concept through a Translation Theory Lens","authors":"Åsa Devine, M. Sandell","doi":"10.5220/0008053100560061","DOIUrl":"https://doi.org/10.5220/0008053100560061","url":null,"abstract":"In the quest for change, management at times introduces vague management concepts in organizations. The use of such a concept instigates translation journeys, which may end in affecting an organizations competitive advantage. While performance outcomes of change are pertinent, it is the journey towards change that is emphasized here based on translation theory. This study explores the intra-organizational journey of the vague concept “knowledge platform” within a business school. The empirical data originates from 102 written documents dating from 2009 to 2018 produced by faculty and departmental levels. The data coding reveals six distinct subseries which together depicts how the knowledge platform passes through phases of de-contextualization and contextualization as it travels iteratively between the source and recipient contexts.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116038261","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 : 2019-09-17DOI: 10.5220/0008362701390145
Sangramsing Kayte, Peter Schneider-Kamp
This research article proposes a new method of automatized text generation and subsequent classification of the European Union (EU) Tender Electronic Daily (TED) text documents into predefined technological categories of the dataset. The TED dataset provides information about the respective tenders includes features like Name of project, Title, Description, Types of contract, Common procurement vocabulary (CPV) code, and Additional CPV codes. The dataset is obtained from the SIMAP-Information system for the European public procurement website, which is comprised of tenders described in XML files. The dataset was preprocessed using tokenization, removal of stop words, removal of punctuation marks etc. We implemented a neural machine learning model based on Long Short-Term Memory (LSTM) nodes for text generation and subsequent code classification. Text generation means that given a single line or just two or three words of the title, the model generates the sequence of a whole sentence. After generating the title, the model predicts the main applicable CPV code for that title. The LSTM model reaches an accuracy of 97% for the text generation and 95% for code classification using Support Vector Machine(SVM). This experiment is a first step towards developing a system that based on TED data is able to auto-generate and code classify tender documents, easing the process of creating and disseminating tender information to TED and ultimately relevant vendors. The development and automation of this system will future vision and understand current undergoing projects and the deliveries by a SIMAP-Information system for European public procurement tenders organisation based on the tenders published by it.
{"title":"A Mixed Neural Network and Support Vector Machine Model for Tender Creation in the European Union TED Database","authors":"Sangramsing Kayte, Peter Schneider-Kamp","doi":"10.5220/0008362701390145","DOIUrl":"https://doi.org/10.5220/0008362701390145","url":null,"abstract":"This research article proposes a new method of automatized text generation and subsequent classification of the European Union (EU) Tender Electronic Daily (TED) text documents into predefined technological categories of the dataset. The TED dataset provides information about the respective tenders includes features like Name of project, Title, Description, Types of contract, Common procurement vocabulary (CPV) code, and Additional CPV codes. The dataset is obtained from the SIMAP-Information system for the European public procurement website, which is comprised of tenders described in XML files. The dataset was preprocessed using tokenization, removal of stop words, removal of punctuation marks etc. We implemented a neural machine learning model based on Long Short-Term Memory (LSTM) nodes for text generation and subsequent code classification. Text generation means that given a single line or just two or three words of the title, the model generates the sequence of a whole sentence. After generating the title, the model predicts the main applicable CPV code for that title. The LSTM model reaches an accuracy of 97% for the text generation and 95% for code classification using Support Vector Machine(SVM). This experiment is a first step towards developing a system that based on TED data is able to auto-generate and code classify tender documents, easing the process of creating and disseminating tender information to TED and ultimately relevant vendors. The development and automation of this system will future vision and understand current undergoing projects and the deliveries by a SIMAP-Information system for European public procurement tenders organisation based on the tenders published by it.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134001952","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 : 2019-09-17DOI: 10.5220/0008366303830390
Sanae Yamashita, Y. Kami, Noriyuki Okumura
The existing systems to estimate emotions extract some emotions from the given sentences in any and all circumstances. However, there are many sentences whoever cannot estimate emotional features. It follows that the systems should not extract some emotions all the time. Systems should return "It is difficult to estimate" as we humans do so. This paper proposes a method to classify Japanese sentences based on the difficulty level of emotion estimation. Proposed system judges the difficulty level to estimate emotions using three conditions (negative expressions, emotive expression, and machine-learned classifications). As a result, proposed system achieved 0.8 of F1 score based on mechanical evaluation.
{"title":"A Classification Method for Japanese Sentences based on the Difficulty Level of Emotion Estimation","authors":"Sanae Yamashita, Y. Kami, Noriyuki Okumura","doi":"10.5220/0008366303830390","DOIUrl":"https://doi.org/10.5220/0008366303830390","url":null,"abstract":"The existing systems to estimate emotions extract some emotions from the given sentences in any and all circumstances. However, there are many sentences whoever cannot estimate emotional features. It follows that the systems should not extract some emotions all the time. Systems should return \"It is difficult to estimate\" as we humans do so. This paper proposes a method to classify Japanese sentences based on the difficulty level of emotion estimation. Proposed system judges the difficulty level to estimate emotions using three conditions (negative expressions, emotive expression, and machine-learned classifications). As a result, proposed system achieved 0.8 of F1 score based on mechanical evaluation.","PeriodicalId":133533,"journal":{"name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132819373","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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