KMIS 2019 Abstracts

Full Papers Short Papers
Full Papers
Paper Nr: 4
Title:

Knowledge-based Service for African Traditional Herbal Medicine: A Hybrid Approach
Authors:

Samuel O. Devine, Emmanuel A. Kolog, Erkki Sutinen and Ilari Sääksjärvi
Abstract: Globally, the acceptance and use of herbal and traditional medicine is on the rise. Africa, especially Ghana, has its populace resorting to African Traditional Herbal Medicine (ATHMed) for their healthcare needs due to its potency and accessibility. However, the practice involving its preparation and administration has come into question. Even more daunting is the poor and inadequate documentation covering the preservation and retrieval of knowledge on ATHMed for long-term use, resulting in invaluable healthcare knowledge being lost. Consequently, there is the need to adopt strategies to help curtail the loss of such healthcare knowledge, for the benefit of ATHMed stakeholders in healthcare delivery, industry and academia. This paper proposes a hybrid-based computational knowledge framework for the preservation and retrieval of traditional herbal medicine. By the hybrid approach, the framework proposes the use of machine learning and ontology-based techniques. While reviewing literature to reflect the existing challenges, this paper discusses current technologies suited to approach them. This results in a framework that embodies an ontology driven knowledge-based system operating on a semantically annotated corpus that delivers a contextual search pattern, geared towards a formalized, explicit preservation and retrieval mechanism for safeguarding ATHMed knowledge.
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Paper Nr: 8
Title:

Exploring the Intra-organizational Journey of a Vague Management Concept through a Translation Theory Lens
Authors:

Åsa Devine and Michaela Sandell
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.
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Paper Nr: 11
Title:

Case Model for the RoboInnoCase Recommender System for Cases of Digital Business Transformation: Structuring Information for a Case of Digital Change
Authors:

Hans-Friedrich Witschel, Marco Peter, Laura Seiler, Soyhan Parlar and Stella G. Grivas
Abstract: In this work, we develop a case model to structure cases of past digital transformations which act as input data for a recommender system. The purpose of that recommender is to act as an inspiration and support for new cases of digital transformation. To define the case model, case analyses, where 40 cases of past digital transformations are analysed and coded to determine relevant attributes and values, literature research and the particularities of the case for digital change, are used as a basis. The case model is evaluated by means of an experiment where two different scenarios are fed into a prototypical case-based recommender system and then matched, based on an entropically derived weighting system, with the case base that contains cases structured according to the case model. The results not only suggest that the case model’s functionality can be guaranteed, but that a good quality of the given recommendations is achieved by applying a case-based recommender system using the proposed case model.
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Paper Nr: 15
Title:

Generation of Task Models from Observed Usage Application to Web Browsing Assistance
Authors:

Karim Sehaba and Benoît Encelle
Abstract: This work focuses on the extraction of knowledge from observed usage. More specifically, it aims to design a Web browsing assistance system that helps the user in carrying out his browsing task, or the designer in adapting or redesigning his Web application, according to real usage. The proposed approach consists of generating task models from interaction traces, which are then used to perform assistance. The characteristics to be supported by a task metamodel for assistance purposes are first identified and then confronted with the characteristics of existing task metamodels. This first study led us to choose the ConcurTaskTrees (CTT) metamodel. We then developed processes to generate CTT task models from traces. Finally, to validate our approach, we conducted unit testing and validation based on two real web browsing scenarios.
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Paper Nr: 18
Title:

InnoDeck: Card based Innovation Support - A Modular Human-Centered Approach to Facilitate Innovation Workshops
Authors:

Harriet Kasper, Monika Kochanowski and Verena Pohl
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.
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Paper Nr: 20
Title:

Rethinking Strategies of Hackathons to Increase Team’s Creativity: Findings of a Qualitative Research
Authors:

Nelson Tenório, Gisele U. Lourenço, Mariana Oliveira, Steffi S. Becker, Fabrício T. Bernardelli, Hassan Atifi and Nada Matta
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.
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Paper Nr: 21
Title:

Assist the Sustainable Development within Industries through the Territorial Knowledge Ontology
Authors:

Amer Ezoji and Nada Matta
Abstract: Studying of territory as the main dimension of sustainability impact in the industrial activities and decision makers’ information when considering the sustainability in their activities. Therefore, exploring of territorial knowledge in order to integrate into industries activates is needed. So, this research is proposed a descriptive ontology for territorial knowledge (DOTK) which make explicit the knowledge of actors within industries about the sustainable development goal. Also, implementation of this ontology to a real case is proved that it can identify the intangible and tangible resources of territory for sustainability. Moreover, a semantic graph is proposed which shows the relationships between entities of DOTK ontology. Final validation of DOTK ontology is performed by the interview with the organizations of sustainable development implementation.
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Paper Nr: 23
Title:

Investigation and Identification of Quality Dimensions in e-Business
Authors:

Prodromos D. Chatzoglou, Antonios Christidis, Vasileios Aggelidis and Symeon Symeonidis
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.
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Paper Nr: 26
Title:

A CBR MAC/FAC Approach for Cloud Management
Authors:

Eric Kübler, Miriam Herold and Mirjam Minor
Abstract: In modern working world, efficiency is important. This includes the execution of workflows. Cloud computing offers is costumers, pay as you go pricing models which can be used to improve the cost efficiency of workflows execution. To benefit form this pricing model, a smart cloud management concept to assign tasks to cloud resources is required. Simple solutions struggle with over-, and under-provisioning problems or lack the needed flexibility. In this paper we present our CBR approach with MAC/FAC similarity function and experiments for task placements in cloud computing. Therefore we implemented a prototype and compared the results with the results of human experts.
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Paper Nr: 55
Title:

Consumers’ Willingness to Purchase High Animal-welfare Beef Products in Japan: Exploratory Research based on the Theory of Planned Behavior
Authors:

Takuya Washio, Takumi Ohashi and Miki Saijo
Abstract: Agricultural industry needs to face both increasing demand from a growing population and transform in order to enhance its sustainability. Animal welfare, an aspect of this transformation, is still an unfamiliar concept for consumers in Japan, although this is expected to catch up with the global trend. Researchers have been working around the world to explore consumer behavior in markets, but few such studies have been performed in Japan. This study aimed to explore consumer behavior concerning high animal-welfare products in Japan, using the Theory of Planned Behavior (TPB). An online questionnaire was used to identify consumer characteristics and perceived attributes of high animal-welfare products among 620 consumers. We found that awareness of animal welfare was still low among Japanese consumers, and was not related to demographic characteristics. Two components out of three which are considered in TPB, attitude and social norm, were likely related to consumers’ willingness to purchase high animal-welfare products. Consumers’ empathy with, and psychological responses to, farmers and animals are suggested to be related to their willingness to purchase.
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Paper Nr: 56
Title:

A Mixed Neural Network and Support Vector Machine Model for Tender Creation in the European Union TED Database
Authors:

Sangramsing Kayte and Peter Schneider-Kamp
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.
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Paper Nr: 69
Title:

Measures of Effectiveness (MoEs) for MarineNet: A Case Study for a Smart e-Learning Organization
Authors:

Ying Zhao, Tony Kendall and Riqui Schwamm
Abstract: MarineNet is an US Marine Corps system that provides one-stop shop and 24/7 access to thousands of online courses, videos, and educational materials for the whole Marine Corps. The need for the e-learning organization is to identify the significant capabilities and measures of effectiveness (MoEs) for appropriate e-learning, and then design and identify how to collect and analyze the big data to achieve an effective integration of analytic within the MarineNet learning ecosystem. We show this as a use case and the sample data of the MarineNet CDET website on how to design MoEs that can guide how to collect big data, analyze and learn from users’ behavior data such as clickstreams to optimize all stakeholders’ interests and results for a typical e-organization. We also show the processes and deep analytics for exploratory and predictive analysis. The framework helps e-organization determine where investment is best spent to create the biggest impact for performance results.
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Short Papers
Paper Nr: 9
Title:

Information Modeling of Rule-based Logistic Planning Processes Kanban Loop Planning Supported by a Workflow Engine
Authors:

Stephanie Bäuml, Daniel Hilpoltsteiner, Sebastian Meißner and Christian Seel
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.
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Paper Nr: 12
Title:

Identifying Different Types of Social Ties in Events from Publicly Available Social Media Data
Authors:

Jayesh P. Gupta, Hannu Kärkkäinen, Karan Menon, Jukka Huhtamäki, Raghava R. Mukkamala, Abid Hussain, Ravi Vatrapu, Jari Jussila, Henri Pirkkalainen and Thomas Olsson
Abstract: Tie strength is an essential concept in identifying different kind of social ties - strong ties and weak ties. Most present studies that evaluated tie strength from social media were carried out in a controlled environment and used private/closed social media data. Even though social media has become a very important way of networking in professional events, access to such private social media data in those events is almost impossible. There is very limited research on how to facilitate networking between event participants and especially on how to automate this networking aspect in events using social media. Tie strength evaluated using social media will be key in automating this process of networking. To create such tie strength based event participant recommendation systems and tools in the future, first, we need to understand how to evaluate tie strength using publicly available social media data. The purpose of this study is to evaluate tie strength from publicly available social media data in the context of a professional event. Our case study environment is community managers’ online discussions in social media (Twitter and Facebook) about the CMAD2016 event in Finland. In this work, we analyzed social media data from that event to evaluate tie strength and compared the social media analysis-based findings with the individuals’ perceptions of the actual tie strengths of the event participants using a questionnaire. We present our findings and conclude with directions for future work.
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Paper Nr: 13
Title:

Revisiting Social Media Tie Strength in the Era of Data Access Restrictions
Authors:

Jayesh P. Gupta, Hannu Kärkkäinen, Osku Torro and Raghava R. Mukkamala
Abstract: The strength of social ties has an impact on how information is transferred and processed in a social network. Many studies have used social media data to evaluate tie strength. However, many of these studies were done at a time when social media data could be accessed legally without using the social media platform API. In the past few years, there have been significant changes in the data access policies of these platforms, which has led to a considerable reduction in the possibilities of using social media data for tie strength evaluation. The paper aims to study the impact of the data access policy changes of major social media platforms on the existing social media based tie strength models. The findings of this study show that the existing social media based tie strength models can no longer be utilized in their current form. Our study suggests that there is either a need to modify the existing social media based tie strength models or to develop new social media based tie strength models that reflect the recent changes in the data access policies.
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Paper Nr: 16
Title:

Knowledge Requirements for Sustainable Smart Service Design
Authors:

Jesus V. Cedeño, Lea Hannola and Ville Ojanen
Abstract: Recent research have addressed the topic of smart services from distinct angles, covering both technical and business aspects. However, a holistic approach in development processes of such services have yet to be fully covered. Therefore, this paper proposes an elicitation of requirements process as the initial step of a smart service design approach. The process takes information and knowledge needs as its core element for development, also considering customer centricity, service lifecycle, and sustainability concerns. A text mining tool was used to discover the unknown knowledge requirements from different text-data sources presented in a case ecosystem. After a co-occurrence analysis performed by our text mining software, we extracted the most relevant natural linguistic elements, which are expressed as knowledge requirements. The proposed elicitation process aims to lay the foundations for further propositions with a holistic point of view. Future research could aim the application of other technologies and methods for service design, as well as a broader approach in business processes and interdisciplinary cooperation.
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Paper Nr: 28
Title:

Material Recognition for Mixed Reality Scene including Objects’ Physical Characteristics
Authors:

Kenzaburo Miyawaki and Soichi Okabe
Abstract: Mixed Reality (MR) is a technique to represent scenes which make virtual objects exist in the real world. MR is different from Augmented Reality (AR) and Virtual Reality (VR). For example, in MR scenes, a user can put a virtual Computer Graphics (CG) object on a desk of the real world. The virtual object can interact with the real desk physically, and the user can see the virtual object from every direction. However, MR only uses position and shape information of real world objects. Therefore, we present a new MR scene generator considering real world objects’ physical characteristics such as friction, repulsion and so on, by using material recognition based on a deep neural network.
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Paper Nr: 29
Title:

Fruitful Synergies between Computer Science, Historical Studies and Archives: The Experience in the PRiSMHA Project
Authors:

Annamaria Goy, Cristina Accornero, Dunia Astrologo, Davide Colla, Matteo D’Ambrosio, Rossana Damiano, Marco Leontino, Antonio Lieto, Fabrizio Loreto, Diego Magro, Enrico Mensa, Alice Montanaro, Valeria Mosca, Stefano Musso, Daniele P. Radicioni and Cristina Re
Abstract: In this paper we present the mid-term results of the PRiSMHA project, aimed to contribute in building a digital “smart archivist”, i.e., a web-based system providing an innovative access to historical archives. Such a system is endowed with a semantic layer over existing archival metadata, including computational ontologies and a knowledge base, containing a formal description of the content of the documents stored in the archives. The paper focuses on the fruitful synergies employed to reach its goal. In particular, it explains the steps of the “spiral” process implemented for creating a full-fledged formal semantic model, through the interaction between computer scientists, historians, and archivists. The paper also presents some “core side-effects” of this process: an analytical card for each document has been produced, all selected documents have been digitized, OCR-ized (when possible), and linked to a record on the archival platform. This experience enabled us to define a virtuous procedural model, from the paper documents up to the digital “smart archivist”, based on a close collaboration between universities and cultural and historical institutions.
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Paper Nr: 32
Title:

Mobile Subject: M-Learning Student Profile
Authors:

Laura Krimberg, Anna S. Sonego, Leticia R. Machado, Ketia K. Araújo da Silva and Patricia A. Behar
Abstract: This article aims to present the profile of M-Learning students, called Mobile Subject. For this, a mapping of their characteristics related to mobile learning was carried out. The study establishes a relationship between students engaged in educational activities through their mobile devices. For this purpose, questionnaires were applied to students from two undergraduate and two extension courses, characterizing research as a case study, with a qualitative-quantitative approach. The analysis consisted in the evaluation of the data, outlining the profile of the Mobile Subject by identifying four main characteristics: Speed, Connectivity, Immersion in Social Media and Multitasking and their respective elements. It is hoped that this research may contribute to new discussions about the profile of the Mobile Subject student, proposing parameters and new strategies focused on mobile learning.
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Paper Nr: 33
Title:

Collaborative Knowledge Management in University Alliances with Information Models
Authors:

Claudia Doering and Christian Seel
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.
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Paper Nr: 35
Title:

Noospheric Way of Organizing Knowledge in the Knowledge Bases of Innovate Importance
Authors:

Yurii Pikalov
Abstract: A major part of the flow of new knowledge is knowledge about facts. Its value is inversely proportional to the increasing amount. It can be enhanced by the way of conceptualization of knowledge, developing and applying the innovative ways of its organization. It is suggested to use the way of organizing knowledge based on the model of cognition of objects as spheres of phenomena; convergence of the sphere of natural and conscious phenomena, models of phylogenesis (Paradigm Innovative Development) and ontogenesis (Vertical Integration and Parabola of Knowledge) of knowledge as well as based on the paradigm of the ontology of sign constructions. The above-listed tools have been obtained as a result of studies of M.V. Polyakov’s scientific school, and they have been adapted by the author of the paper to develop architecture of the knowledge bases functioning as a part of innovative systems of venture enterprises.
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Paper Nr: 36
Title:

Enhancing the Use of Government Mobile Applications: The Perspective of Citizen-initiated Contacts Theory
Authors:

Ching S. Yap, Rizal Ahmad, Farhana T. Newaz and Cordelia Mason
Abstract: The ubiquity of the Internet and mobile technologies has increased the adoption rate of e-government services in Malaysia. The focus of Malaysian e-government initiatives is now shifting to mobile applications. Selected visits done on portals of government mobile applications indicate a low level of use, which suggests the need to identify factors that affect the use and non-use of government mobile applications. The citizen-initiated contacts theory can be useful in explaining active usage behaviours and making citizens to initiate contacts with the governments. Extensive studies have been done on citizens’ needs for government services and their awareness of the availability of various methods of contacting the government such as through government office visits, telephone calls, and government websites and portals. Unfortunately, similar studies on the use of government mobile applications by citizens are relatively scarce. Studies on the needs for government services and awareness of citizens of government mobile applications will enable us to understand factors contributing to increasing the adoption rate of the mobile applications. This study is timely as it aims at identifying the profile of users and non-users in terms of their socioeconomic characteristics and examining potential influences of perceived needs, perceived security, and awareness on the use of government mobile applications. Using quota sampling technique, primary data will be collected from 400 citizens (200 users and 200 non-users of government mobile applications) in Malaysia via a questionnaire survey. It is hoped that this research will contribute to e-government and m-government literature, from the perspective of citizen-initiated contacts theory, and provide useful implications for government policy in enhancing the use of government mobile applications.
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Paper Nr: 37
Title:

Towards Improving Knowledge Capitalization System for Sport Events Legacy
Authors:

Malika Grim-Yefsah and Benedicte Bucher
Abstract: Knowledge Management is a way to answer the problem of capitalizing on the companies’ knowledge. Knowing that hosting sports events (SE) requires organizers to learn from past events to not repeat mistakes, we examine knowledge management in a sport events legacy (SEL). Thus, in this paper, we propose in first, two conceptual models based on UML; one for the SE, another for SEL. Secondly, we propose a system to manage SEL to assist in the process of data acquisition and capitalization on SE knowledge. This system helps to create an open collaborative platform for consultation, visualization of the spinoffs of sport events. It is intended to be used by public policies, territories, journalists, citizens, historians and all others. We propose also to take into account the spatiotemporal aspects of SE.
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Paper Nr: 38
Title:

The Overview of Digital Twins in Industry 4.0: Managing the Whole Ecosystem
Authors:

Cristina R. Monsone, Eunika Mercier-Laurent and Jósvai János
Abstract: Industry 4.0 aims in renewing processes using available technologies such as robots and other AI techniques implemented in IoT, drones, digital twins and clouds. This metamorphose impacts the whole industry ecosystems including people, information processing and business models. In this context, the accumulated knowledge and know-how can be reused but has also to evolve. This paper focus on the role of digital twins in transforming industrial ecosystems and discuss also the environmental impact.
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Paper Nr: 40
Title:

Co-creating Digital Services for Citizens: Activity Theory Analysis
Authors:

Jari Jussila, Joni Kukkamäki and Nina Helander
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.
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Paper Nr: 42
Title:

Towards Data Awareness by Socio-technological Knowledge Management
Authors:

Alexander Heußner, Moritz Höser and Sven Ziemer
Abstract: In today’s data-centric world, the data-awareness challenge is a crucial touchstone to existing knowledge management technologies. Adaptive, stakeholder-centric knowledge modelling approaches provide a solid ground to tackle this challenge and open the door to enrich knowledge management by a socio-technological perspective. This paper proposes the use of a socio-technological approach to overcome the data-awereness challenge by treating knowledge on data as a crucial business asset. Here, a data awareness generating, iterative, incremental knowledge elicitation technique based on a multi-perspective, multi-modal diagrammatic knowledge representation language serves as proof of concept.
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Paper Nr: 43
Title:

Blockchain Certification and Granular Editing Permissions in Document Management System
Authors:

Filippo E. Pani, Giacomo Ibba, Michele Marchesi, Andrea Pinna, Simone Porru, Roberto Tonelli and Bartolomeo Valcalda
Abstract: Ever-growing digitalization and increasingly competitive markets are driving industry and the public sector into fast-paced transformation. Competitive advantage is being acquired through technology investments made possible by previously unavailable resources, freed by process automation, simplification, and rationalization. Under these contingencies, we propose an innovative document management platform, featuring a collaborative document editing technique and a blockchain certification procedure. The two proposing parties - a private company and an academic organization - mutually agreed on employing open-source technologies as a strategic means to promote software reuse and developer communities’ support, and consequently reduce implementation costs and ensure interoperability.
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Paper Nr: 46
Title:

A Framework for the Assessment and Training of Software Refactoring Competences
Authors:

Thorsten Haendler and Gustaf Neumann
Abstract: Long-living software systems are becoming increasingly complex and difficult to maintain. Software refactoring is considered important to achieve maintainability and extensibility of a software system over time. In practice, it is still often neglected, partly because of costs, the perceived risks of collateral damage and difficulties of individuals working on certain components of complex software. It is therefore important for software projects that software developers have the appropriate skills and competences to efficiently perform software refactoring. However, so far there is no systematization of competences in software refactoring to guide in the assessment or training of competences, e.g., for planning or evaluating training activities and paths. In this paper, we address this need by presenting a competence framework for software refactoring by applying Bloom’s revised taxonomy for educational objectives. In particular, we specify competence levels by combining knowledge and cognitive-process dimensions. Via a case study with two existing training environments (i.e. a tutoring system and a serious game), we demonstrate by example that the framework can support (1) in analyzing the competence levels addressed by the training environments and (2) in reflecting training paths for software refactoring. Finally, we discuss the limitations and the further potential of the framework.
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Paper Nr: 49
Title:

Measuring Individuals’ Knowledge, Attitude and Behaviour on Specific Ocean Related Topics
Authors:

Conor McCrossan and Owen Molloy
Abstract: In order to measure the effectiveness of Ocean Literacy (OL) tools we can measure people’s knowledge of, and attitude and behaviour towards, specific ocean-related topics, both before and after their use of the tool. The research described in this paper aims at development of more accurate, focused survey tools. In particular we are interested in ensuring that we can accurately assess knowledge on specific topics, rather than assessing broad ocean literacy levels. Surveys were created to measure the levels of knowledge, attitude, and behaviour of university students. The topics which the surveys focused on were micro-plastics, coastal tourism, and sustainable fisheries. The knowledge, attitude, and behaviour questions in the surveys are based on work carried out as part of the H2020 ResponSEAble project on Ocean Literacy. The results show that while the students have a high level of pro-ocean-environmental attitude, their existing behaviour is low to medium, and their future intended behaviour is at a higher level than their existing behaviour. The findings provide useful pointers on how to improve both the ocean literacy tools (no statistically significant correlation between knowledge and either attitude or behaviour) as well as the design of the survey and questions themselves.
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Paper Nr: 50
Title:

Prediction of Public Procurement Corruption Indices using Machine Learning Methods
Authors:

Kornelije Rabuzin and Nikola Modrušan
Abstract: The protection of citizens’ public financial resources through advanced corruption detection models in public procurement has become an almost inevitable topic and the subject of numerous studies. Since it almost always focuses on the prediction of corrupt competition, the calculation of various indices and indications of corruption to the data itself are very difficult to come by. These data sets usually have very few observations, especially accurately labelled ones. The prevention or detection of compromised public procurement processes is definitely a crucial step, related to the initial phase of public procurement, i.e., the phase of publication of the notice. The aim of this paper is to compare prediction models using text-mining techniques and machine-learning methods to detect suspicious tenders, and to develop a model to detect suspicious one-bid tenders. Consequently, we have analyzed tender documentation for particular tenders, extracted the content of interest about the levels of all bids and grouped it by procurement lots using machine-learning methods. A model that includes the aforementioned components uses the most common text classification algorithms for the purpose of prediction: naive Bayes, logistic regression and support vector machines. The results of the research showed that knowledge in the tender documentation can be used for detection suspicious tenders.
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Paper Nr: 51
Title:

Business Intelligence Process Model Revisited
Authors:

Pasi Hellsten and Jussi Myllärniemi
Abstract: Today many organizations have come to value knowledge as a production factor. Thus, there is a constant need for getting the information in and sorted. Business intelligence (BI) is a process for systematic acquiring, analyzing, and disseminating data and information from various sources to gain understanding about the business’s environment. This is required for supporting decisions for achieving organization’s business objectives. Literature has introduced models for planning and executing BI. However, as business environments and technologies evolve in a rapid pace, are the models still applicable? Not all recent issues are taken into consideration in the previous models. BI is considered to be integrated into business processes, so the similar evolution is expected to take place. There are two studies investigating BI instigating this study, but there are still questions to be answered. Literature on different models and findings of these studies were combined to form a vision to better match reality. Various issues like users’ active involvement, real-time analysis and presentation, and social media resources were brought up. Practitioners can use the approach to assess their current state of BI activities or planning the organization of BI program.
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Paper Nr: 54
Title:

Tacit Knowledge Transfer: Information Technology Usage in Universities
Authors:

Ritesh Chugh
Abstract: The importance of transferring tacit knowledge transfer is acknowledged in the literature, but the usage of information technology for tacit knowledge transfer is not well researched. Through a mixed methods approach, employing an online questionnaire and interviews, this study explored the perceptions of university academic staff with regards to information technology usage, specifically relating to the transfer of tacit knowledge. The study found a lack of specific tacit knowledge transfer technologies but relatively high use of communication tools, a need for training on the use of new information technology was identified and academic staff are generally quick to adapt to information technology. However, there appeared to be a lack of confidence in information technology for the transfer of tacit knowledge and staff willingness to use technology for sharing tacit knowledge was not high, exhibiting uncertainty. This study contributes to a better understanding of the usage of information technology for tacit knowledge transfer and its adaptability by university academics. The results of this study may stimulate future research by addressing sample size limitation and replication in a different organisational setting.
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Paper Nr: 59
Title:

Distributed Data Validation for a Key-value Store in a Decentralized Electric Vehicle Charging Network
Authors:

Benedikt Kirpes, Micha Roon and Christopher Burgahn
Abstract: The mobility sector experiences a fundamental shift to more connected, autonomous, shared and electric means of transportation. For an electric mobility system to function, an efficient and reliable electric vehicle charging network is required. The Open Charging Network, which is built and curated by the Share&Charge Foundation is a digital, open and decentralized infrastructure for operating and connecting assets of the e-mobility ecosystem like charge points and electric vehicles. In such a network validity and consistency of data are crucial. Since the underlying information system is designed based on distributed ledger technologies and distributed hash tables, also the validation of data for the respective key-value store should be implemented and executed in a distributed manner. In this paper, we contribute to the body of research by analyzing the current situation in distributed systems and presenting the design and development of a mechanism for a distributed data validation. We provide an outlook into the future implementation within the Open Charging Network, where the solution will be demonstrated in a suitable context. Further it will be evaluated regarding the primary requirement of data validity and secondary requirements such as availability, reliability and scalability.
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Paper Nr: 60
Title:

Discovering Collaborative and Inclusive Solutions to Co-create Multidimensional Value in Cross-sector Collaboration
Authors:

Vilma Vuori, Sanne Bor, Pia Polsa, Jonna Käpylä and Nina Helander
Abstract: This position paper introduces ongoing research efforts that addresses the ability of political and legal institutions and management practices to cope with complex environmental planning and policy-making problems in the Finnish context. The research applies a business perspective on collaborative governance solutions, with a focus on how organizations (public, private, third and fourth sector) can co-create shared value. This phenomenon is studied through a multi-case study of different environmental cases from Finland.
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Paper Nr: 62
Title:

A Multi Class Classification to Detect Original Form of Kaomoji using Neural Network
Authors:

Noriyuki Okumura and Rei Okumura
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.
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Paper Nr: 63
Title:

A Classification Method for Japanese Sentences based on the Difficulty Level of Emotion Estimation
Authors:

Sanae Yamashita, Yasushi Kami and Noriyuki Okumura
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.
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Paper Nr: 64
Title:

How 802.1x Enhances Knowledge Extraction from Large Scale Campus WiFi Deployment
Authors:

Mukhammad A. Setiawan
Abstract: In recent years, the world has witnessed how internet connectivity is exponentially growing in cities around the world. Universitas Islam Indonesia (UII) as one of biggest private universities in Indonesia is also seeing the similar trend like the rest of the world. With more than 700 high density access points and roughly 30,000 users, most of internet connectivity in campus is provided from WiFi access. After 802.1x WiFi authentication-method deployment, UII saw an opportunity to utilise WiFi metadata as a source of business intelligence. Previously, many business processes or managerial decisions in the university were decided by some hidden assumptions and approximations. These assumptions and approximations sometimes created sub-optimal managerial decisions. To improve the strategic decision, we proposed an evidence-based management based on WiFi data. We utilise this data to extract spatial knowledge, movement behaviour, seamless attendance record, and traffic analysis for marketing purpose. The results show promising result where many of university decision is helped by the result given from the knowledge extraction system. Managements can act faster as information is elicited from tacit knowledge within WiFi metada in real time and more accurate.
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Paper Nr: 65
Title:

Knowledge Management Models for the Smart Factory: A Comparative Analysis of Current Approaches
Authors:

Patrick Tinz, Janik Tinz and Stefan Zander
Abstract: This paper analyses current and well-known knowledge management models regarding their applicability to smart factories and the Industry 4.0. In form of a literature study, we surveyed the specific challenges and requirements that smart factories and the ongoing digital transition in the industrial sector introduce to knowledge management systems and models. In the second part, we then expound the extent to which those requirements are supported by well-established knowledge management models in form of a comparative analysis. A central result of this work is that an Industry 4.0 compliant knowledge management needs to incorporate aspects that emphasize human-machine and machine-machine interaction together with data protection and privacy concerns, besides other well-researched and established aspects.
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Paper Nr: 68
Title:

On Present Use of Machine Learning based Automation in Finance
Authors:

Vibha Tripathi
Abstract: In this paper, we survey the current known applications of Machine Learning based Data Analytics and automation in finance industry. We look into the challenges involved in furthering this technology, particularly in employing more Deep Learning approaches proven for successful automation in other domains. We enumerate observations on some of the barriers faced by the industry in effectively adopting and accelerating use of AI techniques, and finally propose more areas that we believe could further benefit from application of Machine Learning.
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Paper Nr: 72
Title:

Knowledge Management and Its Impact on Organizational Performance in the Private Sector in India
Authors:

Himanshu Joshi and Deepak Chawla
Abstract: The study proposes a comprehensive model comprising of various relationships between antecedents to effective Knowledge Management (KM) and organizational performance. A review of literature besides a focus group discussion and a personal interview were used to design an instrument and propose seven hypotheses. Data was collected from 127 managers working in private sector organizations in India. To test the hypotheses, Structural Equation Modelling (SEM) analysis through Partial Least Squares (PLS) was used. The results indicate that although all the hypotheses had the desired positive sign, five out of them were significant. This paper presents empirical evidence of the role of KM planning and design (KMPD), KM implementation and evaluation (KMIE), Technology in KM (TKM), Culture in KM (CKM), Leadership in KM (LKM) and Structure in KM (SKM) in enhancing organizational performance. Further, improvements in organizational performance leads to improvements in financial performance.
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Paper Nr: 73
Title:

Learning Triple Sequence Patterns in Knowledge Graphs to Predict Inconsistencies
Authors:

Mahmoud Elbattah and Conor Ryan
Abstract: The current trend towards the Semantic Web and Linked Data has resulted in an unprecedented volume of data being continuously published on the Linked Open Data (LOD) cloud. Massive Knowledge Graphs (KGs) are increasingly constructed and enriched based on large amounts of unstructured data. However, the data quality of KGs can still suffer from a variety of inconsistencies, misinterpretations or incomplete information as well. This study investigates the feasibility of utilising the subject-predicate-object (SPO) structure of KG triples to detect possible inconsistencies. The key idea is hinged on using the Freebase-defined entity types for extracting the unique SPO patterns in the KG. Using Machine learning, the problem of predicting inconsistencies could be approached as a sequence classification task. The approach applicability was experimented using a subset of the Freebase KG, which included about 6M triples. The experiments proved promising results using Convnet and LSTM models for detecting inconsistent sequences.
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Paper Nr: 5
Title:

Complex Authority Network Interactions in the Common Information Sharing Environment
Authors:

Harri Ruoslahti and Ilkka Tikanmäki
Abstract: European authorities collaborate as a community toward a coherent approach of situational understanding and open trust base information sharing. Innovation in multi-stakeholder collaboration networks involve complex collaboration between user community members, providing cross-sector, cross-border and cross-authority interaction and information sharing for collaborative situation awareness, and cooperation to increase safety and security. This study analyses data consisting of elements of use cases, collected from EU funded innovation projects. These were placed in a table based on similarity, difference and relevance to produce a classification. The results of this study indicate that use cases and scenarios engage end-users to co-create very practical descriptions providing input communication for innovation projects; also multi-actor projects are complex networks thus, this study contributes to the network approach of innovation. The implications of this study are that reaching faster innovation can be facilitated by leading and organising projects well, providing appropriate feedback to ensure project plans and results stay connected with project goals, fostering project continuums, and having e.g. higher education institutions bring problems as project ideas. The results, innovations, and feedback from research and innovation projects can benefit the European society.
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Paper Nr: 17
Title:

Evaluation of the Performance of Information Systems Implemented at the University of Tripoli, Libya
Authors:

Tareq S. Almigheerbi, David Ramsey and Anna Lamek
Abstract: Evaluating the performance of information systems (ISs) has emerged from the increasing influence of information technology on the effectiveness and efficiency of work processes in an organization (Bryman and Bell 2007). The aim of the overall study is to overcome a lack in the literature regarding the assessment of information systems (IS) in Libyan Higher Education (LHE), especially universities. The aim of this initial article is to focus on the University of Tripoli (UOT), a study that will be extended to other Libyan public universities. A description of the study, its significance and objectives and the methodology followed are presented, together with an analysis of the findings on the basis of appropriately chosen models. Finally, we assess the current level of ISs implemented in UOT by analyzing the findings based on these models.
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Paper Nr: 27
Title:

Elaboration of a Domain Model for Migrating the Monolithic Software Architecture of a Data Management Server into a Microservice Architecture
Authors:

Christian Zaschke
Abstract: This paper presents the necessary steps for creating a useful domain model for the Coalition Shared Data (CSD) domain. After describing the basic procedure of creating a domain model following the principles of domain-driven design (DDD) some concrete results achieved and experiences gained throughout this process are depicted. The domain model is the backbone for further development activities to migrate the monolithic software architecture of an existing data management server into a loosely coupled one according to the principles of microservice architectures. Major challenges with the creation of such a domain model and the benefits of loosely coupled software components in the CSD environment are outlined.
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Paper Nr: 30
Title:

An Overview of Blockchain for Higher Education
Authors:

Timothy Arndt
Abstract: Blockchain technology is one of the most widely acclaimed technologies of recent years. It enables the creation of distributed applications involving multiple actors or organizations in which transactions and data are not under the control of a central authority. Transactions are stored in a distributed public ledger in an immutable format in such a way that they can be verified by participants. This disintermediation promises to remove much of the “friction” (and lower costs) from distributed transactions by cutting out the intermediary party, thus enabling a variety of applications in finance, government, health, etc. This paper provides an overview of recent research in the application of blockchain technology to higher education for those who are interested in working in this area or just understanding how higher education may be positively impacted in the future by blockchain.
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Paper Nr: 39
Title:

Blockchain or Distributed Ledger Technology What Is in It for the Healthcare Industry?
Authors:

Nabil G. Badr
Abstract: Distributed ledger technology has seen its debut into communities of practice in healthcare where the reliance on knowledge sharing between participants postulates the foundations of secure and distributed knowledge, especially in some sensitive context, such as patient information. This knowledge is essential for the practice of care from patient contact to research, pharmaceutical supply chain, medication adherence and management of the plethora of bedside data into a collection of knowledge about the patient, essential to quality care. We introduce different schools of thought and implementation contexts of the distributed ledger technology or Blockchain. We provide an overview of Blockchain and Distributed Ledger Technology, focused on the Healthcare industry, as an initial assessment of the validity of an application of Distributed Ledger Technology in a specific knowledge management model to solve problems related to knowledge sharing in medical knowledge management systems. The paper summarizes some instances of most likely and unlikely uses of Blockchain in the healthcare setting. The paper also introduces a few use cases where some short-term benefits from such implementation.
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Paper Nr: 48
Title:

Knowledge Management in Healthcare: Information Requirements When Creating a Decision Support Tool in Radiology
Authors:

Mary Conlon and Owen Molloy
Abstract: Introduction: This empirical work examines the information requirements when undertaking a process modelling project in a Healthcare setting such as a CT (Computed Tomography) department. Using qualitative and quantitative methods we map the process, incorporating patient, staff and process related components so as to quantify resource utilisation and the service experienced by the patient. Method: In this study, semi structured interviews are used to identify patient complexity factors/characteristics. Process mapping and involvement of stakeholders are discussed as is the identification and analysis of data. A discrete event simulation (DES) model of the process is designed and performance metrics identified. Results: Yearly demand for Radiology services are increasing significantly. Factors determining patient complexity and variation include patient type, infectiousness, mobility, exam type and patient care needs. A strong correlation between age and infectiousness was observed. Conclusion: DES modelling, though data intensive, provides decision makers with insights into resource utilisation, process capacity, delays and disruptions and in doing so supports operations, management and the adoption of good practices in Healthcare.
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Paper Nr: 61
Title:

Challenges in Developing Data-based Value Creation
Authors:

Jussi Myllärniemi, Nina Helander and Samuli Pekkola
Abstract: Understanding data-based value creation helps organizations to enhance its decision-making and to renew their business operations. However, organizations aiming to use modern data analytics face several severe challenges that are not usually so evident or visible beforehand. In this paper we study a Finnish manufacturing company’s data empowerment and information and knowledge management practices in order to identify the potential challenges related to modern data-based value creation within industrial context. The empirical data is consisted of group discussions, relevant data sets acquired from the case company’s information systems, and lastly, 12 thematic interviews of the key actors in the company in relation to service development. The study provides valuable insights for managing service development and decision-making and creates understanding on data-based value creation. Achieved understanding provides meaningful knowledge for organizations utilizing or having plans to utilize, for example, data analytic methods in their businesses.
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Paper Nr: 66
Title:

Identification of User Activity Types using Issue Tracker Events
Authors:

Inna Kurnosova, Dmitrii Timofeev and Alexander Samochadin
Abstract: The paper studies the roles users play when contributing to open-source projects using modern code hosting and issue tracking platforms like GITHUB. Role identification has been performed using cluster analysis of the feature vectors generated from the events corresponding to user activity. The method was applied to three open-source projects of different sizes. The roles of maintainers and developers (core team), casual contributors, and watchers were identified, as well as the differences in work organization in these projects.
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Paper Nr: 71
Title:

How Are Situation Picture, Situation Awareness, and Situation Understanding Discussed in Recent Scholarly Literature?
Authors:

Ilkka Tikanmäki and Harri Ruoslahti
Abstract: There are several different definitions of situation awareness. However, all of them have in common is knowing and understanding of what is happening, an understanding of future changes or problems, and the prediction of the future situation and the decisions to be made on its basis. Situation picture and Situation Awareness are narrow. Situation understanding of the situation is the understanding of the decision-makers and their assistants about what has happened, the circumstances that have affected them, the goals of the different parties and the possible development options of the events needed to make decisions on a particular issue or subject. The results of this study indicate that the recent discussion in scholarly literature focus on situation awareness. A further result is that the context of the many of the recent literature are focused on issues related to cyber security or on intelligent systems, thus on IT systems, which are very relevant to modern situation awareness and understanding in these modern times where more and more systems become digitalized and interconnected..
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