KMIS 2021 Abstracts

Full Papers Short Papers
Full Papers
Paper Nr: 8
Title:

Allan Variance-based Granulation Technique for Large Temporal Databases
Authors:

Lorina Sinanaj, Hossein Haeri, Liming Gao, Satya P. Maddipatla, Cindy Chen, Kshitij Jerath, Craig Beal and Sean Brennan
Abstract: In the era of Big Data, conducting complex data analysis tasks efficiently, becomes increasingly important and challenging due to large amounts of data available. In order to decrease query response time with limited main memory and storage space, data reduction techniques that preserve data quality are needed. Existing data reduction techniques, however, are often computationally expensive and rely on heuristics for deciding how to split or reduce the original dataset. In this paper, we propose an effective granular data reduction technique for temporal databases, based on Allan Variance (AVAR). AVAR is used to systematically determine the temporal window length over which data remains relevant. The entire dataset to be reduced is then separated into granules with size equal to the AVAR-determined window length. Data reduction is achieved by generating aggregated information for each such granule. The proposed method is tested using a large database that contains temporal information for vehicular data. Then comparison experiments are conducted and the outstanding runtime performance is illustrated by comparing with three clustering-based data reduction methods. The performance results demonstrate that the proposed Allan Variance-based technique can efficiently generate reduced representation of the original data without losing data quality, while significantly reducing computation time.
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Paper Nr: 11
Title:

Participatory Design in Knowledge Management: An Opportunity to Small and Medium Business
Authors:

Amanda C. Teixeira, Nelson Tenório, Danieli Pinto, Nada Matta and Arthur C. Urpia
Abstract: Knowledge Management (KM) has become an essential driver to develop dynamic capabilities for businesses, organizational learning, and boost knowledge assets on behalf of competitiveness. Nonetheless, some critical success factors are hampering KM implementation, such as a lack of a KM strategy, cultural aspects, leadership, and technology. In this paper, we focused on KM implementation within Small and Medium Enterprises (SMEs). Our study explores if Participatory Design might be considered an opportunity for KM implementation in SMEs, by focusing on information technology as a critical success factor. To achieve this goal, we conducted an ethnographic study in the real environment of a consulting firm that is starting its own KM. Our results show that Participatory Design might be recommended to SMEs to implement KM, by taking advantage of already available, but underused technological tools.
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Paper Nr: 12
Title:

Eliciting Design Requirements for a Knowledge Management System in Cultural and Historical Heritage
Authors:

Néstor A. Nova and Rafael A. Gonzalez
Abstract: Designing a Knowledge Management System (KMS) from a socio-technical approach, usually includes elicitation of distinct, yet related, requirements from a user, system and domain level. However, this perspective presents shortcomings in terms of emergent and co-evolving interactions between agencies, particularly in highly-dynamic use contexts. To address these issues, this paper reports on a design science study that develops three design requirements grounded on sociomaterial (SM) tenets, and based on the study of imbrications between social and material agencies. We do so in the context of an interorganizational knowledge sharing network in the cultural and historical heritage domain, showing how the sociomaterial coordination practices could be better understood and directed to design practices. The findings reveal that a KMS derived from sociomaterial lens could potentially address different coordination issues that arise when sharing knowledge between heritage projects. Our artefact will be helpful in applying what have been mostly theoretical discussions on sociomateriality in highly-dynamic design settings.
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Paper Nr: 18
Title:

A Qualitative Study on the Categorisation and Prioritisation of Digital Competencies and Attitudes for Managers and Employees
Authors:

Seyma Kocak and Jan M. Pawlowski
Abstract: Digital transformation is a mega-trend and is perceived by many companies as an opportunity to remain competitive. The digital competencies and digital mindset of managers and employees play an important role. Without new competencies and changed attitudes, the transformation cannot be driven forward. Research on digital transformation competencies in the field of companies is limited and little evidence exists on which digital competencies, and skills are particularly important for companies. In this study, a systematic literature review was used to identify digital competencies and attitudes and classify them into six categories. With a focus group discussion, four digitalisation experts evaluated them by classifying and prioritising the competencies and attitudes on the pre-defined classifications. The results show that the majority of the identified competencies and attitudes are crucial for both managers and employees. For this purpose, the personal competencies, digital mindset and personality traits should be considered separately in order to investigate correlations in future research.
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Paper Nr: 27
Title:

Ingestion of a Data Lake into a NoSQL Data Warehouse: The Case of Relational Databases
Authors:

Fatma Abdelhedi, Rym Jemmali and Gilles Zurfluh
Abstract: The exponential growth of collected data, following the digital transformation of companies, has led to the evolution of databases towards Big Data. Our work is part of this context and concerns more particularly the mechanisms allowing to extract datasets from a Data Lake and to store them in a unique Data Warehouse. This one will allow to realize, in a second time, decisional analyses facilitated by the functionalities offered by the NoSQL systems (richness of the data structures, query language, access performances). This article proposes an extraction mechanism applied only to relational databases of the Data Lake. This mechanism relies on an automatic approach based on the Model Driven Architecture (MDA) which provides a set of schema transformation rules, formalized with the Query/View/Transform (QVT) language. From the physical schemas describing relational databases, we propose transformation rules that allow to generate a physical model of a Data Warehouse stored on a document-oriented NoSQL system (OrientDB). This paper presents the successive steps of the transformation process from the meta-modeling of the datasets to the application of the rules and algorithms. We provide an experimentation using a case study related to the health care field.
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Short Papers
Paper Nr: 3
Title:

Educating Educators about Virtual Reality in Virtual Reality: Effective Learning Principles Operationalized in a VR Solution
Authors:

Henri Pirkkalainen, Eria Makridou, Osku Torro, Panagiotis Kosmas, Charalambos Vrasidas and Kari Peltola
Abstract: Virtual Reality (VR) is transforming organizational training as users are immersed in realistic situations that may not exist yet in the physical world. The theoretical principles that make VR effective for learning in an immersive way are emerging in literature but remain poorly understood in practice nor have they been articulated in available VR solutions. This study demonstrates an IT artifact that is targeted at educators in companies and in higher education. The study synthesizes the key principles that make VR environments effective for learning, derives design principles for a corresponding artifact and demonstrates a VR solution that enables educators to absorb the principles of the power of VR by experiencing them first hand. Creating this artifact and delivering it to educators is important as they are responsible for diffusing VR to current employees in companies and future workforce in higher education.
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Paper Nr: 4
Title:

Knowledge Management for M&A Performance
Authors:

Ksenija Lace and Marite Kirikova
Abstract: This study focuses on knowledge management role in Mergers & Acquisitions (M&A). With high proportion of M&A failure, it is important to define possible ways to increase M&A success rates. Knowledge acquisition and management is the important part of M&A initiative, as it forms the foundation for M&A decisions. But with M&A high complexity, uncertainty and ambiguity, effectively organized knowledge management of M&A can become a challenge. In this article authors review current research on knowledge management in general and M&A specific knowledge management, identify the levels of M&A knowledge hierarchy, namely – individual M&A initiative scope, M&A initiatives in scope of one company, M&A initiatives in scope of the same industry. For each level success factors and obstacles for the effective knowledge management are defined. As a result, a proposal for M&A knowledge management high level framework is presented, accumulating all knowledge management levels, and defining the knowledge structure and flow between them.
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Paper Nr: 6
Title:

Factors Influencing the Usage Behavior of Digitalized Innovation Environments in Companies: A Qualitative in-Depth Analysis
Authors:

Lukas Hellwig, Jan M. Pawlowski and Michael Schäfer
Abstract: Digital Innovation Environments (DIE) as an umbrella term for facilities such as FabLabs, Makerspaces and Innovation Laboratories are already well known in the private and academic sectors. We focus on exploring the business aspects of DIEs and their role in digital transformation and creation of new opportunities for companies to increase their knowledge transfer and innovation capabilities. This research is dedicated to factors influencing the usage behavior of company employees of a DIE. From seven guided interviews, a total of 27 influencing factors in seven topics were identified through successive in-depth analysis and criterion-guided interpretation. These factors show the complexity of DIEs and at the same time lay the foundation for further research. In addition, they are a valuable insight for practice, as they can be used as a basis for developing new integration and cooperation structures.
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Paper Nr: 7
Title:

Data Governance Capabilities: Maturity Model Design with Generic Capabilities Reference Model
Authors:

Jan Merkus, Remko Helms and Rob Kusters
Abstract: To measure Data Governance, researchers designed a few Data Governance Maturity Models, but the used capabilities are very different, resulting in different measurement outcomes. This research aims to find a substantiated and validated set of Data Governance capabilities for Data Governance Maturity Models design. We apply the Maturity Model design procedure model of Becker et al. for methodology, which we complement with the Generic Capability Reference model to validate the capabilities. As results, we find a proper set of Data Governance capabilities for designing a Data Governance Maturity Models. Furthermore, we validate the set of DG capabilities against the GCR model, of which we conclude that the Generic Capability Reference model is valid as a reference model for the (re)design of Maturity Models.
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Paper Nr: 10
Title:

Service Innovation: A Knowledge-based Approach
Authors:

Kristina Buhagiar, Lisa A. Pace and Sandra M. Dingli
Abstract: Service innovation is generally conceptualized as a complex construct, the emergence of which is perceived as heterogeneous, situated and path-dependent on hard-to-replicate intra- and inter-organizational knowledge resources and processes. Due to the multidimensional nature of service innovation, studies in service innovation theory have generally explored the service innovation process by applying the capabilities approach, which focuses on firm-level routines for knowledge reconfiguration and service innovation, or by applying a sociological orientation, where emphasis is placed on investigating the role of human actors and human interactions in knowledge reconfiguration and service innovation. Building on these two approaches, this paper proposes a conceptual model on the service innovation process grounded in a knowledge-based approach. Emphasis in this model is placed on knowledge as a key resource and input to the service innovation process, while through bridging firm-level capabilities with individual-level processes, the multi-levels through which knowledge reconfiguration and service innovation may occur are illustrated.
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Paper Nr: 13
Title:

Knowledge Sharing Model for Integrated Development of Products in Machine-building (Results of the Exploratory Study)
Authors:

Diana Antonova, Svilen Kunev and Irina Kostadinova
Abstract: Every industrial enterprise should apply effective knowledge creation and transfer as an instrument for increasing its competitiveness in strategic, long-term horizon. It makes the research of different techniques adopted by companies for turning knowledge into a competitive advantage extremely important both for academics and practitioners. Research works that analyse the key characteristics of creation of new knowledge, exchange and knowledge transfer put focus mainly on activities for research and development (R&D) in knowledge intensive industrial sectors, such as biotechnologies and information and communication technologies. In this paper, we explore the knowledge creation, exchange and transfer in the traditional mechanical engineering in Bulgaria, Germany, Japan and the USA.
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Paper Nr: 16
Title:

Examining Competing Entrepreneurial Concerns in a Social Question and Answer (SQA) Platform
Authors:

Irawan Nurhas, Henri Pirkkalainen, Stefan Geisler and Jan Pawlowski
Abstract: This study aims to determine the competing concerns of people interested in startup development and entrepreneurship by using topic modeling and sentiment analysis on a social question-and-answer (SQA) website. Understanding the underlying concerns of startup entrepreneurs is critical to society and economic growth. Therefore, greater scientific support for entrepreneurship remains necessary, including data mining from virtual social communities. In this study, an SQA platform was used to identify the sentiment of thirty concerns of people interested in startup entrepreneurship. Based on topic modeling and sentiment analysis of 18819 inquiries in various forums on an SQA, we identified additional questions about founder figures, keys to success, and the location of a startup. In addition, we found that general questions were rated more positively, especially when it came to pitching, finding good sources, disruptive innovation, idea generation, and marketing advice. On average, the identified concerns were considered 48.9 percent positive, 41 percent neutral, and 10.1 percent negative. This research establishes a critical foundation for future research and development of digital startups by outlining a variety of different concerns associated with startup development in the digital age.
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Paper Nr: 19
Title:

Education Administrators’ Views about Knowledge Management
Authors:

Vasso Stylianou and Andreas Savva
Abstract: Sustainable development of human resources within Higher Education Institutions (HEI) involves utilizing the current human capital in ways which will allow it to persevere and grow individually and collectively. Such development may be achieved through knowledge management (KM) practices. Quality levels of education offerings may be elevated through the dissemination and enhancement of knowledge and practice, in learning and teaching, within and across universities and colleges. On its road to KM success an organization must give the necessary attention to a number of factors which are considered critical. Amongst these is the need to have a KM strategy and successful leadership. Thus, this research was initiated to investigate the viewpoints of top executives in a HEI regarding KM practices in education. Among other things, the administrators put emphasis on the need for efficient collaboration and communication channels to be established and enabled by the appropriate Information and Communication Technologies (ICTs). Their comments and highlights may serve to broaden our understanding regarding future steps in the process of establishing KM in HE.
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Paper Nr: 22
Title:

DA4RDM: Data Analysis for Research Data Management Systems
Authors:

M. A. Yazdi, David Schimmel, Marcel Nellesen, Marius Politze and Matthias Müller
Abstract: Research Data Management (RDM) systems are becoming an essential part of every researcher’s academic career. Often, researchers use various resources and web applications to handle their research data, causing complications for maintaining data and assessing research projects against FAIR principles. Consequently, RDM platforms help researchers with data administration tasks while providing the necessary tools for managing research projects. Furthermore, user engagement with such RDM platforms leaves traces of user interaction with research data; thus, studying user behaviors over research data becomes an exciting territory. However, running periodic data analysis studies proves to be a time-consuming and challenging task and requires the help of scientific staff to run pre-and post-processing pipelines per use case in order to be able to produce results that are usable by domain experts. This paper introduces Data Analysis for Research Data Management systems (DA4RDM) as a scalable web application that supports reusing pre-defined pre-and post-processing pipelines to enable domain experts to utilize the system without the need for scientific expertise. We use real data acquired from an RDM system, explain the tool’s applicability, and present the preliminary findings, demonstrating its use cases and capabilities.
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Paper Nr: 23
Title:

An Extensible Approach to Multi-level Ontology Modelling
Authors:

Hermann Bense and Bernhard G. Humm
Abstract: One major challenge in ontology engineering is deciding whether an entity should be modelled as a class or as an instance. Different modelling traditions and guidelines lead to different modelling decisions. This causes problems when integrating ontologies modelled according to different guidelines and trying to query over integrated ontologies. This article proposes a modelling approach which rigorously utilizes multi-level ontology modelling. In particular, multi-facet behaviour allows entities to be modelled as classes and instances simultaneously, where needed. It is argued that this supports simplicity, expressiveness, modularity, flexibility and extensibility of ontologies. The guidelines can be fully implemented using the W3C standards RDF/RDFS and SPARQL, allowing to implement inheritance behaviour using standardized inferencing mechanisms.
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Paper Nr: 24
Title:

Hybrid Model of Data Augmentation Methods for Text Classification Task
Authors:

Jia H. Feng and Mahsa Mohaghegh
Abstract: Data augmentation techniques have been increasingly explored in natural language processing to create more textual data for training. However, the performance gain of existing techniques is often marginal. This paper explores the performance of combining two EDA (Easy Data Augmentation) methods, random swap and random delete for the performance in text classification. The classification tasks were conducted using CNN as a text classifier model on a portion of the SST-2: Stanford Sentiment Treebank dataset. The results show that the performance gain of this hybrid model performs worse than the benchmark accuracy. The research can be continued with a different combination of methods and experimented on larger datasets.
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Paper Nr: 31
Title:

Factors Affecting Knowledge Transfer between Project Managers: A Conceptual Framework
Authors:

Nontouch Srisuksa, Mongkolchai Wiriyapinit and Pattarasinee Bhattarakosol
Abstract: The purpose of this study is to identify factors from the literature review that influence knowledge transfer among project managers at all levels. Findings indicate nine factors to potentially benefit knowledge transfer amongst project managers. They can be used by project managers involved in government agencies and private sector organizations as a preliminary guidance for the practice, improvement, and growth of project managers in order to achieve a competitive edge in business.
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Paper Nr: 9
Title:

Developing a Competency Framework for Intergenerational Startup Innovation in a Digital Collaboration Setting
Authors:

Irawan Nurhas, Stefan Geisler and Jan Pawlowski
Abstract: This study proposes a framework for the collaborative development of global start-up innovators in a multigenerational digital environment. Intergenerational collaboration has been identified as a strategy to support entrepreneurs during their formative years. However, integrating and fostering intergenerational collaboration remains elusive. Therefore, this study aims to identify competencies for successful global startups through intergenerational knowledge transfer. We used a systematic literature review to identify a competency set consisting of growth virtues, effectual creativity, technical domain, responsive teamwork, values-based organization, sustainable networking, cultural awareness, and facilitating intergenerational safety. The competency framework serves as a foundation for knowledge management research on the global innovation readiness of people to collaborate across generations in the digital age.
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Paper Nr: 14
Title:

ISO Standards Do Good: A New Perspective on Sustainable Development Goals
Authors:

Tzvetelin Gueorguiev and Irina Kostadinova
Abstract: The paper presents a new perspective to looking at ISO standards. Standards are usually considered as best practices or state-of-the-art industrial norms. For some, they are a source of vital information, and for others- standards are inhibitors for human creativity and innovation. Regardless of personal opinions and preferences, the greater good should unite humankind in pursuit of sustainability. In 2015, the United Nations (UN) adopted 17 Sustainable Development Goals (SDGs) as part of its 2030 Agenda for Sustainable Development. In 2018, ISO engaged with its contribution to the UN SDGs. This paper focuses on the relationship between SDGs and some of the most popular ISO standards for management systems.
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Paper Nr: 15
Title:

The Behavior Engineering Model Assesses Knowledge Transfer in the Training Environment: A Call for Performance Feedback
Authors:

Amy Rosellini and Nicole Bank
Abstract: Gilbert’s Behavior Engineering Model provides a framework for evaluating effective knowledge management systems. However, this model lacks continuous testing in the training landscape of companies today. This study tests the utility of the Behavior Engineering Model to identify a gap in a knowledge management system. The case study follows nine airline workers through a post-training performance assessment. Results reveal trainees obtain inaccurate performance reports from supervisors. The Behavior Engineering Model reveals a lack of supervisor feedback prevents knowledge transfer in this training environment. Both of these performance deficits are due to areas of need in Gilbert’s first component of the model: data. Utilizing contemporary studies calling for current research into Gilbert’s model, this case study aims to show how the Behavior Engineering Model is relevant to knowledge management systems today.
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Paper Nr: 17
Title:

Process Model for Digital Transformation of University Knowledge Transfer
Authors:

Claudia Doering, Finn Reiche and Holger Timinger
Abstract: The digital transformation is still a volatile concept with different understandings between researchers and practitioners. Nevertheless, digital technologies and concepts are finding their way into all areas of life, be it private or professional life. Even universities are not spared from digital transformation. They need to incorporate innovations not only within their curricula, but also in their inner structures and administration to ensure up to date research and transfer. Therefore, a structured model for the digital transformation of transfer in universities was created. The main purpose of this paper is to provide practical support and break down barriers in the digital transformation of knowledge transfer in and out of universities.
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Paper Nr: 21
Title:

Applying Lean Methodologies in Knowledge Creation: A Case in the Energy Sector
Authors:

Raiya Z. Al Busaidi and Kamla A. Al-Busaidi
Abstract: This study aims to explore the value of using lean methodologies (LM) on knowledge creation (KC) and consequently business processes. The need for a proper, efficient, and effective mechanism to create knowledge is crucial for organizations’ continuous improvement; this triggers stakeholder to utilize new technological solutions, like LM to boost knowledge creation and consequently sustain a continuous improvement in business processes. This study utilized semi-structured interview method with several open-ended and close-ended questions to get in-depth understanding of this stud objective. Five participants (lean and knowledge workers) of a leading organization in the energy sector were interviewed. Collected data analysed using thematic analysis. Results indicated that several LM add value to knowledge creation in the energy organization; Value Stream Mapping (VSM), Six Sigma and the A3 are the most frequently used as well as the most added value. The findings also indicated that the application of LM in KC, enhances business processes’ efficiency and effectiveness, but limited on innovation. This study provides insights for researchers and practitioners to applying the Lean Methodologies in KM to enhance the effectiveness, efficiency, and innovation of the business processes.
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Paper Nr: 26
Title:

Notions on Knowledge from Networks: Benchmarking in Public Sector
Authors:

Pasi Hellsten, Annamaija Paunu and Hannele Väyrynen
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. The knowledge is based on the own operation and the knowledge from external sources. Organizations are no islands but rather a part of their ecosystem. This means they need data and information from within but also from outside. One way to acquire this is benchmarking, done in networks, national and international. Organizations are advised to have a process for systematic acquiring, analysing, and disseminating data and information from various sources to gain understanding about their environment. This is needed to support decision-making to achieve organization’s objectives. However, as environments and technologies evolve in a rapid pace, newer ways emerge and not all of these are possible to be tried out. Benchmarking is a way to gather experiences from various directions so that the own decision-making is able to make informed decisions. Benchmarking should be embedded in business processes, so that the full effects thereof may benefit the operation. The paper is based on two studies investigating development schemes in a city operation where benchmarking is a part of the development tools. This paper brings up notions of the city’s way of approaching the organizational development and especially benchmarking, but there are still questions to be answered. Literature on different approaches and findings of these studies are to be combined to form a vision to better match with reality. Various issues like users’ active involvement, and further analysis are needed to fully grasp the big picture. Practitioners can use the approach to assess their current state of activities or planning the organization of benchmarking program.
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Paper Nr: 30
Title:

Automation of Service Desk: Knowledge Management Perspective
Authors:

Michal Dostál and Jan Skrbek
Abstract: In the current times, the need for quality and effective service support technologies is high. We can achieve good IT service operations that support good knowledge management practices by employing automation techniques and methods to the Service Desk systems. In our position paper, we look at the literature regarding Service Desk automation in relation to knowledge management. We then propose a theoretical model of Automatized Service Desk Systems that uses several techniques to help and automatize the process of user request resolution. Our proposed system employs text mining techniques, a virtual agent, an expert system, a customer intent detector, and a ticketing system.
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