KMIS 2022 Abstracts

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

Stream Data Access Control Model: The Need for Data Semantics
Authors:

Theppatorn Rhujittawiwat, Ahmed Saaudi and Csilla Farkas
Abstract: In this paper, we propose a semantics-based authorization model for stream data. We demonstrate that current authorization models are insufficient to provide dynamic access control for emerging technologies, such as the Internet of Things. We propose an authorization model using ontologies and rules to express security requirements for stream data. Our model supports secure interoperation and it is independent from the data syntax. We propose security object patterns to express access control needs. These patterns are associated with ontological concepts. Data instances inherit the security protection needs via stream pattern mapping. Security object patterns can incorporate domain, context, and temporal security restrictions. We show that our model is resistant to attacks that aim to bypass security restrictions by reconstructing stream data.
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Paper Nr: 9
Title:

Characteristics in Digital Organizational Culture: A Literature Review
Authors:

Seyma Kocak and Jan Pawlowski
Abstract: Organizational culture is an important aspect that supports a successful digital transformation in companies. It is an essential component of Digital Transformation and requires a crucial development of competencies, characteristics, and attitudes to create acceptance and openness among employees and managers and enable organizations to adapt to the transformation. This paper deals with the main characteristics and implications of digital organizational culture. A systematic literature review was conducted for the methodology. The identified characteristics were integrated into the defined dimensions (digital communication, proactivity, entrepreneurial orientation, personal competencies, and digital skills and attitudes). The results show that, e.g., fault tolerance, innovation, digital skills, and an agile mindset are central to developing a digital organizational culture. Furthermore, some characteristics (participation, teamwork, agile mindset, digital skills, problem-solving, risk-taking) positively affect the digital organizational culture. New research questions are derived from the results, which still show a need for research in IS research.
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Paper Nr: 12
Title:

Maturity Model for Assessment of Personalization of Higher Education
Authors:

Mariia Rizun and Małgorzata Pańkowska
Abstract: The paper presents the Education Personalization Maturity Model, developed to provide higher education institutions with a tool for assessment of the level of their personalized approach to their students. These days students tend to be much more engaged in the education process; they want their preferences to be considered in not only in the learning process but in all aspects connected with educational institutions. The presented model covers four major key process areas of practices at higher education institutions: students’ online platform/website, courses and fields of study, research activity, and other extracurricular activities. The Education Personalization Maturity Model is used to assess the personalization of 51 higher education institutions in 25 countries. The results of this assessment are presented and analyzed in the paper.
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Paper Nr: 13
Title:

Decision Support for Production Control based on Machine Learning by Simulation-generated Data
Authors:

Konstantin Muehlbauer, Lukas Rissmann and Sebastian Meissner
Abstract: Data-oriented approaches enable new opportunities to analyze processes and support managers in decision-making during planning and control tasks. In particular, the application of simulations has been a widely used tool for many years to evaluate alternative system configurations or to predict future process outcome. Due to a rapidly changing environment in a cross-linked domain such as production and logistics systems, more and more decisions have to be made in a shorter time under consideration of multi-factorial influences. Simulation based approaches often reach limits regarding time constraints assuming limited computing power. The article describes how data, generated by production and logistics simulation can be used to train a machine learning model. Thus, the generalized framework presented can be utilized to support decision-making during planning and control tasks. By applying the framework to a case study on order sequence optimization, it was possible to verify its feasibility and potential to improve the operational performance of a manufacturing system.
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Paper Nr: 23
Title:

Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness
Authors:

Otmane Azeroual, Joachim Schöpfel, Janne Pölönen and Anastasija Nikiforova
Abstract: Digitization in the research domain refers to the increasing integration and analysis of research information in the process of research data management. However, it is not clear whether it is used and, more importantly, whether the data are of sufficient quality, and value and knowledge could be extracted from them. FAIR principles (Findability, Accessibility, Interoperability, Reusability) represent a promising asset to achieve this. Since their publication, they have rapidly proliferated and have become part of (inter-)national research funding programs. A special feature of the FAIR principles is the emphasis on the legibility, readability, and understandability of data. At the same time, they pose a prerequisite for data for their reliability, trustworthiness, and quality. In this sense, the importance of applying FAIR principles to research information and respective systems such as Current Research Information Systems (CRIS), which is an underrepresented subject for research, is the subject of the paper. Supporting the call for the need for a ”one-stop-shop and register-once-use-many approach”, we argue that CRIS is a key component of the research infrastructure landscape, directly targeted and enabled by operational application and the promotion of FAIR principles. We hypothesize that the improvement of FAIRness is a bidirectional process, where CRIS promotes FAIRness of data and infrastructures, and FAIR principles push further improvements to the underlying CRIS.
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Paper Nr: 27
Title:

Drones for Civil Defense: A Case Study in the City of Niterói
Authors:

Carlos M. Bastos, Diego Passos, Walace M. Barbosa, Yuri S. Felipe, Thais B. Loureiro, Gilvane S. Dias and Fernanda O. Passos
Abstract: Nowadays, drones or Unmanned Aerial Vehicles (UAVs) are employed for several purposes such as delivering products, spreading pesticides on crops, providing internet access to remote areas, and taking videos and photos for entertainment. In the context of smart cities it is not different. Some cities have adopted drones for a number of important tasks, such as surveillance, traffic monitoring, and disaster management. Indeed, their ability of reaching difficult places and the possibility of carrying different sensors and actuators make those devices very flexible tools that can adapt to several use cases. Nevertheless, there are still obstacles — technical, regulatory or even social — that can hinder the applicability of drones to certain tasks. In this work, we report and analyze the use of drones by the Civil Defense Office of the city of Niterói, Brazil, as a case study. In recent years, the office has been increasingly adopting drones for automatizing or simplifying a number of processes with varying degrees of success, and intend to adopt information and knowledge management systems to support and optimize their use. We present a list of the current drone-aided tasks performed by the office, as well some potential applications that are not yet feasible for one reason or another. We further analyze those obstacles and discuss what can be done to address them.
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Paper Nr: 29
Title:

Exploring the Test Driven Development of a Fraud Detection Application using the Google Cloud Platform
Authors:

Daniel Staegemann, Matthias Volk, Maneendra Perera and Klaus Turowski
Abstract: The concept of big data hugely impacts today’s society and promises immense benefits when utilized correctly, yet the corresponding applications are highly susceptible to errors. Therefore, testing should be performed as much and rigorous as possible. One of the solutions proposed in the literature is the test driven development (TDD) approach. TDD is a software development approach with a long history but has not been widely applied in the big data domain. Nevertheless, a microservice-based test driven development concept has been proposed in the literature, and the feasibility of applying it in actual projects is explored here. For that, the fraud detection domain has been selected and a proof-of-concept online fraud detection platform is implemented, which processes real-time streaming data and filters fraudulent and legitimate transactions. After the implementation, an evaluation was carried out regarding test coverage and code quality. The automatic code analysis reports revealed that TDD had produced very reliable, maintainable, and secure code at the first attempt that is ready for production. Finally, the evaluation revealed that it is highly feasible to develop big data applications using the concept mentioned. However, choosing suitable services, tools, frameworks, and code coverage solutions can make it more manageable.
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Paper Nr: 34
Title:

Innovation in Boutique Hotels in Valletta, Malta: A Multi-level Investigation
Authors:

Kristina Buhagiar
Abstract: Service innovation has come to reflect a multidimensional and fuzzy construct defined by elusiveness. As such, the terminology ‘service innovation’, while increasingly important in servitized and experience-based economies, has come to denote ‘everything and nothing at the same time’. Further amplifying these issues, scholars remain divided on whether service innovation should be explored from a demarcation, synthesis, or assimilation approach, while service innovation process models provide overly simplified representations of the service innovation process. To counteract these shortfalls, and based on Buhagiar et al.’s (2021) conceptual multi-level model of service innovation, this paper, through the application of a qualitative methodology, explores the service innovation process of boutique hotels located in Valletta, Malta. The results of this study explicate that knowledge resources and the capacity of personnel in boutique hotels to combine and transform knowledge resources, at both the micro-level and firm-level, mirror core capabilities necessitated to develop innovation in boutique hotels. Furthermore, service innovation emerged as a human-centric process, with idea generation inherently contingent on the cognitive capacities of personnel in boutique hotels. Thus, inciting the innovation process in boutique hotels emerged as contingent and path-dependent on the motivations of personnel to identify innovation opportunities, and externalize subjective tacit knowledge.
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Short Papers
Paper Nr: 3
Title:

Stakeholder’s Perceptions of Value and Risks in Data Governance for the Secondary Use of Health Data
Authors:

Hannu Nieminen, Rima Sermontyte-Baniule and Nina Helander
Abstract: The study is a literature study assessing the value expectations and risks perceived by the different stakeholders related to the governance of secondary use of health data. A key value expectation for all stakeholders was found to be that data provides public benefits and “common good”, especially through academic research. Especially for the researchers improvement of health equity in the society was also an important value expectation. For patients and also for decisionmakers security and privacy related risks were often mentioned. For all stakeholders the risk of stigma for different groups in the society and for the patient herself was seen to be important. Constant and clear communication towards all stakeholders about what data is collected, how it is used, what the expected benefits are and how the risks are managed needs to be a key element of health data governance solutions. All stakeholders see the importance of involving also the patient representatives to the governance of health data. Data governance should be developed towards a continuous and transparent collaborative process, where all stakeholders voice is heard, and they can affect the decisions.
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Paper Nr: 4
Title:

State of Knowledge-based Management in Project Networks: Case in Finnish Infrastructure Construction Sector
Authors:

Viivi Siuko, Jussi Myllärniemi and Pasi Hellsten
Abstract: Finnish infrastructure construction sector has challenges in productivity and advancing digitalization. We suggest that these problems can be explained with inadequate knowledge-based management (KBM) practices: When information goes missing, employees must collect the information repeatedly. When organizations haven’t identified their information needs, data is collected but never used. The purpose of this research is to discover what is the priority of development to improve KBM in project network. A project network in Finnish infrastructure construction sector typically consists of project companies and public customers. This research was conducted by distributing a survey on maturity of KBM to 22 Finnish organizations in infrastructure construction. 10 of these organizations are customer organizations and 12 are project companies. The results are analyzed with a framework suggested for the maturity survey. The results show that, in the project network, customer organizations have less developed KBM practices than project companies, which is not surprising. The interesting point, however, is that the results highlight the importance of the customer organizations in information sharing in the project network. Therefore, the inadequate KBM practices of customer organizations seem to weaken the productivity of the whole project network.
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Paper Nr: 7
Title:

Decision Making with Clustered Majority Judgment
Authors:

Emanuele D’ajello, Davide Formica, Elio Masciari, Gaia Mattia, Arianna Anniciello, Cristina Moscariello, Stefano Quintarelli and Davide Zaccarella
Abstract: In order to make a decision process that can best represent the will of a group of people who express themselves about something, like the election of a president or any other situation where people make judgements about more than two possibilities, this paper wants to propose the usage of unsupervised learning techniques, in particular cluster techniques, to extend a single-winner voting system Majority Judgement to a multi-winner system which aggregate the preferences of subsets of voters. After an introduction about Majority Judgement, the algorithm used for its clustered version is presented. In the end, a case study will be reported to highlight the differences with the classic Majority Judgment, since sometimes it could be preferable based on the contingencies of the particular election, especially when there is a desire not to neglect minority groups with the same preferences.
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Paper Nr: 15
Title:

Consequences of COVID-19 Lockdown on Lebanese Adolescents’ Experience of eLearning: A Call to Action
Authors:

Nadine Daibess, Nabil G. Badr, Joumana Yeretzian and Michele Asmar
Abstract: In general, adolescents are vulnerable to lifestyle changes, with implications on their physical and mental health. During COVID-19 lockdown, mental disorders emerged among the Lebanese youth, with prevalence of psychiatric symptoms related to insomnia, depression, and anxiety. The case of the adolescent population in Lebanon was alarming. Suicidal intentions appeared among Lebanese adolescents from 9th to 12th grades. Our study identifies depressive tendencies, stress and anxiety indicators in the respondents remarks. Our adolescent informants have volunteered a few suggestions for coping strategies. Following knowledge to action theory we provide some insight into call to action. Based on the findings from a qualitative review, we organize some insights to promote the development of the adolescent condition in a challenging eLearning environment. Finally, based on the comments from our students, we suggest that eLearning needs to be personalized, on demand, and gamified to keep our adolescent learners engaged.
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Paper Nr: 19
Title:

A Semantic Approach for Generating Graphical Representation from Aircraft Maintenance Text
Authors:

Thi-Bich-Ngoc Hoang, Ba-Huy Tran and Marzieh Mozafari
Abstract: Industrial maintenance is a strategic business function. Over the past twenty years, the role of maintenance in companies has become increasingly important both technologically and economically. However, maintenance service has not taken into account the frequent change in maintenance knowledge, the users’ perspective (the training, the origins, or the cultures), and the users’ support documents preferences. In this article, we propose preliminary results of an approach to make industrial maintenance universal. We use natural language processing techniques to extract core information from maintenance text and then construct a knowledge base to store all relevant information about maintenance processes, domain information, and corresponding graphics. Finally, we generate a graphical representation of input text to help better understand the procedure, thus increasing the user experience and the performance of maintenance operations in terms of reducing time and cost. This approach is first applied to aircraft maintenance and can be applied to maintenance in other industry domains as well.
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Paper Nr: 20
Title:

ADmed: An Adaptive Technical Process for the Agile Development of Medical Devices
Authors:

Maren Martens, Anna Schidek, Markus Schmidtner and Holger Timinger
Abstract: Agile project management is an established approach in software development and over time has also been adapted to different fields of work. While there are proven advantages for an agile development process, not all branches have incorporated agile methods in their project and development practices yet. One of these branches is the medical device industry. They often fall back on traditional, plan-based process models due to regulatory and normative requirements because of perceived conformity. ADmed is a process model that combines agile and plan-based processes while still adhering to the necessary regulatory requirements. In order to make it more accessible and approachable for a wide range of users it also incorporates adaptive elements, which are adjusted based on the user context.
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Paper Nr: 24
Title:

Sharing Knowledge in the Social Media Era: Strengths and Weaknesses for Knowledge Workers
Authors:

Kamla A. Al-Busaidi and Ibtisam Al-Wahaibi
Abstract: Sharing knowledge is a very critical process for professional knowledge workers as it enables the creation and accumulation of individual and organizational knowledge. The use of information and communication technologies (ICT) and social media platforms to boost formal and informal knowledge sharing among knowledge workers is inevitable, and the recent COVID-19 pandemic has forced digital transformation. This study aims to examine the strengths and weaknesses of social media platforms for sharing knowledge by assessing its characteristics from knowledge management (KM) and information security perspectives. Hence, the study assesses the capability of social media platforms as a KM platform in terms of reach, depth, richness, aggregation, confidentiality, integrity, and availability. Based on the literature review, the main strengths of social media platforms are reach, richness, and availability, whereas some weaknesses are related to confidentiality and depth. The findings of this research can help researchers in this area, and help organizations and decision-makers set policies for sharing knowledge through social media platforms.
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Paper Nr: 26
Title:

Virtual Reality (VR) Technology Integration in the Training Environment Leads to Behaviour Change
Authors:

Amy Rosellini
Abstract: Virtual Reality technology provides a more effective, cost-saving learning solution to firms, however more research is needed to understand how VR technology transfers to real world behaviour change. Current studies measure the impact of VR technology in a training environment without integration of adult learning theory that benefit all learning styles. To measure the effectiveness of VR technology in the training environment, industries like healthcare and aviation are studied at a greater rate because of their knowledge management systems and high stakes need for learning. A flight attendant study conducted within a training environment takes a new approach measuring the impact of VR technology on behaviour outcomes. This study relies on post-training behaviours rather than survey or assessments. With over three years of VR integration blended into a formal training environment, early evidence supports the utilization of VR technology to teach flight safety to flight attendants. Initial findings show an improvement in new flight attendant scores measuring behaviour change in a series of safety tasks performed post-training. In addition, early research provides unanticipated evidence of the impact on knowledge transfer when some workers are not utilizing VR technology and others do utilize VR technology in the same environment.
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Paper Nr: 30
Title:

A Novel Explainable and Health-aware Food Recommender System
Authors:

Merhrdad Rostami, Vahid Farahi, Kamal Berahmand, Saman Forouzandeh, Sajad Ahmadian and Mourad Oussalah
Abstract: Food recommendation systems are increasingly being used by online food services to make recommendations. Health factors are often ignored in most of these systems, despite the fact that unhealthy diets are connected to a wide range of non-communicable diseases. Furthermore, if users do not receive compelling explanations about the recommended healthy foods, they may become hesitant to try them. In this paper, a novel explainable and health-aware food recommender system is developed to address these challenges. For this purpose, user’s preferences and food health factors are taken into account simultaneously and then a rule-based mechanism is employed for final healthy and explainable recommendations. Five performance metrics were used to compare our system with different new recommender systems. Using a dataset crawled from ”Allrecipes.com”, the proposed model is shown to perform best.
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Paper Nr: 33
Title:

From Server-based to Web-based Translation Memory Systems: Benchmarking, Testing and Implementation in STAR7
Authors:

Enrico Giai, Nicola Poeta and David Turnbull
Abstract: In the age of cloud computing and Software as a Service (SaaS), the need for web-based translation management solutions is on the rise. Connecting authoring tools and other Content Management Systems (CMSs) to Translation Management Systems (TMSs) is key to reaching a global audience quickly, effortlessly and efficiently. To this end, new web-based TMSs have been developed to automate the entire information lifecycle and allow cooperation among all stakeholders – from authoring to translation, review and publishing. In this paper we describe the features of a web-based TMSs, identify the contexts in which such a system is required and why, and look at their benefits. To do so, we will describe three different processes which use three different technologies based on varying automation and collaboration needs, from a server-based installation of Transit NXT to a web-based solution such as CLM WebEdit.
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Paper Nr: 35
Title:

Building a Data Literate Business Workforce
Authors:

Marketa Smolnikova
Abstract: Data literacy and problem-solving with data has been a hot topic in the academic, government as well as business world for several years. However, the current research hasn’t provided companies and organizations with a specific or easy-to-follow guide how to enhance data literacy of the most proliferated business roles. This paper aims to map what different business roles require to do with data in their work tasks and to propose a way how to improve data literacy of these roles by focusing on the right competences. To fulfil these aims, authors analyzed job tasks of the most generic business roles to derive their objectives regarding the use of data and gathered feedback from businesses via a preliminary web-based survey. Consequently, mapping of the distinct data literacy competencies and priority work objectives of the selected job roles serves as a manual where to focus training efforts to enhance company’s data literacy. This theoretical framework could be further improved by a real-time automatic evaluator of the survey respondents’ inputs which would deliver recommendations towards priority data literacy competencies customized to a respondent’s response.
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Paper Nr: 38
Title:

Intelligent Decision Support System for Precision Medicine; Time Series Multi-variable Approach for Data Processing
Authors:

Nasim S. Mosavi and Manuel F. Santos
Abstract: This study has introduced a new approach to clinical data processing. Clinical data is unstructured, heterogeneous, and comes from various resources. Although, the challenges associated with processing such data have been discussed widely in literature, addressing those aspects is fragmented and case-based. This paper presents the initial outcome of applying the Time series Multi-Variables model (TsMV) to 12 different datasets from Intensive Care Units (ICU), medications, and laboratories. TsMV supports the development of an Intelligent Decision Support System for PM (IDSS4PM) by preparing effective data. Moreover, the CRISP-DM methodology was employed, and based on the proposed solution, we have adjusted the significant steps to CRISP-DM, where those extra phases are essential for taking future works.
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Paper Nr: 39
Title:

Empirical Evaluation of BPMN Extension Language
Authors:

Azeem Lodhi, Gunter Saake and Klaus Turowski
Abstract: Business process modelling is essential for knowledge management and business process improvement. Primarily, business process modelling is investigated for communication between stakeholders and information system development. On the other hand, business process performance analysis and its representation are less investigated. Moreover, different visualization techniques present the data perspective, not the process perspective. As a result, enterprises find it challenging to decide where to start and what changes should be made for improvement. This paper evaluates a BPMN extension for business process performance representation. We evaluate different modelling patterns empirically using a case study in a company.
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Paper Nr: 1
Title:

A Process Model for Test Driven Development in the Big Data Domain
Authors:

Daniel Staegemann, Matthias Volk, Naoum Jamous and Klaus Turowski
Abstract: Big data has emerged to be one of the driving factors of today’s society. However, the quality assurance of the corresponding applications is still far from being mature. Therefore, further work in this field is needed. This includes the improvement of existing approaches and strategies as well as the exploration of new ones. One rather recent proposition was the application of test driven development to the implementation of big data systems. Since their quality is of critical importance to achieve good results and the application of test driven development has been found to increase the developed product’s quality, this suggestion appears promising. However, there is a need for a structured approach to outline how the corresponding endeavors should be realized. Therefore, the publication at hand applies the design science research methodology to bridge this gap by proposing a process model for test driven development in the big data domain.
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Paper Nr: 11
Title:

Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics
Authors:

Matthias Volk, Daniel Staegemann and Klaus Turowski
Abstract: For many years now, the domain of big data has received lots of attention, as numerous studies, reports, and research articles reveal. Up to this date, a multitude of different definitions, guidelines, technologies, architectures, and best practices appeared that were supposed to provide clarity in the jungle of existing solutions. Instead, it led to further confusion regarding the general nature and the applicability of big data. To overcome those obstacles in detail, in the following, a thorough description of the term big data. To elucidate those obstacles, in the following, some of the most important aspects regarding the terminology as well as the essence of big data as a concept are discussed. Hereby, subsequent researchers as well as practitioners interested in the domain are provided with a strong base that further considerations and future projects can be built upon. This, in turn, hopefully helps to facilitate the progression of the domain as a whole as well as its further proliferation.
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Paper Nr: 16
Title:

Identifying and Assessing Knowledge Gaps in ISO 9001 Certified SMEs using a Knowledge Audit Framework
Authors:

Arno Rottensteiner and Christian Ploder
Abstract: The importance of knowledge management in ISO 9001 certified Small and Medium-Sized Enterprises (SME) gained importance over the past few years. A company-wide knowledge base could not only improve the central organizational decision-making, but furthermore contribute to sustainably preserving and expanding competitive advantages based on proper knowledge management (Ayinde et al., 2021). Therefore, the paper aims is to present a Knowledge Audit Framework, especially for ISO 9001 certified SMEs based on current theories and described for practical implementation. The framework will additionally help these ISO 9001 certified SMEs to manage relevant business processes and moreover improve the crucial documentation of several knowledge-intensive business processes. The framework is derived from current research and empirically based on the case study research method combining a participating observation, direct observation during a focus group workshop, and a structured questionnaire in order to prioritize the evaluated knowledge gaps. This prioritized listing of gaps builds the basis for efficient knowledge management improvements in the organization and the implementation of necessary measures in the field of knowledge management.
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Paper Nr: 17
Title:

Knowledge Management and Benchmarking for Health Care System Development Activities
Authors:

Annamaija Paunu, Hannele Väyrynen and Nina Helander
Abstract: Knowledge management (KM) has a central role in developing health care services both at the organization and at the system level. Benchmarking can be used as a tool in KM especially for knowledge creation and acquisition, but also for knowledge sharing phases of KM process. In the end, the value created by benchmarking is still measured in the knowledge utilization phase. In all of these KM process phases there can be several challenges for successful benchmarking. In this paper, the benefits and challenges of benchmarking as a tool for KM is studied through two empirical, qualitative case studies from the Finnish health care system. Empirical findings suggest that more effective benchmarking can be achieved by strengthening strategy orientation and systematic approach. Strategy-driven benchmark practices ensure that benchmarking is targeted correctly. In turn, systematic approach can be increased through well-planned knowledge acquisition, sharing and documentation, and by harnessing operations in networks as a goal-oriented part of the development of the health care organizations’ competencies and operations.
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Paper Nr: 22
Title:

Cross-university Platforms as an Enabler for Knowledge Management and Transfer
Authors:

Claudia Doering, Finn Reiche and Holger Timinger
Abstract: Collaboration Platforms are virtual or physical places that serve as an intermediary or medium for the exchange of technology, knowledge, products or services between previously independent actors or institutions. In academia, they can facilitate the collaboration between universities. One increasingly important area of collaboration is knowledge management and transfer. In this paper, a literature review is applied in order to derive the state of the art of university platforms for knowledge management. Based on this, the purpose of such platforms is analysed. The results indicate that knowledge transfer focuses on teaching, research, and transfer activities. Often, e-learning platforms are used to facilitate cross-university transfer of knowledge. The motivation to use such platforms is to share knowledge, to make use of synergies in cooperation and to gain more visibility. It is also shown in this paper, that despite its common application, there is a gap in scientifically evaluating the effective contribution of such platforms as enabler for knowledge management.
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