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For the thirty-third year, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. This is Volume #2 of the 33rd "Annual Proceedings of Selected Papers on the Practice of Educational Communications and Technology." This volume includes papers presented at the national convention of the Association for Educational Communications and Technology held in Anaheim, California. The papers in this volume primarily deal with instruction and training issues. Papers dealing with research and development are contained in the companion volume (Volume #1). (Individual papers contain references, tables, and figures.) [For Volume 1, see ED514646.]

For the thirty-first year, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) sponsored the publication of these Proceedings. Papers were presented at the annual AECT Convention in Orlando, Florida. This year's Proceedings has two sections--Section 1 includes research and development papers and Section 2 includes papers on the practice of educational communications and technology. (Individual papers contain references, figures, and tables.) [For Volume 1 of the 30th (2007) Proceedings, see ED499889. For Volume 2, see ED499896.]

In this paper we illustrate the architecture of the °'°Kobi system, which is aimed at supporting students' education in artistic or design activities. We will outline the scientific and methodological foundations of the educational approach aimed at enhancing the artistic conception and the design ideation. The functional requirements and the system architecture for implementing the °'°Kobi system are outlined. Finally, the paper discusses some relevant aspects concerning the system application in a real educational context and briefly reports about its preliminary assessment.

Workplace safety recommendations and regulations are constantly evolving. This paper reviews workplace safety literature on safety culture and inter-organizational knowledge sharing among healthcare organizations. The research question asks, "how does sustainable workplace safety occur in a healthcare" setting? The findings of the literature review assisted in the creation of a model to promote a culture of safety within healthcare fields and moved beyond individual organizations to support sustainable workplace safety practices. The context of hazardous drug handling is used as an example for model application throughout the paper. The C[superscript 2]oST3 model promotes collaboration among and within organizations to promote a "culture of safety" (C[superscript 2]oS) through "transfer" (T), "translation" (T), and "transmission" (T) of knowledge. [For the full proceedings, see ED631897.]

We describe a data mining pipeline to convert data from educational systems into knowledge component (KC) models. In contrast to other approaches, our approach employs and compares multiple model search methodologies (e.g., sparse factor analysis, covariance clustering) within a single pipeline. In this preliminary work, we describe our approach's results on two datasets when using 2 model search methodologies for inferring item or KCs relations (i.e., implied transfer). The first method uses item covariances which are clustered to determine related KCs, and the second method uses sparse factor analysis to derive the relationship matrix for clustering. We evaluate these methods on data from experimentally controlled practice of statistics items as well as data from the Andes physics system. We explain our plans to upgrade our pipeline to include additional methods of finding item relationships and creating domain models. We discuss advantages of improving the domain model that go beyond model fit, including the fact that models with clustered item KCs result in performance predictions transferring between KCs, enabling the learning system to be more adaptive and better able to track student knowledge. [This paper was published in: "Proceedings of the 14th International Conference on Educational Data Mining (EDM21)," International Educational Data Mining Society, 2021, pp. 672-76 (see ED615472).]

The role of Knowledge Management (KM) in the educational institutions is of great importance and the main function of educational organizations is the KM. KM includes the process of capturing, creating, disseminating and applying all forms of knowledge within an organization in order to fulfill institutional goals. The use of the KM solutions and principles can lead to more flexibility in teaching and learning processes and in university management. This paper presents findings of a case study conducted at Varna Free University (VFU). KM solution has to optimize the processes of development, dissemination and storage of knowledge at the Institute of Technology. Comparative analyses are provided to outline proper software for implementation and a prototype of KM system to be designed. The focus is to connect people, processes, and technology for the aim of leveraging knowledge. The success of this project depends on the active participation of the whole team of the Institute of Technology. This solution will allow for the creation of a common knowledge base to be developed in cooperation. The loss of personal knowledge can be prevented by sharing implicit knowledge in a wiki module. By accessing the organizational knowledge base, valuable information can be extracted and thus reduce the problems of leaving staff and training new staff. By linking structured content, it is possible to optimize search processes and support joint and individual research, training and administrative activities. Interdisciplinary references to additional information can improve the quality of learning processes, research and project activities, as well as administrative management. [For the complete proceedings, see ED601080.]

Knowledge work has become a major component of value creation, especially in industrialized countries. Processing knowledge in virtual ways becomes increasingly possible with emerging technological innovations. This leads to the important question, how to transmit elusive tacit knowledge in a virtual setting. Education at universities benefits from the use of virtual environments for passing on knowledge, such as by setting up MOOCs and using learning apps. How to manage tacit knowledge in virtual learning environments as well as how to prepare students for virtual organizational knowledge processes become crucial. Although knowledge management and processes have already been widely analyzed, research on harvesting tacit knowledge in virtual educational environments is still rare, in particular regarding the use of intelligent tutor systems for knowledge management processes. Therefore, the central question addressed in this paper is, how university knowledge processes concerning tacit knowledge can be supported by intelligent systems, such as bots and tutor systems. [For the complete proceedings, see ED590271.]

Hybrid classroom, which combines face-to-face and online learning, is becoming a popular way of delivering courses in higher education and a subject of growing interest in academic literature. At the same time, the ongoing development of digital educational resources and a trend of openness in systems and education gives open educational resources an increasingly important role in democratising learning. The purpose of this study is to present the approach that combines hybrid classroom and open educational resources developed at one higher education institution in Hong Kong and to investigate the students' views towards the approach. A questionnaire inquiring students' affection towards hybrid classroom and open educational resources has been administered to postgraduate students of the knowledge management programme and related critical factors have been identified and discussed. Results show that the adopted approach enriches students' learning experience by providing a variety of benefits, such as allowing diverse methods and modes of delivery and enabling more flexible, self-controlled, and self-paced learning. Particularly promising seems to be the positive experience from joining the co-located and distance learners, with providing potential advantages such as cross-cultural learning. Moreover, students reported that their learning experience was enhanced with open educational resources. However, some challenges, of technical and pedagogical nature, have been identified, which require further considerations of curriculum design to facilitate hybrid classroom (and use of open education resources) optimally. [For the full proceedings, see ED621620.]

The success or failure of an organization is dependent on its ability to manage and motivate its employees. It is widely accepted that knowledge management is a critical factor affecting an organization's ability to remain competitive in the global marketplace. It is also one of the major strategic uses of informational technology. However, despite the growth in easily using and accessing online information, employees must still rely on their co-workers for knowledge sharing to deal effectively with their work. The thorny form of knowledge sharing is tacit knowledge because it is an experience that is embedded in an individual. Organizations recognize this and must develop a mechanism for obtaining this collective intelligence and skills of its employees to create a greater organizational knowledge base. Using the literature, this study critically analyzes the impact of tacit knowledge sharing on job performance. The study will also briefly explore any likely interactions between tacit knowledge sharing and explicit knowledge sharing. The main research objective is to establish an understanding of the effect of tacit knowledge sharing on job performance. The essence is to understand how organizations can more easily communicate knowledge that will increase job performance, driven by an understanding of leveraging tacit knowledge. [For the complete proceedings, see ED625798.]

To guarantee high-quality services, health professionals are required to successfully maintain their extensive knowledge base. M, health professionals are forced to consistently stay up-to-date in their field in which new knowledge is evolving continuously. Hence, there is a strong need for effective support during their lifelong, self-directed learning processes as a means of maintaining and updating medical-related expert knowledge. From the literature, self-organisation, -management, -assessment, and collaboration activities have been defined to be of high relevance for these learning processes. The increasing speed of technological development has led to the development of a plethora of digital tools with varying features aimed at supporting professionals in their self-directed learning. In light of the increased number of tools available, we aim to give orientation on some of the most popular tools available to support health and other professionals in their self-directed learning. Results show that three main categories of digital tools related to self-directed learning can be identified: reference-management systems, learn-and-test tools, and collaborating tools. Our results further show that within the current landscape, there is no one tool that covers all tasks related to self-directed learning. We conclude that one single digital tool, combining all the features supporting self-directed learning in one simple easy to use manner may better support health and other professionals in maintaining and updating their expert knowledge. Future development should focus in particular on suitable combinations of features supporting self-directed learning, as implemented within one tool. [For the complete proceedings, see ED608557.]

Problem solving is a critical competency for modern world and also an effective way of learning. Education should not only transfer domain-specific knowledge to students, but also prepare them to solve real-life problems--to apply knowledge from one or several domains within specific situation. Problem solving as teaching tool is known for a long time, but our aim is to enhance it by suggesting knowledge tools for different stages of problem solving process. Knowledge tools involve students in the process of knowledge construction that contributes to understanding of subject and help students to organize and present their own knowledge. An overview of software, which help to apply the suggested knowledge tools, is presented as well. Finally we illustrate our approach with two examples of teaching school and university students. [For the complete proceedings, see ED579395.]

These proceedings contain the papers and poster of the 6th International Conference on Educational Technologies 2019 (ICEduTech 2019), which has been organised by the International Association for Development of the Information Society and co-organised by the Lingnan University, in Hong Kong, February 8-10, 2019. ICEduTech is the scientific conference addressing real topics as seen by teachers, students, parents and school leaders. ICEduTech conference topics include: (1) Education in Context; (2) Education as Professional Field; (3) Curricular Evolution; (4) Learner Orientation; (5) Integrating Educational Technologies; and (6) International Higher Education.

Students enrolled in postgraduate degree programs such as M.Tech. and Ph.D. are required to learn research methodology and to contribute in the body of knowledge. They spend considerable amount of time in literature survey which involves going through published articles and research papers to identify their domain of interest and issues to be addressed. While going through these publications, they underline/color one or more sentences or write their comments, observations, queries or explanation about the contents either on separate sheets of paper or on the document itself. These annotations on research articles represent important components of personal knowledge of the research scholars. It is highly desirable to have a tool which provides assistance to research scholars in management of their personal knowledge assets. In this paper, we present a web based tool which provides facilities to annotate research papers, to manage and share these annotations and to infer characteristic features of annotators and maintains a personal knowledge base of research scholar which includes research papers of their interest (both annotated and unannotated), annotations on them, relationships between annotations and network of research peers. This tool has been designed based on a survey conducted with Ph.D. scholars and teachers from different discipline of engineering to identify types of annotation markers, their purposes and usage. Our analysis of annotated research papers indicated that underline and coloring of the sentences are dominant annotation markers and they serve same purpose of indicating importance and relevance of annotated content. Comments and observations were primarily used to either as an explanation or as an opinion about the contents. We have designed a RDF schema for the above knowledge base which is stored as RDF document. [ABSTRACT FROM PUBLISHER]

To handle the increased complexity within the automotive industry, this paper introduces a guideline, which aims to support development service providers to examine the introduction and if applicable support the introduction of systems engineering. The initial verification was performed through applying the guideline at Porsche Engineering as an exemplary service provider. As a result, the success factors "knowledge basis" and "knowledge transfer" have been improved by two points on a 1-5 Likert-scale by introducing a SE process-specific knowledge platform and a defined knowledge transfer. [ABSTRACT FROM AUTHOR]

Axiomatic theory is a concept introduced in Lee et al. (2021) who illustrated its application in connection with three theories borrowed from reference disciplines and extensively used in IS research. This paper aims to extend consideration of the concept to more general application beyond these particular theories. The concept suggests that some theory is so close to being a truism that it needn’t be further tested and could reliably be the basis upon which additional knowledge can be built. Thus, such theoretical propositions might be treated like axioms in mathematics rather than tentative theory subject to further testing. In this paper this premise is examined in terms of the general role of theory in accumulation of knowledge, when such axiomatic status might be earned by the assertion of particular relationships, and how such axiomatic theory might be usefully applied. [ABSTRACT FROM AUTHOR]

There has been a lot of empirical work on trust research in online platforms in the past two decades. Due to great diversity in the underlying theories, methodologies, variables, and relationships in this field and a “confusing potpourri” of conceptualizations and operationalizations of the constructs, prior researchers have called for a need to synthesize the field knowledge in a meaningful way to build a cumulative tradition. With this as the underlying motivation, this review paper analyzes 106 empirical articles on trust in online platforms published in the past 20 years to synthesize the field knowledge and provide a state of art picture of the field. This paper also aims to provide a conceptual unifying framework that establishes the relationships among various constructs studied in the literature, along with some insights into existing research gaps and potential future opportunities. [ABSTRACT FROM AUTHOR]

This article presents an overview of Artificial Intelligence (AI) research applied in the Management Information Systems field by analyzing the databases of the AIS journal basket list representing the major international journals on MIS. An initial set of 438 published papers was identified based on our search criteria. From those, 74 were selected because of their appropriate fit with the research questions. They were organized into domains, type of research, data collection strategy and AI technique. We found: (1) MIS Quarterly published 42% of the papers; (2) 50% of studies were on Information Systems applications, followed by 15% on Knowledge Management; and (3) 7 AI techniques were presented. This paper provides an overview of applied AI in Management, highlights the most studied related topics and techniques and contributes to a research agenda on the subject. [ABSTRACT FROM AUTHOR]

In 2011, the XVI World Meteorological Congress Resolution 16 gives priority to the rescue and digitization of climate archives and to promote global and regional initiatives to collaborate on DARE (data rescue) and the exchange of scientific knowledge and related technological advances. The Congress urged Members to make every effort to prevent the deterioration of climate-relevant data and to make these data available to support climate change analyses and relevant climate services. In the framework of operational and scientific research actions around the updating of hydrological standards in West Africa (Actualisation des Normes hydrologiques en Afrique de l'Ouest – ActNAO Project) and in response to the WMO call, we used the NUNIEAU software (NUmérisation de NIveaux d'EAU en mer ou en rivières – free software from CEREMA) which allows the digitization of different types of paper documents by automatic recognition. This software has been used on rainfall pluviograms in Burkina Faso and Côte d'Ivoire. The use of this tool allows rainfall analysis on intraday time steps, a time step that is very useful for the knowledge and management of flash-flood events in small basins, especially urban basins. Illustrated by a few scientific results, access to these data, which remains very limited in West Africa, opens up fields of analysis that are not only disciplinary but also, and above all, inter or transdisciplinary. [ABSTRACT FROM AUTHOR]

The paper aims to present an overview of previous research on the application of "lean" in the construction industry, covering key aspects of recent discoveries, their limits, and potential future research directions. It makes two contributions to the body of knowledge. It initially divides the literature to provide an overview of completed research endeavors. Second, it points out a gap in the existing body of research and suggests fresh avenues for investigation. The findings indicate that prior research has had difficulty developing a sound theoretical foundation for the subject. To support the proposed "theories," "notions," and "paradigms," more study is needed. In short, there is a big need for more research because there hasn't been a thorough evaluation of how lean has been used in the construction industry. [ABSTRACT FROM AUTHOR]

Managing knowledge successfully is key for an organization to increase its innovative potential. The InKTI method supports the improvement of knowledge transfers in product and production engineering. To ensure acceptance, applicability, and contribution to success in practice, it is necessary to validate the InKTI method. This paper focuses on evaluating the contribution to success in a Live-Lab study with student engineering teams. Based on the results two consecutive field studies have been conducted to evaluate not only the success but also support, and applicability of the InKTI method. [ABSTRACT FROM AUTHOR]

In the era of digitization and the growing flood of information, the automatic, role-specific identification of information is crucial. This research paper aims to investigate whether the adaptation of LLM is suitable for classifying information obtained from standards for corresponding role profiles. This research reveals that with systematic fine-tuning, prediction accuracy can be increased by almost 100%. The validation was carried out using a two-digit number of standards for three predefined roles and demonstrates the significant potential of LM for labelling content with regard to roles. [ABSTRACT FROM AUTHOR]

Increasing adoption of additive manufacturing (AM) makes software support for design for additive manufacturing (DfAM) more relevant. This paper presents a novel, knowledge-driven design support tool for AM that leverages a central knowledge base to provide extensible and powerful DfAM support early in the development process. The approach was implemented using Python for the knowledge base and as a plugin for Siemens NX. It offers automated design checks, optimizations, and further information through an integrated Wiki. Evaluation confirms the feasibility and benefits of the approach. [ABSTRACT FROM AUTHOR]

The complexity of process plants and the growing demand for digitalization require efficient and accurate information retrieval throughout the lifecycle phases of a process plant. This paper discusses the concept of instantiation and introduces a method for identifying and multiplying required information in plant engineering using scalable so-called Instantiation Blocks linked to the Bill of Material. Core functionality, an ontology graph and a user interface based on Python and React are developed to demonstrate the implementation of the framework and validate its effectiveness in practice. [ABSTRACT FROM AUTHOR]

In today's competitive market, design firms are under pressure to enhance the speed of their decision-making processes to foster innovative products. Due to specialized nature of contemporary technology, enterprises are directed to consider Design for X factors during the product development process like environmental impact and production efficiency. This transformation leads to an increase in gaining knowledge from different fields. This paper presents a comprehensive framework for efficiently acquiring and applying knowledge, aimed at improving knowledge management and sharing practices. [ABSTRACT FROM AUTHOR]

Service engineering is an emerging interdisciplinary subject which crosscuts business modeling, knowledge management and economic analysis. To better satisfy service providers' profiting goals, the service system modeling needs to take care of both the short and long run customer satisfaction. We believe that the ideology of value driven design fits well for this need. We propose to work towards value driven design by introducing a form of service design patterns, we call service value broker(SVB) patterns, with the aim to shorten the distance between economical analysis and IT implementation. SVB patterns allow us to not only study the value added in terms of functional and business aspects, but also reason about the need for brokerage across various domains. In this paper, we focus on modeling the basis of SVB. The analysis is provided with a formal development of SVB to be integrated across a variety of functional and business aspects of services. Placing particular emphasis on scenarios where these can be applied, an example of improvements provided by SVB is also included. [ABSTRACT FROM PUBLISHER]

As organisations grow, consequences of poor knowledge management are evident for new employees in product developing companies. The problem of leveraging existing knowledge between development projects and departments is still relevant. This paper presents an industrial case study of a traditional manufacturing company and extends prior research addressing the reuse of organisational knowledge in new product development. The paper outlines barriers that hinder effective reuse of codified engineering knowledge and suggest means to overcome those barriers by using A3-reports in the PLM-system. [ABSTRACT FROM AUTHOR]

Hybrid manufacturing, a combination of additive and subtractive manufacturing capabilities in one system, has recently become a more viable production option across several industries. Although current hybrid manufacturing research covers a broad range of topics, there is a lack of focus on how this new technology impacts both the designer and the operator of hybrid systems. This paper identifies areas of literature across design theory and Industry/Operator 4.0 research efforts and presents a path for applying this research to hybrid manufacturing users. The unique relationship between operator and designer is highlighted as they learn new strategies and develop new intuitive judgements over time to become the first experienced/expert users of hybrid manufacturing. The potential impact of excessive cognitive workload due to the novel combination of processes is discussed. This paper begins a critical discussion about proper knowledge transfer to other hybrid designers and operators, as well as towards efforts of monitoring, inspecting, and automating hybrid manufacturing processes. [ABSTRACT FROM AUTHOR]

Micro, small, and medium-sized enterprises are challenged to stay in the market by developing innovative processes. Well-focused knowledge management helps organizations to strengthen their innovative capabilities by building highly competitive work teams through learning and organizational culture. This paper illustrates an exploration of different databases of indexed journals and the analysis of different authors who focus on the importance of knowledge management as a competitive advantage for MSMEs. The scope is delimited in the documentary review from 2017 to 2023 and the analysis of the incidence of knowledge management in organizations. [ABSTRACT FROM AUTHOR]

The paper aims to present an overview of previous research on "machine learning" applications in banking, covering key aspects of recent discoveries, their limits, and potential future research directions. It makes two contributions to the body of knowledge. It initially divides the literature to provide an overview of completed research endeavors. Second, it points out a gap in the existing body of research and suggests fresh avenues for investigation. The findings indicate that prior research has had difficulty developing a sound theoretical foundation for the subject. To support the proposed "theories," "notions," and "paradigms," more study is needed. In short, there is a big need for more research because there hasn't been a thorough evaluation of how machine learning has been used in banking. [ABSTRACT FROM AUTHOR]

Customer knowledge that is co-created with the customer offers mutual perceived value for the company and its customer. Many papers discuss the benefits, the process, and the success factors of customer knowledge co-creation, but only a few that discuss the unitary system. This paper promotes measurement framework that could be used to measure and to improve the productivity of the of customer knowledge co-creation in the relationship between selling firms and buying firms in projects. The contribution of this paper is measurement framework that is validated through case study on projects that involves customer in service development, and will be used in the further study on the quantification of the productivity. [ABSTRACT FROM PUBLISHER]

During product engineering, engineers draw on existing knowledge as a basis. This knowledge is applied in design processes either by adopting elements, alternating some attributes, or changing the solution principles. While concepts for design reuse exist, the proactive design of a suitable knowledge base is still a challenge. In this paper, we show influencing factors in engineering and their influence on the knowledge base. These factors are of the areas market, company, project, and team. Based on our results, we intent to develop a support for engineers to set up the knowledge base. [ABSTRACT FROM AUTHOR]

Given the Industry 4.0 trend towards smaller lot sizes and large product families, there is a need to increase the design efficiency in terms of cost and lead time. Design decisions taken in the early or conceptual design phases are shown to have the greatest impact on the final product cost, however the choices and trade-offs are often made in an ad-hoc way. This paper presents a structured methodology for formalizing early stage product design knowledge, which is key for designing and evaluating new variants in a product family in the early stages of the design process. [ABSTRACT FROM AUTHOR]

Effective knowledge management is crucial in the Waste Management (WM) domain. Accordingly, this paper proposes the OntoWM domain ontology, developed through use of key phases of the Design Science Research Methodology. To demonstrate the OntoWM ontology’s usefulness, it has been piloted through the SmartBin developed for bins collection process currently being used by the Kemaman Municipal Council (KMC). It is to be consequently leveraged for all local councils in Malaysia’s Terengganu State. This pilot project has been implemented as part of the Smart Community program under the Malaysian Communications and Multimedia Commission, representing the first such innovation proposed for Malaysia’s local councils. [ABSTRACT FROM AUTHOR]

Artificial intelligence is one of the hottest topics in the last few years, especially since the introduction of generative artificial intelligence models which can be used by any individual with internet connection. On the other hand, knowledge management is well established and widely researched topic. Named two areas are closely connected, and their integration can bring significant benefits for organizations in terms of making better-informed decisions, fostering collaboration, and contributing to the overall effectiveness of knowledge-sharing processes within an organization. Therefore, this paper focuses on the influence of artificial intelligence on the application of knowledge management tools. An empirical study using a questionnaire was conducted aiming to analyze attitudes towards knowledge management systems and their understanding of how artificial intelligence impacts the usage of these tools. Overall, the findings suggest a complex landscape where familiarity, usage, concerns, and expectations regarding artificial intelligence in knowledge management vary among respondents. There is a recognition of the potential benefits but also concerns about challenges and uncertainties associated with artificial intelligence integration. [ABSTRACT FROM AUTHOR]

Quotation of engineer-to-order products provides substantial challenges in effectively managing engineering resources. This paper describes an approach that rationalizes this process by integrating multi-disciplinary design analysis and optimization with a new open-source library for managing engineering knowledge before and after optimization. The approach is applied and evaluated on mechanical rock excavation machines. Adapting the approach and considering the user feedback gathered can lead to an enhanced design space overview during quotation and thus more competitive product offerings. [ABSTRACT FROM AUTHOR]

While research into responsible innovation is not new, there have been recent calls to explore responsible product development, across different development stages and pillars of responsible innovation. In this paper, we use scientometric analysis to explore how the responsible innovation knowledge structure has evolved over the past 50 years. Our aim is to explore the relevance of the topic and propose future research orientations. Findings show that responsible innovation is an emerging topic warranting further investigation. [ABSTRACT FROM AUTHOR]

The development of modern vehicles is complex, especially regarding compliance with security and safety. ISO/SAE 21434 considers security and safety along the entire product life cycle. According to the standard, a system architecture, a risk analysis, and the application of countermeasures are carried out in the early system design. Design patterns are solutions to known design problems. Security Design Patterns (SDP) describe countermeasures and are used to reduce risk. After our literature review, we did not find a suitable approach that presents SDPs that would be applicable in early system design. In this paper, we present 10 SDPs for early system design, which we evaluated during an 11-week student project with 28 teams. We present the results of the quantitative analysis and the evaluation of the feedback. [ABSTRACT FROM AUTHOR]

In the development and production of new products, interdepartmental knowledge transfer is essential. Successful knowledge transfer faces several challenges, such as a lack of willingness to transfer knowledge or an inappropriate selection of tools. These can lead to the reduction of efficiency and effectiveness of knowledge transfers. Therefore, the InKTI – Interdepartmental Knowledge Transfer Improvement Method is developed to support the improvement (in terms of speed and quality) of knowledge transfers, particularly in product and production engineering. This paper presents the first validation of the InKTI Method through a field study at the company Protektorwerk Florenz Maisch GmbH & Co. KG, which is a leading European company in the construction industry, to support the successful knowledge transfer into practice. Therefore, the research need is pointed out, and a concept for validation is developed and implemented. Afterward, the InKTI Method is evaluated based on its success, support as well as applicability. [ABSTRACT FROM AUTHOR]

Healthcare generates vast quantities of 'routinely collected' data that is recognised as a valuable substrate to drive improvement. Realising this benefit however, requires the sequential distillation of new knowledge before analytical findings are used to inform real-world change. This dichotomy requires the combination of techniques from data science (to derive meaningful knowledge) and improvement (to deliver change). Recognising this transdisciplinary need and the complexity of modern healthcare, we developed an improvement project to incorporate a 'systems approach' into the analysis of pseudonymised perioperative data for the purpose of redesigning the systems that deliver surgical care to older patients. This required the development of novel mixed-methods workflows combining tools used to realise a systems approach in practice and to support meaningful analysis, and to translate these findings towards 'better' care systems. This paper recounts the incorporation of these tools into 'dataintensive improvement' and reflects on the relevance of design thinking to improve the conduct of the necessary data science to achieve our ultimate aim, using data to improve services for older surgical patients. [ABSTRACT FROM AUTHOR]

Additive manufacturing (AM) processes are now integrated in industry. Therefore, new methods to design AM parts taken into consideration capabilities and limitations are necessary. It is very difficult for teachers to effectively guide students with ideas emerging from generative design tools. AM requires significant preparation and compromises. Topological optimization is also used depending on requirements. A significant impact on the final part quality is related to the part orientation and geometric dimensions. Therefore, this white paper focuses on detailed design steps to prepare future technicians and engineers to design for additive manufacturing. Active teaching pedagogy guideline is proposed. Students have to think in 3D and use analysis tools to create and validate the optimised design. They use immersive tools to review constraints and model diagnostic algorithm to generate data. Present approaches with design guidelines and tools enable to create AM rules based on it. Questionnaire shows that students need explicit knowledge information. Features recognition and geometry diagnostic are mandatory for complex model. Immersive tool helps to evaluate post-processing. They can now relate AM product-process relationship. [ABSTRACT FROM AUTHOR]

This paper presents a focused examination of critical performance and design issues for the introduction of highly automated tractors and their user interfaces in agriculture. An industry that as of today mainly uses direct-controlled machines that at least to some extent have partly automated functionalities. Issues include out-of-the-loop unfamiliarity, interface complexity, automation transparency, and changing information modalities in teleoperation scenarios for former cabin-based operated machines. Selected evidence and accompanying concepts and findings from literature are put in context to each issue, informing a systematic design process that utilizes the frameworks of knowledge engineering and ecological interface design. The resulting user interface prototype is built upon the identified requirements in analysis and collected design guidelines, stemming from various research areas. The documentation of the consideration of these in context with additional requirements, such as complexity reduction, information interactivity, and users' existing experiences is meant to provide insights into the often opaque and art-like design space. [ABSTRACT FROM AUTHOR]

In order to have a sustainable disassembly process, a successful decision-making based on reliable and up-to-date information should be made while taking into consideration sustainability indicators. In this context, The aim of this paper is to introduce a decision support system based on knowledge based and digital twin in order to help stakeholders to choose the most sustainable disassembly scenario.In this research, firstly, we presented the state of art of disassembly process, digital twin, knowledge based system and the merging of knowledge based system and digital twin for disassembly. Secondly, we presented the knowledge based digital twin (KBDTw) system framework for a sustainable disassembly process. Thirdly, a case study is presented about the use of KBDTw in the end-of-life of internet boxes. Finally, a conclusion and future work are conducted. [ABSTRACT FROM AUTHOR]

Mixed Reality (MR) technologies are widely available and applied in a variety of design and engineering applications. MR prototypes capture the respective benefits of physical and digital prototypes by merging these domains saving the time and resources required to create them. This advantage is compelling in the context of design education where tight time and resource constraints exist. However, it is known that new digital prototyping tools can cause problems for students applying appropriate prototyping tools during practice-based studio design projects. Our paper contributes a systematic appraisal of MR prototyping's proposed dimensions value against constraints and issues in design studio education. This highlights MR Visualisation and Knowledge Management dimensions as most readily realised in education. Recommendations are then reflected on via an illustrative case study into the implementation of MR prototyping via these dimensions. Reflections corroborate the value proposition, but also highlight a need for further research exploring activities to scaffold MR prototyping to further support reflective design thinking. [ABSTRACT FROM AUTHOR]

Current question answering systems are usually based on a knowledge base which is populated with domain specific knowledge and managed through Unstructured Information Management Architecture (UIMA). But drawback in this approach is that knowledgebase may be grown with knowledge which is not relevant to the users connected with the system. In order to address this drawback we propose unsupervised knowledge accumulation algorithm which can monitor user preferences and acquire knowledge without any supervision of the system management unit. Basically, this algorithm learns domain of interest of each and every user connected with the system and extract knowledge from the web or from a given corpus. We have also adopted several Natural Language Processing algorithms to design this high-level algorithm. Knowledge modelling is done through a conceptual graph based knowledge base. This novel paradigm is evaluated with the help of several connected users and with more than 280 questions. We have achieved excellent accuracy during the evaluation phase. It shows our novel approach is effective and can be used to address the drawback decently. [ABSTRACT FROM PUBLISHER]

Public sector organizations are continuously experimenting with how to deliver public services using blockchains, despite the hyperbole and overblown expectations still surrounding the technology. We conduct a case study approach of several early blockchain projects to understand the role and impact of expectations and hype for actors in these projects regarding how they interpret technology, legitimize their decisions, and mobilize resources in early-stage innovation activities. The empirical cases are selected from the European public sector and research is conducted in an R&D project where academic institutions and public sector organizations collaborate to increase knowledge about public sector blockchains. In this paper, we contribute a conceptualization of blockchain technology as an organizing vision for these public sector organizations. Through this lens, we identify and structure how organizations engage with this emerging technology. [ABSTRACT FROM AUTHOR]

IS research has linked collaborators from diverse domains. IS research requires selecting and addressing an appropriate intradisciplinary or interdisciplinary scope. Identifying gaps in the current literature and deciding when and how collaborations among different disciplines may be fruitful poses challenges. We propose a process to analyze a corpus of documents from any topic, to identify potential collaboration areas. A text analytics process is used to find areas of commonality and exclusivity among questions addressed in existing IS work by analyzing abstracts in papers from multiple disciplines studying 'software piracy.' We use term-term co-occurrence to find all the terms used in close proximity to the topic. We identify which terms are most prominent in each discipline, show quantitatively how these usages coincide or diverge across disciplines, measure the overlap between pairs of disciplines, and identify clusters of terms shared among disciplines. Specific findings from this case of software piracy are presented. [ABSTRACT FROM AUTHOR]

This paper proposes a knowledge management system that enables supporting and supplementing higher learning education particularly, in the Department of Industrial Engineering and Operations Research. DennIE's goal is to assist the department in enabling in and out of class knowledge be accessible to its community. Knowledge such as technological, procedural, and conceptual can be submitted, reviewed, approved, stored and shared. This helps the whole department in supplementing student education by further enriching and widening educational resources. A group of users were asked to test and use DennIE. A customer satisfaction survey was then administered and yielded promising results in Denny's effectiveness and usefulness. [ABSTRACT FROM AUTHOR]

This paper outlines a comparative study between the European Credit Transfer System (ECTS) and the ASEAN Credit Transfer System (ACTS). In 2015, ASEAN member countries will form the ASEAN Economic Community (AEC), a region promoting economic integration and the subsequent free flow of people, trade and culture. The AEC will have significant impacts on higher education across the ASEAN region, and this research investigates how knowledge management techniques can be utilized to respond effectively to the forthcoming ACTS. The ACTS is a tool created to enhance and facilitate credit transfer allocation between members of the ASEAN University Network (AUN) and will present particular challenges for Thailand's university administration and management. The paper presents a case study from Thailand, and leverages Common Knowledge Acquisition and Documentation Structuring (CommonKADS) to capture appropriate knowledge from Europe, where a successful Europe-wide credit transfer system already exists. The paper undertakes a comparative study between the ECTS and the proposed ACTS. The case study is based within the Faculties of Law, at Chiang Mai University (CMU), Thailand, and University Lumière Lyon 2, France. In Thailand, a requirement exists to prepare and provide a new framework to ensure its Credit Transfer System (CTS) procedure correlates with the needs of the ASEAN University Network CTS (AUNCTS). The AUN-CTS is a particular aspect of the AUN, which members must adhere to. This research therefore studies the importance and usefulness of the ECTS in comparison to the ACTS and more importantly, captures existing and relevant knowledge from the ECTS to raise awareness and enhance the credit transfer procedure of the CMU law faculty. Results show that utilizing knowledge to create a successful credit transfer allocation will facilitate increased student and faculty exchange, including training programs and worker mobility. [ABSTRACT FROM AUTHOR]

In this research in progress paper, we consider how two major trends drive digitalization. First, software product management focuses on fast and iterative development where users are involved in the design phase of products through product managers. Second, there is a push toward applying AI in knowledge domains. We show how these trends intensify the need to focus on relations between IS development and use. Through an interpretative case study of digitalization, drawing on ethnographic methods, we investigate key relations and how they compound into constellations of relations. We discuss key constellations of relations, how the data flow between constellations of relations functions, and how we can zoom in and out to understand relations--allowing for a reposition of IS development for AI, both theoretically and practically. [ABSTRACT FROM AUTHOR]

We propose a research agenda on digital innovation units (DIUs) that refines the current -mainly descriptive-body of knowledge. Receiving great attention in practice, DIUs are dedicated organizational units that support and partly drive digital transformation in incumbent firms by leveraging new structures and practices that differ from those existing in the organization, aiming to promote various aspects of digital innovation. Utilizing DIU knowledge from a theoretical literature review, the resulting research agenda assists in structuring the field by synthesizing and connecting the partly isolated knowledge chunks. We illustrate a coherent picture of theorizing DIUs using Whetten's building blocks of theory. Researchers can draw on our findings to understand the emerging phenomenon of DIUs and use them as a stencil for future DIU research. It simultaneously may guide practitioners to understand the nature of DIUs and their role in a firm's digital transformation journey. [ABSTRACT FROM AUTHOR]