INFLUENCE FACTORS OF THE TACIT KNOWLEDGE ELICITATION PROCESS: SYSTEMATIC LITERATURE REVIEW

Goal: This systematic review aimed at highlighting and performing an integrated discussion of the factors of the tacit knowledge elicitation process. Design/Methodology/Approach: The research method adopted in this study was (PRISMA) Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The databases, Science Direct, Web of Science, Scopus, and Emerald Insight were chosen based on the possibility of finding articles from collections such as Elsevier, Springer e Taylor & Francis. Search terms related to “knowledge Elicitation” are the following: "knowledge Elicitation" OR "knowledge acquisition" AND technique AND “Tacit Knowledge". Results: The main research findings listed by the article were the inclusion of a knowledge engineer considering the SECI model, the indication of predictability in the perception of episodic knowledge in a tacit knowledge elicitation process, and the hybrid adoption of knowledge elicitation techniques. Limitations of the research: The selection criteria were based only on articles written in the English language and taking into consideration the period from 2008 to 2020. Originality/value: The structure of this article was based on the indication of theoretical gaps and the need to deepen the themes underlying the process of eliciting tacit knowledge, which allowed a systematic exposure of a broad scenario that represents the scope and complexity.

Tacit Knowledge Elicitation Process for Industry 4.0

Manufacturers migrate their processes to Industry 4.0 that includes new technologies for improving productivity and efficiency of operations. One of the issues is capturing, recreating, and documenting the tacit knowledge of the aging workers. However, there are no systematic procedures to incorporate this knowledge into Enterprise Resource Planning systems for maintaining a competitive advantage. This paper describes a solution proposal for a tacit knowledge elici-tation process for capturing operational best practices of experienced workers in industrial domains for on-site training. We use Concept Maps mining and domain ontologies to discover and integrate information into a Knowledge Graph in a role game played by human and virtual agents. Ethical and societal concerns are discussed as well.

A Survey of Domain Knowledge Elicitation in Applied Machine Learning

Eliciting knowledge from domain experts can play an important role throughout the machine learning process, from correctly specifying the task to evaluating model results. However, knowledge elicitation is also fraught with challenges. In this work, we consider why and how machine learning researchers elicit knowledge from experts in the model development process. We develop a taxonomy to characterize elicitation approaches according to the elicitation goal, elicitation target, elicitation process, and use of elicited knowledge. We analyze the elicitation trends observed in 28 papers with this taxonomy and identify opportunities for adding rigor to these elicitation approaches. We suggest future directions for research in elicitation for machine learning by highlighting avenues for further exploration and drawing on what we can learn from elicitation research in other fields.

A requirements elicitation process for a purposeful general aviation (GA) aircraft design based on emerging economies

Design success mostly depends on understanding and realising product requirements, which are nested with different levels of stakeholders and specific market demands. Emerging markets are volatile and non-linear for understanding user-specific needs, particularly related to aircraft design. We attempt herein to elicit specific requirements through a proposed requirements elicitation process based on functional, physical and behavioural viewpoints. An evaluation of those critical requirements is also performed through Quality Function Deployment (QFD) to reveal the fitness of the customer requirements (raw requirements) in relation to the technical measures. After selecting all projected potential users, a Systems Modelling Language (SysML) use-case diagram is also summarised to illustrate the user’s relation to the system functions. Some raw requirements are verified through constraint analysis and cost examination as an exemplary approach to present the transformation from raw to final requirements. The data are collected and analysed to construct the aircraft’s key specifications. Most importantly, how to identify good requirements that define the needs, attainability, clarity and verifiability is demonstrated. In addition, it is demonstrated through this study that there is a need of a specific type of general aviation aircraft that may fulfil the unique demands of emerging economies by satisfying their socio-economic conditions.

Can you picture it? Photo elicitation in qualitative cardiovascular health research

Photo elicitation offers novel opportunities to augment the qualitative research toolbox. The use of photographs can enrich connections with participants, and empower them to be creative and engaged to communicate their insights, priorities, and perspectives. There is growing evidence of the effective use of photo elicitation in health research, with emerging interest in the cardiovascular community. Careful study planning, including attention to equipment, participant training, photograph selection, data collection, and ethical consideration, is essential. Detailed reporting of the study design and rationale for use of photographs, conceptual thinking underpinnings, elicitation process, and analytical plan contribute to strengthening the methodological approach.

Using expert-elicitation to deliver biodiversity monitoring priorities on a Mediterranean island

Biodiversity monitoring plays an essential role in tracking changes in ecosystems, species distributions and abundances across the globe. Data collected through both structured and unstructured biodiversity recording can inform conservation measures designed to reduce, prevent, and reverse declines in valued biodiversity of many types. However, resources for biodiversity monitoring are limited, it is therefore important that funding bodies prioritise actions relative to the requirements in any given region. We addressed this prioritisation requirement through a three-stage process of expert-elicitation, resulting in a prioritised list of twenty biodiversity monitoring needs for Cyprus. Equal priority was assigned to the twenty monitoring needs within three categories: a top nine, a middle five, and a bottom six. The most highly prioritised biodiversity monitoring needs were those related to the development of robust methodologies, and those ensuring a geographic spread of sufficiently skilled and informed contributors. We suggest ways that the results of our expert-elicitation process could be used to support current and future biodiversity monitoring in Cyprus.

Elisitasi Kebutuhan Untuk Meningkatkan Kepuasan Pengguna Pada Sistem E-Learning Universitas Muhammadiyah Malang

In recent years the use of information systems has changed very dramatically. Currently, many information systems are developed for various types of users. These various kinds of users have different characteristics, which makes it very difficult for organizations developing information systems to know the needs of their users. For this reason, a good and in-depth need elicitation is needed to really know the user's needs. The purpose of this study is to explore the needs of users in the E-Learning system of the University of Muhammadiyah Malang to increase user satisfaction of the system. In this study, several elicitation methods were used, namely interviews, storytelling, user personas, and storyboards. The interview method is carried out to explore the problems experienced by users when using the system. Then the results of the interview will be processed into a narrative form of storytelling and then poured into a persona document. By using the above method, you can dig deeper to get a sharper solution to the problems experienced by users. The results of these four methods have proven to be effective in the need elicitation process because these four methods are interrelated and complement each other. This study resulted in a storyboard containing recommended solutions from the results of the excavation of needs carried out on users of the University of Muhammadiyah Malang E-Learning system

Customer emotion research in hospitality and tourism: conceptualization, measurements, antecedents and consequences

Purpose To clarify inconsistencies in the emotion elicitation process and to suggest avenues for advancing emotion research, this study aims to conduct a systematic review of emotion research in the subject area of hospitality and tourism management. Design/methodology/approach This study analyzes 178 emotion-related articles published in 37 journals from 2004–2019 in the context of hospitality and tourism, providing a systematic synthesis of publication outlets and trajectories, research settings, the conceptualization of emotion, emotion measurement, classifications of antecedents and consequences. Findings Regarding the elicitation of emotions, many studies ignore the developments in emotion research in the mainstream discipline and still consider external stimuli as the direct causes of emotion. Numerous studies conceptualize customer emotion as positive or negative, which overlooks the nuances between discrete emotions with the same valence. Additionally, emotion scales are largely borrowed from psychology without considering the specific characteristics of the hospitality and tourism context. Methodologically, most studies take a single-measure lens with either a self-report, physiological or expression behavior measure. Research limitations/implications The analysis of the literature highlights three main areas for future emotion studies in the hospitality and tourism context. Originality/value Previous reviews are narrative and only address specific areas of interest, rendering them incapable of explaining how a systematic literature identification process was conducted. The present systematic review is among the first to provide an overview of emotion studies in hospitality and tourism over a 15-year period. By drawing insights from appraisal theories of emotions, this review addresses common misunderstandings concerning the emotion elicitation process in the current hospitality and tourism literature.

Metabolome analysis revealed that soybean–Aspergillus oryzae interaction induced dynamic metabolic and daidzein prenylation changes

Several isoflavonoids are well known for their ability to act as soybean phytoalexins. However, the overall effects of the soybean–Aspergillus oryzae interaction on metabolism remain largely unknown. The aim of this study is to reveal an overview of nutritive and metabolic changes in germinated and A. oryzae-elicited soybeans. The levels of individual nutrients were measured using the ustulation, ashing, Kjeldahl, and Folch methods. The levels of individual amino acids were measured using high-performance liquid chromatography. Low-molecular-weight compounds were measured through metabolome analysis using liquid chromatography-mass spectrometry. Although the levels of individual nutrients and amino acids were strongly influenced by the germination process, the elicitation process had little effect on the change in the contents of individual nutrients and amino acids. However, after analyzing approximately 700 metabolites using metabolome analysis, we found that the levels of many of the metabolites were strongly influenced by soybean–A. oryzae interactions. In particular, the data indicate that steroid, terpenoid, phenylpropanoid, flavonoid, and fatty acid metabolism were influenced by the elicitation process. Furthermore, we demonstrated that not the germination process but the elicitation process induced daidzein prenylation, suggesting that the soybean–A. oryzae interactions produce various phytoalexins that are valuable for health promotion and/or disease prevention.

A novel hybrid DEMATEL-K-means clustering algorithm for modeling the barriers of green computing adoption in the Philippines

Purpose This paper aims to propose a novel hybrid-decision-making trial and evaluation laboratory-K means clustering algorithm as a decision-making framework for analyzing the barriers of green computing adoption. Design/methodology/approach A literature review is conducted to extract relevant green computing barriers. An expert elicitation process is performed to finalize the barriers and to establish their corresponding interrelationships. Findings The proposed approach offers a comprehensive framework for modeling the barriers of green computing adoption. Research limitations/implications The results of this paper provide insights on how the barriers of green computing adoption facilitate the adoption of stakeholders. Moreover, the paper provides a framework for analyzing the structural relationships that exist between factors in a tractable manner. Originality/value The paper is one of the very first attempts to analyze the barriers of green computing adoption. Furthermore, it is the first to offer lenses in a Philippine perspective. The paper offers a novel algorithm that can be useful in modeling the barriers of innovation, particularly, in green computing adoption.