Temporal Knowledge Graph (TKG) reasoning involves predicting future facts based on historical information by learning correlations between entities and relations. Recently, many models have been ...proposed for the TKG reasoning task. However, most existing models cannot efficiently utilize historical information, which can be summarized in two aspects: 1) Many models only consider the historical information in a fixed time range, resulting in a lack of useful information; 2) some models use all the historical facts, thus some noise or invalid facts are introduced during reasoning. In this regard, we propose a novel TKG reasoning model with dynamic memory enhancement (DyMemR). Inspired by human memory, we introduce memory capacity, memory loss, and repetition stimulation to design a human-like memory pool that could remember potentially useful historical facts. To fully leverage the memory pool, we utilize a two-stage training strategy. The first stage is guided by the memory-based encoding module which learns embeddings from memory-based subgraphs generated through the memory pool. The second stage is the memory-based scoring module that emphasizes the historical facts in the memory pool. Finally, we extensively validate the superiority of DyMemR against various state-of-the-art baselines.
Embodied AI is one of the most popular studies in artificial intelligence and robotics, which can effectively improve the intelligence of real-world agents (i.e. robots) serving human beings. Scene ...knowledge is important for an agent to understand the surroundings and make correct decisions in the varied open world. Currently, knowledge base for embodied tasks is missing and most existing work use general knowledge base or pre-trained models to enhance the intelligence of an agent. For conventional knowledge base, it is sparse, insufficient in capacity and cost in data collection. For pre-trained models, they face the uncertainty of knowledge and hard maintenance. To overcome the challenges of scene knowledge, we propose a scene-driven multimodal knowledge graph (Scene-MMKG) construction method combining conventional knowledge engineering and large language models. A unified scene knowledge injection framework is introduced for knowledge representation. To evaluate the advantages of our proposed method, we instantiate Scene-MMKG considering typical indoor robotic functionalities ( Manip ulation and Mob ility), named ManipMob-MMKG . Comparisons in characteristics indicate our instantiated ManipMob-MMKG has broad superiority on data-collection efficiency and knowledge quality. Experimental results on typical embodied tasks show that knowledge-enhanced methods using our instantiated ManipMob-MMKG can improve the performance obviously without re-designing model structures complexly.
•OHCs enable physicians to share both general and specific health knowledge.•General knowledge-sharing is positively associated with specific knowledge-sharing through online reputation.•Patient ...involvement strengthens the effects of general knowledge-sharing on online reputation and specific knowledge-sharing.•General knowledge-sharing can be an efficient approach for physicians to recruiting patients.
Although the sharing of knowledge in online health communities (OHCs) has been explored in recent years, little research has been done to explore the relationship between general and specific knowledge-sharing. Based on the literature on knowledge-sharing in OHCs, this study developed a research model to explore how physicians’ general knowledge-sharing behaviors influence their specific knowledge-sharing activities via their online reputations and the contingent role of patient involvement in OHCs. The research model was tested using objective data from a leading OHC in China. The results show that general knowledge-sharing is positively associated with specific knowledge-sharing, and this effect is exerted through online reputation. Moreover, patient involvement strengthens the relationship between general and specific knowledge-sharing as well as the relationship between online reputation and specific knowledge-sharing. By uncovering the relationship between general and specific knowledge-sharing, the research findings extend the understanding of knowledge-sharing and patient recruiting in OHCs and provide significant practical implications for practitioners.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
E-learners face a large amount of fragmented learning content during e-learning. How to extract and organize this learning content is the key to achieving the established learning target, especially ...for non-experts. Reasonably arranging the order of the learning objects to generate a well-defined learning path can help the e-learner complete the learning target efficiently and systematically. Currently, knowledge-graph-based learning path recommendation algorithms are attracting the attention of researchers in this field. However, these methods only connect learning objects using single relationships, which cannot generate diverse learning paths to satisfy different learning needs in practice. To overcome this challenge, this paper proposes a learning path recommendation model based on a multidimensional knowledge graph framework. The main contributions of this paper are as follows. Firstly, we have designed a multidimensional knowledge graph framework that separately stores learning objects organized in several classes. Then, we have proposed six main semantic relationships between learning objects in the knowledge graph. Secondly, a learning path recommendation model is designed for satisfying different learning needs based on the multidimensional knowledge graph framework, which can generate and recommend customized learning paths according to the e-learner’s target learning object. The experiment results indicate that the proposed model can generate and recommend qualified personalized learning paths to improve the learning experiences of e-learners.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Using a sample of 162 R&D teams, we investigated the influence of HRM systems for knowledge-intensive teamwork on external team knowledge acquisition and internal team knowledge sharing. This study ...also examined the interactive effect of HRM systems and knowledge tacitness and the combined influence of HRM systems and empowering leadership. HRM systems for knowledge-intensive teamwork were positively associated with team knowledge acquisition and team knowledge sharing. Knowledge tacitness moderated the HRM–knowledge acquisition relationship, reducing the influence of HRM systems. Further, empowering leadership appeared to substitute for the effect of HRM systems. Our findings suggest that an integration of strategic HRM and knowledge teamwork literatures will prove useful for advancing our understanding of knowledge-based competition. Furthermore, by investigating HRM systems and leadership behaviors in tandem, we gain new insights about the interplay between these two important aspects of organizational life.
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NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
497.
Knowledge Management Models: A Summative Review Sensuse, Dana Indra; Cahyaningsih, Elin
International journal of information systems in the service sector,
01/2018, Volume:
10, Issue:
1
Journal Article
Peer reviewed
Knowledge and knowledge management started to be an option of organizational strategic step for reach organizational objectives and goals. Knowledge management believed to resolve organizational ...problem in managing their organizational and individual knowledge. Implementation of knowledge management (KM) has received increased interests. This paper aims to discuss KM models based on KM related definitions, concepts, functions, activities and approaches. Literatures on knowledge management models were collected from a number of sources. Each document then was analyzed and categorized in a certain group. The study shows that there are four categories of KM models i.e.: process, strategy, knowledge type, and maturity based knowledge management models.
This research empirically investigates the relationship between organizational culture, knowledge sharing, organizational innovation, and competitive advantage. Data were collected from 294 ...industrial managers, and PLS-SEM was used to validate data and examine the hypothesized relationships. Results revealed that organizational culture, knowledge sharing, and organizational innovation positively affect competitive advantage. More specifically, organizational culture fosters knowledge-sharing and innovation activities among the workforce and links them with high-level business processes that could be conducive to acquiring advanced manufacturing capabilities. The present study highlighted that organizational culture is indispensable for business operational success, and knowledge-sharing and organizational innovation appear to be key drivers for gaining competitive advantage.
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•Organizational culture is important to sustain competitive advantage.•We suggest KS and OI as modern-firms drivers important to expand CA.•This study explores KS and OI contribute to sustainable business development.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Purpose
Inspired by the theory of planned behavior, the purpose of this paper is to examine the impact of the big five personality (BFP) traits (openness, conscientiousness, extraversion, ...agreeableness, and neuroticism) on four aspects of individuals’ knowledge management (KM) behaviors: knowledge acquisition, knowledge storage, knowledge sharing, and knowledge application.
Design/methodology/approach
A survey-based approach was used to collect data from 221 employees from five knowledge-intensive firms.
Findings
The partial least square analyses confirmed a positive effect of two personality traits, openness and conscientiousness, on knowledge acquisition as well as knowledge application behavior. In addition, the positive effects of extraversion and conscientiousness traits on knowledge storage behavior were confirmed. The findings also revealed that agreeableness and openness traits positively relate to knowledge sharing behavior. Finally, neuroticism had a negative effect on knowledge acquisition and application behavior.
Practical implications
This study suggests that organizations need to incorporate employees’ personality into the design and implementation of their KM systems. The findings provide managers with insight into the course of personnel selection and retention to facilitate KM behaviors in organizations.
Originality/value
Little is known about the relationship between the BFP traits and four aspects of KM behaviors at the individual level. The present study has contributed to the existing body of literature through clarifying how personality traits relate to four dimensions of individuals’ KM behaviors.
Universities are expected to be places where knowledge is shared freely among academicians. However, the reality shows that knowledge sharing is barely present within universities these days. As ...Malaysia shifts towards building a knowledge-based society, academic institutions, particularly the public universities, now face ever-growing faculty demands for sharing quality resources and expertise. As a result, knowledge sharing in academia has become a rising concern. The purpose of this study, then, is to uncover the factors that propel knowledge sharing among academicians in higher learning institutions of Malaysia. Using the Theory of Reasoned Action as the basis for this study's research framework, data was gathered from 447 academicians in 10 public universities scattered throughout the country. Findings from the Partial Least Squares analysis revealed that extrinsic motivation, reciprocal relationships, sense of self-worth and subjective norm are vital determinants of an academician's attitude towards knowledge sharing. In turn, this attitude that is formed will largely determine whether the academician engages in knowledge sharing behaviors or not. Besides having a positive effect on attitude, sense of self-worth also exhibited a positive impact on the subjective norm to share knowledge. Consequently, this subjective norm will have an impact upon knowledge sharing behavior. In addition, perceived behavioral control and organizational climate were discovered to have a direct influence on knowledge sharing behaviors. Implications, limitations as well as suggestions for future research are accordingly discussed in this paper. (HRK / Abstract übernommen).
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BFBNIB, DOBA, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, IZUM, KILJ, KISLJ, MFDPS, NLZOH, NMLJ, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UILJ, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
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