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Journal articles on the topic 'SECI model'

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Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Mardiani, Mardiani. "Desain Model Data Mining pada Model SECI untuk Pemetaan dan Ekstraksi Pengetahuan Kompetensi Lulusan." JATISI (Jurnal Teknik Informatika dan Sistem Informasi) 8, no. 3 (September 14, 2021): 1607–14. http://dx.doi.org/10.35957/jatisi.v8i3.1349.

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Manajemen pengetahuan menggunakan Model SECI membantu dalam transfer pengetahuan tacit dan eksplisit. Keterbatasan kemampuan sumber daya manusia dalam transfer pengetauan membutuhkan alat bantu dalam prosesnya. Ekstraksi pengetahuan dapat dilakukan dengan implementasi data mining. Hasil keluaran data mining yang besar akan dimanfaatkan oleh dunia pendidikan untuk tujuan strategis, misalnya evaluasi penyusunan profil lulusan dari hasil analisis kompetensi lulusan. Kurikulum Program Studi disusun berdasarkan profil Lulusan dan Program Studi membutuhkan pemetaan kebutuhan dari data alumni dalam menyusun kurikulum, sementara alumni membutuhkan mata kuliah yang mendukung setelah selesai kuliah. Manajemen Pengetahuan menampung pengetahuan dari lulusannya, sementara Data mining digunakan sebagai alat dalam mengolah data. Transfer pengetahuan dan pengolahan data kompetensi lulusan, dan memungkinkan munculnya pengetahuan baru bagi perguruan tinggi yang bisa dimanfaatkan dalam proses penyusunan kurikulum berikutnya. Model yang digunakan adalah SECI dikombinasikan dengan algoritma klasifikasi dan clustering. Model SECI yang sudah dipetakan alat bantu teknologinya pada setiap prosesnya, dibuat lebih jelas dan spesifik pengelompokkannya dengan implementasi Data Mining pada setiap kuadran Model SECI. Desain model SECI yang dikombinasikan dengan teknologi Data Mining akan memperbaiki kekurangan yang terdapat pada model sebelumnya.

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2

Baldé, Mariama, Aristides I. Ferreira, and Travis Maynard. "SECI driven creativity: the role of team trust and intrinsic motivation." Journal of Knowledge Management 22, no. 8 (December 3, 2018): 1688–711. http://dx.doi.org/10.1108/jkm-06-2017-0241.

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Purpose The purpose of this paper is to examine employees’ knowledge creation processes by leveraging a conceptual framework based on the socialisation, externalisation, combination and internalisation (SECI) model introduced by Nonaka and Takeuchi (1995). Given that many employees work within teams, in the current study, the authors examine the impact that team-level trust and intrinsic motivation have on an employee’s SECI model and, in turn, the relationship between SECI model and individual creativity. As such, this work represents one of the first works to examine team-level factors that shape individual knowledge creation and creativity. Additionally, building on and extending previous SECI research, the authors develop a scale to measure SECI models that uses peer-rated assessments. Design/methodology/approach Data were collected from 431 employees who worked in 59 teams drawn from 51 companies in a variety of industry sectors, both SME’s and corporate. To minimise common method bias, the SECI model questionnaire was adapted to the individual level through peer ratings instead of self-ratings (each employee rated three peers). To assess the hypotheses, hierarchical linear models using IBM SPSS were applied. The questionnaires were completed using both paper and online versions. Findings Results showed that SECI mediates the relationships between individual-level creativity and both team-level intrinsic motivation and trust. Furthermore, findings suggest that the scale developed is a reliable measure of SECI. Practical implications Knowledge creation and sharing practices should take into account both, a team’s trust and its intrinsic motivation, which would result in creativity. Originality/value This paper examines the impact that team-level factors (i.e. team trust and team intrinsic motivation) have on individual SECI and creativity across a variety of industries. As such, this work is one of the first to examine the impact of team-level factors in shaping individual knowledge creation and creativity. Given the support that the study found for this hypothesis, this work demonstrates that team trust and intrinsic motivation are salient factors in shaping individual employee knowledge creation and creativity. Given the novelty of this work, the authors hope is that this study will be the foundation upon future cross-level studies of individual-level SECI and individual creativity can be built so as to improve SECI models.

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Șandor, Andrei, and Gabriela Tonţ. "Knowledge Management in Military Organizations. A Seci Model Perspective." International conference KNOWLEDGE-BASED ORGANIZATION 27, no. 1 (June 1, 2021): 237–40. http://dx.doi.org/10.2478/kbo-2021-0036.

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Abstract Knowledge management is a multidisciplinary domain that involves people, technology, and processes. From these three components results a series of social, technical, and other implications which influences the way knowledge is created, stored, and transmitted through organizations. One way to express these processes is through the SECI model, based on the two types of knowledge: tacit and explicit. The four dimensions of the SECI model – socialization, externalization, combination, and internalization, have particular features from organization to organization, based on the domain of activity, organizational culture and other cultural influences, type of management, processes and so on. Considering that military organization have an essential role in assuring global security and they heavily rely on knowledge, the study of knowledge management from the SECI model point of view is important as it can offer a better understating on this domain and improve it in the studied field of activity.

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4

Mustapha, S. M. F. D. Syed. "Towards Building Monolithic Computational Platform for SECI Model." International Journal of Intelligence Science 06, no. 04 (2016): 29–41. http://dx.doi.org/10.4236/ijis.2016.64004.

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5

Andreasik, Jan. "Operationalization SECI Model of Knowledge Management by Enterprise Ontology." Barometr Regionalny. Analizy i Prognozy 17, no. 1 (2019): 41–57. http://dx.doi.org/10.35480/braip-2019.17.1-723.

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6

Sian Lee, Chei, and Rujuta S. Kelkar. "ICT and knowledge management: perspectives from the SECI model." Electronic Library 31, no. 2 (April 5, 2013): 226–43. http://dx.doi.org/10.1108/02640471311312401.

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7

Dubberly, Hugh, and Shelley Evenson. "Design as learning---or "knowledge creation"---the SECI model." Interactions 18, no. 1 (January 2011): 75–79. http://dx.doi.org/10.1145/1897239.1897256.

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8

Charsombut, Natapone. "Collaborative knowledge management in organisation from SECI model framework." International Journal of Modelling in Operations Management 1, no. 3 (2011): 251. http://dx.doi.org/10.1504/ijmom.2011.039529.

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9

Zuraidah, Eva. "Knowledge Management System Untuk SDM Menggunakan Seci Model (Studi Kasus: Koperasi Karyawan)." Jurnal Informatika 5, no. 1 (April 15, 2018): 157–68. http://dx.doi.org/10.31311/ji.v5i1.2481.

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Abstrak Koperasi Pegawai Badan Urusan Logistik adalah sebuah Koperasi yang bergerak dalam bidang jasa, simpan-pinjam. Knowledge Managment System tersebut, nampaknya sudah menjadi suatu kebutuhan mendasarkan untuk meningkatkan kualitas sumber daya manusia yang khususnya kepada karyawan. Knowledge management merupakan usaha untuk meningkatkan knowledge yang berguna dalam koperasi. Knowledge management tidak hanya merupakan pengaturan akan knowldge, namun lebih pada manajemen suatu koperasi dengan fokus khususnya terhadap knowledge, knowledge management dengan sebuah sistem, yang diharapkan dapat menjadi solusi dari kebutuhan aliran knowledge yang tidak dihalangi oleh batasan waktu dan tempat. Penelitian ini akan mengembangkan analisa knowledge management system dan merancang aplikasi dari analisa yang dikembangkan. Metodologi yang digunakan dengan model SECI dan melakukan analisa untuk mendapatkan knowledge management system tersebut. Analisa knowledge management system yang dihasilkan mendukung proses Sosialisasi, Eksternalisasi, Kombinasi, Internalisasi (SECI). Knowledge management system ini dikembangkan sebagai sarana sharing pada karyawan. Kata kunci: Knowledge Management System,SECI, Koperasi,SDM Abstract Employee Cooperative Agency of Logistics Affairs is a cooperative engaged in services, savings, and loans. Knowledge Managment System, it seems to have become a basic need to improve the quality of human resources, especially to employees. Knowledge management is an attempt to improve knowledge useful in cooperatives. Knowledge management is not only an arrangement of knowledge but rather the management of a cooperative with a particular focus on knowledge, knowledge management with a system, which is expected to be a solution of the needs of the flow of knowledge that is not hindered by time and space constraints. This research will develop the knowledge management system and design the application of the developed analysis. The methodology used with the SECI model and perform the analysis to obtain the knowledge management system. The analysis of the resulting knowledge management system supports the process of Socialization, Externalization, Combination, Internalization (SECI). Knowledge management system was developed as a means of sharing in employees Keywords: Knowledge Management System, SECI, Koperasi, SDM

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Wu, Susandi. "PENERAPAN MODEL SECI DALAM PROGRAM PENGEMBANGAN PROFESIONAL UNTUK MENINGKATKAN MODAL INTELEKTUAL GURU [IMPLEMENTATION OF SECI MODELS IN PROFESSIONAL DEVELOPMENT PROGRAMS TO IMPROVE TEACHERS' INTELLECTUAL CAPITAL]." Polyglot: Jurnal Ilmiah 15, no. 2 (August 24, 2019): 284. http://dx.doi.org/10.19166/pji.v15i2.1652.

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<p>Schools are an important key for a nation because schools play a role in preparing the nation's next generation. Schools are organizations that require good knowledge management. The knowledge that schools have is the work of their members, the teachers. The knowledge possessed by teachers varies. For this reason, schools must create a system so that knowledge can be shared and learned by all the teachers in the school. One way that can be done is by implementing a professional development program. Through this program, there will be a process of knowledge transfer according to the SECI model. This program is effective in increasing the knowledge of teachers and thus their intellectual capital. If the intellectual capital of the teachers increases, their competence in teaching will also develop and they can create a better generation for the nation.</p><p><strong>BAHASA INDONESIA ABSTRAK: </strong>Sekolah adalah kunci penting suatu bangsa, karena sekolah berperan dalam mempersiapkan generasi penerus bangsa. Sekolah merupakan sebuah organisasi yang memerlukan pengelolaan pengetahuan yang baik. Pengetahuan yang dimiliki sekolah adalah hasil kreasi para anggotanya, yaitu para guru. Pengetahuan yang dimiliki oleh para guru, tidaklah sama antara satu dan yang lainnya. Untuk itu, sekolah harus menciptakan suatu sistem agar pengetahun tersebut dapat dibagikan dan dipelajari oleh semua guru di dalamnya. Salah satu cara yang dapat dilakukan adalah mengadakan program pengembangan professional. Melalui program ini, maka akan terjadi proses perpindahan pengetahuan menurut model SECI. Program ini efektif untuk meningkatkan pengetahuan para guru yang merupakan modal intelektual mereka. Jika modal intelektual para guru bertambah, maka kompetensi mereka juga akan berkembang terutama dalam pengajaran. Hal ini diharapkan dapat menciptakan generasi penerus bangsa yang berkompetensi tinggi di kemudian hari.</p>

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Li, Min, Huimin Liu, and Jing Zhou. "G-SECI model-based knowledge creation for CoPS innovation: the role of grey knowledge." Journal of Knowledge Management 22, no. 4 (May 14, 2018): 887–911. http://dx.doi.org/10.1108/jkm-10-2016-0458.

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Purpose This paper aims to propose a new knowledge creation model called Grey SECI (G-SECI), study the knowledge creation mechanism and the relationship between knowledge creation models and innovation performance during complex product systems (CoPSs) development. Research and development of CoPSs relies heavily on knowledge creation. However, most scholars have studied CoPS innovation stages from the view of design process of system products, focussing on functional management and project management during the R&D process for CoPS. Attention is lacking with regards to the key and essence of creating a complex technology: the creation of knowledge. Design/methodology/approach Modified from the classic SECI model’s spiral process of knowledge creation, a grey-SECI (G-SECI) knowledge creation model is here proposed vis-à-vis three knowledge categories: explicit knowledge, grey knowledge and tacit knowledge. Then, this paper further analyzes the effects of knowledge creation from the perspective of individual and the view of organization. Besides, an empirical study is conducted. Findings Statistical analysis indicates that there are three main paths of knowledge creation: individual experience knowledge acquisition, individual communication and reflection and organizational knowledge learning. Results further suggest that knowledge internalization by practice (KIP) is the key mode of knowledge creation, as well as the most important step for high-quality CoPS performance. Moreover, individual innovation performance is influenced by knowledge internalization by reflection and KIP; and organization innovation performance is influenced by knowledge combination and knowledge systematization. Research limitations/implications The coverage of geographical distribution is limited. Therefore, there are no data from foreign enterprises. The impact of different geographical cultures on CoPS knowledge creation model could be further investigated; in addition, the statistical analysis results of this study need to be further verified in other industries. Practical implications This paper provides a series of insights for CoPS project leaders. The results may also provide practical guidance for the related management personnel in the fields of human resource training, project planning, project quality and technology R&D in CoPS R&D management. Originality/value The paper’s main contribution is to modify classic SECI knowledge conversion model by introducing grey knowledge and build a new G-SECI knowledge creation model. Besides, the paper adds empirical evidence on the knowledge creation paths in CoPS and reveals that internalization by practice is the key mode of knowledge creation.

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Sidik, R., and M. Fitriawati. "Seci Implementation Model: Supporting Efforts to Preserve Sundanese Concept Culture." IOP Conference Series: Materials Science and Engineering 407 (September 26, 2018): 012130. http://dx.doi.org/10.1088/1757-899x/407/1/012130.

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13

Wu, Yue, Dai Senoo, and Rémy Magnier‐Watanabe. "Diagnosis for organizational knowledge creation: an ontological shift SECI model." Journal of Knowledge Management 14, no. 6 (October 26, 2010): 791–810. http://dx.doi.org/10.1108/13673271011084862.

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Allal-Chérif, Oihab, and Mohamed Makhlouf. "Using serious games to manage knowledge: The SECI model perspective." Journal of Business Research 69, no. 5 (May 2016): 1539–43. http://dx.doi.org/10.1016/j.jbusres.2015.10.013.

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Bartolacci, Chiara, Cristina Cristalli, Daniela Isidori, and Federico Niccolini. "Ba virtual and inter-organizational evolution: a case study from a EU research project." Journal of Knowledge Management 20, no. 4 (July 11, 2016): 793–811. http://dx.doi.org/10.1108/jkm-09-2015-0342.

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Purpose Taking Nonaka’s SECI model as the main reference, this paper aims to offer reflections on the virtual evolution of ba, the places for knowledge creation. Indeed, looking at the current scenario, widening the knowledge spiral to the inter-organizational epistemological level is inevitable. To this aim, information technology tools and virtual communities can establish effective interactions to exchange knowledge, making ba evolve congruently. Design/methodology/approach The paper takes the exemplary case of a platform developed during a European research project called “BIVEE: Business Innovation in Virtual Enterprise Environments”. The investigative approach chosen is participatory action research (PAR), with two researchers conducting PAR in real time, and two others involved ex post. Findings The paper shows that the virtual evolution of ba can lead the SECI model towards an inter-organizational level. Moreover, through a learning history, it describes how all the phases of the SECI process, even the Socialization one, can take place or be supported in virtual spaces. Research limitations/implications Taking into account just one single exemplary case study provides a rich, contextualized understanding of phenomena, while allowing only some theoretical generalizations. Originality/value This paper contextualizes the SECI model within a Web platform for open innovation, to investigate whether the knowledge creation process can take place entirely within a virtual environment linking subjects from different organizations. In so doing, it applies the SECI model to the phases of the innovation process, called waves.

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Zulfikar Alimuddin, Jann Hidajat Tjakraatmadja, Achmad Ghazali, and Henndy Ginting. "Using Seci To Improve Teachers’ Pedagogical Content Knowledge." Electronic Journal of Knowledge Management 19, no. 1 (May 13, 2021): 1–14. http://dx.doi.org/10.34190/ejkm.19.1.2146.

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Pedagogical Content Knowledge (PCK) is a form of knowledge that has a big role in determining the success of the teaching and learning process in the classroom. Teachers in one school tend to have different levels of PCK, depending on each teacher’s background knowledge and experience. Previous professional teacher development schemes in Indonesia have been held in a way that emphasises the teacher’s individual learning aspects, were held separately between different teaching subjects (such as through a Mandatory Regional Teacher Meetings based on subject matters, known as “MGMP” in Indonesia), and has a lack of documented reports about the impact of that training on teaching. This study offers an alternative way to improve teachers' PCK using the knowledge creation approach. This study used the SECI model to design a procedure to facilitate teachers from the same school to share, externalise, combine, and internalise other teachers’ PCK for their own teaching practice. The procedures of this study have addressed several problems that are found in previous attempts of using PCK in an educational setting. This study found that one cycle of the SECI model could improve teachers' PCK (F(2, 40) = 68,963, p < 0,05) and has the potential to close the gap between teachers’ PCK levels. Further research on an iterative SECI model to improve PCK with a longer timeframe and that evaluates factors that might affect the SECI process is needed to explore the potential of creating a shared perspective of PCK among teachers and create a contextual standard for a school as an educational institution. Exploratory research regarding teachers’ natural knowledge sharing and knowledge acquisition is also offered.

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Hoe, Siu Loon. "Tacit knowledge, nonaka and takeuchi seci model and informal knowledge processes." International Journal of Organization Theory & Behavior 9, no. 4 (March 2006): 490–502. http://dx.doi.org/10.1108/ijotb-09-04-2006-b002.

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Nonaka, Ikujiro, Ryoko Toyama, and Noboru Konno. "SECI, Ba and Leadership: a Unified Model of Dynamic Knowledge Creation." Long Range Planning 33, no. 1 (February 2000): 5–34. http://dx.doi.org/10.1016/s0024-6301(99)00115-6.

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Chatterjee, Aindrila, Arun Pereira, and Bijan Sarkar. "Learning transfer system inventory (LTSI) and knowledge creation in organizations." Learning Organization 25, no. 5 (July 9, 2018): 305–19. http://dx.doi.org/10.1108/tlo-06-2016-0039.

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Purpose Knowledge creation has received substantial attention by researchers, ever since the Socialization Externalization Combination Internalization (SECI) process was introduced. Learning Transfer System Inventory (LTSI) focuses on learning transfer and has been validated across many countries. The purpose of this paper is to explore the theoretical underpinnings between LTSI and SECI, and LTSI’s role in knowledge amplification as part of the organizational knowledge creation spiral. Design/methodology/approach The literature on organizational learning, SECI and LTSI is studied, as well as a detailed review of the LTSI constructs as it relates to SECI is completed. Findings Both SECI and LTSI emphasize the substantial interplay between explicit and tacit knowledge as the basis of knowledge interchange. The result of this research is a theoretical framework combining LTSI and SECI that can help understand knowledge transfer in terms of interplay of explicit and tacit knowledge and LTSI’s role in knowledge amplification as part of organizational knowledge creation. Practical implications It is proposed that LTSI can potentially be used to gauge the propensity of an organizational environment to create and transfer knowledge ontologically, as well as adopt knowledge management systems. The LTSI constructs into basic knowledge interactions (various combinations of explicit and tacit knowledge conversions) are categorized thus helping practitioners analyze the basic building blocks of learning transfer and knowledge creation. The theoretical association of the two frameworks paves the way for more empirical validation of the SECI model potentially. Originality/value This paper is an original attempt to associate SECI with LTSI.

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Lievre, Pascal, and Jing Tang. "SECI and inter-organizational and intercultural knowledge transfer: a case-study of controversies around a project of co-operation between France and China in the health sector." Journal of Knowledge Management 19, no. 5 (September 14, 2015): 1069–86. http://dx.doi.org/10.1108/jkm-02-2015-0054.

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Purpose – The purpose of this paper is to study the obstacles to knowledge transfer between organizations belonging to different cultures by making use of the socialization–externalization – combination – internalization (SECI) model. The contribution made by this paper is in the use of the SECI model for studying this type of issue. Although it recognizes the epistemological duality between tacit and explicit knowledge, the traditional literature had not adopted this theoretical structure. The explanation for this is an excessively simplistic interpretation of the SECI model in its 1995 version together with a lack of knowledge about Nonaka’s more recent works – Nonaka et al. (2008). Design/methodology/approach – The authors use a comparative case study opposing a failure and a success, and rely on Latour controversies to account for the context and contradictions. One of the authors worked for five years as a mediator in these projects and adopted the reflective practitioner posture of Schön. Findings – Using the SECI model is relevant for studying this question. The results obtained converge with the literature and mark the SECI’s first stage – socialization – as an operation of major importance. The authors show that the failure in knowledge transfer is due to a deficit of socialization, as the lack of prolonged situations of co-presence of the actors, i.e. the lack of shared context, impedes knowledge conversion. Research limitations/implications – To go further, conditions of the socialization context must be better specified and developed. Second, cases in other areas than the health sector to observe the circulation of knowledge could be developed. Practical implications – The findings suggest ways for managers to fight against knowledge transfer barriers in multicultural contexts, relying on the socialization process. Social implications – Accounting for the problem of knowledge transfer in a multicultural context through the SECI model, which focusses on the interaction between tacit and explicit knowledge, opens a fruitful line of reflexion. It would organize trips for French managers in China with a strong intercultural dimension. Originality/value – Accounting for the problem of knowledge transfer in a multi culural context through the SECI model, which focusses on the interaction between tacit and explicit knowledge, opens a fruitful line of reflexion.

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Sasaki, Yasuo. "A note on systems intelligence in knowledge management." Learning Organization 24, no. 4 (May 8, 2017): 236–44. http://dx.doi.org/10.1108/tlo-09-2016-0062.

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Purpose This paper aims to show that systems intelligence (SI) can be a useful perspective in knowledge management, particularly in the context of the socialization, externalization, combination and internalization (SECI) model. SI is a recently developed systemic concept, a certain kind of human intelligence based on a systems thinking perspective. Design/methodology/approach This paper first provides an overview of the related literature, and then conceptually discusses the role of SI in organizational knowledge creations. Findings SI can work as a powerful momentum in each stage as well as the whole process of SECI. Originality/value This paper is the first application of SI to the field of knowledge management. It provides us with a new perspective to touch human factors in knowledge management processes, which are considered to be essential in the SECI model.

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MATSUI, Takanori, Tomoyuki TSUDA, and Makoto MORINAGA. "Discussion about Knowledge Management Model for Environmental Problems using SECI-Model and Ontology Engineering Technology." ENVIRONMENTAL SYSTEMS RESEARCH 35 (2007): 333–42. http://dx.doi.org/10.2208/proer.35.333.

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Lin, Xin. "Research on the Industrial Technology Road-Mapping Based on the SECI Model." Open Journal of Social Sciences 07, no. 04 (2019): 52–62. http://dx.doi.org/10.4236/jss.2019.74005.

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Pusparini, Nur, Agus Budiyantara, and Sofian Lusa. "The Effect Of Knowledge Management System For Academic Services With SECI Model." METHOMIKA: Jurnal Manajemen Informatika dan Komputerisasi Akuntansi 4, no. 1 (April 1, 2020): 80–88. http://dx.doi.org/10.46880/jmika.v4i1.137.

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Based on the 1945 Constitution of the Republic of Indonesia – Article 37 of 2009 verse 8 states that a lecturer profession obliges to a minimum of 12 and maximum of 16 teaching credits in every semester according to his/her academic qualifications. Todays, Institute of Information Management and Computer Science (STMIK) Widuri has been applying a sharing knowledge process amid lecturers with the intention to assist them in academic position ladder management. However, problems are found during its implementation. First problem is infrequentTri Dharma practices (three principles of higher education; education, research and contribution to society)and reports being submitted by lecturers; the condition has resulted a statistic of STMIK active lecturers in general to decrease to 41.6%. Lack of information regarding Tri Dharma practices and its administrations known by its lecturers is the one missed to solve; a lecturer does not comprehensively understand what the stages are required in order to administer their academic position ladder. Second issue is there has been no media to facilitate lecturers to spread and share the knowledge and experience with the other fellow lecturers that the process of levelling up their academic tenures or positions become hampered. This means, the slower the process the longer it takes for them to move up to the next academic position ladder. As this is the case, the researchers propose aprototype of knowledge management system (KMS) utilizing SECI methodand gathering data through interviews, observations as well as literature studies. Software used is User Acceptance Test (UAT). Furthermore, the research has come up with a web-based KSM prototype with test percentage result76%; this means the system is accepted and matched the expectation.

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Davidekova, Monika, and Jozef Hvorecky. "ICT Collaboration Tools for Virtual Teams in Terms of the SECI Model." International Journal of Engineering Pedagogy (iJEP) 7, no. 1 (February 28, 2017): 95. http://dx.doi.org/10.3991/ijep.v7i1.6502.

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Nowadays, the current state of development of information and communication technology (ICT) connects individuals across time and space in one common environment, that is accessible for anyone, the virtual world. To collaborate with somebody or to participate in a team activity does not require a physical presence anymore. Virtual settings allow real-time communication and cooperation across any distance at any time with negligible delay. ICT allows formation of virtual teams where those accomplish various functions in work, education and private life. Compared to local teams of physically present individuals, the collaboration in virtual environments is more intensively influenced by significantly impacting factors and requires intensive motivation of the team members, extensive support by their team leader and appropriate technology. Among all the available ICT tools, not each ICT tool is equally suitable for each and every team activity. This paper aims to provide analysis of various ICT tools, to disclose their potential to contribute to team’s quality communication and to reduce drawbacks caused by impersonal environment. Our aim is to optimize the composition of the ICT supporting infrastructure in order to form successful and effective collaboration.

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Harianto, Joanggi Wiriatarina, Nursalam Nursalam, and Yulis Setiya Dewi. "Patient Safety Based Knowledge Management SECI to Improve Nusrsing Students Competency." Jurnal NERS 10, no. 2 (October 15, 2015): 324. http://dx.doi.org/10.20473/jn.v10i22015.324-331.

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Introduction: Patient safety is an important component of health services quality,and basic principles of patient care. Nursing students also have a great potential to make an action that could endanger the patient, because hospital is one of student practice area. The purpose of this study was to improve the nursing students competency in patient safety by using knowledge management SECI approached. Method: The study used exploratory survey, and quasy experiment. The samples were some of nursing students of STIKes Muhammadiyah Samarinda who were on internship programme that selected using simple random sampling technique, in total of 54 students. This research’s variables were the knowledge management SECI based-patient safety and nursing student’s competency. The data were collected by using questionnaires and observation. The data were analyze by using Partial Least Square (PLS). Result: The result showed that there were significant influence the implementation of a model patient safety based knowledge management seci on increased competence nursing students. Discussion: Improved student competency in patient safety using SECI knowledge management was carried out in four phases, that is Socialization, Externalization, Combination, and Internalization. The result was a new knowledge related to patient safety that able to improve the student’s competency..Keywords: Patient safety, Knowledge management, SECI, competency

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Cai, Guo Min. "Research on Impact of Medical People Based on Cloud SECI Accounting Theory." Advanced Materials Research 971-973 (June 2014): 2368–71. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.2368.

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Mode cloud accounting environment will have a profound impact on people's psychological and behavioral accounting. Introduction of SECI theory, respectively, from the grouping, externalization, integration, within the perspective of the impact of the four cloud accounting person in the organization of social ability, initiative, collaboration capabilities and strategic thinking ability, constructed based on SECI cloud accounting theory impact analysis model accounting people and provide suggestions and strategies to build good environmental accounting under cloud accounting behavior.

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Kim Dong-il, Kim Hee-ju, and 이재호. "Analysis of Vocabulary and Reading Comprehension Abilities of Elementary School 6th Grade Students Using the Latent Class Model." Journal of Special Education for Curriculum and Instruction 12, no. 1 (March 2019): 27–44. http://dx.doi.org/10.24005/seci.2019.12.1.27.

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Hand, Nicholas J., Reinhard Klein, Anke Laskewitz, and Mechthild Pohlschröder. "Archaeal and Bacterial SecD and SecF Homologs Exhibit Striking Structural and Functional Conservation." Journal of Bacteriology 188, no. 4 (February 15, 2006): 1251–59. http://dx.doi.org/10.1128/jb.188.4.1251-1259.2006.

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ABSTRACT The majority of secretory proteins are translocated into and across hydrophobic membranes via the universally conserved Sec pore. Accessory proteins, including the SecDF-YajC Escherichia coli membrane complex, are required for efficient protein secretion. E. coli SecDF-YajC has been proposed to be involved in the membrane cycling of SecA, the cytoplasmic bacterial translocation ATPase, and in the stabilizing of SecG, a subunit of the Sec pore. While there are no identified archaeal homologs of either SecA or SecG, many archaea possess homologs of SecD and SecF. Here, we present the first study that addresses the function of archaeal SecD and SecF homologs. We show that the SecD and SecF components in the model archaeon Haloferax volcanii form a cytoplasmic membrane complex in the native host. Furthermore, as in E. coli, an H. volcanii ΔsecFD mutant strain exhibits both severe cold sensitivity and a Sec-specific protein translocation defect. Taken together, these results demonstrate significant functional conservation among the prokaryotic SecD and SecF homologs despite the distinct composition of their translocation machineries.

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Aljuboori, Ahmed, Lubab Ahmed Tawfeeq, and Khamis A. Al-Karawi. "Pushing towards ehealth for iraqi hypertensives: an integrated class association rules into SECI model." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (April 1, 2021): 522. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp522-533.

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<span lang="EN-GB">This paper highlights the barriers that have led to a delay in the implementation of E-Health services in Iraq. A new framework is proposed to improve the E-Health sector using a SECI model which describes how explicit and tacit knowledge is generated, transferred, and recreated in organizations through main stages (socialization, externalization, combination and internalization). Class association rules (CARs) is integrated to mine the SECI model by extracting related rules which correspond to the medical advice. The proposed framework (SECICAR) can be done through a web portal to assemble healthcare professionals, patients in one environment. SECICAR will be applied to the hypertension community to show that disease if left untreated, frequently leads to serious illnesses such as heart disease. The SECICAR aims to facilitate the dissemination of tacit knowledge, which is explicit to hypertensives, in the form of strategies, guidelines and best practices. The validation of the SECICAR results displays satisfactory accuracy and reliability. Heuristic evaluation was used to test the web portal, the participants stating that there were no major issues regarding its usability.</span>

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Liu, Ying Chieh, and FengChia Li. "Exploration of Social Capital and Knowledge Sharing." International Journal of Distance Education Technologies 10, no. 2 (April 2012): 17–38. http://dx.doi.org/10.4018/jdet.2012040102.

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Although research on virtual teams is becoming more popular, there is a gap in the understanding of how social capital affects knowledge sharing and creating, and their impacts on virtual team performance. To fill in this gap, this study establishes a framework by incorporating social capital with the SECI model and further examines it with an experiment on 65 student virtual teams. The results show that three factors of social capital, namely network ties, shared vision and trust are positively related to the four SECI modes, namely socialization, internalization, combination and externalization, and the latter three factors are found to be positively related to virtual team performance. The contributions of this study are twofold. The framework examines the relationships between social capital and the SECI model, which brought a broader prospective of studying knowledge management in a virtual team context. Moreover, leaders and managers of virtual teams should be made aware of enhancing the effects of social capital to improve the processes of knowledge sharing and creating, and encouraging internalizationn, combination and externalization to substitute the role of socialization.

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Zhang, Zhenyu, and Fang Huang. "An extended SECI model to incorporate inter-organisational knowledge flows and open innovation." International Journal of Knowledge Management Studies 11, no. 4 (2020): 408. http://dx.doi.org/10.1504/ijkms.2020.10031579.

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Zhang, Zhenyu, and Fang Huang. "An extended SECI model to incorporate inter-organisational knowledge flows and open innovation." International Journal of Knowledge Management Studies 11, no. 4 (2020): 408. http://dx.doi.org/10.1504/ijkms.2020.110671.

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Chikh, Azeddine. "A Knowledge Management Framework in Software Requirements Engineering Based on the SECI Model." Journal of Software Engineering and Applications 04, no. 12 (2011): 718–28. http://dx.doi.org/10.4236/jsea.2011.412084.

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Siagian, Hotmaida, Yetti Wilda, and Dony Sulystiono. "The Model of Type-2 Diabetes Mellitus Prevention based on SECI-Knowledge Management." Indian Journal of Forensic Medicine & Toxicology 13, no. 4 (2019): 1616. http://dx.doi.org/10.5958/0973-9130.2019.00537.1.

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Songkram, Noawanit, and Suparoek Chootongchai. "Effects of pedagogy and information technology utilization on innovation creation by SECI model." Education and Information Technologies 25, no. 5 (April 8, 2020): 4297–315. http://dx.doi.org/10.1007/s10639-020-10150-2.

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Nadae, Jeniffer De, and Marly Monteiro de Carvalho. "A knowledge management perspective of the project management office." Brazilian Journal of Operations & Production Management 14, no. 3 (September 6, 2017): 350. http://dx.doi.org/10.14488/bjopm.2017.v14.n3.a8.

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The purpose of this paper is to investigate the converting projects tacit knowledge into an available explicit knowledge in Project Management Offices, using the SECI model to analyze these processes. Using case studies, the information was gathered by in loco observation, interviews with PMO managers and project managers, and document analysis. The results show the socialization, externalization, combination and internalization, SECI in PMOs level, helping to visualize the process of transforming project tacit knowledge into explicit knowledge and to understand that knowledge must be incorporated into operational practices, rules in databases, and company history. Organizational culture was presented itself as a major factor, influencing this process of sharing knowledge among employees from the two companies studied. The steps of the spiral of knowledge, using the SECI model for the conversion of knowledge, the stage and how companies apply this conversion, show that these processes happen on a daily basis and continuously if the team understands this need. Project managers have to emphasizes the important of knowledge management, knowledge sharing and knowledge storage during the development of projects. Mainly PMO has an important role in the process of storage and sharing of knowledge.

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Iskandar, Deny, and Hady Syahrial. "Knowledge Management System Pengembangan Karir Dosen Menggunakan SECI Model : Studi Kasus PadaUniversitas Mercu Buana." Jurnal Ilmiah FIFO 10, no. 2 (March 1, 2019): 95. http://dx.doi.org/10.22441/fifo.2018.v10i2.010.

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Knowledge mengenai informasi, pengetahuan, aturan atau prosedur pengembangan karir dosen terkadang tidak sampai pada karyawan dosen ataupun staf lainnya, hal ini dikarenakan staf pada bagian kepangkatan dosen Biro Sumber Daya Manusia tidak selalu berada di tempat kerja dikarenakan ijin, sakit, cuti, perjalanan dinas atau hilangnya knowledge dikarenakanadanya staf yang dirotasi, staf yang mengundurkan diri atapun pensiun. Knowledge merupakan sumber daya atau aset yang sangat berharga bagi Universitas Mercu Buana, sehingga perlu dijaga dari segala macam sesuatu atau hal yang dapat membuat knowledge ituhilang, tidak terdokumentasikan atau tidak tersampaikan kepada staf atau karyawan dosen, untuk itu diperlukan sistem yaitu knowledge management system, untuk mengelola knowledge pengembangan karir dosen yang sudah ada dan yang akan datang secara berkesinambungan dan berkelanjutan, tujuan penelitian ini adalah untuk mengembangkan knownledge management system pengembangan karir dosen dengan SECI model pada Universitas Mercu Buana agar knowledge mengenai pengembangan karir dosen dapat terdokumentasikan dan terdistribusikan kepada karyawan Universitas Mercu Buana.

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Liu, Ying Chieh. "Applying Social Capital and SECI Model to Explore Gender Differences in Knowledge Sharing Behaviors." International Journal for Digital Society 2, no. 3 (September 1, 2011): 517–24. http://dx.doi.org/10.20533/ijds.2040.2570.2011.0062.

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Bandera, Cesar, Fazel Keshtkar, Michael R. Bartolacci, Shiromani Neerudu, and Katia Passerini. "Knowledge management and the entrepreneur: Insights from Ikujiro Nonaka's Dynamic Knowledge Creation model (SECI)." International Journal of Innovation Studies 1, no. 3 (December 2017): 163–74. http://dx.doi.org/10.1016/j.ijis.2017.10.005.

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Zhang, Ling-ling, Ming-hui Zhao, and Qiao Wang. "Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model." Frontiers of Engineering Management 3, no. 2 (2016): 136. http://dx.doi.org/10.15302/j-fem-2016030.

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Andreeva, Tatiana, and Irina Ikhilchik. "Applicability of the SECI Model of knowledge creation in Russian cultural context: Theoretical analysis." Knowledge and Process Management 18, no. 1 (November 25, 2010): 56–66. http://dx.doi.org/10.1002/kpm.351.

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Canonico, Paolo, Ernesto De Nito, Vincenza Esposito, Mario Pezzillo Iacono, and Stefano Consiglio. "Knowledge creation in the automotive industry: Analysing obeya-oriented practices using the SECI model." Journal of Business Research 112 (May 2020): 450–57. http://dx.doi.org/10.1016/j.jbusres.2019.11.047.

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Hosseini, Seyede Mehrnoush. "The application of SECI model as a framework of knowledge creation in virtual learning." Asia Pacific Education Review 12, no. 2 (December 9, 2010): 263–70. http://dx.doi.org/10.1007/s12564-010-9138-5.

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Jing, Ning Ning, Su Hui Han, and Xiao Mei Liao. "A Knowledge Transformation Model in Software Development Process." Advanced Materials Research 1008-1009 (August 2014): 1555–59. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.1555.

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Knowledge management plays an important role in improving software development performance and enhancing enterprises' competitiveness. In this paper, based on the basic process of software development and the SECI model, a knowledge transformation model in software development process is established. The model reveals the knowledge transformation forms and paths in each stage of the software development process. That is, along with the tacit and explicit knowledge conversion, the personal knowledge, group knowledge and organizational knowledge transformed. By these knowledge transformation processes, the new software is developed. At the same time, the innovation, accumulation and rational utilization of enterprise knowledge resources are achieved simultaneously.

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Jelavic, Matthew, and Kristie Ogilvie. "Cultural Perspectives on Knowledge Management in Central and Eastern Europe: The SECI Model of Knowledge Conversion and 'Ba'." Journal of Information & Knowledge Management 09, no. 02 (June 2010): 161–69. http://dx.doi.org/10.1142/s0219649210002607.

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This research discusses the SECI Model of Knowledge Conversion as it relates to the 10 Central and Eastern European Countries (CEECs) that are now part of the European Union (EU). The socio-economic conversion from socialism to capitalism of these societies is unique in historical precedence, whereby utilising the contextual models in knowledge conversion are applicable for understanding the implications of such a phenomenon. The results indicate that there is a unique set of variables that need to be considered within this context and for future similar situations.

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Gierszewska, Grażyna. "The Japanese Model of Knowledge Management." Foundations of Management 4, no. 1 (June 1, 2012): 7–16. http://dx.doi.org/10.2478/fman-2013-0001.

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Abstract The effectiveness of Japanese management methodologies is making them increasingly popular with business organisations all over the world. This paper aims to present one of the least known knowledge management theories: the knowledge creation model by I. Nonaka and H. Takeuchi. In their approach to the theory of organisational learning and knowledge creation, Nonaka and Takeuchi propose a categorisation of knowledge into tacit and explicit (formal) knowledge and explore the relationships between knowledge production, transfer and application; they also address the issue of applying existing and creating new knowledge. Presented SECI model captures the conversion of tacit knowledge into explicit knowledge in four steps: Socialisation, Externalisation, Combination and Internalisation. The paper examines case studies that illustrate the practical application of the processes.

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Hubers, Mireille D., Cindy L. Poortman, Kim Schildkamp, Jules M. Pieters, and Adam Handelzalts. "Opening the black box: knowledge creation in data teams." Journal of Professional Capital and Community 1, no. 1 (January 11, 2016): 41–68. http://dx.doi.org/10.1108/jpcc-07-2015-0003.

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Purpose – In this study, Nonaka and Takeuchi’s socialization, externalization, combination and internalization (SECI) model of knowledge creation is used to gain insight into the process of knowledge creation in data teams. These teams are composed of school leaders and teachers, who work together to improve the quality of education. They collaboratively create knowledge related to data use and to an educational problem they are studying. The paper aims to discuss these issues. Design/methodology/approach – A qualitative micro-process case study was conducted for two data teams. The modes, transitions and content of the knowledge creation process were analyzed for all data team meetings over a two-year period. In addition, all team members were interviewed twice to triangulate the findings. Findings – Results show that the knowledge creation process was cyclical across meetings, but more iterative within meetings. Furthermore, engagement in the socialization and internalization mode provided added value in this process. Finally, the SECI model clearly differentiated between team members’ processes. Team members who engaged more often in the socialization and internalization modes and displayed more personal engagement in those modes gained greater and deeper knowledge. Research limitations/implications – The SECI model is valuable for understanding how teams gain new knowledge and why they differ in those gains. Practical implications – Stimulation of active personal engagement in the socialization and internalization mode is needed. Originality/value – This is one of the first attempts to concretely observe the process of knowledge creation. It provides essential insights into what educators do in professional development contexts, and how support can best be provided.

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Fernando, Jorge Tenório, Silvio Popadiuk, and Neusa Maria Bastos Fernandes Santos. "Knowledge management at Unilever South America – enabling conditions and their interaction with the SECI model." Revista de Negócios 24, no. 2 (August 20, 2019): 7. http://dx.doi.org/10.7867/1980-4431.2019v24n2p7-26.

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This paper describes the organizational knowledge taxonomy, comprising management of an existing knowledge and creation of a new knowledge, portraying the theoretical path of the field with emphasis on some oppositions such as tacit-explicit and exploration-exploitation and their impact into the organizations. It presents the case study of Unilever South America by analyzing the company’s enabling conditions for knowledge creation and the integration with the SECI (socialization, externalization, combination, internalization) process, in which we identify how the company manages to cope with knowledge creation and sharing as a strategic resource for the product innovation activities of marketing and R&D project teams, thereby aiming to portray features of the organizational knowledge as a strategic resource and its use dimensions in the product development process. The results pointed to advances in the efforts for the dissemination of knowledge by the top management of the company; however, it also shows that some team integration is missing, so that knowledge is shared due to the working structure rather than for individual or collective initiatives, which leads us to conclude that the strategic objectives and efforts of the organization to extend the reach the generated knowledge within the business does not reflect completely in the reality of the working groups.

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Ki-Nam Park. "Policy Decision Support using SECI Model: A focus on the Activation Policy of Conventional Markets." Journal of Social Science 34, no. 3 (December 2008): 123–49. http://dx.doi.org/10.15820/khjss.2008.34.3.006.

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