Towards a strategy for sense-making of empirical knowledge management perceptions - the TFL methodology

2003 ◽  
Author(s):  
D.Y.F. Law ◽  
J.O. Lee-Partridge
Keyword(s):  
Knowledge Management ◽  
Sense Making ◽  
Empirical Knowledge

scholarly journals Perancangan Aplikasi Knowledge Management di Instansi Kearsipan Berbasis Model Choo-Sense Making

2021 ◽  
Vol 8 (1) ◽  
pp. 15
Author(s):  
Eko Nur Hermansyah ◽  
Danny Manongga ◽  
Ade Iriani
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Data Analysis ◽  
Storage System ◽  
Knowledge Dissemination ◽  
Management Model ◽  
Sense Making ◽  
Making Sense ◽  
Data Collecting ◽  
Space Result

<p align="center"><strong>Abstrak</strong></p><p>Intansi Kearsipan memiliki berbagai pengetahuan yang digunakan untuk pengelolaan arsip yang dimilikinya, <em>knowledge management</em> digunakan untuk mengumpulkan, mengelola, dan menyebarluaskan pengetahuan yang dimiliki, sehingga pengetahuan yang dimiliki oleh instansi kearsipan dapat digunakan untuk kemajuan intansi dan tidak hilang. Penelitian ini dilakukan di Dinas Perpustakaan dan Kearsipan Kota Salatiga. Pengumpulan data dilakukan dengan wawancara petugas kearsipan untuk mengumpulkan data tentang pengetahuan yang dimiliki dan cara penyimpanan serta penyebarluasan yang diterapkan di intansi kearsipan. Analisis data dilakukan dengan mengelompokkan pengetahuan yang dimiliki oleh intansi kearsipan sesuai dengan model <em>Choo-Sense Making</em>, untuk kemudian diterapkan di <em>Confluence</em> sesuai dengan hasil dari pengolahan data dengan model <em>Choo-Sense Making</em>. Hasil dari penelitian ini untuk model <em>Choo-Sense Making</em> pengetahuan di intansi kearsipan dibagi atas 3 tahap yaitu <em>Sense Making</em> yang berisi tentang pengetahuan yang berasal dari luar intansi dibuatkan wadah sebagai media diskusi, <em>chatting,</em> <em>Knowledge Creating</em> berisi tentang pengetahuan-pengetahuan yang dimiliki intansi kearsipan yang telah di dokumentasikan diubah dalam betuk <em>softfile</em> kemudian diunggah kedalam <em>space</em> untuk memudahkan penyimpanan serta penyebarluasan pengetahuan yang dimiliki, dan <em>Decision Making</em> yang berisi tentang jadwal-jadwal intansi dan evaluasi yang dilakukan intansi kearsipan. Hasil dari model <em>Choo-Sense Making</em> dimasukan ke <em>Confluence</em>, memperoleh hasil <em>space</em> yang dapat memudahkan menyimpan pengetahuan yang dimiliki berupa file aplikasi, <em>softfile</em>, serta memudahkan dalam pencarian kembali dan penyerluasan pengetahuan yang dimiliki. Penerapan <em>Choo-Sense Making</em> selain untuk mempermudah penyimpanan dan penyerbaluasan serta komunikasi, dapat mengurangi resiko kehilangan pengetahuan yang dimiliki oleh intansi kearsipan.<strong> </strong></p><p><strong>Kata kunci<em>: </em></strong><em>Knowledge Management, Model Choo-Sense Making, Confluence</em>, Perpustakaan dan Arsip</p><p align="center"><em>Abstract</em></p><p><em>Archival Agency has several knowledge that are used to manage the owned archive, knowledge management is used to collect, manage and disseminate the owned knowledge so that the knowledge that the archival agency has can be used for the agency progress and it will not missing. The research is conducted in Dinas Perpustakaan dan Kearsipan Kota Salatiga. Data collecting is conducted by interviewing the archival officer to gather data related to its knowledge, the storage system and dissemination applied in this archival agency. Data analysis is conducted by categorizing the agency knowledge according to Choo-Sense Making model and then it is applied in Confluence in accordance with the result of the data analysis from the Choo-Sense Making model. The result of this research, for Choo-Sense Making model, the knowledge in the archival agency is divided into 3 steps; Sense Making, Knowledge Creating and Decision Making. Sense Making contains knowledge coming from the outside of the agency that has forum as discussion media, chatting. Knowledge Creating contains knowledge that owned by the archival agency that has been documented and changed in the form of softfile then uploaded into space to ease the storage and the knowledge dissemination. Decision Making is about agency schedules and evaluation toward the activity in this archival agency. The result of Choo-Sense Making Model is input into Confluence, get space result that ease to save the knowledge in the form of application file, softfile, and ease to search and disseminate the owned knowledge. The application of Choo-Sense Making eases the storage system, dissemination, and communication. It also reduces the risk of losing knowledge owned by the archival agency.</em></p><p><em> </em></p><p><strong>Keywords</strong>: <em>Knowledge Management, Model Choo-Sense Making, Confluence, Library and Archive</em></p>

Applying Sense-Making Methodology to Design Knowledge Management Practices

2010 ◽  
pp. 198-214
Author(s):  
Bonnie Wai-yi Cheuk ◽  
Brenda Dervin
Keyword(s):  
Knowledge Management ◽  
Management Practices ◽  
User Study ◽  
Design Knowledge ◽  
Sense Making ◽  
Web Based ◽  
Company Limited ◽  
Alternative Procedures ◽  
Knowledge Management Practices ◽  
Scottish Government

This chapter introduces readers to Dervin’s Sense-Making Methodology (SMM) and demonstrates how it has been applied to design knowledge management projects for the public sector. The projects described in this chapter were implemented between November 2005 to June 2006 when the main author was the Head of Knowledge Management for the Improvement Service for the Scottish Government, a company limited by guarantee with a budget provided by the Scottish Executive, with the aim to improve the efficiency, quality and accountability of public services in Scotland through learning, sharing knowledge and delivering improvement solutions. Sense-Making Methodology is based on a set of assumptions which challenge some fundamental knowledge management thinking. The SMM assumptions imply the need for alternative procedures to be implemented to promote knowledge sharing. Three primary applications are discussed: (a) conducting user study to understand user needs; (b) designing web-based KM systems; and (c) facilitating dialogue to nurture communities of practice. This chapter aims at stimulating further thinking and debate in adopting theoretically informed approaches to implement knowledge management practices.

Ontology-Based Knowledge Capture and Sharing in Enterprise Organisations

2011 ◽  
pp. 200-225
Author(s):  
Aba-Sah Dadzie ◽  
Victoria Uren ◽  
Fabio Ciravegna
Keyword(s):  
Knowledge Management ◽  
Semantic Web ◽  
Semantic Knowledge ◽  
Sense Making ◽  
Knowledge Capture ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Rich Domain ◽  
User Acceptability ◽  
Knowledge Lifecycle

Despite years of effort in building organisational taxonomies, the potential of ontologies to support knowledge management in complex technical domains is under-exploited. The authors of this chapter present an approach to using rich domain ontologies to support sense-making tasks associated with resolving mechanical issues. Using Semantic Web technologies, the authors have built a framework and a suite of tools which support the whole semantic knowledge lifecycle. These are presented by describing the process of issue resolution for a simulated investigation concerning failure of bicycle brakes. Foci of the work have included ensuring that semantic tasks fit in with users’ everyday tasks, to achieve user acceptability and support the flexibility required by communities of practice with differing local sub-domains, tasks, and terminology.

Sense-Making View of Knowledge Management: Theoretical Development and Empirical Validation

2011 ◽  
Vol 10 (01) ◽  
pp. 37-49 ◽  
Author(s):  
Dong Kyoon Yoo
Keyword(s):  
Knowledge Management ◽  
Information Processing ◽  
Perspective Taking ◽  
Structural Equation ◽  
Interdisciplinary Teams ◽  
Theoretical Development ◽  
Equation Modeling ◽  
Sense Making ◽  
Research Model

The dynamics of knowledge management (KM) have evolved from the information-processing view of KM to the sense-making view of KM. The information-processing view of KM has been prevalent in the slow-paced, predicable environment. The sense-making view of KM, on the other hand, emerges in the environment where the fast, unpredictable pace of change is salient. Despite its significant and growing importance, there is a limited and fragmented understanding of the sense-making view of KM. This study addresses the issue of how the sense-making view of KM can be embodied by presenting and testing a research model. Data collected from 208 interdisciplinary teams were used to examine the research model by structural equation modeling. Results indicate that cognitive empowerment has a significant impact on perspective taking. Trust and media richness are critical determinants of cognitive empowerment. This study provides important insights of the role of cognition and behaviour in building the sense-making view of KM.

scholarly journals Sense-Making/Sensemaking

Communication ◽  
2016 ◽  
Author(s):  
Christine Urquhart ◽  
Louisa Mei Chun Lam ◽  
Bonnie Cheuk ◽  
Brenda L. Dervin
Keyword(s):  
Knowledge Management ◽  
Systems Engineering ◽  
Information Science ◽  
Information Behavior ◽  
Engineering Application ◽  
Sense Making ◽  
Cognitive Systems ◽  
Cognitive Systems Engineering ◽  
Management Communication ◽  
Human Information Behavior

Sense-making/sensemaking are terms commonly understood as the processes through which people interpret and give meaning to their experiences. The three different spelling variations (i.e., sense-making, sensemaking, sense making) are used deliberately by the authors included here, in different academic discourse communities that share some common thrusts. The terms originally focused on the five senses but have expanded in meaning to cover physical, emotional, spiritual, and intuitional responses posited as involved in human sense-makings of their worlds, both internal and external. Since the 1970s, sense-making/sensemaking has been used by researchers from different disciplinary backgrounds, with significant applications in the fields of human-computer interaction (HCI), cognitive systems engineering, knowledge management, communication studies, and library/information science (human information behavior). At the highest level of abstraction, the differences in the underlying theories used by researchers can best be understood in tensions between cognitivist and constructivist strands and the focus on either a micro or macro framework. As the different streams of attention differ in so many ways (e.g., context, informants, methods, intended audiences, etc.), comparisons are difficult. It is necessary to understand the historical origins, philosophical assumptions, and methodological roots of five major research approaches labeled as sense-making or sensemaking: Dervin’s sense-making in user studies, human information behavior; Weick’s sensemaking in organizational communication; Snowden’s organizational sense-making in knowledge management; Russell’s sensemaking in HCI; and Klein’s sensemaking in cognitive systems engineering. Applications of the approaches, emerging perspectives, and uses are reviewed. Applications increasingly merge some sense-making/sensemaking ideas together or use sense-making/sensemaking with other theories (e.g., Brenda Dervin: Sense-Making Methodology: Methodology, Daniel Russell: Sensemaking and Searching: Philosophy and Methodology, Gary Klein: Sensemaking in Cognitive Systems Engineering: Application).

scholarly journals Perancangan Aplikasi Knowledge Management di Instansi Kearsipan Berbasis Model Choo-Sense Making

2021 ◽  
Vol 8 (1) ◽  
pp. 15
Author(s):  
Eko Nur Hermansyah ◽  
Danny Manongga ◽  
Ade Iriani
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Data Analysis ◽  
Storage System ◽  
Knowledge Dissemination ◽  
Management Model ◽  
Sense Making ◽  
Making Sense ◽  
Data Collecting ◽  
Space Result

<p align="center"><strong>Abstrak</strong></p><p>Intansi Kearsipan memiliki berbagai pengetahuan yang digunakan untuk pengelolaan arsip yang dimilikinya, <em>knowledge management</em> digunakan untuk mengumpulkan, mengelola, dan menyebarluaskan pengetahuan yang dimiliki, sehingga pengetahuan yang dimiliki oleh instansi kearsipan dapat digunakan untuk kemajuan intansi dan tidak hilang. Penelitian ini dilakukan di Dinas Perpustakaan dan Kearsipan Kota Salatiga. Pengumpulan data dilakukan dengan wawancara petugas kearsipan untuk mengumpulkan data tentang pengetahuan yang dimiliki dan cara penyimpanan serta penyebarluasan yang diterapkan di intansi kearsipan. Analisis data dilakukan dengan mengelompokkan pengetahuan yang dimiliki oleh intansi kearsipan sesuai dengan model <em>Choo-Sense Making</em>, untuk kemudian diterapkan di <em>Confluence</em> sesuai dengan hasil dari pengolahan data dengan model <em>Choo-Sense Making</em>. Hasil dari penelitian ini untuk model <em>Choo-Sense Making</em> pengetahuan di intansi kearsipan dibagi atas 3 tahap yaitu <em>Sense Making</em> yang berisi tentang pengetahuan yang berasal dari luar intansi dibuatkan wadah sebagai media diskusi, <em>chatting,</em> <em>Knowledge Creating</em> berisi tentang pengetahuan-pengetahuan yang dimiliki intansi kearsipan yang telah di dokumentasikan diubah dalam betuk <em>softfile</em> kemudian diunggah kedalam <em>space</em> untuk memudahkan penyimpanan serta penyebarluasan pengetahuan yang dimiliki, dan <em>Decision Making</em> yang berisi tentang jadwal-jadwal intansi dan evaluasi yang dilakukan intansi kearsipan. Hasil dari model <em>Choo-Sense Making</em> dimasukan ke <em>Confluence</em>, memperoleh hasil <em>space</em> yang dapat memudahkan menyimpan pengetahuan yang dimiliki berupa file aplikasi, <em>softfile</em>, serta memudahkan dalam pencarian kembali dan penyerluasan pengetahuan yang dimiliki. Penerapan <em>Choo-Sense Making</em> selain untuk mempermudah penyimpanan dan penyerbaluasan serta komunikasi, dapat mengurangi resiko kehilangan pengetahuan yang dimiliki oleh intansi kearsipan.<strong> </strong></p><p><strong>Kata kunci<em>: </em></strong><em>Knowledge Management, Model Choo-Sense Making, Confluence</em>, Perpustakaan dan Arsip</p><p align="center"><em>Abstract</em></p><p><em>Archival Agency has several knowledge that are used to manage the owned archive, knowledge management is used to collect, manage and disseminate the owned knowledge so that the knowledge that the archival agency has can be used for the agency progress and it will not missing. The research is conducted in Dinas Perpustakaan dan Kearsipan Kota Salatiga. Data collecting is conducted by interviewing the archival officer to gather data related to its knowledge, the storage system and dissemination applied in this archival agency. Data analysis is conducted by categorizing the agency knowledge according to Choo-Sense Making model and then it is applied in Confluence in accordance with the result of the data analysis from the Choo-Sense Making model. The result of this research, for Choo-Sense Making model, the knowledge in the archival agency is divided into 3 steps; Sense Making, Knowledge Creating and Decision Making. Sense Making contains knowledge coming from the outside of the agency that has forum as discussion media, chatting. Knowledge Creating contains knowledge that owned by the archival agency that has been documented and changed in the form of softfile then uploaded into space to ease the storage and the knowledge dissemination. Decision Making is about agency schedules and evaluation toward the activity in this archival agency. The result of Choo-Sense Making Model is input into Confluence, get space result that ease to save the knowledge in the form of application file, softfile, and ease to search and disseminate the owned knowledge. The application of Choo-Sense Making eases the storage system, dissemination, and communication. It also reduces the risk of losing knowledge owned by the archival agency.</em></p><p><em> </em></p><p><strong>Keywords</strong>: <em>Knowledge Management, Model Choo-Sense Making, Confluence, Library and Archive</em></p>

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