The concepts of big data applied in personal knowledge management

2017 ◽  
Vol 21 (1) ◽  
pp. 213-230 ◽  
Author(s):  
Che-Hung Liu ◽  
Jen Sheng Wang ◽  
Ching-Wei Lin
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Data Storage ◽  
Behavior Management ◽  
Health Management ◽  
Computer Usage ◽  
Personal Knowledge ◽  
Content Type ◽  
Personal Knowledge Management ◽  
The Impact

Purpose The purpose of this paper is to demonstrate the applications of big data in personal knowledge management (PKM). Design/methodology/approach Five conventional knowledge management dimensions, namely, the value of data, data collection, data storage, data application and data presentation, were applied for integrating big data in the context of PKM. Findings This study concludes that time management, computer usage efficiency management, mobile device usage behavior management, health management and browser surfing management are areas where big data can be applied to PKM. Originality/value While the literature discusses PKM without considering the impact of big data, this paper aims to extend existing knowledge by demonstrating the application of big data in PKM.

Personal knowledge management and enactment of personal knowledge infrastructures as shadow IT

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Hossein Jarrahi ◽  
Rebecca Reynolds ◽  
Ali Eshraghi
Keyword(s):  
Knowledge Management ◽  
Knowledge Workers ◽  
Organizational Level ◽  
Personal Knowledge ◽  
Content Type ◽  
Organizational Contexts ◽  
Personal Knowledge Management ◽  
Consulting Firms ◽  
Individual Knowledge ◽  
Knowledge Intensive

Purpose Personal knowledge management (KM) lends new emphasis to ways through which individual knowledge workers engage with knowledge in organizational contexts. This paper aims to go beyond an organizational approach to KM to examine key personal KM and knowledge building (KB) practices among adult professionals. Design/methodology/approach This paper presents a summary of the findings from interviews with 58 consultants from 17 managing consulting firms. Participants were selected based on their knowledge-intensive roles and their willingness to share information about their knowledge practices. Data analysis was inductive and revealed multiple personal KM activities common among research participants, and the way these are supported by informal ties and various technologies. Findings This work highlights ways in which “shadow information technology” undergirds personal knowledge infrastructures and supports KM and KB practices in the context of management consulting firms. The results uncover how personal knowledge infrastructures emerge from personal KM and KB practices, and the role of informal social networks as well as social media in supporting personal KM and KB. Research limitations/implications This study contributes an overall conceptual model of factors that help knowledge workers build a personal knowledge infrastructure. By affording an understanding of socially embedded personal KM activities, this work helps organizations create a balance between KM strategies at the organizational level and personal knowledge goals of individual workers. Originality/value Much of the previous research on KM adopts organizational approaches to KM, accentuating how organizations can effectively capture, organize and distribute organizational knowledge (primarily through KM systems).

scholarly journals Personal Knowledge Management: An Analysis of Benefits and Challenges of Using  Web 2.0 Technologies at the Individual Level

2021 ◽  
Author(s):  
◽  
Rouhollah Fathizargaran
Keyword(s):  
Knowledge Management ◽  
Software Engineering ◽  
Web 2.0 ◽  
Personal Knowledge ◽  
Web 2.0 Technologies ◽  
Web 2.0 Tools ◽  
Individual Level ◽  
Personal Knowledge Management ◽  
The Individual ◽  
The Impact

<p>This research investigates the benefits and challenges of using Web 2.0 technologies (Wikis, Blogs, Facebook, Twitter, etc.) for personal knowledge management (PKM). It focuses on the challenges and benefits of using these technologies at the individual level to find out how realization of the key benefits and mitigation of challenges can improve personal performance in software engineering companies. This research also investigates the influence of PKM skills proposed by Dorsey (2000) in realising benefits and minimising challenges. Methods of data collection involved semi-structured interviews with three middle level managers and three software developers from four multinational software engineering companies. Qualitative research methods were used for analysing data. To explore benefits and challenges of using Web 2.0 technologies for PKM, a general inductive analysis strategy (Thomas, 2006) was used. This approach helped the researcher to derive concepts and themes which emerged from the raw data. Analysis also drew on and extended Dorsey‟s PKM skill model (2000) to identify which benefits and challenges of using Web 2.0 technologies can be addressed by PKM skills. Results from this study highlighted three important benefits of using Web 2.0 technologies for PKM: improved time saving, improved collaboration, and improved communication across hierarchical barriers. Ease of use of technologies and ease of organising information were found to be enablers of the technologies for effective management of personal knowledge. Results also showed four important challenges of using Web 2.0 tools for PKM: inaccurate and inappropriate information, lack of participation, lack of knowledge about the nature of technologies, and security sensitive. Findings of this study highlighted the importance of PKM skills to realise benefits of Web 2.0 technologies and minimise their challenges. The benefits and challenges of using Web 2.0 technologies have direct impact on individual performances. If employees are aware of these challenges, and have appropriate PKM skills, they will be able to improve their individual performances. The researcher suggests an extension of the Dorsey‟s PKM skill model (2000). Furthermore, in order to enable better understanding about the impact of PKM skills on individual performances using Web 2.0 tools a tentative model is proposed at the end of the study, which needs to be further explored in future studies.</p>

Idiosyncratic job-design practices for cultivating personal knowledge management among knowledge workers in organizations

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Shujahat ◽  
Minhong Wang ◽  
Murad Ali ◽  
Anum Bibi ◽  
Shahid Razzaq ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Lifelong Learning ◽  
Knowledge Workers ◽  
Job Design ◽  
Personal Knowledge ◽  
Job Autonomy ◽  
Content Type ◽  
Design Practices ◽  
Personal Knowledge Management ◽  
Knowledge Intensive

Purpose The high turnover rate of knowledge workers presents a challenge to both organizational and personal knowledge management. Although personal knowledge management plays an important role in organizational knowledge management, empirical research on the practices for its application is underdeveloped. This study aims to examine the role of idiosyncratic job-design practices (i.e. job definition, job autonomy, innovation as a job requirement and lifelong learning orientation) in cultivating personal knowledge management among knowledge workers in organizations, to increase their productivity and safeguard the organization against knowledge loss arising from knowledge workers’ interfirm mobility. Design/methodology/approach Data were collected from 221 knowledge workers pursuing various knowledge-intensive jobs through a questionnaire survey and were analysed using partial least squares modelling. Findings The results demonstrated that three job-design practices (job definition, innovation as a job requirement and lifelong learning orientation) have a positive impact on personal knowledge management among knowledge workers and thus improve their productivity. However, job autonomy can affect personal knowledge management negatively. Research limitations/implications The findings are confined to a specific context and should be replicated across different contexts for better generalizability in future research. Practical implications Organizational managers should pay attention to (re)designing knowledge-intensive jobs to cultivate personal knowledge management by clearly outlining job responsibilities, offering opportunities to add relevant job activities and drop irrelevant ones, and making innovation and lifelong learning a formal job requirement. In addition, job autonomy should be judiciously provided along with sufficient social and network support to avoid lost opportunities in knowledge creation and sharing, and should be linked to job responsibilities and performance appraisals to avoid negative effects. Originality/value The high turnover rate of knowledge workers presents a challenge to both organizational and personal knowledge management. This study contributes to the literature by addressing the research gap in two aspects. Firstly, based on Drucker’s theory, this study identifies four idiosyncratic job-design practices (job definition, job autonomy, innovation as a job requirement and lifelong learning orientation) that reflect the distinctive characteristics of knowledge-intensive work. Secondly, this study examines whether and how these practices can cultivate personal knowledge management among knowledge workers, which can support their productivity.

scholarly journals Facilitating knowledge management through filtered big data: SME competitiveness in an agri-food sector

2017 ◽  
Vol 21 (1) ◽  
pp. 156-179 ◽  
Author(s):  
Christina O’Connor ◽  
Stephen Kelly
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Relevant Information ◽  
Future Research ◽  
Food Sector ◽  
Relationship Dynamics ◽  
Data Set ◽  
Content Type ◽  
The Impact ◽  
Data Consumer

Purpose This paper aims to critique a facilitated knowledge management (KM) process that utilises filtered big data and, specifically, the process effectiveness in overcoming barriers to small and medium-sized enterprises’ (SMEs’) use of big data, the processes enablement of SME engagement with and use of big data and the process effect on SME competitiveness within an agri-food sector. Design/methodology/approach From 300 participant firms, SME owner-managers representing seven longitudinal case studies were contacted by the facilitator at least once-monthly over six months. Findings Results indicate that explicit and tacit knowledge can be enhanced when SMEs have access to a facilitated programme that analyses, packages and explains big data consumer analytics captured by a large pillar firm in a food network. Additionally, big data and knowledge are mutually exclusive unless effective KM processes are implemented. Several barriers to knowledge acquisition and application stem from SME resource limitations, strategic orientation and asymmetrical power relationships within a network. Research limitations/implications By using Dunnhumby data, this study captured the impact of only one form of big data, consumer analytics. However, this is a significant data set for SME agri-food businesses. Additionally, although the SMEs were based in only one UK region, Northern Ireland, there is wide scope for future research across multiple UK regions with the same Dunnhumby data set. Originality/value The study demonstrates the potential relevance of big data to SMEs’ activities and developments, explicitly identifying that realising this potential requires the data to be filtered and presented as market-relevant information that engages SMEs, recognises relationship dynamics and supports learning through feedback and two-way dialogue. This is the first study that empirically analyses filtered big data and SME competitiveness. The examination of relationship dynamics also overcomes existing literature limitations where SMEs’ constraints are seen as the prime factor restricting knowledge transfer.

Supporting the Sustainable Growth of SMEs with Content- and Collaboration-based Personal Knowledge Management Systems

2018 ◽  
Vol 4 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Ulrich Schmitt
Keyword(s):  
Knowledge Management ◽  
Professional Growth ◽  
Firm Growth ◽  
Design Science ◽  
Science Research ◽  
Sustainable Growth ◽  
Personal Knowledge ◽  
Prototype System ◽  
Personal Knowledge Management ◽  
The Impact

Personal knowledge management (PKM) has been envisaged as a decentralising revolution and as the most important educational concern. Its root objective aims for highly knowledgeable individuals acting competently in their daily lives, as part of the workforce, and as public citizens. However, such a promising state of knowledge management (KM) has not emerged yet. Over the past four years, the ongoing development of a PKM concept and prototype system has been accompanied by over 30 multidisciplinary peer-reviewed publications. To verify the undertaking, dedicated articles have applied accepted general design science research (DSR) guidelines aimed at creating innovative IT artefacts (that extend human and social capabilities and meet desired outcomes), at validating design processes (as evidence of their relevance, utility, rigor, resonance and publishability) and at ensuring theory effectiveness (a matter of purposeful utility, content, communication and presentation). Based on the formation of individuals’ autonomous PKM capacities and personal devices nourished by networked creative conversations, the novel PKM approach, on the one hand, aims at advancing lifelong PKM support and academic and professional growth benefiting individuals as contributors and beneficiaries of institutional and societal performance. On the other hand, the scope of anticipated outcomes also offers appealing opportunities for further stakeholders engaged in the context of curation, education, research, development and business. In the latter context, prior papers have looked at the impact for large enterprises in regard to organizational knowledge management (OKM) system generations, the potential of a fruitful OKM–PKM–Co-evolution, and the promises for strengthening organisational capabilities of innovativeness and leadership. The focus of this article shifts to the collaborative and growth-related challenges of small and medium-sized enterprises (SMEs). It pinpoints the entrepreneurial barriers of organisational development, and how the PKM concept and its technological and educational devices are able—as any SME moves through its dynamic stages of growth, predicaments or decline—to guide and rectify the associated tasks and problems. These demands necessitate performing effectively under growing pressures and communicating with rising numbers of internal and external stakeholders, as affirmed in Garnsey’s resource-based notion of new firm growth, Greiner’s evolution–revolution-based stage-growth model, and Levie’s and Lichtenstein’s dynamic states approach to entrepreneurship.

scholarly journals Aplikasi Konsep Personal Knowledge Management (PKM) dengan Social Web

2012 ◽  
Vol 3 (1) ◽  
pp. 374
Author(s):  
Nuril Kusumawardhani Soeprapto Putri
Keyword(s):  
Social Media ◽  
Knowledge Management ◽  
Social Networking ◽  
Social Networking Sites ◽  
Added Value ◽  
Personal Knowledge ◽  
Interaction Patterns ◽  
Literature Study ◽  
Personal Knowledge Management ◽  
The Impact

This study discusses the impact of social media to the development of personal knowledge management (PKM). Here the author describeS the factual condition of the company that useS social media as a means of personal knowledge management. Furthermore, these interaction patterns have significant impact on the organization. The purpose of this article is to analyze the application of personal knowledge managementconcept, combined with the social media concept that focuses on social networks with the consideration that they are widespreadly used by the public. Plus the emergence of social networking sites are increasingly new added value to the development of social media. The method used is literature study obtained from the online journals, articles and text books. The result of this study is expected to expand the use of social networking as a means of personal knowledge management in the organization.

scholarly journals Personal Knowledge Management: An Analysis of Benefits and Challenges of Using  Web 2.0 Technologies at the Individual Level

2021 ◽  
Author(s):  
◽  
Rouhollah Fathizargaran
Keyword(s):  
Knowledge Management ◽  
Software Engineering ◽  
Web 2.0 ◽  
Personal Knowledge ◽  
Web 2.0 Technologies ◽  
Web 2.0 Tools ◽  
Individual Level ◽  
Personal Knowledge Management ◽  
The Individual ◽  
The Impact

<p>This research investigates the benefits and challenges of using Web 2.0 technologies (Wikis, Blogs, Facebook, Twitter, etc.) for personal knowledge management (PKM). It focuses on the challenges and benefits of using these technologies at the individual level to find out how realization of the key benefits and mitigation of challenges can improve personal performance in software engineering companies. This research also investigates the influence of PKM skills proposed by Dorsey (2000) in realising benefits and minimising challenges. Methods of data collection involved semi-structured interviews with three middle level managers and three software developers from four multinational software engineering companies. Qualitative research methods were used for analysing data. To explore benefits and challenges of using Web 2.0 technologies for PKM, a general inductive analysis strategy (Thomas, 2006) was used. This approach helped the researcher to derive concepts and themes which emerged from the raw data. Analysis also drew on and extended Dorsey‟s PKM skill model (2000) to identify which benefits and challenges of using Web 2.0 technologies can be addressed by PKM skills. Results from this study highlighted three important benefits of using Web 2.0 technologies for PKM: improved time saving, improved collaboration, and improved communication across hierarchical barriers. Ease of use of technologies and ease of organising information were found to be enablers of the technologies for effective management of personal knowledge. Results also showed four important challenges of using Web 2.0 tools for PKM: inaccurate and inappropriate information, lack of participation, lack of knowledge about the nature of technologies, and security sensitive. Findings of this study highlighted the importance of PKM skills to realise benefits of Web 2.0 technologies and minimise their challenges. The benefits and challenges of using Web 2.0 technologies have direct impact on individual performances. If employees are aware of these challenges, and have appropriate PKM skills, they will be able to improve their individual performances. The researcher suggests an extension of the Dorsey‟s PKM skill model (2000). Furthermore, in order to enable better understanding about the impact of PKM skills on individual performances using Web 2.0 tools a tentative model is proposed at the end of the study, which needs to be further explored in future studies.</p>

Big data investments in knowledge and non-knowledge intensive firms: what the market tells us

2017 ◽  
Vol 21 (3) ◽  
pp. 623-639 ◽  
Author(s):  
Tingting Zhang ◽  
William Yu Chung Wang ◽  
David J. Pauleen
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Stock Market ◽  
Value Chain ◽  
Stock Prices ◽  
Economic Value ◽  
Information Value ◽  
Publicly Traded ◽  
Content Type ◽  
Knowledge Intensive

Purpose This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not. Design/methodology/approach This study is based on an event study using data from two stock markets in China. Findings The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along. Research limitations/implications This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets. Originality/value Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.

Sign in / Sign up

Export Citation Format

Share Document