Analysing and classifying knowledge management publications – a proposed classification scheme

2018 ◽  
Vol 22 (7) ◽  
pp. 1527-1554 ◽  
Author(s):  
Nora Fteimi ◽  
Franz Lehner
Keyword(s):  
Knowledge Management ◽  
Content Analysis ◽  
Classification Scheme ◽  
Content Type ◽  
Levels Of Detail ◽  
Research Activities ◽  
Starting Point ◽  
Number Of Publications ◽  
Research Domains ◽  
Taxonomy Development

Purpose The growing number of publications on knowledge management (KM) has addressed heterogeneous topics that lack integration and classification. This article closes the classification gap by presenting a classification scheme, providing an integrated overview of KM publications. Design/methodology/approach The development of the classification scheme follows a multistep approach. By applying a taxonomy development method, the results of a previous content analysis of 4,290 publications were processed to integrate 3,780 keywords into a classification scheme. Findings The classification scheme consists of 13 main categories and subcategories with six levels of detail. The scheme covers not only KM-specific keywords but also keywords from related disciplines, indicating a strong interdependence with related research domains. Research limitations/implications The scheme provides a starting point for ongoing collaboration within the KM community with the aim of improving the classification results and refining the scheme to manifest the core identity. Practical implications The scheme is helpful in understanding whether KM implementation activities in organisations are aligned with overall research activities and topics covered by publications. Originality/value Developing a scheme based on a prior content analysis turns out to be a unique and innovative approach that has never before been done in the KM domain.

Digital competences of the workforce – a research topic?

2017 ◽  
Vol 23 (3) ◽  
pp. 721-734 ◽  
Author(s):  
Matthias Murawski ◽  
Markus Bick
Keyword(s):  
Research Topic ◽  
Future Research ◽  
Digital Competence ◽  
Content Type ◽  
Research Activities ◽  
Starting Point ◽  
Pros And Cons ◽  
Definition Of ◽  
The Individual ◽  
Practical Implications

Purpose Considering working in the digital age, questions on the consequences for the individual workers are, so far, often neglected. The purpose of this paper is to deal with the question of whether the digital competences of the workforce is a research topic. The authors argue for the thesis that it is indeed a research topic. Design/methodology/approach In addition to a literature analysis of the top IS, HR, and learning publications, non-scientific sources, as well as the opinions of the authors, are included. The authors’ thesis is challenged through a debate of corresponding pros and cons. Findings The definition of digital competences lacks scientific depth. Focussing on the workforce is valid, as a “lifelong” perspective is not mandatory for research. Digital competence research is a multidisciplinary task to which the IS field can make a valuable contribution. Research limitations/implications Although relevant references are included, some aspects are mainly driven by the opinions of the authors. The theoretical implications encompass a call for a scientific definition of digital competences. Furthermore, scholars should focus on the competences of the workforce, including occupations, roles, or industries. The authors conclude by providing a first proposal of a research agenda. Practical implications The practical implications include the alignment of multiple stakeholders for the design of “digital” curricula and the integration by HR departments of the construct of digital competences, e.g. for compensation matters and job requirements. Originality/value This paper is one of very few contributions in the area of the digital competences of the workforce, and it presents a starting point for future research activities.

Business process model patterns: state-of-the-art, research classification and taxonomy

2019 ◽  
Vol 25 (5) ◽  
pp. 972-994 ◽  
Author(s):  
Michael Fellmann ◽  
Agnes Koschmider ◽  
Ralf Laue ◽  
Andreas Schoknecht ◽  
Arthur Vetter
Keyword(s):  
Business Process ◽  
Process Model ◽  
Pattern Language ◽  
Future Research ◽  
Business Process Model ◽  
Content Type ◽  
Research Activities ◽  
Starting Point ◽  
Research Classification

Purpose Patterns have proven to be useful for documenting general reusable solutions to a commonly occurring problem. In recent years, several different business process management (BPM)-related patterns have been published. Despite the large number of publications on this subject, there is no work that provides a comprehensive overview and categorization of the published business process model patterns. The purpose of this paper is to close this gap by providing a taxonomy of patterns as well as a classification of 89 research works. Design/methodology/approach The authors analyzed 280 research articles following a structured iterative procedure inspired by the method for taxonomy development from Nickerson et al. (2013). Using deductive and inductive reasoning processes embedded in concurrent as well as joint research activities, the authors created a taxonomy of patterns as well as a classification of 89 research works. Findings In general, the findings extend the current understanding of BPM patterns. The authors identify pattern categories that are highly populated with research works as well as categories that have received far less attention such as risk and security, the ecological perspective and process architecture. Further, the analysis shows that there is not yet an overarching pattern language for business process model patterns. The insights can be used as starting point for developing such a pattern language. Originality/value Up to now, no comprehensive pattern taxonomy and research classification exists. The taxonomy and classification are useful for searching pattern works which is also supported by an accompanying website complementing the work. In regard to future research and publications on patterns, the authors derive recommendations regarding the content and structure of pattern publications.

Twenty years of the Journal of Knowledge Management: a bibliometric analysis

2018 ◽  
Vol 22 (8) ◽  
pp. 1655-1687 ◽  
Author(s):  
Magaly Gaviria-Marin ◽  
Jose M. Merigo ◽  
Simona Popa
Keyword(s):  
Knowledge Management ◽  
Performance Analysis ◽  
Bibliometric Analysis ◽  
Historical Record ◽  
Content Type ◽  
The Usa ◽  
20Th Anniversary ◽  
Number Of Publications ◽  
The Uk ◽  
Positive Evolution

Purpose In 2017, the Journal of Knowledge Management (JKM) celebrates its 20th anniversary. This study aims to show an updated analysis of their publications to provide a general overview of the journal, focusing on a bibliometric analysis of its publications between 1997 and 2016. Design/methodology/approach The methodology involves two procedures: a performance analysis and a science mapping analysis of JKM. The performance analysis uses a series of bibliometric indicators such as h-index, productivity and citations. This analysis considers different dimensions, including papers, authors, universities and countries. VOSviewer software is used to carry out the mapping of science of JKM, which, based on the concurrence of key words and co-citation points of view, seeks to graphically analyze the structure of the references of this journal. Findings There is a positive evolution in the number of publications (although with certain oscillations), which shows a growing interest in publishing in JKM. The USA and the UK lead the publications in this journal, although at a regional level, Europe is the most productive. The low participation of emerging economies in JKM is also observed. Practical implications The paper will identify the leading trends in the journal in terms of papers, authors, institutions, countries, journals and keywords. This study is useful for obtaining a quick snapshot of what is happening in the journal. Originality/value From the historical record of JKM publications, this study presents an exclusive bibliometric analysis of its publications until 2016 and identifies its main trends.

scholarly journals Knowledge management activities in social enterprises: lessons for small and non-profit firms

2017 ◽  
Vol 21 (2) ◽  
pp. 376-396 ◽  
Author(s):  
Maria L. Granados ◽  
Souad Mohamed ◽  
Vlatka Hlupic
Keyword(s):  
Knowledge Management ◽  
Empirical Studies ◽  
Economic Value ◽  
Social Enterprises ◽  
Content Type ◽  
Non Profit ◽  
Starting Point ◽  
The Creation ◽  
Social Environmental ◽  
The Uk

Purpose This paper aims to explore what social enterprises (SEs) in the UK know and how they acquire, convert, apply and protect this knowledge. This will enable them to manage their knowledge effectively and, hence, improve their practices and maximise the creation of social, environmental and economic value. Design/methodology/approach This study follows a qualitative approach, comprising 21 interviews with founders and senior members of SEs in the UK. Findings The results show that the investigated SEs have knowledge management (KM) practices similar to the already identified in SMEs, associated with informality, reliance on external sources and focus on socialisation activities, but they have unique challenges on managing their knowledge related to their hybrid mission, to include social and economic objectives and their closed relationship with stakeholders. Research limitations/implications As there is limited research on KM practices in SEs; they were defined based on previous studies in large, private and public companies. Therefore, not all practices may be included. This research is a starting point in the study of KM in SEs. Practical implications This study identifies knowledge activities that enable the creation of social, environmental and economic value in SEs. This allows SEs, small firms and non-profit organisations to review their current practices and develop plans for their further improvement. Originality/value This paper is one of the first empirical studies exploring KM practices in SEs, highlighting their informal nature as well as their impact in and on the enterprise.

Engagement-oriented design: a study of New Zealand public cultural heritage institutions crowdsourcing platforms

2020 ◽  
Vol 44 (4) ◽  
pp. 887-912
Author(s):  
Elizabeth Johnson ◽  
Chern Li Liew
Keyword(s):  
Content Analysis ◽  
New Zealand ◽  
Cultural Heritage ◽  
Case Studies ◽  
Future Research ◽  
User Interest ◽  
Content Type ◽  
Design Elements ◽  
Design Recommendations ◽  
Starting Point

PurposeThe purpose of this study is to propose a set of design recommendations for crowdsourcing platforms with a focus on user engagement. A sample of New Zealand (NZ) cultural heritage institutions (CHIs) crowdsourcing platforms were assessed, with the aim of offering insights into how they have been designed to encourage dialogue and engagement and to sustain participation.Design/methodology/approachThe design recommendations were derived from a review of related works. Following this, 12 crowdsourcing projects overseen by libraries, museums and an archive in NZ were assessed against the recommendations through content analysis.FindingsThe recommendations were classified into four main categories. These were promote ease of use, attract and sustain user interest, foster a community of users and show users that their work is contributing to the institution and society. The findings indicated that the sample of crowdsourcing projects assessed were generally successful at displaying the credibility and significance of their projects, and promoting their crowdsourced collections. Many of the projects could nevertheless benefit from providing further support to promoting dialogues and engagement with their users and contributors and sustaining offline community interaction.Research limitations/implicationsThe content analysis conducted was focused on the functionality of design elements of the crowdsourcing platforms. The design recommendations derived from the analysis were intended as a starting point for discussion and they would need to be validated in further studies. Other relevant project information such as funding and staffing, promotion and outreach efforts were not solicited in this study. Such information could provide important contextualisation. Future research could take the form of in-depth case studies, including surveying those involved in the projects and stakeholders to investigate such contextual aspects of crowdsourcing projects.Originality/valuePrevious research on crowdsourcing in NZ CHIs consisted of single case studies. This study provides a wider snapshot and insights into digital crowdsourcing platforms from public NZ CHIs. The study findings have practical implications for project managers and Web designers involved in crowdsourcing projects, particularly those in the cultural heritage sector.

Typologies and touchpoints: designing multi-channel digital strategies

2015 ◽  
Vol 9 (2) ◽  
pp. 110-128 ◽  
Author(s):  
Karla Straker ◽  
Cara Wrigley ◽  
Michael Rosemann
Keyword(s):  
Content Analysis ◽  
New Technologies ◽  
Channel Model ◽  
Research Question ◽  
Channel Design ◽  
Content Type ◽  
Customer Needs ◽  
Starting Point ◽  
Wide Range ◽  
Digital Channels

Purpose – This study aims to gain a clearer understanding of digital channel design. The emergence of new technologies has revolutionised the way companies interact and engage with customers. The driver for this research was the suggestion that practitioners feel they do not possess the skills to understand and exploit new digital channel opportunities. To gain a clearer understanding of digital channel design, this paper addresses the research question: What digital channels do companies from a wide range of industries and sectors use? Design/methodology/approach – A content analysis of 100 international companies was conducted with multiple data sources to form a typology of digital “touchpoints”. The appropriateness of a digital channel typology for this study was for developing rigorous and useful concepts for clarifying and refining the meaning of digital channels. Findings – This study identifies what digital channels companies globally currently employ and explores the related needs across industries. A total of 34 digital touchpoints and 4 typologies of digital channels were identified across 16 industries. This research helps to identify the relationship between digital channels and enabling the connections with industry. Research limitations/implications – The findings contribute to the growing research area of digital channels. The typology of digital channels is a useful starting point for developing a systematic, theory-based study for enabling the development of broader, comprehensive theories of digital channels. Practical implications – Typologies and touchpoints are outlined in relation to industry, company objectives and customer needs to allow businesses to seize opportunities and optimise performance through individual touchpoints. A digital channel model as a key outcome of this research guides practitioners on what touchpoint to implement through an interrelated understanding of industry, company and customer needs. Originality/value – This is the first paper to explore a range of industries in relation to their use of digital channels using a unique content analysis. Contributions include clarifying and refining digital channel meaning; identifying and refining the hierarchical relations among digital channels (typologies); and establishing typology and industry relationship model.

Mapping the field of knowledge management: a bibliometric analysis using R

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rayees Farooq
Keyword(s):  
Knowledge Management ◽  
Bibliometric Analysis ◽  
Digital Libraries ◽  
Analytical Techniques ◽  
R Package ◽  
Scientific Publications ◽  
Content Type ◽  
Number Of Publications ◽  
New Research ◽  
Over Time

Purpose The purpose of this study is to offer the bibliometric analysis of the Journal of Knowledge Management (JKM) to understand how the literature has developed over time. Design/methodology/approach This study used bibliometric approaches to analyze a sample of 669 studies from 1997 to 2021. This study focused on performance analysis and scientific mapping of articles using the R package. Findings The results indicate that the number of publications during the period has significantly increased which shows a growing interest of researchers in the JKM. This study highlights new emerging themes such as change management, change readiness, product innovation and digital libraries which uncover exciting avenues for new research opportunities. USA and UK were the most productive countries in terms of the number of citations followed by few European countries including Spain, Finland, Germany and Sweden. However, it is worth noting that India was the most productive country in the emerging economies. Practical implications This study will act as a guide for researchers of various fields to evaluate the development of scientific publications in a particular theme over time, especially for those who are in the field of knowledge management (KM). Originality/value This study aims to accomplish the systematic bibliometric analysis of the JKM for more than two decades, providing useful insights into the key developments in the field of KM. This study is more rigorous and comprehensive in terms of the analytical techniques used.

The research landscape of big data: a bibliometric analysis

2019 ◽  
Vol 38 (2) ◽  
pp. 367-384
Author(s):  
Xiaohong Liu ◽  
Ruiqing Sun ◽  
Shiyun Wang ◽  
Yenchun Jim Wu
Keyword(s):  
Big Data ◽  
Citation Impact ◽  
Bibliometric Method ◽  
Holistic View ◽  
Content Type ◽  
Business Applications ◽  
Rate Of Increase ◽  
Number Of Publications ◽  
Immense Potential ◽  
Research Domains

Purpose In recent years, the rapid growth of big data has presented immense potential for business applications as well as raised great interest from academia. In response to this emerging phenomenon, the purpose of this paper is to provide a comprehensive literature review of big data. Design/methodology/approach A bibliometric method was used to analyze the articles obtained from the Scopus database published between 2013 and 2018. A sample size of 4,070 articles was evaluated using SciVal metrics. Findings The analysis revealed an array of interesting findings as follows: the number of publications related to big data increased steadily over the past six years, though the rate of increase has slowed since 2014; the scope of big data research is quite broad in regards to both research domains and countries; despite a large volume of publications, the overall performance of big data research is not well presented as measured by the field-weighted citation impact metric; collaboration between different institutions, particularly in the form of international collaboration and academic–corporate collaboration, has played an important role in improving the performance of big data research. Originality/value To the best of the authors’ knowledge, this is the first study to provide a holistic view of the big data research. The insights obtained from the analysis are instrumental for both academics and practitioners.

Keeping up with growing complexity of managing global operations

2018 ◽  
Vol 38 (2) ◽  
pp. 390-402 ◽  
Author(s):  
Kasra Ferdows
Keyword(s):  
Operations Management ◽  
Production Networks ◽  
Global Production Networks ◽  
Sensitive Data ◽  
Dynamic Complexity ◽  
Content Type ◽  
Levels Of Detail ◽  
Simplifying Assumptions ◽  
Number Of Publications ◽  
Global Operations

Purpose The purpose of this paper is to argue that operations management (OM) scholars ought to be among the thought leaders in research into the design and management of global production networks, but too few of them currently are. It suggests possible reasons for what is holding them back and calls for ideas for removing the obstacles. Design/methodology/approach This paper is a viewpoint. Nevertheless, it reports results of an indicative survey and uses example cases to illustrate and support its arguments. Findings The survey confirms the conclusions from previous studies that the number of publications specifically in leading OM journals focusing on management of global operations is small. Relatively high levels of detail and dynamic complexity and hysteresis of variables affecting the management of global operations are identified as the major hurdles. Applying analytical modeling, a popular research methodology among OM scholars, may be of limited use as it mandates making too many simplifying assumptions. Empirical research is also difficult because it is time consuming and requires access to often sensitive data and may require longitudinal studies. These are tough problems with no clear solutions. Originality/value The paper urges OM scholars to take on the broad and strategic problems in management of global operations. That would not only change how the OM discipline is viewed, but it would also benefit the firm, the economy, and the society.

Challenges of knowledge management in the public sector: evidence from the King Abdullah Award for Excellence in Jordan

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shaker A. Aladwan ◽  
Tamara A. AL-Yakoub ◽  
Ali M. Adaileh
Keyword(s):  
Knowledge Management ◽  
Content Analysis ◽  
Public Sector ◽  
Conceptual Model ◽  
Qualitative Method ◽  
Structured Interviews ◽  
Organisational Memory ◽  
Content Type ◽  
The Public ◽  
Clear Vision

PurposeThe aim of this paper is to undertake an exploration of the challenges related to knowledge management (KM) within public sector organisations in Jordan.Design/methodology/approachThere was the adoption of a qualitative method to achieve the objective of the study, with content analysis undertaken on ten assessment reports, so the results of the content analysis could be validated. A total of 20 semi-structured interviews were conducted within the sample organisations. The sample was made up of ten public sector organisations that had participated at least twice within the King Abdullah Excellence Award with acknowledgement within their reports of failure to achieve results that were satisfactory for KM.FindingsKM challenges identified reflect various aspects of different factors, such as organisational structure, culture, KM processes and the evaluation of KM. In practical terms, the main KM-related challenges for the Jordanian public sector are considered to be a lack of a culture of teamwork to support sharing and exchange of knowledge, lack of required documentation for the building of organisational memory needed for processes of KM, lack of training for KM, lack of clear vision and strategy for KM and lack of proper methodologies for the management of internal knowledge and weaknesses in the integration of information and data.Originality/valueThe study puts forward a conceptual model that can be used in assessing the challenges that managers face when they seek to implement KM in organisations within the public sector. The challenges of KM within the public sector have been studied widely, in general; however there is an importance to gaining better understanding of how to overcome those challenges. Compared with most of the existent studies, this particular research has offered detailed, specific insights into challenges for KM within the public sector, along with provision of a conceptual model that other researchers could use in the future.

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