The Roles of Knowledge Management and Cooperation in Determining Company Innovation Capability: A Literature Review

10.28945/4739 ◽  
2021 ◽  
Vol 16 ◽  
pp. 125-145
Author(s):  
Elan N Purwanto ◽  
Ernie T Sule ◽  
Imas Soemaryani ◽  
Yudi Azis
Keyword(s):  
Knowledge Management ◽  
Theoretical Model ◽  
Literature Review ◽  
Data Extraction ◽  
Relevant Literature ◽  
Future Research ◽  
Online Research ◽  
Innovation Capability ◽  
Research Model ◽  
Business Practitioners

Aim/Purpose: The aim of this study is to develop a research model derived from relevant literature to guide empirical efforts. Background: Companies struggle to innovate, which is essential for improving their performance, surviving in competition, and growing. A number of studies have discussed company innovation capability, stating that innovation capability is influenced by several variables such as cooperation and knowledge management. Therefore, further research is necessary to identify factors playing a role in enhancing innovation capability. Methodology: This study is based on systematic literature review. The stages are: (1) research scope review, (2) comprehensive online research, (3) journal quality assessment, (4) data extraction from journals, (5) journal synthesis, and (6) comprehensive report. The online research used Google Scholar database, by browsing titles, abstracts, and keywords to locate empirical research studies in peer-reviewed journals published in 2010-2020. Furthermore, 62 related articles were found, of which 38 articles were excluded from further analysis and 24 articles were selected because they were more related to the topic. Contribution: The results of this study enrich the research in the field of knowledge management, cooperation, and innovation capability by developing a conceptual framework of innovation capability. The proposed theoretical model may be fundamental in addressing the need of a research model to guide further empirical efforts. Findings: This study provides a research model derived from systematically reviewing relevant literature. The proposed theoretical model was done by incorporating the aspects of knowledge management, cooperation, and innovation capability. The model shows that knowledge management and cooperation are essential aspects of innovation capability. Furthermore, this study also provides the dimensions and sub dimensions of each variable that was established after synthesizing the literature review. Recommendations for Practitioners: Business practitioners can use the identified predictors of innovation capability and the dimensions of each variable to explore their company’s innovation capability. They can also take the relevant variables into consideration when making policies regarding innovation. Recommendation for Researchers: The theoretical model proposed in this study needs validation with further empirical investigation. Impact on Society: Readers of this paper can obtain an understanding that knowledge management and cooperation are essential aspects to consider in enhancing innovation capability. Future Research: Future studies should explore other dimensions of knowledge management and cooperation through alternative approaches and perspectives.

Dynamic capabilities vs. innovation capability: are they related?

2014 ◽  
Vol 21 (3) ◽  
pp. 368-384 ◽  
Author(s):  
Lidija Breznik ◽  
Robert D. Hisrich
Keyword(s):  
Literature Review ◽  
Design Methodology ◽  
Dynamic Capabilities ◽  
Dynamic Capability ◽  
Future Research ◽  
Innovation Capability ◽  
New Approach ◽  
Content Type ◽  
New Research ◽  
The Relationship

Purpose – The purpose of this paper is to provide insights into the relationship between dynamic capabilities and innovation capabilities. It links dynamic capability with innovation capability and indicates the ways they can be related. Design/methodology/approach – The relationships between dynamic and innovation capability were investigated through a systematic literature review. Findings – The review indicates that common characteristics exist between of the both fields, which demonstrate six relationships. Additionally, findings show some inconsistencies and even contradictions. Originality/value – In this paper, the authors have compared dynamic capabilities, a relatively new approach in the field of strategic management, with innovation capabilities, a widely recognised crucial domain for sustained competitiveness. Since both areas address issues that are essential to today's environment, future research should seek to clarify both concepts, by undertaking some new research and developing comprehensive and unambiguous framework.

Integrating IS Security With Knowledge Management

2019 ◽  
pp. 267-283
Author(s):  
Murray Eugene Jennex ◽  
Alexandra Durcikova
Keyword(s):  
Knowledge Management ◽  
Literature Review ◽  
Knowledge Sharing ◽  
Lessons Learned ◽  
Future Research ◽  
Knowledge Capture ◽  
Knowledge Sourcing ◽  
Research Areas ◽  
Is Security ◽  
Job Postings

Knowledge management focuses on capturing and sharing knowledge. Because of this, KM researchers tend to focus on issues related to knowledge capture, storage, and sharing. However, because knowledge is valuable, it is a target needing to be protected. This chapter posits that KM researchers and practitioners also need to think about security and explores how important security skills are to KM practitioners and researchers. A literature review was performed to determine how much attention is paid by KM researchers to knowledge security. Additionally, KM job postings were examined to determine if security skills are considered important by those hiring KM practitioners. Next, a survey was prepared for exploring security attitudes of KM practitioners as an area of future research. Finally, future research areas for IS security are proposed that can greatly benefit from lessons learned in the areas of both knowledge sharing and knowledge sourcing.

Evaluating e-Learning Initiatives

2011 ◽  
Vol 6 (1) ◽  
pp. 35-51 ◽  
Author(s):  
Stelios Daskalakis ◽  
Nikolaos Tselios
Keyword(s):  
Theoretical Model ◽  
Literature Review ◽  
Research Model ◽  
Learning Context ◽  
Learning Evaluation ◽  
E Learning ◽  
Research Findings ◽  
Specific Factors ◽  
Research Frameworks ◽  
Context Specific

Evaluation aspects, in relation to e-learning initiatives, are gaining substantial attention. As technology continuously influences learning, technical as well as organizational requirements need to be thoroughly investigated across a variety of stakeholders. In this paper, an outline of those aspects is presented, which occurred from a literature review on methods and research frameworks utilized toward the evaluation of e-learning initiatives. The review identified a series of studies that take advantage of well-established theories in the area of users’ acceptance of technology combined with additional, e-learning context-specific factors. Results of the review are presented, according to the adopted research model, to ease the process of locating and retrieving e-learning evaluation paradigms per theoretical model. In addition, research findings are discussed and future implications for e-learning evaluation initiatives as well as potential stakeholders are highlighted.

scholarly journals What Happens after the Rare Earth Crisis: A Systematic Literature Review

2019 ◽  
Vol 11 (5) ◽  
pp. 1288 ◽  
Author(s):  
Yufeng Chen ◽  
Biao Zheng
Keyword(s):  
Rare Earth ◽  
Literature Review ◽  
Relevant Literature ◽  
Clean Energy ◽  
Economic Research ◽  
Research Trend ◽  
Future Research ◽  
China National Knowledge Infrastructure ◽  
Scientific Publications ◽  
The Rare Earth

Rare earths (REs) play an important role in modern life, and have been the focus of global attention in recent years. As a result, the number of scientific publications has grown enormously, increasing the need for understanding the knowledge base of various research streams and their emerging branches. The economic analysis of REs has also augmented steadily. Nevertheless, the relevant literature is rather fragmented concerning the thematic topics. To respond to this, a systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and a bibliometric analysis were developed to offer a systematic and holistic literature review of the economic research on REs. This review incorporates studies of REs regarding aspects of supply, price, export policy, international trade, relationship with clean energy, and sustainability. The database of this review includes a set of 85 systemically selected state-of-the-art articles from five databases, including Web of Science, Science Direct, Springer, Proquest, and China National Knowledge Infrastructure (CNKI) that were published after the rare earth crisis, covering empirical and theory research conducted in different countries with different resource endowments. The results show that the majority of the economic research studies have been conducted in the past six years. Furthermore, among the six categories, the most popular research trend is sustainability. Some possible opportunities for future research are also illustrated in this paper.

A systematic literature review on the usage of eye-tracking in understanding process models

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rafael Batista Duarte ◽  
Denis Silva da Silveira ◽  
Vinícius de Albuquerque Brito ◽  
Charlie Silva Lopes
Keyword(s):  
Literature Review ◽  
Eye Tracking ◽  
Business Process ◽  
Systematic Literature Review ◽  
Data Extraction ◽  
Process Models ◽  
Future Research ◽  
Comprehensive Overview ◽  
Content Type ◽  
Tracking Device

PurposeBusiness process modeling can involve multiple stakeholders, so it is natural that problems may occur during the designing and understanding processes. One way to perceive these problems is to evaluate the comprehension of business process models through the collection of data related to the readers' eye movement via an eye-tracking device. The purpose of this paper is to provide a comprehensive overview of the use of eye-trackers in understanding process models and to offer a research roadmap to challenge the community to address the identified limitations and open issues that require further investigation.Design/methodology/approachTo achieve this goal, Systematic Literature Review (SLR) was performed following good practices from the Evidence-Based Software Engineering's (EBSE) field.FindingsThis study resulted in 10 primary studies selected for analysis and data extraction, from the 1,482 initially retrieved. The major findings indicate that the business process community still benefits little from the use of eye-tracking, e.g. not offering sufficient support for inexperienced designers and not having an explicit standardization in its use. These and other findings are synthesized in a research roadmap which results would benefit researchers and practitioners.Originality/valueIn the studies found, the methods used to explore eyes' movement in process models' comprehension analysis were presented as an advantage of the current study. Additionally, another aspect presented in this SRL as an originality is presenting a set of open questions, suggesting valuable topics for future research through a research script (research roadmap).

scholarly journals Crowdsourcing: a systematic review of the literature using text mining

2020 ◽  
Vol 120 (11) ◽  
pp. 2041-2065
Author(s):  
Ioanna Pavlidou ◽  
Savvas Papagiannidis ◽  
Eric Tsui
Keyword(s):  
Text Mining ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Relevant Literature ◽  
Reliability And Validity ◽  
Future Research ◽  
Content Type ◽  
Main Research ◽  
Critical Elements ◽  
A Value

PurposeThis study is a systematic literature review of crowdsourcing that aims to present the research evidence so far regarding the extent to which it can contribute to organisational performance and produce innovations and provide insights on how organisations can operationalise it successfully.Design/methodology/approachThe systematic literature review revolved around a text mining methodology analysing 106 papers.FindingsThe themes identified are performance, innovation, operational aspects and motivations. The review revealed a few potential directions for future research in each of the themes considered.Practical implicationsThis study helps researchers to consider the recent themes on crowdsourcing and identify potential areas for research. At the same time, it provides practitioners with an understanding of the usefulness and process of crowdsourcing and insights on what the critical elements are in order to organise a successful crowdsourcing project.Originality/valueThis study employed quantitative content analysis in order to identify the main research themes with higher reliability and validity. It is also the first review on crowdsourcing that incorporates the relevant literature on crowdfunding as a value-creation tool.

scholarly journals Knowledge sharing is knowledge transfer: a misconception in the literature

2016 ◽  
Vol 20 (4) ◽  
pp. 653-670 ◽  
Author(s):  
Gangeswari Tangaraja ◽  
Roziah Mohd Rasdi ◽  
Bahaman Abu Samah ◽  
Maimunah Ismail
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Literature Review ◽  
Knowledge Sharing ◽  
Design Methodology ◽  
Relevant Literature ◽  
Extensive Literature ◽  
Content Type ◽  
Extensive Literature Review ◽  
Practical Implications

Purpose The paper aims to clearly differentiate knowledge sharing (KS) and knowledge transfer (KT) besides exemplifying their interconnections to minimize the current confusions in the knowledge management (KM) literature. Design/methodology/approach An extensive literature review method was used to analyse relevant literature on both KS and KT to clearly delineate their differences and their interconnections. Findings The paper found that KS is a subset of KT (using personalization strategy), whereas KT as a whole is a broader concept, if compared with KS. However, KS is not one of the immediate processes involved in KT (using codification strategy). The processes involved in KS and KT differ according to the strategy used (in KT) and perspective chosen (in KS). Other findings include KS (unidirectional) as reflective concept (viewed so far), whereas KS (bidirectional), KT (personalization) and KT (codification) as formative concepts. Research limitations/implications The findings of this paper were based on the review of selected relevant articles only. Practical Implications The paper will minimize the current confusions in the KM literature and will assist future researches on both KS and KT to ensure what these concepts entail to avoid construct underrepresentation. Originality/value As compared to previous attempts, the present paper has shown the interconnections between KS and KT, as well as the differences based on the two perspectives of KS (unidirectional/bidirectional) and the two strategies of KT (personalization/codification), and such effort is new in the literature.

Metadata analysis of knowledge management in supply chain

2016 ◽  
Vol 22 (1) ◽  
pp. 140-172 ◽  
Author(s):  
Vishal Ashok Bhosale ◽  
Ravi Kant
Keyword(s):  
Knowledge Management ◽  
Supply Chain ◽  
Data Analysis ◽  
Literature Review ◽  
Future Research ◽  
Content Type ◽  
Multi Stage ◽  
The Status ◽  
Interest Level ◽  
Metadata Analysis

Purpose – The purpose of this paper is to present a comprehensive and useful insight into the knowledge management (KM) in the supply chain (SC) research and provide gaps and future research implications. The literature review includes a metadata analysis of KM in SC research along a number of dimensions, the existing dimensions as well as dimensions which are previously not been presented within the current area to predict the future role of KM in SC. Design/methodology/approach – The study is to examine the status of KM in SC within academic and industrial research in the last 14 years. The systematic literature review of KM in SC is based on 176 peer reviewed articles selected through a multi-stage process, from 1,063 studies during January 2001-June 2014. Findings – An increase in the interest level of incorporating KM in SC is clearly visible while studying available literature. The statistics prove that research in the field of KM in SC is overwhelmingly empirically oriented. Another major finding shows that the survey model score highest among all the research method used in the discipline. In general, the research is more interpretive in nature and provides a frame for theoretical critique. The result indicates that there is a need to use of advanced data analysis techniques with traditional data analysis technique. Originality/value – The review simply provides statistical summary which is easy to understand for practitioner and provide increased insights on the current state of research for the KM in SC.

scholarly journals Identifying ”good” practices of developers using corrective and preventive actions and their impact on software metrics

2021 ◽  
Vol 2134 (1) ◽  
pp. 012013
Author(s):  
Kirill Daniakin
Keyword(s):  
Literature Review ◽  
Software Metrics ◽  
Defect Density ◽  
Data Extraction ◽  
Relevant Literature ◽  
Software Developers ◽  
Good Practices ◽  
Preventive Actions

Abstract This work presents a literature review, an analysis on how certain actions of software developers impact certain software metrics (such as defect density), and an attempt to highlight good (most efective in terms of software metrics) development practices based on the corrective and preventive actions extracted from the literature. Across multiple relevant studies, defect density was the most used metric, that is why this metric was used to identify the good practices. The most used practices are those that were encountered the most during data extraction from the relevant literature. The extracted actions were categorized using CMMI taxonomy. Overall, 115 unique actions were identifed falling into 53 CMMI taxonomy categories. There were 30 good and the most used practices identifed that fell into 4 CMMI categories.

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