Directions and Trends in Knowledge Management Research

2011 ◽  
pp. 1438-1449
Author(s):  
George M. Giaglis
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Learning Environments ◽  
Pattern Matching ◽  
Future Research ◽  
Research Projects ◽  
Knowledge Repositories ◽  
Accurate Definition ◽  
Research Themes ◽  
Definition Of

Knowledge and Information Management (KIM) has existed as a separate field of scientific research for almost a decade. It is therefore surprising that very few studies to date have been concerned with the identification of the scope and boundaries of the field, as well as the sub-topics and research themes that constitute it. This chapter reports on the results of an empirical analysis of more than 200 research projects in Knowledge and Information Management. Using an inductive methodology of pattern matching analysis, a more accurate definition of knowledge management is attempted, and an innovative taxonomy of research sub-themes within the ‘umbrella’ area of Knowledge and Information Management is proposed. Furthermore, a trend towards a gradual maturation of the presently prevailing research paradigm is identified, indicating a need for a ‘paradigm shift’ that will provide a new direction and vision for future research in the area. We suggest that targeted future research efforts in the area of knowledge technologies will contribute to the development of the ‘next generation’ knowledge management systems that will transform the existing ‘passive’ knowledge repositories into ‘active’ learning environments.

Directions and Trends in Knowledge Management Research

2003 ◽  
pp. 1-15
Author(s):  
George M. Giaglis
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Learning Environments ◽  
Pattern Matching ◽  
Future Research ◽  
Research Projects ◽  
Knowledge Repositories ◽  
Accurate Definition ◽  
Research Themes ◽  
Definition Of

Knowledge and Information Management (KIM) has existed as a separate field of scientific research for almost a decade. It is therefore surprising that very few studies to date have been concerned with the identification of the scope and boundaries of the field, as well as the sub-topics and research themes that constitute it. This chapter reports on the results of an empirical analysis of more than 200 research projects in Knowledge and Information Management. Using an inductive methodology of pattern matching analysis, a more accurate definition of knowledge management is attempted, and an innovative taxonomy of research sub-themes within the ‘umbrella’ area of Knowledge and Information Management is proposed. Furthermore, a trend towards a gradual maturation of the presently prevailing research paradigm is identified, indicating a need for a ‘paradigm shift’ that will provide a new direction and vision for future research in the area. We suggest that targeted future research efforts in the area of knowledge technologies will contribute to the development of the ‘next generation’ knowledge management systems that will transform the existing ‘passive’ knowledge repositories into ‘active’ learning environments.

scholarly journals From Social Ties to Network Processes: Do Tie Definitions Matter?

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Ed Fincham ◽  
Dragan Gašević ◽  
Abelardo Pardo
Keyword(s):  
Learning Environments ◽  
Social Ties ◽  
Large Body ◽  
Extraction Methods ◽  
Future Research ◽  
Learning Technology ◽  
Discussion Forums ◽  
Methodological Choices ◽  
E Learning ◽  
Definition Of

The widespread adoption of digital e-learning environments and other learning technology has provided researchers with ready access to large quantities of data. Much of this data comes from discussion forums and has been studied with analytical methods drawn from social network analysis. However, within this large body of research there exists considerable variation in the definition of what constitutes a social tie, and the consequences of this choice are rarely described or examined. This paper presents findings from two distinct learning environments regarding different social tie extraction methods and their influence on the structural and statistical properties of the induced networks, and the association between measures of centrality and academic performance. Our findings indicate that social tie definitions play an important role in shaping the results of our analyses. The primary purpose of this paper is to raise awareness of the consequences that such methodological choices may have, and to promote transparency in future research.

The review of “green” research in hospitality, 2000-2014

2017 ◽  
Vol 29 (1) ◽  
pp. 226-247 ◽  
Author(s):  
Sun-Hwa Kim ◽  
Kiwon Lee ◽  
Ann Fairhurst
Keyword(s):  
Systematic Review ◽  
Environmental Protection ◽  
Business Strategy ◽  
Value Added ◽  
Future Research ◽  
Content Type ◽  
Accurate Definition ◽  
Green Practices ◽  
Definition Of ◽  
Research Domains

Purpose Green practices have been of increasing interest to both practitioners and researchers in the hospitality context. To understand how green practices have been adopted in the industry, a systematic review of recent hospitality literature is essential. The purpose of this paper is to identify research domains and formulate a definition of green practices that accurately reflects the current hospitality context. Design/methodology/approach The authors reviewed 146 articles on green practices published between 2000 and 2014 in eight hospitality journals. Using content analysis, multiple researchers coded the articles using a standardized coding scheme. Findings The number of articles on green practices in the hospitality context has been growing. Most studies focus on managers and the lodging sector. The authors identify three research domains for green practices in the hospitality literature: organizational, operational and strategic. They define a green practice as a value-added business strategy that benefits hospitality operations that engage in environmental protection initiatives. Research limitations/implications This framework may help practitioners develop green practice strategies and governments develop effective green policies and reinforce activities aimed at environmental protection. It provides theoretical foundation for future research related to green practices in the hospitality industry. Overall, hospitality stakeholders can use this framework to understand the implementation and effects of green practices. Originality/value The authors create an organizational framework for a fragmented body of literature by identifying three research domains for green practices based on a systematic review of recently published hospitality articles (2000-2014). They challenge existing definitions of green practices and propose an accurate definition tailored to the hospitality context.

scholarly journals Critical Succes Factor Information System Model

2020 ◽  
Vol 8 (5) ◽  
pp. 5165-5171
Keyword(s):  
Information System ◽  
Knowledge Management ◽  
Information Management ◽  
Information Management System ◽  
System Model ◽  
Management Systems ◽  
Future Research ◽  
Management Support ◽  
Critical Success ◽  
Information Management Systems

The successful application of knowledge management as information system is determined by many factors where these factors are a component or part of knowledge management. The success of developing knowledge management will depend on these important factors. So far the knowledge system model that was built is only based on the main part without looking at the important parts of the model. This research aims to build a information system model based on factors of critical success. The identification of the critical success factors was sourced from 51 articles with a time span between 2006 and 2019. The results of this paper are a collection of several factors that determine the success of building a information management system. The most critical factor for information management systems is management support and organizational culture. Future research will continue research on strategies for implementing information management systems

Fraud and Governance: The Importance of People

2021 ◽  
Author(s):  
Dana R. Hermanson
Keyword(s):  
Corporate Governance ◽  
Future Research ◽  
Research Projects ◽  
Light Bulb ◽  
Research And Teaching ◽  
Human Aspects ◽  
Research Themes ◽  
Governance Challenges ◽  
Over Time ◽  
Professional Journey

This paper describes my professional journey focusing on human aspects of fraud and corporate governance. I describe the initial “light bulb” moments that highlighted the importance of people and the years of human-focused fraud and governance research and teaching since those events. I summarize key insights from a variety of human-focused research projects, and I develop research themes focused on skills, signals, relationships, fairness, and persuasion (with bad intent). I also provide avenues for future research within each theme. I encourage others to keep the importance of people at the forefront as we address fraud and governance issues. Over time, our systems, regulations, and organizations will change, but we will still have people at the center of our fraud and governance challenges.

VISION

2011 ◽  
pp. 140-168
Author(s):  
Sven Schade
Keyword(s):  
Major Part ◽  
Building Blocks ◽  
Future Research ◽  
Research Projects ◽  
Environmental Models ◽  
Information Infrastructures ◽  
Semantic Service ◽  
Definition Of ◽  
Geospatial Web Services ◽  
Future Information

Over the past years, many research projects and initiatives have provided heterogeneous building blocks for the so called Semantic Geospatial Web. The number of proposed architectures and developed components impede a definition of the state of the art, comparisons of existing solutions, and the identification of open research challenges. This chapter provides the missing generic specification of central building blocks. Focusing on service based solutions; VISION (VIsionary Semantic service Infrastructure with ONtologies) is introduced as a means to depict required components at a generalized level. The VISION architecture highlights the most important services for the Semantic Geospatial Web and brings structure to the numerous past and present partial solutions. Model-as-a-Service (MaaS) is introduced as a central concept for encapsulating environmental models. This has great potential to be a major part of future information infrastructures. The German-funded GDI-GRID project serves illustrating examples for MaaS and arising interoperability challenges. This paper will focus on VISION, and compare it with two other recent research projects and conclude by identifying major areas for future research on Semantic Geospatial Web Services and supporting infrastructures.

Reflecting on 10 years of focus on innovation, organisational learning and knowledge management literature in a construction project management context

2016 ◽  
Vol 16 (2) ◽  
pp. 114-126 ◽  
Author(s):  
Derek H.T. Walker
Keyword(s):  
Knowledge Management ◽  
Project Management ◽  
Innovation Diffusion ◽  
Organisational Learning ◽  
Future Research ◽  
Construction Project Management ◽  
Content Type ◽  
Research Themes ◽  
Management Context ◽  
Management Domains

Purpose This paper provides a brief critical analysis of how the focus on innovation diffusion, organisational learning and knowledge management has developed with an emphasis on the 2005-2015 period. The purpose of this paper is to provide a recent historic perspective on these concepts and suggest an integrated future focus for this research. Design/methodology/approach The paper identifies trends in how knowledge and learning is associated with innovation and experience based on a literature review. Findings The study of organisational learning and the management of knowledge and innovation diffusion is well-established in the construction and project management domains with two strongly emerging intertwined foci. On one hand, there has been a significant growing focus on learning through collaboration and the value of being a reflective practitioner. On the other hand, the exponential growth in the power of computing has led to “Big Data” reappearing to redefine data and information into pseudo-knowledge that is “blurring” the boundary of data, information and knowledge. Increasingly, we are likely to see effective innovation through more practical blending of these foci. Originality/value This provides a reflection on changing perspectives, on human and machine learning and knowledge management that may have a profound impact on future research themes.

scholarly journals Diagnóstico y políticas de promoción del emprendimiento en estudiantes

2015 ◽  
Vol 32 (1) ◽  
pp. 183 ◽  
Author(s):  
Amparo Oliver ◽  
Laura Galiana ◽  
Marta Gutiérrez-Benet
Keyword(s):  
State Government ◽  
Multivariate Analyses ◽  
Descriptive Statistics ◽  
Government Policies ◽  
Future Research ◽  
Education Programs ◽  
Independent Variables ◽  
Entrepreneurial Attitudes ◽  
Accurate Definition ◽  
Definition Of

The increasing need for socio-economical and educative measures, targeting the development of an entrepreneurship culture, makes essential the accurate definition of the construct. This, together with a measure to provide a baseline of students’ entrepreneurship would facilitate the assessment of European and state government policies and interventions. The aim of the study is to provide an understanding of the entrepreneurial attitudes in the Spanish educative context, from which the implementation and assessment of entrepreneurship culture and education programs could be developed. 524 students (267 high school and 257 university students) answered the Entrepreneurship Attitudes Scale. Descriptive statistics and parametric and non-parametric multivariate analyses of variance were developed, including gender and educational stage as independent variables. Results showed differences between genders on some entrepreneurship dimensions, and also offered criteria values for future research and interventions in the field. Implications of this work are related to the current political context.

Knowledge Management and Information Technology Security Services

2009 ◽  
pp. 814-820
Author(s):  
Pauline Ratnasingam
Keyword(s):  
Knowledge Management ◽  
Customer Value ◽  
Future Research ◽  
It Security ◽  
Security Services ◽  
Information Technology Security ◽  
It Systems ◽  
Access Controls ◽  
Definition Of ◽  
The Right

With the explosion of the Internet and Web technologies as a medium of exchange, issues such as knowledge coordination problems, knowledge transfer problems, and knowledge reuse problems related in IT security knowledge management have been growing exponentially. These problems arise from the complexities faced by individuals, groups, and organizations in recognizing the nature of knowledge needed to solve problems or make decisions. Knowledge management (KM) provides a formal mechanism for identifying and distributing knowledge. It is the discipline that focuses on capturing, organizing, sharing, and retaining key corporate knowledge as an asset (McManus & Snyder, 2002). KM ensures that the right knowledge is available in the right representation to the right processors (humans or machines) at the right time for the right costs (Holsapple & Singh, 2005). Benefits of proper KM include improved organizational effectiveness, delivery of customer value and satisfaction, and added product and service innovation. There is no reason to believe that IT security will be an exception in the context of KM and IT. It has been recognized that the first step in the KM process is to identify or define knowledge needs. This article aims to discuss the role of knowledge management categories, namely knowledge resources, knowledge characteristics, knowledge dimensions, and stakeholders in IT security and their relationship to security services. We develop a theoretical framework by integrating IT security services pertaining to confidentiality, integrity, authentication, non-repudiation, access controls, and availability of IT systems with the knowledge management categories. The study extends the theory on knowledge management and the importance of maintaining IT security. We conclude the article with the contributions of the framework to theory and practitioners leading to directions for future research. The next section introduces the categories of knowledge management and IT security services. We begin with the definition of knowledge management from previous research. We then provide a discussion of the categories of knowledge management leading to the development of an integrated IT security framework of knowledge management.

scholarly journals A Comparison of the Approaches to Customer Experience Analysis

2017 ◽  
Vol 31 (1) ◽  
pp. 82-93 ◽  
Author(s):  
David Havíř
Keyword(s):  
Conceptual Models ◽  
Customer Experience ◽  
Research Projects ◽  
Research Papers ◽  
Comprehensive View ◽  
Accurate Definition ◽  
Practical Research ◽  
Long Time ◽  
Similarities And Differences ◽  
Definition Of

AbstractNowadays, customer experience is receiving much attention in scientific and managerial community. Scholars and practitioners state that customer experience is the next area of competition. For a long time, there has been a call for a uniform, accurate definition, definition of its components, and the development of the customer experience frameworks. As this topic is new, there has been a considerable fragmentation. The question is if the fragmentation is still present and how can we address it. The aim of this paper is to summarize research on customer experience analysis and to explore and compare the dimensions describing customer experience listed in seven conceptual models with findings from 17 research projects on customer experience conducted after the year 2010. The purpose of this is to summarize recent knowledge, get the most comprehensive view on customer experience and its possible decomposition, and to reveal possible relationships between the dimensions. Based on a review of the available literature, the paper juxtaposes several approaches to customer experience analysis and compares their results to find similarities and differences among them. In the first step, the dimensions and factors of the customer experience were extracted from the seven models to analyze customer experience and they were compared with each other. This resulted in a set of dimensions and factors. In the next step, customer experience factors and dimensions were extracted from 17 practical research papers on customer experience. Finally, based on their descriptions and found similarities, the dimensions and factors were put together into several groups, as this grouping and creation of the new universal set of dimensions might solve the fragmentation issue.

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