Knowhow, Skills and Competencies as Knowledge Assets for Luxury Companies

Purpose The pivotal role of knowledge management (KM) and its extensive implications have been debated in the academic literature with insufficient focus on its link to particular organizational control mechanisms such as performance measurement systems (PMS). To bridge this gap and building on resource orchestration theory, this paper aims to investigate the relationships between KM factors, PMS and corporate performance. Design/methodology/approach Based on a survey data set of 92 listed companies in Iran, the framework and hypotheses were tested using structural equation modeling (SEM) based on partial least squares (PLS). Findings The SEM-PLS results indicate that knowledge assets are significantly associated with both PMS and corporate performance while knowledge process capabilities (KPC) are not significantly associated with PMS and corporate performance. This study also shows that PMS mediates the relationship between knowledge assets and corporate performance. Practical implications The results suggest that the use of appropriate management control systems plays an effective role in synchronizing, aligning and orchestrating a company’s various knowledge resources, which, in turn, can lead to superior overall performance. Originality/value Building on a unique synthesis of resource orchestration theory and the knowledge-based view of the firm, the results of this study provide the first empirical evidence on how PMS intervenes in the relationship between knowledge resources (knowledge assets and KPC) and corporate performance.

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Knowledge management, Data Science and interlaboratory data in the generation of knowledge assets

10.31012/978-65-5861-344-2 ◽

2021 ◽

Author(s):

Ney Kassiano Ramos ◽

Cristina Keiko Yamaguchi

Keyword(s):

Decision Making ◽

Knowledge Management ◽

Data Science ◽

Animal Health ◽

Decision Making Process ◽

Knowledge Assets ◽

Science Technology ◽

Management Discipline

In this book, the authors propose that information from different animal health laboratories (here known as interlaboratory data), can be examined using the Knowledge Management discipline and Data Science technology, generating knowledge assets, information that can be useful in animal diagnosis, scientific studies and in the laboratories’ decision making process.

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Barriers to Knowledge Management in the Health Sector of Pakistan

Sustainability ◽

10.3390/su10114155 ◽

2018 ◽

Vol 10 (11) ◽

pp. 4155 ◽

Cited By ~ 11

Author(s):

Jawad Karamat ◽

Tong Shurong ◽

Naveed Ahmad ◽

Abdul Waheed ◽

Shahbaz Khan

Keyword(s):

Knowledge Management ◽

Health Care Professionals ◽

Matrix Multiplication ◽

Health Sector ◽

Developed Countries ◽

Healthcare Industry ◽

Sustainable Competitive Advantage ◽

Interpretive Structural Modeling ◽

Knowledge Assets ◽

Effective Implementation

Knowledge management (KM) is the source for creating a sustainable competitive advantage, and it helps the organizations to retain, develop, organize and utilize their knowledge. Due to globalization, the organizations must maintain their knowledge assets to survive. Many organizations have realized the potential of KM and are applying it. Since the healthcare industry is growing significantly, it is continuously generating a wealth of knowledge. This knowledge can be recorded, communicated and used by many health care professionals with the help of KM. There is a wealth of research on KM in healthcare of developed countries, but very few studies regarding KM implementation can be found in developing countries i.e., Pakistan. Pakistan is now looking towards the implementation of KM; it is in its initial stages. The implementation of KM in the healthcare of Pakistan is affected by different barriers. In this study, the barriers will be identified and analyzed. An interrelationship between the barriers will be determined, and how the different barriers support each other (driving power), and how they influence each other (dependence power). The results of interpretive structural modeling (ISM) and MICMAC (Matrice d’Impacts croises-multipication appliqué an classment i.e., cross-impact matrix multiplication applied to classification) approach show that lack of support from top management, insufficient strategic planning and lack of support from organizational structure are the main barriers to KM adoption in the healthcare of Pakistan. This study provides a solution in determining the main barriers that need to be solved first, and to ensure effective implementation of KM in the healthcare of Pakistan.

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Knowledge Generation in Mid Size Entrepreneurial Firms

Vision The Journal of Business Perspective ◽

10.1177/097226290500900405 ◽

2005 ◽

Vol 9 (4) ◽

pp. 51-63 ◽

Cited By ~ 5

Author(s):

Anurag Mishra ◽

M. Akbar

Keyword(s):

Process Model ◽

Case Analysis ◽

Knowledge Generation ◽

Generic Model ◽

Entrepreneurial Firms ◽

Generation Process ◽

Knowledge Assets ◽

Developed Markets ◽

Knowledge Based ◽

Line Diagram

Literature on medium sized enterprises (MSEs) is limited both in developed markets and emerging markets. This paper addresses this gap and explores MSEs from a knowledge-based perspective. Grounded in the case based research often MSEs, the paper identifies the knowledge assets employed by highly successful firms. The paper performs a detailed case analysis of three such firms from our sample. We trace the knowledge generation process through a detailed line diagram and based on the case analysis, build a generic model for analyzing the knowledge conversion process in MSEs. The contribution of this work is articulated in the process model that integrates the various classes of knowledge assets in the context of transitional firms in India. The paper also develops a few empirically testable propositions, filling a major gap in existing literature on knowledge management.

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Knowledge Assets: Identification and Integration

The Palgrave Handbook of Knowledge Management ◽

10.1007/978-3-319-71434-9_12 ◽

2018 ◽

pp. 273-303

Author(s):

Juani Swart ◽

Cliff Bowman ◽

Kerrie Howard

Keyword(s):

Knowledge Assets

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Teamwork, Edison Style

Mechanical Engineering ◽

10.1115/1.2015-feb-3 ◽

2015 ◽

Vol 137 (02) ◽

pp. 46-49 ◽

Cited By ~ 1

Author(s):

Sarah Miller Caldicott

Keyword(s):

Team Member ◽

Beating Heart ◽

Diverse Group ◽

Critical Component ◽

Knowledge Assets ◽

Textile Worker ◽

Instrument Maker ◽

New Knowledge ◽

Electric Light

This article discusses Thomas Edison’s concept of teamwork and collaborations. Edison fundamentally viewed collaboration as a connecting force, a transformational force that facilitated and made possible the development of new knowledge. Edison’s innovations were generated through focused approaches to teamwork and collaboration. He viewed collaboration as the beating heart of his laboratories, a sustaining resource that fueled the knowledge assets of his innovation. Edison designed a process of collaboration that was used across his entire enterprise of more than 200 companies worldwide. Because Edison believed that individuals are vital to collaborative success, he placed emphasis on the contributions of each team member as a critical component of the team’s joint efforts. Because he believed that a diverse group of individuals offered the best chance for collaborative success, Edison consistently created teams that had members from several disciplines. The famous group that drove the breakthrough thinking behind the incandescent electric light consisted of a glassblower, a machinist, a chemist, a mathematician, an instrument maker, and a textile worker, along with Edison himself.

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Open Innovation and Social Big Data for Sustainability: Evidence from the Tourism Industry

Sustainability ◽

10.3390/su10093215 ◽

2018 ◽

Vol 10 (9) ◽

pp. 3215 ◽

Cited By ~ 12

Author(s):

Pasquale Del Vecchio ◽

Gioconda Mele ◽

Valentina Ndou ◽

Giustina Secundo

Keyword(s):

Big Data ◽

Open Innovation ◽

Tourism Industry ◽

Longitudinal Case Study ◽

Huge Amount ◽

Knowledge Assets ◽

Social Big Data ◽

Tourism Experience ◽

Innovation Processes

This paper aims to contribute to the debate on Open Innovation in the age of Big Data by shedding new light on the role that social networks can play as enabling platforms for tourists’ involvement and sources for the creation and management of valuable knowledge assets. The huge amount of data generated on social media by tourists related to their travel experiences can be a valid source of open innovation. To achieve this aim, this paper presents evidence of a digital tourism experience, through a longitudinal case study of a destination in Apulia, a Southern European region. The findings of the study demonstrate how social Big Data could open up innovation processes that could be of support in defining sustainable tourism experiences in a destination.

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