ArticlePDF Available

The importance of knowledge management on innovation

Authors:

Abstract

Knowledge management and innovation are two key activities for companies. Knowledge management has been regarded as one vital management approach in new era of knowledge-based economy.The need for organizations to innovate comes from increasing competition and customer demands and new market areas. Knowledge management has important implications for innovation; therefore it is imperative that we understand the role of Knowledge management in innovation. This paper focuses on the importance of knowledge management on innovation in organizations.
Applied mathematics in engineering, management and technology 5(1) 2017:68-73
www.amiemt-journal.com
68
Abstract
Knowledge management and innovation are two key activities for companies. Knowledge
management has been regarded as one vital management approach in new era of
knowledge-based economy.The need for organizations to innovate comes from increasing
competition and customer demands and new market areas. Knowledge management has
important implications for innovation; therefore it is imperative that we understand the role
of Knowledge management in innovation. This paper focuses on the importance of
knowledge management on innovation in organizations.
Keywords: knowledge, knowledge management, innovation.
Introduction
Knowledge plays an increasingly important role in modern organisations. Business processes are complex and
dynamic, manual labour is being replaced by knowledge work, requiring a high level of skills and expertise.
Knowledge and skills that are of value to the organization tend to be embodied in individuals difficult to substitute.
In new economics of the world creativity and knowledge become important factors of production, beside resources
of capital, workforce, land and nature. The importance of knowledge for the development will probably increase;
and knowledge might influence the difference between prosperity and poverty (Sedziuviene & Vveinhardt,2010).
In today’s complex and turbulent environment the need for innovation in products and processes is widely
recognised ( Massa & Testa,2004). Organisations are required to apply new technologies and to innovate timely in
anticipation of changes in the marketplace rather than as a reaction to business decline. Knowing when, how and
what to innovate therefore is a key competence for organisations (Amidon, 1997).
Knowledge is the key resource that must be managed if improvement efforts are to succeed and businesses are to
remain competitive in the global markets (Drucker, 1993; Davenport & Prusak, 1998). Knowledge management
is about supporting innovation, the generation of new ideas and the exploitation of the organization’s thinking
power (Parlby & Taylor, 2000). The essence of knowledge management (KM) with respect to innovation is
that it provides a framework for management in their attempt to develop and enhance their organizational
capability to innovate. (Leal-Rodríguez et al,2013). Therfore we are going to in this article discuss the importance
of knowledge management on innovation.
Knowledge
The concept of knowledge has gained in interest since industrialized economics have induced a shift in importance
from (natural) resources towards intellectual assets (Hansen et al., 1999). Knowledge is defined as information in
context with understanding to applying that knowledge (Brooking, 1999). Nanaka and Takeuchi (1995) defined
knowledge as “Justified true belief- the belief is that knowledge can be justified by facts”.
The importance of knowledge management on innovation
Ebrahim Rahimi1, Najibeh Abbasi Rostami2, Faranak Safari Shad3, Vajihe Vafaei4
1 . Ph.D Student of human resources management of Research Institute of ShakhesPajouh, Isfahan, Lecturer of Vocational
University of Arak, Iran, erahimi57@gmail.com. (Corresponding author)
2. Master of business management, University of Isfahan, Iran.
30 Ph.D Student of business management , Yazd University,Iran
4. Master of entreprenurship management, Tehran University ,Iran
Applied mathematics in engineering, management and technology 5(1) 2017:68-73
www.amiemt-journal.com
69
Knowledge consists of truths and beliefs, perspectives and concepts, judgments and expectations, methodologies
and know-how.( Wiig1993). Knowledge is justified personal belief that increases an individual’s capacity to take
effective action. (Alavi & Leidner1999).
There are two different kinds of knowledge, that is, tacit and explicit (Polanyi 1958). Tacit knowledge is personal
and, therefore, difficult to formalise, communicate and share with others. Tacit knowledge consists of a technical
dimension often referred to as know-how and a cognitive dimension that includes schemes, mental models and
beliefs, in short a conception of reality. Explicit knowledge can be conceptualised and stored in information
systems. Western thinking has concentrated on explicit knowledge. This tradition stems from the cartesian dualism,
which makes a clear distinction between mind and matter and, accordingly, body and mind. In the Japanese
thinking tradition, knowledge is traditionally seen primarily as something not easily visible and expressible, that is,
tacit by its nature. (Nonaka and Takeuchi 1995)
Knowledge management
Knowledge management is not new. For thousands of years, parents in the countryside shared experience with
their children forecasting the weather, owners of family businesses passed commercial wisdom to next
generations, master craftsmen destroyed temples and rebuilt them so that construction skills would live on, and
workers exchanged know-how on the job. But it wasn’t until the 1990s that corporate executives, university
professors, national leaders and even the World Bank started talking about knowledge management. What is
new is that knowledge management has become a consciously promoted and organised practice attached with
strategic significance for organisations to pursue innovation, gain competitive advantage and improve
performance (zhu,2008).
Knowledge management refers to a systematic and organizational specific framework to capture, acquire,organize,
and communicate both tacit and explicit knowledge of employees so that other employees may utilize them to be
more effective and productive in their work and maximize the organization’s knowledge (Alavi and Leidner, 1999;
Davenport et al., 1998).
Nonaka (2007) prefers to call knowledge management as knowledge-based management, connecting people to
people and people to information to create competitive advantage.
Knowledge management processes
The following steps are followed to represent the cyclical model of KM processes:
(1) Create knowledge . The knowledge comes primarily from the experiences and skills of the employees.
Knowledge is created as people determine new ways of doing things or develop know-how. Sometimes if the
knowledge is not residing in the organization, external knowledge is broughtin, for example, technology transfers
that take place from the research laboratories to the business organizations.
(2) Capture knowledge . The knowledge that is created needs to be stored in its raw form in a database. Most
organizations use many different types of knowledge repositories to capture the knowledge.
(3) Refine knowledge . New knowledge must be placed in context so that it is actionable. This is where human
insights or tacit knowledge is captured and refined along with explicit knowledge .
(4) Store knowledge . Codification of tacit and explicit knowledge helps in making the knowledge under standable
and which can be used later on.
(5) Manage knowledge . Like a library, knowledge must be kept current. It must be reviewed to verify that it is
relevant and accurate. So, most for tune companies have well defined departments that actually take care of
keeping the knowledge current.
(6) Disseminate knowledge . Knowledge must be made available in a useful format to anyone in the organization
who needs it anywhere and anytime. The new technologies like groupware, Internet/intranet and other DSS
technologies help in the dissemination of knowledge.( Bose,2004).
Applied mathematics in engineering, management and technology 5(1) 2017:68-73
www.amiemt-journal.com
70
Innovation
Innovation is widely recognised as a core renewal process within organisations. Unless managers continuously look
for ways to change or at least improve offerings (product/service innovation) or create and deliver those offerings
(process innovation), organisations risk becoming increasingly vulnerable to hostile and turbulent environments (
Tranfield et al,2003).
There are many definitions given to innovation. Drucker (1975) defines innovation as the process of equipping in
new, improved capabilities or increased utility. Thompson defines innovation as the generation, acceptance, and
implementation of new ideas , processes, product s,or services.( Thompson,1965). Innovation can be viewed as the
application of better solutions that meet new requirements, inarticulated needs, or existing market needs.
(Maranville,1992).
Drucker (2004) notices that innovation is not a genial thought, but it is intensive work, which has to be organised
so that it would become the component of every organization’s unit and every level of management system.
(Sedziuviene & Vveinhardt,2010).
Herkma (2003) stated that foremost and basic purpose of innovation is to produce new knowledge which can
develop and find out the doable solutions for society. Innovation is a practice and process which capture,
acquire, manage and diffuse knowledge with aim to create new knowledge which will support to produce
and deliver distinctive and idiosyncratic kind of products and services. (Gloat and Terziovski, 2004).
Schumpeter (1934) identified five different types of innovations:
New product;
New methods of production;
The exploration of new market of production;
New source of supply;
New ways to organise business.
The innovation process involves the acquisition, dissemination, and use of new knowledge (Damanpour,1991).
There seems to be wide agreem ent that knowledge management and firm innovation are highly correlated.
The importance of Knowledge in innovation
Innovation process highly depends on knowledge , specially on tacit knowledge . New and valuable knowledge is
created and converted into products, services and processes , by transforming general knowledge into specific
knowledge. Works on knowledge creation by Nonaka consider knowledge as a main req-uisite for innovation and
competitiveness ( Lopez-Nicolas & Merono-Cerdan,2011).
In Venturous Australia (2008) the properties of information and ideas which are central to all forms of innovation
are described:
1) Knowledge is non-rival. An idea, unlike a consumer good or service, has to be produced only once and it
can then be used many times without detracting from its value
2) Knowledge is cumulative. The current stock of knowledge provides the fertile ground from which further
research develops new knowledge
3) Knowledge is reproducible at negligible cost, particularly digitised knowledge
4) Knowledge is only partially excludable. For example, inspection of patent applications and reverse
engineering can reveal most of the information in product innovations
5) Knowledge is an intangible asset. It cannot be recovered by an investor in the way that a building or a
machine can be recovered
6) The generation of new knowledge involves fundamental uncertainty. It takes us beyond what we know.
These properties of knowledge have profound implications for the economics of the knowledge economy. The
cumulative nature of knowledge, its non-rivalry and cheap reproduction imply that it is socially efficient for
knowledge to be made freely accessible so that diffusion of innovation can occur as quickly and cheaply as
possible. Effective application of knowledge can bring faster development of new products and services, optimise
Applied mathematics in engineering, management and technology 5(1) 2017:68-73
www.amiemt-journal.com
71
R&D investment, and ensure closer alignment with market needs, more successful product introductions, better
anticipation of customer needs and competitor differentiation all essential for organisational
innovation.(Paterson,2013).
Knowledge management and innovation
Abraham (2008) stressed that the major intention of knowledge management is innovation. In addition,
Carneiro (2000) proposed a conceptual model that links between knowledge management, innovation, and
competitiveness. Carneiro investigates the relationship between knowledge management, levels of innovation and
levels of competitiveness in organizations and highlights the strategic nature of knowledge development. He
suggests that KM positively influences innovation and competitiveness.
Darroch(2005) successful knowledge management acts as a coordinating mechanism to enhance both innovation
and organizational performance . Ju et..al., (2006) argued that in order to get competitive advantage organizations
should continuously learn from outside sources. Through the proper knowledge distribution and sharing,
organizations can bring the innovation. So, organizations must develop such channels within the organizations
through which employees share their knowledge with one another.( Akram et al,2011).
A knowledge management system that expands the creativity envelope is thought to improve the innovation process
through quicker access and movement of new knowledge . Also, effective knowledge management is a critical
success factor when launching new products. In this sense, present paper supports that one of the factors influencing
innovation capacity in organisations is knowledge and its management ( Lopez-Nicolas & Merono-Cerdan,2011).
According to du Plessis (2007), the value proposition of knowledge management in the innovation process is
as follows:
Knowledge management assists in creating tools, platforms and processes for tacit knowledge creation, sharing
and leverage in the organization, which plays an important role in the innovation process;
• Knowledge management assists in converting tacit knowledge to explicit knowledge;
• Knowledge management facilitates collaboration in the innovation process;
Knowledge management ensures the availability and accessibility of both tacit and explicit knowledge used in
the innovation process, using knowledge organization and retrieval skills and tools such as taxonomies;
• Knowledge management ensures the flow of knowledge used in the innovation process;
• Knowledge management provides platforms, tools and processes to ensure integration of an organization’s
knowledge base;
Knowledge management assists in identifying gaps in the knowledge base and provides processes to fill in the
gaps in order to aid innovation;
Knowledge management assists in building competencies required in the innovation process;
• Knowledge management provides organizational context to the body of knowledge in the organization;
• Knowledge management assists in steady growth of the knowledge base through gathering and capturing of
explicit and tacit knowledge;
Knowledge management provides a knowledge-driven culture within which innovation can be incubated.(
Eardley and Uden, 2011, p.305).
8.Conclusions
The continuously increasing pressure of competition and global markets is forcing organizations to become more
innovative, with a view to increasing overall competitiveness. Innovation is one of the major outcome of effective
knowledge management. This study emphasizes the importance of knowledge management and links it with
innovation . The review of the literature has shown there is a clear link between knowledge management and
innovation. Furthermore, knowledge activities like knowledge gathering, managing, sharing, learning, reuse
and retrieval play important role in bringing innovation.
Innovation implies the generation , acceptance, and implementation of new ideas , processes, products, or services.
It is obvious that a knowledge management is closely related to organizational innovation. Many scholars stress the
Applied mathematics in engineering, management and technology 5(1) 2017:68-73
www.amiemt-journal.com
72
importance of such an orientation to enhancing innovation capability. Organizations that rapidly capture and
implement new knowledge across the organization can be able to foster innovation as compared to those
organizations that don’t focus on this aspect.
In order to pace up the innovation process, organizations must implement the innovation determinants which
are actually the cause of innovation. organizations can learn about the positive impact of knowledge management
and knowledge management strategy on innovation.
References
Abraham,M.The point of KM is Innovation.Retrieved May 22, 2008, from://aboveandbeyondkm.blogspot.com/2008/05.
Akram, K., Siddiqui, S.H., Nawaz, M. A., Ghauri, T.A., and Cheema, A. K. H. (2011). “Role of Knowledge Management to
Bring Innovation: An Integrated Approach “, International Bulletin of Business Administration ISSN: 1451-243X Issue 11
(2011) ,P.121-134.
Alavi, M. and Leidner, D.E. (1999), “Knowledge management systems: issues, challenges, and benefits”, Communications of
the Association for Information System , Vol. 1, Article 7.
Amidon, Debra M. (1997) . Innovation strategy for the knowledge economy. Boston: Butterworth-Heinemann, 1997.
Bose, R. (2004). “Knowledge management metrics”, Industrial Management & Data Systems Volume 104 · Number 6 , pp.
457-468.
Brooking, A. (1999). "Corporate Memories, Strategies for Knowledge Management: Thompson Business Press,
London.
Carneiro, A. (2000), ''How does knowledge management influence innovation and competitiveness?'', Journal of Knowledge
Management, 4(2), pp. 87-98.
Darroch, J. (2005), "Knowledge management, innovation and firm performance", Journal of Knowledge Management, 9(3),
pp.101-115.
Damanpour F. (1991). Organizational innovation: a meta-analysis of effects of determinants and moderators”. Acad Manage
;34(3):555 90.
Drucker, P. (1993). Post capitalist society. New York: Harper Business.
Drucker, P. F. (1975). Management, tasks, respon-sibilities, practice. New York: Harper & Row.
du Plessis, M. (2007). The role of knowl-edge management in innovation. Journal of Knowledge Management, 11(4),
2029. doi:10.1108/13673270710762684.
Eardley, A. & Uden, L. (2011). “Innovative Knowledge Management: Concepts for Organizational Creativity and
Collaborative Design”, United States of America, Information Science Reference.
Gloet, M. and Terziovski M. (2004), “Exploring the Relat ionship between Knowledge Management Practices and
Innovation Performances”, Journal of Manufacturing Technology Management, Vol. 15 No. 5, pp.402-409.
Ju, T.L., Li, C.Y. and Lee, T.S. (2006), “A Contingency Model for Knowledge Management Capability and
Innovation”, Industrial Management and Data System, Vol.106 No.6, pp.855-877.
Leal-Rodríguez, A., Leal-Millán, A., Roldán-Salgueiro, J.L., and Ortega-Gutiérrez, J. (2013). “Knowledge Management and
the Effectiveness of Innovation Outcomes: The Role of Cultural Barriers”, Electronic Journal of Knowledge Management
Volume 11 Issue 1, pp. 62-71.
Lopez-Nicolas, C., and Merono-Cerdán, A.L. (2011). “Strategic knowledge management, innovation and performance”,
International Journal of Information Management ,31 , 502509.
Maranville, S (1992). Entrepreneurship in the Business Curriculum, Journal of Education for Business, Vol. 68 No. 1,
pp.27-31.
Massa, S., & Testa, S. (2004). “Innovation or imitation?Benchmarking: a knowledge-management process to innovate
services”, Benchmarking: An International Journal, Vol. 11 No. 6, pp. 610-620.
Nonaka, I. (2007). Strategy as Distributed Phronesis: Knoweldge Creation for the Common Good. Proceedings of the
International Productivity Conference, Bangkok, Thailand “Knowledge Management: From Brain to Business Proceedings”.
Parlby, D., & Taylor, R. (2000). The power of knowledge: A business guide to knowledge man-agement. Retrieved July 10,
from http://www.kpmconsulting.com/index.html/.
Paterson, P. (2013). “Knowledge and innovation-how do they relate?”
https://innovation.govspace.gov.au/2013/05/22/knowledge-and-innovation-how-do-they-relate/.
Polanyi, M. (1958). Personal knowledge; towards a post-critical philosophy. Routledge: London.
Schumpeter, J. (1934). The theory of economic development. Cambridge, MA: Harvard Univer-sity Press.
Applied mathematics in engineering, management and technology 5(1) 2017:68-73
www.amiemt-journal.com
73
Sedziuviene, N., & Vveinhardt, J. (2010). “Competitiveness and Innovations: Role of Knowledge Management at a Knowledge
Organization”, Inzinerine Ekonomika-Engineering Economics, 21(5), 525-536.
Thompson VA. Bureaucracy and innovation. Adm Sci Q 1965;5:1 20.
Tranfield, D., Young, M., Partington, D., Bessant, J. and Sapsed, J. (2003). “knowledge management routines for innovation
projects: developing a hierarchical process model”, International Journal of Innovation Management, Vol. 7, No. 1 , pp. 27
49.
Wiig, K. M. (1993). Knowledge Management Foundations: Thinking about Thinking How People and Organizations Create,
Represent and use Knowledge, Schema Press, Arlington, TX.
Zhu, Z . (2008). Knowledge, knowing, knower: what is to be managed and does it matter?”, Knowledge Management
Research and Practice, 6, 112-123.
... Store knowledge codification of tacit and explicit knowledge helps in making the knowledge understand able and which can be used later on [9]. ...
... The importance of knowledge management and links it with innovation, positive impact of knowledge management and knowledge management strategy on innovation [9]. Knowledge management had positive and significant effect on product innovation [42]. ...
... therefore this result revealed that Sudanese manufacturing firms didn't attention to the storing knowledge. The second hypothesis relationship between knowledge management and radical innovation, previous studies [46,11,52,9,42,25,26] shows that significant positive relationship between knowledge management process and radical innovation. The result of the study shows that knowledge management process is not significant relationship to the radical innovation. ...
Article
Full-text available
The purpose of this study is to examine the mediating role of radical innovation in relationship between knowledge management (acquisition knowledge, sharing knowledge, storing knowledge and application knowledge) and competitive advantage cost in the industrial firms in Sudan. The study administrative the quantitative method where convenience sampling, result based on survey data from 207 managers of manufacturing firms revealed that the components of knowledge management (KM application, KM sharing, acquisition) are significant on the relationship of competitive advantage Cost. In addition Radical innovation is not mediating the relationship between Knowledge management and competitive advantage. The finding revealed that knowledge management process is not significant relationship to the radical innovation.
... Rahimi's Knowledge management is very important to apply in creating innovation (Rahimi et al., 2017). Knowledge management is a system developed by (Darudiato and Setiawan, 2013;Jonsson, 2015;Judrups, 2015). ...
Article
Full-text available
Background: The implementation of discharge planning must be documented completely. Preliminary study found that 90% of discharge planning implementation is not documented. The weakness of the intervention that has been done by previous researchers is that it does not focus on increasing the completeness of documentation, especially on the documentation of discharge planning, the application of discharge planning based on knowledge management SECI model as an intervention applied to improve the completeness of documentation on discharge planning. Objectives: The purpose of this study was to determine the effect of discharge planning based on knowledge management SECI model on the completeness of documentation of discharge planning for tuberculosis. Methods: This research is quantitative research with quasi-experimental approach with post-test only design with nonequivalent control group. The number of samples was 34 medical records with a diagnosis of pulmonary TB, each of which consisted of 17 samples in the control group and 17 samples in the intervention group. The intervention in this research is the implementation of discharge planning based on knowledge management SECI model. The data were taken using the discharge planning SECI model observation sheet and the documentation completeness observation sheet which had been tested by expert and analyzed using the Mann-Whitney test. Results: The results showed p value is 0.000 < 0.05. Conclusion: Application of discharge planning based on knowledge management SECI model has a significant effect on the completeness of documentation of discharge planning for tuberculosis (TB). Nurses must become to manage knowledge, good time management, and be a role model in providing nursing care.
... Modern society is moving towards a knowledge society at a very rapid pace, therefore knowledge is one of the primary sources of competitive advantage for some elements of society (Kefela, 2010). Knowledge management's advantage is facilitating collaboration in the innovation process and identifying gaps between knowledge bases and solutions to fill gaps (Vafaie, 2017). Above all, knowledge management helps develop a knowledge-based culture that encourages innovation (Morina, 2022). ...
Article
This study aims to explore an integrated framework that integrates SECI knowledge management, basic fishing techniques, diversity of ecological knowledge, innovation abilities, fisherman's performance. The research design uses descriptive quantitative research, and the research methodology uses survey research with 150 respondents with purposive sampling in Kupang district, West Nusa Tenggara, which forms the target population. Statistical techniques use confirmatory factor analysis and structural equation modeling (SEM) using SmartPLS4 to test hypotheses. The test revealed a significant increase in the overall score of the trainees and skills. The specific score for the X2 table value was 149.334 compared to the calculated X2 value of 944.501, so the form of this model can be said to be FIT because X2 count X2 table. Furthermore, the value of Adjusted R Square gives a more substantial picture than R Square in assessing the ability of an exogenous construct to explain endogenous constructs, namely BFT_0.788, DEK_0.815, FP_0.636 and IA_0.725. Furthermore, the path coefficient values in this study are FP_ - IA_0.852, IA_ - BFT_0.324, IA_ - DEK_0.525, SKM_ - BFT_ 0.605, SKM_ - DEK_0.423 and SKM_- FP_0.798. From these tests, only BFT and DEK were seen to be less than 0.5. The results show that process knowledge management affects several observational variables, namely organizational knowledge, information management affects the nautical ability, process knowledge management involves Fishing basic techniques, Diversity of ecological expertise, maritime learning through mediators, Information management, and organizational knowledge. Therefore, the application of computer-based SECI knowledge management in this study is said to be significant.
... Hence, knowledgeoriented leadership becomes an asset for the company, which is hard to ignore throughout the innovation process. The concept of such a leader was someone in a position to generate knowledge that could develop and offer new and transformative solutions for society (Vafaie, 2016). By applying their up-to-date knowledge, they can manage to produce unique products and services. ...
Conference Paper
Full-text available
The manufacturing sector is an indispensable part of a country's economic system. For Malaysia, it not only helps in transmuting raw material to finished goods but also an essential driver to the country's economic growth. Owing to this sector, Malaysia holds a remarkable position in exports across the world. It is also a principal contributor to the employment of the country. Although, the manufacturing industry is deemed as the backbone of a country's growth, however, the industry also faces many challenges with technological advancements due to the industrial revolution known as Industry 4.0.The aim of Industry 4.0 is to realize productivity and improve efficiency. Its potential disruptive technologies are altering the way of work. Correspondingly, it poses challenges for organizations to innovate and in analyzing their readiness for Industry 4.0. Thereby, current research aimed to investigate the key role of organization innovation and its enablers including electronic human resource management, knowledge-oriented leadership and decentralized organization structure. In addition, change in demographics has shaped another snag in the form of an aging workforce for manufacturing companies. Ergo, the moderating role of the aging workforce was gauged in support to readiness for Industry 4.0 by using Structural Equation Modelling.A quantitative method was adopted to establish the relationship between the variables. By using self-administered questionnaire, a total of 218 useful responses from manufacturing companies of Malaysia were collected and examined through SmartPLS 3 software. The results highlighted the important dual role of organization innovation for readiness of Industry 4.0. It further confirms the moderating act of aging workforce in relationship between organization innovation and readiness for Industry 4.0.Current research contributed to the body of knowledge a detailed vision of Industry 4.0 and its significance for manufacturing sector in Malaysia. The research findings confirmed a noteworthy knowledge concerning high dependency of readiness for Industry 4.0 on organization innovation and moderating effect of aging workforce between them. Additionally, electronic human resource management and knowledge-oriented leadership were also identified as an enabler of organization innovation through empirical examination. The moderating role of organization innovation is of high interest for keen researchers. Current research provides a directive for practitioners to pave the way for successful implementation of Industry 4.0. Forbye, the research outcomes are thoughtprovoking to national policymakers which can aid in development of impressive policies for Industry 4.0 while considering the vital role of organization innovation and aging workforce.
... Hence, Knowledge Oriented Leadership becomes an asset to an organization, and it is difficult to be substituted during the innovation and improvement process. According to Vafaie (2016), the purpose of innovation is to produce new knowledge to develop and determine the doable solutions for society. Using the knowledge, the leaders can capture, acquire, manage, and diffuse the ideas to produce and deliver distinctive and idiosyncratic solutions, products, and services. ...
Article
Full-text available
The manufacturing sector of Malaysia is an essential part of its economic system. Malaysia holds a remarkable position in the global market through the exports of manufacturing products. However, this sector faces challenges such as organizations’ capability to innovate due to rapid technological and business environment changes in line with Industry 4.0. These challenges may prevent manufacturing firms from embracing Industry 4.0 and thrive in their businesses. Therefore, this research aims to identify the role of organizational practices such as Knowledge Oriented Leadership, Electronic Human Resource Management, and Decentralized Organization Structure in support of Organization Innovation to prepare manufacturing firms for Industry 4.0. A quantitative method was applied to 218 samples collected from Malaysian manufacturing firms. The results of this research are interesting for keen researchers and helpful for decision-makers and practitioners to successfully pave the way for Industry 4.0 implementation in manufacturing firms by developing innovation capabilities.
... Hence, knowledgeoriented leadership becomes an asset for the company, which is hard to ignore throughout the innovation process. The concept of such a leader was someone in a position to generate knowledge that could develop and offer new and transformative solutions for society (Vafaie, 2016). By applying their up-to-date knowledge, they can manage to produce unique products and services. ...
Article
Full-text available
The manufacturing industry is an indispensable part of the economy, especially for Malaysia. The manufacturing sector in Malaysia is not only transforming raw material into products, but also contributing significantly to the country’s economy. Malaysia has attained a significant position in the world by exporting its manufactured goods. However, the production services always require innovation to meet the ever-changing customer demands. With the advent of Industry 4.0, the manufacturing industry faces constant challenges such as the innovation capability of organizations, and swift and frequent shifts in the use of technology. These issues may hamper the efforts of manufacturing firms to fully participate in Industry 4.0 Malaysia. Therefore, the objective of this study is to identify the influence of knowledge-oriented leadership, electronic human resource management (E-HRM), and decentralised organisational structure on organizational innovation. The current research has adopted a quantitative method to establish the relationship between these three variables and innovation in organizations. A total of 218 samples were collected from manufacturing firms located in Malaysia. Data collected through a self-administered questionnaire was examined by using SmartPLS software. The results of this research has added to the body of knowledge in the respective field by highlighting the significance of knowledge-oriented leadership and E-HRM in predicting organizational innovation. It can further help stakeholders to plan a way forward in facing Industry 4.0 through the development of innovation competencies.
... So gilt es als Führungskraft Fingerspitzengefühl zu zeigen.• Innovation Bedarf kein Wissen, sondern Können(Wohland, Huther-Fries, Wiemeyer, & Wilmes, 2004, S. 36 f.), aber ein gutes Wissensmanagement ist notwendig für Innovation(Vafaie, Rahimi, Rostami, & Shad, 2018). Die Basis für Innovationen stellen Menschen dar. ...
Thesis
Hyperwettbewerb und Industrie 4.0 zwingen Unternehmen dazu innovativer zu werden. Hyperscaler wie Google und Amazon fordern etablierte Unternehmen verschiedenster Branchen heraus. Die Innovationskraft ist nur indirekt Beeinflussbar, was Unternehmen vor eine komplexe Aufgabe stellt. Bewältigt werden kann die Transformation hin zu einem innovativeren Unternehmen, über den in dieser Thesis geschilderten Framework. In 5 Phasen und anhand von 6 verschiedenen Maßnahmen-Kategorien zur Innovationsorganisation.
... Pervious scholars have showed that successful application of knowledge management (Rose et al, 2017), (Mohammed et al, 2017), . In contrast, there are limited studies which addressed the knowledge management and relationship innovation capabilities (Eugenie et al, 2016), (Ebrahim et al, 2017), (Marianne and Danny, 2017), (Dinesh et al, 2017), (Maleeha and Tayyab, 2016), the previous studies used innovation capabilities as two dimensions, (Vafaeid et al, 2017) and others researchers used three dimensions (Titus et al, 2017, Maleeha, 2016. In this study used innovation capabilities as two dimensions namely: radical innovation and incremental innovation. ...
Article
Full-text available
The purpose of this study is to explore the relationship between knowledge management processes (knowledge acquisition, knowledge sharing, and knowledge storing and knowledge application) and innovation capabilities (incremental and radical) in the industrial sector in Sudan. The study employed the quantitative method via convenience sampling; the population was the 208 managers of the industrial firm response rate of 90 percent. Data from the study were collected analyzed using descriptive statistics, person correlation and path analysis through using SPSS version 23, analysis of moments of structure version 25 in Structural Equation Modeling demonstrates some empirical supports to the model of this study. The result of this study revealed that only knowledge application was found positive and significant predictor on incremental innovation, knowledge management (acquisition, sharing, storing) is not significant to innovation capabilities.this study focuses only on the service sector. Also, the data were only collected from single respondents in an organization
Article
Full-text available
Globalization and innovative upsets have changed the contemporary economy into what is known as a "knowledge economy". In this economy, the business world is administered by another type of associations and business, and this new structure requests the quick advancement of abilities and centered information, just as duty. Subsequently, the objective of the new type of business will be for the contemporary society to turn into an informed society, ready to adjust to the new changes. In the course of recent many years, various researchers and observers have contended that the main edge of the economy in created nations has been driven by advancements dependent on the creation and scattering of knowledge and data. Also, these new advancements-which showed up in the late fifties of the only remaining century, which extended with the spread of PCs, and afterward rose drastically with the broad utilization of email and the Internet-can possibly reshape the idea of business and the economy, as the suggestions stressed the part of colleges in building and building up the knowledge economy by focusing on the learning framework, notwithstanding supporting and empowering imaginative and creative thoughts inside associations. This paper deals with the concept of knowledge economy, its historical stages, the requirements for establishing a new type of economy today, as well as going through the justifications for the shift towards a knowledge economy, the role of knowledge management in that transformation and some indicators of the Iraqi knowledge economy.
Article
Full-text available
Purpose: The basic objective of the study is to reconcile the literature on knowledge management and innovation in organizations. The study seeks to examine and elaborate the linkage between knowledge management process and innovation process to dig out the important relationships and flows of activities. Design/Methodology/Approach: The study is induced using qualitative methodology. The relationships postulated and the propositions made are based on the reconciliation of secondary data on the study variables. Theoretical relationships are enriched by the conclusions drawn from a keen literature review. Findings: By studying several empirical and conceptual studies, we find that different components of Knowledge Management as Knowledge activities, Knowledge types, the transformation of knowledge and technology have a significant positive effect in bringing innovation through the transformation of knowledge into knowledge assets in organizations. Originality / Value: This article enlightens the ways through which innovation can be brought in organizations. The innovative aspect of this study is that all knowledge management activities are incorporated simultaneously to examine their impact on innovation. Moreover, this article will be important for decision makers, researchers, and practitioners.
Article
Full-text available
In this paper we use the literature on knowledge management and innovation, together with empirical data, to develop a process model for knowledge management routines in the context of innovation projects. First we develop a high-level conceptualisation from the literature, the model characterising knowledge management as consisting of three distinct phases: Discovery, Realisation and Nurture. We then expand this three phase perspective into a model of generic knowledge management routines, reporting four contrasting, exemplar cases from a wide ranging study across business sectors. Using the notions of radical and incremental innovation in both products and processes we illustrate how the three high-level phases may be further expanded into a more detailed conceptualisation of the knowledge management process. This comprises eight generic routines: Search, Capture, Articulate, Contextualise, Apply, Evaluate, Support and Re-innovate. We derive a new description of knowledge management and discuss the practical implications of the model, including the opportunities which exist for cross-sector learning between organisations which are superficially dissimilar. We conclude that the successful management of organisational knowledge in the context of innovation requires attention to be paid to all eight generic routines and to the influence of enablers and blockers operating both inside and outside the framework of routines.
Article
The abstract for this document is available on CSA Illumina.To view the Abstract, click the Abstract button above the document title.
Article
The relationship between bureaucratic structure and innovative behavior is examined by comparing the conditions within the bureaucratic structure with the conditions found by psychologists to be most conducive to individual creativity. The conditions within bureaucracy are found to be determined by a drive for productivity and control, and inappropriate for creativity. Suggestions are made for alterations in bureaucratic structure to increase innovativeness, such as, increased professionalization, a looser and more untidy structure, decentralization, freer communications, project organization when possible, rotation of assignments, greater reliance on group processes, attempts at continual restructuring, modification of the incentive system, and changes in many management practices. It is suggested that bureaucratic organizations are actually evolving in this direction.
Article
Is concerned with human value management, examines the relationships between organizations' competitiveness, innovation advancements, and knowledge management and presents a set of considerations regarding how these relationships affect strategic management and the formulation of competitive strategies. By considering how knowledge development is related with personal characteristics and personal development, this article attempts to provide useful insights on the linkages between innovation and competitiveness. These considerations point out the importance of knowledge development and the role of knowledge management in order to assure competitiveness. This work proposes also a conceptual model, with special focus on the relationships between knowledge management, competitiveness, and innovation. The major factors are presented and directions for future research are suggested according to the proposed model.