Dec
26
2010
8

CORE PROCESS NUCOR CORPORATION

  1. Membuat baja dengan berbagai macam bentuk dan ketebalan.
  2. Memproduksi baja dengan biaya relatif rendah.
  3. Memperluas jaringan Nucor di seluruh dunia.
  4. Memelihara hubungan dan kinerja karyawan Nucor.

Knowledge Identification Nucor Corporation

STRUCTURAL KNOWLEDGE NUCOR CORPORATION

  1. 3 Layer Management pada struktur organisasi Nucor (general manager,departmentmanagement,supervisor)                                                   -> CORE PROCESS 4   &  Digunakan oleh seluruh bagian perusahaan untuk berbagai kepentingan.
  2. Standar membuat baja dengan berbagai macam Kriteria ketebalan.          -> CORE PROCESS  1 & Digunakan bagian produksi untuk produksi baja
  3. Standar komposisi pembuatan baja seperti raw steel.                                  -> CORE PROCESS 1 &2  serta Digunakan oleh bagian produksi untuk produksi baja
  4. Standar produksi dalam proses produksi.                                                              -> CORE PROCESS 1 &2 serta Digunakan oleh bagian produksi untuk pedoman produksi
  5. Empat basis kompensasi yang mengcover seluruh karyawan Nucor.       — > COREPROCESS 4 & Digunakan oleh bagian HRD untuk mengatur kepentingan karyawan

KNOWLEDGE OPERATIONAL NUCOR CORPORATION

  1. Tata cara serta tips and trick penggunaan Electric arc Furnace dalam produksi baja.                                                                                                                 -> CORE PROCESS 1 & 2   -> Digunakan oleh bagian produksi untuk proses produksi.
  2. Tata cara atau trik mengaplikasikan komposisi pembuatan raw steel.   -> CORE PROCESS 1 & 2    -> Digunakan oleh bagian produksi untuk proses produksi.
  3. Objek-objek penjualan Nucor dalam penjualan produknya.                       -> CORE PROCESS 3     -> Digunakan oleh bagian marketing untuk proses penjualan.
  4. Strategi akuisisi Nucor dari tahun 2001 – 2007.                                           -> CORE PROCESS 3   -> Digunakan oleh management untuk proses akuisisi.
  5. step-step Nucor dalam investasi modal dan menjaga produksinya dengan prinsip efisiensi.    -> CORE PROCESS 2                                                -> Digunakan oleh management untuk meningkatkan kinerja Nucor.

KNOWLEDGE BEHAVIOUR NUCOR CORPORATION

  1. Incentive Plan bagi karyawan dari Nucor Management untuk mencegah sikap pilih kasih.    -> CORE PROCESS 4  -> Digunakan oleh bagian HRD untuk pengaturan karyawan.
  2. Program fringe benefit untuk karyawan Nucor.                                               -> CORE PROCESS 4    -> Digunakan oleh bagian HRD untuk pengaturan karyawan.
  3. Program “From Employee to Employee” di mana Ide karyawan yang selalu disalurkan untuk kepentingan Nucor seperti produksi dan lainnya.   -> CORE PROCESS 4    -> Digunakan oleh bagian HRD untuk pengaturan karyawan.
  4. Tanggung jawab karyawan untuk menjaga informasi yang dipercayakan Nucor atau pelanggan.    -> CORE PROCESS 4                       -> Digunakan oleh semua bagian yang menjadi karyawan Nucor.
  5. Kebiasaan melapor kepada atasan yang dilakukan karyawan jika terjadi pelanggaran akan rules yang ada.    -> CORE PROCESS 4                             -> Digunakan oleh semua bagian yang menjadi karyawan Nucor.
Written by erich fernando usman in: Tugas - tugas kelompok 8 KM |
Dec
26
2010
5

KNOWLEDGE GOALS NUCOR CORPORATION

Strategic Knowledge Goal

  1. Nucor tetap menjadi perusahaan yang memproduksi baja dengan metode low cost.
  2. Nucor terus menjadi supplier tetap bagi para pelanggannya.
  3. Nucor menjadi perusahaan yang paling berkompetitif di bidangnya / Market Leader.
  4. Nucor menjadi supplier bagi seluruh industri di seluruh dunia.
  5. Nucor menjadi perusahaan baja yang memberikan service terbaik kepada pelanggannya.

Normative Knowledge Goal

  1. Inovasi yang terus berdatangan dari ide karyawan.
  2. Terjadi hubungan komunikasi yang intensive dan baik antar karyawan baik atasan maupun bawahan.
  3. Karyawan terus bisa peka terhadap informasi sekitar.
  4. Karyawan mampu menjaga integritasnya dan tanggung jawabnya di perusahaan.
  5. Karyawan lebih disiplin terhadap rules yang ada di perusahaan.

Operational Knowledge Goal

  1. Produk dihasilkan dengan jumlah relatif lebih banyak dan murah dalam waktu singkat.
  2. Customer service dapat melayani pelanggan dengan lebih baik.
  3. Problem yang terjadi dalam perusahaan khususnya karyawan akan lebih cepat di atasi.
  4. Meningkatkan penjualan dengan objective yang jelas.
  5. Problem yang terjadi di bagian produksi dapat mudah teratasi.
Written by erich fernando usman in: Tugas - tugas kelompok 8 KM |
Dec
23
2010
0

The Role of the Chief Knowledge Officer in organisations

A Glimpse at the Chief Knowledge Officer

In many organisations, a new position has emerged in recent years that will significantly affect the knowledge management activities in the firm. The title of this position is the Chief Knowledge Officer (CKO). Many of the Fortune 500 companies already have a Chief Knowledge Officer or knowledge management teams in place. The CKO has also been referred to as the Director of Competitive Learning, Chief Learning Officer, VP of Learning, Director of Organisational Learning, Knowledge Management Director, Knowledge Strategies Director, Director of Intangible Assets, Corporate Director of Intellectual Capital, and Head of Knowledge Management Development.

The CKO, according to TFPL, Inc. (an international consulting firm that conducts CKO Summits), acts in four ways [TFPL, 2002]: first, as a “cartographer” in mapping expertise and making connections; second, as a “geologist” in drilling into specific areas and applying tools; third, as a “spark plug” in igniting an awareness of the need to change; and last, as an “architect” in designing the physical and cultural environment. The typical CKO finds a means to utilise corporate knowledge to help corporate growth, understands the skills and competencies of knowledge teams, creates powerful corporate cultures that recognize common values, enables the effective flow of information, and communicates the meaning of information and knowledge.

The CKO has to win cooperation and “buy-in” from all levels of the organisation; must identify and utilise a diverse set of skills and expertise; and demonstrate the value of knowledge management (KM) to the business. In many organisations, like The World Bank in Washington, D.C., the Chairman of The World Bank has made knowledge management part of its strategic mission. As such, knowledge management activities like capturing and putting knowledge on-line as global help desks, and developing and nurturing online communities of practice (called thematic groups at The World Bank) are being conducted.

According to Tom Davenport, of Accenture and Babson College, the CKO [Davenport and Prusak, 1998]:

  • Must be an advocate or evangelist for knowledge and learning;
  • Is the designer, implementer, and overseer of an organisation’s knowledge infrastructure, including its libraries, knowledge bases, human resources, computer knowledge networks, research centres, and academic relationships;
  • Is the primary liaison between external providers of information and knowledge;
  • Provides critical input into the creation of knowledge and uses processes that already exist within the company, such as product development;
  • Plays a leading role in the design and implementation of a company’s knowledge architectures;
  • Has deep experience in some aspect of knowledge management, including its creation, dissemination, or application;
  • Has familiarity with knowledge-oriented companies and technologies, such as libraries and groupware;
  • Has the ability to set a good example by displaying a high level of “knowledge ability” and success.

The CKO assumes responsibility for knowledge and unstructured information and is in charge of managing those assets. These assets are often referred to as “intellectual capital”, “knowledge assets”, or “intangible assets”.

Robert Neilson, from the National Defence University who chairs the Role of the CKO Working Group for the US Federal CIO Council’s Subcommittee on Knowledge Management [http:www.krn.gov] believes that the following competencies make a successful CKO – communications (storyteller—avid communicator), strategic thinking, tools and technology, personal behaviour, personal knowledge and cognitive capability, and leadership and management. Specifically, he feels that a CKO must have passion, patience, persistence, sensitivity, organisational savvy, intelligence, wisdom, life long learning capabilities, depth and breadth of knowledge, and be thick skinned and an integrator. The CKO typically measures outcomes, promotes best practices and processes, creates a knowledge-sharing culture, champions communities of practice, uses incentives and rewards, provides tools and technology, champions education, creates and uses taxonomy (common language), secures resources, and provides leadership and strategy.

Michael Earl (1999) of the London Business School performed a study to examine what is a CKO. Some of his findings indicated that those CKOs who emphasised explicit knowledge tended to promote the use of technology to enable knowledge distribution and sharing. Those CKOs who emphasised tacit or implicit knowledge spent a great deal of their time enabling, facilitating, and promoting informal dialogues. Richard Herschel and Hamid Nemati (1999) at the University of North Carolina-Greensboro concurred with these findings.

Bob Guns of Probe Consulting and Price Waterhouse Coopers, studied 52 of the top CKOs in the US (Daffy, 1998) and found that CKO’s generally had a broad base of experience within a business, and most had experience in a wide range of functions. The ability to withstand a myriad of pressures was generally acknowledged as an important trait among the CKOs. This study had similar results to Earl’s work and showed that the CKOs have strong nurturing qualities and are “influencers”. David Skyrme Associates (1997) that CKOs are good at conceptual thinking, advocacy, project and people management, communications, leadership, team working, influencing, and interpersonal skills.

The CKO Summit

TFPL, Inc. has organised several CKO Summits whereby Chief Knowledge Officers are typically invited for conversations and discussions over a two day period to share their experiences of knowledge management. One of the CKO Summits was held in October 2000 in Dublin and had CKO from ABN Amro Bank (Netherlands), the Boston Consulting Group (USA), British Telecom (UK), Clarica Life Insurance (Canada), Deloitte & Touche (USA), Ericsson (Sweden), Fortune (USA), ICL (UK), Johnson and Johnson (USA), KPMG International (USA), Linklaters & Alliance (UK), Morgan Stanley Dean Witter (USA), Motorola (USA), Nestle (Switzerland), Pfizer (UK), Philips Electronics (Netherlands), and Siemens (Germany). This Summit, along with the previous CKO Summit, produced the following results [TFPL, 2000]:

  • Knowledge strategies influence future business strategy direction;
  • Knowledge initiatives need to be integrated into business processes and embedded into workflows;
  • The central knowledge team is increasingly seen as the catalyst and facilitator;
  • Core competencies required throughout the company need to be changed to reflect a knowledge sharing activity among their core areas;
  • A shift from employment to employability and portfolio careers has resulted and knowledge initiatives need to support this trend;
  • New drivers and justifications are emerging for knowledge strategies (e.g., to support other corporate initiatives like e-business);
  • A clear recognition exists for the need to identify tools and techniques that enable people to navigate through vast repositories (i.e., content management is a significant issue);
  • Synergies should exist between knowledge and learning initiatives and the two areas should benefit from each other;
  • Measurement is still a major issue to further convince senior management of the benefits of knowledge management;
  • Knowledge management is more about flows of knowledge rather than stocks of knowledge;
  • Culture realignment is the key challenge; and
  • Functional silos (such as IT, HR) present barriers to implementing KM – they need to be more integrated together.

Where should the CKO position be placed in the organisation? Some organisations have placed the CKO within the information systems or human resources departments. Others have positioned the CKO comparable to a VP position or a staff position reporting directly to the CEO. In order for knowledge management to succeed, the CKO should be placed in a position that commands authority and responsibility in the upper echelon of management. Since knowledge management is typically a “strategic” function. Of course, the overriding consideration is that the knowledge management activities put into place should blend in well with the organisation’s corporate culture.

Why is a CKO needed in an organisation? In the same manner that the University of California at Berkeley has established a Professorship of Knowledge, organisations should also realise the strategic importance of knowledge as the competitive edge for their organisation. This is happening by means of creation of CKO positions and company resources being expended towards developing knowledge management systems in the organisation. Knowledge management involves creating, securing, combining, distributing, and retrieving knowledge. Being able to develop and maintain the knowledge repositories in the organisation, as part of these knowledge management systems is a critical element, which needs to be coordinated (and possibly managed) by the CKO and his/her staff. The CKO also needs to work closely with the human resources managers to ensure that incentives and other forms of encouragement are provided to employees to stimulate their knowledge sharing.

The CKO Job Description

To help understand the role of a CKO a knowledge profile or job description for the CKO may be illuminating. Appendix 1 at the end of the paper illustrates the duties and responsibilities of CKOs in the General Services Administration and the US Navy [http://www.km.gov].

According to TFPL Inc. [2000, 2002], the CKO should lead in the development of corporate culture, processes, infrastructure and information resources to facilitate the creation and utilisation of corporate knowledge, expertise, and information to create competitive advantage and support creativity.

The CKO and the CIO: Should They Be the Same?

A number of organisations feel that their Chief Information Officer (CIO) can handle the duties of a Chief Knowledge Officer (CKO). This belief is probably the wrong approach for a number of reasons. First, the CIO typically has a technology-oriented focus and may develop a knowledge management strategy that concentrates mostly on technology, rather than on the people and culture aspects of knowledge management. Second, the CKO needs to possess a different skill set than the typical CIO. Michael Earl’s (1999) study of twenty CKOs in North America and Europe, found that CKOs have distinct functions that are different from those of CIOs. The CIO is typically involved with IT strategy, IT operations, and managing the IT function, and has not taken on the full range of knowledge management activities. Earl’s study of CKOs found that the CKO typically has a breadth of career experience and familiarity with the organisation, is a good influencer, highly motivated, even tempered, deals with stress well, is extroverted, and can vary his/her behaviours to meet the demands of a situation, is social, goal oriented and interested in change. Last, the CIO typically has a large staff whereas the CKO normally has small staff of 3-12 people working mainly as specialist consultants.

The CIO’s role, however, has been changing somewhat over the years. In a survey of 340 CIOs in the U.S., England, Germany, and France conducted by Korn/Ferry, The Financial Times, and the CIO Executive Research Centre, the following key trends were uncovered:

  • The role of the CIO is moving from technical planning and implementation to strategic planning.
  • The CIO’s ideal resume will include both technical/engineering qualifications, plus a back ground in finance, marketing, and strategic planning.
  • The CIO will become increasingly involved with external as well as internal customer support.
  • There needs improvement in communication between the CIO and senior policy makers in the organisation.

In some organisations, like the General Services Administration (GSA) in the US government, some CIOs have successfully transitioned into the role of CKOs. Dr. Shereen Remez, GSA’s CIO, was selected to be the agency’s first CKO. She now serves as the CKO at the American Association for Retired Persons. According to Federal Computer Week (June 14, 1999), Dr. Remez as CKO is responsible for leading the agency’s use of knowledge management practices. However, Dr. Remez had a unique set of skills that vary from the typical CIO, a Ph.D. in the human resources/education area, which made her a perfect fit for a CKO.

Davenport (1996) believes that CKOs have three critical responsibilities – creating a knowledge management infrastructure, building a knowledge culture, and making it all pay off economically. A good CKO should combine an orientation to structured, explicit knowledge with an intuitive feel for the influence of cultural and behavioural factors on the leveraging of knowledge in an enterprise.

John Sviokla (2001) of Diamond Cluster International suggested that CIOs must redefine knowledge management in terms that focus on what is most valuable to a business. He stated the CIO needs to focus the knowledge management people on the goal of lowering asset intensity and improving the cash collection cycle. In the same issue of CIO Magazine, the CIO for Warner Music Group, Jim Noble, suggested that a CIO needs to connect with everyone and adds that the CIO has to engage the “hearts and minds” of the executive team. Mony Group’s CIO, E.P. Rogers, indicates that his role as ClO has changed over the years. He used to spend 90 percent of his time on IT, but today he probably spends 80 percent of his time on corporate business projects. He adds that with new technologies, new skills, and a more collaborative style, IS has evolved into an organisation much more attuned to the business. EDS’ CIO, Terry Milholland, says that there are higher expectations from business leaders – they have to react in days not months!

Tom Koulopoulos, President of The Delphi Group, feels that the primary purpose of having someone in charge of leveraging knowledge inside an organisation is to search for opportunities (Brown, 1999). Koulopoulos indicates that the best CKOs, no matter what they’re called, are “nomads” or “bounty hunters”, browsing the entire company searching for opportunities. A knowledge leader, like the CKO, must also be adept at traversing the information technology communities, which are part of the corporation, and must understand the basic principles behind intellectual capital. Koulopoulos points out that the critical success factor for a CKO is being incredibly competent and serving as a conduit or “super facilitator” for creating knowledge, not merely acting as “knowledge czars”.

Ogden Forbes, who has served as Chief Knowledge and Research Officer at shopping.com, indicates that “CIOs are charged with implementing technology; I assist them as the eyes and ears of what strategies to follow while they also remind me of what can be done” (Carrillo, 1997). According to Wayne Toms of the Delphi Consulting Group, the CKO’s role is expected to grow, because companies are focusing more on employees than on technology. David Jones of Xerox says that the CKO’s role is mostly concerned with cultural change.

Weinstein (1998), a Knowledge Officer of an online retail store, described his job as increasing the knowledge base of the company’s workers so that better decisions are made and assisting the ClO in implementing technology. Additionally, the CKO may also be in charge of managing intellectual property. Typically the CKO should have a broad mix of personal, corporate, and technical skills. Sue Gilly, the Chief Knowledge Officer at Cavanaugh Leahy & Company, feels that the core of her work as CKO is how people collaborate and learn.

So the question remains – can a CIO be the CKO in most organisations? In the view of this author, these two positions should be separate unless the organisation has an exceptional individual with the necessary skill sets for serving as both CIO and CKO. The two positions should be closely aligned; however, if knowledge management is to fruly succeed, and a CKO should be appointed in the organisation to develop and implement a knowledge management strategy in the organisation and to spearhead these knowledge management initiatives.

Developing Knowledge Sharing Proficiencies

One of the basic tenets of knowledge management is to build a supportive culture for knowledge sharing (Liebowitz, 2000; Liebowitz, 2001; Liebowitz & Chen, 2001). The adage “knowledge is power” needs to be replaced by the motto “sharing knowledge is power” for organisations to truly maximise their intellectual capital (Neches et al., 1991). Very little research in the knowledge management field has focused on determining how effective knowledge sharing is occurring in organisations. As organisations start to incorporate learning and knowledge sharing proficiencies as part of their annual job performance evaluations (The World Bank, Gemini Consulting, and Accenture), it becomes necessary to establish criteria for such proficiencies or competencies and then to measure how well people are doing with respect to these knowledge sharing factors.

Companies are already realising that knowledge sharing gives them their competitive edge by leading to accelerated learning and innovation (Hickins, 1999). Xerox’s reputation as a leading knowledge company has been built on a strong knowledge sharing culture (Hickins, 1999). Xerox claims that knowledge sharing is going to become part of a fabric inside the company for all employees. Similarly, Dow Corning has expressed its commitment to team building and knowledge sharing. At Dow Corning Europe there are various professional clubs that share common aims such as to improve the understanding of fundamental concepts, raise awareness of techniques available in Dow Corning and elsewhere; to learn by example how to interpret the results of measurements and relate them to applications; to identify gaps in Dow’s overall understanding and to formulate ways to fill those gaps, share experiences, problems, failures, successes, provide a forum for the peer review of ideas, theories, and the interpretation of test data (Easton & Parbhoo, 1998). Lockheed-Martin’s, key to knowledge sharing is matching the type of knowledge with the right transfer method (Dixon, 2000). Three factors – whether the task is routine or non routine; whether the knowledge related to it is tacit or explicit; and the similarity between the originator and the receiver of the information – determine the method through which the knowledge can be most effectively transferred (Dixon, 2000).

To help build a knowledge sharing culture, various knowledge sharing proficiencies should be developed and integrated into the performance system of the organisation. A number of organisations like CapitalWorks in Williamstown (Massachusetts) have developed learning effectiveness inventories, since learning is at the core of human capital performance and knowledge creation in the new economy. CapitalWorks, for example, has a Learning Value Analysis where learning is assessed across multiple dimensions by the indicators:

  • Operating performance (economics, productivity, human capital)
  • Knowledge performance (applied knowledge, knowledge creation, social capital)
  • Learning performance (portfolio composition, organisational dynamics, individual dynamics)
  • Organisational performance (social practice, workplace dynamics, critical behaviours, job dimensions)
  • Strategic performance (alignment objectives, economic objectives, and human capital objectives).

Other organisations like Human Synergistic and the Centre for Applied Research Inc. have developed an Organisational Effectiveness Inventory to provide information about itself, its effectiveness, and its impact on members.

In order to create knowledge sharing roles and a nurturing knowledge management culture, the American Society for Interior Designers under the Chief Knowledge Leader, Dr. Michael Berens, has worked on various knowledge competencies with Jay Liebowitz as applied to ASID.

Other possible knowledge sharing proficiencies could include:

  • The number of new colleague-to-colleague and member relationships spawned;
  • The reuse rate of “frequently accessed/reused” knowledge;
  • The number of key concepts that are converted from tacit to explicit knowledge in the knowledge repositories and
  • Used by staff and members;
  • The dissemination of knowledge sharing (i.e., distribution of knowledge) to appropriate individuals; the number of new ideas generating innovative products or services; and
  • The number and quality of lessons learned and proven practices applied to create value-added; the number of “apprentices” that one mentors, and the success of those apprentices as they mature in the organisation.

Building High Performance Organisations Through Knowledge Management

Organisations are engaging in knowledge management for a number of key reasons: to increase innovation and creativity; to better leverage knowledge internally and externally for improved worker productivity and customer relations; to capture and preserve knowledge for building the institutional memory of the organisation; and to improve efficiency and effectiveness of decision making. If an organisation is to be high performance organisation, knowledge management plays a critical role in transforming it into a well oiled, thriving business.

What does it mean to be high performance mean? Many analysts feel that an organisation needs to be quickly adaptable to changes in the marketplace, and knowledge management offers a way to do this. According to Lawton (2001), knowledge management’s key underpinning technologies enable content and workflow management which categorize knowledge and direct it to workers who can benefit from it; search functionality, to let users look for relevant knowledge; and collaboration, to help workers share knowledge. Through the use of “intelligent” agents, knowledge management systems should be able to push relevant lessons learned to appropriate individuals in the organisation who can best benefit from them in order to build the organisational intelligence of the firm. “Data and text mining” can also be used to develop user profiles to push relevant information and knowledge from repositories to employees and customers.

High-performance organisations generally have a high organisational intelligence. Liebowitz (1999, 2000) views organisational intelligence as the collection of all intelligence that contributes toward building a shared vision, a renewal process, and a direction for the entity. Organisational intelligence involves the following knowledge functions – transforming information into knowledge; identifying and verifying knowledge; capturing and securing knowledge; organizing knowledge; retrieving and applying knowledge; combining knowledge; creating knowledge; learning knowledge; and distributing/selling knowledge.

In order to promote and build a high performance organisation, knowledge exchange a basic tenet of knowledge management is a critical element. In some interesting work on electronic communities of practice McClure-Wasko and Faraj (2000), found that for increasing knowledge exchange, organisations should consider using knowledge management systems that connect members to open-membership electronic communities of practice, and that organisations should establish a cultural norm that encourages people to participate and share knowledge by acknowledging the reputation and status of organisational members actively engaged in their electronic community. They found that extrinsic (versus intrinsic) reward systems may not be the best approach to use for increasing knowledge exchange but rather that, successful communities have members that act out of community interest (intrinsic value) rather than self-interest (extrinsic rewards promote self interest). Increased knowledge exchanges hopefully leads to increased knowledge flows and innovation within the community and the organisation.

Ryder System Inc., the transportation and logistics firm based in Miami, has developed a knowledge centre using Lotus Notes, QuickPlace, Same-time, and Prevail Solutions Suite. According to Knowledge Management (2000), the Ryder executives and others in the organisation have embraced knowledge management and the knowledge centre supports various internal communities and provides a way to produce better and quicker business proposals. This type of knowledge management activity helps in having Ryder as a high performance organisation.

If organisations are to be adaptable, flexible, and innovative, knowledge management needs to be an essential part of the organisation’s strategy. In today’s rapidly changing and competitive environment, those organisations that are high performance are most likely the ones that will survive. Creating knowledge through knowledge management initiatives will help to produce high performance organisations, and the “double-loop” learning effect should increase an organisation’s innovation and adaptability.

What’s Beyond Knowledge Management?

Authors such as Davenport and Beck (2001) have indicated that “attention management” will compliment knowledge management, involving the application of intelligent agents and other software programming techniques to browse and prioritise the CEO’s daily email, news, voice mail, and digitised documentation and to determine what should attract their attention. Others indicate that E-CRM (Electronic-Customer Relations Management), E-Business, and specialised niche markets will continue to grow in emphasis and usage by businesses, and will be the prevailing trend after knowledge management. Others predict that wireless communications and mobile computing will dominate applications in the business world beyond knowledge management. Still others predict that hard coding ‘knowledge on chips’ will be commonplace in the years ahead. Certainly, improved user interfaces to knowledge management systems, such as through speech and natural language understanding, will be developed in the near term to enhance the collection, access, and usage of these systems.

If these predictions come true, how should businesses better position themselves to compete in the marketplace beyond knowledge management? First, in the same vein as using knowledge management to better leverage knowledge internally and externally, companies will probably need to merge and acquire other companies in related businesses to leverage their know how and create new products and services. Synergy will ensure that the whole is greater than the sum of the parts. Namely, taking the best from complementary businesses will hopefully produce more competitive products or services, and should also stimulate creativity and innovation.

Second, companies should take advantage of developing, selling, or buying “knowledge full” products. These types of products will capture the expertise and experience of a company’s knowledgeable employees and encode this knowledge in the forms of web based and intranet based expert systems, hard coded “knowledge” chips, or in wireless knowledge repositories. In this manner, the institutional memory of the organisation can be built as critical, core competency knowledge and expertise are preserved.

Third, developing niche markets in the Internet and e-business age will offer new opportunities, especially for dot.com companies. Whether developing intelligent agents to profile customers and to push relevant information to them or to create online “community” software or the like, businesses in the coming years will continue to find new ways of improving existing processes.

Last, companies will need to get the products to market even faster via the internet age. Product development times and entry-to-market times will be greatly reduced in order for companies to maintain their competitive edge. In all these areas, knowledge management and the CKO can greatly move the organisation towards being a “high performance, knowledge organisation.”

SOURCE : rphrm.curtin.edu.au/2002/issue2/knowledge.html

Written by erich fernando usman in: Artikel KM |
Dec
23
2010
0

Knowledge management strategies that create value

A firm that had invested millions of dollars in a state-of-the-art intranet intended to improve knowledge sharing got some bad news: Employees were using it most often to retrieve the daily menu from the company cafeteria. The system was barely used in day-to-day business activities.

Few executives would argue with the premise that knowledge management is critical—but few know precisely what to do about it. There are numerous examples of knowledge-management programs intended to improve innovation, responsiveness and adaptability that fall short of expectations. Researchers at the Accenture Institute for Strategic Change have been exploring the roots of the problem and have developed a method to help executives make effective knowledge management a reality in their organizations.

Much of the problem with knowledge management today lies in the way the subject has been approached by vendors and the press. Knowledge management is still a relatively young field, with new concepts emerging constantly. Often, it is portrayed simplistically; discussions typically revolve around blanket principles that are intended to work across the organization. For example, companies are urged to emulate knowledge-management leaders such as British Petroleum and Skandia. And most knowledge-management initiatives have focused almost entirely on changes in tools and technologies, such as intranets and Lotus Notes.

These approaches have little relevance for executives contending with the day-to-day reality of running a company. Knowledge management is complex and multifaceted; it encompasses everything the organization does to make knowledge available to the business, such as embedding key information in systems and processes, applying incentives to motivate employees and forging alliances to infuse the business with new knowledge. Effective knowledge management requires a combination of many organizational elements—technology, human resource practices, organizational structure and culture—in order to ensure that the right knowledge is brought to bear at the right time.

Many companies have implemented sophisticated intranets, common repositories and other systems, largely ignoring the complex cultural issues that influence the way people behave around knowledge. By and large, those companies have seen little improvement in their ability to manage knowledge. Too often, companies implement state-of-the-art technology and then discover that culture and behavior are slow to change.

In short, simplistic solutions and “one-size-fits-all” approaches leave executives with little in the way of practical advice about how to transform the entire knowledge-management system. What’s more, this fuzziness makes it difficult for executives to see a clear link between their knowledge-management investments and business value.

To help executives, the Institute has developed a framework that associates specific knowledge-management strategies with specific challenges that companies face. This Knowledge Management Framework is based on the premise that the focus should be placed on the way knowledge is used to build the critical capabilities a company needs in order to succeed—on the core processes and activities that enable it to compete. Enhancing a bank’s know-how in evaluating credit risk, for example, should result in reduced loan losses; improving a consumer products company’s understanding of customer preferences should increase its percentage of successful new products.

The framework begins by assessing and categorizing the way work is done in the core process. Work can be evaluated along two dimensions. First is the level of interdependence involved—that is, the degree to which individuals and organizations need to collaborate and interact. Second is the complexity of work involved—the degree to which employees need to apply their judgment and interpret a variety of information. Using these two factors, the Institute has identified four distinct categories of work, or “work models”:

  • Transaction model, in which there is a low degree of both interdependence and complexity. Work is typically routine, highly reliant on formal rules, procedures and training, and depends on a workforce that exercises little discretion.
  • Integration model, in which there is a high degree of interdependence and a low degree of complexity. Work is systematic and repeatable, relies on formal processes, methodologies and standards, and depends on tight integration across functional boundaries.
  • Expert model, in which there is low interdependence and high complexity. Work requires judgment and is dependent on “star performers.”
  • Collaboration model, in which there is a high degree of both interdependence and complexity. Work involves improvisation and learning by doing, and relies on deep expertise across functions and the use of flexible teams.

Key to Understanding

In general, a given core process can be mapped to one of these four categories. For example, supply-chain management and procurement tend to fit into the integration model; the work in these processes is often routine, and activities generally span multiple functions and organizations. In comparison, marketing and financial management tend to be expert model work, requiring individuals in one functional area to apply their judgment to solve unanticipated problems.

However, it is important to note that there are no hard-and-fast connections between a certain core process and a work model, because the same process can be performed in different ways. Sales, for example, can refer to individuals covering their respective territories (expert model) or to a supplier’s multifunctional team working closely with a customer to maintain retail inventories (integration model). So the key is to understand how work is performed; it is the nature of the work that determines the appropriate knowledge-management approach.

Knowing the work model that’s associated with the core process is important because each model presents its own distinct set of knowledge-management challenges. In the collaboration model, for example, a key challenge is the achievement of breakthrough innovation. To drive such innovation, a company needs to encourage risk-taking and bring together a variety of knowledge domains, such as research, product development, marketing and manufacturing, in order to solve complex problems. At one biotech company, the Institute found that increasingly complicated projects and the need for a growing number of scientific disciplines was making it harder to integrate activities into a coherent whole. Every point in the chain needs to know not just what the links above and below are, but also needs to have some idea of what the whole continuum is.

In the expert model, on the other hand, the organization usually needs to focus on getting results from its star performers. To do so, companies must contend with issues such as attracting and motivating talented individuals and overcoming “silos” of information. For example, at one expert model company studied by the Institute, individuals had a tremendous amount of knowledge about products, but each person rarely knew what the others were doing. In one product area, managers discovered seven redundant research projects.

In essence, the framework allows executives to gain a better understanding of their current knowledge-management practices—which in most companies have evolved in an ad hoc, unconscious manner—and to identify the knowledge-management challenges associated with their core processes. From that specific diagnosis, it is a short step to prescribing specific remedies, because each set of challenges points to a handful of potential knowledge-management strategies.

For example, the challenges in the transaction model are centered on the need to codify knowledge and ensure consistent performance. Possible knowledge-management strategies would therefore include “automation” that embeds knowledge in systems, or perhaps “routinization,” in which knowledge is built into policies and procedures, and training is aimed at standardizing workers’ behavior. In the integration model, where the challenge is to orchestrate activity across various parts of the organization, executives might consider the adoption of standard processes or methodologies that integrate performance across functions. Or they might use softer measures that focus on the use of cross-functional teams, shared goals and feedback systems.

In the expert model, knowledgeable individuals are key. Here, executives may recruit star performers away from other companies, or may choose to focus on programs that develop stars internally through long-term career-progression programs, apprenticeships, mentoring and training. And in the collaboration model, where the challenges revolve around creating breakthrough innovations, the choices may include “action-learning” strategies that encourage discovery through “skunkworks” and pilots, or “knowledge-linking” strategies that focus on learning through consortia and alliances.

The framework also makes it possible to address all elements of the knowledge-management system as a whole—technology, human resource practices, organization and culture—because it focuses executives’ attention on the capabilities their organizations need rather than on component solutions. Also, attention is shifted from broad, vague issues to a well-defined set of challenges that are specific to their business. They have a manageable number of targeted options from which to choose, which makes it easier to formulate an integrated approach to changing organizational structure, technology, human resources and the world culture.

In addition to guiding improvements in today’s core processes, the framework can also be used to help companies evolve and adapt to new conditions. Markets, customers, technology and competition are always changing. To thrive, companies must change over time as well, or their core capabilities may well become core rigidities that lead to obsolescence. As they strive to move in new directions, executives can use the framework to understand the knowledge-management systems that new capabilities will require.

In the silicon-chip industry, for example, the design of new microchip manufacturing processes has always been considered something of an art—a collaborative model type of effort involving a small cadre of experts, extensive experimentation and rapid learning to get it right. Now, however, with most personal computers selling for less than $1,000, chip makers need to move to lower-cost approaches—and to an integration model of knowledge management, where the focus is on standardization, repeatable work and continuous improvement. The framework can help companies envision what their new knowledge-management approach should look like under their new strategy, and plot out a path that will take them there.

At one highly successful financial services company, executives are using the framework to help identify today’s knowledge-management challenges and constraints in the area of product development, and to help shape the company’s approach to tomorrow’s products. Currently, the company develops products under an expert model, with knowledgeable individuals driving the process. Although this model has been appropriate for incremental product development—essentially, enhancements and extensions of existing offerings—it has rarely produced a real product innovation.

The company believes that it may be falling behind in terms of bringing true breakthrough products to market, particularly in the area of eCommerce. Executives want to build on traditional strengths to keep improving existing products, but they also recognize that they will need to take a different approach if the company is to maintain product leadership in its industry. So in the creation of electronic commerce products, the company is considering a move toward the collaboration model and the use of a skunkworks-style operation that relies on multidisciplinary teams and team incentives, rather than individual experts.

Executives are also beginning to experiment with external alliances as a way to bring new knowledge into the company. Using the framework as a guide, the company has been able to gain a sophisticated understanding of how to improve its current knowledge-management systems and, at the same time, develop a sense of how it can manage knowledge to forge new capabilities for the long term.

That kind of evolutionary ability will become increasingly important in the coming years, as the demands of new markets and new competitors drive continuing shifts in corporate strategies. To support those strategies, companies will have to build new capabilities more and more rapidly—and so the ability to manage knowledge to support that change will be critical.

SOURCE : www.accenture.com/Global/…and…/Knowledgevalue.htm

Written by erich fernando usman in: Artikel KM |
Dec
23
2010
0

Strategic Human Resource Management and Knowledge Management

The use of strategic human resource management in the management of knowledge can provide organisations with a significant competitive advantage. Strategic human resource management refers to the process of incorporating human resource management systems and processes into the strategic management of an organisation (Wright, Dunford, & Snell, 2001). It is through the use of such strategies that organisations can foster innovation and competitive advantage (Kazmi & Ahmad, 2001). However in order to harness the capabilities of organisational knowledge, it is necessary to strategically manage that knowledge.

There is no simple definition of knowledge. The meaning of knowledge depends on both the organisation and context (Alvesson, 1993). Knowledge extends beyond information, into the realm of human thinking. With information, humans are able to think, process and share knowledge (Ardichvili & Seung Won, 2009; McDermott, 1999). Without such a human aspect, knowledge would be merely information. Knowledge management, therefore, is the development and implementation of strategies to create, maintain and share knowledge, in order to achieve organisational goals (Edvardsson, 2008). Knowledge management is not a new concept, having been discussed at least 30 years ago (Henry, 1975). Early research conducted into knowledge management focused on the use of information technology concepts, designed to assist knowledge creation, capture and sharing (Edvardsson, 2008; McDermott, 1999; Petersen & Poulfelt, 2002). As time has passed, an increasing amount of research has focused on the human element of knowledge management. This paper focuses on progress of that human element, particularly theoretical and empirical literature related to the link between strategic human resource management and knowledge management.

Most knowledge management systems focus on using information technology to capture, store, distribute and make available information; this does little to improve organisational knowledge. Information systems focus on a singular aspect of knowledge, information, failing to address the fact that knowledge, being the result of human thinking, goes beyond mere information or data. McDermott (1999, p. 104) suggested that the use of information systems was “the great trap in knowledge management”. Rather than solely information systems, human resource systems and information systems need to be combined to manage knowledge. The best use of knowledge can be made by focusing on the human aspect of knowledge, rather than the specific knowledge content itself. Developing communities in which knowledge if effectively and efficiently shared drives innovation, resulting in increased competitive advantage. McDermott further suggests that through planning the organisational structure and culture with knowledge management in mind, knowledge could be created, shared and leveraged. A large amount of modern literature agrees that human elements are at least as important as information systems to knowledge management (Ardichvili & Seung Won, 2009; Edvardsson, 2008; Lopez-Cabrales, Pérez-Luño, & Cabrera, 2009).

Although the human factor in knowledge management is generally accepted, there are many alternative thoughts on integrating human resource management systems into knowledge management. Robertson and Hammersley (2000) conducted exploratory research into human resources practices and knowledge management within a single organisation. The organisation studied used few formal human resource management practices, and it was found that the employees were still motivated to share their knowledge. The organisation was also still highly competitive in the marketplace, despite the lack of traditional human resource practices. The results of their research suggest that, in some knowledge intensive organisations, regular human resources strategies are inadequate or ineffective. Hislop (2003) posited that the reason the organisation studied by Robertson and Hammersley had succeeded in knowledge management was the commitment of employees to the organisation. Where employees are highly dedicated to their job and organisation, knowledge is shared organically without further managerial processes. In some cases, it is necessary to treat employees who work in knowledge intensive organisations differently to regular workers, possibly as they expect a deeper level of autonomy and independence in their work (Robertson & Hammersley, 2000). Rejecting regular human resource management practices and processes in favour of informal, unofficial and subjective approaches to human resource management could lead to improved performance. Edvardsson (2008) also found that regular human resource management processes may need to be modified in knowledge intensive organisations, because those organisations are by nature complex and irregular. Rigid processes such as recruitment, performance management and reward programs can limit knowledge sharing, stifling creativity, with a negative effect on competitive advantage.

Petersen and Poulfelt (2002) agree that different strategies are required, depending on the type of workers and organisational culture. Whilst the study was primarily focused on factors external to human resource strategies, it was also concluded that performance management and incentive programs contribute considerably to the success of knowledge management. For strategies to create and store knowledge to be successful, incentives and rewards must be used to encourage both the creation and sharing of knowledge. For example, incentives for documenting systems and processes should be used in conjunction with incentives for actually sharing information with other workers. This concept has since been agreed by a number of other theorists and researchers (Edvardsson, 2008).

Hislop (2003) suggests that knowledge management has not fully employed human resource management strategies and concepts. He further suggests that the level of commitment of employees to the organisation contributes directly to the effectiveness of knowledge management, and that this may be attributable to human resource management policies and processes. Strategic management incorporating techniques to motivate employees may contribute to commitment, ultimately driving competitive advantage. While much literature focuses on the storage and sharing of knowledge, Hislop contends that the attraction and retention of employees may be just as important as knowledge sharing in the use of knowledge management in fostering innovation. As modern organisations employ larger numbers of higher skilled workers, they are at risk of losing those workers to other organisations, or even being unable to recruit those skilled workers at all. As such, it is vital that organisations develop strategies to manage human resources with knowledge in mind. This includes strategies to manage recruitment and selection to find and hire new skilled workers, who will bring valuable new knowledge. Without such strategies, even a small turnover rate can quickly lead to a loss of organisational knowledge.

Attempting to integrate strategic human resource management with knowledge management, Edvardsson (2008) makes a clear delineation between technical strategies and human based strategies, referring to them as codification and personalisation. Codification strategies focus on structuring of knowledge systems such as databases to store and distribute information within an organisation. Critics of codification strategies note that the information stored lacks context, leading to “information junkyards”, where the stored information is never used (McDermott, 1999, p. 104). Personalisation refers to those strategies that recognize that knowledge has a human aspect, focusing on recruiting and retaining knowledgeable staff, and fostering communication. While both strategies try to effectively control organisational knowledge, codification tends to focus on getting information out of employees and into databases, whilst personalisation focuses on getting and keeping key knowledgeable employees. Human resource strategies to influence knowledge management vary depending on the knowledge management strategy chosen. For example, in performance management, codification strategies call for short-term goals related to the amounts of information documented or stored (Edvardsson, 2008). In contrast, with personalisation strategies, goals are developmental rather than results based, more long term, focusing on creativity and innovation. In reality, a combination of both strategies is usually required (Petersen & Poulfelt, 2002). A prime example of differences in these strategies is the difference in recruitment strategies. With codification, recruitment tends to be very formal, based on written job descriptions, with a focus on testing and evaluating candidates (Edvardsson, 2008). Conversely, a personalisation strategy involves a less formal, more subject approach to recruitment, where the focus is more on determining whether candidates fit within the knowledge sharing culture of the organisation. These theories tend to align with the research of Robertson and Hammersley (2000).

Recent empirical research has further determined that the strategic human resource management of knowledge can improve the knowledge within organisations (Lopez-Cabrales, et al., 2009). Specifically, human resource systems allow organisations to develop and improve on employee knowledge, as well as provide direction to employees to ensure the knowledge is utilised to achieve organisational goals. The use of a human resource strategy to manage knowledge contributes to the creation of unique knowledge; however Lopez-Cabrales, et al. suggest that there is no best practice for the use of human resource processes to manage knowledge. In some ways this research follows on from Wright, Dunford, & Snell (2001), who suggest that any competitive advantage does not stem from the human resource systems, but that the human resource systems provide a framework to store and communicate knowledge. They propose expanding the usual concepts in human resources management processes to also encompass the organisational knowledge, through allowing human resources more input into a wide range of work processes.

However, it has been argued that perhaps regular human resource practices are not relevant in modern knowledge based organisations (Chasserio & Legault, 2009; Minbaeva, Foss, & Snell, 2009; Robertson & Hammersley, 2000). Chasserio & Legault (2009) go so far as to suggest that strategic human resource management may be entirely irrelevant in some modrn, high technology companies. In studies of a variety of knowledge intensive organisations they discovered that few human resource management strategies and policies were in place. Human resources is instead relegated to operational procedures, such as ensuring compliance with industrial relations instruments. In organisations in which this occurs, there is very little in the way of human input into strategy. This lack of strategy opposes research by Petersen and Poufelt (2002), who found that Knowledge management is most effective in organisations where the knowledge management strategy is precise and supported by the organisational structure, culture and general business strategies. Chasserio & Legault speculate that the concepts of commitment, such as those argued by Hislop (2003) and others, require further analysis, particular with regard to highly skilled workers.

The use of strategic human resource management to manage knowledge is a newly established practice. A large amount of existing literature is theoretical in nature, and much empirical research is based on statistically insignificant samples or anecdotes. With the current level of research the link between strategic human resource management and knowledge management is largely context dependent. There are many areas within the field that would benefit from further longitudinal research. The impact of human resource management systems and processes on knowledge management will be better understood through research into aspects such as the influence of job design, organisational culture, career opportunities, and appraisal and reward systems. Additional research into employee commitment will ensure that human resource strategies focus on the areas where most gains can be made, and have a minimal footprint where they are of little benefit. What is clear from the research is that effective knowledge management can and does deliver significant competitive advantage. Where organisations are able to direct their knowledge toward innovation, competitive advantage will follow.

source : http://www.articlesbase.com/human-resources-articles/strategic-human-resource-management-and-knowledge-management-2375069.html

Written by erich fernando usman in: Artikel KM |

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