INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN MANAGEMENT (IJARM)

International Journal of Advanced Research in Management (IJARM), ISSNRESEARCH 0976 – 6324 (Print), INTERNATIONAL JOURNAL OF ADVANCED ISSN 0976 – 6332...
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International Journal of Advanced Research in Management (IJARM), ISSNRESEARCH 0976 – 6324 (Print), INTERNATIONAL JOURNAL OF ADVANCED ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

IN MANAGEMENT (IJARM)

IJARM

ISSN 0976 - 6324 (Print) ISSN 0976 - 6332 (Online) Volume 5, Issue 4, July-August (2014), pp. 48-59 © IAEME: www.iaeme.com/ijarm.asp Journal Impact Factor (2014): 5.4271 (Calculated by GISI) www.jifactor.com

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KNOWLEDGE MANAGEMENT AND EMPLOYEE PERFORMANCE IN THE BREWERY INDUSTRY: A THEORETICAL EXAMINATION OF CONSOLIDATED BREWERY LTD, MAKURDI-NIGERIA Stephen I. Dugguh, Ph.D Centre for Entrepreneurship & Service Learning, Federal University, Kashere, Gombe State, Nigeria Jane I. Terzungwe Department of Business Management, Benue State University, Makurdi, Benue State, Nigeria

ABSTRACT The world has now become a knowledge-driven society characterized by rapid changes. Under this condition, knowledge has to be managed for results. That is the problem of this paper. The objective of this paper is to provide a theoretical exposition of knowledge management and determine whether it influences employee and organizational performance. The paper is descriptive and reviews relevant literature based on knowledge management dimensions (explicit and tacit) including the benefits and organizational performance. To achieve this objective, the paper reviews literature and past research findings and case studies from companies like Analog Devices, Buckman Labs and Ford Motor Company on knowledge management. Literature findings indicate that both explicit and tacit knowledge have significant impact on employee performance in the Brewery Industry in Nigeria. The paper recommends that management should encourage knowledge management activities for effective and efficient solutions to organizational problems. Keywords: Knowledge, Performance.

Knowledge

Management,

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Tacit and

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International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

1. INTRODUCTION Organizations are fast searching for more effective and efficient ways to increase employee performance and remain competitive both at the local and global levels. In conformity to national and global best practice, dynamic managers and professionals are constantly seeking for more effective and efficient strategies to increase employee performance in their various organisations in order to gain competitive advantage. Many organizations are therefore turning their searchlight to the management of the intellectual capital: knowledge management. In recent times, there has been a considerable interest among human resource practitioners and researchers to demonstrate the causal relationship between knowledge management and employee performance in organizations including the Brewery industry in particular and manufacturing organisations in general. Research findings and report from various stakeholders indicate low or declining performance in the Brewery industry over the years. Other research works also indicate that people simply hang themselves to organisations as employees without putting their knowledge into practice thereby decreasing performance in the organisation. The implication is that performance continues to decline because the knowledge, skills and abilities of those employees may not be effectively managed and utilized to enhance best performance. It has now become imperative that those who work in organisations to accomplish goals and attain high level of performance ought to be effectively managed since no knowledge is wasted in the organisation (Dugguh, 2011). Managing intellectual capital (what the employees know) is therefore very intangible that its value cannot be often adjusted. This has now become one of the challenges faced by organisations today: to manage not just cash flow, stocks, raw materials etc but also to manage human skills and knowledge for higher performance. Knowledge management therefore is a discipline that promotes an integrated approach to identifying, capturing, evaluating, retrieving, and sharing all of an enterprise’s information assets. These assets may include databases, documents, policies, procedures, and previously un-captured expertise and experience in individual workers (Duhon, 1995). Many industries as well as other organisations, at the global level have now built a knowledge sharing culture which has contributed greatly to the success of their business. Such companies and the techniques they used in managing knowledge include: Anolog Devices, (community of inquiries and initiated a breakdown of functional barriers and competitive atmosphere to create a collaborative knowledge sharing culture from top. The company encourages ‘community of inquires’ rather than ‘community of advocates), Boeing 777, the first ‘paperless’ developer of aircraft in digital database (including customers in design teams and had more than 200 teams with wide range of skills for both design and construction). Ford Motor Company (used virtual network of vendors and transformed itself by outsourcing and creating virtual networks of vendors using Information Technology), and Buckman Labs (used knowledge sharing by establishing a Knowledge Transfer Department to co-ordinate employee efforts). From these examples, it is clear that employees and companies that were good at knowledge sharing gain both financial rewards and management positions (Sveiby, 1996) In Nigeria however, such knowledge management and sharing culture is rare in the Brewery and other manufacturing industries. A number of companies currently operate in this industry and they include the following: Champion Breweries Plc, Golden Guinea Breweries Plc, Guinness Nigeria Plc, Jos International Breweries Plc, Nigerian Breweries Plc, Premier Breweries Plc, and Consolidated Brewery plc. Research indicates that these companies do not 49

International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

have a culture of knowledge management to inspire and motivate their employees for performance. Therefore, it becomes difficult measuring employee performance using knowledge as a variable. The implication is that performance is measured in terms of output, effectiveness, punctuality, quality and so on while knowledge is hardly use as a factor in measuring employee performance. It is against this background that the researchers intend to determine whether the performance of employees is influenced by managing knowledge: tacit and explicit in the organization. 2. PAPER OBJECTIVE The general objective of this paper is to determine whether knowledge management influences employee performance in Consolidated Brewery Ltd Makurdi. Specifically, the paper aims at determining whether explicit or tacit knowledge management impact on employee performance in Consolidated Brewery Ltd, Makurdi. 3. CONCEPTUAL CLARIFICATIONS Knowledge management is now regarded as one of the most important concepts in human resource management in organisations. This is so because we live in a knowledgedriven society as earlier stated. If the knowledge employees possess is adequately and effectively managed, their individual performance and that of the organization at large may also tend to increase as well. Low level of performance may be associated with inadequate and ineffective knowledge management in organizations. Conceptually therefore, the following are captured and clarified 3.1 Knowledge and knowledge Management Daft (2000), and Addicott, McGivern & Ferlie (2006) state that knowledge is a conclusion drawn from the information after it is linked to other information compared to what is already known. Knowledge, as opposed to data, always has a human factor. Helliriegel Jackson & Slocum (1999) had earlier posited that knowledge refers to tools, concepts and categories used to create, store, apply and share information. It can be stored in a book, in a person’s mind, or in a computer programme as a set of instructions that gives meaning to streams of data (Davenport & Prusak, 1991) Information, on the other hand, is the knowledge derived from data that people have transformed to make their meaningful and useful. KM according to Gupta & Sharma (2004) Ferguson (2005,) and Booker, Bontis & Serenko (2008) therefore comprises a range of strategies and practices used in an organization to identify, create, represent, distribute, and enable adoption of insights and experiences. Such insights and experience comprise knowledge, either embodied in individuals or embedded in organizations as processes or practices. KM efforts typically focused on organizational objectives such as improved performance, competitive advantage, innovation, sharing of learned, integration and continuous improvement of the organization. According to Addicott, McGivern & Ferlie (2006), many large companies and non-profit organizations have resources dedicated to internal KM efforts, as part of their business strategy, information technology, or human resource management departments. KM efforts do overlap with organizational learning and may be distinguished from the sharing of greater focus of the management of knowledge as a strategic asset and a focus on encouraging the sharing of knowledge. 50

International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

Further, knowledge management consists of activities focused on the organisation gaining knowledge from its own experience and from the experience of others, and on the judicious application of that knowledge to fulfil the mission of the organisation. It is an audit of intellectual assets that highlights unique sources, critical functions and potential bottleneck which hinder knowledge flows to the point of use. It protects intellectual assets from decay, seeks opportunities to enhance decision, services and products through adding intelligence, increasing value providing flexibility and so on. 3.2 Evolution of knowledge management Knowledge management efforts have a long history to include on-the-job discussions, formal apprenticeship, discussion forums, corporate libraries, professional training and mentoring programmes. More recently and with increased use of computers in the second half of the 20th century, specific adaptations of technologies such knowledge base, expert systems, knowledge repositions, group decision support systems, intranets, and computersupported cooperative work have been introduced to further enhance such efforts (McInerney, 2002, Sensky, 2002). On his part, Wright (2005) observed that in 1999, the term personal knowledge management was introduced which refers to the management of knowledge at the individual level. At the enterprise level, early collection of case studies recognized the importance of knowledge management dimensions of strategy, process and measurement. Key lessons learned include people and cultural norms which influence their behaviours are most critical resources for successful knowledge creation, dissemination and application, cognitive, social and organizational learning processes are essential to the success of a knowledge management strategy. In addition, measurement, benchmarking and incentives are essential to accelerate the learning process and to drive cultural change. More recently and with the advent of the web 2.0, the concept of knowledge management has evolved towards a vision more based on people participation and emergence. This line of evolution, according to Afee (2007) and Devanport (2008) is termed Enterprise 2.0. Writing on the importance of knowledge management, Coulson Thomas (1998) emphasized that: The good news is that given reflection, focus and appropriate and tailored combination of change and support elements, effective knowledge management can enable corporate renewal learning and transformation to occur. Substantially, more value can be created for various stakeholders. Nonaka (1996) supports the above line of argument by saying that competitive advantage is found in the ability of companies to create new form of knowledge and translate this knowledge into innovative action. KM emerged as a scientific discipline in the earlier 1990s. It was supported by practitioners when Skandia hired a Chief Knowledge Officer (CKO) with the objective of managing and maximizing the intangible assets of the organization. With increased interest in not only practical but also theoretical aspects of KM, and the new research field was formed. Since then, KM ideas have been taken up by academics. Stewart (2001) published articles (especially in Harvard Business Review) to highlight the importance of intellectual capital of organizations. 3.3 Types of Knowledge Management Different frameworks for distinguishing between different types of knowledge exist. One proposed framework for categorizing the dimensions of knowledge distinguishes between explicit and tacit. 51

International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

3.3.1 Explicit knowledge Nonaka (1995) and Nonaka & Takeuchi (1995) stated that explicit knowledge can be codified; it is recorded and available and is held in data-based, in corporate intranets and intellectual property portfolios. Based on the work of Hansen, Nohira & Tierney (1999) which deals with the collection and sharing of explicit knowledge through the use of sophisticated information technology system, explicit knowledge provide high quality, reliable and fast information system for access of codified and reusable knowledge using such intellectual properties such as patent and license, work process such as policies and procedures, specific information on customers, markets, suppliers or competitors, competitive intelligence reports, benchmark data and so on. Managers retrieve and store it in databases where it can be easily accessed and reused by anyone in the organisation. In this approach, knowledge is gathered from individuals who process it and organised into documents that others can access or use. It is a ‘people-to-document approach. Organisations using this dimension invest heavily in information technology, with a goal of connecting people with reusable, codified knowledge. The mechanism for explicit knowledge management therefore includes: a. Data warehousing and data mining: Data warehousing allows companies to combine all their data into huge database for easy access while data mining helps make sense of the data by searching for patterns that can solve organisation problems. b. Knowledge mapping: these are projects that identify where knowledge is located in the organisation and how to access it. c. Electronic libraries: these are database of specific types of information for specific users. Intranets and other networks are critical tools that give employees access to explicit knowledge that is stored in databases, electronic libraries and so on throughout the organisation. 3.3.2 Tacit Knowledge Tacit knowledge according to Nonaka (1991) and Nonaka and Takeuchi (1995), exist in people’s minds. It is difficult to articulate in writing and is acquired through personal experience. As suggested by Nohiria, Hansen & Tierney (1999) tacit knowledge includes scientific or technological expertise, operational know-how, insights about an industry, and business judgement. The main challenge in knowledge management is how to turn tacit knowledge into explicit knowledge. Tacit knowledge focuses on leveraging individual expertise and know-how by connecting people face to face or through interactive media. It channels individual expertise to provide creative advice on strategic problems. The knowledge management strategy used in this dimension is the person-to-person approach where organisations develop networks for linking people so that tacit knowledge can be shared. Although technology is used, it primarily supports and facilitates conversation and person-to-person sharing of tacit knowledge. The mechanisms for tacit knowledge management include: a. Dialogue: getting people talking face-to-face or at least through video conferencing or other interactive media. The goal of dialogue is to create a collective intelligence or collective solution to a problem with the intent to convince others to adopt those solutions. Schein (1993) emphasized that a dialogue assumes that many people have different pieces of the 52

International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

answer to a problem and that together they can craft a solution. Organisations that excel at tacit knowledge find ways of encouraging and facilitate continuous dialogue among employees. b. Learning histories and storytelling: this is designed to get at a history of how critical decisions were made and problems were solved (or not solved) so that knowledge is transferred to others. A learning history is a written narrative of a specific major event or project, base on the recollections and insights of everyone who participated. In organisations, those who participated could be managers, secretaries, customers, suppliers and so on. c. Communities of practise are other mechanisms for tacit knowledge management. This is made up of individuals who are formally bound to one another through exposure to a similar set of problems and a common pursuit of solutions (Allee, 1998) and (Stewart, 1998). Communities of people are similar to professional bodies. People join them and stay in them by choice because they think they have something to learn and something to contribute. Through communities of practice cannot be formalised, some organisations use the idea to amass and concentrate knowledge and intellectual energy related to specific critical issues. 4. BENEFITS OF KNOWLEDGE MANAGEMENT A creative approach to knowledge management can result in improved efficiency, higher productivity, to increased revenues and performance in practically business functions. Some benefits of knowledge management correlate directly to bottom-line saving, while others are more difficult to qualify. In today’s information-driven economy, companies uncover the most opportunities and ultimately derive the most value-from intellectual rather than physical assets. To get the most value from a company’s intellectual assets, knowledge management practitioners maintain that knowledge must be shared and serve as the foundation for collaboration. Yet better collaboration is not an end in itself. Without an overarching business context, knowledge management is meaningless at best and harmful at worst. Consequently, an effective knowledge management program should help a company do one or more of the following: Foster innovation by encouraging the free flow of ideas, improve decision making, improve customer service by streamlining response time, boost revenues by getting products and service to market faster, enhance employee retention rates by recognizing the value of employees’ knowledge and rewarding them for it, streamline operations and reduce costs by eliminating redundant or unnecessary processes, making available increase knowledge content in the development and provision of products and services, achieving shorter new product development cycles, facilitating and managing innovation and organisational learning, leveraging the expertise of people across the organisation, increasing network connectivity between internal and external individuals, managing business environment and allowing employees to obtain relevant insights and ideas appropriate to their work, solving intractable or wicked problems, managing intellectual capita and intellectual assets in the workforce (such as the expertise and know-how) possessed by key individuals)

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International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

5. CHALLENGES MANAGEMENT

TO

THE

IMPLEMENTATION

OF

KNOWLEDGE

Despite the benefits inherent in knowledge management, Sharma (2008) identified two basic limitations to the implementation of knowledge management in organizations. First, knowledge management is often defined in terms of inputs such as data, information technology, best practices etc. That by themselves may be inadequate for effective business performance. Such definitions tend to be more static in nature and aims at standardizing the process which often is not possible. Knowledge management is a dynamic concept which is people oriented and is not an assembly line process where the technology or the mechanistic components play the major role. Secondly the efficacy of inputs and how they are strategically deployed are important issues often left unquestionable as expected performance outcome are achieved, through the dynamics shift in the business and competitive environment. These enablers and constraint are presented as the seven challenges that need to be met for successful knowledge management practices. These challenging factors include: a. Organisational control challenge: This is often base on rules and hence difficult to maintain in a world where competitive survival often depends upon questioning existing assumptions. They often act as hindrances in the free flow of knowledge. A system often creates bottlenecks that are hard to comply with. b. Business and technology challenges: Most of the times the organisational processes are repetitive in nature. If we treat the knowledge management as pure plug and play process then the major emphasis will be on the automation of functions, rationalization or workflow and redesign of business processes. The critical challenge for most organisations therefore lies in the ability to redesign and reinvent their business processes and business models for realizing more interesting customer value propositions, while harvesting the knowledge flow embodied in the current set up. c. Knowledge Representation Challenge: Static and pre-defined representation of knowledge is particularly suited for knowledge re-use and offers an interesting contrast against the dynamic, affective and active representation of knowledge is non-static component and requires a constant up gradation, both in terms of its basic content and its probable usage. d. Information sharing challenge: The challenge of information sharing results from the potentially competitive nature of various enterprises across the value chains as access to privileged information may often determine the dominant position in the inter-enterprise value networks. Similarly access to customer and supplier data residing in database or networks that are hosted on the infrastructure of outsourcing providers for example, may pose increased privacy and security challenge. This is a big dilemma for an organization when it’s planning to implement a knowledge management system. e. Command and control challenge: Organisational control tend to seek compliance with predefined goals that need to be achieved using predetermined ‘best practices’ and standard operating procedures. Such organisational control tends to ensure conformity by enforcing task definition, measurement and control, yet they may inhibit creativity and initiative. Enforcement of such controls is essentially a negative activity since it defines ‘what cannot be done’. 54

International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

f. Return on investment challenge: Implementing knowledge management system is capital investment. Arthur, (1994) argued that the production, and distribution of knowledge based goods and services should create and sustain increasing returns in contrast to diminishing return that are characteristic of the industrial goods and services. A knowledge driven organisation unlike a typical manufacturing organisation has a greater percentage of knowledge assets which tends to appreciate with time. Typically the knowledge organisation should have ‘a northward approaching return graph’. g. Organisation structure challenge: Developing an information-sharing technological infrastructure is an exercise in engineering design where as enabling the use of that infrastructure for sharing high quality information. While the former process is characterised by pre-determination, pre-specification and pre-programming for knowledge harvesting and exploitation, the later process is typically characterised by creation of organisational cultural infrastructure to enable continuous information sharing, knowledge renewal, and creation of new knowledge. 6. APPROACHES TO THE EFFECTIVE USE OF KNOWLEDGE MANAGEMENT The term ‘knowledge management’ has now in widespread use. There are, of course, many ways to slice up the multi-faceted world of knowledge management. Knowledge management draws its origin form a wide range of disciplines and technologies. However, there are three main approaches to study of knowledge management. These approaches include: a. Mechanistic approach to knowledge management: Mechanistic approaches to knowledge management are characterized by the application of technology and resources to do more of the same better. The main assumption of the mechanistic approach include: Better accessibility to information including enhanced methods of access and reuse of documents (hypertext linking, database, full text search etc). In general, technology and sheer volume of information will make it work. Such approaches are relatively easy to implement for corporate ‘political reasons because the technologies and techniques (although sometimes advanced in particular areas) are familiar and easily understood. There is a modicum of good sense here, because enhanced access to corporate intellectual assets is vital. This approach is similar to the assembly line concept where it’s the machine and not the man that matters. This approach is easiest to implement but the results are too limited. It often leaves a large portion of knowledge base untapped and the overemphasis on the technology and physical infrastructure alienates the tactic components of the knowledge base. b. Systematic approaches to knowledge management: Knowledge management involves using systematic approaches to disseminate information and knowledge to the right people at the right time to create value. A knowledge management initiative combines people, processes, and technologies to indentify, capture, and share best practices and collective knowledge that helps organisations in achieving their specific objectives. A knowledge management system involves the representation, organisation, acquisition, creation, usage, and evolution of knowledge in its many forms, and the modelling, analysis, and design of technical systems for supporting all facets of knowledge management. Systematic approach to knowledge management retain the traditional faith in rational analysis of knowledge problem: the problem can be solved, but new thinking of many kinds is required. Some basic 55

International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

assumptions: its sustainable results that matter, not the processes or technology or the definition of knowledge. A resource cannot be managed unless it is modelled, and many aspects of the organisation’s knowledge can be modelled as an explicit resource. Solutions can be found in a variety of disciplines and technologies, and traditional methods of analysis can be used to re-examine the nature of knowledge work and to solve the knowledge problem. Cultural issues are important, but they too must be evaluated systematically. Employees may or may not have to be changed but policies and work practices must certainly be changed, and technology can be applied successfully to business knowledge problem themselves. c. Core Competencies approach to knowledge management: Dugguh (2007) posit that one way to organise a company around knowledge is to develop a knowledge competences approach. Many people use the terms capability and competency interchangeably. But core performance capabilities and core knowledge competencies are distinct, though complementary aspects of organisational identity. Core knowledge capabilities are processes that enable a company to deliver high-quality products and services with speed, efficiency, and effective customer service. Core performance capabilities are keys to a company’s success. Such capabilities include aspects like bringing new products to market quickly, modifying or customizing products or services quickly, managing logistics, attracting and recruiting quality employees, sharing learning, insight, and best practice. Core knowledge competencies are therefore the expertise and technical knowledge unique to a particular business. They are the content or subject matter, such as 3M’s technical knowledge about adhesives and Microsoft’s technological knowledge about software. Each company has a unique organisational identity base on how it combines its capabilities and competencies. Successful companies develop strengths in both areas. As a company adapts and changes performance capabilities and knowledge, competencies combine and recombine in new configurations that enable a flexible response to changing conditions. With a competencies focus, employees are generally more empowered to meet customer’s needs. Employees organize themselves and their work groups to provide rapid responses and quality service. They are often cross-trained or involved in job-enrichment approaches that expand their range of skills. Competency-base organisations tend to have a long term perspective because competencies take time to develop. Such companies focus their investment and strategies more on strengthening competencies over time than on immediate financial gain. All knowledge is not alike. Any area of expertise involves multiple layers of knowledge. As organisation’s become international, their market boundaries began to blur and new alliances increased competition. In response, they have to develop a customer-focused strategy and identified core competencies in each market segment to describe the skills and traits employees would need to deliver the new global strategy. 7. EMPLOYEE PERFORMANCE Recent studies indicate a strong correlation between knowledge management and employee performance. An employee is a person who is paid to work for somebody or organisation. This payment could either be wages or salary. Employees are therefore people who work in an organisation to achieve the organisation’s set goals. According to Dugguh (2007) employee are viewed as assets. This is because employees and not building and machinery give a company a competitive advantage. Employees occupy a strategic role and 56

International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

position in any organisation. They are responsible for converting inputs to productive outputs. The work the employees of an organisation perform in front of the public and behind the scenes affects the organisation’s reputation in the community and the profitability of a company. There are different views on what performance is. It can be regarded as simply the record of outcomes achieved. On an individual basis, it is a record of the person’s accomplishments. Looking at individual performance more deeply and relating it to the work situation. Rao (2009), defined the performance of an individual in an organisational setting as: ‘’the output delivered by an individual in relation to a given to role during particular period of time under the set of circumstances operating at that point in time’’ Rao maintains that an individual performs under different circumstances and different times. Using the above definition he formulates the following equations: Individual Performance = Ability × Motivation × Organisational Support + or – Chance Factors.

Rao’s equation implies that, ‘any individual’s performance in a given period and in a given role or job (set of task that constitute the role) is a function of his competence to do that job or role or set of task associated with that role, multiplied by his interest or motivation to do that job and the support he gets to do that job during that period. It is moderated by chance or environment factors’’. Kane (1996) however argues that ‘performance is something that the person leaves behind and that exist apart from the purpose’’. Bernadin, Kane, Ross, Spina & Johnson, (1995), suggest that: performance should be defined as ‘the outcomes of work because they provide the strongest linkage to the strategic goals of the organisation, customer satisfaction and economic contributions’’. In his study, Cascio (1989) said that performance refers to an employee’s accomplishment of assigned tasks while Bates and Hulton (1995) see performance as ‘a multidimensional constraint, the measurement of which varies depending on a variety of factors. The above definitions including the Rao equation of individual performance leads to the conclusion that when managing performance of teams and individuals, inputs (behaviours) and outputs (results) need to be considered. This is the so called ‘mixed model’ of performance management which covers competency levels and achievements, recognition and satisfaction as well as objective setting and review (Harte, 1995). 8. METHODOLOGY The paper draws from past research findings and case studies from Analog Devices (USA), Buchman Labs USA and Ford Motor Co. The findings were that both tacit and explicit knowledge has significant statistical impact on employee performance in both organised private and public sector organisations in Nigeria. 9. EMPIRICAL STUDIES OF KNOWLEDGE MANAGEMENT Research cases and findings taken from organisations that are involved in knowledge management are relevant to this paper. A summary of these cases is presented below: Anolog Devices used community of inquiries and initiated a breakdown of functional barriers and competitive atmosphere to create a collaborative knowledge sharing culture from top. The company encourages ‘community of inquires’ rather than ‘community of advocates’. 57

International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

Boeing 777, the first ‘paperless’ developer of aircraft (digital database) included customers in design teams and had more than 200 teams with wide range of skills for both design and construction. Again Ford Motor Co. used virtual network of vendors and transformed itself by outsourcing and creating virtual networks of vendors using Information Technology. Buckman Laboratory used knowledge sharing by establishing a Knowledge Transfer Department to co-ordinate employee efforts. Employees who were good at knowledge sharing gain both financial rewards and management positions. Based on the above review and case analyses, the paper found a link between knowledge management and employee performance. Knowledge management, if properly designed and implemented can influence employee performance in organisations including the Brewery Industry. 10. CONCLUSION AND RECOMMENDATIONS From the review, cases and results of the findings discussed above, we can confidently conclude that knowledge management is a necessary parameter for enhancing employee performance in Brewery Industry in Nigeria. This being the case, there is every need to ensure adequate management of knowledge not only in the Brewery Industry but in any other organisation in Nigeria because of its perceived benefits. With proper planning, knowledge management challenges would be overcome. It is therefore the view of the researchers that until what people know is effectively managed and recognised as the life wire of organizations, there can be no meaningful contribution by workers towards improving their performance and that of the company at large. Therefore, the management should effectively manage what its employees know just as it manages its raw materials and revenue to achieve organisational goal and increase profit margins. Based on the preceding, the researchers recommend that: Management should encourage explicit knowledge in the organisation. There should be proper documentation of all the activities and operations of the company. To make this effective, materials like company folders and other electronic materials like CDs, flash drives and to some extent e-libraries should be provided for easy documentation. Computers should also be provided to facilitate documentation and facilities should be provided to enhance the storage and retrieval of data. In addition, tacit knowledge with emphasis on dialogue or face-to-face discussions to collectively solve problems should be encouraged. This would assist in resolving disputes before they become unmanageable. Case studies should form part of the training program. Further, communities of practice which exposes employees to similar set of problems and a common pursuit of solutions should also be encouraged by management. Recognition in the form of monetary rewards, certificates, plagues etc should be given to those who participate in all knowledge management activities with positive results. Other recommendations include periodic training on knowledge management through seminars, workshops or conferences. To accomplish this, the company should create the Department of Knowledge Management and appoint a Senior Manager to oversee the Department. A more conducive environment should also be provided for knowledge management activities to thrive. Computers and other knowledge management equipment should be stocked and maintained on regular basis to make knowledge management more effective in the organization.

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International Journal of Advanced Research in Management (IJARM), ISSN 0976 – 6324 (Print), ISSN 0976 – 6332 (Online), Volume 5, Issue 4, July- August (2014), pp. 48-59 © IAEME

11. ACKNOWLEDGEMENT We wish to acknowledge all those who contributed in making this paper a reality. We are also appreciative of the authors of the materials and case studies we cited and made reference to in this paper. REFERENCES [1] [2]

AddicoH, R; McGiven, G;& Ferlie, E (2006). Networks, Organisational Learning and Knowledge Management: NHS Cancer Networks; Public Money and Management 26(2): 87-94. [3] Allee, V (1998). The Knowledge Evolution: New York: Bantam Books. [4] Argyris, C (1991). Teaching Smart People How to Learn, Harvard Business Review, May-June: 54-62. [5] Blackler, F (1995). Knowledge, Knowledge Work and Organisation, Organisation Studies 16(6): 16-36. [6] Bontis, N; & Choo, W (2002). The Strategic Management of Intellectual Capital and Organisational Knowledge: New York; Oxford University Press. [7] Dugguh, S. I (2012). Knowledge management and organisational performance: An emerging competitive strategy in achieving corporate goals. Proceedings of International conference on Social Science and Humanities. 68-77. [8] Ferguson, J (2005). Bridging the Gap Between Research and Practice; Knowledge Management for Development Journal 1(3): 46-54. [9] Goleman, D (1998). Working with emotional intelligence. New York Bantam books [10] Goleman, D & Chernis, C. D (2000). An El-based theory of Performance. The Emotional Intelligence Workplace. How to select for measures and improve Emotional Intelligence in individuals, groups and organisations. [11] Nonaka, I (1991). The Knowledge-Creating Company, Harvard Business Review November-December: 96-104. [12] C. S. Ramanigopal, G. Palaniappan and A. Mani, “Mind Mapping and Knowledge Management: Coding and Implementation of KM System”, International Journal of Management (IJM), Volume 3, Issue 3, 2012, pp. 250 - 259, ISSN Print: 0976-6502, ISSN Online: 0976-6510.

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