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  1. International Journal of Management (IJM) Volume 8, Issue 3, May– June 2017, pp.97–104, Article ID: IJM_08_03_010 Available online at http://www.iaeme.com/ijm/issues.asp?JType=IJM&VType=8&IType=3 Journal Impact Factor (2016): 8.1920 (Calculated by GISI) www.jifactor.com ISSN Print: 0976-6502 and ISSN Online: 0976-6510 © IAEME Publication THE MANAGEMENT OF STAFF SUGGESTIONS FOR KNOWLEDGE CREATION Lamiae Bentaleb and Prof. Mimoun Zouhdi Faculty of Medicine and Pharmacy, University of Mohamed V – Souissi. Rabat, Morocco ABSTRACT Companies evolve in a complex and changeable environment. Competition, internationalization of markets, modern information and communication technology are elements which characterize this environment. To face this evolving environment, companies owe have to ensure the continuous improvement of their performances. Quality management guarantees this objective. Several standards exist as ISO 9001, ISO 15189, and ISO 17025. Dependent on the context of different companies. Quality management presents an optimal frame for the creation of new knowledge- a knowledge that can constitute a competitive advantage and an element of distinction for companies. Staff suggestions are a source of new knowledge. For a long time Man felt the need to emit suggestions to improve his environment and the various aspects of his everyday life. For companies, the suggestions stimulate the creativity of their staff, help to decrease errors, and improve activities. This paper explores the role of management of staff suggestions for knowledge creation. It also proposes a framework for the management of staff suggestions within a quality management system. Key words: Staff suggestions, Quality management, Creation, Knowledge, Continuous improvement. Cite this Article: Lamiae Bentaleb and Prof. Mimoun Zouhdi, The Management of Staff Suggestions For Knowledge Creation. International Journal of Management, 8(3), 2017, pp. 97–104. http://www.iaeme.com/ijm/issues.asp?JType=IJM&VType=8&IType=3 1. INTRODUCTION Everyone agrees on the importance of knowledge management. Indeed, for several years, businesses that have started investing in knowledge management approaches and whose interest is in performance improvement have seen major successes. Today, various sources enrich knowledge. Unfortunately, this knowledge can be influenced by an individual’s vision. With this being the case, it is hard to guarantee collective enrichment and knowledge transfer. Indeed, the notion of sharing is not fully integrated into organizational practices. This impacts the sustainability of knowledge and the relevant management of assets http://www.iaeme.com/IJM/index.as 97 editor@iaeme.com
  2. The Management of Staff Suggestions For Knowledge Creation and, consequently, the sustainability of companies. To respond to this problem, a revision of organizational methods is necessary. The quality management system is a tool for structuring companies. Quality management approaches represent an optimal framework for the creation and sharing of knowledge, skills, and experience. First and foremost, quality is documenting everything. This notion underlies the participation of all those involved in the process of capitalizing this knowledge. This creates a culture of writing and emphasizes feedback. Quality is a tool for improving management. Standards place a high emphasis on participants and are seen as a vehicle for improvement, a source of business progress and the enrichment of their intangible assets. In this context, staff suggestions are a welcome opportunity to create and share knowledge. Suggestion systems have several advantages such as: Increased production, risk prevention, problem solving, and customer satisfaction. As part of a quality process, suggestion management is a method of continuous improvement that must contribute to the effectiveness of a quality management system. 2. SUGGESTION SYSTEM 2.1. Overview on suggestion systems A suggestion system allows the definition of methods of expressing, collecting, recording and implementing improvement suggestions (Huberac, 2001, p.121). Suggestion systems, in the formal sense, appeared in Sweden in 1741 at the Swedish Royal Commission in Stockholm (Sander, 1995). In 1871, in the United Kingdom, William Denny Shipbuilding and Yal & Towne Manufacturing set up suggestion systems (Sander, 1995). In France, Michelin introduced its suggestion system in 1927, which is still in use today (Gueslin, 1999). Suggestion systems have grown greatly since the 21st century. Impacted by world wars, suggestion systems quickly became a means of progress for companies (Sander, 1995). Indeed, political and economic actors have understood the interest of a suggestion system in order to increase production and efficiency of the working processes. Since then, suggestion systems have spread to the rest of the world and remain very relevant. 2.2. Suggestion systems and quality management All staff must adhere to the quality management system in order to achieve a company’s objectives. They place the participants at the heart of the quality process and as a precondition for its success. Involving staff in a quality approach means actively including them in the business processes. It also means encouraging their creativity to generate new ideas. The ISO 15189 standard, specific to medical biology laboratories, formally introduces, in its latest version of 2012, the notion of staff suggestions as a requirement. This is a requirement that medical laboratories should apply. Chapter 4.14.4, "Staff Suggestions", requires that the: "Laboratory management shall encourage staff to make suggestions for the improvement of any aspect of the laboratory service. Suggestions shall be evaluated, implemented as appropriate and feedback provided to the staff. Records of suggestions and action taken by the management shall be maintained" (AFNOR, 2012, p. 17). This requirement implies that a medical biology laboratory must implement a suggestion system. This should be a multi-stage system- from the encouragement of staff to make suggestions for improvement, to the archiving of these. The medical biology laboratory must take into consideration the different sources of staff suggestions. These can come from an internal meeting, an idea box, comments, and from familiarity with the documents. These suggestions must be noted and used in order to capitalize on the experiences. http://www.iaeme.com/IJM/index.as 98 editor@iaeme.com
  3. Lamiae Bentaleb and Prof. Mimoun Zouhdi This requirement can be adopted in other fields of activity to enhance staff suggestions. 2.3. Proposal of a framework for staff suggestion management Staff suggestions represent an opportunity for the creation of new knowledge. Within a quality management system, staff suggestions can be managed according to the following process: Figure 1 The suggestion process management. 2.3.1. Need Expression The need expression phase ensures the relevance, the legitimacy, and the added value of the suggestion to the company’s activity processes. A suggestion for improvement may be motivated by several factors. These factors include • Evolution of normative and regulatory requirements, • Implementation of a new activity or process, • Appearance of a new technology in the company’s activity fields; • Appearance of a potential risk that could affect the smooth running of the processes; • Organization, harmonization, and improvement of professional practices; Each person can make a suggestion for improvement without it being limited solely to his or her sector of activity. 2.3.2. Suggestion transcription on the quality form Staff wishing to make suggestions for improvement should transcribe their suggestions on a support (on paper or in digital form). A suggestion identification number has to be assigned to identify the collected suggestions. http://www.iaeme.com/IJM/index.as 99 editor@iaeme.com
  4. The Management of Staff Suggestions For Knowledge Creation 2.3.3. Analysis of the suggestion and preventive action to be implemented The suggester sends the suggestion to his Sector Manager which studies the relevance of the suggestion for improvement. For that, he carries out an analysis of risks and trends. If the action requires the intervention of other participants such as the director, the quality manager, or other managers, the risk and trend analysis is carried out in their presence. The purpose of this analysis is to study the potential risk to be neutralized or the desired improvement to be implemented. The result of this analysis allows the sector manager to decide whether or not to implement a preventive action in order to respond to the suggestion made. If the preventive action is decided on, the sector manager defines the responsibilities, the objectives to be attained, and the time required to carry out the preventive action. This action is recorded at the action plan level specific to the process concerned. In the case where the suggestion is declined and not accepted, the person in charge of the sector informs the issuer of the reasons for the refusal of the suggestion. 2.3.4. Implementation, monitoring and verification of the effectiveness of actions The sector manager, or the person responsible for carrying out the designated action, monitors the progress of the implementation of the preventive action. They verify compliance with the deadline for carrying out the preventive action. Once the action is carried out, the sector manager checks its effectiveness. The effectiveness of a preventive action has to be measured according to predefined criteria. These criteria can be proposed by the Quality Department. When the effectiveness of the preventive action is measured, the sector manager in question completes and reviews the quality form. He then sends the form to the quality manager. 2.3.5. Communication of the preventive actions decided The suggester is informed of his suggestion’s results (via internal messaging for example). In addition, the preventive actions decided upon, following the suggestions of the staff, are transcribed on the action plans. This action plan, on a predetermined frequency, can be posted in order to inform the issuer of the suggestion and the sector staff of the action’s progress in place. 2.3.6. Conclusion and capitalization of the suggestion The quality manager receives the suggestions validated by the responsible of the sector concerned. It concludes them by ensuring the effectiveness of the preventive action implemented and compliance with the application of the suggestion process management. In a quality management system, the quality manager presents the annual review of suggestions and preventive actions during the management review. The suggestion for improvement and its preventive actions has to be retained for the purpose of capitalizing the experiment and sharing knowledge (for example: on the internal quality software). Depending on the case, a preventive action can be generalized to fit similar processes. The documents (procedure, operating mode, instruction, etc.) are thus modified or new documents are created. 3. CONCEPT OF KNOWLEDGE CREATION Knowledge is defined as a set of data and information, and a combination of, for example know- how, experience, emotion, believes, values, ideas, intuition, curiosity, motivation, learning styles, attitude, ability to trust, ability to deal with complexity, ability to synthesize, openness, http://www.iaeme.com/IJM/index.as 100 editor@iaeme.com
  5. Lamiae Bentaleb and Prof. Mimoun Zouhdi networking skills, communication skills, attitude to risk and entrepreneurial spirit to result in a valuable asset which can be used to improve the capacity to act and support decision making. Knowledge may be explicit and/or tacit, individual and/or collective (CEN, 2004, p. 10). Over the last decade, there has been a growing interest in knowledge creation processes. According to Massa and Testa (2009, p.130), Knowledge creation/acquisition is the process of generating knowledge internally and/or acquiring it from external sources. Knowledge creation, when defined as a process, refers to the initiatives and activities undertaken towards the generation of new ideas or objects (Mitchell and Boyle, 2010, p.69). Several researchers have proposed models on the dynamics of knowledge creation. Examples of these models are shown in Table 1. Table 1 Models of knowledge creation Author Model Principle Wiig (1993) The Wiig Model A three-pillar structure for the identification of for Building and knowledge of the domain, evaluation and appreciation Using Knowledge of that knowledge in relation to their activities, and management of activities related to knowledge manipulation (based on creation, manifestation, use and transfer of this knowledge). Hedlund N-Form Analyze two sets of concepts: tacit / explicit (1994) Organisation knowledge and the four levels of social aggregation model (individuals, small groups, organizations, inter- organizational domain). Nonaka and SECI A model that identifies four types of tacit and explicit Takeuchi "conversion of knowledge" through the creation of (1995) organizational knowledge. In their spiral model organizational knowledge is created by socialization (tacit to tacit), externalization (tacit to explicit), combination (explicit to explicit) and internalization (explicit to tacit) Szulanski Szulanski Model This model deals with the transfer of best practices (2000) from a transmitter to a receiver within the organization in four stages: initiation, implementation, access, integration. Four factors influence transfer: characteristics of the source, the receiving unit, the message and the context. Grundstein Model for Global It is a cycle that makes it possible to distinguish the (2000) Knowledge concepts of knowledge management and Management capitalization of knowledge. The four processes: Identify, Preserve, Valorize, Refresh are the capitalization cycle. The last process: Manager, concerns the management of this cycle - therefore knowledge management. 4. MANAGEMENT OF STAFF SUGGESTIONS AND KNOWLEDGE CREATION PROCESS The management of suggestions and the principle of knowledge creation have some similarities. The two notions require the implementation of a process that takes into account the context and environment of a company. Individuals are also at the heart of these two processes. These commonalities underscore the importance of environmental and organizational variables. Some http://www.iaeme.com/IJM/index.as 101 editor@iaeme.com
  6. The Management of Staff Suggestions For Knowledge Creation variables are conducive to the creation of knowledge. The complexity of the environment and the variety of challenges faced by companies require new ideas, and above all, a creative spirit. Suggestion systems have several advantages in terms of the knowledge creation process. These systems are oriented towards the prevention of potential risks through the proposal of new measures or through the search for improvement opportunities. These systems encourage the staff to have a creative attitude. Creativity is a process of generating ideas and new solutions. Knowledge is created by and among employees, in turn, letting the internal environment of the workplace be enhanced. In the field of knowledge management, the individual is seen as the source of knowledge creation. For Nonaka (1994, p. 17), “knowledge is created by individuals. An organization cannot create knowledge without individuals. The organization supports creative individuals or provides a context for such individuals to create knowledge”. Knowledge is divided into two categories, explicit and tacit. Explicit knowledge is formalized and articulated. It is transmissible into a formal language. Tacit knowledge has a personal aspect that makes it difficult to formalize and convey. They are linked to the experiences of the individuals who hold them. Tacit knowledge is identified as the most strategic resource of companies (Grant 1996). There are important links between explicit and tacit knowledge. Some tacit knowledge can be transformed into explicit knowledge and vice versa. This corresponds to the principle of knowledge conversion developed by Nonaka and Takeuchi (1995). To better understand the principle of knowledge creation through a suggestions management system, we offer a theoretical application of Nonaka and Takeuchi’s matrix in the following paragraph. Figure 2 formalizes the process of suggestions management proposed in conjunction with the five-step model of Nonaka and Takeuchi. We attempt to achieve a synthesis of this figure in the next paragraph. Figure 2 The conjunction of the suggestions system and the model of Nonaka and Takeuchi. http://www.iaeme.com/IJM/index.as 102 editor@iaeme.com
  7. Lamiae Bentaleb and Prof. Mimoun Zouhdi Faced with a potential risk or a need for improvement, the necessity of a suggestion for improvement appears. Tacit knowledge is thus shared between the individuals of the same department or of the same entity. This tacit knowledge is formalized, subsequently, in textual form as structured information (example: a quality record). A justification of the concept created by the actor or team must be achieved. This stage corresponds to analyzing the risks and trends of improvement that may exist following the issuance of the suggestion. Indeed, it will be necessary to determine the value of the knowledge created by identifying the risk that it tends to prevent or the improvement it aims to put in place. The archetype construction phase coincides with the effective implementation stage, monitoring and verifying the effectiveness of preventive action. This step tends to transform the formalized suggestion into a tangible product which is an effective preventive action. The last stage of the Nonaka matrix is the extension of knowledge. The process of creating knowledge is actually "spiral". Consequently, the knowledge generated within the framework of a suggestion system is communicated, capitalized, and the documentation is updated. Knowledge is shared collectively. This can trigger an organizational learning process. 5. CONCLUSION In an ever-changing environment, it is important to consider individuals' knowledge as a strategic resource. Staff suggestion systems appear to be of fundamental importance in ensuring the sustainability of enterprises. Suggestion systems affect all entities within a company as part of a general process of continuous improvement. Knowledge and Know-how hold a prominent place in the new managerial world. Researchers have shown that new knowledge is developed by individuals and that organization plays an important role in articulating and developing this knowledge. Suggestions can be seen as indicative of the creativity of the staff; a creativity that proves to be a tool that activates the innovative process by generating and developing ideas in a professional context. Moreover, creativity, if developed collectively, will be an opportunity to improve the competitiveness of companies. A second input from a system of staff suggestions is the stimulation of the learning process. Indeed, these systems can become a favorable condition for organizational learning through the sharing and preservation of actions decided upon following the suggestions of the staff. REFERENCES [1] AFNOR. NF EN ISO 15189 : Laboratoires de biologie médicale : Exigences concernant la qualité et la compétence, 2012, pp. 17. [2] CEN. CWA 14924-5: European Guide to good Practice in Knowledge Management - Part 5: KM Terminology, 2004, pp. 10. http://research.fraserhealth.ca/media/ Euro%20Guide%20to%20good%20Practice%20in%20KM%20%20Part%205.pdf [3] Grant, R. M. Prospering in Dynamically-Competitive Environments: Organizational Capability as Knowledge Integration. Organization Science, 7(4), 1996, pp. 375–387. http://dx.doi.org/10.1287/orsc.7.4.375 [4] Grundstein, M. Le Management des Connaissances dans l'Entreprise: problématique, axe de progrès, orientations. MG Conseil, 2000. http://michel.grundstein.pagesperso- orange.fr/References/Rr050207.pdf [5] Gueslin, A. Les hommes du pneu: les ouvriers Michelin à Clermont-Ferrand de 1940 à 1980. Paris : Editions de l'Atelier, 1999, pp. 132. [6] Hedlund, G. A model of Knowledge Management and the N-Form Corporation. Strategic Management Journal, 15, 1994, pp. 73-90. http://citeseerx.ist.psu.edu/viewdoc/ download?doi=10.1.1.452.5028&rep=rep1&type=pdf http://www.iaeme.com/IJM/index.as 103 editor@iaeme.com
  8. The Management of Staff Suggestions For Knowledge Creation [7] Huberac, J-P. Guide des méthodes de la qualité: choisir et mettre en œuvre une démarche qualité qui vous convienne dans l'industrie ou les services, 2nd Edition. Paris : Maxima, 2001, pp. 121. [8] Massa, S. and Testa, S. A knowledge management approach to organizational competitive advantage: Evidence from the food sector. European Management Journal, 27(2), 2009, pp. 129–141, http://doi.org/10.1016/j.emj.2008.06.005. [9] Mitchell, R. and Boyle, B. Knowledge creation measurement methods. Journal of Knowledge Management, 14(1), 2010, pp. 67-82, http://dx.doi.org/10.1108/13673271011015570 [10] Nonaka, I. A Dynamic Theory of Organizational Knowledge Creation. Organization Science, l 5(1), 1994, pp. 14-37, http://www.svilendobrev.com/1/Nonaka_1994- Dynamic_theory_of_organiz_knowledge_creation.pdf [11] Nonaka, I. and Takeuchi, H. The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. New York: Oxford University Press, 1995, pp 56-123. [12] Sander, B. Les systèmes de suggestions en révolution: comment libérer les capacités d'initiative et de créativité du personnel. Paris : JVDS, 1995, pp.25-32. [13] Dr. M. A. Shakila Banu and A. Vidhya. A Study on Driving in-Role Performance Through Citizenship Behavior, Knowledge Sharing Behavior and Organizational Commitment in Multilink Company, Hosur. International Journal of Management, 7(2), 2016, pp. 593-600. [14] Dr. S. Ravichandran, Critical Success Factors (CSS) For Effective Implementation of Knowledge Management System – A Case Study In Software Project Organization, International Journal of Computer Engineering and Technology (IJCET), Volume 3, Issue 1, January- June (2012), pp. 355–361. [15] Knowledge Discovery and Twitter Sentiment Analysis: Mining Public Opinion and Studying Its Correlation with Popularity of Indian Movies, International Journal of Management (IJM), Volume 6, Issue 1, January (2015), pp. 697-705. [16] Szulanski, G. The Process of Knowledge Transfer: A Diachronic Analysis of Stickiness. Organizational Behavior and Human Decision Processes, 82(1), 2000, pp. 9-27, https://doi.org/10.1006/obhd.2000.2884 [17] Wiig, K. M. Knowledge management foundations: thinking about thinking: how people and organizations create, represent, and use knowledge. Texas-Arlington: Schema Press, 1993, pp. 379-382. http://www.iaeme.com/IJM/index.as 104 editor@iaeme.com
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