Knowledge management, decision making, recruitment, personnel selection, MCDM multiple criteria decision making, MCDM methods, TOPSIS Technique for Order Preference by Similarity to Ideal Solution, AHP Analytical Hierarchy Process, SAW Simple Additive Weighting, Uber
Decision-making is an intellectual process taking the assessment to a collection of a course of activities among dissimilarities. Making decision creates a last choice; therefore, in terms of recruitment and personnel selection the outcome is the successful applicant (Timar and Balas, 2007). Moreover, decision-making is a cognitive procedure, which maybe rational or unreasonable based on the knowledge kind. In today's business, organisations require many resources to produce goods and services in order to gain competitive advantages. Therefore, human capital in a firm represent the power and strategy of how these resources impose the development in the management (Karabasevic et al, 2015). Recruitment and personnel selection are a crucial part of employment and human resources. Moreover, they play tremendously very significant task in the organisation.
[...] Consequently, communication is vital in knowledge management, however, communication methods should be used to generate knowledge and its practices. MCDM Methods: Multiple Criteria Decision Making is believed to be as a difficult decision making method or tool includes quantitative and qualitative aspects. MCDM is a selection of the best from a set of alternative, each of which is evaluated against multiple criteria. Moreover, Multi-Criteria Decision Making methods have been incredibly vital to accommodate various kinds of applications. In recent years, several techniques and approaches have been suggested to pick the optimal probable option for MCDM. [...]
[...] An active member of Knowledge creation and distribution Society. Close observations, years of industry exposure, and in-depth understanding of dynamic environments offered me with new insights into the field for using information as a competitive resource, which keep me focused on my performance excellence in the KM field to fulfill the sustainable growth and development requirements of the firm. Profile summary: - 6 years of industry exposure in strengthening KM services - Updated with the knowledge of advanced KM tools and practices - Cultivated a strong growth sense to bring out new possibilities - Constant engagement in developing management information systems (MIS) - Originated advanced information sharing methodologies - Professional data warehousing and data mining Education: 2017 MSc Knowledge Management and Decision Making 2014 BA in Business 2012-2013 Diploma in International Business 2011 Foundation course Qualifications: - Master Degree in Knowledge Management - First with honour in Business - Certificate in creative writing and communication. [...]
[...] Koenig, M.E., (1999). Education for knowledge management. Information services & use, pp.17-31. Koenig, M.E., (1990). Information services and downstream productivity. Annual review of information science and technology pp.55-86. &Tngoy, O. and Kurt, E., (2009). Communication in knowledge management practices: A survey from Turkey. Problems and Perspectives in Management, pp.46-50. Klein, J.H., (2008). Some directions for research in knowledge sharing. Knowledge Management Research & Practice, pp.41-46. [...]
[...] Psychological assessment in the workplace: A manager's guide. John Wiley & Sons. Timar, D.B. and Balas, V.E., (2007), August. Decision-making in human resources selection methodology. In Soft Computing Applications SOFA 2007. 2nd International Workshop on (pp. 123-127). IEEE. Maheshwarkar, M. and Sohani, N., (2016). Evaluation of Knowledge Management Levels Based on Multi Criteria Analysis. Management Science and Engineering, pp.5-23. [...]
[...] Furthermore, Uber has declared the importance of knowledge management in its strategy for its continuous success. The technological company is using two different kinds of knowledge, tacit and explicit in its operations. Additionally, Uber has defined knowledge as organisation's intellectual asset to be functionally beneficial for customers and partners. Based on Uber job description advertisement, the company has requested a successful candidate that could fit in its requirements within the criteria below Education: The adequate application of knowledge management lies upon the smart and creative understanding of the organisation. [...]
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