Document Type : Original Article

Authors

1 PhD student in Behavioral Management, Ferdowsi University of Mashhad

2 Professor of Information Systems, Ferdowsi University of Mashhad

3 Associate professor of Management, Ferdowsi University of Mashhad

4 Professor of Management, Ferdowsi University of Mashhad

Abstract

1- INTRODUCTION
The last decade has seen many changes in the global business environment. thus, technology-driven businesses have been replaced by knowledge-based businesses. human resources are now the most important asset of organizations. but not all employees are a source of competitive advantage for organizations. rather, knowledgeable employees can create competitive advantage and added value for the organization. therefore, managers of organizations must know how to provide a suitable environment and opportunities for greater participation of knowledgeable employees in the organization, because the processes of identifying, recruiting, training, managing, and retaining are more difficult for knowledgeable staff than for other employees. organizations should know more about the personality and behavior of knowledgeable employees and develop appropriate programs to attract, train and interact with them as well as adopt necessary strategies to make them satisfied and loyal.
 
2- THEORETICAL FRAMEWORK
By examining most of the key factors affecting the success of knowledge management, the human factor or knowledge staff is common in most models. the term knowledge worker was first introduced by peter drucker. in his opinion, a person who works with information and develops or applies knowledge in the workplace is a knowledge worker. knowledge employees are employees who have a high level of education and experience and think about life and are mainly engaged in technical and managerial positions. on the other hand, they can have a major impact on the company and its performance. the nature of these employees requires a high level of autonomy and knowledge workers usually need to work with colleagues in similar departments, other departments, or even with employees of different organizations. knowledge workers do not repeat the same task every day, so they do not follow the instructions given to them, but use their technical and intellectual knowledge to perform tasks. personality is one of the most important factors that can be evaluated in the first call, the job seeker. because it seems difficult to pay attention to the applicant's situation in many environments and situations, a person's personality information can be used to predict his or her future behavior. the five-factor model, mbti model, and enneagram typology model are some of the most important personality models used in this study.
3- METHODOLOGY
This research was a mixed study with the interpretive philosophy in its qualitative phase (descriptive phenomenology). in the quantitative phase of the research, the pragmatism philosophy was used. the statistical population of the qualitative phase was comprised of experts such as knowledge management experts in 23 companies in Mashhad city having R&D departments. The sampling method was snowball continued to 21st interview to reach theoretical saturation. The qualitative data collection tool was semi-structured interviews and gathered data were analyzed using MAXQDA software.
 
4- RESULTS & DISCUSSION
Descriptive phenomenology was conducted based on the colaizzi approach. the following steps were followed: first, the interviews' content was converted from audio to text mode. at this step, a total of 270 open codes were extracted. in the next step, the codes list was referenced and some codes were integrated with each other. also, irrelevant and duplicate ones were removed from the existing list, and categories were determined based on expressions and codes extracted from previous steps. finally, eleven personality categories were extracted including introversion, conscientiousness, judgment, realism, neuroticism, incompatibility, conservatism, narcissism, thinking, self-control, and openness.
5- CONCLUSIONS & SUGGESTIONS
When hiring knowledge staff, routine personality tests should be performed to select and attract people with the closest personality type to knowledge jobs. one of the most important results of this study was identifying the introversion of knowledge staff as a key personality dimension. due to the characteristics of introversion, it is appropriate to try to provide a suitable work environment for introverts such as a place for mental resting, walking, exercising, and even sleeping at work. in regard to knowledge employees' internal locus of control, managers are recommended not to externally monitor and control their work process and, instead, control their work output. in regard to the psychotic characteristics of knowledge workers, it is suggested to avoid imposing stress and work pressure on and setting a short period of time for them. in general, organizational processes should be redefined for knowledgeable employees. even if necessary, two types of processes should be implemented for knowledge and non-knowledge employees. due to the thinking characteristic, it is suggested to provide necessary conditions and situations for knowledge employees to think.

Keywords

References
Adelstein, J. (2007). Disconnecting knowledge from the knower: the knowledge worker as Icarus. Equal Opportunities International 26(852):871.
Asar, M., & Abasaltian, A. (2015). Study of knowledge sharing behavior considering personality structures and intelligence competence of individuals. Human resource Magazin of NAJA. 39(10). Pp. 1-20. (in persian)
Asgari, G.; Ganji, R., & Asadi, M. R. (2014). Describe the personality profile of research and development jobs in an industrial organization. Journal of Organizational Behavior Studies. 1(2). pp 31-46. (in persian)
Ayub, M. U.; Kanwal, F., & Kausar, A. (2019). Developing knowledge creation capability: the role of big-five personality traits and transformational leadership”. Pakistan Journal of Commerce and Social Sciences. 13(1). 30-61.
Chen, S. H. (2017). An Evolutionary game model of knowledge workerscounterproductive work behaviors based on preferences, complexity, Vol 2017, https://doi.org/10.1155/2017/3295436.
Choi, B., & Lee, H. (2003). An Empirical investigation of knowledge management styles and their effect on corporate performance". Information & Management 40(5):403-417.       
Dunne, E.; Bennett, N., & Carre, C. (1997). Higher education: core skills in learning society. Journal of Education Policy, 12(6), 511-525.
Etebarian, A.; Arefi, M., & Salehizadeh, S. (2010). Assessing the level of knowledge-technical and behavioral competence of the staff of Isfahan municipality cultural and recreational organization. Economy & Business Journal.  (2). pp. 1- 13. (in persian)
Farkas, M. F., & Torok, L. G. (2011). Knowledge workers, competencies, virtuality and management. Polish Journal of Management Studies. Vol 4. pp 67 – 77.
Falltah, M. I. (2019). Knowledge workers mobility in innovative organizations: the role of individual differences. International Journal of Business and Management. 14(9). pp 23 – 35.
Ghorbanizadeh, V.; Kheyrandish, M., & Adnanrad, A. (2017). Factors affecting the retention of knowledge employees with the aim of developing quality of work life programs at the institute for international energy studies. Journal of Human Resource in Oil industry. 8(32). pp 149 – 176. (in Persian)
Gholipoor, R.; Amiri, A. N.; Mahdizadeh, M. R., & Zamanifar, M. (2013). Identifying the factors affecting the retention of knowledge workers in Iran petroleum refining and distribution company. Journal of organizational culture. 11(2). pp 133-161. (in persian)
Hasanzadeh, M. A. (2016). National requirements for the establishment of knowledge management. Monthly Knowledge Management of Iranian Port and Maritime Society. 1(1). pp 3-7. (in persian)
 Igielski, M. (2015). Assumptions to the model of managing knowledge workers in modern organizations. Management. 21(1) pp 133- 147.
Johnson, D. (2006). Skills for the knowledge worker. Teacher Librarian, 34(1), 8-13.
Lindberg, M. E. (2008). Higher education-to-work transitions in the knowledge society: the initial transition and positional competition point of view. Higher Education in Europe, 33(4), 375-385.
Leon, R.D., (2011). Creating the future knowledge worker. Management & Marketing Challenges for the Knowledge Society. 6(2), pp. 205-222.
Lotfi, M.; Muktar, S. N.; Ologbo, A. C., & Chiemeke, K. C. (2016). The influence of the big-five personality traits dimensions on knowledge sharing behavior. Mediterranean Journal of Social Sciences. 7(1).pp 250 – 241.
Lindberg, M.E. (2008). Higher education-to-work transitions in the knowledge society: the initial transition and positional competition point of view. Higher Education in Europe, 33(119).      
Mládková, L. (2011). Knowledge management for knowledge workers. The Electronic Journal of Knowledge Management 9(3). pp 248-258, available online at www.ejkm.com.
Memarzadeh, Gh., & Mehrnia, A. (2010). Investigating the necessity of proportion of employed personality with high-risk operational jobs "proper recruitment and employment. Management Researches in Iran. 14(3). pp 227- 249. (in persian).
Mladkova, L. (2012). leadership in management of knowledge workers. Procedia-social and behavioral sciences 41:243-250
Mlakova, L. (2015, a). Impact of personality of knowledge worker on his work with knowledge. International Businesses Management 9(1): 93-98.
Mlakova, L. (2015, b). Knowledge workers and the principle of 3s (self-management, selforganization, self-control). 3rd international conference on leadership, technology and innovation management. procedia - social and behavioral sciences 181.pp 178 – 184.
Mlakova, L.; Zouharová, J., & Nový, J. (2015). Motivation and knowledge workers”. 11th international strategic management conference 2015. Procedia - Social and Behavioral Sciences 207. pp 768 – 776.
Pagani, R. N.; Pillati, L. A., & Carvalho, H. G. (2009). Characteristics and necessary abilities to the knowledge worker. knowledge workers: issues and perspectives. Agartala: The ICFAI University Press - IUP, v. p. 52-65.
Prodan, M.; Prodan, A., & Purcarea, A. A. (2019). Three new dimensions to people, process, technology improvement model. Advances in Intelligent Systems and Computing 353:481-490. DOI: 10.1007/978-3-319-16486-1_47
Reddy, K., & Govender, K. K. (2014). Retaining knowledge workers: a case study of a leading south african bank. 5(23). 2768-2776.
Riso, D. R., & Hudson, R. (2017). Personality types: using the enneagram for self-discovery. translate by Iraj Saberi & Shirin Jazayeri. Arjmand Publishing. (in Persian)
Rooney, D.; Hearn, G., & Ninan, A. (2005). Handbook on the knowledge economy. Edward Elgar Publishing.
Saide, Hsiao-Lan Wei, Apol Pribadi Subriadi, Okfalisa, Nurul Aini, and Nesdi Evrilyan Rozanda (2016).  Employee’s characteristics in knowledge transfer and performance. Computer Science & Information Technology.
DOI: 10.5121/csit.2016.60707.
Sahlberg, P., & Boce, E. (2010). Are teachers teaching for a knowledge society? Teachers and Teaching, 16(1), 31-48      
Sheihk, A.; Aghaz, A., & Mohammadi, M. (2019). Cyberloafing and personality traits: an investigation among knowledge-workers across the Iranian knowledge-intensive sectors. Behaviour & information thechnology. 38(12). pp 1213-1224.    
Shirazi, A., & Azhdari, G. (2014). A Model for designing and assessing scholars' job competencies: case study. Human resource management Journal. 4(2). pp 65-82. (in Persian)
Siadat, S. H., & Noroozivafa, R. (2016). Measuring the readiness of knowledge management implementation according to key success factors. Chemanadaz Modiriat Dolati. 27. pp 145-163. (in Persian)
Surawski, B. (2019). Who is a “knowledge worker” – clarifying the meaning of the term through comparison with synonymous and associated terms? Management. 23(1). 105-133.
Tho, N. D., & Trang, N. T. M. (2015). Can knowledge be transferred from business schools to business organizations through in-service training students? SEM and fsQCA findings. Journal of Business Research. 68(6), June 2015, Pages 1332-1340.
Teh, P. L.; Yong, C. C., & Chong, C. W. (2011, April). Do the big five personality factors affect knowledge sharing behaviour? a study of malaysian universities. Malaysian Journal of Library & Information Science, 16(1), 47–62.
Wang, C. C., & Yang, Y. J. (2007). Personality and intention to share knowledge: an empirical study of scientists in an R&D laboratory. Social Behavior and Personality: an International Journal, 35(10), 1427–1436.4), 375-385
Wells, J. (2019). KMWorld 100 companies that matter in knowledge management 2019. www.Kmworld.com
Yousofi Amiri, M.; Gholipoor, A.; Abbasi, D., & Ghorbanloo, M. (2015). Investigating the role of personality traits in knowledge sharing (case study: employed students of the faculty of management, university of Tehran). Journal of organizational culture. 13(3). pp 647-665. (in Persian)
Zhan, H.; Liefang, P.; Ma, Y., & Lin, J. (2014). The Research on characteristics of e-commerce enterprises’ knowledge workers and their motivating factors: a review and comparison study. 25th Australasian Conference on Information Systems.
Zhang, L.; Fei, W., & Wang, L. (2015). P-J Matching model of knowledge workers”. 19th international conference on knowledge based and intelligent information and engineering systems, Procedia Computer Science 60. pp 1128 – 1137.
Zulkifli, I. (2010). Knowledge worker training in malaysia. thesis for the degree of doctor of philosophy. international islamic university Malaysia.
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