Document Type : Original Article

Authors

1 Associate Professor, Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

2 PhD. Student, Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

3 MSc Student, Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

Abstract


1- INTRODUCTION
The topic of knowledge management is of the most important ones for today’s companies and organizations. Today's competitive world has forced organizations to work harder to succeed and survive in competition and manage their knowledge more effectively. Tacit knowledge can be considered as a set of experiences, skills, work perspectives, and value and mental systems within the individual that is gained through professional and personal experiences. Examining the external environment and recognizing the factors of this environment to take advantage of opportunities and avoid threats is seriously related to the method of tacit knowledge acquisition. Therefore, the acquisition of tacit knowledge of experts is one of the key needs for gaining a competitive advantage and the organization’s success. In doing so, it is necessary to identify the experts’ mental patterns, ideas, beliefs, and attitudes toward the future.
 
2-THEORETICAL FRAMEWORK
While there is a lot of foreign research on environmental scanning, few domestic studies have been done on internal scanning. in the field of acquisition of experts’ tacit knowledge, have been also conducted very limited domestic studies. Foreign studies have more studied the effect of tacit knowledge acquisition on various dimensions, but not the identification of strategic factors. Therefore, the purpose of the present study is to provide a framework for acquiring the experts’ tacit knowledge to identify organizational opportunities and threats. this study is based on an interpretive approach and used content analysis as the data analysis strategy.
3- METHODOLOGY
After identifying the key categories extracted from the theoretical literature, in-depth interviews were conducted with experts, and based on the opinions expressed by the interviewees; related codes and categories were extracted. In this phase, data were analyzed by interpretive approach, which is a method for mentally interpreting the content of the interview data. in general, based on theoretical foundations and experts’ opinions and by conducting a qualitative content analysis, this study addressed the shortcomings of the current patterns for identifying the external strategic factors i.e., the organizational opportunities and threats. in the first step of the analysis, the initial or open coding was performed. To do so, the data were broken down into smaller units to shape bigger concepts. Then, all the extracted sentences and phrases were compared continuously and similar ones were grouped. After that, the specific concepts mentioned in all the sentences were extracted and assigned a specific code. in this way, the concepts were extracted from the heart of the interviews as the output of the content analysis.
4- RESULTS & DISCUSSION
After introducing the suggested solutions and tools for each defect expressed by the experts, the current study conducted an interpretive analysis on interviews to prevent the occurrence of defects in the proposed framework. in this framework, the proposed solutions and tools were used in three stages: pre-interview, interview, and post-interview. The proposed framework introduces solutions and tools to realize the expert tacit knowledge and identify the external environment at each phase. Therefore, the tacit knowledge of experts can be achieved to identify opportunities and threats by applying the proposed framework.
5- CONCLUSIONS & SUGGESTIONS
The framework proposed in the present study can be considered by organizational planners to provide better scanning of the environment and take advantage of opportunities with proper planning and full awareness of shortcomings in identifying opportunities and avoiding threats. the results indicated that there are some tools and solutions in each step of the proposed framework to eliminate the identified defects. these solutions must be implemented continuously over time as a basis for identifying opportunities and threats in regard to both the environmental monitoring and the acquisition of knowledge from experts. in the authors’ opinion, the proposed framework can be used to increase the quality of environmental scanning. For example, each stage suggests a solution to make the expert’s mind more focused on the future in line with drawing a long-term viewpoint.

Keywords

Abels, E. (2002(. Hot topics: environmental scanning, bulletin of the american society for information and science and technology, 28(3), 1-4.
Afrazeh, A. (2005). Knowledge Management, Concepts, Models, Measure and Implement, Tehran, Amir Kabir University Press, first edition.
Ahsan, A.; Bahadur, W.; Nan. W.; Adeel, L., & Nawaz Khan, A. (2020). Improving Team Innovation Performance: Role of social media and Team knowledge Management Capabilities, Technology in Society, 6, 101259.
Akhavan, P., & Dehghani, M. (2015). Knowledge management: acquisition of tacit knowledge of experts, malek ashtar university of technology publications, first edition, 33(1), 43-52 (in Persian).
Akhavan, P., & Judi, E. (2012). Step Operational Knowledge Management, Knowledge Maps, Tehran, atinegar's publication, second edition (in Persian).
Akhavan, P.; & Yazdimoghadam, J. (2013). Knowledge management knowledge and ethics: an analysis of knowledge conversion in an industrial organization, Journal of Management Improvement, 7(3), 24-5) in Persian).
Aldehayyat, J.S. (2015). Environmental scanning in business organizations: empirical evidence from a middle eastern country context, Management Research Review, 38(5), 459-481.
Al-Emran, M.; Mezhuyev, V., & Kamaludin, A. (2020). Towards a conceptual model for examining the impact of knowledge management factors on mobile, learning acceptance, technology in society, 61, 101247.
Andrews, M. (2019). Knowing what we know: uncovering tacit knowledge for improved organizational performance, Journal of Organizational Psychology, 18(5), 26-43.
Babalhavaeji, F., & Farhadpoor, M. (2011). Environmental scanning for collecting and using information in decision making activities of central library managers of islamic azad university, Journal of University Library and Information Research, 45(57), 151-135 (in Persian).
Bernadus, G. S.; Aedah A. R.; Sri, P. L. & Alexius, U. B. (2020). Systematic review of the builder method and product of the information system strategic planning at higher education institution in indonesian, Journal of Advanced Research in Dynamical & Control Systems. 12(6), 939-947.
Bhardwaj, M., & Monin, J. (2006). Tacit to explicit: an interplay shaping organization knowledge, Journal of Knowledge Management, 10(3), 72-85.
Bibi, G., Padhi, M., & Dash S. S. (2021). Theoretical necessity for rethinking knowledge in knowledge management literature, Knowledge Management Research & Practice, 19(3), 396-407.
Bozorginejad, K. H., & Shahamat, N. (2017). Application of infographic mapping in schools, the second international conference and the fourth national conference on management research and humanities in Iran.  (in Persian).
Danaeifard, H., & Mozaffari, Z. (2009). Promoting validity and reliability in qualitative management research: a Reflection on Research Audit Strategies, Management Research, First Year, 162-131. (in Persian).
Gandhi, S. (2004). Knowledge Management and Reference Services, The Journal of Librarianship. 30(5), 81-368.
Gillham, B. (2000). Case Study Research Methods, Continuum, London.
Harzandi, T. M., & Ebrahimi, M. (2019). Domestic and international experiences in the field of futures research systems - web-based environmental scanning, Management Futurology, 30(1), 57-72. (In Persian).
Huang, K. P.; Wang, K. Y.; & Yao, Y. H. (2019). Social network and tacit knowledge acquisition: the role of enttrepreneurs; social skill, International Journal of Organizational Innovation, 1(3), 315-327.
Huynh T. T. M.; Tran, DH.; Pham, AD. & Le-Hoai L. (2020). Quantitative structuring for the strategy map of coastal urban projects using a hybrid approach of fuzzy logic and demateL. in: Reddy J., Wang C., Luong V., Le A. (eds) ICSCEA 2019. Lecture Notes in Civil Engineering, 80.
Ma, L., & Turban, E. (2003). Strategic information systems for competitive advantage. in: decision modelling and information systems, Operations Research/Computer Science Interfaces Series, 26.
Mirshah V. F., & Nazarizade, F. (2011). Environmental scanning is a tool for creating opportunities and dealing with uncertainty conditions. comparing environmental scanning experiences in three industrial and service companies, 10th International Conference on Strategic Management, Iranian Strategic Management Association. (in Persian).
Motta, E. (2013). 25 Years of knowledge acquisition, International Journal of Human-Computer Studies, 71(2), 131-134.
Mrilhas, S., & Joberto, M. (2018). Strategic knowledge management a digital environment: tactic and explicit knowledge in fab labs, Journal of Business Research 90, 353-359.
Nazari, R. (2021). The Analysis of strategic ecology of sports tourism, Sports Business Journal, 1(1), 153-162.
Nezafati, N.; Rashidi, M.; & Taghavi, M. (2011). Comparing knowledge extraction techniques and presenting a structured methodology for documenting knowledge, Public Management Perspectives Quarterly 4 (14), 63-86.  (In Persian).
Nistorescu, T. (2006). A Model for enterprises environmental scanning, university of craiova, faculty of economics and business administration, Management & Marketing journal, 4(1), 57-62.
Nonaka, I. (1994). A Dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14-37.
Nugroho, A. S.; Winarno, W. W., & fatta, H. A. (2021). Strategic infrmatin system panning and infrmatin technology, Literasi Nusantara, 1(2), 128 - 140.
Quarchioni, S.; Paternostro, S., & Trovarelli, F. (2020). Knowledge management in higher education: a literature review and further research avenues, Knowledge Management Research & Practice, 1-16.
Rafiei, A.; Amooshahi, E.; Golestan Hashemi, M., & Cheshm Brah, M. (2015). Presenting a model for acquiring the tacit knowledge of experts, the first international conference on accounting and management in the third millennium, rasht, pishgaman novin research company. (in Persian).
Rathi, D.; Shiri, A., & Cockney, C. (2017). Environmental scan: a methodological framework to initiate digital liabrary development for communities in canada north. aslib, Journal of Information Management, 18(1).
Robinson, C. V., & Simmons, J. E. (2018). Organizing environmental scanning: exploring information source, mode and the impact of firm size. Long Range Planning, 51(4), 526-539.
Sarmento, A. (2005). Knowledge management: at a cross-way of perspectives and approaches. Information Resources Management Journal, 18(1).
Sawyerr, O. O.; Ebrahimi, B. P., & Thibodeaux, M. S. (2000). Executive environmental scanning, information source utilisation and firm performance: the case of nigeria, Journal of Applied Management Studies, 9(1), 95-115.
Semih, O., Soner K. S. & Isik, E. (2009). Long term supplier selection using a combined fuzzy mcdm approach: a case study for a telecommunication company, Journal of Expert Systems with Applications, 36(1), 87–95.
Shahin, A., & Zairi, M. (2005). Strategic management, benchmarking and the balanced score card: an integrated methodology, 6th International Management Conference.
Sheng, M. L. (2019). Foreign tacit knowledge and a capabilities perspective on mnes’ product innovativeness: examining source-recipient knowledge absorption platforms, International Journal of Information Management, 44, 154-163.
Sheng, M. L. (2019). Foreign tacit knowledge and a capabilities perspective on mnes’ product innovativeness: examining source-recipient knowledge absorption platforms, International Journal of Information Management, 44(1), 154-163.
Sleuwaegen, L. (2013). Scanning for Profitable (international) growth, Journal of Strategy and Management, 6(1), 96-110.
Smith, R. (2001). A Roadmap for knowledge management, Journal of Knowledge Management, 9(3), 6- 16.
Stemler, S. (2001). An Overview of content analysis, Practical Assessment, Research & Evaluation, 7(17), 137-146.
Talamini, E.; Wubben, E. F.; Domingo's P, A. & Dewes, H. (2013). Scanning the macro-environment for liquid biofuels: a comparative analysis from public policies in brazil, united states and germany, Journal of Strategy and Management, 6(1), 40-60.
Wagner, P. W. (2002). Knowledge Acquisition, encyclopedia of information systems, 3.
 Wang, C.; Luong, V., & Le, A. 2019. Lecture Notes in Civil Engineering, 80. Springer, Singapore.
Weick, K. E., & Daft, R. L. (1984). Toward a model of organizations as interpretation systems, Academy of Management Review, 9(2), 284-295.
Wei-Tsong, W., & Su-Ying, W. (2020). Knowledge management based on information technology in response to covid-19 crisis, Knowledge Management Research & Practice 19(4), 468-474.
Ziaee A.; Najaf Aghaei A. E.; Saffari M.; Yousefi, R.; Zenouz, C., & Hilvoorde I. V. (2020). Future drivers of leisure time physical activity in iran, physical culture and sport, Studies and Research, 86(1), 66-80.
Ziaee, S., & Rasouli, L. (2015). Factors affecting environmental scanning and data collection and use in the field of electronic publishing, Quarterly Journal of National Library and Information Studies, 26(1), 101-111.
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