Proposing a model for commercial soft technology assessment in Urban Commercial Uses (Case Study: Small and Medium Enterprises of Bushehr City)

Subject Areas : Regional Planning

mohammad saadatmand ¹ , Alinaghi MoslehShirazi ² , Ali Mohammadi ³ , Moslem Alimohammadlo ⁴

1 - PhD Student of System Management, Shiraz University, Shiraz, Iran
2 - Professor of Management Department, Shiraz University,Shiraz, Iran
3 - Professor of Management Department, Shiraz University,Shiraz, Iran
4 - Associate Professor of Management Department, Shiraz University,Shiraz, Iran

Received: 2020-07-16 Accepted : 2020-09-02 Published : 2022-07-23

Keywords: urban planning, Commercial Soft Technology, Technology Assessment, urban business use, Small and Medium Enterprises(SMEs),

Abstract :

Being aware of the new technology conditions after executing and identifying the consequences of execution of these technologies have been always a basic and vital issue in technology management that can help gain competitive advantages in the commercial applications through making correct selections of the new technology according to the conditions of the in the urban business uses and the specifications of the agency while having an extensive effect on the regional sustainable development. Therefore, the purpose of this study is to develop a systematic model to assess commercial soft technology in small and medium enterprises (SMEs) operating in the urban commercial sector of Bushehr. For this purpose, the sequential mixed method in three stages (qualitative, Tool design, quantitative) is applied. At the first step (qualitative part), the themes were taken from in-depth interviews (up to theoretical saturation) with 25 experts, consisting of small and medium enterprises and municipal managers. The received data were coded and 157 key codes were identified in the form of 57 basic themes, 25 organizing themes, and 6 global themes. In the second step, the soft technology analysis mechanisms were adjusted using the "Technology Atlas" and "Daddario" models Implemented in one of the business units in the urban business use sector of Bushehr city. The results of this study show the main components for assessing commercial soft technology are technology acceptance level, technology impact level, technologist human, technology life cycle, degree of automation and technology transfer. The findings of this study indicate this model can analyze the features, characteristics, consequences, and outcomes of using commercial soft technologies in urban business use. Also, the results of executing the model showed that the soft management and marketing technologies with the assessing coefficients 0.62 and 0.6 are the most complex and extensive technologies among the soft commercial technologies in the urban business uses in Bushehr.

References:

1. Abedi Jafari, H.Taslimi, M. Faghihi, A.,& Sheikhzadeh, M. (2011). Content analysis and content analysis: A simple and efficient way to explain patterns in qualitative data. Strategic Management Thought 5 (2): 151-198. {In Persian}.


2. Alirezaie, A and Moradi, A (2012). A Study of Factors Affecting Soft Technology Acquisition at Technology Management Center (AIC Research Complex). Presented at the Third Executive Management Conference, Tehran.


3. Ansari, M., Asghari Zadeh.,& A, Oskooi, (2007). Assessment of technology components in Tehran electricity function companies using SCAPE Model. Management Knowledge, 20 (77): 3-20.{In Persian}.


4. Archibugi, D., & Pietrobelli, C. (2003). The globalisation of technology and its implications for developing countries: Windows of opportunity or further burden?. Technological Forecasting and Social Change, 70(9), 861-883.


5. Botchie, D., Sarpong, D., & Bi, J. (2018) ‘A comparative study of appropriateness and mechanisms of hard and soft technologies transfer’, Technological Forecasting and Social Change, 131, 214-226.


6. Creswell, J.W.,& Creswell, J.D.(2003). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications


7. Farazkish, M.,& Dastranj, N. (2019). Selecting and Applying Science, Technology and Innovation Evaluation Indices. Science and Technology Policy, 11(2), 579-598. {In Persian}.


8. Farnoudi, S. (2009), Proposing a health technology assessment framework in the healthcare system of Iran (Case-study: Robolens Robot), Science and Technology Policies, 2, 3, 75-86.


9. Federici, S., & Scherer, M. (2017). Assistive technology assessment handbook. CRC press.


10. Feghhifarahmand,N.(2004). Organizational Technology Management. Forouz Publishing, First edition, Volume I. {In Persian}.


11. HajiAkhoundi, A., Hashemzadeh, Gh. R., Rahmani, H., & Mirkazemi, M. (2013), An assessment model for communication technologies in mobile communication technology, Information Technology Management, 5, 4, pp. 47-66.


12. Haleem, A., Mannan, B., Luthra, S., Kumar, S., & Khurana, S. (2019). Technology forecasting (TF) and technology assessment (TA) methodologies: a conceptual review. Benchmarking: An International Journal.


13. Hauser, A., Eggers, F., & Güldenberg, S. (2020) ‘Strategic decision-making in SMEs: effectuation, causation, and the absence of strategy’, Small Business Economics, 54(3), 775-790.


14. Hossein zadeh, M., Mehregan, M., Kiani, M. (2013). Operations Research. Science or Technology? What is its significance?. Journal of Science and Technology Policy ,5 (4): 46-33. {In Persian}


15. Ille, F. R. (2009). Building Chinese global brands through soft technology transfer. Journal of Chinese Economic and Foreign Trade Studies, 2(1), 47-61.


16. Jin, Z. (2002). Soft technology: the essential of innovation. Futures Research Quarterly, 18(2), 1-24.


17. Jin, Z. (2011). Global technological change: From hard technology to soft technology. Intellect Books.


18. Jin, Z. (2019) The Future of Humanity: Global Civilization and China's Rejuvenation. Intellect Books.


19. Kazemi,A. Kasai,M.(2001). Production and Operations Management.Samt Publishing, First edition, Volume I. {In Persian}.


20. Khamseh, A. & Shafghat, S. (2011), Technologic ability assessment in metal industries using the technologic requirement model, Journal of Technology Growth, 7, 27, pp. 61-71.


21. Lee, M. T., Mohayiddin, M. G., & Kanesan, M. (2011). Soft technology transfer for Japanese MNCs in Malaysia: A Conceptual Model.The International Lifelong Learning Conference (ICLLL),14-15.


22. Mohammadi, M., Mohsenikiasari, M., & Saadabadi, A. (2015), Proposing a model for the assessment and prioritization of technologies in transportation, Traffic Management Journal, (37), pp. 17-38.


23. MoslehShirazi, A.& Nazari. M. (2016). Adoptive Survey of Commercial Soft Technology Systems on Small and Medium Enterprises in Iran and South Korea. J. Appl. Environ. Biol. Sci, 6(5), 43-53.


24. Nazari, M.,& Mosleh Shirazi, A. (2016). Designing a Commercial Soft Technology Transfer Model with Fundamental Data and Interactive Planning Approach (Case Study: SMEsand Medium Enterprises in Aq Qala Industrial Town). Unpublished PhD, Shiraz University, School of Economics, Management and Social Sciences. Shiraz. {In Persian}.


25. Pit, J (2014). On Technology, Foundations of the Philosophy of Technology. Translated by Mustafa Taghavi,Ameh Book Publishing Tehran. {In Persian}.


26. Ramaciotti, L., Muscio, A., & Rizzo, U. (2017). The impact of hard and soft policy measures on new technology-based firms. Regional Studies, 51(4), 629-642.


27. Rip, A. (2018). Constructive technology assessment. In Futures of Science and Technology in Society (pp. 97-114). Springer VS, Wiesbaden.


28. Safaei, B, Mosleh Shirazi, A, Mohammadi, A., & Ali Mohammadloo, M. (2018). Presentation of a System Model for Distribution of Commercial Soft Technology in Iranian Oil Industry. Journal of Technology Development Management 6: 41-70. {In Persian}.


29. Shirazi, A. N. M., Mohammadi, A., Abbasi, A., & Nazari, M. (2016). Soft Commercial Technology and its Transfer Model in Small and Medium Enterprises: A Review. International Journal of Humanities and Cultural Studies (IJHCS)​ ISSN 2356-5926, 3(2), 1631-1647.


30. Tabatabaeian, H. Sufi, B., & Bagheri, A. (2008). Investigation of Factors Affecting the Identification and Selection of Soft Technologies, SPR Case Study. Science and Technology Policy. Vol. 1, No. 3, pp. 61-71. {In Persian}.


31. Tolouei, A. & Alavimatin, Y. (2012), Ability assessment of industries in East Azarbaijan Province, Iran, and presenting suitable solutions to improve technology, Quantitative Management Research, 3, 3, 59-82.


32. Vig, N. J. (2019). Parliamentary Technology Assessment in Europe: A Comparative Perspective. In Science, Technology, And Politics (pp. 209-226). Routledge.


33. Zaremohrjerdi, Y., Resaei, H., & Ghasemigajvan, A. A. (2010), Assessment of advanced manufacturing technologies using a hybrid model of probabilistic programming and fuzzy multi-criteria decision-making, International Journal of Industrial Engineering and Production Management, 21, 4


34. Zeng, J., Phan, C. A., & Matsui, Y. (2015). The impact of hard and soft quality management on quality and innovation performance: An empirical study. International journal of production economics , 162, 216-226.

management on quality and innovation performance: An empirical study. International journal of production eco