نوع مقاله : مقاله پژوهشی (کمی)

نویسندگان

1 دانشجوی دکترای مدیریت تکنولوژی، گروه مدیریت تکنولوژی ،واحد رودهن ، دانشگاه آزاد اسلامی ، رودهن، ایران

2 گروه مدیریت صنعتی، دانشکده مدیریت،واحد تهران جنوب، دانشگاه آزاداسلامی ، تهران، ایران

3 استادیار گروه مدیریت، دانشکده مدیریت، واحد رودهن، دانشگاه آزاد اسلامی ، رودهن ، ایران

چکیده

هدف این تحقیق طراحی مدلی برای سنجش و ارزش­گذاری دانش فنی در صنایع غذایی حلال می‌باشد. تحقیق حاضر به لحاظ هدف، کاربردی و یک تحقیق آمیخته (کیفی – کمی) اکتشافی می‌باشد. جامعه آماری پژوهش در بخش کیفی شامل 20 نفر از خبرگان علمی و خبرگان اجرایی صنایع غذایی حلال بودند که با روش نمونه­گیری غیراحتمالی قضاوتی و هدفمند انتخاب شدند. جامعه آماری بخش کمی نیز شامل 250 نفر از کارشناسان صنایع غذایی استان تهران بودند که با استفاده از فرمول کوکران، حجم نمونه 152 نفر تعیین و با روش نمونه­گیری تصادفی خوشه‌ای انتخاب شدند. ابزار گردآوری داده­ها در بخش کیفی شامل مصاحبه نیمه­ساختار یافته و در بخش کمی نیز پرسشنامه محقق ساخته بود. روایی مصاحبه­ها از طریق بازآزمون تأیید شد. و روایی محتوایی پرسشنامه بخش کمی نیز توسط خبرگان تأیید شد. جهت تحلیل داده­های بخش کیفی از روش تحلیلتم (مضمون) و بخش کمی نیز از نرم افزار SPSS و PLS استفاده شد. نتایج نشان داد که مدل سنجش و ارزش­گذاری دانش فنی در صنعت غذایی شامل چهار بعد اصلی شامل: عوامل مربوط به شرکت/ سازمان، عوامل مربوط به محیط برون­سازمانی، عوامل مربوط به ماهیت فناوری و عوامل مربوط به بازار فناوری و 15 مؤلفه با 72 شاخص می­باشد. نتایج پژوهش در بخش کمی نیز موید معنی­داری ارتباط بین ابعاد، مولفه­ها و شاخص­های مدل نهایی تحقیق می‌باشد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

A model for measuring and valuing technical knowledge in halal food industries

نویسندگان [English]

  • Askar asgarpour 1
  • Mohammad Hassan Cheraghali 2
  • Nada farahbakhsh 3

1 PhD student in Technology Management, Department of Technology Management, Roudhen Branch, Islamic Azad University, Roudhen, Iran

2 Department of Industrial Management, Faculty of Management, South Tehran Branch, Islamic Azad University, Tehran, Iran

3 Assistant Professor, Department of Management, Faculty of Management, Roudhen Branch, Islamic Azad University, Roudhen, Iran

چکیده [English]

Abstract
The purpose of this research is to design a model for measuring and valuing technical knowledge in the halal food industry. The present research is applicable in terms of purpose, and a mixed research (qualitative-quantitative) exploratory. The statistical population of the research in the qualitative part included 20 scientific experts and executive experts of the halal food industry, who were selected by non-probability judgmental and purposeful sampling. The statistical population of the quantitative part included 250 people from the food industry experts of Tehran province, among whom 152 people were selected using the Cochran formula and selected as the sample size by cluster random sampling method. The data collection tool in the qualitative part included a semi-structured interview, and in the quantitative part, a researcher-made questionnaire. The validity of the interviews was confirmed through retesting. And the content validity of the quantitative part of the questionnaire was also confirmed by the experts. In order to analyze the data of the qualitative part, the theme analysis method was used, and SPSS and PLS software were used for the quantitative part. The results showed that the measurement and valuation model of technical knowledge in the food industry consists of four main dimensions including: factors related to the company/organization, factors related to the extra-organizational environment, factors related to the nature of technology, and factors related to the technology market; along with 15 components and 72 indicators. The results of the research in the quantitative part also confirm the significant relationship between the dimensions, components and indicators of the final research model.
Extended Abstract
Introduction
According to the Holy Quran, having a healthy body and soul is one of the requirements to achieve happiness in this world and the hereafter. In addition to that, the increasing development of the market of halal food products in the world, its globalization and the share of global markets in this field have made it necessary to design a model for measuring and valuing technical knowledge in the halal food industry. The subject of halal and paying attention to the culture of its use is a subject that is emphasized by the religion of Islam. By reflecting on the verses and narrations, we can clearly understand that this issue is extremely important in the view of Islam, and Islam has paid a lot of attention to it, and has mentioned many effects and consequences for observing or not observing it (Destmarad & Ghaibi, 2022).
Valuating phenomena is a difficult task, but it is one of the most important activities of the present era. The rapid expansion of knowledge-based businesses in the last century has also made it necessary to examine conceptual points in the valuation of the entire business and the resources used (Zhou, 2021). So far, a standard and certain formula for valuing technical knowledge and technology of halal food industry has not been developed; but there are different methods that take into account the variables affecting the value of technology to some extent and provide acceptable solutions (Samuel et al, 2018). In valuing a technology, several factors such as environmental conditions, existence of suitable markets, etc. are influential; but in most cases, the final price of technology is determined through negotiation and depends on the negotiation skills and bargaining power of the parties to the transaction (Ghazinoory et al, 2016).
Based on this, the current research is looking for an answer to this question: What is the model of measuring and valuing technical knowledge in the halal food industry?
Theoretical Framework
Valuing technical knowledge
Today, knowledge and information is an important and vital factor for managing ambiguity and environmental complexities (Hsu et al, 2013) and technical knowledge is one of the most important intangible assets of companies, which the rapid changes in knowledge-based economies in the 21st century has increased its determination rate day by day (Gou et al, 2019). Technical knowledge is a collection of useful, confidential, innovative and valuable industrial information, along with it there is a collection of technical and non-technical knowledge and skills useful in the design, construction and other operations of an industrial unit used to produce a product or provide the required materials (Bahrami et al, 2022).
Al-shami & Abdullah (2023) examined the challenges of certification issiuing and exploitation of halal food industries and the opportunities of implementing the production system in Malaysia. The food and beverage sector, whose end products are consumed by humans, must face stricter and more extensive quality and safety standards.
Hervani et al, (2022) reviewed blockchain technology and sustainable supply chains from a social-valuation point of view. The results of this study showed that economic market valuation and non-market valuation can be used for blockchain technology.
Research methodology
The present research is applicable in terms of purpose, and a mixed (qualitative-quantitative) exploratory research. The statistical population of the research in the qualitative part included 20 scientific experts and executive experts of the halal food industry, who were selected by non-probability judgmental and purposeful sampling. The statistical population of the quantitative part included 250 people from the food industry experts of Tehran province, among whom 152 people were selected using the Cochran formula as the sample size, selected by cluster random sampling method. The data collection tool in the qualitative part included a semi-structured interview, and in the quantitative part, a researcher-made questionnaire. The validity of the interviews was confirmed through retesting. And the content validity of the quantitative part of the questionnaire was also confirmed by the experts.
Research findings
In order to analyze the data of the qualitative part, the theme analysis method was used, and SPSS and PLS software were used for the quantitative part. The results showed that the measurement and valuation model of technical knowledge in the food industry consists of four main dimensions including: factors related to the company/organization, factors related to the extra-organizational environment, factors related to the nature of technology, and factors related to the technology market; along with 15 components and 72 indicators. The results of the research in the quantitative part also confirm the significant relationship between the dimensions, components and indicators of the final research model.
Conclusion
The current research has been conducted with the aim of designing a model for measuring and valuing technical knowledge in the halal food industry. The results obtained from this research has alignment with the theoretical foundations and findings of previous research such as Al-shami & Abdullah (2023), Hervani et al, (2022), Arefi et al, (2022), Destmarad & Ghaibi (2022), Liu et al, (2021), Yousefi (2021), Zhou (2021), Nikbakht et al, (2021), Bayat et al, (2021), Valdivia et al, (2020), Vaezi et al, (2020), Woo et al, (2019), Gooran et al, (2019), Samuel et al, (2018), Ghazinoory et al, (2016), Jang & Lee (2013), Bandarian & Bandarian (2013), and khatami firoozabadi et al, (2017). Since the valuation of technical knowledge has a decisive role in realizing the commercialization of knowledge, in this direction, it seems necessary to know the model of measurement and evaluation of technical knowledge and to try to develop it; and this issue reveals the role and the contribution of the present research in this field. The obtained results can provide a useful insight to the managers of the organization in the direction of how to value technical knowledge for use in the process of knowledge management and its commercialization.
-It is suggested that, with regard to the knowledge-based economy evolution in the country and changing direction from value creation of traditional methods based on physical assets toward intangible knowledge and the importance of technical knowledge measurement, technical knowledge attachment should be considered for all technology transfer contracts.
- It is suggested that the senior technology manager, in coordination with the managers of the technical and engineering and R&D units, continuously monitor and measure the organization's technical knowledge and the organization's need for technical knowledge, and remove the obstacles related to data and information limitations. In this regard, the strategies that can be adopted for the formation of coherent and integrated databases at the company level, the implementation of database management systems related to technical knowledge, and the monitoring of the validity, transparency, accuracy and adequacy of data should be given special attention.

کلیدواژه‌ها [English]

  • Technical knowledge valuation
  • knowledge commercialization
  • extra-organizational environment
  • nature of technology
  • technology market
Abusalem, O. (2022). Valuation: A New Approach to Measure the Performance of Last Planner System. American Journal of Engineering and Technology Management, 7(1), 1-7. DOI:10.11648/j.ajetm.20220701.11
Al-shami, H. A., & Abdullah, S. (2023). Halal food industry certification and operation challenges and manufacturing execution system opportunities. A review study from Malaysia. Materials Today: Proceedings, 80, 3607-3614. https://doi.org/10.1016/j.matpr.2021.07.331
Aniqoh, N. A. F. A., & Hanastiana, M. R. (2020). Halal food industry: challenges and opportunities in Europe. Journal of Digital Marketing and Halal Industry, 2(1), 43-54. DOI: 10.21580/jdmhi.2020.2.1.5799
Arefi, A., & Fathi, M. R., & Kohyari Haghighat, A. (2023). Investigating the Effect of Halal Brand Personality in the Packaging of Food Products on Attitudinal and Behavioral Loyalty of Consumers., 13(52), 21-31.doi: 20.1001.1.22286675.1401.13.52.3.8. (In Persian).
Bahrami, K., taghizadeh, H., & Honarmand Azimi, M. (2023). Affecting Factors on the Policy Innovation Capability of Active Public and Private Companies in the Food Industries with Exploratory Factor Analysis (EFA) Approach. Public Policy In Administration, 13(48), 1-15. doi: 10.30495/ijpa.2022.67560.10901. (In Persian).
Bayat, N., & Zakeri, M., & asadi, E. (2021). Effect of organizational trust on knowledge commercialization in knowledge-based companies. Public Policy In Administration, 12(3), 65-80.. (In Persian).
Bandarian, M.; Bandarian, R. (2013) "Determining factors affecting the value of process technological innovations in the oil industry using partial least squares (PLS) technique" Innovation and Value Creation Quarterly. First year, number 3. Article code: 20200505274. (In Persian).
Bohari, A. M., & Cheng, W. H., & Fuad, N. (2013). An analysis on the competitiveness of halal food industry in Malaysia: an approach of SWOT and ICT strategy. Malaysia Journal of Society and Space, 9(1), 1-11.
Bronzetti, G., & Sicoli, G., & Chiucchi, M. S., & Giuliani, M. (2021). Intellectual Capital Measurement, Management, and Valuation. In Intellectual Capital, Smart Technologies and Digitalization (pp. 21-32). Springer, Cham. DOI:10.1007/978-3-030-80737-5_2
Chowdhury, L., & Rana, T., & Azim, M. (2019), “Intellectual capital efficiency and organizational Performance: in the context of the pharmaceutical industry in Bangladesh”, Journal of Intellectual Capital, Vol. 20 No. 6, pp. 784-806. DOI:10.1108/JIC-10-2018-0171
Destmarad, J., & Ghaibi, H. (2022). Investigating cultural, social, political and economic factors in the preparation of halal food. Halal Research Journal, 5(1), 21-45. magiran.com/p2463971. (In Persian).
Gheyasi, S., & Mehralizadeh, Y., & hosseinpour, M., & nasiri, M. (2020). Interpretive structural modeling of evaluation of intellectual capital assessment in Islamic Azad University, Ilam province. Journal of Cultural Management, 14(49), 147-164.. (In Persian).
Ghazinoory, S. S., & Rajabzadeh, A., & mavaddat, P. (2016). Designing a model for know-how valuation For Techmarts. Journal of Technology Development Management, 3(4), 45-80. doi: 10.22104/jtdm.2016.397. (In Persian).
Gooran, K., tahmasebi limooni, S., & tahmasebi, S. (2019). Assess managers’ and libraries’ point of view about exploiting the model value of Green IT in IAU libraries in Mazandaran province. Information and Communication Technology in Educational Sciences, 9(34), 115-135.. (In Persian).
Gou, J., & Li, N., & Lyu, T., & Lyu, X., & Zhang, Z. (2019). Barriers of knowledge transfer and mitigating strategies in collaborative management system implementations. VINE Journal of Information and Knowledge Management Systems. Vol, 49 No. 1, pp. 2-20. DOI:10.1108/VJIKMS-09-2018-0072
Hervani, A. A., & Nandi, S., & Sarkis, J., & Helms, M. M. (2022). Blockchain technology and socially sustainable supply chains—A valuation perspective. In Green Production Engineering and Management (pp. 39-60). Woodhead Publishing. DOI:10.1016/B978-0-12-821238-7.00007-5
Hsu, W. T., & Chen, H. L., & Cheng, C. Y. (2013). Internationalization and firm performance of SMEs: The moderating effect of CEO attributes. Journal of World Business. 48(1). 1-12. DOI:10.1016/j.jwb.2012.06.001
Jang, W. J., & Lee, C. (2013). A technology valuation model for the defense r&d with income approach. International Journal of Innovation and Technology Management, 10(04), 1350017. DOI:10.1142/S021987701350017X
khatami firoozabadi, M. A., Abbasi Azr, A., Taghva, M., & Feizi, K. (2017). The Validation Model of Electronic Services (IT) in Big Non-Profit Institutions. Business Intelligence Management Studies, 5(20), 41-76. doi: 10.22054/ims.2018.8616. (In Persian).
Kim, M. S., Lee, C. H., Choi, J. H., Jang, Y. J., Lee, J. H., Lee, J., & Sung, T. E. (2021). A Study on Intelligent Technology Valuation System: Introduction of KIBO Patent Appraisal System II. Sustainability, 13(22), 12666. https://doi.org/10.3390/su132212666
Liu, Y., Sheng, J., & Wang, W. (2021). Technology and cryptocurrency valuation: evidence from machine learning. Available at SSRN 3577208. DOI:10.2139/ssrn.3577208
Mohapatra, S., & Jena, S.K., & Mitra, A., & Tiwari, A.K. (2019), “Intellectual capital and firm performance: Evidence from Indian banking sector”, Applied Economics51(57). 6054-6067. DOI: 10.1080/00036846.2019.1645283
Nikbakht, M., & Dianti Deilmi, Z., & Momeni, M., & Ahmadi, H. (2021). Presentation of Multi-indexed Intellectual Capital Assessment Model. Financial Accounting and Auditing Research, 13(49), 1-30. Doi: 20.1001.1.23830379.1400.13.49.11.6. (In Persian).
Oppong, G.K. & Pattanayak, J.K. (2019), “Does investing in intellectual capital improve productivity? Panel evidence from commercial banks in India”, Borsa Istanbul Review. 19(3). 219-227. DOI:10.1016/j.bir.2019.03.001
Samuel, M. P., & Sastry, R. K., & Pavani, S. (2018). A strategic framework for technology valuation in agriculture and allied sectors in India-case study of chitosan. http://nopr.niscpr.res.in/handle/123456789/45330
Sun, Z. (2021). Review of the Importance of Technology Company Valuation and Commonly Used Methods. In 2nd International Conference on Management, Economy and Law (ICMEL 2021) (pp. 30-36). Atlantis Press. Doi: 10.2991/aebmr.k.210909.005
Swearingen W., & Dennis J. (2009). US department of defense technology transfer: The partnership intermediary model. International Journal of Technology Transfer and Commercialization, 8, 2/3: 270–285. DOI:10.1504/IJTTC.2009.024389
Vaezi, S.K., & MEHRABIAN, F., & Shafieepour, M. (2020). Designing a Model for Estimating the Value of Human Assets, based on the Non-monetary Valuation Approach in Guilan University of Medical Sciences. JOURNAL OF GUILAN UNIVERSITY OF MEDICAL SCIENCES, 28(112), 31-47. SID. https://sid.ir/paper/410984/en. (In Persian).
 
Valdivia, M., & Galan, J. L., & Laffarga, J., & Ramos, J. L. (2020). A research and technology valuation model for decision analysis in the environmental and renewable energy sectors. Renewable and Sustainable Energy Reviews, 122, 109726. DOI:10.1016/j.rser.2020.109726
Yan, L., & Hong, Z., & Lucheng, H. (2010). Review on methods of new technology valuation. In 2010 International Conference on E-Business and E-Government (pp. 1932-1935). IEEE. DOI:10.1109/ICEE.2010.488
Yousefi, H. (2021). The Valuation of Modern Software Investment in the US. International Journal of Management Technology, 8(1), 1-14. DOI:10.5281/zenodo.4776245
Woo, J., Kim, E., Sung, T. E., Lee, J., Shin, K., & Lee, J. (2019). Developing an improved risk-adjusted net present value technology valuation model for the biopharmaceutical industry. Journal of Open Innovation: Technology, Market, and Complexity, 5(3), 45. https://doi.org/10.3390/joitmc5030045
Xu, J. and Li, J. (2019), “The impact of intellectual capital on SMEs’ performance in China: empirical evidence from non-high-tech vs high-tech SMEs”, Journal of Intellectual Capital, 20(4). 488-509. DOI:10.1108/JIC-04-2018-0074
Zhou, M. (2021). Analysis of Real Option Valuation Method for High-tech Start-Up Enterprises. Forest Chemicals Review, 551-569.