Presenting a model of the impact of social and intellectual capital on improving productivity and production rates in manufacturing companies in Mazandaran province

Document Type : Research Paper

Authors

1 Department of Industrial Management, Babol Branch, Islamic Azad University, Babol, Iran.

2 epartment of Department of Financial Management, Babol Branch, Islamic Azad University, Babol, Iran

3 epartment of Industrial Management, Babol Branch, Islamic Azad University, Babol, Iran.Iran

Abstract

Water-based incidents are natural phenomena that have posed Iran to serious crises. Despite efforts to settle water crises and improve the conditions, we still witness a growing trend of water issues, especially in the agricultural sector in Iran. A necessary step to face water-based incidents and alleviate their implications is to have a deep understanding of resilience dimensions to enhance the tolerance level of the farmers. The present study evaluated farmers’ resilience level in the face of water-based crises in Harsin County. The research, which adopted a descriptive survey methodology, was conducted in 2020. The statistical population was composed of the heads of rural households in four rural districts of the county, amounting to about 6000 people. The sample size was determined to be 361 farmers based on Morgan’s table. The measurement instrument was a questionnaire whose validity was confirmed by a panel of experts and professionals and its reliability was confirmed for all sections as their Cronbach’s alpha was estimated at >0.8. SPSS was used for data analysis and Expert Choice was used for pairwise comparisons. Based on the results of the pairwise comparisons, infrastructural resilience to drought has the highest level of importance in the concept of resilience. According to the results of the study, the resilience level was evaluated to be relatively low in all studied rural districts, and the difference in the level of resilience among the studied villages is significant. Also, farmers with irrigated farming have a higher level of resilience than farmers with rainfed farming.

Keywords

Main Subjects


Extended Abstract

Objective

In the era of technology and information revolution, new organizations and companies need to be superior to the emerging changes and developments around them. Undoubtedly, the ability and special skills of employees help to achieve such goals. One of the important goals of today's organizations is to reduce costs, improve product quality, innovate in providing services, and improve productivity and efficiency so that organizations can find a suitable position in their business environment and field of activity and thus, to succeed in finding a position. Improving productivity at the organizational level is considered a vital factor of success and the basis of profitability. Also, measures related to productivity seek to reduce costs and increase quality, and as a result, increase the income of the organization or company, and in this way, productivity is the relationship between output (such as the amount of products or services) and data, (such as labor, materials, energy and capital) which is spent on production. One of the factors that can be effective in improving productivity is social and intellectual capital. Today, investment in social and intellectual capitals, as key factors in the process of economic growth and development, has a significant contribution and is considered a serious issue in the economy, while in the past, it was only physical capital that was discussed and investigated as a factor of growth and development. By reviewing the conducted researches, it can be claimed that no research has been done on the impact of social and intellectual capitals on improving productivity and production rates in industrial companies, so it is necessary to conduct the present research. Therefore, the current research sought to answer this question: What is the model of the impact of social and intellectual capital on improving productivity and production rates in industrial companies in Mazandaran province?

 

Method

   The present applied study adopted a descriptive survey to conduct the study. Its statistical population consisted of industrial companies of Mazandaran province, which had 217 managers. Due to the fact that among the industrial companies of Mazandaran province, only ten companies provided the researcher with information on the production rate and productivity, so the researcher determined the number of managers of these ten companies, which were 94 people, using the census sampling method and were considered as the statistical sample. In order to collect data, the social capital researcher-made questionnaire with 55 questions and the intellectual capital researcher-made questionnaire with 50 questions were used. The face and content validity of the tools were approved by the experts and their reliability were also calculated using Cronbach's alpha coefficient leading to 0.93 for the social capital questionnaire and 0.89 for the intellectual capital questionnaire. The structural equation test was used to analyze the data.

 

Results

   The research findings were presented in descriptive and inferential parts. In the descriptive part, the demographic findings showed that 87.2% of the statistical sample were men and 12.8% were women, 6.4% of the statistical sample were in the age group of less than 40 years, 43.6% were in the age group of 40 to 50 years and 50% were in the age group above 50 years, 4.2% of the statistical sample had less than 10 years of work experience, 41.5% had 10 to 20 years of experience, and 54.3% had more than 20 years of work experience, and also 24. 50% of the statistical sample had a master's degree and 75.5% has a doctoral degree.

The social capital variable had a mean of 3.518 and a standard deviation of 0.489. Among the dimensions of social capital, the highest average (3.533) was related to the communication dimension and the lowest average (3.504) was related to the organizational dimension. Among the components of social capital, the highest average (3.664) was related to the social obligations component and the lowest average (3.396) was related to the organizational structure component. The intellectual capital variable had a mean of 3.826 and a standard deviation of 0/602. Among the dimensions of intellectual capital, the highest average (3.895) was related to the individual dimension and the lowest average (3.757) was related to the organizational dimension. Among the components of intellectual capital, the highest average (3.975) was related to the intellectual property component and the lowest average (3.456) was related to the organizational learning component.

 

Discussion

   The results of this research showed that the impact of social and intellectual capital on improving productivity and production rates in industrial companies of Mazandaran province was positive and significant. In explaining this finding, it can be said that one of the effects of social capital is increasing the productivity of organizations. In industrial organizations, social capital is an important source of productivity. Therefore, it can be acknowledged that the lack or weakness of social capital in industrial companies in intra-organizational relations will lead to the stagnation of the company. It is suggested that to involve employees in organizational decisions, because when employees are involved in decisions, they are more likely to accept the decisions, even if they are decisions that they do not agree with, because participation creates this desire in them. to see beyond their personal interest, see the bigger picture and consider themselves to belong to the group; institutionalize a cooperative and supportive culture in the company; develop network relationships in companies and use appropriate information channels that will increase social capital. It is also necessary to strengthen each of the dimensions of social and intellectual capital and to make structural reforms in processes, regulations, operational plans, infrastructures, work methods, employee training, service delivery methods and addressing needs.

Abbasi, M.; Khanifar, F.; Abbasi, A. and Nouri, K. (2019). Investigating the relationship between social capital and psychological capital with organizational performance (case study: small businesses in Tabriz). Journal of Organizational Culture Management, 18(1), 163-141. 10.22059/JOMC.2019.222030.1007072. (In Persian)
Abbasi, T.; Hashemi, M.; Armine, A. and Bakhtiari, M. (2014). Explaining the relationship between intellectual capital and human resource productivity with an emphasis on organizational learning. State Management Quarterly, 6 (4), 791-817. 10.22059/JIPA.2014.51041. (In Persian)
Bakhshoudeh, M., shokouhi, M. (2010). An Investigation of Productivity Gaps of Industrial Crops in some Iranian Provinces. Iranian Journal of Agricultural Economics and Development Research, 2-41(1), -. (In Persian)
Bengoa, M., Roman, V.M., & Perez, P. (2017). Do R&D activities matter for productivity? A regional spatial approach assessing the role of human and social capital. Economic Modelling, 60, 448-461. 10.1016/j.econmod.2016.09.005
Chang, S., Tein, S., & Lee, H. (2010). Social capital, creativity, and new product advantage: an empirical study. International Journal of Electronic Business Management, 8(1), 43-55.
Ekemen, M.A., & Sesen, H. (2020). Dataset on social capital and knowledge integration in project management. Data in brief, 29, 105-233.  10.1016/j.dib.2020.105233
Ghafouri, A.; Tabet, A. and Anuri, A. (2019). Investigating the relationship between intellectual capital and financial performance based on the mediating role of knowledge sharing. Quarterly Journal of New Research Approaches in Management and Accounting, 4 (28), 1-14. http://majournal.ir/index.php/ma/article/view/342. (In Persian)
Ghiashi, Sh.; Hosseinpour, M.; Mehr Alizadeh, Y. and Nasiri, M. (2021). Designing a model for evaluating the state of intellectual capital with the approach of improving the productivity of the study: universities of the country. Productivity Management Quarterly, 15 (1), 157-179. 10.30495/QJOPM.2021.1876579.2587. (In Persian)
Haj Hosseini, M.; Jahanian, R. and Irannejad, P. (2019). Validation of the performance management model of faculty members based on intellectual capital components. Educational Systems Research Quarterly, 14 (49), 161-141. 20.1001.1.23831324.1399.14.49.9.8. (In Persian)
Hasan, M.M., & Habib, A. (2020). Social capital and payout policies. Journal of Contemporary Accounting and Economics, 16 (1), 100183. 10.1016/j.jcae.2020.100183
Hatamifard, S. (2012). Factors Affecting the Low Performance of Food Processing and Complementary Industries: a Case Study, Zanjan Province. Iranian Journal of Agricultural Economics and Development Research, 42-2(3), 413-421. doi: 10.22059/ijaedr.2012.24814. (In Persian)
Isfahani, A.; Malkpour, K.; Tedin, A. and Abbasi Farajzadeh, M. (2017). The relationship between intellectual capital and human resources productivity and job performance from the perspective of the employees of a military hospital. Journal of Military Medicine, 20(6), 684-674. http://militarymedj.ir/article-1-1973. (In Persian)
Khanzadi, A. and Heydari, S. (2011). Estimating the effects of human, physical and social capital on the total productivity of production factors (case study of Iran). Quantitative Economics Quarterly (former economic reviews), 9 (3), 107-125. 10.22055/JQE.2012.12283.(In Persian)
Mehravar Giglou, sh. and Moulai Ali Abad, h. (2018). The role of social and intellectual capital in improving teachers' productivity. Educational Management Innovations Quarterly, 13 (4), 75-67. 20.1001.1.20081138.1397.13.4.4.2. (In Persian)
Mahmood, T., & Mubarik, M.S. (2020). Balancing innovation and exploitation in the fourth industrial revolution: Role of intellectual capital and technology absorptive capacity. Technological Forecasting and Social Change, 160, 1-9. https://doi.org/10.1016/j.techfore.2020.120248
Obeidat, U., Obeidat, B., Alrowwad, A., Alshurideh, M., Masa'deh, R., & Abuhashesh, M. (2021). The effect of intellectual capital on competitive advantage: The mediating role of innovation. Management Science Letters, 11,1331–1344.
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. https://doi.org/10.1016/j.bir.2019.03.001
Rahimi Rigi, Q.; Mustafaei, Q.; Karimi, H. and Sheikh Mohammadi, A. (2015). The effect of intellectual capital components on the efficiency of companies listed in the Tehran Stock Exchange using data coverage analysis model. Auditing Knowledge Quarterly, 16 (63), 166-149. (In Persian)
Rehman, A.U., Aslam, E., & Iqbal, I. (2022). Intellectual capital efficiency and bank performance: Evidence from islamic banks. Borsa Istanbul Review, 22(1), 113-121. https://doi.org/10.1016/j.bir.2021.02.004
Rezaei, R. (2014). The effect of social capital structures on intellectual capital in agricultural consulting, technical and engineering service companies in Zanjan province. Iranian Agricultural Education and Extension Sciences Quarterly, 10 (2), 31-48. 20.1001.1.20081758.1393.10.2.3.2. (In Persian)
Safari Graili, M. and Rezaei Pitehnoi, Y. (2020). Providing a model to explain the relationship between social capital and cost of capital. Scientific Research Journal of Health Accounting, 9(1), 61-77. 10.30476/JHA.2020.72766.1244. (In Persian)
Shajari, H.; Master, H. and Sheikhi, S. (2013). Analysis of factors affecting the total productivity of production factors (case study of Iran's basic chemical production industries). Economic Science Quarterly, 8(27), 65-88. http://ecj.iauctb.ac.ir/article_512793.html. (In Persian)
Suoniemi, S., Terho, H., Zablah, A., Olkkonen, R., & Straub, D.W. (2021). The impact of firm-level and project-level it capabilities on CRM system quality and organizational productivity. Journal of Business Research, 127 (2021) 108–122. https://doi.org/10.1016/j.jbusres.2021.01.007
Troise, C., Tani, M., & Jones, P. (2020). Investigating the impact of multidimensional social capital on equity crowdfunding performance. International Journal of Information Management, 55, 102230. https://doi.org/10.1016/j.ijinfomgt.2020.102230
Zarashtian, Sh. Vakrimi, A. (2019). Presenting the model of the effect of social capital and intellectual capital on organizational performance (case study: sports and youth departments of Kermanshah province). Quarterly Journal of Research in Sports Management and Movement Behavior, 9 (17), 97-86. http://jrsm.khu.ac.ir/article-1-2912-fa.html. (In Persian)