News

a.z
korani, Z. (2022). The Role of Organizational Agility in the Relationship of Information and Communication Technology with the Job Performance of Teachers in Conservatories and Agricultural Education Centers in Kermanshah. , 14(61), 63-82. doi: 10.22092/jaear.2022.360015.1910
zahra korani. "The Role of Organizational Agility in the Relationship of Information and Communication Technology with the Job Performance of Teachers in Conservatories and Agricultural Education Centers in Kermanshah". , 14, 61, 2022, 63-82. doi: 10.22092/jaear.2022.360015.1910
korani, Z. (2022). 'The Role of Organizational Agility in the Relationship of Information and Communication Technology with the Job Performance of Teachers in Conservatories and Agricultural Education Centers in Kermanshah', , 14(61), pp. 63-82. doi: 10.22092/jaear.2022.360015.1910
korani, Z. The Role of Organizational Agility in the Relationship of Information and Communication Technology with the Job Performance of Teachers in Conservatories and Agricultural Education Centers in Kermanshah. , 2022; 14(61): 63-82. doi: 10.22092/jaear.2022.360015.1910

The Role of Organizational Agility in the Relationship of Information and Communication Technology with the Job Performance of Teachers in Conservatories and Agricultural Education Centers in Kermanshah

پژوهش مدیریت آموزش کشاورزی
Volume 14, Issue 61, October 2023, Pages 63-82    PDF (550.01 K)
Document Type: Research Paper
DOI: 10.22092/jaear.2022.360015.1910
Author
zahra korani*
Payam noor university
Abstract
the present descriptive-correlation research was conducted with the aim of investigating the relationship between information and communication technology and the job performance of teachers in conservatories and agricultural training centers in Kermanshah province through the mediating role of organizational agility. The participants in this research were 267 teachers of conservatories and agricultural education Centers in Kermanshah province (N=267), who were counted according to their number. To collect data from three standard information and communication technology questionnaires of Mahmoudi (2012); Patterson's job performance questionnaire (1990) and Sharifi and Zhang's organizational agility questionnaire (2002) were used.The convergent validity of the questionnaire was also calculated through AVE, which was obtained as 0.78.The research tool was checked through the ordinal theta coefficient (0.83-0.87) using R software, and the ordinal theta rate was 0.83 for information and communication technology, 0.86 for job performance, and 0.86 for organizational agility. 0.85 And overall 0.87 was obtained.SPSSwin22 and Smart PLSwin3 software were used for data analysis.

Based on the results of the Pearson correlation coefficient, there was a positive and significant relationship between the development of information and communication technology and organizational agility, as well as between organizational agility and the job performance of agricultural educators.. Information and communication technology as an independent variable had a significant effect on two dependent variables, i.e. job performance and organizational agility. So that information and communication technology accounted for 57% of the total variance of job performance and 34% of the total variance of organizational agility explains.
Keywords
Information and Communication Technology; Academies and Agricultural Training Centers; Organizational Agility; Job Performance
References
  • Alston, A. J. (2013). Use of instructional technology in agricultural education In North Carolina andVirginia. Journal_of_Career_and_Technical Education 20 (1): 23-35.
  • Benamati, J. S. and Lederer, A. L. (2018). Decision support systems unfrastructure: The root problems of the management of changing IT. Decis. Support Syst, 45(4), 833-844.

 

  • Coronado, A. E., Sarhadi, M. and Millar, C. (2012). Defining a framework for information systems requirements for agile manufacturing, International Journal of Production Economics, 72(1-2), 57-68.

 

  • Cropanzano,J. H. (2011).Antecedent And Conseguences of organizational innovation and organizatlonal ,learning in ent Repreneurship.industrial Management Data stsems,10(1),21-42.
  • Hagel, J. and Brown, J. S. (2011). Your next IT strategy. Harvard business review, 79(9), 105-115.

 

  • Jackson, D. L. (2013). Revisiting sample size and number of parameter estimates: Some support for the N:q hypothesis". Structural Equation Modeling, 10: 128–141.

 

  • Kappagoda, S., Othman, H. Z. F. and De Alwis, D. (2014). The impact of psychological capital on job performance: Development of a conceptual framework. European Journal of Business and Management, 6(15): 143-154.

 

  • Kuleelung, T. (2015). Organizational agility and firm performance: evidence from information and communication technology (ICT) businesses in Thailand. The Business and Management Review,7(1),1-10.
  • Krejcie,R.V., and Morgan, D.W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3);607-610.

 

  • Marhoui, M. A., and Al-Munawwar, A. (2017). The title of the study of innovation in information technology and sustainable performance of the company: the mediating role of organizational agility, Proceedings of the Ninth International Conference on Information Management and Engineering.

 

  • Noe, R., Hollenbeck, J., Gerhart, B. and Wright. P. M. (2016). Human Resources Management: Gaining a Competitive Advantage.

 

  • Peng, J,Quan.,J,Guoying., Z. D. and Alan J.(2016).Mediation effect of business process and supply chain management capabijities on the impact of IT on firm performance:Evidence fromChinese firms,International Journal of Information Management36:89-96.

 

  • Park, Y., & ElSawi, A. (2017). The role of business intelligence and communication technologies in organizational agility: a configuration approach. Journal of the Information Systems Association, 18 (9): 159-150.

 

  • Qin, R., Nembhard, D. A. (2015). Workforce agility in operations management. Surveys in Operations Research and Management Science, 20(2), 55-69.

 

  • Sanchez, A.A. Marin, G.S. and Morales, A.M. (2015). The mediating effect of strategic human resource practices on Knowledge management and firm performance. Revista Europea de Dirección y Economía de la Empresa; 24: 138–148.

 

  • Shin, H., Lee, J.N., Kim, D. and Rhim., H. (2015). Strategic agility of Korean small and mediumenterprises and its influence on operational and firm performance. International Journal of Production Economics, 168, 181-196.

 

  • Sharp, J., Irani, Z. and Desai, S. (2014). Working towards agile manufacturing in the UK industry.International Journal of production economics, 62(1), 155-169.

 

  • Sharifi, H., and Zhang, Z. (2002). A methodology for achieving agility in
  • manufacturing organization. International journal of production economics, 62
  • (2), 7-22.

 

  • Shutske, J. M. (2017). Tools and Technologies for Practitioners: Five Big Trends. In: Proceedings of 2017 Wisconsin Agribusiness Classic, pp. 138–139. http://www.agclassic. org/proceedings/2017_Proceedings.pdf.
Statistics
Article View: 587
PDF Download: 529


counter
Journal management system. designed by sinaweb