IDEAS home Printed from https://ideas.repec.org/a/igg/jabim0/v15y2024i1p1-19.html
   My bibliography  Save this article

Preferences of Kazakhstan Students and Faculty for Knowledge Transfer: An Exploratory Research

Author

Listed:
  • Assel Kenesovna Jumasseitova

    (Kazakh-British Technical University, Kazakhstan)

  • Rajasekhara Mouly Potluri

    (Kazakh-British Technical University, Kazakhstan)

  • Nazym Kaidarova

    (Kazakh-British Technical University, Kazakhstan)

Abstract

The focus of this research is to know the preferential displays of students and academic staff concerning Kazakhstan's online and offline knowledge transfer activities. After garnering the pertinent information on knowledge transfer activities, the authors administered two self-administered questionnaires for students and academic staff after checking the reliability and validity of the instrument by using McDonald Omega and Bartlett's tests. They summarized, coded, decoded, and analyzed data collected from 4,765 students and 424 academic staff by using Microsoft Excel, MATLAB, and R Language R Studio. The researchers also analyzed selected hypotheses by using the Kruskal-Wallis hypothesis testing technique. Astonishingly, most students from social sciences prefer the online mode of transformation of knowledge to science students who opt for face-to-face because of the nature of the discipline and the similar opinions expressed by academic staff. During the pandemic, academia depended only on the online mode of knowledge transfer.

Suggested Citation

  • Assel Kenesovna Jumasseitova & Rajasekhara Mouly Potluri & Nazym Kaidarova, 2024. "Preferences of Kazakhstan Students and Faculty for Knowledge Transfer: An Exploratory Research," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 15(1), pages 1-19, January.
  • Handle: RePEc:igg:jabim0:v:15:y:2024:i:1:p:1-19
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJABIM.364096
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. Färe & S. Grosskopf & R. C. Sickles, 2007. "Productivity? of US Airlines After Deregulation," Journal of Transport Economics and Policy, University of Bath, vol. 41(1), pages 93-112, January.
    2. Barbot, Cristina & Costa, Ã lvaro & Sochirca, Elena, 2008. "Airlines performance in the new market context: A comparative productivity and efficiency analysis," Journal of Air Transport Management, Elsevier, vol. 14(5), pages 270-274.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dothang Truong, 2025. "Assessing the Economic Sustainability of Airlines in the U.S. Through Labor Efficiency," Sustainability, MDPI, vol. 17(10), pages 1-29, May.
    2. Yu, Ming-Miin & Chang, Yu-Chun & Chen, Li-Hsueh, 2016. "Measurement of airlines’ capacity utilization and cost gap: Evidence from low-cost carriers," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 186-198.
    3. Yu, Ming-Miin & Chen, Li-Hsueh & Chiang, Hui, 2017. "The effects of alliances and size on airlines’ dynamic operational performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 197-214.
    4. Fecri Karanki, 2023. "The impact of airline business models on excess capacity," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(6), pages 3556-3571, September.
    5. Mahmut BAKIR & Şahap AKAN & Kasım KIRACI & Darjan KARABASEVIC & Dragisa STANUJKIC & Gabrijela POPOVIC, 2020. "Multiple-Criteria Approach of the Operational Performance Evaluation in the Airline Industry: Evidence from the Emerging Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 149-172, July.
    6. George E. Halkos & Nickolaos G. Tzeremes, 2015. "Measuring Seaports' Productivity: A Malmquist Productivity Index Decomposition Approach," Journal of Transport Economics and Policy, University of Bath, vol. 49(2), pages 355-376, April.
    7. Aguirregabiria, Victor & Ho, Chun-Yu, 2012. "A dynamic oligopoly game of the US airline industry: Estimation and policy experiments," Journal of Econometrics, Elsevier, vol. 168(1), pages 156-173.
    8. Choi, Kanghwa, 2017. "Multi-period efficiency and productivity changes in US domestic airlines," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 18-25.
    9. Saranga, Haritha & Nagpal, Rajiv, 2016. "Drivers of operational efficiency and its impact on market performance in the Indian Airline industry," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 165-176.
    10. Zou, Bo & Elke, Matthew & Hansen, Mark & Kafle, Nabin, 2014. "Evaluating air carrier fuel efficiency in the US airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 306-330.
    11. Koo, Tay T.R. & Lohmann, Gui, 2013. "The spatial effects of domestic aviation deregulation: a comparative study of Australian and Brazilian seat capacity, 1986–2010," Journal of Transport Geography, Elsevier, vol. 29(C), pages 52-62.
    12. Thanh Ngo & Kan Wai Hong Tsui, 2022. "Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines," Operational Research, Springer, vol. 22(4), pages 3411-3434, September.
    13. Tavassoli, Mohammad & Faramarzi, Gholam Reza & Farzipoor Saen, Reza, 2014. "Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 146-153.
    14. Ying Li & Tai‐Yu Lin & Yung‐ho Chiu & Shu‐Ning Lin & Tzu‐Han Chang, 2021. "Impact of alliances and delay rate on airline performance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1607-1618, September.
    15. Gayle, Philip G. & Yimga, Jules O., 2018. "How much do consumers really value air travel on-time performance, and to what extent are airlines motivated to improve their on-time performance?," Economics of Transportation, Elsevier, vol. 14(C), pages 31-41.
    16. Barros, Carlos Pestana & Wanke, Peter, 2015. "An analysis of African airlines efficiency with two-stage TOPSIS and neural networks," Journal of Air Transport Management, Elsevier, vol. 44, pages 90-102.
    17. Assaf, A. George & Josiassen, Alexander, 2012. "European vs. U.S. airlines: Performance comparison in a dynamic market," Tourism Management, Elsevier, vol. 33(2), pages 317-326.
    18. Chia-Nan Wang & Tsang-Ta Tsai & Hsien-Pin Hsu & Le-Hoang Nguyen, 2019. "Performance Evaluation of Major Asian Airline Companies Using DEA Window Model and Grey Theory," Sustainability, MDPI, vol. 11(9), pages 1-20, May.
    19. Kristjanpoller, Werner D. & Concha, Diego, 2016. "Impact of fuel price fluctuations on airline stock returns," Applied Energy, Elsevier, vol. 178(C), pages 496-504.
    20. Delbari, Seyyed Ali & Ng, Siew Imm & Aziz, Yuhanis Abdul & Ho, Jo Ann, 2016. "An investigation of key competitiveness indicators and drivers of full-service airlines using Delphi and AHP techniques," Journal of Air Transport Management, Elsevier, vol. 52(C), pages 23-34.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jabim0:v:15:y:2024:i:1:p:1-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.