The development of a decision matrix for selecting university research assistants in engineering and information technology fields using multi criteria analysis
<p>Selecting suitable students as research assistants is important to improve their research</p><p>skills and to reduce the cost of research projects. As such, this study sets out to develop</p><p>a general decision matrix to dete...
Saved in:
| Main Author: | |
|---|---|
| Format: | thesis |
| Language: | eng |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://ir.upsi.edu.my/detailsg.php?det=7471 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
oai:ir.upsi.edu.my:7471 |
|---|---|
| record_format |
uketd_dc |
| institution |
Universiti Pendidikan Sultan Idris |
| collection |
UPSI Digital Repository |
| language |
eng |
| topic |
N/A |
| spellingShingle |
N/A Anter, Sulaiman Abd The development of a decision matrix for selecting university research assistants in engineering and information technology fields using multi criteria analysis |
| description |
<p>Selecting suitable students as research assistants is important to improve their research</p><p>skills and to reduce the cost of research projects. As such, this study sets out to develop</p><p>a general decision matrix to determine the most appropriate criteria for evaluating and</p><p>selecting qualified students as research assistants for research funded by university</p><p>grants. In addition, the study attempts to explore the quality of such research assistants</p><p>and the challenges facing supervisors in selecting the right candidates. In this study, a</p><p>questionnaire consisting of 47 criteria adopted from a literature survey was administered</p><p>to 23 experts at two Iraqi universities taken as a case study to identify the appropriate</p><p>skills that research assistants should possess before they could be considered for</p><p>recruitment. The Fuzzy Delphi Method (FDM) was used to reveal 16 appropriate criteria</p><p>which were applied to a sample of 30 students using the Multi Criteria Decision Making</p><p>method including the Analytic Hierarchy Process (AHP) and Technique for Order</p><p>Preference by Similarity to Ideal Solution (TOPSIS). The findings showed that the</p><p>integration of FDM, AHP, and TOPSIS was effective in identifying qualified research</p><p>assistants. In particular, the statistical analysis carried out in the validation and</p><p>evaluation phases showed some variations in the mean and standard deviation of such</p><p>criteria for the first, second, and third group of students, the calculated percentages of</p><p>which were 65% and 4.5%, 52% and 3.4%, and 40% and 4.3%, respectively. In</p><p>conclusion, the decision matrix managed to distinguish and prioritize students with high</p><p>levels of skills over those with lower levels of skills. These findings imply that the</p><p>developed decision matrix could be used to support existing expert system applications</p><p>in the research ecosystem in the university</p> |
| format |
thesis |
| qualification_name |
|
| qualification_level |
Doctorate |
| author |
Anter, Sulaiman Abd |
| author_facet |
Anter, Sulaiman Abd |
| author_sort |
Anter, Sulaiman Abd |
| title |
The development of a decision matrix for selecting university research assistants in engineering and information technology fields using multi criteria analysis |
| title_short |
The development of a decision matrix for selecting university research assistants in engineering and information technology fields using multi criteria analysis |
| title_full |
The development of a decision matrix for selecting university research assistants in engineering and information technology fields using multi criteria analysis |
| title_fullStr |
The development of a decision matrix for selecting university research assistants in engineering and information technology fields using multi criteria analysis |
| title_full_unstemmed |
The development of a decision matrix for selecting university research assistants in engineering and information technology fields using multi criteria analysis |
| title_sort |
development of a decision matrix for selecting university research assistants in engineering and information technology fields using multi criteria analysis |
| granting_institution |
Universiti Pendidikan Sultan Idris |
| granting_department |
N/A |
| publishDate |
2021 |
| url |
https://ir.upsi.edu.my/detailsg.php?det=7471 |
| _version_ |
1747833395756400640 |
| spelling |
oai:ir.upsi.edu.my:74712022-10-06 The development of a decision matrix for selecting university research assistants in engineering and information technology fields using multi criteria analysis 2021 Anter, Sulaiman Abd N/A <p>Selecting suitable students as research assistants is important to improve their research</p><p>skills and to reduce the cost of research projects. As such, this study sets out to develop</p><p>a general decision matrix to determine the most appropriate criteria for evaluating and</p><p>selecting qualified students as research assistants for research funded by university</p><p>grants. In addition, the study attempts to explore the quality of such research assistants</p><p>and the challenges facing supervisors in selecting the right candidates. In this study, a</p><p>questionnaire consisting of 47 criteria adopted from a literature survey was administered</p><p>to 23 experts at two Iraqi universities taken as a case study to identify the appropriate</p><p>skills that research assistants should possess before they could be considered for</p><p>recruitment. The Fuzzy Delphi Method (FDM) was used to reveal 16 appropriate criteria</p><p>which were applied to a sample of 30 students using the Multi Criteria Decision Making</p><p>method including the Analytic Hierarchy Process (AHP) and Technique for Order</p><p>Preference by Similarity to Ideal Solution (TOPSIS). The findings showed that the</p><p>integration of FDM, AHP, and TOPSIS was effective in identifying qualified research</p><p>assistants. In particular, the statistical analysis carried out in the validation and</p><p>evaluation phases showed some variations in the mean and standard deviation of such</p><p>criteria for the first, second, and third group of students, the calculated percentages of</p><p>which were 65% and 4.5%, 52% and 3.4%, and 40% and 4.3%, respectively. In</p><p>conclusion, the decision matrix managed to distinguish and prioritize students with high</p><p>levels of skills over those with lower levels of skills. These findings imply that the</p><p>developed decision matrix could be used to support existing expert system applications</p><p>in the research ecosystem in the university</p> 2021 thesis https://ir.upsi.edu.my/detailsg.php?det=7471 https://ir.upsi.edu.my/detailsg.php?det=7471 text eng closedAccess Doctoral Universiti Pendidikan Sultan Idris N/A <p>(KP), T. A. & C. A. (1993). Classroom assessment techniques: A handbook for college</p><p>teachers. Jossey-Bass Publishers.</p><p></p><p>AF Ragab, M., & Arisha, A. (2013). Knowledge management and measurement: a critical</p><p>review. Journal of Knowledge Management, 17(6), 873-901.</p><p></p><p>Aggarwal, R. (2013). Selection of IT Personnel through Hybrid Multi-attribute AHP-FLP</p><p>approach. International Journal of Soft Computing and Engineering (IJSCE), 2(6),</p><p>11-17.</p><p></p><p>Al-oqaily, A. T., Hassan, Z. Bin, Abualkishik, A. M., & Qawasmeh, E. F. (2015). College</p><p>Of Information and Communication Technology ,. Middle-East Journal of Scientific</p><p>Research, 23(9), 2117-2128. https://doi.org/10.5829/idosi.mejsr.2015.23.09.22503</p><p></p><p>Alaa, M., Albakri, I. S. M. A., Singh, C. K. S., Hammed, H., Zaidan, A. A., Zaidan, B. B.,</p><p>_ Jasim, A. N. (2019). Assessment and Ranking Framework for the English Skills of</p><p>Pre-Service Teachers Based on Fuzzy Delphi and TOPSIS Methods. IEEE Access, 7,</p><p>126201-126223. https://doi.org/10.1109/ACCESS.2019.2936898</p><p></p><p>Alavi, M., & Leidner, D. E. (2001). Review : Knowledge Systems : Management</p><p>Knowledge and Foundations Conceptual. Management Information Systems, 25(1),</p><p>107-136. https://doi.org/10.1038/35065204</p><p></p><p>Allison, B., Hilton, A., O'Sullivan, T., Owen, A., & Rothwell, A. (2016). Research skills</p><p>for students. Routledge.</p><p></p><p>Almarashdeh, I., & Alsmadi, M. K. (2017). How to make them use it? Citizens acceptance</p><p>of M-government. Applied Computing and Informatics, 13(2), 194-199.</p><p>https://doi.org/10.1016/j.aci.2017.04.001</p><p></p><p>Alsalem, M. A., Zaidan, A. A., Zaidan, B. B., Hashim, M., Madhloom, H. T., Azeez, N.</p><p>D., & Alsyisuf, S. (2018). PT US CR. Computer Methods and Programs in</p><p>Biomedicine, 158, 93-112. https://doi.org/10.1016/j.cmpb.2018.02.005</p><p></p><p>Altinkemer, K. (2000). Optimization of printed circuit board manufacturing : Integrated</p><p>modeling and algorithms, 124, 409-421.</p><p></p><p>Altunok, T., & Cakmak, T. (2010). A technology readiness levels (TRLs) calculator</p><p>software for systems engineering and technology management tool. Advances in</p><p>Engineering Software, 41(5), 769-778.</p><p>https://doi.org/10.1016/j.advengsoft.2009.12.018</p><p></p><p>Andreeva, T., & Kianto, A. (2012). Does knowledge management really matter? Linking</p><p>knowledge management practices, competitiveness and economic performance.</p><p>Journal of Knowledge Management, 16(4), 617-636.</p><p></p><p>ANDREW L. ZYDNEY, JOAN S. BENNETT AND ABDUS SHAHID, K. W. B. (2002).</p><p>Faculty Perspectives Regarding the Undergraduate Research Experience in. Journal</p><p>of Engineering Education, 91(July), 291-297.</p><p></p><p>Ar, I. M., & Kurtaran, A. (2013). Evaluating the Relative Efficiency of Commercial Banks</p><p>in Turkey: An Integrated AHP/DEA Approach. International Business Research,</p><p>6(4), 129-146. https://doi.org/10.5539/ibr.v6n4p129</p><p></p><p>Arthur, E. N. L. (2013). Knowledge Management Initiatives and Implementation: a</p><p>qualitative meta-analysis of public and private organisations.</p><p></p><p>Aruldoss, M., Lakshmi, T. M., & Venkatesan, V. P. (2013). A survey on multi criteria</p><p>decision making methods and its applications. American Journal of Information</p><p>Systems, 1(1), 31-43.</p><p></p><p>Arunachalam, A. P. S., Idapalapati, S., & Subbiah, S. (2015). Multi-criteria decision</p><p>making techniques for compliant polishing tool selection. The International Journal</p><p>of Advanced Manufacturing Technology, 79(1-4), 519-530.</p><p></p><p>Awong-taylor, J., Costa, A. D., Giles, G., Leader, T., Pursell, D., Runck, C., _ College,</p><p>G. G. (2014). CUR Focus, 11-19.</p><p></p><p>Azeez, N. D., & Lakulu, M. M. (2018). EVALUATION FRAMEWORK OF MGOVERNMENT</p><p>SERVICES SUCCESS IN MALAYSIA, 96(24).</p><p></p><p>Basiri, E., & Ahmadi, J. (2015). Prediction intervals for generalized-order statistics with</p><p>random sample size. Journal of Statistical Computation and Simulation, 85(9), 1725-</p><p>1741. https://doi.org/10.1080/00949655.2014.896362</p><p></p><p>Bauer, K. W., & Bennett, J. S. (2003). Alumni perceptions used to assess undergraduate</p><p>research experience. The Journal of Higher Education, 74(2), 210-230.</p><p></p><p>Baxter, P., & Jack, S. (2008). Qualitative Case Study Methodology : Study Design and</p><p>Implementation for Novice Researchers Qualitative Case Study Methodology : Study</p><p>Design and Implementation. The Qualitative Report, 13(4), 544-559.</p><p></p><p>Bobak, A. K., Bennetts, R. J., Parris, B. A., Jansari, A., Bate, S., & Barrow, F. (2016). An</p><p>In-depth Cognitive Examination of Individuals with Superior Face Recognition Skills.</p><p>Cortex. https://doi.org/10.1016/j.cortex.2016.05.003</p><p></p><p>Boud, D., & Soler, R. (2016). Sustainable assessment revisited. Assessment & Evaluation</p><p>in Higher Education, 41(3), 400-413.</p><p></p><p>Brighton, L. J., Koffman, J., Hawkins, A., McDonald, C., O'Brien, S., Robinson, V., _</p><p>Selman, L. E. (2017). A systematic review of end-of-life care communication skills</p><p>training for generalist palliative care providers: research quality and reporting</p><p>guidance. Journal of Pain and Symptom Management, 54(3), 417-425.</p><p></p><p>Butterfield, A. K. J., & Soska, T. (2013). University-community partnerships: Universities</p><p>in civic engagement. Routledge.</p><p></p><p>Cardinal, S., & Danforth, B. N. (2011). The Antiquity and Evolutionary History of Social</p><p>Behavior in Bees, 6(6). https://doi.org/10.1371/journal.pone.0021086</p><p></p><p>Carlos, J., & Lopez, L. (2004). Multicriteria Decision Aid Application To a Student, 25(1),</p><p>45-68.</p><p></p><p>Carrillo, P. M., Robinson, H. S., Anumba, C. J., & Al-Ghassani, A. M. (2003). IMPaKT:</p><p>A framework for linking knowledge management to business performance. Electronic</p><p>Journal of Knowledge Management, 1(1), 1-12.</p><p></p><p>Carroll, M. (1995). Formative assessment workshops: feedback sessions for large classes.</p><p>Biochemical Education, 23(2), 65-67.</p><p></p><p>Cesaroni, F., & Piccaluga, A. (2016). The activities of university knowledge transfer</p><p>offices: towards the third mission in Italy. The Journal of Technology Transfer, 41(4),</p><p>753-777.</p><p></p><p>Chang, P., Hsu, C., & Chang, P. (2020). Fuzzy Delphi method for evaluating hydrogen</p><p>production technologies. International Journal of Hydrogen Energy, 36(21), 14172-</p><p>14179. https://doi.org/10.1016/j.ijhydene.2011.05.045</p><p></p><p>Chen, J.-F., Hsieh, H.-N., & Do, Q. H. (2015). Evaluating teaching performance based on</p><p>fuzzy AHP and comprehensive evaluation approach. Applied Soft Computing, 28,</p><p>100-108.</p><p></p><p>Chen, L. (2005). Selecting IS personnel use fuzzy GDSS based on metric distance method,</p><p>160, 803-820. https://doi.org/10.1016/j.ejor.2003.07.003</p><p></p><p>Chen, M. Y., Huang, M. J., & Cheng, Y. C. (2009). Measuring knowledge management</p><p>performance using a competitive perspective: An empirical study. Expert systems with</p><p>applications, 36(4), 8449-8459.</p><p></p><p>Cheng, J., Greiner, R., Kelly, J., & Bell, D. (2002). Learning Bayesian networks from data :</p><p>An information-theory based approach. Artificial Intelligence, 137(1), 43-90.</p><p>Consortium, P., & Benchmarking, S. (2009). 2008 Brown Center Report on American</p><p>Education : How Well Are Students Learning ?</p><p></p><p>Corporate, A. (2000). Knowledge Management Practices in Higher Education. In Higher</p><p>Education, (4), 28-33.</p><p></p><p>Creswell, J. W. (2002). Educational research: Planning, conducting, and evaluating</p><p>quantitative. Prentice Hall Upper Saddle River, NJ.</p><p></p><p>Dawson, C. (2002). Practical research methods: a user-friendly guide to mastering</p><p>research techniques and projects. How to books Ltd.</p><p></p><p>Deliktas, D., & Ustun, O. (2017). Student selection and assignment methodology based on</p><p>fuzzy MULTIMOORA and multichoice goal programming. International</p><p>Transactions in Operational Research, 24(5), 1173-1195.</p><p></p><p>Etzkowitz, A., & Etzkowitz, H. (2017). Counter-cyclical public venture capital : Debtfunding</p><p>as an anti-austerity innovation strategy.</p><p>https://doi.org/10.1177/0539018417719795</p><p></p><p>Etzkowitz, H. (2003). Research groups as quasi-firms: the invention of the entrepreneurial</p><p>university. Research Policy, 32(1), 109-121.</p><p></p><p>Etzkowitz, H. (2017). The entrepreneurial university. Encyclopedia of International</p><p>Higher Education Systems and Institutions, 1-5.</p><p></p><p>Etzkowitz, H., Ranga, M., & Dzisah, J. (2012). Whither the university ? The Novum</p><p>Trivium and the transition from industrial to knowledge society. Social Science</p><p>Information, 51(2), 143-164. https://doi.org/10.1177/0539018412437099</p><p></p><p>Feldon, D. F., Peugh, J., Timmerman, B. E., Maher, M. A., Hurst, M., Strickland, D., _</p><p>Stiegelmeyer, C. (2011). Graduate students teaching experiences improve their</p><p>methodological research skills. Science, 333(6045), 1037-1039.</p><p></p><p>Fellows, R. F., & Liu, A. M. M. (2015). Research methods for construction. John Wiley &</p><p>Sons.</p><p></p><p>Franek, J., & Kresta, A. (2014). Judgment Scales and Consistency Measure in AHP.</p><p>Procedia Economics and Finance, 12(March), 164-173.</p><p>https://doi.org/10.1016/s2212-5671(14)00332-3</p><p></p><p>Geiger, D. L. (2017). TO ADVANCE KNOWLEDGE.</p><p></p><p>Gibb, S. (2014). Soft skills assessment: theory development and the research agenda.</p><p>International Journal of Lifelong Education, 33(4), 455-471.</p><p></p><p>Gill, A. (2009). Knowledge management initiatives at a small university. International</p><p>Journal of Educational Management, 23(7), 604-616.</p><p></p><p>Ginting, G., Fadlina, M., Siahaan, A. P. U., & Rahim, R. (2017). Technical Approach of</p><p>TOPSIS in Decision Making. Int. J. Recent Trends Eng. Res, 3(8), 58-64.</p><p></p><p>Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management</p><p>Journal, 17(S2), 109-122.</p><p></p><p>Greenberg, K. P. (2015). Rubric use in formative assessment: A detailed behavioral rubric</p><p>helps students improve their scientific writing skills. Teaching of Psychology, 42(3),</p><p>211-217.</p><p></p><p>Guarnieri, R., Crocetta, T. B., Massetti, T., Barbosa, R. T. de A., Antao, J. Y. F. de L.,</p><p>Antunes, T. P. C., _ Abreu, L. C. de. (2018). Test--Retest Reliability and Clinical</p><p>Feasibility of a Motion-Controlled Game to Enhance the Literacy and Numeracy</p><p>Skills of Young Individuals with Intellectual Disability. Cyberpsychology, Behavior,</p><p>and Social Networking.</p><p></p><p>Guerrero, A. M., Mcallister, R. R. J., & Wilson, K. A. (2015). Achieving social-ecological</p><p>fit through bottom-up collaborative governance : an empirical investigation. Ecology</p><p>and Society, 20(4).</p><p></p><p>Hagen-zanker, J., & Mallett, R. (2014). How to do a rigorous , evidence - focused literature</p><p>review in international development, (September 2013).</p><p></p><p>Hanine, M., Boutkhoum, O., Tikniouine, A., & Agouti, T. (2016). Application of an</p><p>integrated multi-criteria decision making AHP-TOPSIS methodology for ETL</p><p>software selection. SpringerPlus, 5(1), 263.</p><p></p><p>Haralambopoulos, D. A., & Polatidis, H. (2003). Renewable energy projects: structuring a</p><p>multi-criteria group decision-making framework. Renewable Energy, 28(6), 961-973.</p><p></p><p>Hassan, S., & Al-Hakim, L. A. Y. (2011). The relationships among critical success factors</p><p>of knowledge management, innovation and organizational performance: A conceptual</p><p>framework.</p><p></p><p>Hsu, C., & Ohio, T. (2007). The Delphi Technique : Practical Assessment, Research &</p><p>Evaluation, 12(10).</p><p></p><p>Hsu, H., & Chen, C. (1996). Aggregation of fuzzy opinions under group decision making.</p><p>Fuzzy Sets and Systems, 79(3), 279-285.</p><p></p><p>Huang, M.-J., Chen, M.-Y., & Yieh, K. (2007). Comparing with your main competitor: the</p><p>single most important task of knowledge management performance measurement.</p><p>Journal of Information Science, 33(4), 416-434.</p><p></p><p>Ibrahim, F., & Reid, V. (2009). What is the value of knowledge management practices?</p><p>Electronic Journal of Knowledge Management, 7(5).</p><p></p><p>Iii, A. S. G., & Gibbons, A. S. (2018). Unfinished Business : The Missing Skills. Brigham</p><p>Young University BYU ScholarsArchive.</p><p></p><p>Issues, C. (2018). Nurse Education Today Educational sca ff olding : Back to basics for</p><p>nursing education in the 21st century. Nurse Education Today, 68, 198-200.</p><p>https://doi.org/10.1016/j.nedt.2018.06.007</p><p></p><p>Jordan, T. C., Burnett, S. H., Carson, S., Caruso, S. M., Clase, K., DeJong, R. J., _ others.</p><p>(2014). A broadly implementable research course in phage discovery and genomics</p><p>for first-year undergraduate students. MBio, 5(1), e01051--13.</p><p></p><p>Joshi, D., & Kumar, S. (2016). Interval-valued intuitionistic hesitant fuzzy Choquet</p><p>integral based TOPSIS method for multi-criteria group decision making. European</p><p>Journal of Operational Research, 248(1), 183-191.</p><p>https://doi.org/10.1016/j.ejor.2015.06.047</p><p></p><p>Junker, B. W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions,</p><p>and connections with nonparametric item response theory. Applied Psychological</p><p>Measurement, 25(3), 258-272.</p><p></p><p>Kabir, G., & Sumi, R. S. (2014). Integrating fuzzy analytic hierarchy process with</p><p>PROMETHEE method for total quality management consultant selection. Production</p><p>& Manufacturing Research, 2(1), 380-399.</p><p></p><p>Kable, A. K., Arthur, C., Levett-Jones, T., & Reid-Searl, K. (2013). Student evaluation of</p><p>simulation in undergraduate nursing programs in Australia using quality indicators.</p><p>Nursing and Health Sciences, 15(2), 235-243. https://doi.org/10.1111/nhs.12025</p><p></p><p>Kalling, T. (2003). Knowledge management and the occasional links with performance.</p><p>Journal of Knowledge Management, 7(3), 67-81.</p><p>https://doi.org/10.1108/13673270310485631</p><p></p><p>Kamaruzzaman, S. N., Lou, E. C. W., Wong, P. F., Wood, R., & Che-Ani, A. I. (2018).</p><p>Developing weighting system for refurbishment building assessment scheme in</p><p>Malaysia through analytic hierarchy process (AHP) approach. Energy Policy,</p><p>112(February 2017), 280-290. https://doi.org/10.1016/j.enpol.2017.10.023</p><p></p><p>Kankanhalli, A., & Tan, B. C. Y. (2005). Knowledge management metrics: A review and</p><p>directions for future research. International Journal of Knowledge Management</p><p>(IJKM), 1(2), 20-32.</p><p></p><p>Kannan, G., & Aulbur, W. G. (2004). Intellectual capital: measurement effectiveness.</p><p>Journal of Intellectual Capital, 5(3), 389-413.</p><p></p><p>Kardash, C. M. (2000). Evaluation of undergraduate research experience: Perceptions of</p><p>undergraduate interns and their faculty mentors. Journal of Educational Psychology,</p><p>92(1), 191.</p><p></p><p>Karsak, E. E., & Dursun, M. (2015). An integrated fuzzy MCDM approach for supplier</p><p>evaluation and selection. Computers & Industrial Engineering, 82, 82-93.</p><p></p><p>Kathy Garvin-Doxas* and Michael W. Klymkowsky. (2007). Undergraduate Research</p><p>Experiences Support Science. CBE Life Sciences Education, 6, 297-306.</p><p>https://doi.org/10.1187/cbe.07</p><p></p><p>Kelemenis, A., & Askounis, D. (2010). A new TOPSIS-based multi-criteria approach to</p><p>personnel selection. Expert Systems with Applications, 37(7), 4999-5008.</p><p>https://doi.org/10.1016/j.eswa.2009.12.013</p><p></p><p>Kelemenis, A., Ergazakis, K., & Askounis, D. (2011). Expert Systems with Applications</p><p>Support managers ' selection using an extension of fuzzy TOPSIS. Expert Systems</p><p>With Applications, 38(3), 2774-2782. https://doi.org/10.1016/j.eswa.2010.08.068</p><p></p><p>Kidwell, J. J., Vander Linde, K., & Johnson, S. L. (2000). Applying corporate knowledge</p><p>management practices in higher education. Educause Quarterly, 23(4), 28-33.</p><p></p><p>Kokin, L. (1998). An application of quality function deployment to improve the quality of</p><p>teaching. International Journal of Quality & Reliability Management, 15(4),</p><p>389-413. https://doi.org/10.1108/02656719810196351</p><p></p><p>Kornyshova, E., & Salinesi, C. (2007). MCDM techniques selection approaches: state of</p><p>the art. In Computational Intelligence in Multicriteria Decision Making, IEEE</p><p>Symposium on (pp. 22-29).</p><p></p><p>Krauss, S. E., Hamzah, A., Omar, Z., Suandi, T., Ismail, I. A., Zahari, M. Z., & Nor, Z. M.</p><p>(2009). Preliminary investigation and interview guide development for studying how</p><p>Malaysian farmers form their mental models of farming. The Qualitative Report,</p><p>14(2), 245-260.</p><p></p><p>Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C. (2017). A</p><p>review of multi criteria decision making (MCDM) towards sustainable renewable</p><p>energy development. Renewable and Sustainable Energy Reviews, 69, 596-609.</p><p></p><p>Liebowitz, J., & Wright, K. (1999). Does measuring knowledge make cents? Expert</p><p>Systems with Applications, 17(2), 99-103.</p><p></p><p>Ligmann-Zielinska, A., & Jankowski, P. (2012). Impact of proximity-adjusted preferences</p><p>on rank-order stability in geographical multicriteria decision analysis. Journal of</p><p>Geographical Systems, 14(2), 167-187.</p><p></p><p>Lin, C., & Lin, C. (2013). Application of fuzzy Delphi method ( FDM ) and fuzzy analytic</p><p>hierarchy process ( FAHP ) to criteria weights for fashion design scheme evaluation.</p><p>International Journal of Clothing Science and Technology, 25(3), 171-183.</p><p>https://doi.org/10.1108/09556221311300192</p><p></p><p>Lindner, J. R., & Texas, A. (2001). Competencies for the Distance Education Professional:</p><p>A Self-Assessment Model to Document Learning Kim E. Dooley, Texas A&M</p><p>University James R. Lindner, Texas A&M University, 171-182.</p><p></p><p>Lopatto, D. (2004). Survey of undergraduate research experiences (SURE): First findings.</p><p>Cell Biology Education, 3(4), 270-277.</p><p></p><p>Lopatto, D. (2007). Undergraduate research experiences support science career decisions</p><p>and active learning. CBE_Life Sciences Education, 6(4), 297-306.</p><p></p><p>Ma, A., Mondragon, R. J., & Latora, V. (2015). Anatomy of funded research in science.</p><p>Proceedings of the National Academy of Sciences, 112(48), 14760-14765.</p><p></p><p>Manoliadis, O., Tsolas, I., & Nakou, A. (2006). Construction Management and Economics</p><p>Sustainable construction and drivers of change in Greece : a Delphi study Sustainable</p><p>construction and drivers of change in Greece : a Delphi study. Construction</p><p>Management and Economics, 42(September 2013), 37-41.</p><p>https://doi.org/10.1080/01446190500204804</p><p></p><p>Mathi, K. (2004). Key success factors for knowledge management. MBA: International</p><p>Business Management& Consulting. Master Thesis.</p><p></p><p>Mavrotas, G., & Rozakis, S. (2009). Extensions of the PROMETHEE method to deal with</p><p>segmentation constraints application in a students' selection problem. Journal of</p><p>Decision Systems, 18(2), 203-229. https://doi.org/10.3166/jds.18.203-229</p><p></p><p>Miller, R. G. (2015). The Political Dilemmas of Formative Assessment. Council for</p><p>Exceptional Children, 76(3), 325-337.</p><p></p><p>Minerva, S., Endless, T. H. E., Triple, T. A., & Of, H. (2019). The Role of Research Centres</p><p>in the Collectivisation of Academic Science Author ( s ): HENRY ETZKOWITZ and</p><p>CAROL KEMELGOR Stable URL : https://www.jstor.org/stable/41821111 The Role</p><p>of Research Centres in the Collectivisation of Academic Science, 36(3), 271-288.</p><p></p><p>Mir, M. A., Ghazvinei, P. T., Sulaiman, N. M. N., Basri, N. E. A., Saheri, S., Mahmood,</p><p>N. Z., _ Aghamohammadi, N. (2016). Application of TOPSIS and VIKOR improved</p><p>versions in a multi criteria decision analysis to develop an optimized municipal solid</p><p>waste management model. Journal of Environmental Management, 166, 109-115.</p><p></p><p>Mmuya, M. (2007). Developing and writing a research proposal: instruction manual.</p><p>OSSREA, Addis Ababa, ET.</p><p></p><p>Moed, H. F., & Halevi, G. (2015). Research Impact. ASSOCIATION FOR INFORMATION</p><p>SCIENCE AND TECHNOLOGY, 66(10), 1988-2002. https://doi.org/10.1002/asi</p><p></p><p>Mohammed, K. I., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Albahri, A. S., Alsalem,</p><p>M. A., & Mohsin, A. H. (2020). Novel technique for reorganisation of opinion order</p><p>to interval levels for solving several instances representing prioritisation in patients</p><p>with multiple chronic diseases. Computer Methods and Programs in Biomedicine,</p><p>185, 105151. https://doi.org/10.1016/j.cmpb.2019.105151</p><p></p><p>Mosadeghi, R., Warnken, J., Tomlinson, R., & Mirfenderesk, H. (2015). Comparison of</p><p>Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban landuse</p><p>planning. Computers, Environment and Urban Systems, 49, 54-65.</p><p></p><p>Moteleb, A. A., & Woodman, M. (2007). Notions of knowledge management systems: A</p><p>gap analysis. Electronic Journal of Knowledge Management, 5(1).</p><p></p><p>Nonaka, I., & Takeuchi, H. (1996). The knowledge-creating company: How Japanese</p><p>companies create the dynamics of innovation. Long Range Planning, 4(29), 592.</p><p></p><p>Nor, S., Mohamad, A., Embi, M. A., & Nordin, N. (2015). Determining e-Portfolio</p><p>Elements in Learning Process Using Fuzzy Delphi Analysis. International Education</p><p>Studies, 8(9), 171-176. https://doi.org/10.5539/ies.v8n9p171</p><p></p><p>Orr, J. A., & Cyganski, D. (1996). A Course in Information Engineering Across the</p><p>Professions. Multidisciplinary Education, 95-98.</p><p></p><p>Paulsen, M. B. (2014). Higher education: Handbook of theory and research (Vol. 29).</p><p>Springer.</p><p></p><p>Pellegrino, J. W., & Wilson, M. (2015). Assessment of complex cognition: commentary</p><p>on the design and validation of assessments. Theory Into Practice, 54(3), 263-273.</p><p></p><p>Penyelidikan, J., & Jilid, D. (2016). Jurnal Penyelidikan Dedikasi Jilid 11, 2016. Jurnal</p><p>Penyelidikan Dedikasi Jilid, 11(4), 32-50.</p><p></p><p>Peter, S., Bobby, P., Samuel, J., Medo, J., Tamba, V., & Kabba, S. (2012). Modelling land</p><p>fi ll location using Geographic Information Systems ( GIS ) and Multi-Criteria</p><p>Decision Analysis ( MCDA ): Case study Bo , Southern Sierra Leone. Applied</p><p>Geography. https://doi.org/10.1016/j.apgeog.2012.06.013</p><p></p><p>Phillips, L. D., & e Costa, C. A. B. (2007). Transparent prioritisation, budgeting and</p><p>resource allocation with multi-criteria decision analysis and decision conferencing.</p><p>Annals of Operations Research, 154(1), 51-68.</p><p></p><p>Pyle, D. H., & Turnovsky, S. J. (1975). Safety-First and Expected Utility Maximization in</p><p>Mean-Standard Deviation Portfolio Analysis. Stochastic Optimization Models in</p><p>Finance. ACADEMIC PRESS, INC. https://doi.org/10.1016/b978-0-12-780850-</p><p>5.50025-3</p><p></p><p>Qader, M. A., Zaidan, B. B., Zaidan, A. A., Ali, S. K., Kamaluddin, M. A., & Radzi, W.</p><p>B. (2017). A methodology for football players selection problem based on multimeasurements</p><p>criteria analysis. Measurement: Journal of the International</p><p>Measurement Confederation, 111, 38-50.</p><p></p><p>Qu, L., & Chen, Y. (2008). A hybrid MCDM method for route selection of multimodal</p><p>transportation network. In International Symposium on Neural Networks (pp. 374-</p><p>383).</p><p></p><p>Ragab, M. A. F., & Arisha, A. (2013). Knowledge management and measurement : a</p><p>critical review. Knowledge Management, 17(6), 873-901.</p><p>https://doi.org/10.1108/JKM-12-2012-0381</p><p></p><p>Rahimianzarif, E., & Moradi, M. (2017). Designing Integrated Management Criteria of</p><p>Creative Ideation Based on Fuzzy Delphi Analytical Hierarchy Process. International</p><p>Journal of Fuzzy Systems, 20(3), 877-900. https://doi.org/10.1007/s40815-017-0370-</p><p>6</p><p></p><p>Rahman, M. N. A., Nor, M. M., Nadzim, N. A., Radzi, N. M. M., & Moktar, N. (2017).</p><p>Application of Fuzzy Delphi Approach in Designing Homeschooling Education for</p><p>Early Childhood Islamic Education. International Journal of Academic Research in</p><p>Business and Social Sciences, 6(12). https://doi.org/10.6007/ijarbss/v6-i12/2566</p><p></p><p>Raman, D. R., Geisinger, B. N., Kemis, M. R., & de la Mora, A. (2016). Key actions of</p><p>successful summer research mentors. Higher Education, 72(3), 363-379.</p><p></p><p>Raman, D. R., Geisinger, B. N., Kemis, M. R., & Mora, A. De. (2015). Key actions of</p><p>successful summer research mentors. Higher Education, 72(3), 363-379.</p><p>https://doi.org/10.1007/s10734-015-9961-z</p><p></p><p>Ramli, N. A., & Munisamy, S. (2013). A STUDY ON ECO-EFFICIENCY OF THE</p><p>MANUFACTURING SECTOR IN MALAYSIA. __ ___ __,</p><p>150(12), 480-491.</p><p></p><p>Ranga, M., & Etzkowitz, H. (2010). Athena in the World of Techne : The Gender</p><p>Dimension of Technology , Innovation and Entrepreneurship. Technol. Manag. Innov.</p><p>2010, 5(1), 1-12.</p><p></p><p>Rasolabadi, M., Khaledi, S., Khayati, F., Kalhor, M. M., Penjvini, S., & Gharib, A. (2015).</p><p>Scientific production of Medical Universities in the West of Iran: A scientometric</p><p>analysis. Acta Informatica Medica, 23(4), 206.</p><p></p><p>Raupach, T., Munscher, C., Beissbarth, T., Burckhardt, G., & Pukrop, T. (2011). Towards</p><p>outcome-based programme evaluation: Using student comparative self-assessments</p><p>to determine teaching effectiveness. Medical Teacher, 33(8).</p><p>https://doi.org/10.3109/0142159X.2011.586751</p><p></p><p>Rolfe, I., & Mcpherson, J. (1995). Formative assessment: how am I doing? The Lancet,</p><p>345(8953), 837-839.</p><p></p><p>Russell, J. C., & Holmes, N. D. (2015). Tropical island conservation: Rat eradication for</p><p>species recovery. Biological Conservation, 185, 1-7.</p><p>https://doi.org/10.1016/j.biocon.2015.01.009</p><p></p><p>Russell, J. E., D_Costa, A. R., Runck, C., Barnes, D. W., Barrera, A. L., Hurst-Kennedy,</p><p>J., _ others. (2015). Bridging the undergraduate curriculum using an integrated</p><p>course-embedded undergraduate research experience (ICURE). CBE_Life Sciences</p><p>Education, 14(1), ar4.</p><p></p><p>Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of</p><p>Mathematical Psychology, 15(3), 234-281. https://doi.org/10.1016/0022-</p><p>2496(77)90033-5</p><p></p><p>Saaty, T. L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York, 579-606.</p><p>https://doi.org/10.3414/ME10-01-0028</p><p></p><p>Saremi, M., Mousavi, S. F., & Sanayei, A. (2009). TQM consultant selection in SMEs with</p><p>TOPSIS under fuzzy environment. Expert Systems with Applications, 36(2), 2742-</p><p>2749.</p><p></p><p>Schiuma, G., Carlucci, D., & Sole, F. (2012). Applying a systems thinking framework to</p><p>assess knowledge assets dynamics for business performance improvement. Expert</p><p>Systems with Applications, 39(9), 8044-8050.</p><p>https://doi.org/10.1016/j.eswa.2012.01.139</p><p></p><p>Seol, I., & Sarkis, J. (2005). A multi-attribute model for internal auditor selection.</p><p>Managerial Auditing Journal, 20(8), 876-892.</p><p></p><p>Serrai, W., Abdelli, A., Mokdad, L., & Serrai, A. (2017). Dealing with user constraints in</p><p>MCDM based web service selection. In Computers and Communications (ISCC),</p><p>2017 IEEE Symposium on (pp. 158-163).</p><p></p><p>Shih, H. S., Shyur, H. J., & Lee, E. S. (2007). An extension of TOPSIS for group decision</p><p>making. Mathematical and Computer Modelling, 45(7-8), 801-813.</p><p>https://doi.org/10.1016/j.mcm.2006.03.023</p><p></p><p>Singla, A., Ahuja, I. S., & Sethi, A. S. (2018). Comparative Analysis Of Technology Push</p><p>Strategies Influencing Sustainable Development In Manufacturing Industries Using</p><p>Topsis And Vikor Technique. International Journal for Quality Research, 12(1).</p><p></p><p>Smith, B., & McGannon, K. R. (2018). Developing rigor in qualitative research: Problems</p><p>and opportunities within sport and exercise psychology. International Review of Sport</p><p>and Exercise Psychology, 11(1), 101-121.</p><p></p><p>Smith, K. A. (2005). Pedagogies of Engagement : Journal_of_Engineering_Education,</p><p>94(January), 87-101.</p><p></p><p>Sorooshian, S. (2014). Study on unbalanceness of the balanced scorecard. Applied</p><p>Mathematical Sciences, 8(81-84), 4163-4169.</p><p></p><p>Stecker, P. M., Fuchs, L. S., & Fuchs, D. (2005). Using curriculum-based measurement to</p><p>improve student achievement: Review of research. Psychology in the Schools, 42(8),</p><p>795-819.</p><p></p><p>Taharim, A., Ariff, M., & Kor, L. K. (2012). Application of fuzzy technique for order</p><p>preference by similarity to the ideal solution in the selection of candidates/Mohd Ariff</p><p>Ahmad Taharim and Kor Liew Kee. Social and Management Research Journal, 9(1),</p><p>35-54.</p><p></p><p>Tarmudi, Z., Muhiddin, A., Rossdy, M., & Tamsin, W. D. (2016). Fuzzy Delphi Method</p><p>for Evaluating Effective Teaching Based on Students' Perspective. Academia Journal</p><p>UiTMT, 5(1), 1-10. https://doi.org/10.1017/CBO9781107415324.004</p><p></p><p>Tavakkoli-Moghaddam, R., Mousavi, S. M., & Heydar, M. (2011). An integrated AHPVIKOR</p><p>methodology for plant location selection. International Journal of</p><p>Engineering, Transactions B: Applications, 24(2), 127-137.</p><p></p><p>Taylan, O., Bafail, A. O., Abdulaal, R. M. S., & Kabli, M. R. (2014). Construction projects</p><p>selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies.</p><p>Applied Soft Computing Journal, 17, 105-116.</p><p>https://doi.org/10.1016/j.asoc.2014.01.003</p><p></p><p>Technology, N. E. W. (1999). _ M I N _ T _ _ -- _. MANAGEMENT OF INNOVATION</p><p>AND NEW TECHNOLOGY RESEARCH CENTRE, (86).</p><p></p><p>Teece, D. J. (2000). Strategies for managing knowledge assets: the role of firm structure</p><p>and industrial context. Long Range Planning, 33(1), 35-54.</p><p></p><p>Thokala, P., Devlin, N., Marsh, K., Baltussen, R., Boysen, M., Kalo, Z., _ others. (2016).</p><p>Multiple criteria decision analysis for health care decision making_an introduction:</p><p>report 1 of the ISPOR MCDA Emerging Good Practices Task Force. Value in Health,</p><p>19(1), 1-13.</p><p></p><p>Timmerman, B. E. C., Strickland, D. C., Johnson, R. L., & Payne, J. R. (2011).</p><p>Development of a _universal_rubric for assessing undergraduates' scientific</p><p>reasoning skills using scientific writing. Assessment & Evaluation in Higher</p><p>Education, 36(5), 509-547.</p><p></p><p>Wagner, D. L., Hammerschmidt-Snidarich, S. M., Espin, C. A., Seifert, K., & McMaster,</p><p>K. L. (2017). Pre-service teachers_ interpretation of CBM progress monitoring data.</p><p>Learning Disabilities Research & Practice, 32(1), 22-31.</p><p></p><p>Wang, J.-J., Jing, Y.-Y., Zhang, C.-F., & Zhao, J.-H. (2009). Review on multi-criteria</p><p>decision analysis aid in sustainable energy decision-making. Renewable and</p><p>Sustainable Energy Reviews, 13(9), 2263-2278.</p><p></p><p>Xu, J., Dinwoodie, J., & Chang, C. H. (2012). Seeing is believing: Developing research</p><p>skills in international maritime students through authentic learning. International</p><p>Journal of Management Education, 10(1), 50-60.</p><p>https://doi.org/10.1016/j.ijme.2012.02.005</p><p></p><p>Yorke, M. (2003). Formative assessment in higher education : Moves towards theory and</p><p>the enhancement of pedagogic practice. Kluwer Academic Publishers, 45(1997), 477-</p><p>501.</p><p></p><p>Zaidan, A. A., Zaidan, B. B., Al-Haiqi, A., Kiah, M. L. M., Hussain, M., & Abdulnabi, M.</p><p>(2015). Evaluation and selection of open-source EMR software packages based on</p><p>integrated AHP and TOPSIS. Journal of Biomedical Informatics, 53, 390-404.</p><p></p><p>Zainal, Z. (2007). Case study as a research method. Jurnal Kemanusiaan, 5(1), 1-6.</p><p></p><p>Zhou, F., Wang, X., & Samvedi, A. (2018). Quality improvement pilot program selection</p><p>based on dynamic hybrid MCDM approach. Industrial Management and Data</p><p>Systems, 118(1), 144-163. https://doi.org/10.1108/IMDS-11-2016-0498</p><p></p><p>Zolfani, S. H., & Antucheviciene, J. (2012). Team member selecting based on AHP and</p><p>TOPSIS grey. Inzinerine Ekonomika-Engineering Economics, 23(4), 425-434.</p> |