Published Dec 23, 2020
Jozef Richard Raco Johanis Ohoitimur James Krejci Yulius Raton Ronaldo Rottie Debby Paseru Octavianus Muaja Ronald Rachmadi


Higher education places a great emphasis on research. In order to remain competitive, Catholic universities also place a great focus on research. The quality and quantity of lecturer research is one of the determining factors in the ranking of a tertiary institution. An evaluation of lecturer research productivity requires an instrument to measure lecturer research activities and understand determinants. Lecturer productivity involves many complex factors that are both objective and subjective, and is considered part of multi-criteria decision making. This study uses the AHP approach to determine the weights of the criteria and sub-criteria and their dominant factors. This method is used to evaluate the productivity of lecturers at Unika De La Salle Manado and has implications and applications for all universities.


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commitment, higher education, MCDA, productivity, Pareto chart

Achillas, C., Moussiopoulos, N., Karagiannidis, A., Banias, G., & Perkoulidis, G. (2013). The use of multi-criteria decision analysis to tackle waste management problems: A literature review. Waste Management and Research, 31(2), 115-129. Doi:

Adiat, K. A. N., Nawawi, M. N. M., & Abdullah, K. (2012). Assessing the accuracy of GIS-based elementary multi criteria decision analysis as a spatial prediction tool - A case of predicting potential zones of sustainable groundwater resources. Journal of Hydrology, 440-441, 75-89. Doi:

Ahmadi Sani, N., Babaie Kafaky, S., Pukkala, T., & Mataji, A. (2016). Integrated use of GIS, remote sensing and multi-criteria decision analysis to assess ecological land suitability in multi-functional forestry. Journal of Forestry Research, 27(5), 1127-1135. Doi:

Aksoy, E., & San, B. T. (2017). Geographical information systems (GIS) and multi-criteria decision analysis (MCDA) integration for sustainable landfill site selection considering dynamic data source. Bulletin of Engineering Geology and the Environment, 1-13. Doi:

Aliewi, A., El-Sayed, E., Akbar, A., Hadi, K., & Al-Rashed, M. (2017). Evaluation of desalination and other strategic management options using multi-criteria decision analysis in Kuwait. Desalination, 413, 40-51. Doi:

Alitaneh, S. (2019). Theories on coefficient of variation scales triangle and normalization of different variables: a new model in development of multiple criteria decision analysis. International Journal of the Analytic Hierarchy Process, 11(2), 283-295. Doi:

Almasri, M. N., & Kaluarachchi, J. J. (2005). Multi-criteria decision analysis for the optimal management of nitrate contamination of aquifers. Journal of Environmental Management, 74(4), 365-381.doi:

Arce, M. E., Saavedra, Á., Míguez, J. L., & Granada, E. (2015). The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review. Renewable and Sustainable Energy Reviews, 47, 924-932. Doi:

Awad-Núñez, S., González-Cancelas, N., Soler-Flores, F., & Camarero-Orive, A. (2015). How should the sustainability of the location of dry ports be measured? A proposed methodology using bayesian networks and multi-criteria decision analysis. Transport, 30(3), 312-319. Doi:
Azarnivand, A., & Chitsaz, N. (2015). Adaptive policy responses to water shortage mitigation in the arid regions--a systematic approach based on eDPSIR, DEMATEL, and MCDA. Environmental Monitoring and Assessment, 187(2): 23, 1-15. Doi:

Bachmann, T. M. (2013). Towards life cycle sustainability assessment: Drawing on the NEEDS project's total cost and multi-criteria decision analysis ranking methods. International Journal of Life Cycle Assessment, 18(9), 1698-1709. Doi:

Balana, B. B., Mathijs, E., & Muys, B. (2010). Assessing the sustainability of forest management: An application of multi-criteria decision analysis to community forests in northern Ethiopia. Journal of Environmental Management, 91(6), 1294-1304. Doi:

Bhagat, S., Bhardawaj, A., Mittal, P., Chandak, P., Akhtar, M., & Sharma, P. (2016). Evaluating plastic waste disposal options in Delhi using multi criteria decision analysis. IIOAB Journal, 7(11Specialissue), 25-35.

Blanquart, S. (2009). Role of multicriteria decision-aid (mcda) to promote sustainable agriculture: Heterogeneous data and different kinds of actors in a decision process. International Journal of Agricultural Resources, Governance and Ecology, 8(2-4), 258-281. Doi:

Blattert, C., Lemm, R., Thees, O., Lexer, M. J., & Hanewinkel, M. (2017). Management of ecosystem services in mountain forests: Review of indicators and value functions for model based multi-criteria decision analysis. Ecological Indicators, 79, 391-409. Doi:

Bojórquez-Tapia, L. A., Luna-González, L., Cruz-Bello, G. M., Gómez-Priego, P., Juárez-Marusich, L., & Rosas-Pérez, I. (2011). Regional environmental assessment for multiagency policy making: Implementing an environmental ontology through GIS-MCDA. Environment and Planning B: Urban Analytics and City Science, 38(3), 539-563. Doi:

Bryce, J. M., Flintsch, G., & Hall, R. P. (2014). A multi criteria decision analysis technique for including environmental impacts in sustainable infrastructure management business practices. Transportation Research Part D: Transport and Environment, 32, 435-445. Doi:

Cai, Y., Applegate, S., Yue, W., Cai, J., Wang, X., Liu, G., & Li, C. (2017). A hybrid life cycle and multi-criteria decision analysis approach for identifying sustainable development strategies of Beijing's taxi fleet. Energy Policy, 100, 314-325. Doi:

Calizaya, A., Meixner, O., Bengtsson, L., & Berndtsson, R. (2010). Multi-criteria decision analysis (MCDA) for integrated water resources management (IWRM) in the Lake Poopo basin, Bolivia. Water Resources Management, 24(10), 2267-2289. Doi:

Cegan, J. C., Filion, A. M., Keisler, J. M., & Linkov, I. (2017). Trends and applications of multi-criteria decision analysis in environmental sciences: Literature review. Environment Systems and Decisions, 37(2), 123-133. Doi:

Chabowski, B. R., Mena, J. A., & Gonzalez-Padron, T. L. (2011). The structure of sustainability research in marketing, 1958–2008: a basis for future research opportunities. Journal of the Academy of Marketing Science, 39(1), 55-70. Doi:

Chen, C. (2014). The CiteSpace manual. Retrieved: January, 12, 2019.

Choi, S., Kim, J. H., & Lee, D. (2012). Decision of the water shortage mitigation policy using multi-criteria decision analysis. KSCE Journal of Civil Engineering, 16(2), 247-253. Doi:

Chunye, W., & Delu, P. (2017). Zoning of Hangzhou Bay ecological red line using GIS-based multi-criteria decision analysis. Ocean and Coastal Management, 139, 42-50. Doi:

Cinelli, M., Coles, S. R., & Kirwan, K. (2014). Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment. Ecological Indicators, 46, 138-148. Doi:

Cobuloglu, H. I., & Büyüktahtakin, I. E. (2015). A stochastic multi-criteria decision analysis for sustainable biomass crop selection. Expert Systems with Applications, 42(15-16), 6065-6074. Doi:

Convertino, M., Baker, K. M., Vogel, J. T., Lu, C., Suedel, B., & Linkov, I. (2013). Multi-criteria decision analysis to select metrics for design and monitoring of sustainable ecosystem restorations. Ecological Indicators, 26, 76-86. Doi:

Datta, D., & Kumar Ghosh, P. (2015). Evaluating sustainability of community endeavours in an Indian floodplain wetland using multi-criteria decision analysis. Singapore Journal of Tropical Geography, 36(1), 38-56. Doi:

Dimopoulou, E., Tolidis, K., Orfanoudakis, Y., & Adam, K. (2013). Spatial multi-criteria decision analysis for site selection of sustainable stone waste disposal. Fresenius Environmental Bulletin, 22(7 A), 2022-2026.
Eggers, J., Holmgren, S., Nordström, E. Lämås, T., Lind, T., & Öhman, K. (2017). Balancing different forest values: Evaluation of forest management scenarios in a multi-criteria decision analysis framework. Forest Policy and Economics, in press.

Esteves, A. M. (2008). Evaluating community investments in the mining sector using multi-criteria decision analysis to integrate SIA with business planning. Environmental Impact Assessment Review, 28(4-5), 338-348. Doi:

Esteves, A. M. (2008). Mining and social development: Refocusing community investment using multi-criteria decision analysis. Resources Policy, 33(1), 39-47. Doi:

Estévez, R. A., & Gelcich, S. (2015). Participative multi-criteria decision analysis in marine management and conservation: Research progress and the challenge of integrating value judgments and uncertainty. Marine Policy, 61, 1-7. Doi:

Favretto, N., Stringer, L. C., Dougill, A. J., Dallimer, M., Perkins, J. S., Reed, M. S., Mulale, K. (2016). Multi-criteria decision analysis to identify dryland ecosystem service trade-offs under different rangeland land uses. Ecosystem Services, 17, 142-151. Doi:

Feng, C., & Mai, Y. (2016). Sustainability assessment of products based on fuzzy multi-criteria decision analysis. International Journal of Advanced Manufacturing Technology, 85(1-4), 695-710. Doi:

Fernandes, I. D. S., Ferreira, F. A. F., Bento, P., Jalali, M. S., & António, N. J. S. (2017). Assessing sustainable development in urban areas using cognitive mapping and MCDA. International Journal of Sustainable Development and World Ecology, 1-11. Doi:

Fu, X., Niu, Z., & Yeh, M. K. (2016). Research trends in sustainable operation: A bibliographic coupling clustering analysis from 1988 to 2016. Cluster Computing, 19(4), 2211-2223. Doi:

Ghajari, Y., Alesheikh, A., Modiri, M., Hosnavi, R., & Abbasi, M. (2017). Spatial modelling of urban physical vulnerability to explosion hazards using GIS and Fuzzy MCDA. Sustainability, 9(7), 1274. Doi:

Gigovi?, L., Pamu?ar, D., Luki?, D., & Markovi?, S. (2016). GIS-fuzzy DEMATEL MCDA model for the evaluation of the sites for ecotourism development: A case study of “Dunavski klju?” region, serbia. Land Use Policy, 58, 348-365. Doi:

Gonzalez, F., & Pradenas, L. (2019). Multi-criteria analysis to improve the service in gas stations. International Journal of the Analytic Hierarchy Process, 11(1), 67-90. Doi:

Hatefi, S. M., & Torabi, S. A. (2010). A common weight MCDA-DEA approach to construct composite indicators. Ecological Economics, 70(1), 114-120. Doi:

Huang, I. B., Keisler, J., & Linkov, I. (2011). Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends. Science of the Total Environment, 409(19), 3578-3594. Doi:

Hyde, K. M., & Maier, H. R. (2006). Distance-based and stochastic uncertainty analysis for multi-criteria decision analysis in excel using visual basic for applications. Environmental Modelling and Software, 21(12), 1695-1710. Doi:

Hyde, K. M., Maier, H. R., & Colby, C. B. (2005). A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resource decision making. Journal of Environmental Management, 77(4), 278-290. Doi:

Jeong, J. S., García-Moruno, L., Hernández-Blanco, J., & Sánchez-Ríos, A. (2016). Planning of rural housings in reservoir areas under (mass) tourism based on a fuzzy DEMATEL-GIS/MCDA hybrid and participatory method for Alange, Spain. Habitat International, 57, 143-153. Doi:

Jhariya, D. C., Kumar, T., Gobinath, M., Diwan, P., & Kishore, N. (2016). Assessment of groundwater potential zone using remote sensing, GIS and multi criteria decision analysis techniques. Journal of the Geological Society of India, 88(4), 481-492. Doi:

Jiang, Y., Ritchie, B. W., & Benckendorff, P. (2019). Bibliometric visualisation: An application in tourism crisis and disaster management research. Current Issues in Tourism, 22(16), 1925-1957. Doi:

Khalili, N. R., & Duecker, S. (2013). Application of multi-criteria decision analysis in design of sustainable environmental management system framework. Journal of Cleaner Production, 47, 188-198. Doi:

Klein, S. J. W., & Whalley, S. (2015). Comparing the sustainability of U.S. electricity options through multi-criteria decision analysis. Energy Policy, 79, 127-149. Doi:

Kulkarni, S. H., Jirage, B. J., & Anil, T. R. (2017). Alternative energy options for India—A multi-criteria decision analysis to rank energy alternatives using analytic hierarchy process and fuzzy logic with an emphasis to distributed generation. Distributed Generation and Alternative Energy Journal, 32(2), 29-55. Doi:

Kumar, A., Sah, B., Singh, A. R., Deng, Y., He, X., Kumar, P., & Bansal, R. C. (2017). A review of multi criteria decision making (MCDM) towards sustainable renewable energy development. Renewable and Sustainable Energy Reviews, 69, 596-609. Doi:

Kumar, V., Rahman, Z., & Kazmi, A. A. (2013). Sustainability marketing strategy: An analysis of recent literature. Global Business Review, 14(4), 601-625. Doi:

Liu, Y., Qu, Y., Lei, Z., & Jia, H. (2017). Understanding the evolution of sustainable consumption research. Sustainable Development, 25(5), 414-430. Doi:

Martín-Gamboa, M., Iribarren, D., García-Gusano, D., & Dufour, J. (2017). A review of life-cycle approaches coupled with data envelopment analysis within multi-criteria decision analysis for sustainability assessment of energy systems. Journal of Cleaner Production, 150, 164-174. Doi:

Maxim, A. (2014). Sustainability assessment of electricity generation technologies using weighted multi-criteria decision analysis. Energy Policy, 65, 284-297. Doi:

Mendoza, G. A., & Martins, H. (2006). New modelling paradigms in using multi-criteria decision analysis for sustainable forest management. USDA Forest Service - General Technical Report PNW, (688). Doi:

Modica, G., Laudari, L., Barreca, F., & Fichera, C. R. (2014). A GIS-MCDA based model for the suitability evaluation of traditional grape varieties: The case-study of 'mantonico' grape (Calabria, Italy). International Journal of Agricultural and Environmental Information Systems, 5(3), 1-16. Doi:

Monprapussorn, S., Thaitakoo, D., Watts, D. J., & Banomyong, R. (2009). Multi criteria decision analysis and geographic information system framework for hazardous waste transport sustainability. Journal of Applied Sciences, 9(2), 268-277. Doi:

Mura, M., Longo, M., Micheli, P., & Bolzani, D. (2018). The evolution of sustainability measurement research. International Journal of Management Reviews, 20(3), 661-695. Doi:

Musakwa, W. (2018). Identifying land suitable for agricultural land reform using GIS-MCDA in South Africa. Environment, Development and Sustainability, 20(5), 2281-2299. Doi:

Onu, P. U., Quan, X., Xu, L., Orji, J., & Onu, E. (2017). Evaluation of sustainable acid rain control options utilizing a fuzzy TOPSIS multi-criteria decision analysis model frame work. Journal of Cleaner Production, 141, 612-625. Doi:

Ouma, Y. O., Kipkorir, E. C., & Tateishi, R. (2011). MCDA-GIS integrated approach for optimized landfill site selection for growing urban regions: An application of neighborhood-proximity analysis. Annals of GIS, 17(1), 43-62. Doi:

Pietersen, K. (2006). Multiple criteria decision analysis (MCDA): A tool to support sustainable management of groundwater resources in South Africa. Water SA, 32(2), 119-128. Doi:

Pohekar, S. D., & Ramachandran, M. (2004). Application of multi-criteria decision making to sustainable energy planning—a review. Renewable and Sustainable Energy Reviews, 8(4), 365-381. Doi:

Rezaee, A., Mortazavi, S. A., Gholamreza, P., & Sadegh, K. (2014). Evaluation and comparison of the sustainability level of agronomy crops under drought condition by using MCDA in the east of Zayandeh-Rud river basin. Journal of Environmental Studies, 40(2), 529-540.

Romano, G., Dal Sasso, P., Trisorio Liuzzi, G., & Gentile, F. (2015). Multi-criteria decision analysis for land suitability mapping in a rural area of southern Italy. Land Use Policy, 48, 131-143. Doi:

Rosén, L., Back, P., Söderqvist, T., Norrman, J., Brinkhoff, P., Norberg, T., & Döberl, G. (2015). SCORE: A novel multi-criteria decision analysis approach to assessing the sustainability of contaminated land remediation. Science of the Total Environment, 511, 621-638. Doi:

Ruiz-Real, J., Uribe-Toril, J., Gázquez-Abad, J., & de Pablo Valenciano, J. (2019). Sustainability and retail: analysis of global research. Sustainability, 11(1), 14. Doi:

Rybarczyk, G., & Wu, C. (2010). Bicycle facility planning using GIS and multi-criteria decision analysis. Applied Geography, 30(2), 282-293. Doi:

Santos, J., Pagsuyoin, S. A., & Latayan, J. (2016). A multi-criteria decision analysis framework for evaluating point-of-use water treatment alternatives. Clean Technologies and Environmental Policy, 18(5), 1263-1279. Doi:

Scholten, L., Schuwirth, N., Reichert, P., & Lienert, J. (2015). Tackling uncertainty in multi-criteria decision analysis - an application to water supply infrastructure planning. European Journal of Operational Research, 242(1), 243-260. Doi:

Schoolman, E. D., Guest, J. S., Bush, K. F., & Bell, A. R. (2012). How interdisciplinary is sustainability research? Analyzing the structure of an emerging scientific field. Sustainability Science, 7(1), 67-80. Doi:

Schwenk, W. S., Donovan, T. M., Keeton, W. S., & Nunery, J. S. (2012). Carbon storage, timber production, and biodiversity: Comparing ecosystem services with multi-criteria decision analysis. Ecological Applications, 22(5), 1612-1627. Doi:

Sen, P., Roy, M., & Pal, P. (2017). Evaluation of environmentally conscious manufacturing programs using a three-hybrid multi-criteria decision analysis method. Ecological Indicators, 73, 264-273. Doi:

Seo, J. P., Cho, W., & Cheong, T. S. (2015). Development of priority setting process for the small stream restoration projects using multi criteria decision analysis. Journal of Hydroinformatics, 17(2), 211-225. Doi:

Serna, J., Díaz Martinez, E. N., Narváez Rincón, P. C., Camargo, M., Gálvez, D., & Orjuela, Á. (2016). Multi-criteria decision analysis for the selection of sustainable chemical process routes during early design stages. Chemical Engineering Research and Design, 113, 28-49. Doi:

Sheoran, M., Kumar, D., Kumar, V., & Verma, D. (2018). Understanding the trends of marketing research and its future directions: a citation analysis. The Bottom Line, 31(3/4), 191-207. Doi:

Sinan Erzurumlu, S., & Erzurumlu, Y. O. (2015). Sustainable mining development with community using design thinking and multi-criteria decision analysis. Resources Policy, 46, 6-14. Doi:
Sparrevik, M., Barton, D. N., Bates, M. E., & Linkov, I. (2012). Use of stochastic multi-criteria decision analysis to support sustainable management of contaminated sediments. Environmental Science and Technology, 46(3), 1326-1334. Doi:

Talukder, B., Blay-Palmer, A., Hipel, K. W., & vanLoon, G. W. (2017). Elimination method of multi-criteria decision analysis (MCDA): A simple methodological approach for assessing agricultural sustainability. Sustainability (Switzerland), 9(2), 287. Doi:

Tang, M., Liao, H., Wan, Z., Herrera-Viedma, E., & Rosen, M. (2018). Ten years of sustainability (2009 to 2018): A bibliometric overview. Sustainability, 10(5), 1655. Doi:

Taticchi, P., Garengo, P., Nudurupati, S. S., Tonelli, F., & Pasqualino, R. (2015). A review of decision-support tools and performance measurement and sustainable supply chain management. International Journal of Production Research, 53(21), 6473-6494. Doi:

Uhde, B., Hahn, A., Griess, V. C., & Knoke, T. (2015). Hybrid MCDA methods to integrate multiple ecosystem services in forest management planning: A critical review. Environmental Management, 56(2), 373-388. Doi:

Vo, T. T. Q., Xia, A., Rogan, F., Wall, D. M., & Murphy, J. D. (2017). Sustainability assessment of large-scale storage technologies for surplus electricity using group multi-criteria decision analysis. Clean Technologies and Environmental Policy, 19(3), 689-703. Doi:

Volchko, Y., Norrman, J., Rosén, L., Bergknut, M., Josefsson, S., Söderqvist, T., Tysklind, M. (2014). Using soil function evaluation in multi-criteria decision analysis for sustainability appraisal of remediation alternatives. Science of the Total Environment, 485-486(1), 785-791. Doi:

Volkart, K., Weidmann, N., Bauer, C., & Hirschberg, S. (2017). Multi-criteria decision analysis of energy system transformation pathways: A case study for Switzerland. Energy Policy, 106, 155-168. Doi:

Wang, H. (2015). A generalized MCDA-DEA (multi-criterion decision analysis-data envelopment analysis) approach to construct slacks-based composite indicator. Energy, 80, 114-122. Doi:

Wang, J. -., Jing, Y. -., Zhang, C. -., & Zhao, J. -. (2009). Review on multi-criteria decision analysis aid in sustainable energy decision-making. Renewable and Sustainable Energy Reviews, 13(9), 2263-2278. Doi:

Wilkens, I., & Schmuck, P. (2012). Transdisciplinary evaluation of energy scenarios for a German village using multi-criteria decision analysis. Sustainability, 4(4), 604-629. Doi:

Wolfslehner, B., & Seidl, R. (2010). Harnessing ecosystem models and multi-criteria decision analysis for the support of forest management. Environmental Management, 46(6), 850-861. Doi:

Zheng, J., Egger, C., & Lienert, J. (2016). A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty. Journal of Environmental Management, 183, 895-908. Doi: