An Integrated Full Consistent LOPCOW-EDAS Framework for Modelling Consumer Decision Making for Organic Food Selection
DOI:
https://doi.org/10.2298/YJOR240315022SKeywords:
Organic Food, Green Consumerism, Consumer Black Box Model, MCDM, Intuitionistic Fuzzy Numbers (IFNs), Full Consistency Method (FUCOM)Abstract
Over the years, there has been an upsurge in the buying and consuming green products like organic foods. However, past studies are limited to exploring the effects of behavioral factors on consumers' buying decisions for green products. The present paper fills the gap in the literature by providing a multi-criteria decision-making (MCDM) framework for consumer decision-making for selecting organic foods. To set the criteria for comparing organic foods, the theoretical foundation of the consumers’ black box model concerning the intention-behavior gap is applied. The present paper proposes an intuitionistic fuzzy number (IFN) based hybrid Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) and Evaluation based on Distance from Average Solution (EDAS) model with an inherent capability to check the consistency in the calculation of the criteria weights with the help of the Full Consistency Method (FUCOM). The results have shown that greenwashing has changed the customers' mindset and they are considering mostly the factors of organic food selection that are the same as traditional products in the market. The output has provided a valid, robust and reliable solution, further established by performing sensitivity analysis.References
B. Notarnicola, K. Hayashi, M. A. Curran, and D. Huisingh, “Progress in working towards a more sustainable agri-food industry.” Journal of cleaner production, vol. 28, pp. 1-8, 2012.
L. Bai, M. Wang, and S. Gong, “Understanding the antecedents of organic food purchases: The important roles of beliefs, subjective norms, and identity expressiveness.” Sustainability, vol. 11, pp. 11, 2019.
V. A. Raj, S. S. Rai, and S. S. Jasrotia, “Sustainable purchase intentions towards organic food during Covid-19 pandemic: an exploratory study on Indian consumers.” Social Responsibility Journal, 2023.
G. Gumber, and J. Rana, “Who Buys Organic Fruits, Vegetables & Milk? A Demographic Portrayal of Consumers.” Journal of Management, vol. 6, no. 2, 2019.
J. Rana, and J. Paul, “Consumer behavior and purchase intention for organic food: A review and research agenda.” Journal of Retailing and Consumer Services, vol. 38, pp. 157-165, 2017.
R. Zanoli, S. Naspetti, M. Janssen, and U. Hamm, “Mediation and moderation in food-choice models: a study on the effects of consumer trust in logo on choice.” NJAS-Wageningen Journal of Life Sciences, vol. 72, pp. 41-48, 2015.
B. Parguel, and G. Johnson, “Beyond greenwashing: Addressing ‘the great illusion’of green advertising.” Revue de l’organisation responsable, vol. 16, no. 2, pp. 59-66, 2021.
Y. S. Chen, and C. H. Chang, “Greenwash and green trust: The mediation effects of green consumer confusion and green perceived risk.” Journal of business ethics, vol. 114, pp. 489-500, 2013.
C. N. Leonidou, and D. Skarmeas, “Gray shades of green: Causes and consequences of green skepticism.” Journal of business ethics, vol. 144, pp. 401-415, 2017.
J. Rana, and J. Paul, “Health motive and the purchase of organic food: A meta‐analytic review.” International Journal of Consumer Studies, vol. 44, no. 2, pp. 162-171, 2020.
M. Dean, M. M. Raats, and R. Shepherd, “The role of self‐identity, past behavior, and their interaction in predicting intention to purchase fresh and processed organic food 1.” Journal of applied social psychology, vol. 42, no. 3, pp. 669-688. 2012.
B. Chekima, A. Igau, S. A. W. S. K. Wafa, and K. Chekima, “Narrowing the gap: Factors driving organic food consumption.” Journal of Cleaner Production, vol. 166, pp. 1438-1447, 2017.
A.Sanyal and S. Sur, “Appraising the Impact of Green Knowledge and Green Pressure on MSMEs’ Sustainable Competitive Advantage: A conceptual framework with special reference to 7Ps”, Third Concept-An International Journal of Idea, vol. 36 (432), pp. 158-163, 2023.
K. Nuttavuthisit, and J. Thøgersen, “The importance of consumer trust for the emergence of a market for green products: The case of organic food.” Journal of business ethics, vol. 140, pp. 323-337, 2017.
S. Ghosh, P. Barai, and B. Datta, “Identify customer involvement during organic food purchase through FCB grid.” Journal of International Food & Agribusiness Marketing, vol. 31, no. 3, pp. 237-254, 2019.
C. Symmank, “Extrinsic and intrinsic food product attributes in consumer and sensory research: literature review and quantification of the findings.” Management Review Quarterly, vol. 69, no. 1, pp. 39-74, 2019.
T. Roh, J. Seok, and Y. Kim, “Unveiling ways to reach organic purchase: Green perceived value, perceived knowledge, attitude, subjective norm, and trust.” Journal of Retailing and Consumer Services, vol. 67, 2022.
M. Sadiq, J. Paul and K. Bharti, “Dispositional traits and organic food consumption.” Journal of Cleaner Production, vol. 266, 2020.
M. Sadiq, M. Adil, and J. Paul, “Does social influence turn pessimistic consumers green?.” Business Strategy and the Environment, vol. 30, no. 7, pp. 2937-2950, 2021.
P. Kotler, G. Armstrong, J. Saunders, and V. Wong, “Consumer Behaviour”, 5th edition, USA: Prentice Hall, 2004.
F. Pollak, P. Markovic, J. Vachal, and R. Vavrek, “Analysis of e-Consumer Behavior during the COVID-19 pandemic.” Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge, pp. 95-114, 2022.
G. ElHaffar, F. Durif, and L. Dubé, “Towards closing the attitude-intention-behavior gap in green consumption: A narrative review of the literature and an overview of future research directions.” Journal of cleaner production, vol. 275, 2020.
H. J. Park, and L. M. Lin, “Exploring attitude-behavior gap in sustainable consumption: Comparison of recycled and upcycled fashion products.” Journal of business research, vol. 117, pp. 623-628, 2020.
H. Taherdoost, M. Madanchian, “Multi-criteria decision making (MCDM) methods and concepts.” Encyclopedia, vol. 3, no. 1, pp. 77-87, 2023.
K.T. Atanassov, “Intuitionistic fuzzy sets.” Fuzzy Sets and Systems, vol. 20, no. 1, pp. 87-96. 1986.
L. A. Zadeh, “Fuzzy sets.” Information and control, vol. 8, no. 3, pp. 338-35, 1965.
H. Ren, Y. Gao, and T. Yang, “A novel regret theory-based decision-making method combined with the intuitionistic fuzzy Canberra distance.” Discrete Dynamics in Nature and Society, 2020, pp. 1-9, 2020.
D. Pamučar, Ž. Stević and S. Sremac, “A new model for determining weight coefficients of criteria in mcdm models: Full consistency method (FUCOM)”, Symmetry, vol 10, no 9, p. 393, 2018.
F. Ecer and D. Pamucar, “A novel LOPCOW‐DOBI multi‐criteria sustainability performance assessment methodology: An application in developing country banking sector.” Omega, vol. 112, 2022. https://doi.org/10.1016/j.omega.2022.102690
M. Keshavarz Ghorabaee, E. K. Zavadskas, L. Olfat, and Z. Turskis, Z, “Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS).” Informatica, vol. 26, no. 3, pp. 435-451, 2015.
A.Singh, and P. Verma, “Factors influencing Indian consumers’ actual buying behaviour towards organic food products”, Journal of Cleaner Production, Vol. 167, pp. 473-483, 2017.
J. Paul, and J. Rana, “Consumer behavior and purchase intention for organic food.” Journal of consumer Marketing, vol. 29, no. 6, pp. 412-422, 2012.
H. V. Nguyen, N. Nguyen, B. K. Nguyen, A. Lobo, and P. A. Vu, “Organic food purchases in an emerging market: The influence of consumers’ personal factors and green marketing practices of food stores.” International journal of environmental research and public health, vol. 16, no. 6, 2019.
V. Carfora, C. Cavallo, D. Caso, T. Del Giudice, B. De Devitiis, R. Viscecchia, and G.Cicia, “Explaining consumer purchase behavior for organic milk: Including trust and green self-identity within the theory of planned behavior.” Food Quality and Preference, vol. 76, pp. 1-9, 2019.
N. E. Furlow, “Greenwashing in the new millennium.” The Journal of Applied Business and Economics, vol. 10, no. 6, 2010.
S. M. van Ruth, and L. de Pagter-de Witte, “Integrity of organic foods and their suppliers: Fraud vulnerability across chains.” Foods, vol. 9, no. 2, 2020.
P. Frank, and C. Brock, “Bridging the intention-behavior gap among organic grocery customers: The crucial role of point‐of‐sale information.” Psychology & Marketing, vol. 35, no. 8, pp. 586-602, 2018.
C. Groening, J. Sarkis, and Q. Zhu, “Green marketing consumer-level theory review: A compendium of applied theories and further research directions.” Journal of cleaner production, vol. 172, pp. 1848-1866, 2018.
T. Hansen, M. I. Sørensen, and M. L. R. Eriksen, “How the interplay between consumer motivations and values influences organic food identity and behavior.” Food policy, vol. 74, pp. 39-52, 2018.
S. Guru, S. Thanki, and J. J. Thakkar, “Analysing Factors Driving Purchase and Consumption Behaviour Towards Organic Food.” Vision, 2024. 09722629231225535.
M. Bazhan, F. Shafiei Sabet, and N. Borumandnia, “Factors affecting purchase intention of organic food products: Evidence from a developing nation context.” Food Science & Nutrition, 2024.
M. Y. Bhutto, M. A. Khan, C. Sun, S. Hashim, and H. T. Khan, “Factors affecting repurchase intention of organic food among generation Z (Evidence from developing economy).” Plos one, vol. 18, no. 3, 2023.
A.R. A. Aljanabi, and K. M. Ghafour, “Fuzzy AHP and fuzzy TOPSIS methods of analysing online impulsive buying of organic food: A cognitive-affective decision-making perspective.” Journal of Intelligent & Fuzzy Systems, (Preprint), pp. 1-16, Feb 2024.
M. Jánská, M. Žambochová, and P. Kita, “The influence of Slovak consumer lifestyle on purchasing behaviour in the consumption of organic food.” British Food Journal, vol. 125, no. 8, pp. 3028-3049, 2023.
A.Lombardi, G. Califano, F, Caracciolo, T. Del Giudice, and L. Cembalo, “Eco-packaging in organic foods: rational decisions or emotional influences?.” Organic Agriculture, vol. 1-18, 2023.
J. Wang, Y. Xue, and T. Liu, “Consumer motivation for organic food consumption: Health consciousness or herd mentality.” Frontiers in Public Health, vol. 10, 2023.
R. Nandi, W. Bokelmann, N. V. Gowdru, and G. Dias, “Factors influencing consumers’ willingness to pay for organic fruits and vegetables: Empirical evidence from a consumer survey in India.” Journal of Food Products Marketing, vol. 23, no. 4, pp. 430-451, 2017.
S. Parashar, S. Singh, and G. Sood, “Examining the role of health consciousness, environmental awareness and intention on purchase of organic food: A moderated model of attitude.” Journal of Cleaner Production, vol. 386, 2023.
K. Khan, I. Hameed, U. Akram, and S. K. Hussainy, “Do normative triggers and motivations influence the intention to purchase organic food? An application of the goal-framing theory” British Food Journal, vol. 125, no. 3, pp. 886-906, 2023.
U. Kashif, C. Hong, S. Naseem, W. A. Khan, M. W. Akram, K. U. Rehman, and S. Andleeb, “Assessment of millennial organic food consumption and moderating role of food neophobia in Pakistan.” Current Psychology, vol. 42, no. 2, pp. 1504-1515, 2023.
F.A. Konuk, “The influence of perceived food quality, price fairness, perceived value and satisfaction on customers’ revisit and word-of-mouth intentions towards organic food restaurants.” Journal of Retailing and Consumer Services, vol. 50, pp. 103-110, 2019.
T. H. Pham, T. N. Nguyen, T. T. H. Phan, and N. T. Nguyen, “Evaluating the purchase behaviour of organic food by young consumers in an emerging market economy.” Journal of Strategic Marketing, vol. 27, no. 6, pp. 540-556, 2019.
S. Kushwah, A. Dhir, M. Sagar, and B. Gupta, “Determinants of organic food consumption. A systematic literature review on motives and barriers.” Appetite, vol. 143, Dec 2019.
N. G. Carrión Bósquez, L. G. Arias-Bolzmann, and A. K. Martínez Quiroz, “The influence of price and availability on university millennials’ organic food product purchase intention” British Food Journal, vol.125, no. 2, pp. 536-550, April 2022.
S. Pedersen, T. Zhang, Y. Zhou, J. Aschemann-Witzel, and J. Thøgersen, “Consumer attitudes towards imported organic food in China and Germany: the key importance of trust.” Journal of Macromarketing, vol. 43, no. 2, pp. 233-254, 2023.
N. Alkan, and C. Kahraman, “Continuous intuitionistic fuzzy sets (CINFUS) and their AHP&TOPSIS extension: Research proposals evaluation for grant funding.” Applied Soft Computing, vol. 145, 2023.
X. Wu, H. Tang, Z. Zhu, L. Liu, G. Chen, and M. S. Yang, “Nonlinear strict distance and similarity measures for intuitionistic fuzzy sets with applications to pattern classification and medical diagnosis.” Scientific Reports, vol. 13 no. 1, 2023.
R. Krishankumar, K. S. Ravichandran, M. Aggarwal, and D. Pamucar, “An improved entropy function for the intuitionistic fuzzy sets with application to cloud vendor selection.” Decision Analytics Journal, vol. 7, 2023.
A.Patel, S. Jana, and J. Mahanta, “Construction of similarity measure for intuitionistic fuzzy sets and its application in face recognition and software quality evaluation.” Expert Systems with Applications, 2023.
F. Ecer, “An extended MAIRCA method using intuitionistic fuzzy sets for coronavirus vaccine selection in the age of COVID-19.” Neural Computing and Applications, vol. 34, no. 7, pp. 5603-5623, 2022.
M. Azam, M. S. Ali Khan, and S. Yang, “A decision-making approach for the evaluation of information security management under complex intuitionistic fuzzy set environment.” Journal of Mathematics, pp.1-30, 2022.
T. Alsboui, R. Hill, H. Al-Aqrabi, H.M.A. Farid, M. Riaz, S. Iram, S., ... and M. Hussain, “A dynamic multi-mobile agent itinerary planning approach in wireless sensor networks via intuitionistic fuzzy set”, Sensors, vol 22, no 20, p. 8037, 2022.
R. R. Panda, and N. K. Nagwani, “Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging.” Knowledge and Information Systems, vol. 64, no. 11, pp. 3081-3111, 2022.
N. X. Thao, and S. Y. Chou, “Novel similarity measures, entropy of intuitionistic fuzzy sets and their application in software quality evaluation.” Soft Computing, vol. 26,no. 4, pp. 2009-2020, 2022.
A.Si, S. Das, and S. Kar, “Preferred hospitalization of COVID-19 patients using intuitionistic fuzzy set-based matching approach.” Granular Computing, pp. 1-25, 2022.https://doi.org/10.1007/s41066-022-00339-w
M. Deveci, I.Gokasar, O. Castillo, and T. Daim, “Evaluation of Metaverse integration of freight fluidity measurement alternatives using fuzzy Dombi EDAS model.” Computers & Industrial Engineering, vol. 174, 2022.
V. K. Paul, S. Chakraborty, and S. Chakraborty, “An integrated IRN-BWM-EDAS method for supplier selection in a textile industry.” Decision Making: Applications in Management and Engineering, 5(2), pp. 219-240, 2022.
Y. Su, M. Zhao, G. Wei, C. Wei, and X. Chen,” Probabilistic uncertain linguistic EDAS method based on prospect theory for multiple attribute group decision-making and its application to green finance.”International Journal of Fuzzy Systems, vol. 24, no. 3, pp. 1318-1331, 2022.
F. Lei, G. Wei, W. Shen, and Y. Guo, “PDHL-EDAS method for multiple attribute group decision making and its application to 3D printer selection.” Technological and Economic Development of Economy, vol. 28, no. 1, pp. 179-200, 2022.
R. Mitra, and J. Das, “A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India.” Environmental Science and Pollution Research, vol. 30, no. 6, pp. 16036-16067, 2023.
A.Menekse, A. V. Ertemel, H. Camgoz Akdag, and A. Gorener, “Additive manufacturing process selection for automotive industry using Pythagorean fuzzy CRITIC EDAS.” Plos one, vol. 18, no. 3, 2023.
P. Khazaelpour, S. H. Zolfani, “FUCOM-optimization based predictive maintenance strategy using expert elicitation and Artificial Neural Network.” Expert Systems with Applications, 2023.
R. S. Yadav, S. K. Kaya, A. Pant, and A. Tiwari, “AI-enabled human capital management (HCM) software adoption using full consistency method (FUCOM): evidence from banking industry.” Global Knowledge, Memory and Communication, 2023.
A.Nemati, S. H. Zolfani, and P. Khazaelpour, “A novel gray FUCOM method and its application for better video games experiences.” Expert Systems with Applications, vol. 234, 2023.
S. Chakraborty, B. Sarkar, and S. Chakraborty, “A FUCOM-MABAC-based integrated approach for performance evaluation of the Indian National Parks.” OPSEARCH, vol. 60, no. 1, pp. 125-154, 2023.
M. Andrejić, V. Pajić, and M. Kilibarda, “Distribution Channel Selection Using FUCOM-ADAM: A Novel Approach.” Sustainability, vol. 15, no. 19, 2023.
S. Biswas, A. Sanyal, D. Božanić, A. Puška, and D. Marinković, “Critical Success Factors for 5G Technology Adaptation in Supply Chains.” Sustainability, vol.15, no. 6, 2023. https://doi.org/10.3390/su15065539
T. Everest, G. S. Savaşkan, A. Or, and H. Özcan, “Suitable site selection by using full consistency method (FUCOM): a case study for maize cultivation in northwest Turkey.” Environment, Development and Sustainability, pp. 1-20, 2022.
A.Abdullah, S. Ahmad, M. A. Athar, N. Rajpoot, and F. Talib. “Healthcare performance management using integrated FUCOM‐MARCOS approach: The case of India.” The International Journal of Health Planning and Management, vol. 37, no. 5, pp. 2635-2668, 2022.
A.Saha, A. R. Mishra, P. Rani, I. M. Hezam, and F. Cavallaro, F “A q-rung orthopair fuzzy FUCOM double normalization-based multi-aggregation method for healthcare waste treatment method selection.” Sustainability, vol. 14, no. 7, 2022.
L. Ocampo, “Full consistency method (FUCOM) and weighted sum under fuzzy information for evaluating the sustainability of farm tourism sites.” Soft Computing, vol. 26, no. 22, pp. 12481-12508, 2022.
H. R. Shamsi, M. O. Najafabadi, and S. J. F. Hosseini, “Designing a three-phase pattern of organic product consumption behaviour.” Food Quality and Preference, vol. 79, 2020.
P. S. Kumar, “Algorithms for solving the optimization problems using fuzzy and intuitionistic fuzzy set.” International Journal of System Assurance Engineering and Management, vol. 11, no. 1, pp. 189-222, 2020.
L. Ocampo, R.A. Tanaid, A. M. Tiu, E. Selerio Jr, and K. Yamagishi, “Classifying the degree of exposure of customers to COVID-19 in the restaurant industry: A novel intuitionistic fuzzy set extension of the TOPSIS-Sort.” Applied Soft Computing, vol. 113, 2021.
I.M. Adamu, “Application of intuitionistic fuzzy sets to environmental management.” Notes on Intuitionistic Fuzzy Sets, vol. 27, no. 3, pp. 40-50, 2021
N. Yang, M. Zhang, F. Wangdu, and R. Li, “Identification of critical components of complex product based on hybrid intuitionistic fuzzy set and improved Mahalanobis-Taguchi system.” Journal of Systems Science and Systems Engineering, vol. 30, no. 5, pp. 533-551, 2021.
S. Biswas, “Exploring the Implications of Digital Marketing for Higher Education using Intuitionistic Fuzzy Group Decision Making Approach.” BIMTECH Business Perspective (BSP), vol. 2, no. 1, pp. 33-52, 2021. https://doi.org/10.1177/bsp.2021.2.1.33
I.Serrano-Guerrero, M. Bani-Doumi, F. P. Romero, and J. A. Olivas,(2021, July). “An Algorithm for Ranking Hospitals based on Intuitionistic Fuzzy Sets and Sentiment Analysis. “In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), (pp. 1-6), July 2021.
S. Perçin, “Circular supplier selection using interval-valued intuitionistic fuzzy sets.” Environment, Development and Sustainability, vol. 24, no. 4, pp. 5551-5581, 2022.
S. Goala, D. Prakash, P.Dutta, P. Talukdar, K. D. Verma, and G. Palai, “A decision support system for surveillance of smart cities via a novel aggregation operator on intuitionistic fuzzy sets.” Multimedia Tools and Applications, vol. 81, pp. 22587-22608, 2022. https://doi.org/10.1007/s11042-021-11522-7
S. Liu, “Research on the teaching quality evaluation of physical education with intuitionistic fuzzy TOPSIS method.” Journal of Intelligent & Fuzzy Systems, vol. 40, no. 5, pp. 9227-9236, 2021.
Q. Qi, “Investigation and Analysis of Classroom Teaching Quality in Universities in an Interval Intuitionistic Fuzzy Environment.” Mobile Information Systems, 2022. https://doi.org/10.1155/2022/1950877
X. Zhao, S. Ding, and L. Zuo, “Evaluation of Health Information Literacy of Rural Community Residents Based on Intuitionistic Fuzzy Set Multicriteria.” Mathematical Problems in Engineering, 2022, 2022. https://doi.org/10.1155/2022/8232766
G.Selvachandran, S. G. Quek, P. H. Thong, B. Vo, T. A. A. Hawari, and A. R. Salleh, “Relations and compositions between interval-valued complex fuzzy sets and applications for analysis of customers’ online shopping preferences and behavior.” Applied Soft Computing, vol. 114, 2022.
O.Dogan, O. F. Seymen, and A. Hiziroglu, “Customer Behavior Analysis by Intuitionistic Fuzzy Segmentation: Comparison of Two Major Cities in Turkey.” International Journal of Information Technology & Decision Making, vol. 21, no. 02, pp. 707-727, 2022.
B.Gohain, R. Chutia, and P. Dutta, “A distance measure for optimistic viewpoint of the information in interval-valued intuitionistic fuzzy sets and its applications. Engineering Applications of Artificial Intelligence, vol. 119, 2023.
D.K. Tripathi, S. K. Nigam, P. Rani, and A. R. Shah, “New intuitionistic fuzzy parametric divergence measures and score function-based CoCoSo method for decision-making problems.” Decision Making: Applications in Management and Engineering, vol. 6, no. 1, pp. 535-563, 2023.
Z. Xu, and R. R. Yager, “Some geometric aggregation operators based on intuitionistic fuzzy sets.” International journal of general systems, vol. 35 no. 4, pp. 417-433, 2006.
Z. S. Xu, “Models for multiple attribute decision making with intuitionistic fuzzy information.” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 15, no. 03, pp. 285-297, 2007.
D.H. Hong, and C. H. Choi, “Multicriteria fuzzy decision-making problems based on vague set theory.” Fuzzy Sets and Systems, vol. 114, pp. 103-113, 2000.
H.-W. Liu, and G.-J. Wang, “Multi-criteria decision-making methods based on intuitionistic fuzzy sets.” European Journal of Operational Research, vol. 179 no. 1, pp. 220-233, 2007.
L.Chen, R. Chen, and J. Lin, “A Ranking of Software Reliability Evaluation Based on Intuitionistic Fuzzy Aggregation Technique.” In 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence, pp. 1-8. December 2021.
H. Zhao, Z. S. Xu, M. F. Ni, and S. S. Liu, “Generalized aggregation operators for intuitionistic fuzzy sets. International Journal of Intelligent Systems, vol. 25, pp. 1-30, 2010.
D.Pamucar, M. Žižović, S. Biswas, and D. Božanić, “A new logarithm methodology of additive weights (LMAW) for multi-criteria decision-making: Application in logistics.” Facta Universitatis, Series: Mechanical Engineering, vol. 19, no. 3, pp. 361-380, 2021.
S.Biswas, D. Pamucar, S. Dawn, and V. Simic, “Evaluation based on relative utility and nonlinear standardization (ERUNS) method for comparing firm performance in energy sector.” Decision Making Advances, vol. 2, no. 1, pp. 1-21, 2024.
S. Biswas, D. S. Pamučar, “Combinative distance based assessment (CODAS) framework using logarithmic normalization for multi-criteria decision making.” Serbian Journal of Management, vol. 16, no. 2, pp. 321-340, 2021.
S. Biswas, and D. Pamucar, “A modified EDAS model for comparison of mobile wallet service providers in India.” Financial Innovation, vol.9, no. 1, 2023.
D. Božanić, I. Epler, A. Puška, S. Biswas, D. Marinković and S. Koprivica, “Application of the DIBR II-rough MABAC decision-making model for ranking methods and techniques of lean organization systems management in the process of technical maintenance”, Facta Universitatis, Series: Mechanical Engineering, vol 22, no 1, pp. 101-123, 2024.
L. Marian, P. Chrysochou, A. Krystallis, J. Thøgersen, “The role of price as a product attribute in the organic food context: An exploration based on actual purchase data.” Food quality and preference, vol. 37, pp. 52-60, 2014.
B. Zhang, Z. Fu, J. Huang, J. Wang, S. Xu, and L. Zhang, “Consumers' perceptions, purchase intention, and willingness to pay a premium price for safe vegetables: a case study of Beijing, China.” Journal of cleaner production, vol. 197, pp. 1498-1507, 2018.
A.K. Moser, “Consumers' purchasing decisions regarding environmentally friendly products: An empirical analysis of German consumers.” Journal of Retailing and Consumer Services, vol. 31, pp. 389-397, 2016.
M. P. Martínez, C. P. Cremasco, L. R. A. Gabriel Filho, S. S. B. Junior, A. V. Bednaski, F. Quevedo-Silva, and R. C. M. L. Padgett, “Fuzzy inference system to study the behavior of the green consumer facing the perception of greenwashing.” Journal of Cleaner Production, vol. 242, 2020.
A.Nygaard, “Is sustainable certification's ability to combat greenwashing trustworthy?.” Frontiers in Sustainability, vol. 4, 2023.
K. Kamboj, and N. Kishor, “Influence of customer perceived values on organic food consumption behaviour: Mediating role of green purchase intention.” FIIB Business Review, 2022.
K. Ditlevsen, S. Denver, T. Christensen, and J. Lassen, “A taste for locally produced food-Values, opinions and sociodemographic differences among ‘organic’and ‘conventional’consumers.” Appetite, vol. 147, 2020.
P. Bryła, “Organic food consumption in Poland: Motives and barriers”, Appetite, vol 105, pp. 737-746, 2016.
H. Qasim, L. Yan, R. Guo, A. Saeed, and B. N. Ashraf, “The defining role of environmental self-identity among consumption values and behavioral intention to consume organic food.” International Journal of Environmental Research and Public Health, vol. 16, no. 7, 2019.
S. Phulara, A. Kumar, M. Narang, and K. Bisht, “A novel hybrid grey-BCM approach in multi-criteria decision making: An application in OTT platform.” Journal of Decision Analytics and Intelligent Computing, vol. 4, no. 1, pp. 1-15, 2024.
M. Radovanović, A. Petrovski, E. Cirkin, A. Behlić, Ž. Jokić, D. Chemezov, and C. Jana, “Application of the new hybrid model LMAW-G-EDAS multi-criteria decision-making when choosing an assault rifle for the needs of the army.” Journal of Decision Analytics and Intelligent Computing, vol. 4, no. 1, pp. 16-31, 2024.
Badi, M. B. Bouraima, Y. Qiu, and Ž. Stević, “Optimizing Priority Sequencing Rules in Parallel Machine Scheduling: An Evaluation and Selection Approach using Hybrid MCDM Techniques.” Decision Making Advances, vol. 2, no. 1, pp. 22-31, 2024.
C. Işık, M. Türkkan, S. Marbou, and S. Gül, “Stock Market Performance Evaluation of Listed Food and Beverage Companies in Istanbul Stock Exchange with MCDM Methods.” Decision Making: Applications in Management and Engineering, vol. 7, no. 2, pp. 35-64, 2024.
A.Das, T. Chaudhuri, S. S. Roy, S. Biswas, and B. Guha, “Selection of appropriate portfolio optimization strategy.” Theoretical and Applied Computational Intelligence, vol. 1, no. 1, pp. 58-81, 2023.
J. Obbineni, I. Kandasamy, W. B. Vasantha, and F. Smarandache, “Combining SWOT analysis and neutrosophic cognitive maps for multi-criteria decision making: a case study of organic agriculture in India.” Soft Computing, vol. 27, no. 23, vol. 18311-18332, 2023.
D. Pamucar, A. E. Torkayesh, and S. Biswas, “Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach.” Annals of Operations Research, vol. 328, no. 1, pp. 977-1019, 2023.
O. Mishra, and P. Ayatham, “Online retailers connecting to the youth segment through Facebook (A study on the influence of gender and personality type).” Journal of Asia Business Studies, vol. 11 no. 4, pp. 387-412, 2017.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) YUJOR

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.