Consumers’ Purchase Intention of Suboptimal Food Using Behavioral Reasoning Theory: A Food Waste Reduction Strategy
Abstract
:1. Introduction
2. Theoretical Background and Hypotheses Development
2.1. Behavioral Reasoning Theory (BRT)
2.2. Suboptimal Food and Consumer Purchase Intention
2.3. Factors Influencing the Suboptimal Food Purchase Intention
2.3.1. Attitude
2.3.2. Reasons For
2.3.3. Reasons Against
2.3.4. Value
2.3.5. The Mediating Role of Attitude and Reasons
3. Research Methods
3.1. Questionnaire Development
3.2. Sample and Data Collection
3.3. Data Analysis
4. Data Analysis and Results
4.1. Measurement Model
4.1.1. First-Order Reflective Constructs
4.1.2. Second-Order Reflective Constructs
4.2. Structural Model
5. Discussion
5.1. Theoretical Contribution
5.2. Managerial implications
5.3. Conclusions and Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
- Global Food Waste Report Statistics. 2022. Available online: https://www.fsinplatform.org/sites/default/files/resources/files/GRFC%202022%20Final%20Report.pdf (accessed on 22 February 2022).
- Cao, Y.; Miao, L. Consumer responses to suboptimal food products. Appetite 2021, 163, 105205. [Google Scholar] [CrossRef] [PubMed]
- Hartmann, T.; Jahnke, B.; Hamm, U. Making ugly food beautiful: Consumer barriers to purchase and marketing options for Suboptimal Food at retail level–A systematic review. Food Qual. Prefer. 2021, 90, 104179. [Google Scholar] [CrossRef]
- Giménez, A.; Aschemann-Witzel, J.; Ares, G. Exploring barriers to consuming suboptimal foods: A consumer perspective. Food Res. Int. 2021, 141, 110106. [Google Scholar] [CrossRef]
- Yang, C.; Chen, X. Factors Affecting Consumers’ Purchasing of Suboptimal Foods during the COVID-19 Pandemic. Agriculture 2022, 12, 99. [Google Scholar] [CrossRef]
- Adel, A.M.; Dai, X.; Roshdy, R.S. Investigating consumers’ behavioral intentions toward suboptimal produce: An extended theory of planned behavior–a cross-cultural study. Br. Food J. 2022, 124, 99–139. [Google Scholar] [CrossRef]
- Xu, Y.; Jeong, E.; Jang, S.S.; Shao, X. Would you bring home ugly produce? Motivators and demotivators for ugly food consumption. J. Retail. Consum. Serv. 2021, 59, 102376. [Google Scholar] [CrossRef]
- The Dawn Newspaper Published 16 December 2021. Available online: https://www.dawn.com/news/1664000 (accessed on 15 January 2022).
- Sharma, R.; Dhir, A.; Talwar, S.; Kaur, P. Over-ordering and food waste: The use of food delivery apps during a pandemic. Int. J. Hosp. Manag. 2021, 96, 102977. [Google Scholar] [CrossRef]
- Talwar, S.; Kaur, P.; Yadav, R.; Sharma, R.; Dhir, A. Food waste and out-of-home-dining: Antecedents and consequents of the decision to take away leftovers after dining at restaurants. J. Sustain. Tour. 2021, 1–26. [Google Scholar] [CrossRef]
- Nyyen, N.P.T.; Dang, H.D. Organic food purchase decisions from a context-based behavioral reasoning approach. Appetite 2022, 173, 105975. [Google Scholar] [CrossRef]
- Kumar, S.; Talwar, S.; Murphy, M.; Kaur, P.; Dhir, A. A behavioural reasoning perspective on the consumption of local food. A study on REKO, a social media-based local food distribution system. Food Qual. Prefer. 2021, 93, 104264. [Google Scholar] [CrossRef]
- Rahnama, H.; Leszczyc, P.T.P. The effect of fixed and growth mindsets on buying sustainable foods. British Food J. 2022. [Google Scholar] [CrossRef]
- Wang, J.; Shen, M.; Chu, M. Why is green consumption easier said than done? Exploring the green consumption attitude-intention gap in China with Behavioral Reasoning Theory. Clean. Responsib. Consum. 2021, 2, 100015. [Google Scholar] [CrossRef]
- Ramzan, S.; Liu, C.; Munir, H.; Xu, Y. Assessing young consumers’ awareness and participation in sustainable e-waste management practices: A survey study in Northwest China. Environ. Sci. Pollut. Res. 2019, 26, 20003–20013. [Google Scholar] [CrossRef] [PubMed]
- Ramzan, S.; Liu, C.; Xu, Y.; Munir, H.; Gupta, B. The adoption of online e-waste collection platform to improve environmental sustainability: An empirical study of Chinese millennials. Manag. Environ. Qual. 2021, 32, 193–209. [Google Scholar] [CrossRef]
- Becker, J.M.; Klein, K.; Wetzels, M. Hierarchical latent variable models in PLS-SEM: Guidelines for using reflective-formative type models. Long Range Plan. 2012, 45, 359–394. [Google Scholar] [CrossRef]
- Wong, S.-L.; Hsu, C.-C.; Chen, H.-S. To buy or not to buy? Consumer attitudes and purchase intentions for suboptimal food. Int. J. Environ. Res. Public Health 2018, 15, 1431. [Google Scholar] [CrossRef] [Green Version]
- Jang, H.W.; Cho, M. The relationship between ugly food value and consumers’ behavioral intentions: Application of the Theory of Reasoned Action. J. Hosp. Tour. Manag. 2022, 50, 259–266. [Google Scholar] [CrossRef]
- Yassin, C.A.; Soares, A.M. Buy now before it expires: A study of expiration date-based pricing. Int. J. Retail. Distrib. Manag. 2020, 49, 514–530. [Google Scholar] [CrossRef]
- Westaby, J.D. Behavioral Reasoning Theory: Identifying new linkages underlying intentions and behavior. Organ. Behav. Hum. Decis. Process. 2005, 98, 97–120. [Google Scholar] [CrossRef]
- Aschemann-Witzel, J.; Otterbring, T.; de Hooge, I.E.; Normann, A.; Rohm, H.; Almli, V.L.; Oostindjer, M. The who, where and why of choosing suboptimal foods: Consequences for tackling food waste in store. J. Clean. Prod. 2019, 236, 117596. [Google Scholar] [CrossRef]
- De Hooge, I.E.; Oostindjer, M.; Aschemann-Witzel, J.; Normann, A.; Loose, S.M.; Almli, V.L. This apple is too ugly for me!: Consumer preferences for suboptimal food products in the supermarket and at home. Food Qual. Prefer. 2017, 56, 80–92. [Google Scholar] [CrossRef]
- Shao, X.; Jeong, E.; Jang, S.S.; Xu, Y. Potato Head fights food waste: The effect of anthropomorphism in promoting ugly food. Int. J. Hosp. Manag. 2020, 89, 102521. [Google Scholar] [CrossRef]
- Makhal, A.; Robertson, K.; Thyne, M.; Mirosa, M. Normalizing the “ugly” to reduce food waste: Exploring the socialisations that form appearance preferences for fresh fruits and vegetables. J. Consum. Behav. 2020, 20, 1025–1039. [Google Scholar] [CrossRef]
- Tandon, A.; Dhir, A.; Kaur, P.; Kushwah, S.; Salo, J. Behavioral reasoning perspectives on organic food purchase. Appetite 2020, 154, 104786. [Google Scholar] [CrossRef]
- Kim, M.J.; Hall, C.M.; Kim, D.K. Predicting environmentally friendly eating out behavior by value-attitude-behavior theory: Does being vegetarian reduce food waste? J. Sustain. Tour. 2020, 28, 797–815. [Google Scholar] [CrossRef]
- Tufail, H.S.; Yaqub, R.M.S.; Ramzan, S.; Baig, F.J. To buy or not to buy? consumers’ purchase intention toward suboptimal food in Pakistan. Bull. Bus. Econ. 2022, 11, 93–103. [Google Scholar]
- Mazhar, W.; Jalees, T.; Asim, M.; Alam, S.H.; Zaman, S.I. Psychological consumer behavior and sustainable green food purchase. Asia Pac. J. Mark. Logist. 2022. [Google Scholar] [CrossRef]
- Le, M.H.; Nguyen, P.M. Integrating the Theory of Planned Behavior and the Norm Activation Model to Investigate Organic Food Purchase Intention: Evidence from Vietnam. Sustainability 2022, 14, 816. [Google Scholar] [CrossRef]
- Dhir, A.; Koshta, N.; Goyal, R.K.; Sakashita, M.; Almotairi, M. Behavioral Reasoning Theory (BRT) perspectives on E-waste recycling and management. J.Clean. Prod. 2021, 280, 124269. [Google Scholar] [CrossRef]
- Lichtenstein, D.R.; Ridgway, N.M.; Netemeyer, R.G. Price perceptions and consumer shopping behavior: A field study. J. Mark. Res. 1993, 30, 234–245. [Google Scholar] [CrossRef]
- Tsalis, G. What’s the deal? Consumer price involvement and the intention to purchase suboptimal foods. A cross-national study. Food Qual. Prefer. 2020, 79, 103747. [Google Scholar] [CrossRef]
- Stöckli, S.; Dorn, M. Awareness, intention, and behavior: Three empirical perspectives on predicting the purchase of abnormally shaped fruits and vegetables. Resour. Conserv. Recycl. 2021, 168, 105431. [Google Scholar] [CrossRef]
- Huang, W.-S.; Kuo, H.-Y.; Tung, S.-Y.; Chen, H.-S. Assessing Consumer Preferences for Suboptimal Food: Application of a Choice Experiment in Citrus Fruit Retail. Foods 2021, 10, 15. [Google Scholar] [CrossRef] [PubMed]
- Ahmed, N.; Li, C.; Khan, A.; Qalati, S.A.; Naz, S.; Rana, F. Purchase intention toward organic food among young consumers using theory of planned behavior: Role of environmental concerns and environmental awareness. J. Environ. Plan. Manag. 2021, 64, 796–822. [Google Scholar] [CrossRef]
- Do Carmo Stangherlin, I.; de Barcellos, M.D.; Basso, K. The impact of social norms on suboptimal food consumption: A solution for food waste. J. Int. Food Agribus. Mark. 2020, 32, 30–53. [Google Scholar] [CrossRef]
- Aschemann-Witzel, J.; Giménez, A.; Ares, G. Consumer in-store choice of suboptimal food to avoid food waste: The role of food category, communication and perception of quality dimensions. Food Qual. Prefer. 2018, 68, 29–39. [Google Scholar] [CrossRef]
- Bolos, L.A.; Lagerkvist, C.J.; Normann, A.; Wendin, K. In the eye of the beholder: Expected and actual liking for apples with visual imperfections. Food Qual. Prefer. 2021, 87, 104065. [Google Scholar] [CrossRef]
- Kyriacou, M.C.; Rouphael, Y. Towards a new definition of quality for fresh fruits and vegetables. Sci. Hortic. 2018, 234, 463–469. [Google Scholar] [CrossRef]
- Arvola, A.; Vassallo, M.; Dean, M.; Lampila, P.; Saba, A.; Lähteenmäki, L.; Shepherd, R. Predicting intentions to purchase organic food: The role of affective and moral attitudes in the Theory of Planned Behaviour. Appetite 2008, 50, 443–454. [Google Scholar] [CrossRef]
- Jaeger, S.R.; Machín, L.; Aschemann-Witzel, J.; Antúnez, L.; Harker, F.R.; Ares, G. Buy, eat or discard? A case study with apples to explore fruit quality perception and food waste. Food Qual. Prefer. 2018, 69, 10–20. [Google Scholar] [CrossRef]
- Furst, T.; Connors, M.; Bisogni, C.A.; Sobal, J.; Falk, L.W. Food choice: A conceptual model of the process. Appetite 1996, 26, 247–266. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Qi, D.; Penn, J.; Li, R.; Roe, B.E. Winning ugly: Profit maximizing marketing strategies for ugly foods. J. Retail. Consum. Serv. 2022, 64, 102834. [Google Scholar] [CrossRef]
- Sahu, A.K.; Padhy, R.; Dhir, A. Envisioning the future of behavioral decision-making: A systematic literature review of Behavioral Reasoning Theory. Australas. Mark. J. 2020, 28, 145–159. [Google Scholar] [CrossRef]
- Ghali-Zinoubi, Z. Effects of organic food perceived values on consumers’ attitude and behavior in developing country: Moderating role of price sensitivity. Pak. J. Agric. Sci. 2021, 58, 779–788. [Google Scholar]
- Katt, F.; Meixner, O. Food waste prevention behavior in the context of hedonic and utilitarian shopping value. J. Clean. Prod. 2020, 273, 122878. [Google Scholar] [CrossRef]
- Ghali, Z.Z. Effect of utilitarian and hedonic values on consumer willingness to buy and to pay for organic olive oil in Tunisia. Br. Food J. 2020, 122, 1013–1026. [Google Scholar] [CrossRef]
- Ryan, J.; Casidy, R. The role of brand reputation in organic food consumption: A behavioral reasoning perspective. J. Retail. Consum. Serv. 2018, 41, 239–247. [Google Scholar] [CrossRef]
- Claudy, M.C.; Garcia, R.; O’Driscoll, A. Consumer resistance to innovation—A behavioral reasoning perspective. J. Acad. Mark. Sci. 2015, 43, 528–544. [Google Scholar] [CrossRef]
- Yeh, S.S.; Guan, X.; Chiang, T.Y.; Ho, J.L.; Huan, T.C.T. Reinterpreting the theory of planned behavior and its application to green hotel consumption intention. Int. J. Hosp. Manag. 2021, 94, 102827. [Google Scholar] [CrossRef]
- An, D.; Ji, S.; Jan, I.U. Investigating the determinants and barriers of purchase intention of innovative new products. Sustainability 2021, 13, 740. [Google Scholar] [CrossRef]
- Claudy, M.C.; Peterson, M. Understanding the underutilization of urban bicycle commuting: A behavioral reasoning perspective. J. Public Policy Mark. 2014, 33, 173–187. [Google Scholar] [CrossRef]
- Ajzen, I. Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior 1. J. Appl. Soc. Psychol. 2002, 32, 665–683. [Google Scholar] [CrossRef]
- Roberts, J.A.; Bacon, D.R. Exploring the subtle relationships between environmental concern and ecologically conscious consumer behavior. J. Bus. Res. 1997, 40, 79–89. [Google Scholar] [CrossRef]
- Hutchings, J.B. The importance of visual appearance of foods to the food processor and the consumer. J. Food Qual. 1977, 1, 267–278. [Google Scholar] [CrossRef]
- Lockie, S.; Lyons, K.; Lawrence, G.; Grice, J. Choosing organics: A path analysis of factors underlying the selection of organic food among Australian consumers. Appetite 2004, 43, 135–146. [Google Scholar] [CrossRef]
- Ryu, K.; Han, H.; Jang, S.S. Relationships among hedonic and utilitarian values, satisfaction and behavioral intentions in the fast-casual restaurant industry. Int. J. Contemp. Hosp. Manag. 2010, 22, 416–432. [Google Scholar] [CrossRef]
- Reynolds, N.L.; Simintiras, A.C.; Diamantopoulos, A. Theoretical justification of sampling choices in international marketing research: Key issues and guidelines for researchers. J. Int. Bus. Stud. 2003, 34, 80–89. [Google Scholar] [CrossRef]
- Hair, J.F.; Hult, G.T.M.; Ringle, C.; Sarstedt, M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed.; Sage Publications: Los Angeles, CA, USA, 2017. [Google Scholar]
- Fornell, C.; Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
- Pasca, P.; De Simone, E.; Ciavolino, E.; Rochira, A.; Mannarini, T. A higher-order model of community resilience potential: Development and assessment through confirmatory composite analysis based on partial least squares. Qual. Quant. 2022, 1–22. [Google Scholar] [CrossRef]
- Cao, S.; Gong, S.; Bai, L. Situational variables that affect consumers’ suboptimal food purchasing behavior in China. Br. Food J. 2022. [Google Scholar] [CrossRef]
Variable | Category | Frequency | Percentage |
---|---|---|---|
Gender | Male Female | 422 228 | 64.9 35.1 |
Age | 20–30 years 31–40 years 41–50 years 51–60 years More than 60 years | 343 169 96 32 10 | 52.8 26.0 14.8 4.9 1.5 |
Marital Status | Married Unmarried | 339 311 | 52.2 47.8 |
Education | Intermediate Undergraduate Graduate Postgraduate Professional | 35 184 221 169 41 | 5.4 28.3 34.0 26.0 6.3 |
Occupation | Govt. Employee Private Employee Self-Employed Other | 156 148 143 203 | 24.0 22.8 22.0 31.2 |
Household income monthly (PKR) | Less or equal to 20,000 20,001–50,000 50,001–100,000 100,001–200,000 Above 200,000 | 54 176 150 107 163 | 8.3 27.1 23.1 16.5 25.1 |
Household size | Small (1–3 members) Medium (4–5 members) Large (above 6 members) | 81 318 251 | 12.5 48.9 38.6 |
First-Order Construct | Second-Order Construct | Item | Outer Loading | α | CR | AVE |
---|---|---|---|---|---|---|
Attitude | ATT1 | 0.918 | 0.951 | 0.964 | 0.872 | |
ATT2 | 0.950 | |||||
ATT3 | 0.934 | |||||
ATT4 | 0.933 | |||||
Purchase Intention (PI) | PI1 | 0.944 | 0.962 | 0.972 | 0.897 | |
PI2 | 0.950 | |||||
PI3 | 0.953 | |||||
PI4 | 0.941 | |||||
Environmental Concerns (EC) | Reason for | EC1 | 0.831 | 0.882 | 0.919 | 0.738 |
EC2 | 0.892 | |||||
EC3 | 0.872 | |||||
EC4 | 0.841 | |||||
Price Consciousness (PC) | PC1 | 0.830 | 0.899 | 0.930 | 0.768 | |
PC2 | 0.892 | |||||
PC3 | 0.899 | |||||
PC4 | 0.882 | |||||
Quality Inferior (QI) | Reason against | QI1 | 0.930 | 0.930 | 0.955 | 0.877 |
QI2 | 0.946 | |||||
QI3 | 0.934 | |||||
Unappealing Appearance (UA) | UA1 | 0.865 | 0.903 | 0.938 | 0.835 | |
UA2 | 0.942 | |||||
UA3 | 0.932 | |||||
Hedonic Value (HV) | Values | HV1 | 0.937 | 0.972 | 0.977 | 0.876 |
HV2 | 0.928 | |||||
HV3 | 0.941 | |||||
HV4 | 0.919 | |||||
HV5 | 0.950 | |||||
HV6 | 0.940 | |||||
Utilitarian Value (UV) | UV1 | 0.866 | 0.911 | 0.937 | 0.789 | |
UV2 | 0.882 | |||||
UV3 | 0.900 | |||||
UV4 | 0.905 |
Attitude | EC | HV | Intention | PC | QI | UA | UV | |
---|---|---|---|---|---|---|---|---|
Attitude | 0.934 | |||||||
EC | 0.359 | 0.859 | ||||||
HV | 0.782 | 0.302 | 0.936 | |||||
Intention | 0.813 | 0.288 | 0.735 | 0.947 | ||||
PC | 0.487 | 0.617 | 0.446 | 0.445 | 0.876 | |||
QI | −0.390 | −0.102 | −0.392 | −0.410 | −0.117 | 0.936 | ||
UA | −0.286 | −0.052 | −0.285 | −0.323 | −0.047 | 0.742 | 0.914 | |
UV | 0.698 | 0.316 | 0.841 | 0.669 | 0.453 | −0.296 | −0.178 | 0.888 |
α | CR | AVE | |
---|---|---|---|
Reason against | 0.852 | 0.930 | 0.869 |
Reason for | 0.763 | 0.891 | 0.804 |
Values | 0.914 | 0.958 | 0.920 |
Attitude | Intention | Reason against | Reason for | Values | |
---|---|---|---|---|---|
Attitude | 0.934 | ||||
Intention | 0.813 | 0.947 | |||
Reason against | −0.370 | −0.399 | 0.932 | ||
Reason for | 0.482 | 0.422 | −0.100 | 0.896 | |
Values | 0.774 | 0.734 | −0.333 | 0.452 | 0.959 |
Paths | Path Coefficients | Std. Errors | t-Value | Decision | f2 |
---|---|---|---|---|---|
H1: Attitude → Intention | 0.745 | 0.026 | 28.30 *** | Supported | 1.132 |
H2: Reason for → Intention | 0.051 | 0.028 | 1.842 * | Supported | 0.006 |
H3: Reason for → Attitude | 0.174 | 0.032 | 5.421 *** | Supported | 0.066 |
H4: Reason against → Intention | −0.118 | 0.025 | 4.811 *** | Supported | 0.037 |
H5: Reason against → Attitude | −0.136 | 0.026 | 5.173 *** | Supported | 0.045 |
H6: Value → Reason for | 0.452 | 0.036 | 12.42 *** | Supported | 0.257 |
H7: Value → Reason against | −0.333 | 0.041 | 8.144 *** | Supported | 0.125 |
H8: Value → Attitude | 0.649 | 0.031 | 20.83 *** | Supported | 0.826 |
Paths | Effect | Std. Errors | p-Value | Mediation Type |
---|---|---|---|---|
H9a: Values → Reason against → Attitude | 0.045 | 0.011 | 0.000 | Complete mediation |
H9b: Values → Reason for → Attitude | 0.079 | 0.017 | 0.000 | Complete mediation |
H10a: Reason against → Attitude → Intention | −0.102 | 0.020 | 0.000 | Complete mediation |
H10b: Reason for → Attitude → Intention | 0.130 | 0.024 | 0.000 | Complete mediation |
Paths | Β | p-Value |
---|---|---|
Reason against → Intention | −0.102 | 0.000 |
Reason for → Intention | 0.130 | 0.000 |
Values → Attitude | 0.124 | 0.000 |
Values → Intention | 0.639 | 0.000 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Tufail, H.S.; Yaqub, R.M.S.; Alsuhaibani, A.M.; Ramzan, S.; Shahid, A.U.; S. Refat, M. Consumers’ Purchase Intention of Suboptimal Food Using Behavioral Reasoning Theory: A Food Waste Reduction Strategy. Sustainability 2022, 14, 8905. https://doi.org/10.3390/su14148905
Tufail HS, Yaqub RMS, Alsuhaibani AM, Ramzan S, Shahid AU, S. Refat M. Consumers’ Purchase Intention of Suboptimal Food Using Behavioral Reasoning Theory: A Food Waste Reduction Strategy. Sustainability. 2022; 14(14):8905. https://doi.org/10.3390/su14148905
Chicago/Turabian StyleTufail, Hafiza Sobia, Rana Muhammad Shahid Yaqub, Amnah Mohammed Alsuhaibani, Sidra Ramzan, Ahmad Usman Shahid, and Moamen S. Refat. 2022. "Consumers’ Purchase Intention of Suboptimal Food Using Behavioral Reasoning Theory: A Food Waste Reduction Strategy" Sustainability 14, no. 14: 8905. https://doi.org/10.3390/su14148905
APA StyleTufail, H. S., Yaqub, R. M. S., Alsuhaibani, A. M., Ramzan, S., Shahid, A. U., & S. Refat, M. (2022). Consumers’ Purchase Intention of Suboptimal Food Using Behavioral Reasoning Theory: A Food Waste Reduction Strategy. Sustainability, 14(14), 8905. https://doi.org/10.3390/su14148905