Analysis of Association between the Consumer Food Quality Perception and Acceptance of Enhanced Meat Products and Novel Packaging in a Population-Based Sample of Polish Consumers
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Participants
2.2. Assessment of Consumers’ Acceptance of Enhanced Animal-Derived Food Products and Novel Packaging
- -
- The association between the perceived quality determinants of food products of animal origin and the level of acceptance of the quality improvement methods (hypothesis: perceived quality determinants can influence the acceptance of the quality improvement methods);
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- The association between the known methods of quality improvement applied for the products of animal origin and the level of acceptance of these methods (hypothesis: the known quality improvement methods are more accepted).
2.3. Statistical Analysis
3. Results
3.1. Acceptance of Enhancement of Animal-Derived Food Products as a Quality Improvement Method
3.2. Acceptance of the Application of Novel Packaging for Animal-Derived Food Products as the Quality Improvement Method
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
- Wolk, A. Potential health hazards of eating red meat. J. Intern. Med. 2017, 281, 106–122. [Google Scholar] [CrossRef] [PubMed]
- Font-I-Furnols, M.; Guerrero, L. Consumer preference, behavior and perception about meat and meat products: An overview. Meat Sci. 2014, 98, 361–371. [Google Scholar] [CrossRef]
- Grunert, K.G. Food quality and safety: Consumer perception and demand. Eur. Rev. Agric. Econ. 2005, 32, 369–391. [Google Scholar] [CrossRef]
- Grunert, K.G. Future trends and consumer lifestyles with regard to meat consumption. Meat Sci. 2006, 74, 149–160. [Google Scholar] [CrossRef] [PubMed]
- De Groeve, B.; Bleys, B. Less Meat Initiatives at Ghent University: Assessing the Support among Students and How to Increase It. Sustainability 2017, 9, 1550. [Google Scholar] [CrossRef] [Green Version]
- De Bakker, E.; Dagevos, H. Reducing Meat Consumption in Today’s Consumer Society: Questioning the Citizen-Consumer Gap. J. Agric. Environ. Ethics 2011, 25, 877–894. [Google Scholar] [CrossRef] [Green Version]
- WHO; World Health Organization–Food and Agriculture Organization of the United Nations. Diet, Nutrition, and the Prevention of Chronic Diseases: Report of a Joint WHO/FAO Expert Consultation; WHO Technical Report Series no. 916; World Health Organization: Geneva, Switzerland, 2003. [Google Scholar]
- Westhoek, H.; Lesschen, J.P.; Rood, T.; Wagner, S.; De Marco, A.; Murphy-Bokern, D.; Leip, A.; Van Grinsven, H.; Sutton, M.A.; Oenema, O. Food choices, health and environment: Effects of cutting Europe’s meat and dairy intake. Glob. Environ. Chang. 2014, 26, 196–205. [Google Scholar] [CrossRef] [Green Version]
- Aston, L.M.; Smith, J.N.; Powles, J.W. Impact of a reduced red and processed meat dietary pattern on disease risks and greenhouse gas emissions in the UK: A modelling study. BMJ Open 2012, 2, e001072. [Google Scholar] [CrossRef] [Green Version]
- De Boer, J.; Schösler, H.; Aiking, H. “Meatless days” or “less but better”? Exploring strategies to adapt Western meat consumption to health and sustainability challenges. Appetite 2014, 76, 120–128. [Google Scholar] [CrossRef]
- MacDiarmid, J.I.; Douglas, F.; Campbell, J. Eating like there’s no tomorrow: Public awareness of the environmental impact of food and reluctance to eat less meat as part of a sustainable diet. Appetite 2016, 96, 487–493. [Google Scholar] [CrossRef]
- Aiking, H. Protein production: Planet, profit, plus people? Am. J. Clin. Nutr. 2014, 100, 483S–489S. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Decker, E.A.; Park, Y. Healthier meat products as functional foods. Meat Sci. 2010, 86, 49–55. [Google Scholar] [CrossRef] [PubMed]
- Roberfroid, M.B. An European consensus of scientific concepts of functional foods. Nutrition 2000, 16, 689–691. [Google Scholar] [CrossRef]
- Hathwar, S.C.; Rai, A.K.; Modi, V.K.; Narayan, B. Characteristics and consumer acceptance of healthier meat and meat product formulations—A review. J. Food Sci. Technol. 2011, 49, 653–664. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Olewnik-Mikołajewska, A.; Guzek, D.; Głąbska, D.; Gutkowska, K. Consumer Behaviors Toward Novel Functional and Convenient Meat Products in Poland. J. Sens. Stud. 2016, 31, 193–205. [Google Scholar] [CrossRef]
- Olewnik-Mikołajewska, A.; Guzek, D.; Głąbska, D.; Sajdakowska, M.; Gutkowska, K. Fodder enrichment and sustaining animal well-being as methods of improving quality of animal-derived food products, in the aspect of consumer perception and acceptance. Anim. Sci. Pap. Rep. 2016, 4, 361–372. [Google Scholar]
- Glitsh, K. Consumer perceptions of fresh meat quality: Cross-national comparison. Br. Food J. 2000, 102, 177–194. [Google Scholar] [CrossRef]
- Lee, H.K. Consumers’ awareness of food additives. Safe Food 2012, 7, 21–25. [Google Scholar]
- EU Commission. Regulation (EC) No 1331/2008 of the European Parliament and of the Council of 16 December 2008 establishing a common authorisation procedure for food additives, food enzymes and food flavourings. Off. J. Eur. Communities L 2008, 354, 1–6. [Google Scholar]
- Grunert, K.G.; Skytte, H.; Esbjerg, L.; Poulsen, C.S.; Hviid, M. Dokumenteret Kødkvalitet; MAPP Project Paper No. 2-02; Aarhus School of Business: Aarhus, Denmark, 2002. [Google Scholar]
- Kaptan, B.; Kayisoglu, S. Consumers’ attitude towards food additives. Am. J. Food Sci. Nutr. Res. 2015, 2, 21–25. [Google Scholar]
- Guzek, D.; Głąbska, D.; Głąbski, K.; Wierzbicka, A. Influence of Duroc breed inclusion into Polish Landrace maternal line on pork meat quality traits. An. Acad. Bras. Cienc. 2016, 88, 1079–1088. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Guzek, D.; Głąbska, D.; Sakowska, A.; Wierzbicka, A. Colour of pork loin produced of meat of animals fed with bioactive compounds forage. Pesq. Agropec. Bras. 2012, 47, 1504–1510. [Google Scholar] [CrossRef] [Green Version]
- Brodowska, M.; Guzek, D.; Kołota, A.; Głąbska, D.; Górska-Horczyczak, E.; Wojtasik-Kalinowska, I.; Wierzbicka, A. The effect of diet on oxidation and profile of volatile compounds of pork after freezing storage. J. Food Nutr. Res. 2016, 55, 40–47. [Google Scholar]
- O’Grady, M.; Kerry, J.P. Smart packaging technologies and their application in conventional met packaging systems. In Meat Biotechnology; Toldra, F., Ed.; Springer Science and Business Media: New York, NY, USA, 2008; pp. 425–451. [Google Scholar]
- Aday, M.S.; Yener, U. Assessing consumers’ adoption of active and intelligent packaging. Br. Food J. 2015, 117, 157–177. [Google Scholar] [CrossRef]
- Chulayo, A.Y.; Bradley, G.; Muchenje, V. Effects of transport distance, lairage time and stunning efficiency on cortisol, glucose, HSPA1A and how they relate with meat quality in cattle. Meat Sci. 2016, 117, 89–96. [Google Scholar] [CrossRef]
- The Statistics Poland December. Available online: https://stat.gov.pl/obszary-tematyczne/roczniki-statystyczne/roczniki-statystyczne/rocznik-statystyczny-rzeczypospolitej-polskiej-2016,2,16.html (accessed on 19 September 2020).
- Meyer, N.L.; Reguant-Closa, A. “Eat as If You Could Save the Planet and Win!” Sustainability Integration into Nutrition for Exercise and Sport. Nutrients 2017, 9, 412. [Google Scholar] [CrossRef] [Green Version]
- Guzek, D.; Głąbska, D.; Gutkowska, K.; Woźniak, A.; Wierzbicki, J.; Wierzbicka, A. Influence of cut and thermal treatment on consumer perception of beef in Polish trials. Pak. J. Agric. Sci. 2015, 78, 533–538. [Google Scholar]
- Bearth, A.; Cousin, M.-E.; Siegrist, M. The consumer’s perception of artificial food additives: Influences on acceptance, risk and benefit perceptions. Food Qual. Prefer. 2014, 38, 14–23. [Google Scholar] [CrossRef]
- Marcontell, D.K.; Laster, A.E.; Johnson, J. Cognitive-behavioral treatment of food neophobia in adults. J. Anxiety Disord. 2003, 17, 341–349. [Google Scholar] [CrossRef]
- Bearth, A.; Cousin, M.-E.; Siegrist, M. “The Dose Makes the Poison”: Informing Consumers About the Scientific Risk Assessment of Food Additives. Risk Anal. 2016, 36, 130–144. [Google Scholar] [CrossRef]
- Devcich, D.A.; Pedersen, I.K.; Petrie, K.J. You eat what you are: Modern health worries and the acceptance of natural and synthetic additives in functional foods. Appetite 2007, 48, 333–337. [Google Scholar] [CrossRef]
- Grebitus, C.; Jensen, H.H.; Roosen, J.; Sebranek, J.G. Fresh Meat Packaging: Consumer Acceptance of Modified Atmosphere Packaging including Carbon Monoxide. J. Food Prot. 2013, 76, 99–107. [Google Scholar] [CrossRef]
- Gray, Z.D.; Haefner, J.E.; Rosenbloom, A. The role of global brand familiarity, trust and liking in predicting global brand purchase intent: A Hungarianâ American comparison. Int. J. Bus. Emerg. Mark. 2012, 4, 4. [Google Scholar] [CrossRef]
- Giles, E.L.; Kuznesof, S.; Clark, B.; Hubbard, C.; Frewer, L.J. Consumer acceptance of and willingness to pay for food nanotechnology: A systematic review. J. Nanopart. Res. 2015, 17, 1–26. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Sakowska, A.; Guzek, D.; Głąbska, D.; Wierzbicka, A. Carbon monoxide concentration and exposure time effects on the depth of CO penetration and surface color of raw and cooked beef longissimus lumborum steaks. Meat Sci. 2016, 121, 182–188. [Google Scholar] [CrossRef]
- Chen, Q.; Anders, S.; An, H. Measuring consumer resistance to a new food technology: A choice experiment in meat packaging. Food Qual. Prefer. 2013, 28, 419–428. [Google Scholar] [CrossRef]
- Dastile, L.S.; Francis, J.; Muchenje, V. Consumers’ Social Representations of Meat Safety in Two Selected Restaurants of Raymond Mhlaba Municipality in the Eastern Cape, South Africa. Sustainability 2017, 9, 1651. [Google Scholar] [CrossRef] [Green Version]
- Akehurst, G.; Afonso, C.; Gonçalves, H.M. Re-examining green purchase behaviour and the green consumer profile: New evidences. Manag. Decis. 2012, 50, 972–988. [Google Scholar] [CrossRef]
- Hartmann, C.; Siegrist, M. Consumer perception and behaviour regarding sustainable protein consumption: A systematic review. Trends Food Sci. Technol. 2017, 61, 11–25. [Google Scholar] [CrossRef]
- Bell, L.; Vogt, J.; Willemse, C.; Routledge, T.; Butler, L.T.; Sakaki, M. Beyond Self-Report: A Review of Physiological and Neuroscientific Methods to Investigate Consumer Behavior. Front. Psychol. 2018, 7, 1655. [Google Scholar] [CrossRef] [Green Version]
- Morsella, E.; Poehlman, T.A. The inevitable contrast: Conscious vs. unconscious processes in action control. Front. Psychol. 2013, 10, 590. [Google Scholar] [CrossRef] [Green Version]
Characteristic | N | % | |
---|---|---|---|
Gender | men | 496 | 49.2 |
women | 513 | 50.8 | |
Age (years) | 19–29 | 121 | 12.0 |
30–39 | 220 | 21.8 | |
40–49 | 211 | 20.9 | |
50–59 | 204 | 20.2 | |
60–70 | 181 | 17.9 | |
≥70 | 72 | 7.1 | |
Educational background * | primary | 120 | 12.1 |
vocational | 342 | 34.5 | |
secondary | 377 | 38.0 | |
higher | 152 | 15.3 | |
Per capita net income * | <1500 PLN (<350 EUR) | 108 | 18.5 |
1500–2500 PLN (~350–600 EUR) | 153 | 26.2 | |
2500–4000 PLN (~600–1000 EUR) | 205 | 35.0 | |
>4000 PLN (>1000 EUR) | 119 | 20.3 | |
Village/city (number of inhabitants) * | village | 352 | 35.1 |
city < 20,000 | 133 | 13.3 | |
city 20,000–100,000 | 203 | 20.3 | |
city 100,000–500,000 | 201 | 20.1 | |
city > 500,000 | 113 | 11.3 | |
Household size (number of persons) * | 1 | 123 | 13.0 |
2 | 265 | 27.9 | |
3 | 241 | 25.4 | |
4 | 209 | 22.0 | |
≥5 | 111 | 11.7 |
Question That Was Asked | Characteristics of Question | Interpretation of Answers |
---|---|---|
| Open-ended question | If respondent defined more than one determinant, the first one listed was interpreted as the most important. |
| Yes/no question | If respondent stated that he knows any quality improvement method, he was asked to describe the method which he knows. |
| Open-ended question | Respondents were allowed to describe an unlimited number of methods, if they wanted to. |
| Close-ended questions (7-point scale): 1: Definitely do not accept; 2: Moderately do not accept; 3: Slightly do not accept; 4: Undecided; 5: Slightly accept; 6: Moderately accept; 7: Definitely accept. | 1–3: Negative answers; 4: Neutral answer; 5–7: Positive answers. |
Perceived Quality Determinants | Acceptance of Animal-Derived Food Products’ Enhancement as the Quality Improvement Method | p | |||||||
---|---|---|---|---|---|---|---|---|---|
1 * | 2 | 3 | 4 | 5 | 6 | 7 | 0 | ||
Origin | 10 (15.6%) | 3 (4.7%) | 4 (6.3%) | 13 (20.3%) | 11 (17.2%) | 7 (10.9%) | 10 (15.6%) | 6 (9.4%) | 0.0264 |
Production technology | 25 (17.2%) | 12 (8.2%) | 12 (8.2%) | 24 (16.4%) | 30 (20.5%) | 10 (6.8%) | 25 (17.2%) | 8 (5.5%) | |
Manufacturer | 9 (19.6%) | 2 (4.3%) | 3 (6.5%) | 11 (23.9%) | 7 (15.2%) | 2 (4.3%) | 7 (15.3%) | 5 (10.9%) | |
Components and nutritional value | 32 (14.2%) | 17 (7.5%) | 14 (6.2%) | 49 (21.6%) | 41 (18.1%) | 32 (14.2%) | 25 (11.1%) | 16 (7.1%) | |
Visual and sensory characteristics | 20 (16.0%) | 9 (7.2%) | 9 (7.2%) | 18 (14.4%) | 23 (18.4%) | 15 (12.0%) | 19 (15.2%) | 12 (9.6%) | |
Expiry date | 52 (21.1%) | 14 (5.7%) | 18 (7.3%) | 46 (18.7%) | 32 (13.1%) | 16 (6.5%) | 37 (15.0%) | 31 (12.6%) | |
Cost | 7 (10.8%) | 0 (0.0%) | 2 (3.1%) | 21 (32.3%) | 13 (20.0%) | 9 (13.8%) | 6 (9.2%) | 7 (10.8%) | |
Not able to define quality determinants | 9 (9.9%) | 2 (2.2%) | 5 (5.5%) | 22 (24.2%) | 13 (14.2%) | 10 (11.0%) | 16 (17.6%) | 14 (15.4%) |
Known Methods of Quality Improvement | Acceptance of Animal-Derived Food Products’ Enhancement as the Quality Improvement Method | p | |||||||
---|---|---|---|---|---|---|---|---|---|
1 * | 2 | 3 | 4 | 5 | 6 | 7 | 0 | ||
Indicates product enhancement | 122 (14.8%) | 45 (5.5%) | 58 (7.0%) | 170 (20.6%) | 145 (17.6%) | 76 (9.2%) | 119 (14.4%) | 90 (10.9%) | 0.0783 |
Indicates method other than product enhancement | 37 (25.2%) | 13 (8.8%) | 7 (4.8%) | 26 (17.7%) | 20 (13.6%) | 17 (11.6%) | 20 (13.6%) | 7 (4.8%) | |
Does not know any method to improve quality | 5 (13.5%) | 1 (2.7%) | 2 (5.4%) | 8 (21.6%) | 5 (13.5%) | 8 (21.6%) | 6 (16.2%) | 2 (5.4%) |
Perceived Quality Determinants | Acceptance of the Application of Novel Packaging for Animal-Derived Food Products as the Quality Improvement Method | p | |||||||
---|---|---|---|---|---|---|---|---|---|
1 * | 2 | 3 | 4 | 5 | 6 | 7 | 0 | ||
Origin | 1 (1.6%) | 2 (3.1%) | 2 (3.1%) | 18 (28.1%) | 10 (15.6%) | 7 (10.9%) | 22 (34.5%) | 2 (3.1%) | |
Production technology | 10 (6.8%) | 6 (4.1%) | 8 (5.5%) | 20 (13.7%) | 35 (24.0%) | 20 (13.7%) | 44 (30.1%) | 3 (2.1%) | |
Manufacturer | 2 (4.3%) | 0 (0.0%) | 0 (0.0%) | 10 (21.7%) | 9 (19.6%) | 2 (4.3%) | 20 (43.6%) | 3 (6.5%) | |
Components and nutritional value | 23 (10.2%) | 6 (2.7%) | 12 (5.3%) | 34 (15.0%) | 45 (19.9%) | 42 (18.6%) | 60 (26.5%) | 4 (1.8%) | 0.0314 |
Visual and sensory characteristics | 4 (3.2%) | 0 (0.0%) | 7 (5.6%) | 31 (24.8%) | 21 (16.8%) | 18 (14.4%) | 41 (32.8%) | 3 (2.4%) | |
Expiry date | 29 (11.8%) | 6 (2.4%) | 10 (4.1%) | 40 (16.3%) | 44 (17.9%) | 38 (15.4%) | 72 (29.3%) | 7 (2.8%) | |
Cost | 3 (4.6%) | 1 (1.5%) | 2 (3.1%) | 9 (13.8%) | 17 (26.2%) | 13 (20.0%) | 15 (23.1%) | 5 (7.7%) | |
Does not know what determines food quality | 4 (4.4%) | 2 (2.2%) | 1 (1.1%) | 16 (17.6%) | 21 (23.1%) | 18 (19.8%) | 24 (26.3%) | 5 (5.5%) |
Known Methods of Quality Improvement | Acceptance of the Application of Novel Packaging for Animal-Derived Food Products as the Quality Improvement Method | p | |||||||
---|---|---|---|---|---|---|---|---|---|
1 * | 2 | 3 | 4 | 5 | 6 | 7 | 8 | ||
Indicates application of novel packaging | 58 (7.0%) | 20 (2.4%) | 35 (4.2%) | 140 (17.0%) | 176 (21.3%) | 132 (16.0%) | 237 (28.7%) | 27 (3.3%) | 0.0044 |
Indicates other method than the application of novel packaging | 18 (9.9%) | 2 (1.1%) | 6 (3.3%) | 38 (21.0%) | 26 (14.4%) | 25 (13.8%) | 61 (33.7%) | 5 (2.8%) | |
Does not know any method to improve quality | 0 (0.0%) | 1 (33.3%) | 1 (33.3%) | 0 (0.0%) | 0 (0.0%) | 1 (33.3%) | 0 (0.0%) | 0 (0.0%) |
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Guzek, D.; Głąbska, D.; Sajdakowska, M.; Gutkowska, K. Analysis of Association between the Consumer Food Quality Perception and Acceptance of Enhanced Meat Products and Novel Packaging in a Population-Based Sample of Polish Consumers. Foods 2020, 9, 1526. https://doi.org/10.3390/foods9111526
Guzek D, Głąbska D, Sajdakowska M, Gutkowska K. Analysis of Association between the Consumer Food Quality Perception and Acceptance of Enhanced Meat Products and Novel Packaging in a Population-Based Sample of Polish Consumers. Foods. 2020; 9(11):1526. https://doi.org/10.3390/foods9111526
Chicago/Turabian StyleGuzek, Dominika, Dominika Głąbska, Marta Sajdakowska, and Krystyna Gutkowska. 2020. "Analysis of Association between the Consumer Food Quality Perception and Acceptance of Enhanced Meat Products and Novel Packaging in a Population-Based Sample of Polish Consumers" Foods 9, no. 11: 1526. https://doi.org/10.3390/foods9111526