Fine-Tuning the Fight Against Food Waste

被引：49

作者：

Aschemann-Witzel, Jessica ^{[1
]}

de Hooge, Ilona E. ^{[2
]}

Almli, Valerie L. ^{[3
]}

Oostindjer, Marije ^{[4
]}

机构：

[1] Aarhus Univ, MAPP Ctr Res Customer Relat Food Sect, Fuglesangsalle 4, DK-8210 Aarhus, Denmark

[2] Wageningen Univ, Dept Mkt & Consumer Behav, POB 8130, NL-6700 EW Wageningen, Netherlands

[3] Nofima AS, Postboks 210, NO-1431 As, Norway

[4] Norwegian Univ Life Sci, Dept Chem Biotechnol & Food Sci, POB 5003, N-1432 As, Norway

来源：

JOURNAL OF MACROMARKETING | 2018年 / 38卷 / 02期

关键词：

segmentation; public policy; consumer behavior; macromarketing; food waste; consumer lifestyle; GREENHOUSE-GAS EMISSIONS; LIFE-STYLE; SUSTAINABLE FOOD; CONVENIENCE FOOD; SUBOPTIMAL FOOD; ENERGY USE; CONSUMER; CONSUMPTION; SEGMENTATION; BEHAVIOR;

D O I：

10.1177/0276146718763251

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The complex causes of consumer food waste make it difficult for commercial actors and public policy makers to develop successful foodwaste reduction campaigns. One of the essential problems is that consumer food waste seems to be the unplanned result of divergent food-related behaviors. The current research investigates the relationship between distinctive consumer food-related lifestyle patterns and food waste. A survey with 848 consumers in a Northern European country (Denmark) suggests that segments of consumers identified by food-related behaviors have corresponding differences in food waste produced. For example, consumers' food waste varies across different patterns of food-related lifestyle-dimensions, such as 1) cooking enjoyment, 2) food planning, 3) price orientation, 4) social relationships related to meals, and 5) food-safety concerns. The study presents possible macromarketing actions and policies targeting consumer segments to reduce food waste.

引用

页码：168 / 184

页数：17

共 50 条

[21] Digital platforms: mapping the territory of new technologies to fight food waste [J].

Cane, Massimo ;

Parra, Carmen .

BRITISH FOOD JOURNAL, 2020, 122 (05) :1647-1669

[22] Hindbrain patterning requires fine-tuning of early krox20 transcription by Sprouty 4 [J].

Labalette, Charlotte ;

Bouchoucha, Yassine Xavier ;

Wassef, Michel Adam ;

Gongal, Patricia Anne ;

Le Men, Johan ;

Becker, Thomas ;

Gilardi-Hebenstreit, Pascale ;

Charnay, Patrick .

DEVELOPMENT, 2011, 138 (02) :317-326

[23] Fine-Tuning U-Net for Ultrasound Image Segmentation: Different Layers, Different Outcomes [J].

Amiri, Mina ;

Brooks, Rupert ;

Rivaz, Hassan .

IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2020, 67 (12) :2510-2518

[24] Automatic Segmentation of Bone and Muscle Structures in CT Volumes Using Convex Relaxation and Fine-Tuning [J].

Perez-Carrasco, Jose-Antonio ;

Serrano, Carmen ;

Acha, Begona .

XV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING - MEDICON 2019, 2020, 76 :397-404

[25] Synthetic designs regulating cellular transitions: Fine-tuning of switches and oscillators [J].

Zorzan, Irene ;

Lopez, Alejandra Rojas ;

Malyshava, Anastasiya ;

Ellis, Tom ;

Barberis, Matteo .

CURRENT OPINION IN SYSTEMS BIOLOGY, 2021, 25 :11-26

[26] Fine-tuning of stannic oxide anodes' material properties through calcination [J].

Lakshmi, D. ;

Diana, M. Infanta ;

Nalini, B. ;

Soundarya, G. G. ;

Priyanka, P. ;

Jayapandi, S. ;

Selvin, P. Christopher .

JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS, 2021, 32 (23) :27384-27397

[27] My style, my food, my waste! Consumer food waste-related lifestyle segments [J].

Aschemann-Witzel, Jessica ;

de Hooge, Ilona E. ;

Almli, Valerie L. .

JOURNAL OF RETAILING AND CONSUMER SERVICES, 2021, 59

[28] Fostering food waste reduction through food practice temporalities [J].

Dyen, Margot ;

Sirieix, Lucie ;

Costa, Sandrine .

APPETITE, 2021, 161

[29] Mapping the landscape of Consumer Food Waste [J].

Harvey, J. ;

Nica-Avram, G. ;

Smith, M. ;

Hibbert, S. ;

Muthuri, J. .

APPETITE, 2022, 168

[30] An automated diabetic retinopathy of severity grade classification using transfer learning and fine-tuning for fundus images [J].

Chavan, Sachin ;

Choubey, Nitin .

MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (24) :36859-36884

← 1 2 3 4 5 →