Minimizing losses at red meat supply chain with circular and central slaughterhouse model

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Date

2020

Authors

Yasanur Kayikci
Melisa Ozbiltekin
Yigit Kazancoglu

Journal Title

Journal ISSN

Volume Title

Publisher

EMERALD GROUP PUBLISHING LTD

Open Access Color

Green Open Access

Yes

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Publicly Funded

No
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Top 10%
Influence
Top 10%
Popularity
Top 10%

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Journal Issue

Abstract

Purpose - The purpose of this paper is to find solutions to improve the red meat sector in an emerging economy Turkey from the circular economy point of view and taking sustainability approach. The need for circular management within the red meat sector in Turkey is emphasized by using Grey method. As theoretical contribution of this study the investigation of the causes of losses at the slaughter stages of the red meat supply chain leads to proposals for sustainable and circular solutions. Design/methodology/approach - Grey method is used to predict the number of slaughtered cattle and the amount of bone and blood waste in the slaughtering process between 2018 and 2020. Findings - It is revealed that according to Grey prediction calculations although the amount of slaughtered cattle bone and blood waste seem have decreased between 2018 and 2020 there are still significant losses in Turkish red meat sector. For bone waste this is expected to be 56581200 kg in 2018 48235840 kg in 2019 and 41121380 kg in 2020. For blood waste it is expected to be 24754275 kg in 2018 21103180 kg in 2019 and 17990604 kg in 2020. Social implications - The proposed model in the study will contribute on sector revitalization increase in product safety quality and hygiene development in the management of training and education centers for farmers/labors and increase in employment. Originality/value - This paper represents policymakers with a proposal for triple bottom line (TBL) based circular and central slaughterhouse model based on TBL which brings social economic and environmental benefits for the red meat sector in Turkey.

Description

Keywords

Sustainability, Circular economy, Food supply chain, Emerging country, Grey prediction, Red meat loss, GREY FORECASTING-MODEL, LIFE-CYCLE ASSESSMENT, FOOD WASTE, SUSTAINABILITY PRACTICES, MANAGEMENT, SAFETY, CHALLENGES, EMISSIONS, PRODUCTS, INDUSTRY, Red Meat Loss, Grey Prediction, Emerging Country, Food Supply Chain, Sustainability, Circular Economy

Fields of Science

0502 economics and business, 05 social sciences

Citation

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Scopus Q

OpenCitations Logo
OpenCitations Citation Count
35

Source

Journal of Enterprise Information Management

Volume

33

Issue

4

Start Page

791

End Page

816
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Citations

CrossRef : 31

Scopus : 40

Captures

Mendeley Readers : 199

SCOPUS™ Citations

40

checked on Apr 08, 2026

Web of Science™ Citations

33

checked on Apr 08, 2026

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Google Scholar™
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OpenAlex FWCI
3.9073

Sustainable Development Goals

ZERO HUNGER2
ZERO HUNGER
QUALITY EDUCATION4
QUALITY EDUCATION
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS