Total Factor Productivity: A Framework for Measuring Agri‐food Supply Chain Performance Towards Sustainability

2016 ◽  
Vol 39 (2) ◽  
pp. 259-285 ◽  
Author(s):  
Daniel Gaitán‐Cremaschi ◽  
Miranda P.M. Meuwissen ◽  
Alfons G.J.M. Oude Lansink
Keyword(s):  
Supply Chain ◽  
Total Factor Productivity ◽  
Food Supply ◽  
Supply Chain Performance ◽  
Factor Productivity ◽  
Food Supply Chain

scholarly journals Measuring agri-food supply chain performance and risk through a new analytical framework: a case study of New Zealand dairy

2018 ◽  
Vol 29 (15) ◽  
pp. 1258-1274 ◽  
Author(s):  
Muhammad Moazzam ◽  
Pervaiz Akhtar ◽  
Elena Garnevska ◽  
Norman E. Marr
Keyword(s):  
Supply Chain ◽  
New Zealand ◽  
Food Supply ◽  
Analytical Framework ◽  
Supply Chain Performance ◽  
Food Supply Chain

Evaluating food supply chain performance using hybrid fuzzy MCDM technique

2019 ◽  
Vol 20 ◽  
pp. 40-57 ◽  
Author(s):  
Mohd Sufiyan ◽  
Abid Haleem ◽  
Shahbaz Khan ◽  
Mohd Imran Khan
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Supply Chain Performance ◽  
Food Supply Chain ◽  
Fuzzy Mcdm

scholarly journals Sustainable Agri-Food Supply Chain Performance Measurement Model for GMO and Non-GMO Using Data Envelopment Analysis Method

2019 ◽  
Vol 9 (6) ◽  
pp. 1199
Author(s):  
Virda Saputri ◽  
Wahyudi Sutopo ◽  
Muhammad Hisjam ◽  
Azanizawati Ma’aram
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Performance Measurement ◽  
Food Supply ◽  
Measurement Model ◽  
Assessment Method ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Food Supply Chain ◽  
Using Data

The increase in food demand in Indonesia is one of the consequences of the imbalance between population growth and declining food products. One of alternative technologies that can be used in plant breeding programs to increase agricultural production, in order to meet food demands, is genetically modified organism (GMO) technology. This technology presents a lot of pros and cons among the public-related impacts that will be accepted by consumers. The purpose of this study was to determine the level of sustainability between GMO and non-GMO foods. The performance measurement model for GMO and non-GMO foods was considered according to the seven issues of sustainability that represented environmental, social, and economic aspects. The assessment method was conducted by using Adjusted Profit (AP) with Total Price Recovery (TPR) indicators and Total Factor Productivity (TFP) by utilizing the Data Envelopment Analysis (DEA) Method. Assessments made on each supply chain component included agriculture, processing, and transport to wholesalers/retailers. This study used numerical examples of rice production in Indonesia. The research results found that the performance of non-GMO rice chain is better than GMO rice. It indicates that non-GMO rice is more sustainable. The results show that the proposed model can be applied to measure the sustainability of GMO and Non-GMO agri-food supply chain performance.

Measuring agri-food supply chain performance: insights from the Peruvian kiwicha industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Phillip S. Coles ◽  
Melissa Chavez ◽  
Benjamin Hazen
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Performance Management ◽  
Food Supply ◽  
Measurement Model ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Food Supply Chain ◽  
Content Type ◽  
Fuzzy Micmac

PurposeAgri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system.Design/methodology/approachThis research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model.FindingsThe resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain.Originality/valueThe model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.

Comparative Effects of Food Supply Chain Performance on Unemployment Between Countries in Sub-Saharan Africa

2021 ◽  
Author(s):  
Gildas Ngueuleweu Tiwang ◽  
Fon Dorothy Engwali ◽  
S. B. Ngassam ◽  
G. A. Muluh
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Sub Saharan Africa ◽  
Supply Chain Performance ◽  
Food Supply Chain ◽  
Sub Saharan

Agri-food supply chain performance: an empirical impact of risk

2017 ◽  
Vol 55 (5) ◽  
pp. 872-891 ◽  
Author(s):  
Edmond Yeboah Nyamah ◽  
Yuansheng Jiang ◽  
Yi Feng ◽  
Evelyn Enchill
Keyword(s):  
Supply Chain ◽  
Project Management ◽  
Food Chain ◽  
Food Supply ◽  
Supply Chain Performance ◽  
Food Supply Chain ◽  
Content Type ◽  
Risk Sources ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to examine the key risk components (probability and consequence) and their respective thresholds affecting agri-food supply chain operations in Ghana. In addition, it seeks to understand the relationship between the major risk sources and to fathom the risk/disruption impact on agri-food supply chain performance in Ghana. Design/methodology/approach Cross-sectional survey data were collected using a structured questionnaire. The risks threshold associated with agri-food supply chain were categorized using the risk matrix scale and classification described in the Project Management Body of Knowledge (Project Management Institute, 2013). Next, the Pearson correlation was used to understand the relationship between the various risks and agri-food chain performance. Lastly, to investigate how firms’ supply chain operations have been affected by risks/disruptions, an ordinary least square regression model was employed to quantify the impact of some major risk sources on agri-food chain performance in Ghana. Findings The results in this paper show variations in risks’ probability, impact and threshold in agri-food supply chain. While risk sources such as periodic change in interest/exchange rate policies and volatility in customer demand are high-rated risks, uncertain land policies/tenure and poor quality control are low rated risks in the operations of the chain. The performance of the agri-food chain significantly but negatively correlates with all the major risks studied. Whereas demand, supply, weather, logistics/infrastructure and financial risk sources significantly undermined the chain’s performance, risks emerging from biological/environmental, management/operational, policy/regulations and political-related issues insignificantly affect the performance of agri-food supply chain in Ghana. Research limitations/implications This research is an area biased. However, some insightful managerial implications can be drawn from this paper to manage agri-food chain operations in a similar unstable environment. The result implies that risks are inevitable in agri-food chain but they differ in terms of menace to the chain’s operation. Therefore, to manage agri-food supply chain risks effectively, managers should periodically identify, quantify and categorize risk sources before making risk response decisions. In addition, the results show that risks account for about half of the overall agri-food chain performance in Ghana. This infers that managers/practitioners could improve the performance of the agri-food chain if limited resources are allocated to plan and effectively respond to major risks sources (such as demand, supply, finance, weather and logistical/ infrastructural services-related risks) undermining the performance of the chain. Originality/value This research contributes to the agri-food chain risk literature and provides managers/practitioners with empirical evidence of risk thresholds and their corresponding major impact on agri-food chain’s performance. Since risks explained about half of agri-food chain performance in Ghana, this research would prompt decision makers to improve on their risk assessment and responds (e.g. by employing efficient demand, supply and weather forecasting systems, logistic/infrastructure services, hedge to finance, etc.) to improve the chain’s performance.

The impact of information technology capabilities on agri-food supply chain performance: the mediating effects of interorganizational relationships

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mengjie Zeng ◽  
Jianjun Lu
Keyword(s):  
Information Technology ◽  
Supply Chain ◽  
Food Supply ◽  
Interorganizational Relationships ◽  
Supply Chain Performance ◽  
Food Supply Chain ◽  
Content Type ◽  
Productivity Paradox ◽  
It Capabilities ◽  
The Impact

PurposeMotivated by the apparent presence of the “productivity paradox” of information technology (IT) in agri-food supply chain (SC), the purpose of this paper is to explore how IT capabilities affect agri-food supply chain performance (SCP). Specifically, this paper investigates the direct and indirect impacts of IT capabilities on agri-food SCP through interorganizational relationships.Design/methodology/approachThis paper employs the questionnaire survey method based on relevant literatures. Data are collected from Chinese 265 core firms' agri-food SC. Structural equation modelling (SEM) is mainly employed for hypothesis testing and analysis.FindingsThe main findings are as follows. First, IT capabilities have significant direct impact on agri-food SCP. Second, IT capabilities enhance interorganizational relationships in the agri-food SC. Third, interorganizational relationships positively influence agri-food SCP. Last, interorganizational relationships are important path factors and mediate the indirect impact of IT capabilities on agri-food SCP.Research limitations/implicationsThis research is limited to a particular sample, that is, agriculture-related firms in Chinese agri-food SC. The results need to be generalized to encompass wider samples. Future research could in greater detail study the links among IT capabilities, interorganizational relationships and agri-food SCP.Practical implicationsThe study's findings could provide practical reference value for agriculture-related firms to design appropriate strategies to solve the IT “productivity paradox” and improve agri-food SCP from the perspectives of IT capabilities and interorganizational relationships.Originality/valueThis paper constructs a newly developed framework based on the resource-based view (RBV) and relational view to examine the links among IT capabilities, interorganizational relationships and agri-food SCP, and innovatively verifies the mediating effect of interorganizational relationships on the impact of IT capabilities on agri-food SCP.

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