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Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

Broiler meat is the most commonly used meat product worldwide. Although China is regarded as one of the three largest broiler producers, the per capita chicken consumption remains low. Consumers' cognitive bias and the information acquisition channels are believed to be the main factors contributing to this. This paper aims to discuss the aforementioned issue.

To explore the phenomenon empirically, the current study uses the survey data of 1,056 consumers from China and analyses them using ordered logistic regression.

The results revealed that consumers' cognitive bias significantly affects their behaviour toward broiler products, and the order of influence is cognitive bias regarding industry cognitive > product nutrition and taste > food safety. The study further revealed that the more diverse the information acquisition channels, the more likely they are to promote consumer behaviour toward broiler chickens. The order of influence of the channels was self-organising > new media > traditional media.

Overall, the findings suggest that the government and enterprises should strengthen and upgrade information channels to boost both the broiler industry and consumer consumption behaviour regarding poultry products.

Rather than the usual focus on the impact of consumer cognition on consumer behaviour, this study examines the impact of cognitive bias on consumer behaviour. Further, centring on broiler products with high protein, low fat and feed-to-meat ratios, this study explores the reasons the per capita consumption of broiler products in China is far lower than the national average.

This study analyzed the state of broiler production in Senegal after nearly two decades of poultry import restrictions. It provides a synopsis of the Senegalese broiler value chain and evaluates the performance and economics of different broiler farm types.

A multi-stakeholder workshop and interviews were conducted with key informants to investigate the structure and activities of the Senegalese broiler value chain. The typical farm approach (TFA) was used to construct and analyze “typical” farms that represent the most common broiler production systems in Senegal.

The current situation in the Senegalese broiler value chain is favorable for hatcheries, feed mills, producers and poultry traders. However, the slaughterhouses are not faring well. The farm economic analysis demonstrates that typical medium-scale broiler farms are performing well, due to the use of high-quality feed, chicks and good husbandry. Additionally, the analysis revealed that feed and day-old chick (DOC) costs are the most significant in conventional broiler production in Senegal. Despite the high costs of feed and DOCs, broiler production is profitable for typical farms.

Athough this study provides detailed insights into broiler farm economics in Senegal, it does not include typical integrated large-scale broiler farm-types. Based on our findings, we can predict that such farm types may be more efficient and have lower production costs due to the use of high-quality inputs (chicks and feed), and economies of scale. However, future studies will need to verify this prediction.

To the best of the authors’ knowledge, only a few unpublished studies on broiler farm economics in Senegal exist. These studies only provide a basic analysis of the cost of production and profitability, with little consideration of various production systems. Contrastingly, this study provides a detailed economic analysis of different types of conventional broiler farms in key production regions.

The main purpose of this paper is to study the changing consumer behavior toward broiler meat and apprise its consequences toward food insecurity.

This is a sequential exploratory mixed-method study in which qualitative data were collected through semi-structured interviews (n = 38) by snowball sampling. The quantitative data were collected through a questionnaire survey (n = 975) by convenience sampling. The qualitative data were analyzed through NVivo 10 software by using thematic analysis, i.e. the qualitative content analysis (QCA). The theory of consumer alienation provides the theoretical underpinning for a quantitative study. The established scales were adopted and adapted. The quantitative data was analyzed through AMOS 24 software by using structural equation modeling (SEM).

It was found that people have many reservations regarding broiler meat. Thus, consumer alienation negatively (ß = −0.10) and the subjective norm positively (ß = 0.82) affects the intention to buy broiler meat.

The ongoing consumer alienation toward broiler will force them to avoid using this cheapest protein and ultimately will lead to food insecurity in developing countries. It is recommended that people must be adequately educated about the real broiler business and its operations to counter their ongoing misperceptions.

It is the original empirical Research Work.

Suggests that the study of marketing margins can provide a useful indication of the efficiency with which a food commodity is produced and distributed, or the extent to which weaknesses within a marketing system are producing undesirable effects on incomes of producers/distributers or on prices charged to consumers for the final product. Aims to determine, using frozen broilers as an example, the size of the gross marketing margins in Northern Ireland from 1975 to 1982. Proposes to identify the way in which margins have moved during this period. Determines the share of retail expenditure received by Northern Irish retailers and compares this with the share received by producers in Great Britain. Examines the extent to which observed prices and margins were related to the structural features of the marketing system. Reveals two broad conclusions: the Northern Irish market structure appears to have had important influences on pricing behaviour and ultimately marketing performance; and during the period studied marketing efficiency improved which reflected in price reductions.

The purpose of this paper is to determine the stochastic net present value (NPV) of a model smallholder poultry operation in Rwanda under production and market uncertainty.

A discounted cash flow calculator was used to determine the NPV of operator investments and operating cash flows, including time, materials and capital. Broiler production data, market prices and variable input costs were collected from 125 smallholder operations in the Musanze District, Rwanda. These data were combined with a historical price index tracking the inflation rate of Rwanda’s currency. Policies including overstocking, technical support repayment scheduling, selling broilers at a spot market price, using marketing contracts and selling poultry manure were compared using non-parametric paired comparisons and stochastic dominance.

Risk-neutral and risk-averse producers would prefer overstocking, delaying repayment of technical support services and selling manure to status quo operational policy. No differences were observed between the option to sell birds at spot market prices or through contracts.

This analysis demonstrates how individual managerial or an intervention in smallholder broiler production affects financial performance.

To mitigate risk associated with this novel enterprise, producers should consider overstocking birds. If local markets for manure were developed, the risks faced by new or beginning poultry operators could be mitigated.

A stochastic, discounted cash flow model calculator was used to determine the NPV and discounted payback period of operator investments and operating cash flows, including time, materials and capital.

The purpose of this paper is to develop a method to compare supply chains (SCs) of an industry in the scope of supplier's supplier to customer's customer.

The proposed method is based on five processes provided in SCOR model version 9.0 (plan, source, make, deliver and return) and main business stages of the industry. It uses Data Envelopment Analysis (DEA) and PROMETHEE II, a multiple criteria decision‐making technique, as tools to compare SCs in the process level, business stage level and SC level. Therefore, the method is basically a new combination of existing models and methods including SCOR model, DEA and PROMETHEE II. To show the applicability and strength of the method in comparing SCs, it has been implemented in the seven SCs of the Iran broiler industry as a case study.

Comparing SCs of an industry via the proposed method results in process benchmarking, business stage benchmarking and SCs ranking in the scope of supplier's supplier to customer's customer.

The suggested method provides realistic and attainable information for SCs' owner/managers to find out the strengths and weaknesses of their SCs and improve their performance by process benchmarking and business stage benchmarking. Also they could identify their competitive position in the industry by SCs ranking.

The purpose of this paper is to address the issues of correlated events and individual heterogeneity in multiple best management practices (BMPs) adoption.

The authors used survey data collected from broiler producers in Louisiana, USA. The authors estimated several duration models that either considered event dependence or heterogeneity or both.

Results from the conditional frailty model indicated that large farms adopt BMPs earlier, farmers who have been in broiler farming profession for a long time are late to adopt BMPs and more informed farmers, through contact with extension agents and education, are early adopters of BMPs.

The limitation of this study is that the authors did not validate the robustness of the conditional frailty model using a more rigorous approach, such as empirical simulation method.

Many farmers do not adopt a new technology immediately after it becomes available. Duration models help to understand why farmers wait and how long they wait before adopting a new technology. In case of correlated events, where farmers adopt more than one technology, it is important to know the driving factors behind multiple technologies adoption. The findings from this study should help to properly target farmers to increase the adoption rate of a desired BMP.

This is the first study in agriculture technology adoption literature that uses a conditional frailty model to understand why farmers wait to adopt a new technology. This study also addresses both dependence in BMP adoption and heterogeneity in farmers’ quality that impact technology adoption.

The organizational structure of the modern poultry industry that developed in the US South has been advanced as the future model of agriculture and agro-industrial globalization. This “Southern Model” characterized by asymmetrical power relationships between the integrating firms and production growers and reliance on informal labor patterns in processing is being diffused to other countries. Research on the diffusion of this model deserves special attention from those concerned with the socio-economic implications of the globalization of the agri-food system. This chapter first provides an overview of the industrialization of the poultry industry in the United States, then documents the diffusion of this model globally and in Mexico through the activities of Tyson Foods, Inc. and Pilgrim's Pride, Inc. The chapter concludes with a discussion of the relationship between neoliberal restructuring in Mexico and the globalization of the poultry industry.

Driven by scientific and technological intensification, Brazilian agribusinesses are among the main food producers and exporters worldwide. Knowledge management contributes to the development of agribusinesses. The objective of this study is to analyze knowledge management practices in the supply chain of broilers at the level of farmers and compare the differences between farmers who are members of cooperatives, and those who are suppliers of firms.

Using data from a sample of broiler farmers (n = 240, where 80 respondents are associated with cooperatives) from Brazil, descriptive statistics were used to measure the four knowledge management dimensions (leadership, people, process and technology). The Mann–Whitney test was performed to verify the difference in the adoption of knowledge management practices between farmers who are members of cooperatives, and those who are suppliers of firms.

The results showed significant differences between the analyzed groups of broiler farmers that are members of an agricultural cooperative and suppliers of firms. Farmers who supply firms adopt knowledge management practices with greater intensity. They are also more technified and have a larger scale of production.

The study was conducted in a single agribusiness chain. Future studies may look at another method of knowledge management assessment to see if the results will be similar.

The results can contribute to the development of programs and policies, incorporating knowledge management into agribusiness as a competitive strategy.

While knowledge management is a widely studied topic, there has been little focus on this subject with regard to agribusiness. Empirical findings of an important agribusiness supply chain are provided and show the differences in knowledge management perceptions between farmers who are members of cooperatives and those who are suppliers of firms.