Estimating Demand for Third-party Quality Testing in Rural Grain Markets: Evidence from an Experimental Auction for Measuring Moisture Content in Kenya

2021 ◽  
Author(s):  
Amanda J Fuller ◽  
Jacob Ricker-Gilbert
Keyword(s):  
Supply Chain ◽  
Relative Humidity ◽  
Low Cost ◽  
Market Price ◽  
Third Party ◽  
Experimental Auction ◽  
Western Kenya ◽  
Grain Markets ◽  
Testing Service ◽  
Quality Testing

Abstract Traders in informal grain markets often lack incentives to sell grain dried to a moisture level that is safe for storage, due to weak regulations and lack of low-cost moisture testing technologies. This study estimated the demand for a third-party moisture testing service in western Kenya that can encourage safe drying and reduce asymmetric information between buyers and sellers. We utilised a Becker–DeGroot–Marschak (BDM) auction to obtain maize traders’ willingness to pay (WTP) for the moisture testing service and compared it with two alternative multiple price list (MPL) mechanisms for eliciting WTP. Traders had the opportunity to bid on the testing service with two different moisture metres. The first was a low-cost hygrometer that measures temperature and relative humidity and costs about $2.50. The second was a commercial moisture metre that costs $170 in USA but provides a more precise reading. Results suggest that the standard BDM auction and both MPL variants produced similar estimates of demand for our moisture testing service. On average, traders were willing to pay $0.28 to have their maize tested with the hygrometer and $0.39 with the moisture metre. An additional take-it-or-leave-it auction for the hygrometer itself revealed that traders were not sensitive to price changes around market price, although only 15% of the traders purchased the device. A service provider model using either device could be a way to make moisture testing accessible in rural grain markets in the absence of a supply chain that sells these devices directly.

Integration in loosely coupled garment supply chains

2018 ◽  
Vol 11 (3) ◽  
pp. 357-383 ◽  
Author(s):  
Pilar Ester Arroyo ◽  
Elsebeth Holmen ◽  
Luitzen De Boer
Keyword(s):  
System Theory ◽  
Supply Chain ◽  
Customer Service ◽  
Low Cost ◽  
Supply Chain Design ◽  
Third Party ◽  
Global Mode ◽  
Seamless Integration ◽  
Content Type ◽  
Supplier Integration

PurposeThis paper aims to deliberate about the problem of tight and seamless integration in a supply chain by conceptualising and understanding how looseness and its creation represent an effective supply chain design.Design/methodology/approachThis research is grounded in system theory and industrial network research, while the case study of a textile and garment supply network coordinated by a third party in Mexico empirically illustrates how looseness in the supply chain may be created. The information gathered through in-depth interviews with critical informants at Aztex and three of their suppliers, visits in situ and secondary information, was organised with the template analysis technique and interpreted from three different but complementary perspectives, system theory, supply chain coordination modes and industrial networks, to establish the particularities of the triad model.FindingsThe study shows that supply chain integration may take place in a variety of forms, and that new theoretical perspectives are required to understand how the looseness in the connections among actors contributes to the flexibility and efficiency of the chain. Additionally, the analysis of the case puts forward the trader’s crucial role as linking pin between suppliers and customers in the specific context of the garment sector.Research limitations/implicationsAdditional cases and triangulation of information from traders, suppliers and customers would contribute to explore in more detail how integration takes place not only in the textile and garment industry sector but also in other industries.Practical implicationsA rational explanation of why establish full integration across several tiers of suppliers and customers is too difficult to attain is given to managers. They may recognise that tight couplings will be necessary and possible only with strategic counterparts; meanwhile, others are more suitable to be delegated to a third party.Social implicationsThe economic and industrial stability and progress of low-cost sourcing countries depends on the selection of international purchasers. The advancement of triangle manufacturing facilitated by a trader may become another criterion to drive the selection towards a region. In the case of Mexico, this adds to the near sourcing advantages of the country.Originality/valueThe research confirms that there is no unique global mode of supplier integration and suggests that different approaches are viable as long as the objectives of operational efficiency, good customer service and flexibility are satisfied.

The Building Blocks of Formulas to Measure Expectation Damages; the Indifference Principle

2018 ◽  
Author(s):  
Melvin A. Eisenberg
Keyword(s):  
Market Price ◽  
Building Blocks ◽  
Third Party ◽  
Replacement Cost ◽  
Contract Price ◽  
Resale Price ◽  
The Difference ◽  
Lost Profit

Chapter 13 concerns the building blocks of formulas to measure expectation damages: replacement cost, market price, resale price, diminished value, and lost profits. Replacement-cost damages are based on the difference between the contract price and the actual or imputed cost of a replacement transaction. Resale-price damages are based on the difference between the contract price payable by a breaching buyer and the price the seller received on resale to a third party. Diminished-value damages are based on the difference between the value of the performance that a breaching seller rendered and the value of the performance that she promised to render. Lost-profit damages are based on the difference between the price a breaching buyer agreed to pay and the seller’s variable costs.

scholarly journals Review: Impacts of shade on cattle well-being in the beef supply chain

2020 ◽  
Author(s):  
Lily N Edwards-Callaway ◽  
M Caitlin Cramer ◽  
Caitlin N Cadaret ◽  
Elizabeth J Bigler ◽  
Terry E Engle ◽  
...  
Keyword(s):  
Supply Chain ◽  
Heat Stress ◽  
Beef Cattle ◽  
Production Systems ◽  
Construction Materials ◽  
Well Being ◽  
Third Party ◽  
Ambient Temperatures ◽  
Stress Susceptibility ◽  
The Impact

ABSTRACT Shade is a mechanism to reduce heat load providing cattle with an environment supportive of their welfare needs. Although heat stress has been extensively reviewed, researched, and addressed in dairy production systems, it has not been investigated in the same manner in the beef cattle supply chain. Like all animals, beef cattle are susceptible to heat stress if they are unable to dissipate heat during times of elevated ambient temperatures. There are many factors that impact heat stress susceptibility in beef cattle throughout the different supply chain sectors, many of which relate to the production system, i.e. availability of shade, microclimate of environment, and nutrition management. The results from studies evaluating the effects of shade on production and welfare are difficult to compare due to variation in structural design, construction materials used, height, shape, and area of shade provided. Additionally, depending on operation location, shade may or may not be beneficial during all times of the year, which can influence the decision to make shade a permanent part of management systems. Shade has been shown to lessen the physiologic response of cattle to heat stress. Shaded cattle exhibit lower respiration rates, body temperatures, and panting scores compared to un-shaded cattle in weather that increases the risk of heat stress. Results from studies investigating the provision of shade indicate that cattle seek shade in hot weather. The impact of shade on behavioral patterns is inconsistent in the current body of research, some studies indicating shade provision impacts behavior and other studies reporting no difference between shaded and un-shaded groups. Analysis of performance and carcass characteristics across feedlot studies demonstrated that shaded cattle had increased ADG, improved feed efficiency, HCW, and dressing percentage when compared to cattle without shade. Despite the documented benefits of shade, current industry statistics, although severely limited in scope, indicate low shade implementation rates in feedlots and data in other supply chain sectors do not exist. Industry guidelines and third party on-farm certification programs articulate the critical need for protection from extreme weather but are not consistent in providing specific recommendations and requirements. Future efforts should include: updated economic analyses of cost versus benefit of shade implementation, exploration of producer perspectives and needs relative to shade, consideration of shade impacts in the cow-calf and slaughter plant segments of the supply chain, and integration of indicators of affective (mental) state and preference in research studies to enhance the holistic assessment of cattle welfare.

scholarly journals Third Party Certification of Agri-Food Supply Chain Using Smart Contracts and Blockchain Tokens

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5307
Author(s):  
Ricardo Borges dos Santos ◽  
Nunzio Marco Torrisi ◽  
Rodrigo Palucci Pantoni
Keyword(s):  
Supply Chain ◽  
Mobile Application ◽  
Consumer Behaviour ◽  
Economic Incentives ◽  
Third Party ◽  
Smart Contracts ◽  
Proof Of Concept ◽  
Socially Responsible ◽  
The Public ◽  
Blockchain Technology

Every consumer’s buying decision at the supermarket influences food brands to make first party claims of sustainability and socially responsible farming methods on their agro-product labels. Fine wines are often subject to counterfeit along the supply chain to the consumer. This paper presents a method for efficient unrestricted publicity to third party certification (TPC) of plant agricultural products, starting at harvest, using smart contracts and blockchain tokens. The method is capable of providing economic incentives to the actors along the supply chain. A proof-of-concept using a modified Ethereum IGR token set of smart contracts using the ERC-1155 standard NFTs was deployed on the Rinkeby test net and evaluated. The main findings include (a) allowing immediate access to TPC by the public for any desired authority by using token smart contracts. (b) Food safety can be enhanced through TPC visible to consumers through mobile application and blockchain technology, thus reducing counterfeiting and green washing. (c) The framework is structured and maintained because participants obtain economical incentives thus leveraging it´s practical usage. In summary, this implementation of TPC broadcasting through tokens can improve transparency and sustainable conscientious consumer behaviour, thus enabling a more trustworthy supply chain transparency.

scholarly journals Decisions and Coordination in E-Commerce Supply Chain under Logistics Outsourcing and Altruistic Preferences

Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 253
Author(s):  
Yuyan Wang ◽  
Zhaoqing Yu ◽  
Liang Shen ◽  
Runjie Fan ◽  
Rongyun Tang
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Stackelberg Game ◽  
Consumer Preferences ◽  
Third Party ◽  
Altruistic Behavior ◽  
Fixed Cost ◽  
Equilibrium Solutions ◽  
Factors Affecting ◽  
Dual Channel

Considering the peculiarities of logistics in the electronic commerce (e-commerce) supply chain (ESC) and e-commerce platform’s altruistic preferences, a model including an e-commerce platform, third-party logistics service provider, and manufacturer is constructed. Based on this, three decision models are proposed and equilibrium solutions are obtained by the Stackelberg game. Then, an “altruistic preference joint fixed-cost” contract is proposed to maximize system efficiency. Finally, numerical analysis is used to validate the findings of the paper. The article not only analyzes and compares the optimal decisions under different ESC models, but also explores the intrinsic factors affecting the decisions. This paper finds that the conclusions of dual-channel supply chains or traditional supply chains do not necessarily apply to ESC, and that the effect of altruistic behavior under ESC is influenced by consumer preferences. Moreover, there is a multiparty win–win state for ESC, and this state can be achieved through the “altruistic preference joint fixed-cost” contract. Therefore, the findings of this paper contribute to the development of an e-commerce market and the cooperation of ESC members.

scholarly journals Multi-Blockchain-Based IoT Data Processing Techniques to Ensure the Integrity of IoT Data in AIoT Edge Computing Environments

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3515
Author(s):  
Sung-Ho Sim ◽  
Yoon-Su Jeong
Keyword(s):  
Low Cost ◽  
Third Party ◽  
Monitoring And Control ◽  
Constant Size ◽  
Computing Environments ◽  
Iot Devices ◽  
Cloud Servers ◽  
The Cost ◽  
Processing Techniques ◽  
And Control

As the development of IoT technologies has progressed rapidly recently, most IoT data are focused on monitoring and control to process IoT data, but the cost of collecting and linking various IoT data increases, requiring the ability to proactively integrate and analyze collected IoT data so that cloud servers (data centers) can process smartly. In this paper, we propose a blockchain-based IoT big data integrity verification technique to ensure the safety of the Third Party Auditor (TPA), which has a role in auditing the integrity of AIoT data. The proposed technique aims to minimize IoT information loss by multiple blockchain groupings of information and signature keys from IoT devices. The proposed technique allows IoT information to be effectively guaranteed the integrity of AIoT data by linking hash values designated as arbitrary, constant-size blocks with previous blocks in hierarchical chains. The proposed technique performs synchronization using location information between the central server and IoT devices to manage the cost of the integrity of IoT information at low cost. In order to easily control a large number of locations of IoT devices, we perform cross-distributed and blockchain linkage processing under constant rules to improve the load and throughput generated by IoT devices.

scholarly journals Let Them Eat Chaya: Cultural Revitalization through Culinary Offerings in Belize

Heritage ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1511-1525
Author(s):  
Lauren Griffith ◽  
Cameron Griffith
Keyword(s):  
Supply Chain ◽  
Low Cost ◽  
Full Potential ◽  
Cultural Revitalization ◽  
Dramatic Shift

The Belizean culinary landscape has experienced a dramatic shift in recent years, with an abundance of “fresh” and “local” dishes (i.e., salads) appearing on restaurant menus. While many tourists appreciate the option of ordering salad, there is a truly local green that might be equally or better suited to the tourist market given what we know about tourists’ interests in both authenticity and healthful eating. This paper explores both host and guest attitudes towards chaya, a leafy green that is high in protein and may have anti-diabetic properties. We argue that tourists enjoy eating chaya but restauranteurs are not taking advantage of its potential as a sustainable, low-cost dish that could also help preserve traditional foodways. Though restauranteurs are apt to cite supply chain issues as one of the reasons they are reluctant to make chaya a menu mainstay, we also believe that when a food occupies an ambiguous place in the local foodscape—as chaya does—local hosts may be unable to leverage it to is full potential.

scholarly journals Developing Relative Humidity and Temperature Corrections for Low-Cost Sensors Using Machine Learning

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3338
Author(s):  
Ivan Vajs ◽  
Dejan Drajic ◽  
Nenad Gligoric ◽  
Ilija Radovanovic ◽  
Ivan Popovic
Keyword(s):  
Machine Learning ◽  
Air Quality ◽  
Relative Humidity ◽  
Low Cost ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Lower Accuracy ◽  
Wide Range ◽  
The Impact ◽  
Monitoring Stations

Existing government air quality monitoring networks consist of static measurement stations, which are highly reliable and accurately measure a wide range of air pollutants, but they are very large, expensive and require significant amounts of maintenance. As a promising solution, low-cost sensors are being introduced as complementary, air quality monitoring stations. These sensors are, however, not reliable due to the lower accuracy, short life cycle and corresponding calibration issues. Recent studies have shown that low-cost sensors are affected by relative humidity and temperature. In this paper, we explore methods to additionally improve the calibration algorithms with the aim to increase the measurement accuracy considering the impact of temperature and humidity on the readings, by using machine learning. A detailed comparative analysis of linear regression, artificial neural network and random forest algorithms are presented, analyzing their performance on the measurements of CO, NO2 and PM10 particles, with promising results and an achieved R2 of 0.93–0.97, 0.82–0.94 and 0.73–0.89 dependent on the observed period of the year, respectively, for each pollutant. A comprehensive analysis and recommendations on how low-cost sensors could be used as complementary monitoring stations to the reference ones, to increase spatial and temporal measurement resolution, is provided.

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