Context - Blockchain-based smart contracts have drawn the attention of scientific communities and businesses in recent years. The development of blockchain-based smart contracts is different from the development of conventional software due to the blockchain characteristics such as immutability, trustlessness, being append-only, and being decentralized. Therefore, standard software engineering processes need to be adjusted to address the unique characteristics of blockchain. Objective - This thesis aims to create a structured map of current research on the development of blockchain-based smart contracts, with a focus on identifying and classifying the development phases. Method - To accomplish our objective, we carried out a systematic mapping study on blockchain-based smart contract development. Our search yielded 1257 potentially related studies that were subjected to a selection process. Subsequently, in the final set appeared 41  primary studies. Result - Our main findings after analysis of the data are as follow:  (i) researches mainly contribute to methods and providing tools, (ii) a  large number of workshop papers indicate smart contracts' high acceptance rate, (iii) there is a lack of research on the finalization as a development phase, (iv) there is no common or standard language for specifying smart contracts that are valid regardless of the blockchain platform, (v)  the most common language paradigm for smart contracts specification is imperative/declarative and for smart contracts implementation is declarative, (vi) the research community has put too much effort into the Ethereum blockchain, while it requires putting more attention to other blockchains, and (vii) there is a lack of studies tackling trustworthy oracle and scam challenges. conclusion - These results can benefit the research community to identify trends, constraints, and research gaps. In addition, they share potential directions for future research.

This study examines small and medium scale specialty crop growers’ preferences for marketing contract attributes and willingness to adopt blockchain-based smart contracts. The data used were collected using an online survey and discrete choice experiment. Findings indicate that farmers prefer higher average prices, cash, check or electronic bank payment over cryptocurrency, and immediate payment upon product delivery over delayed payment. When choosing a contract, farmers viewed traditional text-based contracts and digital platforms with automated smart contracts equivalently, on average. On average, farmers showed no preference for providing and not providing traceability lot codes to buyers, and between choosing a contract and marketing their products as usual. Although we find that some farmers prefer to provide traceability lot codes to buyers while others do not, and some farmers prefer having a contract option while others do not. These insights could be useful to buyers and specialty crop farmers seeking to contract.