Food Supply Chain and Business Model Innovation

Abstract

This paper investigates the contribution of business model innovations in the advancement of novel food supply chains. Through a systematic literature review, the notable business model innovations in the food industry are identified, surveyed, and evaluated. Findings reveal that the innovations in value proposition, value creation processes, and value delivery processes of business models are the successful strategies proposed in food industry. It is further disclosed that rural female entrepreneurs, social movements, and also urban conditions are the most important driving forces causing farmers to reconsider their business models. In addition, the new technologies and environmental factors are the secondary contributors in business model innovation for the food processors. It is concluded that digitalization has disruptively changed the food distributor models. E-commerce models and Internet-of-Things are reported as the essential factors causing retailers to innovate their business models. Furthermore, consumption demand and product quality are two main factors affecting the business models of all the firms operating in the food supply chain regardless of their positions in the chain. The findings of the current study provide an insight into the food industry to design a sustainable business model to bridge the gap between food supply and food demand.

Sustainable Business Model Innovation: An Umbrella Review

“…Each component can be broken down into building blocks [2]. Innovations targeted at the implementation of sustainability principles can be directed at one or more of these building blocks cf., [41].…”

“…The design of sustainable value propositions can involve product/service innovation or market innovation [40,41]. Examples of product/service innovation include recycled products [42], do-it-yourself and do-it-together products [43], green products and services [44] and sustainable service innovation [45].…”

“…Once sustainability challenges are recognised by policymakers and there is a willingness to address them, a number of economic, political and legal conditions must be implemented to enable sustainable business model innovation at a larger scale. Access to resources such as organic and other sustainable raw materials [41], capital [60], knowledge [61], skilled labour [59] and technologies [62] emerged as significant antecedents. The size and nature of existing markets ready to embrace sustainable business model innovations further determine the extent to which they can be scaled up as well as the time frame within which the scaling up can occur [63].…”

Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS

“…It is estimated that the world's population will exceed 9.7 billion by 2050, which will encourage worldwide hunger and food insecurity [2]. In general, there are two means of the food supply, i.e., domestic production and imports [3]. Awareness of a region's potential for producing food provides the foundation for developing informed policies for food security.…”

Agricultural Risk Management Using Fuzzy TOPSIS Analytical Hierarchy Process (AHP) and Failure Mode and Effects Analysis (FMEA)

“…MCDM methods are ideal tools for the processes of decision-making between different alternatives. Although multi-criteria techniques have been used in decision problems related to the agriculture and food industries, it has rarely been used as a risk prevention appliance in the agriculture sector [39,40].…”