Design of an artificial intelligence system for predicting success of new product development and selecting proper market-product strategy in the food industry

Abstract

Predicting the performance of the new product development and selecting the strategy in the case of new product development failure is an issue that has drawn the attention of the many managers. Therefore, the goal of this study is to design an integrated system of prediction of product development success and selection of a proper market-product strategy by the method of artificial intelligence in companies working in the food industry. The population of this study was 250 companies of the food industries in Iran. The inputs and outputs of the success of the new product development were obtained from the research literature. Moreover, Ansoff matrix was applied to select the market-product strategy. A questionnaire was used to collect the data in this study. The adaptive neural-fuzzy network method and the fuzzy inference system are used to analyze the data. The results show that the Chief Executive Officers of companies working in the food industry may take action to predict a new product development success before developing the new product and use alternative strategies if needed.

Implementation of Internet of Things depends on intention: young farmers’ willingness to accept innovative technology

“…sensing devices, smart facilities, Internet of Things (IoT) and Big Data analytics) into the field of agriculture. The program's guidance in application of smart production and smart management helps solve the predicament of farmers working alone (Council of Agriculture, 2016;Kitchen, 2008;Soltani-Fesaghandis and Pooya, 2018). Smart agriculture, most characterized by precision agriculture, incorporates diverse expertise, skills, hardware components, and analytical software into agricultural production and business management while taking into account the passing down of traditional farming and techniques (Lamb et al, 2008;Vellidis et al, 2008).…”

Internet of Nonthermal Food Processing Technologies (IoNTP): Food Industry 4.0 and Sustainability

“…An AI system collects data from smart sensors and with previous operation history predicts maintenance timing without breakdowns or shutdowns of production [27]. Robotics driven by AI is an important element in the sector of packing and delivering of food products because of increasing demands from final consumers [18,[28][29][30][31][32]. Technological solutions founded on AI enable bigger, more quality food production with less inputs, less waste and lower energy consumption [20,31,33,34].…”

“…Robotics driven by AI is an important element in the sector of packing and delivering of food products because of increasing demands from final consumers [18,[28][29][30][31][32]. Technological solutions founded on AI enable bigger, more quality food production with less inputs, less waste and lower energy consumption [20,31,33,34].…”

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