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Strategic Management of Platform Business Ecosystem Using Artificial Intelligence Supported Human-Computer Interaction Technology

aAksaray University, Turkey
bUniversity of Foggia, Italy

Management and Information Technology in the Digital Era

ISBN: 978-1-80382-296-9, eISBN: 978-1-80382-295-2

Publication date: 30 September 2022

Abstract

Changing ecosystems with digitalisation, the value of information affects all sub-ecosystems, and due to societal changes, management approaches have started to be implemented. This new administration digitalisation, which is the basis of their strategy, made it mandatory for them to adapt to technology. This article details the theoretical basis of the business ecosystem to investigate the integration of human-computer interaction (HCI) technology and platform business ecosystem into the artificial intelligence (AI) environment and to create practicality for the intellectual development of platform business strategy ecosystem management. Then, in the context of textile e-commerce, the intelligent clothing ecosystem is recommended, and the structure of the smart clothing ecosystem is created. A flexible production planning model with multiple constraints and maximum cost savings has been developed within system constraints and objective function scope. The standard genetic algorithm after optimisation was used to solve the aim of model function (based on double-layer integer coding). In the context of the parameters of the algorithm and textile layout, the algorithm was calculated with the MATLAB simulation tool, and then a textile experiment was carried out to solve the problem of system management. Finally, the audio, interactive customer survey results were analysed with structural equation modelling, and a human-computer interactive customer trust model was proposed. The results indicate that the calculation results of the objective function with 6 order sizes and 40 order sizes tend to be good and that the 6th order, respectively, tends to be good. The Gantt chart, calculated by the optimisation algorithm, can show the equipment selection strategy, start time and end time of each order in different workshops. The combination of each operation planning strategy is the production planning chart that corresponds to the order. It is thought that this study, AI-oriented HCI technology for future studies, can solve the strategic management problem of the platform business ecosystem, realise the efficient ecological functioning of the system and benefit businesses in this context.

Keywords

Citation

Döngül, E.S. and Leonardo Cavaliere, L.P. (2022), "Strategic Management of Platform Business Ecosystem Using Artificial Intelligence Supported Human-Computer Interaction Technology", Chemma, N., El Amine Abdelli, M., Awasthi, A. and Mogaji, E. (Ed.) Management and Information Technology in the Digital Era (Advanced Series in Management, Vol. 29), Emerald Publishing Limited, Leeds, pp. 47-61. https://doi.org/10.1108/S1877-636120220000029004

Publisher

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Emerald Publishing Limited

Copyright © 2022 Esra Sipahi Döngül and Luigi Pio Leonardo Cavaliere. Published under exclusive licence by Emerald Publishing Limited