Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4645
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dc.contributor.authorChaudhuri, Atanu-
dc.contributor.authorDatta, Partha Priya-
dc.contributor.authorFernandes, Kiran J.-
dc.contributor.authorXiong, Yu-
dc.date.accessioned2024-01-28T13:53:44Z-
dc.date.available2024-01-28T13:53:44Z-
dc.date.issued2021-04-
dc.identifier.issn1873-7579 (online)-
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/4645-
dc.identifier.urihttps://doi.org/10.1016/j.ijpe.2021.108065
dc.descriptionBiosketch: Atanu Chaudhuri, Durham University Business School, Mill Hill Lane, DH1 3LB, Durham, United Kingdom; Partha Priya Datta, Operations Management, Indian Institute of Management, Joka, Diamond Harbour Road, Kolkata, Pin, 700104, West Bengal, India; Kiran J. Fernandes, Durham University Business School, Mill Hill Lane, DH1 3LB, Durham, United Kingdom; Yu Xiong, Surrey Business School, University of Surrey, Alexander Fleming Rd, Guildford, GU2 7XH, UK.en_US
dc.description.abstractManufacturing as a Service (MaaS) is a service which delivers manufactured products by connecting its network of suppliers with its customers on a digital platform. The long term sustainability of the MaaS platforms depends on their pricing strategy and whether they can generate sufficient volume from customers and encourage suppliers to do business with them. The objective of the paper is to develop optimal prices which a MaaS platform can charge to maximize its own profit as well as joint profit for itself and its supplier. Game theoretic models based on Hotelling's model are developed to determine the prices. We consider scenarios when the platform charges and does not charge subscription fees. We also determine conditions for the supplier to join the platform. Our models are motivated by real problems faced by a MaaS platform and have been validated using data provided by the platform. The models, the conditions developed and the insights obtained by validating the models using real data provide guidance to MaaS platforms to improve their business sustainability. The paper thus shows that MaaS platforms, when successfully designed, with appropriate pricing models can create an effective and economically sustainable business ecosystem.en_US
dc.language.isoen_USen_US
dc.publisherInternational Journal of Production Economicsen_US
dc.relation.ispartofseriesVol. 234;-
dc.subjectOptimal pricingen_US
dc.subjectManufacturing as a service (MaaS)en_US
dc.subjectSpatial marketen_US
dc.subjectCompetitionen_US
dc.subjectPlatformsen_US
dc.titleOptimal pricing strategies for manufacturing-as-a service platforms to ensure business sustainabilityen_US
dc.typeArticleen_US
Appears in Collections:Operations Management

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