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Business Model Canvas for Smart Tailor Platform

Mat Aji, Zahurin and Yusop, Nor Iadah and Damiri, Rohaya Dahari and Mohd, Haslina (2018) Business Model Canvas for Smart Tailor Platform. In: Knowledge Management International Conference (KMICe) 2018, 25 –27 July 2018, Miri Sarawak, Malaysia.

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A Smart Tailor Platform is proposed as a venue to integrate various players in garment industry, such as tailors, designers, customers, and other relevant stakeholders to automate its business processes. In, Malaysia, currently the processes are conducted manually which consume too much time in fulfilling its supply and demand for the industry. To facilitate this process, a study was conducted to understand the main components of the business operation. The components will be represented using a strategic management tool namely the Business Model Canvas (BMC). The inception phase of the Rational Unified Process (RUP) was employed to construct the BMC. The phase began by determining the basic idea and structure of the business process. The information gathered was classified into nine related dimensions and documented in accordance with the BMC. The generated BMC depicts the relationship of all the nine dimensions for the garment industry, and thus represents an integrated business model of smart tailor.This smart platform allows the players in the industry to promote, manage and fulfill supply and demands of their product electronically. In addition, the BMC can be used to assist developers in designing and developing the smart tailor platform.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 9789670910871 Organized by: School of Computing, College of Arts and Sciences, Universiti Utara Malaysia
Uncontrolled Keywords: Smart tailor, business model canvas, garment industry, business process, value creation
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: School of Computing
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 28 Nov 2018 00:40
Last Modified: 28 Nov 2018 00:40

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