Process Innovation: Hidden Secret to Success and Efficiency
Byoungho Jin, Elena Cedrola, Naeun Kim
- Year
- 2019
- Citations
- 13
Abstract
Process innovation is an improved way of doing things across the entire supply chain including management, to expand efficiency in terms of cost, quality, and service. While being internal and invisible to customers in nature, process innovations are intermediate outcomes that serve as a means for achieving higher-level performance, rather than as a goal. Yet, by reducing the time and cost to produce a product or perform a service, and increasing productivity and turnover growth, process innovations add value to fashion firms and serve to highlight their products. In this chapter, process innovations occurring in the global fashion industry are examined using actual examples from global fashion brands in five areas—product development, production, order fulfillment, store operations, and at the service level. Notably, information systems, digital technologies, robotics, and artificial intelligence (AI) are important tools for process innovation, especially in enhancing supply chain efficiency, obtaining real-time data, optimizing deliveries, and reducing the time needed for production and service. However, process innovation should not be understood only from the perspective of information systems and technologies because it is possible to achieve without them, especially in terms of management. It is critically important for firms to clearly identify challenge areas and execute process innovation either incrementally or radically, with or without technologies, aligning with their existing systems. This chapter concludes by emphasizing the critical importance of constant process innovation for fashion firms to achieve success.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992