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This study aims to investigate how manufacturing firms in the creative industries harness digital technologies to undertake business model innovation.

This study used in-depth case studies to examine the complex interplay between digital technologies and business model innovation. A longitudinal approach was selected to capture major events both within the firm and in the business environment. Building on the firm’s archival data, interviews and secondary data that was available to the public, the authors carefully analyzed impactful digital technology events and the firm’s responses to the technological changes that occurred over the period of 2004–2020.

The findings suggest that digital technologies alone are not sufficient for business model innovation to be successful; support from sociotechnical factors is also required. Additionally, firms should reinvent a new business model when the existing ones seem to start to diminish.

In this study one firm was examined as the subject, using a qualitative method. This method allowed us to observe complex interplays among the resources required in business models. Future research can combine qualitative methods with computational case studies, which utilize a large volume of quantitative big data.

The results of this study suggest that managers must ensure that the resources within and outside organizations are loosely connected and are readily available to be mobilized for supporting business model innovation. To enable this, managers must prepare the required resources in advance.

The current findings add to a growing body of literature on business model innovation and digital technologies. In particular, this study describes the process of how a traditional firm from a least developed country pursues business model innovation with the support of digital technologies.

The Agri-Food supply chain (AFSC) conventionally suffers from multifaceted transparency, integration, traceability, product quality, and many more. Recently, various digital technologies have emerged, which reflect the potential to address the majority of such concerns. This chapter is an effort toward developing a vision for the future of the agri-food supply chain through digitalization. The technologies prominently covered in the chapter are the internet of things (IoT), blockchain, and artificial intelligence (AI). Different challenges the agri-food supply chain participants perceived in implementing digital technologies were identified through literature review and primary survey. The significant challenges are trained workforce, funds availability, and clarity on economic gains from digitalisation. In conclusion, few strategies toward the implementation of digital technologies in agri-food supply chains are discussed.