In this essay, we argue that pervasive digitization gives birth to a new type of product architecture: the layered modular architecture. The layered modular architecture extends the modular architecture of physical products by incorporating four loosely coupled layers of devices, networks, services, and contents created by digital technology. We posit that this new architecture instigates profound changes in the ways that firms organize for innovation in the future. We develop (1) a conceptual framework to describe the emerging organizing logic of digital innovation and (2) an information systems research agenda for digital strategy and the creation and management of corporate information technology infrastructures.

Prior research documents the significance of using platform boundary resources (e.g. application programming interfaces) for cultivating platform ecosystems through third-party development. However, there are few, if any, theoretical accounts of this relationship. To this end, this paper proposes a theoretical model that centres on two drivers behind boundary resources design and useresourcing and securing -and how these drivers interact in third-party development. We apply the model to a detailed case study of Apple's iPhone platform. Our application of the model not only serves as an illustration of its plausibility but also generates insights about the conflicting goals of third-party development: the maintenance of platform control and the transfer of design capability to third-party developers. We generate four specialised constructs for understanding the actions taken by stakeholders in third-party development: self-resourcing, regulationbased securing, diversity resourcing and sovereignty securing. Our research extends and complements existing platform literature and contributes new knowledge about an alternative form of system development.

Sample Cases Contextual Conditions Architecture: tightly coupled (0); loosely coupled (1) Control: centralized (0); decentralized (1) Mechanisms Adoption (A): unactualized (0); actualized (1) Innovation (I): unactualized (0); actualized (1) Scaling (S): unactualized (0); actualized (1) Outcome: unsuccessful (0); successful (1) Comb: combination of mechanisms No Case Contextual Conditions Mechanisms Outcome Comb Reference Arc Con A I S

Please scroll down for article-it is on subsequent pagesWith 12,500 members from nearly 90 countries, INFORMS is the largest international association of operations research (O.R.) and analytics professionals and students. INFORMS provides unique networking and learning opportunities for individual professionals, and organizations of all types and sizes, to better understand and use O.R. and analytics tools and methods to transform strategic visions and achieve better outcomes. For more information on INFORMS, its publications, membership, or meetings visit Abstract. In the last few years, leading-edge research from information systems, strategic management, and economics have separately informed our understanding of platforms and infrastructures in the digital age. Our motivation for undertaking this special issue rests in the conviction that it is significant to discuss platforms and infrastructures concomitantly, while enabling knowledge from diverse disciplines to cross-pollinate to address critical, pressing policy challenges and inform strategic thinking across both social and business spheres. In this editorial, we review key insights from the literature on digital infrastructures and platforms, present emerging research themes, highlight the contributions developed from each of the six articles in this special issue, and conclude with suggestions for further research.

Digital ventures, start-ups growing by drawing on and adding to digital infrastructures, can scale their business at an unprecedented pace. We view such rapid scaling as a generative process by which a venture's user base increases significantly between two points in time through digital innovation. We studied WeCash, a Chinese digital venture, nearly doubling its user base monthly, to learn more about this generative process. We trace three contingent mechanisms underpinning rapid scaling: data-driven operation, instant release, and swift transformation. We explain these mechanisms and how they interact in the rapid scaling of digital ventures. The research offers an agency perspective on scaling of digital ventures that speaks to the digital innovation literature.