Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business

Marco   Iansiti; Karim R. Lakhani

Article | Harvard Business Review

Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business

Abstract

When Google bought Nest, a maker of digital thermostats, for $3.2 billion just a few months ago, it was a clear indication that digital transformation and connection are spreading across even the most traditional industrial segments and creating a staggering array of business opportunities and threats. The digitization of tasks and processes has become essential to competition. General Electric, for example, was at risk of losing many of its top customers to nontraditional competitors—IBM and SAP on the one hand, big data start-ups on the other—offering data-intensive, analytics-based services that could connect to any industrial device. So GE launched a multibillion-dollar initiative focused on what it calls the industrial internet: adding digital sensors to its machines; connecting them to a common, cloud-based software platform; investing in software development capabilities; building advanced analytics capabilities; and embracing crowd-based product development. With all this, GE is evolving its business model. Now, for example, revenue from its jet engines is tied to reduced downtime and miles flown over the course of a year. After just three years, GE is generating more than $1.5 billion in incremental income with digitally enabled, outcomes-based business models. The company expects that number to double in 2014 and again in 2015.

Keywords: Digital Innovation; digitization; industrial internet; Technological Innovation; Production; Competitive Strategy; Engineering; Aerospace Industry;

Format: Print

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Citation:

Iansiti, Marco, and Karim R. Lakhani. "Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business." Harvard Business Review 92, no. 11 (November 2014): 90–99.

Indigo Agriculture used a digital-enabled research and development (R&D) process to launch its initial product, microbial coatings for agricultural seeds, which increase crop yields while reducing the need for fertilizers. In doing so, the company developed direct relationships with farmers, in contrast to typical agricultural supply chains that use intermediaries. The company then launched a marketplace platform to link growers directly to crop buyers, again disintermediating the market. Indigo Agriculture is now considering launching an initiative to incentivize farmers to engage in regenerative agricultural practices by setting up a carbon market that could pay them for sequestering carbon into their soils. If scaled globally, the idea could sequester as much as one trillion tons (a teraton) of carbon dioxide from the earth’s atmosphere into agricultural soils, but pursing the idea has many risks.

Article | Strategy & Leadership | 2019

Overcoming Cultural Resistance to Open Source Innovation

John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani

Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
Design/methodology/approach: Discussion related to observation, experience and case studies related to incumbent organizations and their efforts to adopt open source models and business tools.
Findings: Companies that let their old culture reject the new risk becoming obsolete if doing so inhibits their rethinking of their future using powerful tools like crowdsourcing, blockchain, customer experience-based connections, integrating workflows with artificial intelligence (AI), automated technologies and digital business platforms. These new ways of working affect how and where work is done, access to information, an organization’s capacity for work and its efficiency. As important as technological proficiency is, managing the cultural shift required to embrace transformative industry architecture – the key to innovating new business models -- may be the bigger challenge.
Research limitations/implications: Findings are based on original research and case studies. Insights are theoretically, based on additional study, interviews, and research, but need to be tested through additional case studies.
Practical implications: The goal is to make the transition more productive and less traumatic for incumbent firms by providing a language and tested methods to help senior leaders use innovative technologies to build on their core even as they explore new business models.
Social implications: This article provides insights that will lead to more effective ideas for helping organizations adapt.
Originality/value: This article is based on original research and case experience. That research and experience has then been analyzed and viewed through the lens of models that have been known to work. The result is original insights and findings that can be applied in new ways to further adoption within incumbent organizations.

Keywords: open source innovation; Organizational Culture; Organizational Change and Adaptation; Business Model; Technological Innovation; Collaborative Innovation and Invention;

Citation:

Winsor, John, Jin Hyun Paik, Michael Tushman, and Karim R. Lakhani. "Overcoming Cultural Resistance to Open Source Innovation." Strategy & Leadership 47, no. 6 (2019): 28–33. View Details

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This research considers the implications of knowledge sharing on knowledge production. We theorize that the “cognitive similarity” between two individuals’ prior knowledge is systematically related to the effectiveness of knowledge sharing on the knowledge production process. To estimate relationships, we designed and executed a natural field experiment at a medical symposium, in which exogenous variation was introduced to provide some of the 15,817 scientist pairs with opportunities for serendipitous, face-to-face encounters. Our data include direct observations of interaction patterns collected using sociometric badges, and detailed longitudinal data on the scientists’ publication records for six years following the symposium. We find both collaborative and competitive effects of cognitive similarity on knowledge production. Interacting scientists were more likely to transfer new knowledge concepts to each other if they shared some similarities in research interests, but were less likely to cite and diffuse each other’s knowledge if they worked in the same field or discipline of study. This suggests that knowledge sharing may boost organizational knowledge production when potential partners share some prior knowledge overlap, but too much overlap may impede it.

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Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business

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