a b s t r a c tThis paper is concerned with global shifts in innovation power. It shows that Brazil and India are accumulating significant innovation capabilities. Most explanations concentrate on factors within these rising powers. This paper concentrates on explanatory factors which have their origin in the old powers (Europe and USA). In order to understand the build-up of innovation capabilities in Brazil and India, it examines their linkages with firms in Europe and USA, concentrating on the value chains which connect them. It shows how the organisational decomposition of the innovation process emanating from the old powers contributes directly and indirectly to the build-up of innovation capabilities in the new powers. The empirical evidence comes from the Brazilian auto and the Indian software industry and the value chains which link them to the United States and Germany. Two very different industries show a core of common findings on processes which contribute to building advanced innovation capabilities in India and Brazil.

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Business model innovation is considered key for organizations to achieve sustainability. However, there are many problems involving the operationalization of business model innovation. We used a design science methodology to develop an artifact to assist business model innovation efforts. The artifact uses performance measurement indicators of the company's business model, which are powered by Big Data analytics to endow customer-driven business model innovation. Then, we applied the artifact in a critical case study. The selected company is a fashion ecommerce that proposes a vegan and sustainable value using recycled plastic bottle yarn as raw material, and ensures that no material with animal origin is used. Our findings show that the artifact successfully assists a proactive and continuous effort towards business model innovation. Although based on technical concepts, the artifact is accessible to the context of small businesses, which helps to democratize the practices of business model innovation and Big Data analytics beyond large organizations. We contribute to the business model innovation literature by connecting it to performance management and Big Data and providing paths for its operationalization. Consequently, in practice, the proposed artifact can assist managers dealing with business model as a dynamic element towards a sustainable company.Sustainability 2020, 12, 277 2 of 29 to frequent unsuccessful results about the underlying business logic and, therefore, perpetuating failures that slow down the process of knowledge creation and, thus, undermining possibilities for growth. In this regard, there is a gap between what has been studied in academia and what can be potentially useful for managers willing to innovate their BM [8,9].Thus, BM innovation, validation, and experimentation processes need to be structured and implemented. This is relevant in several industries as the greater frequency of disruption and dislocation are shortening business model life cycles and the sustainability of any specific business model is unclear [10,11]. In a scenario of constant change and need for a better structured management process for BMI, it is important to consider alternatives for testing and experimenting with new alternatives of BM. However, it is not clear in the BMI literature how to do this in the face of the recognized complexity of this process [12,13].Christensen, Bartman, and van Bever [14] argue that there is the need for a systematic mechanism to evaluate the relationship between opportunities and BM. Besides, it is necessary to consider that innovation in BM cannot be generated randomly through guesswork. Nonetheless, Laudien and Daxböck [15] show that, in many cases, innovations in BM are not deliberate strategic options but rather a result of an emergent process, often unplanned. Strategic options, however, are usually related to a company's performance management which means the measurement of a set of indicators on various perspectives of the company [16,17]. In this sense, it seems natura...

This paper is concerned with the development of technological capabilities in the Brazilian subsidiaries of multinational assemblers in Brazil, particularly their involvement in Product Development (PD). The paper addresses the following issues: What roles have vehicle assembly subsidiaries played in building up local technological capabilities in PD in Brazil? How complex are such activities? Are innovative technological capabilities being accumulated as result of the involvement of subsidiaries with PD? Complementary, the paper addresses the question of what are the implications of assembler's PD location strategy for local auto-parts producers. The paper concludes with policy implications and discussion on the benefits of decentralisation.

Summary The global innovation map is changing. Until a few years ago innovation activities were concentrated in the US, Europe and Japan. Not anymore. The rising powers of China, India and Brazil are encroaching on the innovation stronghold of the old powers. This report explores how deep the change goes and how we can explain it. Most of the literature explains this shift in innovation power by concentrating on factors within the rising powers, such as their investment in high‐level education, their low labour cost, their big and expanding internal markets and others. This report concentrates on explanatory factors that emanate from the old powers, notably the organisational decomposition of the innovation process (ODIP). The empirical focus is on the global value chains that link Brazilian auto and Indian software suppliers with lead firms in the US and Europe. The report shows that subsidiaries and independent suppliers in Brazil and India were involved in advanced innovation capabilities: they engaged not only in ‘applied’ development, but also in ‘systemic’ development of products and services. In other words, the build‐up of innovation capabilities goes further than is generally recognised. Most of the report is then concerned with unravelling the processes through which this occurs, showing that ODIP emanating from US and European lead firms has knock‐on effects within Brazil and India. The research also distinguishes between different types of ODIP showing that the biggest organisational and geographical changes occur when innovation and production activities are tightly integrated. The resulting build‐up of innovation capability is only partially visible in conventional R&D indicators. The causal connection between ODIP in the old powers and increase of innovation capabilities in the new powers is not one way. The accumulation of innovation capabilities in the new powers increases the possibilities for further rounds of ODIP in the old powers.