Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm

Industry 4.0 aims at achieving mass customization at a mass production cost. A key component to realizing this is accurate prediction of customer needs and wants, which is however a challenging issue due to the lack of smart analytics tools. This paper investigates this issue in depth and then develops a predictive analytic framework for integrating cloud computing, big data analysis, business informatics, communication technologies, and digital industrial production systems. Computational intelligence in the form of a cluster k-means approach is used to manage relevant big data for feeding potential customer needs and wants to smart designs for targeted productivity and customized mass production. The identification of patterns from big data is achieved with cluster k-means and with the selection of optimal attributes using genetic algorithms. A car customization case study shows how it may be applied and where to assign new clusters with growing knowledge of customer needs and wants. This approach offer a number of features suitable to smart design in realizing Industry 4.0

A Framework for Integrating Transportation Into Smart Cities

In recent years, economic, environmental, and political forces have quickly given rise to “Smart Cities” -- an array of strategies that can transform transportation in cities. Using a multi-method approach to research and develop a framework for smart cities, this study provides a framework that can be employed to: Understand what a smart city is and how to replicate smart city successes; The role of pilot projects, metrics, and evaluations to test, implement, and replicate strategies; and Understand the role of shared micromobility, big data, and other key issues impacting communities. This research provides recommendations for policy and professional practice as it relates to integrating transportation into smart cities

Strategic perspectives on modularity

In this paper we argue that the debate on modularity has come to a point where a consensus is slowly emerging. However, we also contend that this consensus is clearly technology driven. In particular, no room is left for firm strategies. Typically, technology is considered as an exogenous variable to which firms have no choices but to adapt. Taking a slightly different perspective, our main objective is to offer a conceptual framework enabling to shed light on the role of corporate strategies in the process of modularization. From interviews with academic design engineers, we show that firms often consider product architecture as a critical variable to fit their strategic requirements. Based on design sciences, we build an original approach to product modularity. This approach, which leaves an important space for firms' strategic choices, proves also to seize a large part of the industrial reality of modularity. Our framework, which is a first step towards the consideration of strategies within the framework of modularity, gives an account for the diversity of industrial logics related to product modularization.product modularity ; corporate strategy ; technological determinism

Networking Innovation in the European Car Industry : Does the Open Innovation Model Fit?

The automobile industry is has entered an innovation race. Uncertain technological trends, long development cycles, highly capital intensive product development, saturated markets, and environmental and safety regulations have subjected the sector to major transformations. The technological and organizational innovations related to these transformations necessitate research that can enhance our understanding of the characteristics of the new systems and extrapolate the implications for companies as well as for the wider economy. Is the industry ready to change and accelerate the pace of its innovation and adaptability? Have the traditional supply chains transformed into supply networks and regional automobile ecosystems? The study investigates the applicability of the Open Innovation concept to a mature capital-intensive asset-based industry, which is preparing for a radical technological discontinuity - the European automobile industry - through interviewing purposely selected knowledgeable respondents across seven European countries. The findings contribute to the understanding of the OI concept by identifying key obstacles to the wider adoption of the OI model, and signalling the importance of intermediaries and large incumbents for driving network development and OI practices as well as the need of new competencies to be developed by all players.Peer reviewe

Transforming Development? The Role of Philanthropic Foundations in International Development Cooperation

This study by an independent think tank in Germany takes a look at the role of philanthropic foundations on the international development scene

Firm technological responses to regulatory changes: A longitudinal study in the Le Mans Prototype racing

Despite the critical role of regulations on competition and innovation, little is known about firm responses and related effects on performance under regulatory contingencies that are permissive or restrictive. By longitudinally investigating hybrid cars competing in the Le Mans Prototype racing (LMP1), we counter-intuitively suggest that permissive regulations increase technological uncertainty and thus decrease the firms’ likelihood of shifting their technological trajectory, while restrictive regulations lead to the opposite outcome. Further, we suggest that permissive regulations favour firms that innovate their products by sequentially upgrading core and peripheral subsystems, while restrictive regulations—in the long term— favour firms upgrading them simultaneously. Implications for theory and practice are discussed

Modi-nomics and the politics of institutional change in the Indian economy

The term ‘Modi-nomics’ gained widespread publicity across India and resonated internationally during the Bharatiya Janata Party’s (BJP) campaign for the 2014 general elections. Named after the BJP’s star campaigner and then Prime Ministerial candidate, Narendra Modi, Modi-nomics refers to his success as Chief Minister in Gujarat, a state richer, with faster GDP growth, more jobs and industry than most other Indian states. The 2014 campaign promised that the ‘Gujarat model’ of clean government and economic competence, could be replicated across the country. In our paper, we identify the promises and premises behind Modi-nomics. We take stock of claims and criticism, drawing on comparative development statistics to discuss a much-lauded but also highly contested ‘success’ story. To assess whether Modi-nomics is guiding policy we draw upon Douglas North’s new institutionalism. In addition, we use a sociological understanding of institutions to argue that a central component of Modi-nomics is to achieve economic change by altering perceptions and images as well as policy. However, Modi-nomics remains highly contested within India’s domestic political arena and has unleashed other political entrepreneurs drawing on politics of entitlement (the Patel agitation) or religious sensibilities (the beef ban controversy). To gain resilience, Modi-nomics will have to combine ideational and institutional change and to reconcile the tensions arising in the process

DISCOVERING NEW DIGITAL BUSINESS MODEL TYPES – A STUDY OF TECHNOLOGY STARTUPS FROM THE MOBILITY SECTOR

In the 1990s, the broad diffusion of the internet allowed firms such as Amazon, eBay, and Google to invent new digital business models. Since then, research has formalized recurring configurations as digital business model types, still frequently being used to analyze existing business models and develop new ones. Now, the next wave of digital transformation – enabled by ongoing improvements in processing power, the miniaturization of hardware, and ubiquitous wireless connectivity – is again driving innovation. For instance, in the mobility sector, startups such as Uber, Turo, and Streetline have formed business logics that cannot be understood with existing types. Therefore, we identified and formalized new business model configurations by systematically analyzing a comprehensive data set of technology startups from the US mobility sector. We found that, in order to adequately account for the new digital logics, 14 digital business model types must be added to existing collections: app developer, autonomous products/robots manufacturer, data analytics provider, integrator of third-party services, IT-enabled self-service provider, IT-guided service provider, manufacturer of connected physical products, manufacturer of connectivity devices for physical products, mobilized service provider, P2P goods sharing platform, P2P information sharing community, P2P service provision platform, seller of sensor information, and sensor-enabled service innovator

Framing the collaborative economy - Voices of contestation

Within the context of multiple crises and change, a range of practices discussed under the umbrella term of collaborative (or sharing) economy have been gaining considerable attention. Supporters build an idealistic vision of collaborative societies. Critics have been stripping the concept of its visionary potential, questioning its revolutionary nature. In the study, these debates are brought down to the local level in search for common perceptions among the co-creators of the concept in Vienna, Austria. Towards this aim a Q study is conducted, i.e. a mixed method enabling analyses of subjective perceptions on socially contested topics. Four framings are identified: Visionary Supporters, Market Optimists, Visionary Critics, and Skeptics, each bringing their values, visions, and practical goals characteristic of different understanding of the collaborative economy. The study questions the need for building a globally-applicable definition of the concept, calls for more context-sensitivity, exploratory studies, and city-level multi-stakeholder dialogues