The increasing multifunctionality of Agricultural Raw Materials: Three dilemmas for Innovation and Adoption

Agricultural raw materials are increasingly being used for multiple industries or sectors beyond the traditional fiber and nutrition industries: energy in the form of ethanol and biodiesel, industrial products such as polymers and bio-based synthetic chemicals and fibers, and pharmaceutical/health products such as functional foods, growth hormones and organ transplants. A combination of the new science of biotechnology, the new potential end uses of the products of that science and the broadened social/public goals that these products can respond to surfaces at least three fundamental challenges or dilemmas: (1) the competing goals dilemma, (2) the incumbent vs. new entrant competition dilemma, and (3) the industry boundaries dilemma. This paper reviews the innovation and adoption research related to renewables and the bio-economy, and then frames the three dilemmas with the objective of identifying important research issues and the conceptual frameworks that might be useful to analyze these issues

Overcoming Barriers to Innovation in Food and Agricultural Biotechnology

The food and agricultural biotechnology (FAB) sector is poised to respond to some of society\u27s most pressing challenges, including food security, climate change, population growth, and resource limitation. However, to realize this promise, substantial barriers to innovation must be overcome. Here, we draw upon industry experience and innovation management literature to analyze FAB innovation challenges, as well relevant frameworks for their resolution. In doing so, we identify two major FAB innovation challenges: specialized adoption uncertainty, and complex product-market fit across convergent value chains. We propose that these innovation challenges may be overcome by 1) prioritizing the establishment of organizational and social technology legitimacy, and 2) leveraging technology-market matching methods and open innovation practices

Start-ups as technology life cycle indicator for the early stage of application: An analysis of the battery value chain

© 2018 Elsevier Ltd Insights from battery research and development (R&D) need to be transferred into industrial application to create innovations and thus foster e.g. electro mobility. In terms of battery technology transfer, the early phase of application is particularly challenging due to the close intertwining between R&D and application. Therefore, the present study introduces start-ups as an additional indicator to capture the transition from science to industry within the technology life cycle. The findings show that despite highly dynamic R&D activities, technology transfer is only taking place on a very limited level. Surprisingly, start-ups focus on incremental improvements of existing technologies instead of introducing radical breakthrough-technologies. An analysis of the battery value chain reveals that opportunities for start-ups are rather located downstream in the value chain when integrating cells to battery systems and developing applications relying on innovative battery technologies. The findings contribute to the area of technology life cycle analysis explicitly using start-up companies as additional indicator for the critical transfer step from R&D to application. In a similar vein, technology forecasting literature, which is to date mainly focused on R&D, is expanded by a more application-centred perspective that allows identifying transfer opportunities along the technology value chain

A new framework to assess industry convergence in high technology environments

© 2018 Elsevier Ltd The process of convergence, from science and technology convergence to that of markets as well as entire industries can be witnessed in a range of different high technology environments such as IT and NanoBiotech. Although this phenomenon has been subject of analysis in an increasing number of studies, the notion of industry convergence – the final step of a full convergence process - still lacks a common definition. The missing conceptual definition of what industry convergence really is and how it can be assessed impedes both analyses and monitoring - let alone its anticipation. To address the missing conceptual definition of the final step in convergence, this paper seeks to develop a framework based on novel indicators that enable identifying and monitoring trends of industry convergence in high technology environments. Building on indicators in the domain of collaboration, a framework, which distinguishes different stages and types of industry convergence is developed. Subsequently, the newly developed framework is empirically illustrated in the area of stationary energy storage based on publicly available data. To this end, the full text database Nexis is used to conduct a search in news reports on collaborations in the domain of stationary energy storage. The study contributes to the growing body of convergence literature by providing a novel framework allowing the identification of not only industry convergence as the final step of the convergence process but also the classification of its type. Practical implications include an orientation for companies in converging environments on when and how to close the resulting technology and market competence gaps

Exploring the research landscape of convergence from a TIM perspective: A review and research agenda

Convergence at the level of science, technology, market or industry can increasingly be witnessed in a number of empirical settings. It is currently seen as one of the most important influence factors on and trigger for developing innovation strategies. This empirical relevance is mirrored by a surge in publications. Therefore, motivated by a highly dynamic but at the same time rather unstructured body of literature, this review offers a systematic and critical analyses of studies related to Technology and Innovation Management (TIM) research that address convergence from a processual perspective. Four major strands can be identified: (1) drivers and patterns of convergence, (2) anticipation of convergence, (3) strategic reactions to convergence, and (4) convergent products. A key finding of this review is that most contributions have been inward oriented, i.e. understanding the dynamics of convergence. A consequence of this inner focus is that the scientific discourse on convergence has to some degree unfolded independently from its theoretical underpinnings. To this end, this review provides a comprehensive framework of convergence research, including current challenges and emerging themes to address these challenges. The resulting research agenda serves as a starting point to inspire future studies of relevance for theory and conceptual development as well as managerial practice

Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

Future Agribusiness Challenges: Strategic Uncertainty, Innovation and Structural Change

The global food and agribusiness industry is in the midst of major changes, and the pace of change seems to be increasing. These changes suggest three fundamental critical future issues for the sector: 1) decisions must be made in an environment of increasing risk and uncertainty, 2) developing and adopting technology and new innovations is critical to long-term financial suc-cess, and 3) responding to changes in industry structure and the competitor landscape and indus-try boundaries is essential to maintain market position. The focus of this paper is the synopsis and application of conceptual/theoretical frameworks that can be used in managerial decision making and analyzing the implications and consequences of strategic uncertainty, innovation and changing industry structur

Innovation in Food and Agriculture

Innovation means change. In a case of food and agriculture, it can be the application of new proposals for raw material processing technology, packaging of products, new food additives, and new agricultural technologies. Innovation may lead to reducing or preventing adverse changes caused by microorganisms, oxidation of food ingredients, and enzymatic and nonenzymatic reactions, as well as ensuring safety by inhibiting the development of some pathogenic microorganisms. Change can also provide healthier and more nutritious food. The food is tastier because of the prevention of adverse qualitative changes in food composition, including organoleptic changes, and changes in the perception and pleasures from eating food. In addition, crops can be more abundant thanks to reduced exposure to diseases, adapted agricultural treatments, or higher resistance to changing weather conditions