CREATING AN INNOVATION OPPORTUNITY SPACE FOR BROADACRE SMART FARMING: A CASE STUDY OF AUTONOMOUS FARM EQUIPMENT

Advances in digital technologies are transforming the agriculture and agri-food system. The technological changes are represented in many forms, ranging from software-based prescriptions for optimal rate application of farm inputs, advanced imagery of fields and plants collected by sensors, satellites and drones, to new forms of human-to-machine interactions and machine learning This thesis is a case study of one type of a smart farming innovation, a field robot., originating from a small-to-medium sized enterprise (SME) that designs and manufacturers machinery used in broadacre, conservation tillage farming. The innovation, known as DOT™, is an entrepreneur’s response to problems in the agriculture industry, and a solution to a critical constraint of labour shortages in the sector. By gathering qualitative data through interviews, news items and academic publications, observing the farming community’s engagement with digital technology innovation at farm show, and applying the Innovation Opportunity Space (IOS) analytical framework, this study identified that an autonomous DOT™ offers a solution for farming problems. Other firms are incorporating the DOT™ technology into their manufacturing operations through licensing agreements and early farmer adoption is positive. The process of innovation was based on synthesis of tacit knowledge (experience-based knowledge of farming and agribusiness) and codified knowledge (drawing on computer programing), while public policy facilitated the hiring of trained university students who remain with the SME as advocates for smart farming. There remain some gaps: public policy for safe deployment of smart farming innovation is lagging behind invention and commercialization; new business models for manufacture and commercialization of high-tech equipment are just emerging and data ownership and control remains unresolved; and evidence of the value of smart farming technologies to farmers and the larger social system remains scant

A System Dynamics Approach to Quantitatively Analyze the Effects of Mobile Broadband Ecosystem's Variables on Demands and Allocation of Wireless Spectrum for the Cellular Industry

Usage of cellular networks for data services is growing rapidly worldwide as more consumers browse the Internet, check emails, and watch videos on smartphones and tablets. To ensure that sufficient capacity is available on cellular and wireless networks, current utilization of the radio spectrum, an encumbered and finite resource, needs to be evaluated. Spectrum is usually made available by governmental regulatory bodies through auctions. From a policy and regulatory perspective, auctions of spectrum try to ensure the efficient use of spectrum by allocating it to the entities that value it the most. Auctions also generate revenues for governments. Cellular operators worldwide have been asking for allocation of more spectrum for cellular networks to support the growing demand of mobile data services. Perception of radio spectrum scarcity has been linked, sometimes linearly, to the higher demand of mobile data services and the greater market penetration of mobile broadband devices. To validate the "spectrum scarcity" notion, various elements of the wireless ecosystem, including network infrastructure, spectral efficiency of mobile technologies, and data offloading via unlicensed spectrum need to be appraised; and their effects on "spectrum utilization" need to be understood. Research presented here takes a system dynamics approach to study dynamic behavior among these elements and their effects on usage of spectrum through computer-based simulation. System dynamics provides a powerful means to model a complex system comprised of dependent and independent variables. With the help of the Causal Loop Diagram, we explain the research framework and formulate the hypotheses. A stock-and-flow model-based simulation is employed for hypotheses testing to justify the need for more spectrum. Dynamic behavior among different variables of the wireless ecosystem is also analyzed through this simulation. The study conducted here also explains why system dynamics appears to be a comprehensive approach to address the wireless industry's spectrum scarcity and utilization problem. Simulation results show that mobile data demand can exceed the current capacity of cellular networks causing a spectrum deficit if apt planning of spectrum policies and appropriate infrastructure investment are delayed

PROCEEDINGS 5th PLATE Conference

The 5th international PLATE conference (Product Lifetimes and the Environment) addressed product lifetimes in the context of sustainability. The PLATE conference, which has been running since 2015, has successfully been able to establish a solid network of researchers around its core theme. The topic has come to the forefront of current (political, scientific & societal) debates due to its interconnectedness with a number of recent prominent movements, such as the circular economy, eco-design and collaborative consumption. For the 2023 edition of the conference, we encouraged researchers to propose how to extend, widen or critically re-construct thematic sessions for the PLATE conference, and the paper call was constructed based on these proposals. In this 5th PLATE conference, we had 171 paper presentations and 238 participants from 14 different countries. Beside of paper sessions we organized workshops and REPAIR exhibitions

Toward a theory of the evolution of business ecosystems : enterprise architectures, competitive dynamics, firm performance & industrial co-evolution

Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2009.Cataloged from PDF version of thesis. Vita.Includes bibliographical references (v. 4, p. 698-745).This dissertation contributes toward the building of a theory of the evolution of business ecosystems. In the process, it addresses a question that has been posed by evolutionary theorists in the economics and sociology literatures for decades: "Why do firms in the same industry vary systematically in performance over time?" Seeking a systematic explanation of a longitudinal phenomenon inevitably requires characterizing the evolution of the industrial ecosystem, as both the organization (firm) and its environment (industry, markets and institutions) are co-evolving. This question is therefore explored via a theoretical sample in three industrial ecosystems covering manufacturing and service sectors, with competitors from the US, Europe and Japan: commercial airplanes, motor vehicles and airlines. The research is based primarily on an in depth seven-year, multi-level, multi-method, field-based case study of both firms in the large commercial airplanes industry mixed duopoly as well as the key stakeholders in their extended enterprises (i.e. customers, suppliers, investors and employees). This field work is supplemented with historical comparative analysis in all three industries, as well as nonlinear dynamic simulation models developed to capture the essential mechanisms governing the evolution of business ecosystems.(cont.) A theoretical framework is developed which endogenously traces the co-evolution of firms and their industrial environments using their highest-level system properties of form, function and fitness (as reflected in the system sciences of morphology, physiology and ecology), and which embraces the evolutionary processes of variation, selection and retention. The framework captures the path-dependent evolution of heterogeneous populations of enterprise architectures engaged in symbiotic inter-species competition and posits the evolution of dominant designs in enterprise architectures that oscillate deterministically and chaotically between modular and integral states throughout an industry's life-cycle. Architectural innovation - at the extended enterprise level - is demonstrated to contribute to the failure of established firms, with causal mechanisms developed to explain tipping points.by Theodore F. Piepenbrock.Ph.D