Innovation incentives and the design of value networks

Participation in value networks is vital for companies as competition has moved increasingly to the level of company networks. Consequently, the growing complexity of the globally networked business environment necessitates the use of supportive tools in the management of network relations. This Dissertation studies the value networks from two perspectives. First, as companies expect a return on their contributions to the network, the Dissertation constructs profit-sharing rules that serve as innovation incentives for the network partners. Second, the Dissertation builds models for the identification of network synergies in partner selection. The developments rest on game theory, transaction cost theory, and multi-criteria decision analysis. The results are normative in that the developed models give insight to decision-makers at three levels: (i) the company decision-maker wants to optimise the company's participation in various networks, (ii) the network decision-maker needs to incentivate the network partners to contribute to the network, and (iii) the policy-maker aims to construct socially optimal instruments for the innovation system. Overall, the use of jointly agreed profit-sharing rules and synergetic partnerships supports the attempts to reduce transaction costs, offering benefits to the firms who participate in value networks

Internet Interconnection Techno-economics: A Proposal for Assured Quality Services and Business Models

The Internet is constructed by means of complex business interconnection agreements among multiple networks. However, the most commonly used agreements do not contain explicit Quality of Service reference. In this study a business rationale for Assured Service Quality (ASQ) inter-network services is presented and potential business models for their realization are proposed and analyzed. It is argued that ASQ products and business models could greatly enhance the health of the Internet interconnection ecosystem. A business model design framework that encompasses the key strategic decisions that would enable ASQ provisioning and generic collaboration is also provided. This framework is then elaborated using a number of off-net content delivery scenarios. Conclusions are hence drawn on the role of ASQ and ASQ-driven business models for the sustainable development of the "Future Internet"

Regulated MAS: Social Perspective

This chapter addresses the problem of building normative multi-agent systems in terms of regulatory mechanisms. It describes a static conceptual model through which one can specify normative multi-agent systems along with a dynamic model to capture their operation and evolution. The chapter proposes a typology of applications and presents some open problems. In the last section, the authors express their individual views on these mattersMunindar Singh’s effort was partially supported by the U.S. Army Research Office under grant W911NF-08-1-0105. The content of this paper does not necessarily reflect the position or policy of the U.S. Government; no official endorsement should be inferred or implied. Nicoletta Fornara’s effort is supported by the Hasler Foundation project nr. 11115-KG and by the SER project nr. C08.0114 within the COST Action IC0801 Agreement Technologies. Henrique Lopes Cardoso’s effort is supported by Fundação para a Ciência e a Tecnologia (FCT), under project PTDC/EIA-EIA/104420/2008. Pablo Noriega’s effort has been partially supported by the Spanish Ministry of Science and Technology through the Agreement Technologies CONSOLIDER project under contract CSD2007-0022, and the Generalitat of Catalunya grant 2009-SGR-1434.Peer Reviewe

A network science approach to analysing manufacturing sector supply chain networks: Insights on topology

Due to the increasingly complex nature of the modern supply chain networks (SCNs), a recent research trend has focussed on modelling SCNs as complex adaptive systems. Despite the substantial number of studies devoted to such hypothetical modelling efforts, studies analysing the topological properties of real world SCNs have been relatively rare, mainly due to the scarcity of data. This paper aims to analyse the topological properties of twenty-six SCNs from the manufacturing sector. Moreover, this study aims to establish a general set of topological characteristics that can be observed in real world SCNs from the manufacturing sector, so that future theoretical work modelling the growth of SCNs in this sector can mimic these observations. It is found that the manufacturing sector SCNs tend to be scale free with degree exponents below two, tending towards hub and spoke configuration, as opposed to most other scale-free networks which have degree exponents above two. This observation becomes significant, since the importance of the degree exponent threshold of two in shaping the growth process of networks is well understood in network science. Other observed topological characteristics of the SCNs include disassortative mixing (in terms of node degree as well as node characteristics) and high modularity. In some networks, we find that node centrality is strongly correlated with the value added by each node to the supply chain. Since the growth mechanism that is most widely used to model the evolution of SCNs, the Barabasi - Albert model, does not generate scale-free topologies with degree exponent below two, it is concluded that a novel mechanism to model the growth of SCNs is required to be developed

Big Data in the construction industry: A review of present status, opportunities, and future trends

© 2016 Elsevier Ltd The ability to process large amounts of data and to extract useful insights from data has revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide assortment of industries, including the construction industry. The construction industry already deals with large volumes of heterogeneous data; which is expected to increase exponentially as technologies such as sensor networks and the Internet of Things are commoditised. In this paper, we present a detailed survey of the literature, investigating the application of Big Data techniques in the construction industry. We reviewed related works published in the databases of American Association of Civil Engineers (ASCE), Institute of Electrical and Electronics Engineers (IEEE), Association of Computing Machinery (ACM), and Elsevier Science Direct Digital Library. While the application of data analytics in the construction industry is not new, the adoption of Big Data technologies in this industry remains at a nascent stage and lags the broad uptake of these technologies in other fields. To the best of our knowledge, there is currently no comprehensive survey of Big Data techniques in the context of the construction industry. This paper fills the void and presents a wide-ranging interdisciplinary review of literature of fields such as statistics, data mining and warehousing, machine learning, and Big Data Analytics in the context of the construction industry. We discuss the current state of adoption of Big Data in the construction industry and discuss the future potential of such technologies across the multiple domain-specific sub-areas of the construction industry. We also propose open issues and directions for future work along with potential pitfalls associated with Big Data adoption in the industry

Application of agent-based modeling and simulation to understanding complex management problems in CEM research

As construction projects have become larger and more complex, they develop different features than smaller or traditional projects, which characterize them as complex systems. Still, Construction Engineering and Management (CEM) researchers have mostly relied on traditional approaches to investigate complex management problems, which might produce misleading results. This paper introduces Agent-Based Modeling and Simulation (ABMS) as a research method, and addresses how it could be applied to CEM research. With an illustrative example of the application of ABMS to CEM research, the theoretical background as well as the design, development, and test processes of ABMS are presented. We then made a recommendation on the promising research subjects in CEM area to which ABMS could be suitably applied

Sustainability of systems interoperability in dynamic business networks

Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e de ComputadoresCollaborative networked environments emerged with the spread of the internet, contributing to overcome past communication barriers, and identifying interoperability as an essential property to support businesses development. When achieved seamlessly, efficiency is increased in the entire product life cycle support. However, due to the different sources of knowledge, models and semantics, enterprise organisations are experiencing difficulties exchanging critical information, even when they operate in the same business environments. To solve this issue, most of them try to attain interoperability by establishing peer-to-peer mappings with different business partners, or use neutral data and product standards as the core for information sharing, in optimized networks. In current industrial practice, the model mappings that regulate enterprise communications are only defined once, and most of them are hardcoded in the information systems. This solution has been effective and sufficient for static environments, where enterprise and product models are valid for decades. However, more and more enterprise systems are becoming dynamic, adapting and looking forward to meet further requirements; a trend that is causing new interoperability disturbances and efficiency reduction on existing partnerships. Enterprise Interoperability (EI) is a well established area of applied research, studying these problems, and proposing novel approaches and solutions. This PhD work contributes to that research considering enterprises as complex and adaptive systems, swayed to factors that are making interoperability difficult to sustain over time. The analysis of complexity as a neighbouring scientific domain, in which features of interoperability can be identified and evaluated as a benchmark for developing a new foundation of EI, is here proposed. This approach envisages at drawing concepts from complexity science to analyse dynamic enterprise networks and proposes a framework for sustaining systems interoperability, enabling different organisations to evolve at their own pace, answering the upcoming requirements but minimizing the negative impact these changes can have on their business environment

ADAPTING THROUGH ORGANIZATIONAL CHANGE IN CAPITAL PROJECTS ORGANIZATIONS

Organizational change can be defined as an alteration of a core aspect of an organization’s operation, structure, or culture. Previous research on organizational change mainly has focused on different types of technical changes, such as alternative project delivery methods and strategies to adopt the design-build approach successfully. Also, previous studies have focused on the project level changes instead of organizational level responses. Here I show using a proposed change model and performing thematic, and analysis, that there exist common responses, and challenges across different types of capital projects organizations studied. The results show that responses to change will differ as a function of the type of change, and the organization’s capabilities and resources. Furthermore, when performing organizational changes, the impact on “people” within the organization should be closely studied and monitored, while taking into account other challenges that might impact the organization. For drivers of change, the main themes were related to Market shift. Clients/owners’ needs, and Sustainability. On the other hand, the organizational responses’ main themes were related to Restructuring, Communication, Partnerships, Training, Recruitment, Internal capabilities, organizational design, and supportive leadership. While for challenges, the main themes were mainly related to Resistance to change, the nature of the industry, and retaining the workforce. One of the major challenges faced during the research was motivating the organizations to participate. Various organizations showed interest and then decided not to join, while others that participated had to review their responses multiple times, and were concerned about revealing their “Trade secrets”. Future work should build on this effort and consider the responses and analyze them as a function of types of change, Moreover, future research should consider asking the interviewees to “weight” the responses to avoid wrong conclusions due to the low number of in-text mentions. This research will help capital project organizations to be aware of the main areas of concern during the journey of change and help them to learn from previous experiences from other organizations

Agent-based manufacturing — review and expert evaluation

The advent of smart manufacturing and the exposure to a new generation of technological enablers have revolutionized the way manufacturing process is carried out. Cyber-Physical Production Systems (CPPS) are introduced as main actors of this manufacturing shift. They are characterized for having high levels of communication, integration and computational capabilities that led them to a certain level of autonomy. Despite the high expectations and vision of CPPS, it still remains an exploratory topic. Multi-Agent Systems (MAS) have been widely used by software engineers to solve traditional computing problems, e.g., banking transactions. Because of their high levels of distribution and autonomous capabilities, MAS have been considered by the research community as a good solution to design and implement CPPS. This work first introduces a collection of requirements and characteristics of smart manufacturing. A comprehensive review of various research applications is presented to understand the current state of the art and the application of agent technology in manufacturing. Considering the smart manufacturing requirements and current research application, a SWOT analysis was formulated which identifies pros and cons of the implementation of agents in industry. The SWOT analysis was further validated by an industrial expert evaluation and the main findings and discussion of the results are presented

The role of supplier relationship platforms in supply chain management- the case of Ecratum

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThe term supply chain can be defined as a process in which suppliers, manufacturers, distributors, and retailers are working together during the whole process of manufacturing the product and delivering it to the end-user. More specifically, all parties are involved in various phases from getting the raw material, transforming this material into a product that will satisfy users' needs and make sure this product reaches the end customer (La Londe & Masters, 1994). However, even though supply chains are created with the main aim to reduce costs, find the right partners to deliver the products and stay competitive on the market, proper management is crucial for the successful operation. Supply chain management (hereinafter: SCM), is all about the right optimization and strategic planning to identify, acquire, gain, allocate and manage all the needed resources that are involved in the workflow of achieving strategic objectives (Flynn, Harding, Lallatin, Pohlig & Sturzl, 2006)