Universal Resource Lifecycle Management

This paper presents a model and a tool that allows Web users to define, execute, and manage lifecycles for any artifact available on the Web. In the paper we show the need for lifecycle management of Web artifacts, and we show in particular why it is important that non-programmers are also able to do this. We then discuss why current models do not allow this, and we present a model and a system implementation that achieves lifecycle management for any URI-identifiable and accessible object. The most challenging parts of the work lie in the definition of a simple but universal model and system (and in particular in allowing universality and simplicity to coexist) and in the ability to hide from the lifecycle modeler the complexity intrinsic in having to access and manage a variety of resources, which differ in nature, in the operations that are allowed on them, and in the protocols and data formats required to access them

Eco Global Evaluation: Cross Benefits of Economic and Ecological Evaluation

This paper highlights the complementarities of cost and environmental evaluation in a sustainable approach. Starting with the needs and limits for whole product lifecycle evaluation, this paper begins with the modeling, data capture and performance indicator aspects. In a second step, the information issue, regarding the whole lifecycle of the product is addressed. In order to go further than the economical evaluations/assessment, the value concept (for a product or a service) is discussed. Value could combine functional requirements, cost objectives and environmental impact. Finally, knowledge issues which address the complexity of integrating multi-disciplinary expertise to the whole lifecycle of a product are discussing.EcoSD NetworkEcoSD networ

LIFE: Costing the digital preservation lifecycle

Having confidence in the permanence of a digital resource requires a deep understanding of the preservation activities that will need to be performed throughout its lifetime, and an ability to plan and resource for those activities. The LIFE (Lifecycle Information for E-Literature) Project1 has advanced understanding of the short and long-term costs in this complex area, facilitating better planning, comparison and evaluation of digital lifecycles. The LIFE Project created a digital lifecycle model based on previous work undertaken on the lifecycles of paper-based materials. It applied the model to real-life collections, modelling their lifecycles and studying their constituent processes. The results were then used to estimate the costs of each element of the digital lifecycle. Organisations can now apply this process, enabling evaluation and refinement of their existing lifecycles and facilitating more effective planning for the preservation of newly acquired content. Phase 2 of the LIFE Project began in February 2007. It is evaluating and refining the models and methodology developed in the first phase of the project and developing lifecycle costings for a range of further case studies

A percolation model of the product lifecycle

The product lifecycle model can be understood as a three-stage model of technological development associated with a particular product technology. In the explorative stage many different designs are developed, in the development stage products become standardized into a dominant design, and in the mature stage only incremental changes occur within the dominant design. Although the product lifecycle model is widely accepted and often applied in empirical research, innovation scholars have failed to develop systematic theoretical models that explain the different stages of technological development along the lifecycle. In this study, an attempt is made to contribute to product lifecycle theory by developing a theoretical model based on percolation dynamics. The model combines the concept of increasing returns to adoption with information diffusion among consumers within social networks. The main contribution of the model is that it replicates the three stages of the product lifecycle as an outcome of a single elementary process. The model also replicates the S-shaped diffusion curve and the occurrence of an industry shakeout.mathematical models, percolation model, diffusion, social networks, product lifecycle, dominant design

A Percolation Model of the Product Lifecycle

The product lifecycle model can be understood as a three-stage model of technological development associated with a particular product technology. In the explorative stage many different designs are developed, in the development stage products become standardized into a dominant design, and in the mature stage only incremental changes occur within the dominant design. Although the product lifecycle model is widely accepted and often applied in empirical research, innovation scholars have failed to develop systematic theoretical models that explain the different stages of technological development along the lifecycle. In this study, an attempt is made to contribute to product lifecycle theory by developing a theoretical model based on percolation dynamics. The model combines the concept of increasing returns to adoption with information diffusion among consumers within social networks. The main contribution of the model is that it replicates the three stages of the product lifecycle as an outcome of a single elementary process. The model also replicates the S-shaped diffusion curve and the occurrence of an industry shakeout.Percolation; diffusion; social networks; product lifecycle; dominant design

Aging, Unemployment, and Welfare in a Life-Cycle Model with Costly Labor Market Search

In recent years, many countries have experienced a significant shift in demographic patterns towards the elderly. This phenomenon poses numerous challenges for the design of public pension programs and labor market policies. To better understand how public policy should be designed in response to a aging workforce, it is imperative to first make an assessment of how the lifecycle affects aggregate labor market activity, and in particular, unemployment. While much work has been done on exploring how the lifecycle influences individual labor market behavior, its impact on aggregate labor market outcomes is far less studied. This paper is an attempt at addressing this lacuna within the context of a lifecycle model with costly search and matching in the labor market. The lifecycle of workers in conjunction with frictions in the labor market produces an environment in which unemployment arises as a natural possibility and both young and old workers find themselves contemporaneously competing for the same jobs. The lifecycle is shown to have significant implications for aggregate labor market activity; it may even be responsible for an inefficient allocation of workers to jobs. Additionally, public policies designed to increase labor market participation among older workers may not necessarily enhance aggregate welfare.search; labor market efficiency; unemployment; lifecycle

Entrepreneurial ecosystems: a dynamic lifecycle model

The concept of entrepreneurial ecosystems has been used as a framework to explain entrepreneurial activities within regions and industrial sectors. Despite the usefulness of this approach, the concept is under-theorized, especially with regard to the evolution of entrepreneurial ecosystems. The current literature is lacking a theoretical foundation that addresses the development and change of entrepreneurial ecosystems over time and does not consider the inherent dynamics of entrepreneurial ecosystems that lead to their birth, growth, maturity, decline, and re-emergence. Taking an industry lifecycle perspective, this paper addresses this research gap by elaborating a dynamic entrepreneurial ecosystem lifecycle model. We propose that an ecosystem transitions from an entrepreneurial ecosystem, with a focus on new firm creation, towards a business ecosystem, with a core focus on the internal commercialization of knowledge, i.e., intrapreneurial activities, and vice versa. Our dynamic model thus captures the oscillation that occurs among entrepreneurs and intrapreneurs through the different phases of an ecosystem’s lifecycle. Our dynamic lifecycle model may thus serve as a starting point for future empirical studies focusing on ecosystems and provide the basis for a further understanding of the interrelatedness between and co-existence of new and incumbent firms

Mapping factors influencing EAI adoption in the local government authorities on different phases of the adoption lifecycle

Several private and public organisations have adopted Enterprise Application Integration (EAI), however, its application in the Local Government Authorities (LGAs) is limited. Although, there exist few EAI adoption models, these models mainly focus on a number of different factors (e.g. benefits, barriers, cost) influencing the decision making process for EAI adoption. Moreover, these models do not illustrate which factor(s) influence the decision making process for EAI adoption on the adoption lifecycle phases. Literature indicates that the adoption process involves a sequence of phases an organisation passes through before taking the decision for adoption. This exemplifies that LGAs may also have to pass through several adoption phases before taking the decision to adopt EAI. However, due to the: (a) multiplicity of diverse EAI adoption factors and (b) not able to recognise which factor(s) influence EAI on adoption lifecycle phases, it may not be easy for LGAs to take decisions to adopt EAI by merely focusing on different factors. This may impede the decision making process for EAI adoption in LGAs. Notwithstanding, the implications of EAI have yet to be assessed, leaving scope for timeliness and novel research. Therefore, it is of high importance to investigate this area within LGAs and result in research that contributes towards successful EAI adoption. This paper makes a step forward as it: (a) investigates and proposes four adoption lifecycle phases, (b) validates the adoption lifecycle phases and (c) mapping the factors influencing EAI adoption on the adoption lifecycle phases, through a case study. Hence, it significantly contributes to the body of knowledge and practice. In doing so, providing sufficient support to the decision makers for speeding up the decision making process for EAI adoption in LGAs

Security-Informed Safety: Supporting Stakeholders with Codes of Practice

Codes of practice provide principles and guidance on how organizations can incorporate security considerations into their safety engineering lifecycle and become more security minded