Improving access to health services – Challenges in Lean application

Purpose: Healthcare organisations face significant productivity pressures and are undergoing major service transformation. This paper serves to disseminate findings from a Lean healthcare project using a NHS Single Point of Access environment as the case study. It demonstrates the relevance and extent that Lean can be applied to this type of healthcare service setting. Design/methodology/approach: Action research was applied and Lean tools used to establish current state processes, identify wastes and develop service improvement opportunities based upon defined customer values. Findings: The quality of referral information was found to be the root cause of a number of process wastes and causes of failure for the service. Understanding the relationship and the nature of interaction between the service‟s customer/supplier led to more effective and sustainable service improvement opportunities and the co-creation of value. It was also recognised that not all the Lean principles could be applied to this type of healthcare setting. Practical implications: The study is useful to organisations using Lean to undertake service improvement activities. The paper outlines how extending the value stream beyond the organisation to include suppliers can lead to improved co-production and generation of service value. Originality/value: The study contributes to service productivity research by demonstrating the relevance and limitations of Lean application in a new healthcare service setting. The case study demonstrates the practical challenges of implementing Lean in reciprocal service design models and adds validity to existing contextual models

Higher-Order Process Modeling: Product-Lining, Variability Modeling and Beyond

We present a graphical and dynamic framework for binding and execution of business) process models. It is tailored to integrate 1) ad hoc processes modeled graphically, 2) third party services discovered in the (Inter)net, and 3) (dynamically) synthesized process chains that solve situation-specific tasks, with the synthesis taking place not only at design time, but also at runtime. Key to our approach is the introduction of type-safe stacked second-order execution contexts that allow for higher-order process modeling. Tamed by our underlying strict service-oriented notion of abstraction, this approach is tailored also to be used by application experts with little technical knowledge: users can select, modify, construct and then pass (component) processes during process execution as if they were data. We illustrate the impact and essence of our framework along a concrete, realistic (business) process modeling scenario: the development of Springer's browser-based Online Conference Service (OCS). The most advanced feature of our new framework allows one to combine online synthesis with the integration of the synthesized process into the running application. This ability leads to a particularly flexible way of implementing self-adaption, and to a particularly concise and powerful way of achieving variability not only at design time, but also at runtime.Comment: In Proceedings Festschrift for Dave Schmidt, arXiv:1309.455

Composition and Self-Adaptation of Service-Based Systems with Feature Models

The adoption of mechanisms for reusing software in pervasive systems has not yet become standard practice. This is because the use of pre-existing software requires the selection, composition and adaptation of prefabricated software parts, as well as the management of some complex problems such as guaranteeing high levels of efficiency and safety in critical domains. In addition to the wide variety of services, pervasive systems are composed of many networked heterogeneous devices with embedded software. In this work, we promote the safe reuse of services in service-based systems using two complementary technologies, Service-Oriented Architecture and Software Product Lines. In order to do this, we extend both the service discovery and composition processes defined in the DAMASCo framework, which currently does not deal with the service variability that constitutes pervasive systems. We use feature models to represent the variability and to self-adapt the services during the composition in a safe way taking context changes into consideration. We illustrate our proposal with a case study related to the driving domain of an Intelligent Transportation System, handling the context information of the environment.Work partially supported by the projects TIN2008-05932, TIN2008-01942, TIN2012-35669, TIN2012-34840 and CSD2007-0004 funded by Spanish Ministry of Economy and Competitiveness and FEDER; P09-TIC-05231 and P11-TIC-7659 funded by Andalusian Government; and FP7-317731 funded by EU. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

Organizational Climate as a Predictor of Employee Job Satisfaction:Evidence from Covenant University

The study aim to explore organizational climate as a predictor of employee job satisfaction of academic staff from a private Nigerian University. The study of the antecedents of job satisfaction is important because of the role it plays in job satisfaction of employees which in turn affects organizational productivity. Data were collected from three hundred and eighty-four academic staff of the university with the aid of questionnaire out of which a total of two hundred and ninety-three questionnaires were returned fully and appropriately filled. Three hypotheses were tested and the results of the finding showed a significant positive relationship between these two variables. Thus, the study then paves way into other research opportunities in the field to stretch the depth of knowledge into public universities- i.e. the federal and state universities. It also serves as eye opener to conduct the research into other zones in Nigeria to see whether their organizational climate in relation to job satisfaction of the academics in those places will differ from what we have in the south-west Nigeria. Therefore, apart from confirming a theoretical proposition, the findings of this study are likely to have significant practical value

Strategic I/O Psychology and the Role of Utility Analysis Models

In the 1990’s, the significance of human capital in organizations has been increasing,and measurement issues in human resource management have achieved significant prominence. Yet, I/O psychology research on utility analysis and measurement has actually declined. In this chapter we propose a decision-based framework to review developments in utility analysis research since 1991, and show that through lens of this framework there are many fertile avenues for research. We then show that both I/O psychology and strategic HRM research and practice can be enhanced by greater collaboration and integration, particularly regarding the link between human capital and organizational success. We present an integrative framework as the basis for that integration, and illustrate its implications for future research

Risk management in a mega-project: the Universal EXPO 2015 case

The paper analyses the literature on risk management in mega-projects suggesting possible mitigation actions to be considered in the stakeholders' management. EXPO 2015 represents a perfect project to understand the strength of a rigorous methodological approach to uncertainty and the need for a mature consciousness at managerial level on these topics. Analysing real available data on this project, the number of visitors appears overestimated, so, by adopting a framework, called SHAMPU, the paper quantifies the relative impact and provides possible mitigation actions. Practical actions crossing the risk management phases in mega projects proposed by literature are suggested in the conclusions

Outline of the Finnish system of certified carbon footprints of food products

The basic structure of a system called Certified Footprints of Products (CFP system) is outlined in this discussion paper. The CFP system could produce strict and reliable data needed for generating product-oriented carbon footprints in Finland. Central parts of the CFP system are a national CFP programme, product category rules (PCRs), a chain or actor-wise monitoring plan, validation of the monitoring plan, and reporting and verification of data, and an ICT-system to support data sharing. The system is designed around activity-based monitoring data, and every actor would be responsible for data on its own activities. Linkages to existing environmental management systems are taken into account. The CFP system is still just a theoretical structure. It needs further development prior to full-scale introduction. For the food sector, a new architecture for data acquisition and quality assurance, development of existing mechanisms and consolidation of them in the CFP system are needed. Additional research is needed regarding emissions from agricultural production