485,332 research outputs found

    A Study Of Virtuous Cycle Of Service Participation On Crowdsourcing Platforms

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    Competition has undoubtedly increased substantially over the last decade for several reasons. The Internet has been far and away the largest contributor to the rise in competitive markets due to establishing an online business has lower operating costs and greater flexibility. Companies must have internet business ideas to survive to stay competitive in today’s markets. Crowdsourcing is a phenomenon receiving highly attention both inside and outside of academia. With the rapid development of Web2.0 and social media, an emerging business model like a raging fire impacts on the market: a crowdsourcing platform. Crowdsourcing platforms provide a good environment to fulfill people’s needs and seize value from providing products and services. It is important to understand what drives people to deliver and capture values from a crowdsourcing platform. The purpose of this paper is to explore how service participation works on successful crowdsourcing platforms in their cycles. We focus on why do participants (both sides of supply and demand) are willing to join into the platform to provide services and request services, finding out their virtuous cycles on the platforms in different applications. This study is the first of its kind to explore how service participation works on successful crowdsourcing platforms in their cycles. We will use a qualitative multiple case study, which facilitated an exploration of the phenomenon in an area that has received little theoretical development and allowed us to study the cycle of service participation on crowdsourcing platform in a real-life context. The results may reveal us some significant driving factors on why people are willing to provide and request services on crowdsourcing platforms and what important strategies should be taken while running a crowdsourcing platform. This not only gives us a more broaden view of crowdsourcing and platform operating, but also provides companies, which use crowdsourcing platform to run their business, a more realistic decision making references

    An Exploration of Perceived Risk in Young Chinese Consumers' Internet Banking Services Decision Making

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    This thesis explores how perceived risk, which has been primarily developed in Western contexts, may help understand consumers' action in relation to the Chinese Internet banking services market. This market is new and acknowledged as having great potential, but there is insufficient information regarding potential consumers and their perceptions or decision-making. The theory of perceived risk is a key construct influencing Western consumers' decision making; whether it is applicable in the current context is unknown. A wider customer perspective is therefore important to improve both our understanding of perceived risk theory and its usefulness in the Chinese Internet banking services market. The thesis reviews the major research perspectives on perceived risk within consumer behaviour literature. It provides a comprehensive understanding of the concept itself, to identify research gaps, and also develops a research model to evaluate consumers' risk perception within the context of Chinese Internet banking services. This research is conducted through the application of a critical realist approach, utilizing mixed methods. This approach enables the research to address a main controversy in the perceived risk field by evaluating the two common measurement models. It also develops an understanding of Chinese consumers' risk perceptions and how consumers' perceptions are formed and influenced by considering a range of contextual issues. This approach highlights the importance of obtaining social and cultural meanings to understand the measurement of risk perception- this is seldom addressed in the majority of perceived risk research. Results are thoroughly analysed, compared and contrasted to relevant Western research. Perceived risk, as a construct, is meaningful in helping to understand potential Chinese Internet banking services users. The principle risk dimensions identified in this research are consistent with those detailed in Western studies. However, the underlying relationships between the risk variables are different. Such differences can be attributed to the specific The measurement of risk is best operationalised through the application of one of the commonly used models - the multiplicative. This model produces results that are more consistent with the qualitative patterns derived from the application of mixed methods research. Whilst this research advocates the use of the multiplicative model, it also contends that future researchers should evaluate both common models- as the impact of context needs to be addressed sensitively,and this would also be consistent with the application of a critical realist perspective. Further, when considering perceived risk measurement, this research has found that the application of multiple variables is useful to test validity and reliability. These two issues are seldom considered or evaluated in previous perceived risk studies. This application also lends itself to the development of greater depth in data analysis, and therefore provides a more specific perspective to understand risk perceptions through detailed measurement. Future research in perceived risk should also address risk evaluation by considering the purchase stages, as consumers risk perceptions may be influenced and subject to change at different stages. Without such an approach results generated may be misleading, and may not provide an adequate basis for understanding consumers and developing appropriate marketing strategies to meet these concerns

    Automation Factors Influencing the Operation of IoT in Health Institutions: A Decision Support Methodology

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    Health institutions are adopting new technologies for their processes through automation by means of the concept of "Internet of Things" (IoT). Hence, offering innovative tools, applications and technology for the collection of key data and information, which is then integrated and consolidated, covering the different systems and their collaborators. The necessity of receiving quality medical services is essential in the public Policy of any country. The increasing demand for having an adequate number of medical specialists, pharmacies and medications stock, dental and mental health coverage and other, together with the minimization of the waiting list and patient care time have been a crucial concern. Under this context, it is valuable to redesign the processes planning and its coordination through the use of Information & Communications Technology (ICT) and IoT that unifies the systems. Based on previous research, the general purpose is to generate a system model to examine healthcare quality of service and corroborate its effectiveness in a real environment. The aim of this paper focus on the development of a decision support model to define key areas where the inclusion of IoT would sustain the efficiency in health care service. The research methodology is based on case study, integrating planning processes, data analysis, scoring method that interacts with multicriteria approach. A pilot case study is pursued in health institutions in Chile, determining critical factors and the current automation level system appraisal to generate actions of improvement in processes that show poor service quality. The results give rise to the development of an investment plan that can be converted into action plans for a health institution

    Exploration of the needs of South African oncology nurses for current awareness services available through the internet

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    INTRODUCTION: Reports on an exploratory study on the information needs of a small group of South African oncology nurses. METHOD: Individual questionnaires, focus group interviews, and semistructured interviews were used for data collection from a convenience sample of nursing staff, an oncologist and an oncology social worker. Analysis. A qualitative analysis was done; recorded interviews were analysed to identify main themes. RESULTS: Tasks are perceived as not information intensive with limited opportunities for decision-making regarding patient care. Although emotion, stress and underlying anxiety feature strongly in daily tasks, these are not linked to information needs. Limited interest in current awareness services is influenced by working conditions, lack of access to information resources, lack of computer skills and experience in using the Internet, lack of motivation to use current awareness services, expectations and support from management, and the impact of specific tasks and responsibilities. CONCLUSIONS: Task-based information seeking models, context (organizational and health care cultures), motivation for personal development, and the impact of social organization in health care work and emotion and anxiety require further exploration. Suggestions for the development of a model of information behaviour and further theoretical grounding are offered.http://informationr.net/ir

    Real-Time Context-Aware Microservice Architecture for Predictive Analytics and Smart Decision-Making

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    The impressive evolution of the Internet of Things and the great amount of data flowing through the systems provide us with an inspiring scenario for Big Data analytics and advantageous real-time context-aware predictions and smart decision-making. However, this requires a scalable system for constant streaming processing, also provided with the ability of decision-making and action taking based on the performed predictions. This paper aims at proposing a scalable architecture to provide real-time context-aware actions based on predictive streaming processing of data as an evolution of a previously provided event-driven service-oriented architecture which already permitted the context-aware detection and notification of relevant data. For this purpose, we have defined and implemented a microservice-based architecture which provides real-time context-aware actions based on predictive streaming processing of data. As a result, our architecture has been enhanced twofold: on the one hand, the architecture has been supplied with reliable predictions through the use of predictive analytics and complex event processing techniques, which permit the notification of relevant context-aware information ahead of time. On the other, it has been refactored towards a microservice architecture pattern, highly improving its maintenance and evolution. The architecture performance has been evaluated with an air quality case study

    Capability driven development: an approach to designing digital enterprises

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    The final publication is available at Springer via http://dx.doi.org/10.1007/s12599-014-0362-0[EN] The need for organizations to operate in changing environments is addressed by proposing an approach that integrates organizational development with information system (IS) development taking into account changes in the application context of the solution. This is referred to as Capability Driven Development (CDD). A meta-model representing business and IS designs consisting of goals, key performance indicators, capabilities, context and capability delivery patterns, is being proposed. The use of the meta-model is validated in three industrial case studies as part of an ongoing collaboration project, whereas one case is presented in the paper. Issues related to the use of the CDD approach, namely, CDD methodology and tool support are also discussed.This work has been partially supported by the EU-FP7 funded project no: 611351 CaaS - Capability as a Service in Digital Enterprises.Berzisa, S.; Bravos, G.; Cardona Gonzalez, T.; Czubayko, U.; España, S.; Grabis, J.; Henkel, M.... (2015). Capability driven development: an approach to designing digital enterprises. Business and Information Systems Engineering. 57(1):15-25. https://doi.org/10.1007/s12599-014-0362-0S1525571ArchiMate (2013) An enterprise modeling language from the Open Group. http://www.opengroup.org/archimate/ . Accessed 3 Dec 2014Asadi M, Ramsin R (2008) MDA-based methodologies: an analytical survey. In: Proceedings Model driven architecture – foundations and applications (ECMDA-FA 2008), LNCS 5095, pp 419–431Barney JB (1991) Firm resources and sustained competitive advantage. 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    Innovative public governance through cloud computing: Information privacy, business models and performance measurement challenges

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    Purpose: The purpose of this paper is to identify and analyze challenges and to discuss proposed solutions for innovative public governance through cloud computing. Innovative technologies, such as federation of services and cloud computing, can greatly contribute to the provision of e-government services, through scaleable and flexible systems. Furthermore, they can facilitate in reducing costs and overcoming public information segmentation. Nonetheless, when public agencies use these technologies, they encounter several associated organizational and technical changes, as well as significant challenges. Design/methodology/approach: We followed a multidisciplinary perspective (social, behavioral, business and technical) and conducted a conceptual analysis for analyzing the associated challenges. We conducted focus group interviews in two countries for evaluating the performance models that resulted from the conceptual analysis. Findings: This study identifies and analyzes several challenges that may emerge while adopting innovative technologies for public governance and e-government services. Furthermore, it presents suggested solutions deriving from the experience of designing a related platform for public governance, including issues of privacy requirements, proposed business models and key performance indicators for public services on cloud computing. Research limitations/implications: The challenges and solutions discussed are based on the experience gained by designing one platform. However, we rely on issues and challenges collected from four countries. Practical implications: The identification of challenges for innovative design of e-government services through a central portal in Europe and using service federation is expected to inform practitioners in different roles about significant changes across multiple levels that are implied and may accelerate the challenges' resolution. Originality/value: This is the first study that discusses from multiple perspectives and through empirical investigation the challenges to realize public governance through innovative technologies. The results emerge from an actual portal that will function at a European level. © Emerald Group Publishing Limited
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