408,539 research outputs found

    Structural equation modeling of eBankQual scale: a study of E-Banking in India

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    This study assesses the relationship between perceived quality, brand perception and perceived value with satisfaction. For the data analysis structural equation modeling (SEM) method and path analysis method were used. A result indicates that, eBankQual model is fit to assess relationship between service quality, brand perception and perceived value with overall customers’ satisfaction in e-banking service. Result of regression SEM indicates that, all 14 variables found significant and good predictors of overall satisfaction in e-banking services. However, result of SEM analysis indicates that, data supports to eBankQual model and dimensions Compensation, Convenience, Contact Facilities, Easy to Use, Responsiveness, Cost Effectiveness and System Availability including brand perception and perceived value were found more significant factors in the eBankQual model.Structural Equation Modeling, Service quality, Brand perception, Perceived value, Satisfaction

    Modeling Framework for Integrated, Model-based Development of Product-Service Systems

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    Product-service systems (PSS) are seen as the 21st-century solution for direct delivery of value to customers under the requirements of high availability, quality, and reduced risks. With mutual benefits for customers, manufacturers, service providers and often the environment, PSS represent a promising approach to sustainable development. This paper addresses the integrated development of product-service systems consisting of physical products/systems and services and proposes an integrated modeling framework that utilizes the Systems Modeling Language. A use case from Lenze, a German automation company, demonstrates the applicability of the integrated modeling framework in practice

    Service Allocation in a Mobile Fog Infrastructure under Availability and QoS Constraints

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    The next generation of mobile networks, namely 5G, and the Internet of Things (IoT) have brought a large number of delay sensitive services. In this context Cloud services are migrating to the edge of the networks to reduce latency. The notion of Fog computing, where the edge plays an active role in the execution of services, comes to meet the need for the stringent requirements. Thus, it becomes of a high importance to elegantly formulate and optimize this problem of mapping demand to supply. This work does exactly that, taking into account two key aspects of a service allocation problem in the Fog, namely modeling cost of executing a given set of services, and the randomness of resources availability, which may come from pre-existing load or server mobility. We introduce an integer optimization formulation to minimize the total cost under a guarantee of service execution despite the uncertainty of resources availability.Comment: 5 pages, 5 figure

    Community Food Store Types Availability is Associated with Fruit and Vegetable Consumption in North Carolina

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    Despite the nutritional guidelines promoting consumption of fruits and vegetables, the level of fruits and vegetable consumption is drastically below the recommended levels nationally, as well as at the state levels. Among factors that may influence consumption of fruits and vegetables, it is held that factors within the food environment such as the availability of retail types that are conducive for easy access to fruits and vegetables within communities may be presenting barriers to purchase. We employ multilevel modeling approaches to investigate the determinants of fruit and vegetable intake in North Carolina, accounting for food environment factors. Results of the study indicate that availability of supermarkets and full service restaurants is associated positively with fruits and vegetable consumption while fast food outlets are associated negatively. Other smaller store types were not statistically significant. Individual factors including age, being female, employed, income and education all were positively associated with fruits and vegetable consumption. The significant positive association of area level food environmental factors with the consumption of fruits and vegetables indicates a complementary role for intervention directed at improving the availability of supermarket type stores so as to impact healthy food purchases and consumption.Food Consumption/Nutrition/Food Safety,

    Urban solar photovoltaics potential: An inventory and modelling study applied to the San Fernando Valley region of Los Angeles

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    Procedures for analyzing the potential of solar photovoltaic collectors to meet energy requirements in a metropolitan region are described and a modeling effort is applied to the San Fernando Valley region of Los Angeles. The procedure involves a series of steps designed to produce maps and tabulations revealing the amount of rooftop area available for establishing solar collectors and the proportion of energy requirement that could be potentially supplied by solar photovoltaics within each of the 533 mainline feeder service areas in the study area. For the sixty five square mile study area, the results showed that, with half the available flat and south facing roofs used and assuming the availability of energy storage, 52.7 percent of the actual kWh energy requirements could have been met in 1978 using photovoltaic collectors. Hourly, daily, weekly, and monthly fluctuations in potential supply and actual loads and recommendations of avenues for further research are discussed. Some further potential applications of the modeling technique are suggested

    Redundant VoD Streaming Service in a Private Cloud: Availability Modeling and Sensitivity Analysis

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    For several years cloud computing has been generating considerable debate and interest within IT corporations. Since cloud computing environments provide storage and processing systems that are adaptable, efficient, and straightforward, thereby enabling rapid infrastructure modifications to be made according to constantly varying workloads, organizations of every size and type are migrating to web-based cloud supported solutions. Due to the advantages of the pay-per-use model and scalability factors, current video on demand (VoD) streaming services rely heavily on cloud infrastructures to offer a large variety of multimedia content. Recent well documented failure events in commercial VoD services have demonstrated the fundamental importance of maintaining high availability in cloud computing infrastructures, and hierarchical modeling has proved to be a useful tool for evaluating the availability of complex systems and services. This paper presents an availability model for a video streaming service deployed in a private cloud environment which includes redundancy mechanisms in the infrastructure. Differential sensitivity analysis was applied to identify and rank the critical components of the system with respect to service availability. The results demonstrate that such a modeling strategy combined with differential sensitivity analysis can be an attractive methodology for identifying which components should be supported with redundancy in order to consciously increase system dependability

    Pengaruh Ketersediaan Obat dan Kualitas Pelayanan Farmasi terhadap Kepuasan dan Loyalitas Pasien Rawat Jalan (Studi pada Rumah Sakit Ibu dan Anak PKU Muhammadiyah Cipondoh, Tangerang)

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    Customer satisfaction is the key to creating customer loyalty, as well as in-hospital services. This study will examine aspects of drug availability and quality of service and its effect on the satisfaction and loyalty of outpatients at PKU Muhammadiyah Hospital in Cipondok, Tangerang. This study uses a survey method with a questionnaire as a data collection tool. A quantitative approach was carried out using Structural Equation Modeling (SEM) analysis with LISREL. The study sample was taken from all patients who visited the outpatient unit at PKU Muhammadiyah Hospital in Cipondoh, Tangerang, or their families who came for treatment and bought medicine at PKU Muhammadiyah Hospital in Cipondoh, Tangerang. The results showed Availability of drugs had a significant effect on outpatient satisfaction, The quality of pharmaceutical installation services has a significant effect on outpatient satisfaction, Availability of drugs significantly influences outpatient loyalty, Service quality has no significant effect on outpatient loyalty, and patient satisfaction has a significant effect on outpatient loyalty. The results of statistical tests noted that 86% of patient satisfaction levels were affected by the availability of drugs and the quality of services, and 89% of patient loyalty was influenced by the availability of drugs and quality of service

    OBJECT-ORIENTED PARTS INVENTORY INFORMATION SYSTEM MODELING USING UNIFIED MODELING LANGUAGE

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    The availability of spare parts in a vehicle service workshop needs to be correctly recorded and recorded, making it easier for workshop owners to ensure the complete availability of vehicle spare parts. From the results of the author's observations, the Rizki Prima workshop has several obstacles in recording the availability of spare parts where the business processes being carried out are still a hassle for the employees working in the workshop. The problem often occurs when recording is the incompleteness of data related to incoming and outgoing goods. So the recording made in the ledger needs to be more accurate and requires a relatively long time to search one by one in the register if the workshop owner needs it. As a result of poor recording of goods, it is difficult for the owner to order goods again, worried that duplicating data will record incoming goods. The above problems are the basis for the authors to conduct research by utilizing information systems and modeling with an object-oriented approach using a unified modeling language to design a spare parts inventory information system according to user needs. To provide an overview of the Rizki Prima workshop transforming from conventional spare parts data recording to digital spare parts recording. The above problems are the basis for the authors to conduct research by utilizing information systems and modeling with an object-oriented approach using a unified modeling language to design a spare parts inventory information system according to user needs. To provide an overview of the Rizki Prima workshop transforming from conventional spare parts data recording to digital spare parts recording. The above problems are the basis for the authors to conduct research by utilizing information systems and modeling with an object-oriented approach using a unified modeling language to design a spare parts inventory information system according to user needs. To provide an overview of the Rizki Prima workshop transforming from conventional spare parts data recording to digital spare parts recording.   KEYWORDS: Modeling, Information Systems, Spare Parts Inventory, Availability, Unified Modeling Languag

    Estimating Uncertainty of Bus Arrival Times and Passenger Occupancies

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    Travel time reliability and the availability of seating and boarding space are important indicators of bus service quality and strongly influence users’ satisfaction and attitudes towards bus transit systems. With Automated Vehicle Location (AVL) and Automated Passenger Counter (APC) units becoming common on buses, some agencies have begun to provide real-time bus location and passenger occupancy information as a means to improve perceived transit reliability. Travel time prediction models have also been established based on AVL and APC data. However, existing travel time prediction models fail to provide an indication of the uncertainty associated with these estimates. This can cause a false sense of precision, which can lead to experiences associated with unreliable service. Furthermore, no existing models are available to predict individual bus occupancies at downstream stops to help travelers understand if there will be space available to board. The purpose of this project was to develop modeling frameworks to predict travel times (and associated uncertainties) as well as individual bus passenger occupancies. For travel times, accelerated failure-time survival models were used to predict the entire distribution of travel times expected. The survival models were found to be just as accurate as models developed using traditional linear regression techniques. However, the survival models were found to have smaller variances associated with predictions. For passenger occupancies, linear and count regression models were compared. The linear regression models were found to outperform count regression models, perhaps due to the additive nature of the passenger boarding process. Various modeling frameworks were tested and the best frameworks were identified for predictions at near stops (within five stops downstream) and far stops (further than eight stops). Overall, these results can be integrated into existing real-time transit information systems to improve the quality of information provided to passengers
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