Using computer simulation in operating room management: impacts of information quality on process performance

High quality information has a significant impact on improving operation performance and patient satisfaction, as well as resolving patient disputes. Based on the analysis of the perioperative process, information quality is considered as an important contributory factor in improving patient throughput. In this paper, we propose a conceptual framework to use computer simulations in modeling information flow of hospital process for operating room management (ORM). Additionally, we conduct simulation studies in different levels of the information quality for ORM. The results of our studies provide evidence that information quality can drive process performance in several phases of the ORM

Improving the Semantics of Conceptual-Modeling Grammars: A New Perspective on an Old Problem

A core activity in information systems development involves understanding the conceptual model of the domain that the information system supports. Any conceptual model is ultimately created using a conceptual-modeling (CM) grammar. Accordingly, just as high quality conceptual models facilitate high quality systems development, high quality CM grammars facilitate high quality conceptual modeling. This paper seeks to provide a new perspective on improving the quality of CM grammar semantics. For the past twenty years, the leading approach to this topic has drawn on ontological theory. However, the ontological approach captures just half of the story. It needs to be coupled with a logical approach. We show how ontological quality and logical quality interrelate and we outline three contributions of a logical approach: the ability to see familiar conceptual-modeling problems in simpler ways, the illumination of new problems, and the ability to prove the benefit of modifying CM grammars

Understanding understandability of conceptual models - what are we actually talking about? - Supplement

Investigating and improving the quality of conceptual models has gained tremendous importance in recent years. In general, model understandability is regarded one of the most important model quality goals and criteria. A considerable amount of empirical studies, especially experiments, have been conducted in order to investigate factors in-fluencing the understandability of conceptual models. However, a thorough review and reconstruction of 42 experiments on conceptual model understandability shows that there is a variety of different understandings and conceptualizations of the term model understandability. As a consequence, this term remains ambiguous, research results on model understandability are hardly comparable and partly imprecise, which shows the necessity of clarification what the conceptual modeling community is actually talking about when the term model understandability is used. This contribution represents a supplement to the article „ Understanding understandability of conceptual models – What are we actually talking about?” published in the Proceedings of the 31st International Conference on Conceptual Modeling (ER 2012) which aimed at overcoming the above mentioned shortcoming by investigating and further clarifying the concept of model understandability. This supplement contains a complete overview of Table 1 (p. 69 in the original contribution) which could only be partly presented in the conference proceedings due to space limitations. Furthermore, an erratum concerning the overview in Table 2 (p. 71 in the original contribution) is presented

A conceptual model of pair programming knowledge-based sharing for improving programming skills

One of eXtream Programming practices is Pair Programming (PP) (the pair consists of a driver and a navigator), which is used for promoting knowledge sharing among students. This practice encourages students to think creatively of programming solutions, and simplify learning, especially for difficult course such as Java. By applying PP, students are enforced to improve their social skills as they communicate with each others. Despite the numerous benefits of PP (discussed by previous studies), statistics show lack of demonstrating the extent at which the knowledge sharing, communication and transfer between the driver and the navigator can improve the code quality. Therefore this study aims propose a conceptual model of a PP knowledge-based sharing for improving programming skills. In order to achieve the stated objective, PP laboratory assignments were conducted and compared to evaluate the impact of PP on code quality with and without adopting the conceptual model. The conceptual model was validated by analyzing the collected data from the participants of PP laboratory assignment using Partial Least Square form of Structural Equation Modeling (PLS-SEM). The findings of the study show that socialization, combination, and internalization are the determinant factors for achieving better code quality in PP environment. The findings of this study would be benefited to academic environment especially the agile programmers in the pair programming domain

Ontology-driven conceptual modeling: A'systematic literature mapping and review

All rights reserved. Ontology-driven conceptual modeling (ODCM) is still a relatively new research domain in the field of information systems and there is still much discussion on how the research in ODCM should be performed and what the focus of this research should be. Therefore, this article aims to critically survey the existing literature in order to assess the kind of research that has been performed over the years, analyze the nature of the research contributions and establish its current state of the art by positioning, evaluating and interpreting relevant research to date that is related to ODCM. To understand and identify any gaps and research opportunities, our literature study is composed of both a systematic mapping study and a systematic review study. The mapping study aims at structuring and classifying the area that is being investigated in order to give a general overview of the research that has been performed in the field. A review study on the other hand is a more thorough and rigorous inquiry and provides recommendations based on the strength of the found evidence. Our results indicate that there are several research gaps that should be addressed and we further composed several research opportunities that are possible areas for future research

Determinants of Undergraduate Student Satisfaction and Continuance Intention to Use E-learning in a Public University in Dezhou, China

This study aims to examine the crucial factors that significantly influence college undergraduate students’ satisfaction and continuance intention to use E-Learning at a public university in Dezhou, China. The conceptual framework was developed from previous studies and finalized with key constructs: perceived ease of use, perceived usefulness, system quality, information quality, self-efficacy, satisfaction, and continuation intention. The target population is 493 undergraduates in four majors at a public college in Dezhou. The research applied a quantitative method using questionnaires distributed to the target group. The sampling techniques applied in this study include purposive, quota, and convenience sampling. The data were analyzed using confirmatory factor analysis (CFA) and structural equation modeling (SEM). The findings demonstrate that satisfaction strongly influenced continuance intention. Information quality, perceived ease of use, system quality, and perceived usefulness significantly impact satisfaction. Perceived ease of use and self-efficacy has a significant impact on perceived usefulness. University managers and educators should focus on enhancing student satisfaction and continuance intention to use e-learning more effectively by improving information and system quality in their institutions

Design-time Models for Resiliency

Resiliency in process-aware information systems is based on the availability of recovery flows and alternative data for coping with missing data. In this paper, we discuss an approach to process and information modeling to support the specification of recovery flows and alternative data. In particular, we focus on processes using sensor data from different sources. The proposed model can be adopted to specify resiliency levels of information systems, based on event-based and temporal constraints

Investigating the trade-off between the effectiveness and efficiency of process modeling

Despite recent efforts to improve the quality of process models, we still observe a significant dissimilarity in quality between models. This paper focuses on the syntactic condition of process models, and how it is achieved. To this end, a dataset of 121 modeling sessions was investigated. By going through each of these sessions step by step, a separate ‘revision’ phase was identified for 81 of them. Next, by cutting the modeling process off at the start of the revision phase, a partial process model was exported for these modeling sessions. Finally, each partial model was compared with its corresponding final model, in terms of time, effort, and the number of syntactic errors made or solved, in search for a possible trade-off between the effectiveness and efficiency of process modeling. Based on the findings, we give a provisional explanation for the difference in syntactic quality of process models

Quality measures for ETL processes: from goals to implementation

Extraction transformation loading (ETL) processes play an increasingly important role for the support of modern business operations. These business processes are centred around artifacts with high variability and diverse lifecycles, which correspond to key business entities. The apparent complexity of these activities has been examined through the prism of business process management, mainly focusing on functional requirements and performance optimization. However, the quality dimension has not yet been thoroughly investigated, and there is a need for a more human-centric approach to bring them closer to business-users requirements. In this paper, we take a first step towards this direction by defining a sound model for ETL process quality characteristics and quantitative measures for each characteristic, based on existing literature. Our model shows dependencies among quality characteristics and can provide the basis for subsequent analysis using goal modeling techniques. We showcase the use of goal modeling for ETL process design through a use case, where we employ the use of a goal model that includes quantitative components (i.e., indicators) for evaluation and analysis of alternative design decisions.Peer ReviewedPostprint (author's final draft