Journal articles on the topic 'Service topic'
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Pan, Weifeng, Jilei Dong, Kun Liu, and Jing Wang. "Topology and Topic-Aware Service Clustering." International Journal of Web Services Research 15, no. 3 (July 2018): 18–37. http://dx.doi.org/10.4018/ijwsr.2018070102.
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This article describes how the number of services and their types being so numerous makes accurately discovering desired services become a problem. Service clustering is an effective way to facilitate service discovery. However, the existing approaches are usually designed for a single type of service documents, neglecting to fully use the topic and topological information in service profiles and usage histories. To avoid these limitations, this article presents a novel service clustering approach. It adopts a bipartite network to describe the topological structure of service usage histories and uses a SimRank algorithm to measure the topological similarity of services; It applies Latent Dirichlet Allocation to extract topics from service profiles and further quantifies the topic similarity of services; It quantifies the similarity of services by integrating topological and topic similarities; It uses the Chameleon clustering algorithm to cluster the services. The empirical evaluation on real-world data set highlights the benefits provided by the combination of topological and topic similarities.
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Widiantoro, S.Kom., M.Kom., Albertus Dwiyoga, and Bernardinus Harnadi. "Analysis of User Comments Based on Topic Modeling using LDA on OVO E-Wallet." SISFORMA 9, no. 2 (January 2, 2023): 99–107. http://dx.doi.org/10.24167/sisforma.v9i2.5343.
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Fintech OVO in Indonesia is an important part of cashless payment services. Users take advantage of the commenting service on the Playstore to convey messages to OVO managers. Hundreds of comments always appear every day, and this if not responded to will be a problem. The topic method of the Latent Dirichlet Allocation (LDA) model will be used to analyze the occurrence of user topics. Based on the 6-topic LDA model, we found that the trending topic was in topic 1, with a topic probability value of 0.235. Topic 1 mentions transaction difficulties with premium services with high OVO usage While the ease of transactions has the lowest total probability. The results of this topic can be used as a reference for OVO service providers to focus their performance on improving OVO applications. The impact of this research on service providers is to find out the topics discussed by OVO application users.
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Ma, Hong Jiang. "Semantic Web Service Composition Based on Topic Maps." Applied Mechanics and Materials 121-126 (October 2011): 4142–45. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.4142.
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To improve efficiency and accuracy of semantic web service composition, a topic maps oriented semantic web service composition policy is proposed. Firstly describes topic maps and web service with ontology, then defines a service composition view to implement service composition mapping. Secondly, a matching dependency for semantic web service is defined, and employ greedy genetic algorithm to optimize the results. Finally, this paper implements the method based Amazon services set and the results show that it is better efficiency than old method.
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Zou, Yicheng, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, and Xiaozhong Liu. "Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (May 18, 2021): 14665–73. http://dx.doi.org/10.1609/aaai.v35i16.17723.
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In a customer service system, dialogue summarization can boost service efficiency by automatically creating summaries for long spoken dialogues in which customers and agents try to address issues about specific topics. In this work, we focus on topic-oriented dialogue summarization, which generates highly abstractive summaries that preserve the main ideas from dialogues. In spoken dialogues, abundant dialogue noise and common semantics could obscure the underlying informative content, making the general topic modeling approaches difficult to apply. In addition, for customer service, role-specific information matters and is an indispensable part of a summary. To effectively perform topic modeling on dialogues and capture multi-role information, in this work we propose a novel topic-augmented two-stage dialogue summarizer (TDS) jointly with a saliency-aware neural topic model (SATM) for topic-oriented summarization of customer service dialogues. Comprehensive studies on a real-world Chinese customer service dataset demonstrated the superiority of our method against several strong baselines.
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Ling, Shi Jia, and Ban Ru Lan. "A Research on Development of Drupal-Based Topic Service Website." Advanced Materials Research 846-847 (November 2013): 1840–43. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1840.
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In the network environment, special service website is an effective way to carry out special services. Currently there are many problems in special topic service website construction: the style is not uniform, the database is not compatible, technical architectures have serious differences, and rights management is confusing. All of the issues mentioned above lead to a great waste of hardware, software, human and financial resources. This article puts forward the Drupal-based rapid website establishment solution which can effectively improves the construction and management efficiency of special topic service website and increases compatibility between different topic service sites, while greatly reducing the cost of topic services.
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Nam, Seungju, Chunghun Ha, and Hyun Lee. "Redesigning In-Flight Service with Service Blueprint Based on Text Analysis." Sustainability 10, no. 12 (November 29, 2018): 4492. http://dx.doi.org/10.3390/su10124492.
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Airline services should be passenger-focused to be sustainable. In this study, we redesign an in-flight service process using a service blueprint while incorporating direct customer perceptions of service experiences. To incorporate these, we apply topic modeling to 64,706 passenger-written online reviews of airline services. Passenger experiences of in-flight services are the sum of experiences from service encounters in all the subsequent steps and we assume that their direct perceptions of their experiences are faithfully contained in the online reviews. Topics extracted from the reviews can be regarded as service encounters based strongly on passenger experiences. Then, the service encounters are reorganized within the framework of a service blueprint. The results show that the complexity, a number of service steps, decreases by 38% compared to the benchmark service blueprint. However, the divergence, a latitude of service steps, should increase for a couple of service encounters. Moreover, we quantitatively analyze the divergence using the probability of word frequency statistically distributed across topics. The in-flight service using the proposed design could be sustainable with respect to customer-focused service while considering direct customer experiences in real-time.
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Chen, Si Hong. "A Research on Development of Topic Service Website Based on Drupal and Shortest Path Optimization Protocol." Applied Mechanics and Materials 513-517 (February 2014): 1668–71. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1668.
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The special service website is an effective way to conduct special services in network environment. Recently many problems exist in website construction for special topic service: the style is not uniform, the database is not compatible, communication protocol is not practical, technical architectures have serious differences and rights management is confused. All of the problems mentioned above lead to a great waste of hardware, software, human and financial resources. This paper proposes a Drupal-based rapid website establishment solution which effectively improves the construction and management efficiency of special topic service website and increases compatibility between different topic service sites, while greatly reducing the cost of topic services.
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Hendrawan, Muhammad Yunus, and Nucke Widowati Kusumo Projo. "Topic Modelling in Knowledge Management Documents BPS Statistics Indonesia." Proceedings of The International Conference on Data Science and Official Statistics 2021, no. 1 (January 4, 2022): 119–30. http://dx.doi.org/10.34123/icdsos.v2021i1.52.
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Knowledge management is an important activity in improving the performance an organization. BPS Statistics Indonesia has recently implemented such a system to improve the quality and efficiency of business processes. The purposes of this research are: 1) implementing topic modelling on BPS Knowledge Management System to identify groups of document topics; 2) providing recommendations on which the best topic modelling; 3) building a web service function of topic modelling for BPS that includes data preprocessing function and topic group recommendation function. This study applies the Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA) topic modelling methods to determine the best grouping techniques for knowledge management systems in BPS Statistics Indonesia. The results show that the LDA model using Mallet is the best model with 25 topic groups and a coherence score of 0.4803. The performance result suggest that the best modelling method is the LDA. The LDA model is then successfully implemented in RESTful web service to provide services in the preprocessing function and topic recommendations on documents entered into the Knowledge Management System BPS.
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Ahmed, Mohamed, Michael Reilly, Carol Cassidy, and Laura Mannion. "Psychoeducation: priorities of service users and service providers." Irish Journal of Psychological Medicine 28, no. 2 (June 2011): 84–86. http://dx.doi.org/10.1017/s0790966700011496.
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AbstractObjectives: The objective of this study was to ascertain the topics patients and mental health professionals thought should be covered in a psychoeducation programme at a day hospital.Methods: Patients at the psychiatric day hospital and mental health professionals were invited to complete the study questionnaire. Replies from 101 participants were analysed.Results: The patients and mental health professionals generally agreed regarding the topics to be covered in the eight-week psychoeducation programme. Patients tended to score ‘suicide’ as more important than did the mental health professionals.Conclusions: Patients in a day hospital setting and mental health professionals share similar concerns about what information needs to be imparted about the patients' illnesses. However, suicide is seen by patients as a more important topic in such a setting.
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Shi, Min, Yufei Tang, Xingquan Zhu, and Jianxun Liu. "Topic-aware Web Service Representation Learning." ACM Transactions on the Web 14, no. 2 (April 19, 2020): 1–23. http://dx.doi.org/10.1145/3386041.
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Sun, Chengai, Liangyu Lv, Gang Tian, Qibo Wang, Xiaoning Zhang, and Lantian Guo. "Leverage Label and Word Embedding for Semantic Sparse Web Service Discovery." Mathematical Problems in Engineering 2020 (March 24, 2020): 1–8. http://dx.doi.org/10.1155/2020/5670215.
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Information retrieval-based Web service discovery approach suffers from the semantic sparsity problem caused by lacking of statistical information when the Web services are described in short texts. To handle this problem, external information is often utilized to improve the discovery performance. Inspired by this, we propose a novel Web service discovery approach based on a neural topic model and leveraging Web service labels. More specifically, words in Web services are mapped into continuous embeddings, and labels are integrated by a neural topic model simultaneously for embodying external semantics of the Web service description. Based on the topic model, the services are interpreted into hierarchical models for building a service querying and ranking model. Extensive experiments on several datasets demonstrated that the proposed approach achieves improved performance in terms of F-measure. The results also suggest that leveraging external information is useful for semantic sparse Web service discovery.
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Alexander, George, Mohammed Bahja, and Gibran Farook Butt. "Automating Large-scale Health Care Service Feedback Analysis: Sentiment Analysis and Topic Modeling Study." JMIR Medical Informatics 10, no. 4 (April 11, 2022): e29385. http://dx.doi.org/10.2196/29385.
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Background Obtaining patient feedback is an essential mechanism for health care service providers to assess their quality and effectiveness. Unlike assessments of clinical outcomes, feedback from patients offers insights into their lived experiences. The Department of Health and Social Care in England via National Health Service Digital operates a patient feedback web service through which patients can leave feedback of their experiences in structured and free-text report forms. Free-text feedback, compared with structured questionnaires, may be less biased by the feedback collector and, thus, more representative; however, it is harder to analyze in large quantities and challenging to derive meaningful, quantitative outcomes. Objective The aim of this study is to build a novel data analysis and interactive visualization pipeline accessible through an interactive web application to facilitate the interrogation of and provide unique insights into National Health Service patient feedback. Methods This study details the development of a text analysis tool that uses contemporary natural language processing and machine learning models to analyze free-text clinical service reviews to develop a robust classification model and interactive visualization web application. The methodology is based on the design science research paradigm and was conducted in three iterations: a sentiment analysis of the patient feedback corpus in the first iteration, topic modeling (unigram and bigram)–based analysis for topic identification in the second iteration, and nested topic modeling in the third iteration that combines sentiment analysis and topic modeling methods. An interactive data visualization web application for use by the general public was then created, presenting the data on a geographic representation of the country, making it easily accessible. Results Of the 11,103 possible clinical services that could be reviewed across England, 2030 (18.28%) different services received a combined total of 51,845 reviews between October 1, 2017, and September 30, 2019. Dominant topics were identified for the entire corpus followed by negative- and positive-sentiment topics in turn. Reviews containing high- and low-sentiment topics occurred more frequently than reviews containing less polarized topics. Time-series analysis identified trends in topic and sentiment occurrence frequency across the study period. Conclusions Using contemporary natural language processing techniques, unstructured text data were effectively characterized for further analysis and visualization. An efficient pipeline was successfully combined with a web application, making automated analysis and dissemination of large volumes of information accessible. This study represents a significant step in efforts to generate and visualize useful, actionable, and unique information from free-text patient reviews.
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Herzfeldt, Alexander, Thomas Wolfenstetter, Christoph Ertl, and Helmut Krcmar. "The Role of Individualization and Project Learning for Cloud Service Profitability." Journal of Electronic Commerce in Organizations 16, no. 2 (April 2018): 64–82. http://dx.doi.org/10.4018/jeco.2018040104.
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This article describes how cloud computing has been one of the most important IT topics in recent years. In increasingly greater numbers, service providers have entered this dynamic market turning it into one of the most competitive markets in modern IT industry. As the market matures, many providers are struggling with profitability issues. Studies on cloud services have primarily approached the topic from a technical or customer's perspective, neglecting the provider's perspective. In this article, the authors address business aspects of cloud services from the provider's perspective. Based on an empirical study of 78 cloud service providers, they analyse the impact of service individualization and project learning on service delivery cost and profitability. The results indicate that while project learning merely helps to reduce service delivery costs, service individualization positively affects profitability.
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Bai, Bing, Yushun Fan, Wei Tan, Jia Zhang, Keman Huang, and Jing Bi. "End-to-End Web Service Recommendations by Extending Collaborative Topic Regression." International Journal of Web Services Research 15, no. 1 (January 2018): 89–112. http://dx.doi.org/10.4018/ijwsr.2018010105.
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Mashup has emerged as a lightweight way to compose multiple web services and create value-added compositions. Facing the large amount of services, effective service recommendations are in great need. Service recommendations for mashup queries suffers from a mashup-side cold-start problem, and traditional approaches usually overcome this by first applying topic models to mine topic proportions of services and mashup queries, and then using them for subsequent recommendations. This solution overlooks the fact that usage record can provide a feedback for text extraction. Besides, traditional approaches usually treat all the usage records equally, and overlook the fact that the service usage pattern is evolving. In this article, the authors overcome these issues and propose an end-to-end service recommendation algorithm by extending collaborative topic regression. The result is a generative process to model the whole procedure of service selection; thus, usage can guide the mining of text content, and meanwhile, they give time-aware confidence levels to different historical usages. Experiments on the real-world ProgrammableWeb data set show that the proposed algorithm gains an improvement of 6.3% in terms of mAP@50 and 10.6% in terms of Recall@50 compared with the state-of-the-art methods.
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O’Donoghue, B. "Coercion: an understudied issue in mental health." Irish Journal of Psychological Medicine 34, no. 4 (November 23, 2017): 221–22. http://dx.doi.org/10.1017/ipm.2017.70.
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Coercion in mental health services is a controversial practice, yet it is a relatively understudied area. This special themed edition draws upon research from the international community with the aim of addressing issues related to coercion and involuntary admission. The issue covers topics such as community treatment orders, service users’ perspectives, alternative models of involving service users in their treatment, and future directions for coercion research. It is hoped that this edition will encourage funding and inspire future research on this important topic.
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Sampson, Scott, and Martin Spring. "Special Topic Forum on Service Supply Chains." Journal of Supply Chain Management 47, no. 1 (January 2011): 95. http://dx.doi.org/10.1111/j.1745-493x.2010.03216.x.
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Sampson, Scott, and Martin Spring. "SPECIAL TOPIC FORUM ON SERVICE SUPPLY CHAINS." Journal of Supply Chain Management 47, no. 2 (March 31, 2011): 116. http://dx.doi.org/10.1111/j.1745-493x.2011.03224.x.
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Sampson, Scott, and Martin Spring. "Special Topic Forum on Service Supply Chains." Journal of Supply Chain Management 47, no. 3 (July 2011): 88. http://dx.doi.org/10.1111/j.1745-493x.2011.03237.x.
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Field, Joy M., Liana Victorino, Ryan W. Buell, Michael J. Dixon, Susan Meyer Goldstein, Larry J. Menor, Madeleine E. Pullman, Aleda V. Roth, Enrico Secchi, and Jie J. Zhang. "Service operations: what’s next?" Journal of Service Management 29, no. 1 (January 8, 2018): 55–97. http://dx.doi.org/10.1108/josm-08-2017-0191.
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Purpose The purpose of this paper is to present exciting and innovative research questions in service operations that are aligned with eight key themes and related topics determined by the Journal of Service Management (JOSM) Service Operations Expert Research Panel. By offering a good number of such research questions, this paper provides a broad range of ideas to spur conceptual and empirical research related to service operations and encourage the continued creation of deep knowledge within the field, as well as collaborative research across disciplines that develops and incorporates insights from service operations. Design/methodology/approach Based on a Delphi study, described in the companion article, “Service Operations: What Have We Learned?,” the panel identified eight key research themes in service operations where leading-edge research is being done or has yet to be done (Victorino et al., 2018). In this paper, three or four topics within each theme are selected and multiple questions for each topic are proposed to guide research efforts. The topics and questions, while wide-ranging, are only representative of the many ongoing research opportunities related to service operations. Findings The field of service operations has many interesting research topics and questions that are largely unexplored. Furthermore, these research areas are not only increasingly integrative across multiple themes within operations but often transcend functional disciplines. This creates opportunities for ever more impactful research with a greater reach throughout the service system and suggests that service researchers, regardless of functional affiliation, can contribute to the ongoing conversation on the role of service operations in value creation. Originality/value Leveraging the collective knowledge of the JOSM Service Operations Expert Research Panel to expand on the research themes generated from the Delphi study, novel questions for future study are put forward. Recognizing that the number of potential research questions is virtually unlimited, summary questions by theme and topic are also provided. These questions represent a synopsis of the individual questions and can serve as a quick reference guide for researchers interested in pursuing new directions in conceptual and empirical research in service operations. This summary also serves as a framework to facilitate the formulation of additional research topics and questions.
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Barravecchia, Federico, Fiorenzo Franceschini, Luca Mastrogiacomo, and Mohamed Zaki. "Research on product-service systems: topic landscape and future trends." Journal of Manufacturing Technology Management 32, no. 9 (June 1, 2021): 208–38. http://dx.doi.org/10.1108/jmtm-04-2020-0164.
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PurposeThe paper attempts to address the following research questions (RQs): RQ1: What are the main research topics within PSS research? RQ2: What are future trends for PSS research?Design/methodology/approachTwenty years of research (1999–2018) on product-service systems (PSS) produced a significant amount of scientific literature on the topic. As the PSS field is relatively new and fragmented across different disciplines, a review of the prior and relevant literature is important in order to provide the necessary framework for understanding current developments and future perspectives. This paper aims to review and organize research contributions regarding PSS. A machine-learning algorithm, namely Latent Dirichlet Allocation, has been applied to the whole literature corpus on PSS in order to understand its structure.FindingsThe adopted approach resulted in the definition of eight distinct and representative topics able to deal adequately with the multidisciplinarity of the PSS. Furthermore, a systematic review of the literature is proposed to summarize the state-of-the-art and limitations in the identified PSS research topics. Based on this critical analysis, major gaps and future research challenges are presented and discussed.Originality/valueOn the basis of the results of the topic landscape, the paper presents some potential research opportunities on PSSs. In particular, challenges, transversal to the eight research topics and related to recent technology trends and digital transformation, have been discussed.
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Gencer, Sinem, and Huseyin Akkus. "The topic-specific nature of experienced chemistry teachers’ pedagogical content knowledge in the topics of interactions between chemical species and states of matter." Chemistry Education Research and Practice 22, no. 2 (2021): 498–512. http://dx.doi.org/10.1039/d0rp00258e.
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This study aims to determine the topic-specific nature of two experienced chemistry teachers’ pedagogical content knowledge (PCK) in the topics of interactions between chemical species and states of matter. The teachers’ PCK on these topics was investigated in terms of the following components: orientations toward science teaching (OST), knowledge of curriculum (KoC), knowledge of instructional strategies (KoIS), knowledge of learner (KoL), and knowledge of assessment (KoA). Data for the study were collected over five months using multiple data collection tools, including semi-structured interviews, observations, card-sorting activity, and field notes. PCK is identified in the literature as a topic-specific knowledge. Similarly, chemistry teachers’ PCKs in this study were found to be topic-specific in the topics of interactions between chemical species and states of matter. However, it was seen that some dimensions of the PCK components were not topic-specific. The results indicated that one of the participants’ OST was topic-specific, while the other's was not topic-specific. Further, it was determined that the participants focused on abstract nature in the topic of interactions between chemical species, but they focused on daily life examples in the topic of states of matter. To overcome the students’ difficulties and misconceptions, the participants highlighted abstract nature in the topic of interactions between chemical species and familiar examples in the topic of states of matter. Their KoC differed in terms of relations with other disciplines and curriculum sequence across the topics. Lastly, it was found that the participants’ KoAs consisted of general pedagogical knowledge for both topics. In the light of the results of this study, implications are stated and suggestions on improving the understanding of the topic-specific nature of PCK are provided for in-service chemistry education, pre-service chemistry teacher education, and chemistry education researchers.
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Wang, G. Alan, and Christopher W. Zobel. "Topic Maps For Improving Services In Disaster Operations Management." Journal of Service Science (JSS) 1, no. 1 (July 1, 2008): 83–92. http://dx.doi.org/10.19030/jss.v1i1.4304.
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Disaster operations management is an increasingly important application area for the developing techniques of service science. This paper examines the use of topic maps, a semantic technology, within this environment, and provides a preliminary discussion of the benefits that its implementation can provide in the capture and exchange of contextual information. The discussion is motivated by a look at the different phases of disaster operations management in a services context, and focuses on the need for effective and relevant information exchange as an important part of the services process. As the amount and complexity of information increases within such processes, semantic technologies are becoming increasingly important as a means representing and managing contextual information. This paper seeks to help further the understanding of the relevance of such tools as part of the study of service science.
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Cao, Buqing, Jianxun Liu, Mingdong Tang, Zibin Zheng, and Guangrong Wang. "Mashup Service Recommendation Based on Usage History and Service Network." International Journal of Web Services Research 10, no. 4 (October 2013): 82–101. http://dx.doi.org/10.4018/ijwsr.2013100104.
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With the rapid development of Web2.0 and its related technologies, Mashup services (i.e., Web applications created by combining two or more Web APIs) are becoming a hot research topic. The explosion of Mashup services, especially the functionally similar or equivalent services, however, make services discovery more difficult than ever. In this paper, we present an approach to recommend Mashup services to users based on usage history and service network. This approach firstly extracts users' interests from their Mashup service usage history and builds a service network based on social relationships information among Mashup services, Web application programming interfaces (APIs) and their tags. The approach then leverages the target user's interest and the service social relationship to perform Mashup service recommendation. Large-scale experiments based on a real-world Mashup service dataset show that the authors' proposed approach can effectively recommend Mashup services to users with excellent performance. Moreover, a Mashup service recommendation prototype system is developed.
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Pang, Shengye, Guobing Zou, Yanglan Gan, Sen Niu, and Bofeng Zhang. "Augmenting Labeled Probabilistic Topic Model for Web Service Classification." International Journal of Web Services Research 16, no. 1 (January 2019): 93–113. http://dx.doi.org/10.4018/ijwsr.2019010105.
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Web service classification has become an urgent demand on service-oriented applications. Most existing classification algorithms mainly rely on the original service descriptions. That leads to low classification accuracy, since it cannot fully reflect the semantic feature specific to a service category. To solve the issue, this article proposes a novel approach for web service classification, including service topic feature extraction, service functionality augmentation, and service classification model learning. The characteristic is that the original service descriptions can be semantically augmented, which is fed to deriving a service classifier via labeled probabilistic topic model. A benefit from this approach is that it can be applied to an online service management platform, where it assists service providers to facilitate the registration process. Extensive experiments have been conducted on a large-scale real-world data set crawled from ProgrammableWeb. The results demonstrate that it outperforms state-of-the-art methods in terms of service classification accuracy and convergence speed.
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Kunz, Werner H., and Gianfranco Walsh. "After the revolution – new chances for service research in a digital world." Journal of Service Management 31, no. 3 (May 4, 2020): 597–607. http://dx.doi.org/10.1108/josm-03-2020-0089.
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PurposeDigital media has revolutionized societies and changed forever how we do business. This paper aims to determine the current scope of service research in the area of digital media, identifying research gaps and introducing new research contributions to complement our knowledge of digital media.Design/methodology/approachBased on all service articles of the SERVSIG literature alert system from 2016 to 2019, a subset of digital media articles was identified and latent Dirichlet allocation (LDA) text-mining methods were used on the abstracts and titles of the articles for topic modeling of the field. Dominant research topics were identified and depicted in a two-dimensional space.FindingsThe study identifies eight distinct topic areas of digital media in service research and shows their relationship to each other in a two-dimensional space. A clear tendency in service research towards taking primarily a customer (versus business perspective) of digital media can be observed. Further, for some journals, a trend towards specialization on particular topics could be detected.Research limitations/implicationsThis article advocates for more digital media research with a stronger business perspective. Further, although particular new technologies are exciting to discuss, it seems that the importance of customer relationship topics in digital media is not reflected in the current digital media research as needed.Originality/valueThe article uses a quantitative–explorative approach to determine the current state of research in regard to digital media in services. The authors introduce 11 new studies that aim to close the knowledge gap in critical areas of digital media.
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Mavhunga, Elizabeth. "Transfer of the pedagogical transformation competence across chemistry topics." Chemistry Education Research and Practice 17, no. 4 (2016): 1081–97. http://dx.doi.org/10.1039/c6rp00095a.
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Pedagogical Content Knowledge (PCK) observed in one topic is commonly understood not to be transferable to another topic. This study asked, what can then be transferred in the context of learning and acquiring PCK? The study firstly posits the existence of a generic pedagogical competence that is developed in pre-service teachers to pedagogically transform content knowledge, thereby developing their PCK exclusively in the topic, distinguished from general PCK as Topic Specific PCK (TSPCK). It then investigated the transferability of the competence learnt through an intervention on particulate nature of matter for the development of TSPCK in a subsequent, much harder topic chemical equilibrium. The location of the study was in a chemistry methodology class with 36 pre-service teachers. Mixed methods were employed in the research design. The intervention focused on developing the competence to transform concepts in the topic of particulate nature of matter. The primary data comprised a set of completed pre- and post-TSPCK tests in both topics, measuring the extent of the shifts in the quality of the construct. Additional qualitative data in the topic of the intervention was collected from class activities and Content Representations (CoRes) during the intervention, while a vignette was used in the second topic. The findings show the success of the intervention in enabling pedagogical transformation of the content knowledge in both topics, thus demonstrating a successful transfer of the learnt competence. Implications for the development of PCK in core topics in a discipline through transfer of the pedagogical transformation competence are provided.
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Mochimaru, Masaaki. "Keynote 2 Advanced Topic on Ergonomics - Service Design." Japanese journal of ergonomics 53, Supplement1 (2017): S8—S11. http://dx.doi.org/10.5100/jje.53.s8.
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Sampson, Scott E., and Martin Spring. "Service Supply Chains: Introducing the Special Topic Forum." Journal of Supply Chain Management 48, no. 4 (October 2012): 3–7. http://dx.doi.org/10.1111/j.1745-493x.2012.03281.x.
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Büttgen, Marion. "Blockchain in Service Management and Service Research - Developing a Research Agenda and Managerial Implications." Journal of Service Management Research 5, no. 2 (2021): 71–102. http://dx.doi.org/10.15358/2511-8676-2021-2-71.
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As blockchain technology is maturing to be confidently used in practice, its applications are becoming evident and, correspondingly, more blockchain research is being published, also extending to more domains than before. To date, scientific research in the field has predominantly focused on subject areas such as finance, computer science, and engineering, while the area of service management has largely neglected this topic. Therefore, we invited a group of renowned scholars from different academic fields to share their views on emerging topics regarding blockchain in service management and service research. Their individual commentaries and conceptual contributions refer to different theoretical and domain perspectives, including managerial implications for service companies as well as forward-looking suggestions for further research.
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Yu, Yong Ling, Tao Guan, and Jin Fa Shi. "Visualization Service Model for Job Scheduling." Advanced Materials Research 282-283 (July 2011): 683–86. http://dx.doi.org/10.4028/www.scientific.net/amr.282-283.683.
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With the expansion of manufacturing information services, visualization service in enterprise resource planning has recently become a hot topic. In this paper, we propose a new approach for job scheduling visualization service and a model of visualization service constructed from the share of production data and job scheduling information. Moreover, the optimization model of visualization service is given. At last, we discuss the optimization algorithm for this model.
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Zhang, Sonya, Linda Ly, Norman Mach, and Christian Amaya. "Topic Modeling and Sentiment Analysis of Yelp Restaurant Reviews." International Journal of Information Systems in the Service Sector 14, no. 1 (January 2022): 1–16. http://dx.doi.org/10.4018/ijisss.295872.
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The use of online consumer reviews (OCRs) websites like Yelp or TripAdvisor has increasingly gained popularity over the years. However, many products or services now have a large number of online reviews, which makes it difficult for consumers to decide which reviews to pay attention to, or for businesses to identify which critical areas to improve on. The use of text mining and sentiment mining techniques is deemed important to automatically process the content of online reviews and help improve review usefulness. Applying a four-phase research model, our study demonstrated data extraction and cleaning, topic modeling using Latent Dirichlet allocation (LDA) to extract five topics (Price, Time, Food, Service, and Location), sentiment analysis using Python TextBlob to aggregate consumer sentiment per topic from a Yelp restaurant reviews dataset, and model performance evaluation. We proposed that the design of recommender systems for OCRs or business decision-making systems can be faster, simpler, and more useful by integrating automatic topics extraction and sentiment analysis.
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Shargabi, Bassam Al, Osama Al-haj Hassan, Alia Sabri, and Asim El Sheikh. "Quality-of-Service Based Web Service Composition and Execution Framework." International Journal of Information Technology and Web Engineering 6, no. 3 (July 2011): 57–74. http://dx.doi.org/10.4018/jitwe.2011070104.
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Software is gradually becoming more built by composing web services to support enterprise applications integration; thus, making the process of composing web services a significant topic. The Quality of Service (QoS) in web service composition plays a crucial role. As such, it is important to guarantee, monitor, and enforce QoS and ability to handle failures during execution. Therefore, an urgent need exists for a dynamic Web Service Composition and Execution (WSCE) framework based on QoS constraints. A WSCE broker is designed to maintain the following function: intelligent web service selection decisions based on local QoS for individual web service or global QoS based selection for composed web services, execution tracking, and adaptation. A QoS certifier controlled by the UDDI registry is proposed to verify the claimed QoS attributes. The authors evaluate the composition plan along with performance time analysis.
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Rutti, Raina M., Joanne LaBonte, Marilyn Michelle Helms, Aref Agahei Hervani, and Sy Sarkarat. "The service learning projects: stakeholder benefits and potential class topics." Education + Training 58, no. 4 (April 11, 2016): 422–38. http://dx.doi.org/10.1108/et-06-2015-0050.
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Purpose – The purpose of this paper is to summarize the benefits of including a service learning project in college classes and focusses on benefits to all stakeholders, including students, community, and faculty. Design/methodology/approach – Using a snowball approach in academic databases as well as a nominal group technique to poll faculty, key topics for service learning across college disciplines are presented. Findings – Findings include a wide range of service learning projects across disciplines. Research limitations/implications – Areas for future research are identified to expand the service learning topic list as well as guide studies on the long-term benefit of service learning for each identified stakeholder. Practical implications – For new faculty or faculty new to service learning, the list of paper ideas is a good first step to identify projects. While not comprehensive, the list serves to stimulate topic ideas and fills a void in the service learning literature. Social implications – Service learning exists to provide real-world learning for students, but the projects provide benefits for community groups, agencies, and organizations. Societal benefits from the student effort are numerous and there are little or no costs to the agencies who participate. Originality/value – The abundance of service learning literature has studied learning across disciplines and has quantitatively and qualitatively presented benefits, but no studies have worked to compile project ideas across major college disciplines. This research addresses this issue and provides the key first step to implement the service learning pedagogy: the topic idea.
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Tang, Huiyan, Yitao Hu, Suoling Zhu, Weiwei Li, Qingkui Xi, and Yuxian Liu. "Two Case Studies of Topic-Related Multidimensional Reading Services in China." International Journal of Library and Information Services 9, no. 1 (January 2020): 25–35. http://dx.doi.org/10.4018/ijlis.2020010103.
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This article provides a brief summary of the development of topic-related multidimensional reading services in academic libraries in China. The authors mainly introduce the methods and practices that Tongji University Library has developed for this type of service. The authors also include a briefing about a multidimensional reading service event called “Reading the city Jinling - the Red Mansions” which was hosted by Nanjing Agriculture University Library in 2017. Theoretical and practical explorations suggest that academic libraries could integrate more resources from different areas to promote a deeper understanding of reading, and to make more contributions to knowledge transformation and innovation in China.
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Subekti, Aris, and Sunairi Hariyanto. "ANALISIS KUALITAS PELAYANAN PUBLIK DI DESA KARANGGEGER KECAMATAN PAJARAKAN KABUPATEN PROBOLINGGO." Jurnal Bina Bangsa Ekonomika 15, no. 1 (February 22, 2022): 182–90. http://dx.doi.org/10.46306/jbbe.v15i1.160.
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Public service or service to the community is an important element that can be used as an indication of the success of government leadership. Similarly, the national reform movement, which does not mean anything if the service to the public mash is less feasible. In addition, to create "good governance" which aspect of accountability is a principle that must take precedence over the implementation of government, therefore, public services that are passed such as public sector excellent services are an obligation that must be done immediately. Suharto (2005) stated, "a characteristic of the process of building social welfare including complete and thorough with the meaning of all social aspect services held always treat consumers of applicants or beneficearies as a whole human being, either in the sense of an individual or group, which is not separated from the socio-cultural environmental system". The type of research conducted is qualitative descriptive qualitative with the aim of getting an appropriate description or depiction of the problem or research topic, which in this study the topic is the quality of public service in the village office. Data is explained and presented systematically in accordance with the reality on the ground or in accordance with the facts so as to provide an objective depiction of factual conditions rather than topics or objects of study in order to understand the quality of public services and factors that inhibit the improvement of the quality of public services in Karanggeger Village of Probolinggo Regency. The results showed that the acquisition of public service quality in Karanggeger Village earned performance in service units with service value "C" or categorized as "GOOD ENOUGH". Based on the results of IKM conversion the value is 74.50, and the score of each quality is 2.98 using a scale interval of 2.60 - 3.064. Based on the details, as many as 6 elements of 9 elements get the category QUITE GOOD. While the service with the category "GOOD" there are as many as 3 elements of 9 elements. While the factors that hamper the quality of public services in Karanggeger Village are punctuality and speed when giving layaan and low human resources who are competent to operate online devices
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Buma, Anastasia, and Doras Sibanda. "In-Service and Pre-Service Science Teachers’ Enacted Pedagogical Content Knowledge about the Particulate Nature of Matter." Education Sciences 12, no. 9 (August 24, 2022): 576. http://dx.doi.org/10.3390/educsci12090576.
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The particulate nature of matter is a fundamental concept in science that students in lower grades find difficult to understand. Pedagogical content knowledge (PCK) has been identified as germane for addressing difficult topics and it enhances effective learning. The purpose of this study was to capture the quality of the enacted PCK that practising and pre-service teachers activate during planning. Data were collected through a validated PCK questionnaire which was completed by both practising and pre-service teachers. A rubric was used to code their responses. A Rasch analysis model was used to analyse the five components of the topic-specific PCK construct. Data from an item analysis show that pre-service teachers found the test items to be less difficult than did the practising teachers. We found that there was a statistically significant difference between the two groups of teachers in terms of knowledge activated during planning. These findings show that, in transforming the topic content and concepts of the particulate nature of matter, the pre-service teachers integrated more components of enacted PCK compared to practising teachers. Discussions around the curriculum for both groups of teachers might provide insight into the design of future teacher development programmes.
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Wahyuni, Sri, and Aurika Praninta. "Influence of Brand Equity and Service Quality on Purchase Decisions on Garuda Indonesia Airline Services." Research Horizon 1, no. 1 (February 27, 2021): 28–38. http://dx.doi.org/10.54518/rh.1.1.2021.28-38.
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Airlines business growth rapidly in Indonesia and makes all of the airlines service company try to compete to be the best. Quality of service has been a key on marketing topic. Branding is one of the interesting topics for study also because branding is a competitive strategy. The purpose of this study is to examine influence of brand equity and service quality of purchase decision of Garuda Indonesia airlines. The samples for the study were 110 people who already using Garuda Indonesia airlines service at least once. Method of data collection using online questionnaire by Google Forms with Likert Scale 1-10. The techniques of data analysis using Structural Equation Modeling (SEM) AMOS program version 21.0 to verify the causality of two research hypothesis. The result of this research indicates that there was no influence between brand equity and purchase decision. Moreover, the research also indicates there was no influence between service quality and purchase decision.
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Antons, David, and Christoph F. Breidbach. "Big Data, Big Insights? Advancing Service Innovation and Design With Machine Learning." Journal of Service Research 21, no. 1 (December 11, 2017): 17–39. http://dx.doi.org/10.1177/1094670517738373.
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Service innovation is intertwined with service design, and knowledge from both fields should be integrated to advance theoretical and normative insights. However, studies bridging service innovation and service design are in their infancy. This is because the body of service innovation and service design research is large and heterogeneous, which makes it difficult, if not impossible, for any human to read and understand its entire content and to delineate appropriate guidelines on how to broaden the scope of either field. Our work addresses this challenge by presenting the first application of topic modeling, a type of machine learning, to review and analyze currently available service innovation and service design research ( n = 641 articles with 10,543 pages of written text or 4,119,747 words). We provide an empirical contribution to service research by identifying and analyzing 69 distinct research topics in the published text corpus, a theoretical contribution by delineating an extensive research agenda consisting of four research directions and 12 operationalizable guidelines to facilitate cross-fertilization between the two fields, and a methodological contribution by introducing and demonstrating the applicability of topic modeling and machine learning as a novel type of big data analytics to our discipline.
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Arachchige, Jeewanie Jayasinghe, Hans Weigand, and Manfred Jeusfeld. "Business Service Modeling for the Service-Oriented Enterprise." International Journal of Information System Modeling and Design 3, no. 1 (January 2012): 1–22. http://dx.doi.org/10.4018/ijismd.2012010101.
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Service-oriented architectures are the upcoming business standard for realizing enterprise information systems, thus creating a need for analysis and design methods that are truly service-oriented. Most research on this topic so far takes a strict software engineering perspective. For a proper alignment between the business and the IT, a service perspective at the business level is needed as well. Using an MDA approach, this paper introduces a new business service and resource modeling language – BSRM, based on the REA business ontology. Coordination services are identified as boundary objects between the conceptual and operational level. A meta-modeling approach is used to map the service modeling language with complimentary models, in particular value network (e3value), data model (ER) and process models (BPMN).
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Xu, Li, Hyewon Lim, Harim Yeo, and Hyesun Hwang. "Text Mining of Online News, Social Media, and Consumer Review on Artificial Intelligence Service." Family and Environment Research 59, no. 1 (February 19, 2021): 23–43. http://dx.doi.org/10.6115/fer.2021.003.
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This study looked through the text mining analysis to check the status of the virtual assistant service, and explore the needs of consumers, and present consumer-oriented directions. Trendup 4.0 was used to analyze the keywords of AI services in Online News and social media from 2016 to 2020. The R program was used to collect consumer comment data and implement Topic Modeling analysis. According to the analysis, the number of mentions of AI services in mass media and social media has steadily increased. The Sentimental Analysis showed consumers were feeling positive about AI services in terms of useful and convenient functional and emotional aspects such as pleasure and interest. However, consumers were also experiencing complexity and difficulty with AI services and had concerns and fears about the use of AI services in the early stages of their introduction. The results of the consumer review analysis showed that there were topics(Technical Requirements) related to technology and the access process for the AI services to be provided, and topics (Consumer Request) expressed negative feelings about AI services, and topics(Consumer Life Support Area) about specific functions in the use of AI services. Text mining analysis enable this study to confirm consumer expectations or concerns about AI service, and to examine areas of service support that consumers experienced. The review data on each platform also revealed that the potential needs of consumers could be met by expanding the scope of support services and applying platform-specific strengths to provide differentiated services.
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Kannitha, Diandra Zakeshia Tiara, Mustafid Mustafid, and Puspita Kartikasari. "PEMODELAN TOPIK PADA KELUHAN PELANGGAN MENGGUNAKAN ALGORITMA LATENT DIRICHLET ALLOCATION DALAM MEDIA SOSIAL TWITTER." Jurnal Gaussian 11, no. 2 (August 28, 2022): 266–77. http://dx.doi.org/10.14710/j.gauss.v11i2.35474.
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Large scale social restrictions (PSBB) is a policy issued by the Government of Indonesia as one of the efforts to reduce the spread of the Covid-19 virus. The impact of the policy is that it requires people to conduct activities online . This makes the internet users in Indonesia in the year 2020 up to 73.7%. Each provider must be able to determine strategies in order to maintain the quality of service and customer loyalty. Good reputation for the company is also important, so customers want to use internet services through their company. One of them is by listening to the complaints of the customers towards the company. In this research, modeling the topic of customer complaints carried out using the Latent Dirichlet Allocation Algorithm. The Latent Dirichlet Allocation Algorithm was chosen because the method has good performance. The topic modelling process is carried out using the gibbs sampling estimation. The topic that is often complained to First Media is that internet was turns off while working, while for IndiHome is that the internet often turns off and disconnect. Based on the results of the interpretation, 70% for First Media and 81,81% for IndiHome that these topics had been in accordance with what is complained by customers through their tweets. From the topic that have been known, it can be used as an evaluation for their company in order to maintain service quality and customer loyalty
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Peres, Clérito Kaveski, and Edson Pacheco Paladini. "Quality Attributes of Hotel Services in Brazil and the Impacts of COVID-19 on Users’ Perception." Sustainability 14, no. 6 (March 15, 2022): 3454. http://dx.doi.org/10.3390/su14063454.
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The unprecedented crisis faced by the hotel industry due to the COVID-19 pandemic has brought about changes in guests’ perceptions of service quality attributes. In view of the need to monitor this environment, this study is dedicated to identifying the main negative topics related to the quality of hotel services in Brazil and the impacts of the COVID-19 pandemic on guests’ perception of these topics. For this purpose, a set of 866,048 online hotel reviews were collected from the Booking.com platform. Initially, data were analyzed through topic modeling to identify the attributes addressed by guests in their evaluations. Subsequently, an average comparison method was used to evaluate the impact of the pandemic on the evaluation scores of each attribute. A total of 13 topics related to five attributes of hotel service quality were identified. The topics related to room cleaning and check-in were the most negatively impacted by the COVID-19 pandemic, with the largest drops in average evaluation scores.
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Cavalcante, Marcia Beatriz, Antonio Hidalgo, Hélio Gomes de Carvalho, and Gustavo Dambiski Gomes de Carvalho. "Ferramentas de inovação de serviços: uma revisão da literatura." International Journal of Innovation 8, no. 2 (August 31, 2020): 276–304. http://dx.doi.org/10.5585/iji.v8i2.17409.
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Objective of the study: This research aims to systematically review the frameworks (i.e. tools) proposed and applied by the literature on service innovation.Methodology / approach: The methodology is based on a systematic literature review, which included two main steps. The former revisited the work of Carlborg, Kindstrom, and Kowalkowski (2014), in which 28 articles were fully analyzed, whereas the latter comprised a complete novel bibliography review employing the Science Direct database, in which 109 articles were fully analyzed. Originality / Relevance: Overall, 87 Service Innovation Tools (SIT) were identified, analyzed, and classified concerning service innovation stages and sector contexts. Besides, the topics of New Service Development (NSD), Service Engineering (SE), and Service Design (SD) were discussed, especially regarding the main stages of the service innovation process.Main results: Results show that 87 SIT were applied in several sectors such as healthcare, education, tourism, among others.Theoretical / methodological contributions: This paper contributes to the literature on both services and innovation by examining a common-ground and under-researched topic: service innovation tools.Social / management contributions: Practitioners may benefit from an overall panorama of service innovation tools available for idea generation, analysis requirements definition, and conceptual design.
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Berry, Leonard L., Kathleen Seiders, and Dhruv Grewal. "Understanding Service Convenience." Journal of Marketing 66, no. 3 (July 2002): 1–17. http://dx.doi.org/10.1509/jmkg.66.3.1.18505.
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The subject of service convenience is important in service economies, yet little is known about this topic. The consumer convenience literature—strong in certain respects, underdeveloped in other respects—gives insufficient attention to service convenience. The prevailing pattern is either to treat service convenience generally or to lump services and goods together into an overall convenience construct. The authors seek to stimulate a higher level of research activity and dialogue by proposing a more comprehensive and multidimensional conceptualization of service convenience and a model delineating its antecedents and consequences. The authors build their case by systematically examining the convenience literature, explicating the dimensions and types of service convenience, developing the overall model and related research propositions, and presenting directions for further research.
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ZHOU, Xiang-bing, Hong-jiang MA, and Gui-juan CHANG. "Semantics Web service composition engine based on topic maps." Journal of Computer Applications 30, no. 1 (March 11, 2010): 162–66. http://dx.doi.org/10.3724/sp.j.1087.2010.00162.
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Li, G., and H. Lu. "Visual Knowledge Recommendation Service Based on Intelligent Topic Map." Information Technology Journal 9, no. 6 (August 1, 2010): 1158–64. http://dx.doi.org/10.3923/itj.2010.1158.1164.
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Willoughby, Jessica Fitts, and Adrienne Muldrow. "SMS for sexual health: A comparison of service types and recommendations for sexual health text message service providers." Health Education Journal 76, no. 2 (September 27, 2016): 231–43. http://dx.doi.org/10.1177/0017896916661373.
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Objectives: Text message–based interventions may provide sexual health information to young people through a number of service types, from sending information on a regularly scheduled timeline, to providing an automated menu, to allowing young people to connect directly with health educators. While such service types exist, it is not clear which features young adults feel are most effective at allowing them to engage with sexual health information. Design: This study used a mixed-methods design (survey and focus groups) to assess perceptions of three types of sexual health text message services with young adults, a population particularly at risk of negative sexual health outcomes. Setting: College students from the US Pacific Northwest participated in the project. Method: Participants heard about three sexual health text message services, completed questionnaires and discussed each type. Focus groups were gender-separated. Results: Participants reported that services that allowed them to connect with a health educator would be highly useful, but automated services would be beneficial in bringing new topics to their attention. Participants perceived the purpose of the service types as different and felt each could be a useful resource, depending on the situation. Regardless of service type, participants wanted to personalise their experience. Participants wanted messages tailored to them and options to interact with the systems, from influencing topic selection to message timing. Conclusion: Each of the service types can be useful for young adults. Young adults perceive services that provide the opportunity to tailor information and interact with the system as beneficial.
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Papadia, Gabriele, Massimo Pacella, Massimiliano Perrone, and Vincenzo Giliberti. "A Comparison of Different Topic Modeling Methods through a Real Case Study of Italian Customer Care." Algorithms 16, no. 2 (February 8, 2023): 94. http://dx.doi.org/10.3390/a16020094.
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The paper deals with the analysis of conversation transcriptions between customers and agents in a call center of a customer care service. The objective is to support the analysis of text transcription of human-to-human conversations, to obtain reports on customer problems and complaints, and on the way an agent has solved them. The aim is to provide customer care service with a high level of efficiency and user satisfaction. To this aim, topic modeling is considered since it facilitates insightful analysis from large documents and datasets, such as a summarization of the main topics and topic characteristics. This paper presents a performance comparison of four topic modeling algorithms: (i) Latent Dirichlet Allocation (LDA); (ii) Non-negative Matrix Factorization (NMF); (iii) Neural-ProdLDA (Neural LDA) and Contextualized Topic Models (CTM). The comparison study is based on a database containing real conversation transcriptions in Italian Natural Language. Experimental results and different topic evaluation metrics are analyzed in this paper to determine the most suitable model for the case study. The gained knowledge can be exploited by practitioners to identify the optimal strategy and to perform and evaluate topic modeling on Italian natural language transcriptions of human-to-human conversations. This work can be an asset for grounding applications of topic modeling and can be inspiring for similar case studies in the domain of customer care quality.
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Manh, Pham Tien, Le Thi Bich Ngan, and Tran Anh Tuan. "THE DETERMINANTS OF USING FINTECH IN SERVICES OF LISTED SECURITIES FIRMS IN VIETNAM." Journal of Southwest Jiaotong University 57, no. 1 (February 28, 2022): 434–44. http://dx.doi.org/10.35741/issn.0258-2724.57.1.40.
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Fintech and its applications have become a well-known topic in recent years, owing to the rapid advancement of technology in all parts of life. However, the use of fintech in securities firms is still a relatively new topic in academic areas. This research focuses on understanding the factors affecting the application of fintech in service activities at 22 listed securities firms in Vietnam in 2010-2021. By using the ordered logit regression, the authors find out that, the variables that affect the use of fintech in the services of securities companies including revenue from securities brokerage services; securities depository services revenue; total service revenue of securities company; brokerage services cost; securities depository services cost; financial advisory services cost; net services revenue and cost of securities firm; and market capitalization of those companies. The findings of this study are being used to make recommendations for securities firms striving to enhance their performance by adopting fintech into their operations.
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Creaco, Enrico, and Giuseppe Pezzinga. "Advances in Water Distribution Networks." Water 10, no. 11 (October 30, 2018): 1546. http://dx.doi.org/10.3390/w10111546.
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This Editorial presents a representative collection of 10 papers, presented in the Special Issue on Advances in Water Distribution Networks (WDNs), and frames them in the current research trends. Four topics are mainly explored: simulation and optimization modelling, topology and partitioning, water quality, and service effectiveness. As for the first topic, the following aspects are dealt with: pressure-driven formulations, algorithms for the optimal location of control valves to minimize leakage, benefits of water discharge prediction for the remote real time control (RTC) of valves, and transients generated by pumps operating as turbines (PATs). In the context of the second topic, a topological taxonomy of WDNs is presented, and partitioning methods for the creation of district metered areas (DMAs) are compared. With regards to the third topic, the vulnerability to trihalomethane is assessed, and a statistical optimization model is presented to minimise heavy metal releases. Finally, the fourth topic focusses on estimation of non-revenue water (NRW), inclusive of leakage and unauthorized consumption, and on assessment of service under intermittent supply conditions.