{"title":"Allegro: A Metrics Framework for Globally Distributed Service Delivery","authors":"D. Oppenheim, Yi-Min Chee, L. Varshney","doi":"10.1109/SRII.2012.57","DOIUrl":"https://doi.org/10.1109/SRII.2012.57","url":null,"abstract":"Globalization and specialization are growing trends in service organizations. Engineering and operating optimal structures within these service organizations requires coordinating the doing of service work, which in turn requires capturing and sharing information across localized teams. There is a need for a metrics framework, implemented in information technology, to make this possible. This paper describes the need for a metrics framework in global service delivery, properties of effective metrics frameworks, and Allegro, a metrics framework that is designed specifically to support globally distributed human intensive work, such as complex software development. Allegro is based on an abstract model of service delivery as a decomposition into a network of atomic service requests, each formalized according to a protocol we call Work-as-a-Service (WaaS). In this approach, Metrics do not only fulfill their traditional roles in driving quality and improvement. They also serve as configurable sensors essential to the effective coordination of a distributed service network.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131012498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards the Dynamic Relocation of Ambulances in Germany: The Risk of Being Too Late","authors":"Melanie Reuter-Oppermann, Wibke Michalk","doi":"10.1109/SRII.2012.78","DOIUrl":"https://doi.org/10.1109/SRII.2012.78","url":null,"abstract":"This article gives an introduction to models for the dynamic relocation of ambulances. Furthermore, differences between the German and the Anglo-American System of ambulance location models are highlighted. In a thorough literature review, factors that influence the risk of violating legally fixed maximum response times are identified and a method that allows the validation of these factors for the German emergency medical service (EMS) is presented.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134176998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Top Down Approach to Enterprise Monitoring Using Change Point Detection","authors":"Bharat Krishnamurthy","doi":"10.1109/SRII.2012.96","DOIUrl":"https://doi.org/10.1109/SRII.2012.96","url":null,"abstract":"Monitoring is a key aspect of IT service management of any enterprise. Besides providing visibility into the IT infrastructure, it provides information required to manage resources, plan for growth and ensure uptime and availability of applications. At the higher levels of monitoring that are vital to service management, key business and IT processes are constantly monitored to collect valuable data about the performance and availability of the processes. Traditionally, in the bottom-up approach towards monitoring, these IT and business metrics may be defined as an aggregation of multiple lower level metrics which in turn may be defined as an aggregation of other metrics. The complexity of these business and IT processes is captured through modeling (e.g.: CIM) which is both time consuming and requires a high level of skill and understanding of the infrastructure. It requires an in-depth understanding of the various systems that work together to provide the services that need to be monitored. In large enterprises where business and IT change rapidly to adapt to market requirements, configuring a monitoring system to monitor new processes by creating accurate models can be a challenge. Due to the time required to construct these monitoring models, there is a temporal lack of visibility into the behavior of the processes which is a matter of concern to the business and IT teams in the enterprise. In this paper, we present a top-down approach towards monitoring high level business and IT processes. We present a framework that monitors the highest level metrics and detects changes in their behavior without the need for comprehensive modeling, thereby allowing these processes to be quickly and efficiently monitored. We also present examples and results from a deployment of the system in the IT environment of a large telecom company.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"26 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132694514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Risk Mediation Cloud Service: Constructing Statistical Models of Patient Adherence for Sustainable Case Management","authors":"P. Hsueh, S. Ramakrishnan, Henry Chang","doi":"10.1109/SRII.2012.126","DOIUrl":"https://doi.org/10.1109/SRII.2012.126","url":null,"abstract":"Regimen adherence is a common problem among chronic disease patients and has posed tremendous challenges to sustainable case management. Intervening on every single non-adherence case often creates unnecessary burdens for providers and considerable annoyance for patients, leading to wastes of resources and increasing patient churn rates. In current practice, mitigating the risk of non-adherence cases is a labor-intensive task that requires additional efforts from healthcare professionals to handle on a case-by-case basis. Previous work has investigated into the possibility of modeling patient adherence behavior, but left questions about the accountability of such models in services. With the prevalence of mobile devices and maturing cloud-based service models, more patient data are fed to cloud services from a variety of sources (e.g., health records, surveys, sensors, embedded GPS modules). In this paper, we propose a risk mitigation service that can utilize heterogeneous patient behavioral data sources to construct statistical models of adherence and estimate intervention need. We design evaluations to examine a number of dimensions in statistical models of patient adherence and their impacts on the task of determining critical cases and patient propensity to churn. Finally, we demonstrate how the new service is designed to assist adherence case management with models that can classify cases of different intervention needs and discuss its applications, limitations, and sustainability issues.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130843958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Rozsnyai, Geetika T. Lakshmanan, Vinod Muthusamy, Rania Y. Khalaf, M. Duftler
{"title":"Business Process Insight: An Approach and Platform for the Discovery and Analysis of End-to-End Business Processes","authors":"S. Rozsnyai, Geetika T. Lakshmanan, Vinod Muthusamy, Rania Y. Khalaf, M. Duftler","doi":"10.1109/SRII.2012.20","DOIUrl":"https://doi.org/10.1109/SRII.2012.20","url":null,"abstract":"Tracking and analyzing the execution of semi-structured processes is essential for understanding process behavior and its evolution, increasing the effectiveness of business operations, and managing operational risk. A semi structured process is a single process from the perspective of the business but is executed across loosely coupled, heterogeneous, distributed systems and may be cross-organizational and contain human interactions and human decision making. Our goal is to enable the management of semi-structured processes by providing improved semi-automated visibility into their behavior and improved runtime management of their execution by leveraging process intelligence and process-aware analytics. In this paper we present a methodology, system architecture and implementation of a platform for end to end process insight and analytics for the full life-cycle of semi-structured processes: from discovery through execution and evolution. We describe the algorithms employed and how they interact together to create a collaborative platform for business users to analyze and extract insight from such processes.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123754282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Method for Modeling and Validation of Cross Enterprise Services Composition","authors":"F. Chen, Changrui Ren, Qinhua Wang, Jinfeng Li","doi":"10.1109/SRII.2012.62","DOIUrl":"https://doi.org/10.1109/SRII.2012.62","url":null,"abstract":"Business Process Management is widely used in enterprises, and modeling and validation of cross enterprise services composition is key challenge to ensure the correctness of cross enterprise collaboration. As the detail of a business process in one enterprise is not suitable for open to other enterprises, this makes the modeling and validation of cross enterprise services composition more complex than traditional service composition. Target on this problem, a new method is proposed. Local business processes is modeled as a composition of local activities. Cross enterprise business process is modeled as a composition of concurrent local business processes. In order to validate the cross enterprise business process, different input messages are provide to cover all branches of condition and PI Calculus expression will continue evolve. By analyzing the input messages and the result of calculus, it's easy to find the error. In order to hide the detail of the local process, equivalence rule is introduced to provide an equivalent process for collaboration. The equivalent process is equivalent to original process as they have same input and output. This novel Cross enterprise services composition method provides new feature than traditional service composition method. Firstly, it makes it available for modeling and validation of cross enterprise services composition based on strict formal method. Secondly, it makes it safe to open the business process of an enterprise to other enterprise because the business process open is not the real business process but an equivalent process with same input and output.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"142 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125848261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the Analysis of Global Team Performance","authors":"N. Zhou, Wesley M. Gifford, K. Ratakonda","doi":"10.1109/SRII.2012.113","DOIUrl":"https://doi.org/10.1109/SRII.2012.113","url":null,"abstract":"Motivated by the need to achieve high profitability, many projects are delivered through teams distributed between a home country and one or more global development countries. As globalization becomes more widespread, problems with productivity and quality have surfaced. To maximize the benefit of utilizing a global team, a quantitative analysis is required to relate the global team performance to the underlying factors affecting the team. Starting from a general model that relates project size, effort, duration, and productivity, we show how effort and duration changes affect productivity. Using this model we show how to address the combined impact of multiple globalization factors, each causing changes in effort and duration, on productivity. Then, we focus on analyzing the individual effects of globalization factors on performance, such as under-communication due to time zone differences, work hour slippage due to working time alignment issues (different vacation periods, holidays, and regular working hours), and additional effort due to language barriers. For each of those factors, we further quantify the additional effort and time needed in global project delivery. Combining these results, we estimate the potential team productivity, and the change in cost of delivering a project as a function of the globalization factors and project characteristics.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125964018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Marketer Perceptions of Quality on the Success of Mobile Shopping System and Its Impact on Performance","authors":"Lisa Y. Chen","doi":"10.1109/SRII.2012.14","DOIUrl":"https://doi.org/10.1109/SRII.2012.14","url":null,"abstract":"Although mobile shopping (m-shopping) has the potential to provide opportunities to exploit new revenue streams for businesses and expand shopping availability for consumers, research on m-shopping remains limited and thus offers insufficient evidence to address how effective adoption and diffusion of information systems success is explicitly excluded in the context of m-shopping. Therefore, based on the IS success model, this study purports to explore the link between m-shopping quality and organizational performance in effort to provide insight into marketers' perceptions of this value-added channel. Survey data is collected via a self-administered questionnaire to test the hypotheses while statistical analyses for quantitative data is conducted using the Partial Least Squares (PLS) regression technique to analyze the measurement and structural models. As such, the results show that all the hypotheses are fully supported with statistical significance in this study. Discussion of the implications and suggestions for future study are also included.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125044068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Passakon Prathombutr, W. Pattara-Atikom, Pimwadee Chaovalit
{"title":"Traffy Social Eyes: The Traffic CCTV Service Platform","authors":"Passakon Prathombutr, W. Pattara-Atikom, Pimwadee Chaovalit","doi":"10.1109/SRII.2012.98","DOIUrl":"https://doi.org/10.1109/SRII.2012.98","url":null,"abstract":"Traffic Information like a congestion color displayed on a navigator or a car accident reported over a FM radio is a necessary information for a commuter in a big city today. However to acquire the traffic data, one may need to deal with a huge investment and maintenance cost on vast sensors along a roadway, an authorization to install the equipment, a data privacy issue, and etc.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126749749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Narendra, Karthikeyan Ponnalagu, N. Zhou, Wesley M. Gifford
{"title":"Towards a Formal Model for Optimal Task-Site Allocation and Effort Estimation in Global Software Development","authors":"N. Narendra, Karthikeyan Ponnalagu, N. Zhou, Wesley M. Gifford","doi":"10.1109/SRII.2012.58","DOIUrl":"https://doi.org/10.1109/SRII.2012.58","url":null,"abstract":"Motivated by the desire to cut costs and development effort, software organizations have increasingly adopted a global development approach. However, the cost savings, if any, from this globalization, is often offset by hidden costs such as handoffs between sites, synchronization of development among sites, integration of software developed at distributed sites, language/cultural issues, travel costs, communication costs, etc. Although several empirical studies have been conducted on this issue, due to the lack of an integrated formal model, such studies have not produced consistent and usable results. To that end, in this paper, we present an integrated formal model for analyzing global software development. Our model comprises two parts. First, we consider all tasks in a software project that can be geographically distributed, and the possible sites where they can be allocated. We develop an optimal task-site allocation model. Our approach then generates an effort estimate for the new allocation, which is based on the following factors: expected general percentage allocation of overall effort estimate to each task in the development lifecycle, and effort estimate for executing a task at a particular site (in terms of the effort estimate for executing the same task at the home site, viz., without globalization). The final effort estimate is therefore derived as a function of the effort estimate for executing the overall software project in the home site; this estimate provides project managers with a more accurate understanding of expected cost savings from globalization, if any. Throughout our paper, we illustrate our approach using a real global software development project at IBM as a running example.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127033237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}