Journal articles on the topic 'Events correlations in business processes'
To see the other types of publications on this topic, follow the link: Events correlations in business processes.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Events correlations in business processes.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Gong, Ping, David Knuplesch, Zaiwen Feng, and Jianmin Jiang. "bpCMon." International Journal of Web Services Research 14, no. 2 (April 2017): 81–103. http://dx.doi.org/10.4018/ijwsr.2017040105.
Full textAbstract:
Business processes compliance monitoring checks whether running business processes comply with involved compliance rules. Business processes in modern enterprise are rarely supported by a single and centralized workflow system, but instead implemented over different applications (e.g., CRM, ERP, WfMS, and legacy systems). The running data (i.e., event) about process executions are scattered across these applications. Under such circumstance, understanding the compliance of running processes entails the compliance monitoring enabling to correlate events from different applications and even different process instances. This paper introduces a framework named as bpCMon for business process compliance monitoring. bpCMon consists of an expressive compliance rule language ECL and a rule system ERS. ECL is a pattern-based formal language for specifying compliance rules of multiple process perspectives, and also allows for describing event-correlation conditions. ERS, generated from compliance rules in ECL, in turn plays as a compliance monitor enabling to correlate events efficiently by means of an indexing structure created from event-correlation conditions. The applicability of bpCMon is demonstrated by experiments on real-world data sets, and the efficiency of bpCMon is illustrated by comparing with related approaches. Overall, bpCMon enables business process compliance monitoring to meet real-world requirements.
2
Polpinij, Jantima, Aditya Ghose, and Hoa Khanh Dam. "Mining business rules from business process model repositories." Business Process Management Journal 21, no. 4 (July 6, 2015): 820–36. http://dx.doi.org/10.1108/bpmj-01-2014-0004.
Full textAbstract:
Purpose – Business process has become the core assets of many organizations and it becomes increasing common for most medium to large organizations to have collections of hundreds or even thousands of business process models. The purpose of this paper is to explore an alternative dimension to process mining in which the objective is to extract process constraints (or business rules) as opposed to business process models. It also focusses on an alternative data set – process models as opposed to process instances (i.e. event logs). Design/methodology/approach – The authors present a new method of knowledge discovery to find business activity sequential patterns embedded in process model repositories. The extracted sequential patterns are considered as business rules. Findings – The authors find significant knowledge hidden in business processes model repositories. The hidden knowledge is considered as business rules. The business rules extracted from process models are significant and valid sequential correlations among business activities belonging to a particular organization. Such business rules represent business constraints that have been encoded in business process models. Experimental results have indicated the effectiveness and accuracy of the approach in extracting business rules from repositories of business process models. Social implications – This research will assist organizations to extract business rules from their existing business process models. The discovered business rules are very important for any organization, where rules can be used to help organizations better achieve goals, remove obstacles to market growth, reduce costly mistakes, improve communication, comply with legal requirements, and increase customer loyalty. Originality/value – There has very been little work in mining business process models as opposed to an increasing number of very large collections of business process models. This work has filled this gap with the focus on extracting business rules.
3
Krämer, Bernd J., and Thomas Koch. "Distributed Systems Management Software-in-the-Loop." International Journal of Software Engineering and Knowledge Engineering 08, no. 01 (March 1998): 55–76. http://dx.doi.org/10.1142/s0218194098000066.
Full textAbstract:
IT experts expect open distributed processing to become the predominant computing infrastructure in the late nineties. All computer supported work places of large enterprises and organizations will then be networked and will be integrated into cross-regional and cross-sector business and information processes. The size and complexity of such applications, the local autonomy, distribution and heterogeneity of participating subsystems, and their asynchronous interaction, however, require new architectures, strategies, and tools for their technical management. In previous work we placed a production rule interpreter into the monitoring, decision, control action loop to provide flexible, operational semantics of well-understood management policies. In this article we extend this work in two directions. First we map the structure and dynamic behavior of policies into a graph representation. This semantic representation enables a systematic prediction of the effects of policy executions and allows for a better impact analysis in case of policy changes. Then we introduce a declarative event definition mechanism. It supports a causal and temporal correlation of individual events and serves to instantiate and adapt a predefined generic event handler to the specific needs of the actual management application. Such event handlers join in the interaction between monitoring agents and policy interpreter. By event correlation they may reduce the number of events triggering management actions significantly and help to filter secondary events.
4
Masaev, Sergey Nikolaevich. "ALGORITHM FOR ASSESSING THE STATE OF THE SYSTEM (SANCTIONS, HR, TQM, PMBOK, COVID-19, FIRE SAFETY) BY THE METHOD OF INTEGRATED INDICATORS." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2021, no. 1 (January 25, 2021): 36–48. http://dx.doi.org/10.24143/2072-9502-2021-1-36-48.
Full textAbstract:
The article considers the integral indicators as one of the methods for studying the behavior of dynamic systems, evaluating the change in the system under the influence of environmental parameters. Correlation of the observed process parameters in dynamics gives the integral value of changes in the operational conditions (modes) of the system and helps predict various events, stressful situations and crises. The modes of activity of a woodworking enterprise, the implementation of a project on it and modes of operation of a construction enterprise are considered. Each enterprise is formalized separately as dynamic systems, the parameters of which are performance indicators: the structure of fixed assets, the structure of sales, logistics of the movement of material assets, the structure of owners, etc. The author's program complex has developed and analyzed 15 operating modes of the dynamic system. The process of fulfilling all operating modes has been simulated using a description of business processes, as well as the implementation of a quality management system, the PMBOK project management standard, a fire safety system, and operating in conditions of Covid-19 infection. The states of the dynamic system were obtained by the integral method indicators. The study showed characteristic changes in the correlated values of the system parameters and the performance of business processes with a changed control signal and allowed to create a solution space for the system.
5
Oluwalope, Adenuga Abiola, and Ojediran Sunday. "Impact of Budgetary Participation and Organizational Commitment on Managerial Performance in Nigeria." Accounting and Finance Research 6, no. 3 (July 16, 2017): 48. http://dx.doi.org/10.5430/afr.v6n3p48.
Full textAbstract:
Following the prevailing uncertainties in Nigerian business environment, managers and stakeholders require the need to be poised, prepared and plan to compete favourably under the rapidly shifting condition in order to remain relevant and profitable. This study examines the relationship between budget participation, organizational commitment and managerial performance in Nigeria. Primary data were obtained from copies of questionnaire distributed to members of staff at managerial levels at Nestle NIG-food, Nigerian Breweries-drinks, Flour mills-food, 7up Bottling company-drinks, Cadbury-food, Unilever-food, Vitafoam NIG-others categorized based on the nature of their business and analysed through use of Statistical Package of Social Science (SPSS, Version 20) as correlation and regression were used to evaluate relationships among variables. Findings revealed that participation in budget activities and commitment to work done by individuals in an organization positively impacts managerial performance, hence this assertion cannot be overlooked or ignored as it supports the empirical body of positive impacts. It is therefore recommended that organizations should engage in activities that will promote budget participation and commitment and also consider other processes and events that could be explored upon towards enhancing managerial performance.
6
Gorgadze, Aleksei, Anastasia Sinitsyna, Julia Trabskaya, and To'neill Bala. "The impact of new affective components on museum visitor retention: the context of major city event using SEM and CTree." International Journal of Event and Festival Management 12, no. 2 (May 27, 2021): 203–23. http://dx.doi.org/10.1108/ijefm-11-2020-0071.
Full textAbstract:
PurposeThe main purpose of this study is to examine the relationship between ranges of affective components that have an impact on the revisit intention of museum visitors, in the context of a major city event. The study reveals the most significant factors that affect decision-making by applying the findings to a structural equation modelling (SEM) and conditional inference tree (CTree).Design/methodology/approachThe paper utilises face-to-face survey research at the “Long Night of Museums” event in Saint Petersburg, 298 questionnaires were completed on the night of the event. The empirical part of the research is based on the SEM and interpreted by using the CTree. The SEM model measures the direct and indirect influence of the cognitive and affective components; the CTree enables the testing of both component and the joint effect they both produce.FindingsThis study shows a strong indirect correlation between the cognitive component of the major city event and the revisit intention of museum visitors. When focussing on affective components, both the SEM and the CTree demonstrated that attractiveness and atmosphere are revealed to be the most impactful elements regarding visitor retention and repeat custom. The research allows for a deeper understanding of visitor behaviours, intentions and their decision-making processes.Practical implicationsThe results of the study allow museum managers to understand how to create repeat custom amongst visitors, by appreciating the importance of participation in major city events and the role that attraction and atmosphere play when creating intention for repeat visit. The research has uncovered which dimensions are the most important to visitors, and as a result, these particular dimensions should be thoroughly developed by museums in future in order to attract and repeat visits. This study has demonstrated the practical implications for museums participating in city events. When considering policy makers, this particular research provides an opportunity to develop recommendations for future city events, as well as using the CTree to assess and predict the effectiveness of visitor behaviour.Originality/valueThis is an original study which aims to integrate the impact of the perceived value of the cognitive component and a new range of affective elements regarding museum retention in the context of a major city event. The study includes newly developed dimensions of perceived value, as well as a unique focus on affective dimensions such as – atmosphere and attraction. Another point of originality is provided by using a CTree, which captures an in depth understanding of the intention formation process. This study provides an opportunity to advance our understanding of visitor decision-making processes.
7
Adii, Asaf, David Botzer, Opher Etzion, and Tali Yatzkar-Haham. "Monitoring business processes through event correlation based on dependency model." ACM SIGMOD Record 30, no. 2 (June 2001): 610. http://dx.doi.org/10.1145/376284.375759.
Full text
8
Gimadeev, Sh M., A. I. Latypov, S. V. Radchenko, and D. F. Khaziakhmetov. "The effect of hospital information systems on healthcare facilities efficiency indicators." Kazan medical journal 96, no. 2 (April 15, 2015): 227–33. http://dx.doi.org/10.17750/kmj2015-227.
Full textAbstract:
Aim. Comparative assessment of an automation facilities influence on labor input and business processes’ productivity indicators related to primary functions of healthcare facilities of different types.Methods. We performed medical personnel’s work timing in emergency rooms, as well as medical records timing in clinical departments. The automated electronic health records processing while operating hospital information systems created by authors among different types of healthcare facilities was also performed. Output data included personal health record operation periods values and system events timestamps.Results. The data concerning hospital information systems’ influence on electronic health records operating time changes and hospitalization delays was obtained. A correlation between the initial hospitalization delay and hospital capacity was discovered (r=0.917). The emergency room automation significantly reduces hospitalization delays. Under clinical information system operating conditions, the primary examination time recording increases twice, while the time spent for all other electronic health records decreases in higher order. Considerable difference between primary examination recording time and the time, necessary for other personal health record registrations, has satisfactory interpretation within the heterogeneous medical data sources integration model, but not within usability model. In general, the gained data does not confirm results of previously published researches pointing the increased time doctors spent for data management in automation conditions.Conclusion. Hospital information systems implementation improved the specialist’s labor productivity and main working processes work capacity. The obtained data indicate a greater influence of automation in large healthcare facilities and reject usability hypothesis of hospital information systems efficiency.
9
Hanna Koptieva and Sergiy Kozub. "SOCIAL RESPONSIBILITY AS A MODERN PRINCIPLE OF PLANNING THE DEVELOPMENT OF A SECURE BUSINESS IN TRADE." European Cooperation 2, no. 46 (April 30, 2020): 55–74. http://dx.doi.org/10.32070/ec.v2i46.83.
Full textAbstract:
The increasing role of society as a factor in the development of a company actualizes the introduction of the corporate social responsibility concept, its boundaries and its impact on economic results. The implementation of corporate social responsibility activities and programs forms a positive image of the company as of a responsible employer, manufacturer and counterparty, which simultaneously strengthens the company's competitive position and increases its level of security. Nevertheless, the integration of environmental and social programs into the company's business processes requires investments and, respectively, the coordination of these projects with strategic business development initiatives to ensure a certain balance between desired goals and real opportunities. That is the reason for the relevance of researching the practice of planning of socially targeted events and determining the relationship between their implementation and the performance results of the company. The article considers the current practice of implementing the principles of corporate social responsibility in the activities of world trading companies in the context of ensuring their economic security. The author of the article investigated the level of implementation of corporate social responsibility tools in the practice of 19 world trade leaders in terms of their turnover. It is proved that trading companies with high rates of corporate sustainability implement social initiatives in accordance with the developed plans and strategies for their implementation. The author identifies priority areas for the implementation of social projects of trading companies, among which the most common are creation of decent working conditions, gender equality, implementation of educational initiatives to rationalize consumption and production in terms of human physiological needs and careful use of resources, of the fight against climate change and their consequences. The hypothesis regarding the dependence of business economic security on the activity of implementation of corporate social responsibility projects was also checked. Based on the correlation analysis, a direct relationship has been established between corporate sustainability indicators and the main performance results of trading companies, which determine their level of economic security.
10
Miloslavskaya, Natalia. "Designing blockchain-based SIEM 3.0 system." Information & Computer Security 26, no. 4 (October 8, 2018): 491–512. http://dx.doi.org/10.1108/ics-10-2017-0075.
Full textAbstract:
Purpose Nowadays, to operate securely and legally and to achieve business objectives, secure valuable assets and support uninterrupted business processes, all organizations need to match a lot of internal and external compliance regulations such as laws, standards, guidelines, policies, specifications and procedures. An integrated system able to manage information security (IS) for their intranets in the new cyberspace while processing tremendous amounts of IS-related data coming in various formats is required as never before. These data, after being collected and analyzed, should be evaluated in real-time from an IS incident viewpoint, to identify an incident’s source, consider its type, weigh its consequences, visualize its vector, associate all target systems, prioritize countermeasures and offer mitigation solutions with weighted impact relevance. Different security information and event management (SIEM) systems cope with this routine and usually complicated work by rapid detection of IS incidents and further appropriate response. Modern challenges dictate the need to build these systems using advanced technologies such as the blockchain (BC) technologies (BCTs). The purpose of this study is to design a new BC-based SIEM 3.0 system and propose a methodology for its evaluation. Design/methodology/approach Modern challenges dictate the need to build these systems using advanced technologies such as the BC technologies. Many internet resources argue that the BCT suits the intrusion detection objectives very well, but they do not mention how to implement it. Findings After a brief analysis of the BC concept and the evolution of SIEM systems, this paper presents the main ideas on designing the next-generation BC-based SIEM 3.0 systems, for the first time in open access publications, including a convolution method for solving the scalability issue for ever-growing BC size. This new approach makes it possible not to simply modify SIEM systems in an evolutionary manner, but to bring their next generation to a qualitatively new and higher level of IS event management in the future. Research limitations/implications The most important area of the future work is to bring this proposed system to life. The implementation, deployment and testing onto a real-world network would also allow people to see its viability or show that a more sophisticated model should be worked out. After developing the design basics, we are ready to determine the directions of the most promising studies. What are the main criteria and principles, according to which the organization will select events from PEL for creating one BC block? What is the optimal number of nodes in the organization’s BC, depending on its network assets, services provided and the number of events that occur in its network? How to build and host the SIEM 3.0 BC infrastructure? How to arrange streaming analytics of block’s content containing events taking place in the network? How to design the BC middleware as software that enables staff to interact with BC blocks to provide services like IS events correlation? How to visualize the results obtained to find insights and patterns in historical BC data for better IS management? How to predict the emergence of IS events in the future? This list of questions can be continued indefinitely for a full-fledged design of SIEM 3.0. Practical implications This paper shows the full applicability of the BC concept to the creation of the next-generation SIEM 3.0 systems that are designed to detect IS incidents in a modern, fully interconnected organization’s network environment. The authors’ attempt to begin with a detailed description of the basics for a BC-based SIEM 3.0 system design is presented, as well as the evaluation methodology for the resulting product. Originality/value The authors believe that their new revolutionary approach makes it possible not to simply modify SIEM systems in an evolutionary manner, but to bring their next generation to a qualitatively new and higher level of IS event management in the future. They hope that this paper will evoke a lively response in this segment of the security controls market from both theorists and direct developers of living systems that will implement the above approach.
11
Chakravarty, Payal, and Munindar P. Singh. "Incorporating Events into Cross-Organizational Business Processes." IEEE Internet Computing 12, no. 2 (March 2008): 46–53. http://dx.doi.org/10.1109/mic.2008.35.
Full text
12
Mok, Wai Yin, Charles F. Hickman, and Christopher D. Allport. "Implementing Business Processes." International Journal of Knowledge-Based Organizations 3, no. 2 (April 2013): 36–55. http://dx.doi.org/10.4018/ijkbo.2013040103.
Full textAbstract:
Database triggers are database procedures that are executed automatically when certain events occur and conditions are met. This paper presents a design methodology that helps users implement business processes using database triggers. The contributions of this paper are as follows. First, the proposed methodology uses the Unified Modeling Language (UML). UML is a standard modeling language for the software industry and many commercial CASE (Computer-Aided Software Engineering) tools support UML. Second, many expensive ERP (Enterprise Resource Planning) software systems are employed to implement business processes. The methodology proposed by this paper produces triggers that can be executed on MySQL, an open-source database system that is free for download. Third, as an example of the usefulness of the proposed methodology, the authors present a case study making use of database triggers in a tax audit process. This process involves many steps that require human intervention, and thus is typical of business processes.
13
Pourmirza, Shaya, Remco Dijkman, and Paul Grefen. "Correlation Miner: Mining Business Process Models and Event Correlations Without Case Identifiers." International Journal of Cooperative Information Systems 26, no. 02 (May 18, 2017): 1742002. http://dx.doi.org/10.1142/s0218843017420023.
Full textAbstract:
Process discovery algorithms aim to capture process models from event logs. These algorithms have been designed for logs in which the events that belong to the same case are related to each other — and to that case — by means of a unique case identifier. However, in service-oriented systems, these case identifiers are rarely stored beyond request-response pairs, which makes it hard to relate events that belong to the same case. This is known as the correlation challenge. This paper addresses the correlation challenge by introducing a technique, called the correlation miner, that facilitates discovery of business process models when events are not associated with a case identifier. It extends previous work on the correlation miner, by not only enabling the discovery of the process model, but also detecting which events belong to the same case. Experiments performed on both synthetic and real-world event logs show the applicability of the correlation miner. The resulting technique enables us to observe a service-oriented system and determine — with high accuracy — which request-response pairs sent by different communicating parties are related to each other.
14
Lamghari, Zineb, Maryam Radgui, Rajaa Saidi, and Moulay Driss Rahmani. "An operational support approach for Mining Unstructured Business Processes." Revista de Informática Teórica e Aplicada 28, no. 1 (January 19, 2021): 22–38. http://dx.doi.org/10.22456/2175-2745.106277.
Full textAbstract:
The refined process mining framework contains a set of activities that use extracted information from event logs, discovered models and normative ones. Among these activities, we find those dealing with running events in a Structured Business Process (SBP) context, which are the Detect, the Predict and the Recommend activities. These three activities are nominated as an operational support system that aims at detecting deviations, predicting events and recommending actions. In this regard, operational support systems perform well on SBP while, it stills a challenging task for an Unstructured Business Process (UBP). This puts forward the difficulty of predicting events and recommending actions for UBP, because of its complex structure. In this context, simplification and structuring operations must be applied. Therefore, the intervention of other process mining activities is required for business process simplification and structuring. To this end, we present an operational support approach dealing with UBP, using the refined process mining framework activities.
15
Klamm, Bonnie K., and Marcia L. Weidenmier. "Linking Business Processes and Transaction Cycles." Journal of Information Systems 18, no. 2 (September 1, 2004): 113–25. http://dx.doi.org/10.2308/jis.2004.18.2.113.
Full textAbstract:
Information technology enables companies to move from functional-managed, cycle-based organizations to process-managed organizations. Despite this change, business classes continue to be organized along functional lines and do not provide an overall, integrating framework (Walker and Ainsworth 2001). As a result, students may not understand business processes and the relationship between business processes and accounting transaction cycles. This paper presents a tutorial for a fictitious pizza delivery company to help students understand business processes and link them with accounting transaction cycles. Designed for a first semester accounting information system class, this comprehensive tutorial covers data flow diagrams; flowcharts; and resources, events, and agents (REA) modeling. The tutorial includes review questions and exercises. Teaching notes and solutions follow the tutorial section.
16
SRDIC, GREGOR, and MATJAZ B. JURIC. "MODEL FOR INTEGRATED MONITORING OF BPEL BUSINESS PROCESSES." International Journal of Cooperative Information Systems 22, no. 02 (June 2013): 1350008. http://dx.doi.org/10.1142/s0218843013500081.
Full textAbstract:
Business process execution language (BPEL) does not provide a native support for defining data and metrics, required to perform business activity monitoring (BAM). Existing industry solutions are vendor-specific while platform-independent scientific approaches separate tightly coupled monitoring definitions from the core BPEL processes into external descriptors, thus increasing the complexity of the development, packaging and deployment processes. Furthermore, existing monitoring solutions reuse platform-specific audit trail events. This requires monitor model developers to be familiar with the details of the process implementation and the custom BPEL engine meta-model. To overcome these issues, this paper presents bpelx4bam — a new approach to defining monitoring data and metrics within BPEL processes, based on BPEL extensions. The bpelx4bam promotes these definitions into the first class citizens of the BPEL specification in order to unify and fully integrate BAM into the BPM lifecycle. It enables a cross-platform migration of BAM-enabled business processes, removes the need for separate models and specifications, eases development, packaging and deployment processes, aligns the separation of concerns with actual process roles and introduces BAM-specific and optimized events. Therefore, it presents a solid ground for a future specification or a standard in this area.
17
Dominguez-Rosas, Edgar, and Eleazar Cuautle Flores. "Forward backward multiplicity correlations: a tool to study properties of the proton-proton collisions." EPJ Web of Conferences 172 (2018): 05008. http://dx.doi.org/10.1051/epjconf/201817205008.
Full textAbstract:
Forward-backward multiplicity correlations have been used to study hadron production mechanisms in electron-positron, proton-proton and more recently in leadlead collisions. The experimental results on this correlations and its comparison to different models reveals an incomplete agreement. In this work, we present an study of forward backward multiplicity correlations in proton-proton collisions using PYTHIA event generator, at LHC energies. Detailed analysis is presented in the case of soft and hard QCD processes, incorporating color reconnection model as part of hadronization mechanism and multiple parton interactions effects in the correlations. Our results and its comparison to available experimental data suggest that this kind of correlations are great tools to characterize the events and gives the possibility to disentangle phenomena in hard and soft QCD processes.
18
Baarah, Aladdin, Alain Mouttham, and Liam Peyton. "Architecture of an Event Processing Application for Monitoring Cardiac Patient Wait Times." International Journal of Information Technology and Web Engineering 7, no. 1 (January 2012): 1–16. http://dx.doi.org/10.4018/jitwe.2012010101.
Full textAbstract:
Presented is an architecture for event processing applications that manage business processes, and the authors use a case study of monitoring cardiac patient wait times to evaluate their architecture and illustrate our approach. Event processing applications can collect streams of events from sensors for processing to infer critical medical events in real time. However, to manage business processes, it is critical to understand not only where in the hospital those events occur, but also where in the business process those events are occurring. Metrics, such as wait times, can be computed in real-time by using complex event processing to integrate and aggregate events in support of fine grained monitoring of business processes. The authors evaluate their architecture against both current practice and related works in the literature.
19
Sincorá, Larissa Alves, Marcos Paulo Valadares de Oliveira, Hélio Zanquetto-Filho, and Marcelo Bronzo Ladeira. "Business analytics leveraging resilience in organizational processes." RAUSP Management Journal 53, no. 3 (July 9, 2018): 385–403. http://dx.doi.org/10.1108/rausp-04-2018-002.
Full textAbstract:
Purpose The survival and growth of organizations presently depend on managing processes and capabilities to effectively use large volumes of data from different sources to assist organizations’ strategic and operational goals. This paper aims to test the relationship between organizational analytical capabilities (OAC), the performance results in organizational resilience (OR) and the business process management maturity (BPMM). Design/methodology/approach Based on a survey of companies operating in the state of Espírito Santo, Brazil, a conceptual model was proposed and tested using the partial least squares algorithm. Findings The results confirm the proposed theoretical hypotheses that OAC and BPMM positively impact OR. In addition, the results show that OAC exert a moderating effect on the relationship between BPMM and OR. Practical implications It is understood that stimulating the practice of data and information analysis in the organizational routine translates into a relevant managerial behavior, as this attitude leverages the knowledge development and understanding about how to manage unexpected risk events, enabling companies to assess their ability to react to disruptions, even in terms of operational failures.
20
Resch, Bernd, Florian Hillen, Andreas Reimer, and Wolfgang Spitzer. "Towards 4D Cartography – Four-dimensional Dynamic Maps for Understanding Spatio-temporal Correlations in Lightning Events." Cartographic Journal 50, no. 3 (August 2013): 266–75. http://dx.doi.org/10.1179/1743277413y.0000000062.
Full text
21
Bezak, Nejc, Alja Horvat, and Mojca Šraj. "Analysis of flood events in Slovenian streams." Journal of Hydrology and Hydromechanics 63, no. 2 (June 1, 2015): 134–44. http://dx.doi.org/10.1515/johh-2015-0014.
Full textAbstract:
Abstract The detailed analysis of individual flood event elements, including peak discharge (Q), flood event volume (V), and flood event duration (D), is an important step for improving our understanding of complex hydrological processes. More than 2,500 flood events were defined based on the annual maximum (AM) peak discharge from 50 Slovenian gauging stations with catchment areas of between 10 and 10,000 km2. After baseflow separation, the stations were clustered into homogeneous groups and the relationships between the flood event elements and several catchment characteristics were assessed. Different types of flood events were characteristic of different groups. The flashiness of the stream is significantly connected with mean annual precipitation and location of the station. The results indicate that some climatic factors like mean annual precipitation and catchment related attributes as for example catchment area have notable influence on the flood event elements. When assessing the dependency between the pairs of flood event elements (Q, V, D), the highest correlation coefficients were obtained for the Q-V pair. The smallest correlations or no correlations were observed between the Q and D variables.
22
Vera-Baquero, Alejandro, Ricardo Colomo Palacios, Vladimir Stantchev, and Owen Molloy. "Leveraging big-data for business process analytics." Learning Organization 22, no. 4 (May 11, 2015): 215–28. http://dx.doi.org/10.1108/tlo-05-2014-0023.
Full textAbstract:
Purpose – This paper aims to present a solution that enables organizations to monitor and analyse the performance of their business processes by means of Big Data technology. Business process improvement can drastically influence in the profit of corporations and helps them to remain viable. However, the use of traditional Business Intelligence systems is not sufficient to meet today ' s business needs. They normally are business domain-specific and have not been sufficiently process-aware to support the needs of process improvement-type activities, especially on large and complex supply chains, where it entails integrating, monitoring and analysing a vast amount of dispersed event logs, with no structure, and produced on a variety of heterogeneous environments. This paper tackles this variability by devising different Big-Data-based approaches that aim to gain visibility into process performance. Design/methodology/approach – Authors present a cloud-based solution that leverages (BD) technology to provide essential insights into business process improvement. The proposed solution is aimed at measuring and improving overall business performance, especially in very large and complex cross-organisational business processes, where this type of visibility is hard to achieve across heterogeneous systems. Findings – Three different (BD) approaches have been undertaken based on Hadoop and HBase. We introduced first, a map-reduce approach that it is suitable for batch processing and presents a very high scalability. Secondly, we have described an alternative solution by integrating the proposed system with Impala. This approach has significant improvements in respect with map reduce as it is focused on performing real-time queries over HBase. Finally, the use of secondary indexes has been also proposed with the aim of enabling immediate access to event instances for correlation in detriment of high duplication storage and synchronization issues. This approach has produced remarkable results in two real functional environments presented in the paper. Originality/value – The value of the contribution relies on the comparison and integration of software packages towards an integrated solution that is aimed to be adopted by industry. Apart from that, in this paper, authors illustrate the deployment of the architecture in two different settings.
23
Zhou, Huan, Chuang Lin, and Yi Ping Deng. "Process Mining Based on Statistic Ordering Relations of Events." Advanced Materials Research 760-762 (September 2013): 1959–66. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1959.
Full textAbstract:
An explicit process model is vital in business processes. However, it is complicated and time consuming to create a workflow design. Also discords usually occur between the perceived management processes and the actual workflow processes. Under this condition, the process discovery techniques emerge. The aim is to rebuild a workflow model (e.g. a Petri net) of a business process based on the execution log. The model should give an abstract representation of the system and reproduce the log. This model can be further applied for process redesign/improvement and performance/reliability evaluation. In this paper, we present a new algorithm derived from α-algorithm for process discovery in term of Petri nets, where statistic long distance causal relationship is taken into consideration. Also this algorithm covers some shortages in α-algorithm.
24
Camerer, Colin F., and Howard Kunreuther. "Decision Processes for Low Probability Events: Policy Implications." Journal of Policy Analysis and Management 8, no. 4 (1989): 565. http://dx.doi.org/10.2307/3325045.
Full text
25
Petrosky, Tomio Y., and Ilya Prigogine. "Laws and events: The dynamical basis of self-organization." Canadian Journal of Physics 68, no. 9 (September 1, 1990): 670–82. http://dx.doi.org/10.1139/p90-099.
Full textAbstract:
Traditionally, self-organization has been studied using macroscopic phenomenological descriptions. Recent computer simulations show that "dissipative structures" may be obtained through dynamical programs without any macroscopic assumptions. Self-organization is rooted in dynamics. This leads to the question, "what type of dynamical laws permit self-organization?" The answer refers to unstable dynamical systems, which were widely studied after the pioneering work of Kolmogorov. We concentrate our work on large Poincaré systems with continuous spectrum of the Liouville operator, a generalization of Poincaré's nonintegrable systems. Examples are collisions or quantum jumps. We show that resonances lead to a dynamics of correlations, which can be analyzed using our recent theory of subdynamics. We decompose the dynamical evolution into a set of independent processes. As an example, we study radiation processes as well as the transformation of classical dynamics information into order or disorder processes. We show that in quantum mechanics, our approach leads to a reinterpretation of the collapse of the wave function, owing to the dynamical nature of the system and not to human measurement.
26
Li, Chu Fen. "Characteristics of Bid Processes in Online Auctions." Advanced Materials Research 403-408 (November 2011): 5199–203. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.5199.
Full textAbstract:
Characteristics of online auctions in E-commerce are very critical for the system design in modern Internet E-Business. This study collected data traces in a famous commercial auction site. The collected data traces are examined by statistics and time correlations. Furthermore, more sophistical inspections, such as Hurst parameter and long-range dependence, are performed to probe the characteristics of the data traces. We found that brand name handbags and smart phones have a strong degree of self-similarity. The results are useful to further study the possible reasons for the presented self-similarity.
27
Fethia, Zenak, and Zaoui Lynda. "A New Framework for Reusing Business Processes Via Mashup." International Journal of Open Source Software and Processes 8, no. 4 (October 2017): 52–70. http://dx.doi.org/10.4018/ijossp.2017100103.
Full textAbstract:
This article describes how in the last decade, business process repositories have grown significantly and the need for new processes to answer increasing market demands, has become a central interest of modern enterprises. However, developing open source business processes (BP) from scratch is one of the most time-consuming and high-cost tasks. Therefore, reusing mechanisms becomes a priority to deal with this issue. In this article, it is proposed that an open source user-friendly framework that mixes parts of existing process components to build a new process, in order to respond to a particular goal. This is known as business process mashup (BP_Mashup). The BP_mashup framework presented in this article allows users to perform a mixture of process fragments using a simple interface with a set of graphical and temporal events operators based on a formal model.
28
Cornelissen, Scarlett. "Sport mega-events in Africa: processes, impacts and prospects." Tourism and Hospitality Planning & Development 1, no. 1 (April 2004): 39–55. http://dx.doi.org/10.1080/1479053042000187793.
Full text
29
Hunka, Frantisek. "Managing Processes in the REA Framework." Journal of Emerging Technologies in Accounting 11, no. 1 (December 1, 2014): 27–39. http://dx.doi.org/10.2308/jeta-51108.
Full textAbstract:
ABSTRACT The resources, events, agents (REA) ontology provides rules and guidelines for business process modeling utilizing the value-modeling approach. The core element of this approach is an REA model at the business process level. The REA model is usually governed by an information entity, such as a contract or a schedule. Although the REA model provides all necessary entities and relationships for value modeling, its support for information entity value creation, and its flow to the related process that it will govern, deserves deeper elaboration. The aim of this paper is to examine and propose a solution to information entity value creation within the REA model and its transfer to a related business process in compliance with the REA value chain concept. In order to distinguish standard REA business processes from those in which the information entities are created, these processes are called managing processes.
30
Bolea, Speranta Cecilia. "Language Processes and Related Statistics in the Posts Associated to Disasters on Social Networks." International Journal of Computers Communications & Control 11, no. 5 (August 31, 2016): 602. http://dx.doi.org/10.15837/ijccc.2016.5.2662.
Full textAbstract:
This paper provides a detailed and long-period statistics of the use of synonyms in posts related to specific events on social networks (SNs), an extended analysis of the correlations of the flows of the synonyms in such posts, a study of the applicability of Zipf’s law to posts related to specific events on SNs, and an analysis of the dynamics of the fluxes of synonyms in the posts. The paper also introduces the study of the distances in the phase space for the characterization of the dynamics of the word fluxes on social networks. This article is a partial report on recent research performed for a deeper analysis of social networks and of processes developing on social networks, including used lexicon, dynamics of messages related to a specific type of topic, and relationships of the processes on SNs with external events.
31
Gallisai, R., F. Peters, S. Basart, and J. M. Baldasano. "Mediterranean basin-wide correlations between Saharan dust deposition and ocean chlorophyll concentration." Biogeosciences Discussions 9, no. 7 (July 17, 2012): 8611–39. http://dx.doi.org/10.5194/bgd-9-8611-2012.
Full textAbstract:
Abstract. The fertilizing potential of atmospheric deposition on ocean production in the Mediterranean is a matter of debate. In this study, eight years (from 2000 to 2007) of weekly chlorophyll concentration data derived from SeaWiFS satellite observations and dust deposition data provided by the BSC-DREAM8b model are investigated in a basin-wide scale in the Mediterranean Sea to describe the geographical distribution and dynamics of both variables and to find potential relationships between them. In all analyses the largest positive cross correlation values are found with a time lag of 0 8-d periods. The coupling between annual cycles of chlorophyll and dust deposition may on average explain an 11.5% in chlorophyll variation in a large part of the Mediterranean. The Eastern Mediterranean shows the largest annual correlations, while the responsiveness to large events is small. The contrary is true for the Western and Northwestern Mediterranean where, if anything, only large events may add to the chlorophyll variability. The Central Mediterranean shows the highest responsiveness of chlorophyll to mineral dust deposition with annual contributions from seasonal variability as well as stimulations owing to large events. These results highlight the importance of dust deposition from African and Middle East origin in the potential stimulation of phytoplankton production in the nutrient depleted surface layers of the Mediterranean Sea.
32
Tariq, Zeeshan, Naveed Khan, Darryl Charles, Sally McClean, Ian McChesney, and Paul Taylor. "Understanding Contrail Business Processes through Hierarchical Clustering: A Multi-Stage Framework." Algorithms 13, no. 10 (September 27, 2020): 244. http://dx.doi.org/10.3390/a13100244.
Full textAbstract:
Real-world business processes are dynamic, with event logs that are generally unstructured and contain heterogeneous business classes. Process mining techniques derive useful knowledge from such logs but translating them into simplified and logical segments is crucial. Complexity is increased when dealing with business processes with a large number of events with no outcome labels. Techniques such as trace clustering and event clustering, tend to simplify the complex business logs but the resulting clusters are generally not understandable to the business users as the business aspects of the process are not considered while clustering the process log. In this paper, we provided a multi-stage hierarchical framework for business-logic driven clustering of highly variable process logs with extensively large number of events. Firstly, we introduced a term contrail processes for describing the characteristics of such complex real-world business processes and their logs presenting contrail-like models. Secondly, we proposed an algorithm Novel Hierarchical Clustering (NoHiC) to discover business-logic driven clusters from these contrail processes. For clustering, the raw event log is initially decomposed into high-level business classes, and later feature engineering is performed exclusively based on the business-context features, to support the discovery of meaningful business clusters. We used a hybrid approach which combines rule-based mining technique with a novel form of agglomerative hierarchical clustering for the experiments. A case-study of a CRM process of the UK’s renowned telecommunication firm is presented and the quality of the proposed framework is verified through several measures, such as cluster segregation, classification accuracy, and fitness of the log. We compared NoHiC technique with two trace clustering techniques using two real world process logs. The discovered clusters through NoHiC are found to have improved fitness as compared to the other techniques, and they also hold valuable information about the business context of the process log.
33
Bogataj, Vinko, and Gordana Žurga. "Consistency of Quality Management in Slovenian Organizations." Business Systems Research Journal 9, no. 1 (March 1, 2018): 78–92. http://dx.doi.org/10.2478/bsrj-2018-0007.
Full textAbstract:
Abstract Background: Having efficient quality management system (QMS) is vital for improving organization’s business. In that context, good knowledge of QMS characteristics and their interrelations with organizational business results is very important. Objectives: Purpose of the study is to explore characteristics of elements of QMS consistency in Slovene organizations that have implemented and maintained QMS, and how the QMS characteristics influence business results. Methods/Approach: Data was collected through web survey of quality managers in organizations that have certified QMS according to ISO 9001:2008. For respondent organizations, data on their business results was retrieved from official sources. Special programme for comparisons and results presentation based on contingency analysis was developed, and correlation between QMS consistency elements and financial results of organizations were statistically processed. Results: The results show that for Slovenian organizations with certified QMS, correlations between QMS consistency elements and organizational business results are confirmed. For the majority of consistency elements correlations are significant, and the elements where correlations are insignificant are also exposed. Conclusions: As quality management will gradually become integral part of holistic organizational management, QMS will influence not only organizational management system and processes’ management but also directly on business results.
34
Cuzzocrea, Alfredo, Francesco Folino, Massimo Guarascio, and Luigi Pontieri. "Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events." Information Systems 81 (March 2019): 236–66. http://dx.doi.org/10.1016/j.is.2018.02.001.
Full text
35
Chalyi, Serhii, and Ievgen Bogatov. "METHOD OF CONSTRUCTING AN ATTRIBUTE DESCRIPTION OF THE BUSINESS PROCESS "AS IS" IN THE PROCESS APPROACH TO ENTERPRISE MANAGEMENT." EUREKA: Physics and Engineering 6 (November 30, 2018): 35–40. http://dx.doi.org/10.21303/2461-4262.2018.00786.
Full textAbstract:
The problem of constructing an attribute description of a business process with the automated formation of process models “as is” using logs of information systems in which the tracks of individual processes are not identified is considered. It is shown that to solve this problem, it is advisable to distinguish the distinctive properties of individual business processes represented by the attributes of log events. A method for constructing an attribute description of a business process is proposed. The method is based on the comparison of combinations of attributes for intervals of events of a fixed length and the subsequent selection of subsets of attributes with the same values. The method includes the steps of forming the intervals of events, constructing combinations of attributes for specified intervals, as well as calculating and subsequently averaging the weights of combinations of attributes on these intervals. The result of the method is a weight-ordered set of event attributes and their values, which takes into account the attribute and temporal aspects of the business process. The method creates conditions for a more efficient transition from functional to process management based on splitting the log into processes using the resulting attribute description and subsequent prototyping of business process models “as is” by means of process mining.
36
BOWER, GORDON H., and HEIDI SIVERS. "Cognitive impact of traumatic events." Development and Psychopathology 10, no. 4 (December 1998): 625–53. http://dx.doi.org/10.1017/s0954579498001795.
Full textAbstract:
The impact of traumatic experiences on cognitive processes, especially memory, is reviewed. The major psychological sequelae of trauma (reexperiencing, avoidance, hypervigilance) and posttraumatic stress disorder (PTSD) are noted and related to traditional views of fear conditioning. Evidence indicating enhanced memory for the gist of emotional events is reviewed as are psychological and neurophysiological mechanisms underlying this enhancement. This view is updated by introducing the distinction between explicit and implicit memory and its relevance to traumatic memory and PTSD. The central role of “the experiencing ego” in the storage and retrieval of episodic memories is postulated. This leads into discussion of dissociative experiences during traumas and the occasional amnesia for voluntary recall of the trauma accompanied by involuntary, uncontrollable flashbacks of it. The relationship of dissociative experiences to hypnotizability and to pathological reactions to traumas is discussed, although the interpretation of those correlations is questioned. The article concludes by noting that beyond conditioning of fear, traumas often violate and shake the victims' basic assumptions about the benevolence, justice, and meaningfulness of their physical and social worlds. Psychotherapy with trauma victims then needs to attend not only to extinguishing the victims' fear and feelings of extreme vulnerability, but also to rebuilding their basic beliefs about the relative benevolence of the world.
37
Mikulincer, Mario, Hanania Glaubman, Orna Wasserman, Anat Porat, and Moshe Birger. "Control-Related Beliefs and Sleep Characteristics of Posttraumatic Stress Disorder Patients." Psychological Reports 65, no. 2 (October 1989): 567–76. http://dx.doi.org/10.2466/pr0.1989.65.2.567.
Full textAbstract:
To examine correlations among chronic Posttraumatic Stress Disorder (PTSD), control-related beliefs, and sleep difficulties 7 PTSD casualties and 7 non-PTSD matched subjects were compared in their laboratory sleep patterns as well as in their beliefs about personal control over external and internal events in general and over sleep-related events in particular. Analyses indicated that PTSD casualties had poorer sleep and reported more doubts regarding their ability to control external and internal events than control subjects. Further, we found a significant association between perceived control and sleep difficulties. Results were discussed in terms of Horowitz's conception of intrapsychic processes related to PTSD.
38
Bieger, K., G. Hörmann, and N. Fohrer. "Using residual analysis, auto- and cross-correlations to identify key processes for the calibration of the SWAT model in a data scarce region." Advances in Geosciences 31 (July 6, 2012): 23–30. http://dx.doi.org/10.5194/adgeo-31-23-2012.
Full textAbstract:
Abstract. Hydrological modeling poses a particular challenge in data scarce regions, which are often subject to dynamic change and thus of specific interest to hydrological modeling studies. When a small amount of data available for a catchment is opposed by extensive data requirements by the chosen hydrologic model, ways have to be found to extract as much information from the available data as possible. In a study conducted in the Xiangxi Catchment in the Three Gorges Region in China, the use of residual analysis as well as auto- and cross-correlations for enhanced model evaluation and for the identification of key processes governing the hydrological behavior of the catchment prior to model calibration was tested. The residuals were plotted versus various variables such as time, discharge and precipitation. Also, auto-correlations were calculated for measured and simulated discharge and cross-correlations of measured and simulated discharge with precipitation were analyzed. Results show that the analysis of residuals as well as auto- and cross-correlations can provide valuable information about the catchment response to rainfall events, which can be very helpful for calibration of hydrologic models in data scarce regions.
39
Gonçalves, Fábio Luiz Teixeira, Klaus Dieter Beheng, Oswaldo Massambani, Wolfgang Vautz, and Dieter Klockow. "Scavenging processes of atmospheric particulate matter: a numerical modeling of case studies." Revista Brasileira de Meteorologia 25, no. 4 (December 2010): 437–47. http://dx.doi.org/10.1590/s0102-77862010000400003.
Full textAbstract:
Below cloud scavenging processes have been investigated considering a numerical simulation, local atmospheric conditions and particulate matter (PM) concentrations, at different sites in Germany. The below cloud scavenging model has been coupled with bulk particulate matter counter TSI (Trust Portacounter dataset, consisting of the variability prediction of the particulate air concentrations during chosen rain events. The TSI samples and meteorological parameters were obtained during three winter Campaigns: at Deuselbach, March 1994, consisting in three different events; Sylt, April 1994 and; Freiburg, March 1995. The results show a good agreement between modeled and observed air concentrations, emphasizing the quality of the conceptual model used in the below cloud scavenging numerical modeling. The results between modeled and observed data have also presented high square Pearson coefficient correlations over 0.7 and significant, except the Freiburg Campaign event. The differences between numerical simulations and observed dataset are explained by the wind direction changes and, perhaps, the absence of advection mass terms inside the modeling. These results validate previous works based on the same conceptual model.
40
Montabon, Frank. "Using kaizen events for back office processes: the recruitment of frontline supervisor co-ops." Total Quality Management & Business Excellence 16, no. 10 (December 2005): 1139–47. http://dx.doi.org/10.1080/14783360500235876.
Full text
41
Iliescu, Dragoș, and Alexandra Ilie. "Relația stresului ocupațional cu inteligența emoționalã. O investigație centratã pe douã instrumente de evaluare a inteligenței emoționale." Psihologia Resurselor Umane 9, no. 1 (January 24, 2020): 15–29. http://dx.doi.org/10.24837/pru.v9i1.390.
Full textAbstract:
Based on 2 samples of employees in the financial and banking sector, the authors examine the convergenceof two measures of Emotional Intelligence, namely the Mayer-Salovey-Caruso Emotional Intelligence Test(MSCEIT), and the Emotional Quotient Inventory (EQ-i) which are the products of different approaches to thefocal concept. Furthermore, the authors examine the relationship of both these measures with occupational stress,with specific stressfull events and with coping mechanisms. The study finds only a low convergence of the twomeasures, as well as average correlations with occupational stress and low correlations with individual copingstrategies. Emotional Intelligence measured as an ability has a higher affinity with these processes than EmotionalIntelligence measured as personality
42
Pimenta, Marcio Lopes, Andrea Lago da Silva, and Wendy L. Tate. "Characteristics of cross-functional integration processes." International Journal of Logistics Management 27, no. 2 (August 8, 2016): 570–94. http://dx.doi.org/10.1108/ijlm-01-2014-0010.
Full textAbstract:
Purpose – The purpose of this paper is to characterize the cross-functional integration processes between marketing and logistics, while considering five basic elements: boundary spanning activities, integration factors, level of integration, formality/informality and impacts of integration. Design/methodology/approach – After an extensive literature review, five case studies were performed and in-depth interviews conducted. Both within-case and cross-case analysis was performed to better understand the cross-functional integration processes between marketing and logistics. Findings – A characterization of cross-functional integration in the form of a managerial framework was proposed. This framework presents the elements in a process view, instead of disconnected parts of the integration processes. The framework and process perspective helps to explain the integration process, the roles and impacts of integration within organizations, while considering cultural formality and informality. Research limitations/implications – Qualitative data collection and analysis methods cannot achieve amplitude with respect to sampling nor generalize results. In spite of this, the implications revealed by the propositions may be applied not only to Brazilian companies, but organizations in other countries as well, due to the high level of heterogeneity of the sample, and the fact that they represent multinational organizations. Therefore, further research using broad-based survey data could test the correlations between the elements of cross-functional integration processes. Practical implications – The identification of the cross-functional integration processes within organizations can help managers to facilitate the efforts of integration between marketing and logistics, reducing conflicts and improving business performance. Originality/value – Case studies focussing specifically on five Brazilian organizations help provide evidence for an initial definition of cross-functional integration processes by analyzing five key elements according to their characteristics and respective roles. This research provides a strong foundation for future broad-based survey research.
43
Gaal, L., P. Molnar, and J. Szolgay. "Selection of intense rainfall events based on intensity thresholds and lightning data in Switzerland." Hydrology and Earth System Sciences Discussions 11, no. 1 (January 14, 2014): 593–628. http://dx.doi.org/10.5194/hessd-11-593-2014.
Full textAbstract:
Abstract. This paper presents a method to identify intense warm season storms of convective character based on intensity thresholds and lightning, and analyzes their statistical properties. Long records of precipitation and lightning data at 4 stations and 10 min resolution in different climatological regions in Switzerland are used. Our premise is that thunderstorms associated with lightning generate bursts of high rainfall intensity. We divided all storms into those accompanied by lightning and those without lightning and found the threshold I* that separates intense events based on peak 10 min intensity Ip ≥ I* for a chosen misclassification rate α. The performance and robustness of the selection method was tested by investigating the inter-annual variability of I* and its relation to the frequency of lightning strikes. The probability distributions of the main storm properties (rainfall depth R, event duration D, average storm intensity Ia and peak 10 min intensity Ip) for the intense storm subsets show that the event average and peak intensities are significantly different between the stations, and highest in Lugano in southern Switzerland. Non-parametric correlations between the main storm properties were estimated for the subsets of intense storms and all storms including stratiform rain. The differences in the correlations between storm subsets are greater than those between stations, which indicates that care must be exercised not to mix events when they are sampled for multivariate analysis, e.g. copula fitting to rainfall data.
44
Blender, R., K. Fraedrich, and F. Sienz. "Extreme event return times in long-term memory processes near 1/<i>f</i>." Nonlinear Processes in Geophysics 15, no. 4 (July 16, 2008): 557–65. http://dx.doi.org/10.5194/npg-15-557-2008.
Full textAbstract:
Abstract. The distribution of extreme event return times and their correlations are analyzed in observed and simulated long-term memory (LTM) time series with 1/f power spectra. The analysis is based on tropical temperature and mixing ratio (specific humidity) time series from TOGA COARE with 1 min resolution and an approximate 1/f power spectrum. Extreme events are determined by Peak-Over-Threshold (POT) crossing. The Weibull distribution represents a reasonable fit to the return time distributions while the power-law predicted by the stretched exponential for 1/f deviates considerably. For a comparison and an analysis of the return time predictability, a very long simulated time series with an approximate 1/f spectrum is produced by a fractionally differenced (FD) process. This simulated data confirms the Weibull distribution (a power law can be excluded). The return time sequences show distinctly weaker long-term correlations than the original time series (correlation exponent γ≈0.56).
45
Mello, C. R., L. D. Norton, N. Curi, S. N. M. Yanagi, and A. M. Silva. "El-Niño southern oscillation and rainfall erosivity in the headwater region of the Grande River Basin, Southeast Brazil." Hydrology and Earth System Sciences Discussions 8, no. 6 (December 7, 2011): 10707–38. http://dx.doi.org/10.5194/hessd-8-10707-2011.
Full textAbstract:
Abstract. Relationships between regional climate and oceanic and atmospheric anomalies are important tools in order to promote the development of models for predicting rainfall erosivity, especially in regions with substantial intra-annual variability in the rainfall regime. In this context, this work aimed to analyze the rainfall erosivity in headwaters of Grande River Basin, Southern Minas Gerais State, Brazil. This study considered the two most representative environments, the Mantiqueira Range (MR) and Plateau of Southern Minas Gerais (PSM). These areas are affected by the El Nino Southern Oscillation (ENSO) indicators Sea Surface Temperature (SST) for Niño 3.4 Region and Multivariate ENSO Index (MEI). Rainfall erosivity was calculated for individual rainfall events from January 2006 to December 2010. The analyses were conducted using the monthly data of ENSO indicators and the following rainfall variables: rainfall erosivity (EI30), rainfall depth (P), erosive rainfall depth (E), number of rainfall events (NRE), number of erosive rainfall events (NEE), frequency of occurrence of an early rainfall pattern (EP), occurrence of late rainfall pattern (LP) and occurrence of intermediate rainfall patter (IP). Pearson's coefficient of correlation was used to evaluate the relationships between the rainfall variables and SST and MEI. The coefficients of correlation were significant for SST in the PSM sub-region. Correlations between the rainfall variables and negative oscillations of SST were also significant, especially in the MR sub-region, however, the Person's coefficients were lesser than those obtained for the SST positive oscillations. The correlations between the rainfall variables and MEI were also significant but lesser than the SST correlations. These results demonstrate that SST positive oscillations play a more important role in rainfall erosivity, meaning they were more influenced by El-Niño episodes. Also, these results have shown that the ENSO variables have potential to be useful for rainfall erosivity forecasting in this region.
46
Purchase, Sharon, Christina Kum, and Doina Olaru. "An analysis of technical and commercialization paths for an innovation trajectory." Journal of Business & Industrial Marketing 32, no. 6 (July 3, 2017): 848–63. http://dx.doi.org/10.1108/jbim-06-2015-0111.
Full textAbstract:
Purpose The purpose of this study is to investigate sequences of event and the resulting innovation paths and trajectories followed by a university spin-off organization. Design/methodology/approach A single longitudinal case study methodology was applied to analyze innovation events and paths along the trajectory. Narrative methods were used to analyze actor perceptions on innovation processes/events. Findings The study categorizes events and paths in two categories, technical and commercialization, and finds that lock-in events matter for convergence of an innovation trajectory. The results indicate that understanding critical events may assist timely interventions in the innovation paths, thus potentially avoiding disruptions of the development of an innovation trajectory. The temporal processes reveal contrasting convergence–divergence patterns in the trajectory, depending on the types of events that occur. Research limitations/implications Using a single case data may limit the applicability of the findings, which calls for future research. Practical implications Industries could monitor the technical and commercialization paths as a strategy to reduce “vulnerability” of the innovation trajectory and possible negative impacts. Knowledge about the role of the CEO is key for a university spin-off organization. Originality/value This study presents a new typology of events and paths, identifies and characterizes lock-in events and shows the relatively fragile dexterity between convergent and divergent paths along an innovation trajectory.
47
McCollom, Marion. "Organizational Stories in a Family-Owned Business." Family Business Review 5, no. 1 (March 1992): 3–24. http://dx.doi.org/10.1111/j.1741-6248.1992.00003.x.
Full textAbstract:
This article explores the relationship of the family and business systems in a family-owned retail business. A group of 565 organizational stories collected in in-depth fieldwork is analyzed to reveal how family and nonfamily employees experience membership in a family business system. The argument is made that the stories reflect, in the events they describe and in the interpretations they offer, the day-to-day processes by which relations between the family and business systems are created and sustained. At Esteys, organizational stories help to construct a system dynamic that reinforces the family's influence over the business.
48
van der Aalst, Wil. "Spreadsheets for business process management." Business Process Management Journal 24, no. 1 (February 2, 2018): 105–27. http://dx.doi.org/10.1108/bpmj-10-2016-0190.
Full textAbstract:
Purpose Process mining provides a generic collection of techniques to turn event data into valuable insights, improvement ideas, predictions, and recommendations. This paper uses spreadsheets as a metaphor to introduce process mining as an essential tool for data scientists and business analysts. The purpose of this paper is to illustrate that process mining can do with events what spreadsheets can do with numbers. Design/methodology/approach The paper discusses the main concepts in both spreadsheets and process mining. Using a concrete data set as a running example, the different types of process mining are explained. Where spreadsheets work with numbers, process mining starts from event data with the aim to analyze processes. Findings Differences and commonalities between spreadsheets and process mining are described. Unlike process mining tools like ProM, spreadsheets programs cannot be used to discover processes, check compliance, analyze bottlenecks, animate event data, and provide operational process support. Pointers to existing process mining tools and their functionality are given. Practical implications Event logs and operational processes can be found everywhere and process mining techniques are not limited to specific application domains. Comparable to spreadsheet software widely used in finance, production, sales, education, and sports, process mining software can be used in a broad range of organizations. Originality/value The paper provides an original view on process mining by relating it to the spreadsheets. The value of spreadsheet-like technology tailored toward the analysis of behavior rather than numbers is illustrated by the over 20 commercial process mining tools available today and the growing adoption in a variety of application domains.
49
Kiełtyka, Leszek, and Klaudia Smoląg. "Analysis of Business Intelligence Solutions in the SME Sectors." Applied Mechanics and Materials 795 (October 2015): 123–28. http://dx.doi.org/10.4028/www.scientific.net/amm.795.123.
Full textAbstract:
Business intelligence (BI) solutions are aimed to help managers make decisions in enterprises. Through complex analysis, decision-makers are supported in building strategies of operation. Managers in small and medium-sized enterprises (SME) are also becoming more aware of the fact that conventional methodology of analysis of current events is insufficient. Therefore, the need arises for using the solutions that support the processes of data analysis, finding relationships between each other or pointing to important tendencies and anomalies. These systems were primarily oriented at larger enterprises. However, BI solutions are more and more often adjusted to SME enterprises, offering a complex tool to support decision-making processes. This paper presents key stages in evolution of BI systems and characterizes selected BI systems dedicated to small and medium enterprises (SMEs). Substantial barriers to implementation of BI systems in SMEs were also indicated.
50
Чалый, Сергей Федорович, and Игорь Викторович Левыкин. "Identification of the standby intervals in the business processes based on analysis of the sequence of events." Technology audit and production reserves 5, no. 2(31) (September 29, 2016): 71–76. http://dx.doi.org/10.15587/2312-8372.2016.80970.
Full text