• The Journal of Society for e-Business Studies
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• v.12 no.2
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• pp.219-231
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• 2007

Based on a complex event processing technique, an event analysis method for Business Activity Monitoring(BAM) is developed to provide an early warning for on-going events so that process managers effectively detect and monitor potential risks prior to the completion of the events. In this study, process-based event monitoring procedures to extract events with significant risks are presented; Complex event patterns are defined from historical event log data and risks of events are evaluated based on the patterns. A process-based event monitoring architecture for BAM is also presented. The proposed method has been applied to a service process of a home shopping company.

• Journal of information and communication convergence engineering
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• v.9 no.4
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• pp.379-384
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• 2011

The scope of the problems that could be solved by monitoring and the improvement of the recognition time is directly correlated to the performance of the management function of the business process. However, the current monitoring process of business activities decides whether to apply warnings or not by assuming a fixed environment and showing expressions based on the design rules. Also, warnings are applied by carrying out the measuring process when the event attribute values are inserted at every point. Therefore, there is a limit for distinguishing the range of occurrence and the level of severity in regard to the new external problems occurring in a complicated environment. Such problems cannot be ed. Also, since it is difficult to expand the range of problems which can be possibly evaluated, it is impossible to evaluate any unexpected situation which could occur in the execution period. In this paper, a process-evaluating model based on the goal scenario is suggested to provide constant services through the current monitoring process in regard to the service demands of the new scenario which occurs outside. The new demands based on the outside situation are analyzed according to the goal scenario for the process activities. Also, by using the meta-heuristic algorithm, a similar process model is found and identified by combining similarity and interrelationship. The process can be stopped in advance or adjusted to the wanted direction.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.5
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• pp.492-500
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• 2014

Activity monitoring has been widely recognized as important and critical tools in system monitoring for detection of abnormal behavior. In this research, we propose a data-driven activity monitoring method to measure relative sales performance which is not sensitive to special event which frequently occur in marketing area. Moreover, the proposed method can automatically updates the monitoring threshold that accommodates a drastically changing business environment. The results from simulation and practical case study from sales of electronic devices demonstrate the usefulness and applicability of the proposed activity monitoring method.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.151-156
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• 2021

This paper empirically examines the relationship between one of the major corporate governance attributes; family ownership and the audit committee activity across a sample of 430 publicly traded firms on the Saudi Stock Exchange (Tadawul) for the period 2012-2019. Using the Pooled OLS regression, this study finds that family ownership is negatively associated with audit committee activity. This study reported that family ownership is negatively associated with audit committee activity, giving support to the convergence-of-interest hypothesis. Therefore, the existence of family ownership as a monitoring corporate governance mechanism substitutes the audit committee activity as another monitoring mechanism. This study provides empirical evidence on the associations of two internal corporate governance mechanisms, namely; family ownership and audit committee activity in the Saudi context where there is a paucity of research in this area. The findings of this study provide a new understanding regarding the extent to which family ownership impacts the activity of audit committees in manufacturing companies. Similarly, the companies' management, external auditors, bankers, and companies would also benefit from understanding the influential factors of the audit committee activities.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.4
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• pp.49-58
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• 2008

This paper proposes a methodology to measure the risk level in real-time for Business Activity Monitoring (BAM). A decision-tree methodology was employed to analyze the effect of process attributes on the result of the process execution. In the course of process execution, the level of risk is monitored in real-time, and an early warning can be issued depending on the change of the risk level. An algorithm for estimating the risk of ongoing processes in real-time was formulated. Comparison experiments were conducted to demonstrate the effectiveness of our method. The proposed method detects the risks of business processes more precisely and even earlier than existing approaches.

• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.83-92
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• 2020

Recently, many companies and organizations are interested in predictive process monitoring for the efficient operation of business process models. Traditional process monitoring focused on the elapsed execution state of a particular process instance. On the other hand, predictive process monitoring focuses on predicting the future execution status of a particular process instance. In this paper, we implement the function of the business process remaining time prediction, which is one of the predictive process monitoring functions. In order to effectively model the remaining time, normalization by activity is proposed and applied to the predictive model by taking into account the difference in the distribution of time feature values according to the properties of each activity. In order to demonstrate the superiority of the predictive performance of the proposed model in this paper, it is compared with previous studies through event log data of actual companies provided by 4TU.Centre for Research Data.

• The KIPS Transactions:PartD
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• v.13D no.5 s.108
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• pp.749-754
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• 2006

Recently, many enterprises are introducing information systems for their competitive advantages. For enhancing the utilization level of enterprise information system, it is quite important to monitor the usage states of the information systems continuously. However, most enterprise information systems lack this functionality. Proposed in this paper is the framework of IAM (Information Activity Monitoring), which is defined as real-time reporting and alerting of significant information-related activities. This IAM framework provides 4 different views about the information system (data, IT system, business process, and participant) and is implemented as a part of integrated design/manufacturing information system developed by aerospace parts manufacturer. By using the IAM function, IT personnel can monitor significant information-related activities systematically and feedback to their users timely, and ultimately enhance the utilization level of information system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7025-7039
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• 2014

Focal companies (hereafter called buyers) adopt outsourcing practices from a supply chain management strategy to be competitive. Buyers face the bridge transfer after outsourcing contracts, and the monitoring practices would be the only control mechanism left to prevent losing control over the suppliers. This study suggests the set of monitoring practices (i.e., capability, activity and outcome monitoring) as the independent variables to enhance the buyer-supplier collaboration and supplier's performance. In addition the buyer's efforts of monitoring are assumed to influence the buyer's shop floor productivity mediated by the supplier's performance and buyer-supplier collaboration. The results showed that the monitoring practices are meaningful antecedents to the supplier's performance and buyer-supplier collaboration, which fully mediates between the monitoring practices and buyer's shop floor productivity. The mediating role of the buyer-supplier collaboration between activity monitoring and shop floor productive has been rejected, because the negative effect of activity monitoring on buyer-supplier collaboration conflicts with the positive impact of buyer-supplier collaboration on shop floor productive. The theoretical contribution and managerial implications with limitations have been discussed.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.43-50
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• 2011

The scope of the problems that could be solved by monitoring and the improvement of the recognition time is directly correlated to the performance of the management function of the business process. However, the current event-managing monitoring system and the real-time advanced alarming business monitoring system decided whether to apply warnings or not by assuming a fixed environment and showing expressions based on the design rules. Therefore, there is a limit for distinguishing the range of occurrence and the level of severity in regard to the new external problems occurring in a complicated environment. Such problems cannot be abstracted. In this paper, evaluation model of business process contextual situations using goal scenario is suggested to provide constant services through the current monitoring process in regard to the service demands of the new scenario which occurs outside. The new demands based on the outside situation are analyzed according to the target scenario for the process activities. Also, a similar process model is found and identified by combining similarity and interrelationship. The process can be stopped in advance or adjusted to the wanted direction.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.245-254
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• 2020

This study investigates the impact of the country's governance on the revenue efficiency in the banking sectors of 42 Islamic banks in 15 countries offering Islamic banking and financial services. Technical efficiencies of individual Islamic banks were analyzed using the Data Envelopment Analysis method. The Ordinary Least Square estimation method is employed to examine the impact of country supervision and regulation on the technical efficiency of Islamic banks. With robustness check, the study assesses the impact of bank regulations and supervision on the efficiency of Islamic banks operating in different regions. The empirical findings suggest that supervisory power, activity restrictions, and private monitoring positively influence the efficiency of Islamic banks. On the other hand, we observe a negative impact of capital requirement on Middle East and North Africa (MENA) countries. The findings indicate that supervisory power, activity restrictions, and private monitoring positively influence the efficiency of Islamic banks in Asia, but vice versa on capital requirement in MENA countries. This study will contribute to the body of knowledge by assessing the types of reforms in bank regulations and supervision that work best for Islamic banks in order to increase the level of efficiency and the level of regulations and supervision of Islamic banks.