Business Activity Monitoring Research Articles

Development of a market-driven training model for rural women in Iran by using a qualitative paradigm.

Training programs aimed at empowering rural women in Kurdistan, Iran, have fallen short of their goals. This study offers a unique understanding of how contextual factors and cultural nuances impact the effectiveness of market-driven training programs for rural women in Kurdistan. This study explored factors affecting the effectiveness of market-driven training programs for rural women in Kurdistan. A qualitative approach using grounded theory methodology was employed. Interviews were conducted with 23 key informants, including rural women and experts. Data analysis with MAXQDA software identified seven categories and a core category related to market-driven training. The study revealed that successful implementation of market-driven training hinges on various external and internal factors. These include access to markets, facilities, and funding, along with effective monitoring of business activities. Additionally, rural community culture and the purchasing power of women were identified as key intervening conditions impacting program success. When implemented effectively, market-driven training programs have the potential to empower women, reduce rural migration, and improve product quality. The research suggests that future training programs should adopt a multi-dimensional approach that addresses the identified factors to achieve sustainable positive outcomes for rural women in Kurdistan.

Business process improvement by means of Big Data based Decision Support Systems: a case study on Call Centers

Big Data is a rapidly evolving and maturing field which places significant data storage and processing power at our disposal. To take advantage of this power, we need to create new means of collecting and processing large volumes of data at high speed. Meanwhile, as companies and organizations, such as health services, realize the importance and value of "joined-up thinking" across supply chains and healthcare pathways, for example, this creates a demand for a new type of approach to Business Activity Monitoring and Management. This new approach requires Big Data solutions to cope with the volume and speed of transactions across global supply chains. In this paper we describe a methodology and framework to leverage Big Data and Analytics to deliver a Decision Support framework to support Business Process Improvement, using near real-time process analytics in a decision-support environment. The system supports the capture and analysis of hierarchical process data, allowing analysis to take place at different organizational and process levels. Individual business units can perform their own process monitoring. An event-correlation mechanism is built into the system, allowing the monitoring of individual process instances or paths.

Diversification, corporate governance, regulation and bank risk-taking

PurposeThe purpose of this paper is to investigate the impact of diversification, corporate governance and capital regulations on bank risk-taking in Asian emerging economies.Design/methodology/approachThe authors applied the generalized method of moments to analyze a sample of 116 listed banks of ten Asian emerging economies for the years 2010–2018.FindingsThe authors found that diversification, board size, CEO duality and board independence, block holders and capital regulations significantly affect bank risk-taking. In particular, nontraditional income sources such as noninterest income and adoption of diversification strategies minimize bank risk-taking.Practical implicationsIt is expected that the outcomes of this study can be used by banks in Asian emerging economies that seek to reduce risk-taking by managing the diversification of their income streams and managing the impacts of capital regulation and implementing sound corporate governance features in monitoring their operations. This study suggests practical risk minimizing strategies for banks. First is the sourcing of nontraditional income and adoption of diversification strategies. Second, maintaining nonexecutive directors on the board would enhance monitoring of business activities. Third, maintaining deposit insurance would reduce bank’s risk. Government provides insurance to depositors to motivate them to deposit their funds into the banks. This, in return, facilitates banks to overcome risk. However, banks need to be cautious of any increase in capital ratio, as channeling funds into risky investments would increase risk.Originality/valueThis study is the first to investigate the impacts of corporate governance, diversification and regulation on bank’s risk-taking in a cross-country setting of ten Asian emerging economies.

Diagnostic tool for radical improvement in business processes

The present work presents a diagnostic tool applicable in any business sector; it works as a support to managers for decision-making towards the need for a radical improvement of processes. A literary review was conducted to collect case studies in order to identify the problems it addresses and the impacts generated by the process of reengineering application in organizations. Through conceptual modeling and synthesization, some diagnostic questions were formulated related to the problems that reengineering has addressed in the literature, and an evaluation model was built that allows organizations to identify what type of problem the organization has, its processes or departments, which should be approached from a radical improvement approach. Finally a diagnostic tool with an evaluation method was formulated, to recommend initiate process improvement either organization, departments o process, formulated fully integrable with PDCA cycle and evaluation or monitoring phases for systems like business activity monitoring based on IT systems, relevant in today’s contexts when most of the nowadays organization are technology-based, and progressive improvements do not become a pragmatic and agile alternative in the business context.

Performance audit model of incentive measures in sale channels in agricultural households of the Republic of Serbia

Today, in modern business, all organizations and farms, are required to maximize organizational performance in order to achieve appropriate market success. In order to raise organizational performance to the maximum level, continuous monitoring of business activities and their results is necessary. They are monitored by internal control, ie internal audit. Within their sales channels, farms often set up their holdings without a predefined sales plan with well-defined costs. A constant obstacle to the marketing of agricultural products, in addition to the low price, is the high cost of realization. For this reason, the state tries to support the development of farms and promote the sale of agricultural products through various incentive measures. In order to evaluate how much these measures really contribute to its development, it is necessary to conduct a research on this topic and, based on the results of the research, to devise a model of the performance audit of incentive measures for sales channels of agricultural products which are produced on agricultural households of the Republic of Serbia.The abstract should contain a maximum of 150 words. The abstracts should avoid any abbreviations and mathematical formulas.

BAMN: a modeling method for business activity monitoring systems

ABSTRACTBusiness Activity Monitoring (BAM) is a real-time process analytics concept, which provides low-latency insights into process performance. The development of BAM systems requires the specification of aggregated process metrics, instance measures to monitor process instances, and links to data producers as well as data consumers so that the origin of metrics can be traced as can its impact and potential reactions. Common process modeling methods, such as BPMN, do not cover monitoring aspects. This paper proposes a modeling method to specify BAM systems, the Business Activity Monitoring Notation (BAMN), as a vehicle for users to create shared representations of BAM requirements, BAM specifications, and BAM systems. The method covers insight-to-action feedback loops, which can enable BPM systems to react automatically on BAM observations or inferences rather than displaying information only. BAMN includes BPM-related constructs, a notation as well as a procedure model and guidance on serializing models into code.

Development of Information Technology Structural Scheme For Monitoring Business Process

This paper aims to explain that using the Business Activity Monitoring method in a business process is expected to make the business process better. By utilizing the current information technology, a business process company can be monitored by the company with ease. Through information technology, to monitor the company’s business processes, which allows automating the process of formation of representations for business processes provided, it is necessary to integrate all the information technology used. Information technology offered is using the business activity monitoring, in the hope to monitor a business process activities well and effectively. The concept scenario is simplified by the person making the business decision, estimating the place of the company’s economy, using specialized software, then based on a series of business decision rules informing the user or other parts of the business activity. The block diagram of this technology is developed and the appointment of its basic elements is considered, conducts a retrospective analysis of business processes, forecasts the business activities of the company, and collects performance statistics for all activities and controls that can change business processes. Information technology offered is using the business activity monitoring.

Using a Business Activity Monitoring and SOA for a Real-Time ETL

Using a Business Activity Monitoring and SOA for a Real-Time ETL

UPAYA MENCIPTAKAN WIRAUSAHA BARU MANDIRI BERBASIS IPTEKS DAN KEARIFAN LOKAL

<p>IKIP PGRI has always had a commitment to establish an independent mindset in students, for the students equipped with the adaptive ability of science, has leadership and entrepreneurial spirit. Therefore entrepreneurships spirit among the students for the sake of the next generation job creators need to be cultivated. The realization of this commitment IKIP PGRI Madison follow science and technology program for entrepreneurship (IBK) with the aim of developing human potential as young entrepreneurs, independent, based on local knowledge of the higher education and the establishment of outcome-based self-eleven new science and technology entrepreneurs who are ready to do business in community per year, the product of new entrepreneurial students have the advantage of science and technology, better known products produced by student entrepreneurs (PKMK) by the public, increasing the business management of students who have started businesses (oyster mushroom cultivation, the creation of a variety of zipper into a bag and wallet, Pecel Origiri and Yoghurt various flavors) and the publication of the results in the journal IBK entrepreneurship programs. The methods used to recruit participants Ibk tenants based on the success of the team in the delivery of new entrepreneurs Ibk independently in the first year. The number of tenants who started the business in the first year as many as 11 people were divided into 4 groups of businesses. Realization of IKIP PGRI Madison IBK program has accomplished 100%. The work program has been implemented: Socialization, debriefing, internship, start up bussiness, implementation and monitoring of business activities on an ongoing basis by IBK Team PGRI Madison Teachers' Training College and a business center complete shop means the student as a student business center, workshop, final report. Pembinanaan process, directing, monitoring and evaluation of business activities will be carried out by a team of tenants and UPPK IBK (Training and Enterprise Development Unit) on a regular basis with the aim to give birth to new entrepreneurs in the IKIP PGRI student Madison as creator of employment generation.</p>

Real-time business activity monitoring and analysis of process performance on big-data domains

Real-time access to business performance information is critical for corporations to run a competitive business and respond to a continuously changing business environment with ever-higher levels of competition. The timely analysis and monitoring of business processes are essential to identify non-compliant situations and react immediately to those inconsistencies in order to respond quickly to competitors. In this regard, the integration of business intelligence (BI) systems with Process Aware Information Systems (PAIS) can become a key tool for business users in decision making. However, current BI systems are not suitable for optimising and improving end-to-end processes since these are normally business domain specific and are not sufficiently process-aware to support the needs of process improvement type activities. In addition, highly transactional business environments may produce vast amounts of event data that cannot be efficiently managed by the use of traditional storage systems which are not designed to manage vast amounts of event data. We introduce a cloud-based architecture that leverages big-data technology to support performance analysis on any business domain, in a timely manner and regardless of the underlying concerns of the operational systems. Likewise, we demonstrate the ability of the solution to provide real-time business activity monitoring on big-data environments with low hardware costs.

From Compliance With Environmental Regulations To Pursuit Of Environmental-Based Competitive Advantages: Mediators Of The Relationship In A SME Context

<p>Despite the huge amount of work written about environmental practices of SMEs, what continues in the debate is the relationship between their two motivations for environmental protection: the push motivation of environmental regulation compliance and the pull motivation of pursuing competitive advantages based on the environmental protection agenda in a win-win logic. Some scholars state that environmental regulation compliance motivates SMEs to pursue opportunities that they would miss otherwise, while others claim that the conformity to regulations results in mere compliance behavior. Thus, we contribute to the literature by probing the intervening variables to uncover when and how SMEs move from a push to a pull motivation. Within the scope of our study, we consider environmental regulations that are voluntary-oriented; we also focus on the pursuit of competitiveness that is based on the development of environmental-friendly products/services. The mediators that we examine include: market expansion, monitoring of business activities, innovative capacity, and adoption of environmental behavior of suppliers. We conduct our investigation among 161 French SMEs in 2011.</p>

Towards a Monitoring Framework for the Automatic Integration of the Access Control Policies for Web Services

Cloud computing is an emerging model of business computing that can be used to maintain configurable resources such as processors, networks, storage, operating systems, databases, and servers. Service oriented Architecture (SoA) is one of most successful paradigms deployed over the Cloud; is a layered architecture to organize software resources as services and to facilitate their deployment, discovery, and combination to produce new services. The coordination of innovations carried out between these services is a key challenge of SoA, as any failings in such services could result in a lack of availability, which may violate Service Level Agreements, leading to financial penalties or customer dissatisfaction. A service known as the Protocol service can be introduced and integrated within a system to coordinate innovations. This service may then be linked with a service called the Access Control Policies (AC_Policies) service, which identifies permissions of invocation of the Protocol service. Next, a real-time Business Activity Monitoring (BAM ) dashboard is automatically generated to supervise the process of assigning the Access Control Policies, along with the status of the executions of Web services. This approach is achieved by harnessing the capability of the Model-Driven Architecture (MDA) to facilitate the automatic generation of services. As a proof of concept, this approach is implemented as a plugin.

Measuring and Querying Process Performance in Supply Chains: An Approach for Mining Big-Data Cloud Storages

Abstract Survival in today's global environment means continuously improving processes, identifying and eliminating inefficiencies wherever they occur. With so many companies operating as part or all of complex distributed supply chain, gathering, collating and analyzing the necessary data to identify such improvement opportunities is extremely complex and costly. Although few solutions exist to correlate the data, it continues to be generated in vast quantities, rendering the use of highly scalable, cloud-based solutions for process analysis a necessity. In this paper we present an overview of an analytical framework for business activity monitoring and analysis, which has been realized using extremely scalable, cloud-based technologies. It provides a low-latency solution for entire supply chains or individual nodes in such chains to query process data stores in order to deliver business insight. A custom query language has been implemented which allows business analysts to design custom queries on processes and activities based on a standard set of process metrics. Ongoing developments are focused on testing and improving the scalability and latency of the system, as well as extending the query engine to increase its flexibility and performance.

Fact – Centered ETL: A Proposal for Speeding Business Analytics up

Abstract In real-time Business Analytics scenarios, like Business Activity Monitoring (BAM) or Operational Intelligence, speeding up ETL is fundamental to provide business users with up-to-date data in order to support decision-making process and to optimize business operations. Conventional ETL processes extract data from heterogeneous operational data sources, transform them according to some predefined semantic and syntactic rules, and finally load results into a new (relational or data warehouse) model, in order to be processed both for business monitoring or analysis. Usually the whole loading process is presented as a technical aspect, far from business facts. In real-time Business Analytics context the traditional ETL approach can still be valid, provided that ETL process has to be designed in a way that circumscribes individual business events and facts and makes them independent one from another. In this context we propose a control-flow- based approach to ETL process modeling, which starts from business facts identification, and represents ETL processes using BPMN notation, which is the foundation for machine-readable code. Our main contribution consists in a proposal for structuring ETL processes and related objects and in its application to a business case.

Business Process Analytics Using a Big Data Approach

Continuous improvement of business processes is a challenging task that requires complex and robust supporting systems. Using advanced analytics methods and emerging technologies--such as business intelligence systems, business activity monitoring, predictive analytics, behavioral pattern recognition, and "type simulations"--can help business users continuously improve their processes. However, the high volumes of event data produced by the execution of processes during the business lifetime prevent business users from efficiently accessing timely analytics data. This article presents a technological solution using a big data approach to provide business analysts with visibility on distributed process and business performance. The proposed architecture lets users analyze business performance in highly distributed environments with a short time response. This article is part of a special issue on leveraging big data and business analytics.

Software architecture knowledge for intelligent light maintenance

The maintenance management plays an important role in the monitoring of business activities. It ensures a certain level of services in industrial systems by improving the ability to function in accordance with prescribed procedures. This has a decisive impact on the performance of these systems in terms of operational efficiency, reliability and associated intervention costs. To support the maintenance processes of a wide range of industrial services, a knowledge-based component is useful to perform the intelligent monitoring. In this context we propose a generic model for supporting and generating industrial lights maintenance processes. The modeled intelligent approach involves information structuring and knowledge sharing in the industrial setting and the implementation of specialized maintenance management software in the target information system. As a first step we defined computerized procedures from the conceptual structure of industrial data to ensure their interoperability and effective use of information and communication technologies in the software dedicated to the management of maintenance (E-candela). The second step is the implementation of this software architecture with specification of business rules, especially by organizing taxonomical information of the lighting systems, and applying intelligence-based operations and analysis to capitalize knowledge from maintenance experiences. Finally, the third step is the deployment of the software with contextual adaptation of the user interface to allow the management of operations, editions of the balance sheets and real-time location obtained through geolocation data. In practice, these computational intelligence-based modes of reasoning involve an engineering framework that facilitates the continuous improvement of a comprehensive maintenance regime.

MODEL FOR INTEGRATED MONITORING OF BPEL BUSINESS PROCESSES

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.

A Service-oriented Dual-bus BAM System Model

Based on a thorough analysis and comparison of several business activity monitoring(BAM) system models, noting that a BAM system is open, integrative, and real-time, and using the SOA software engineering techniques, this paper presents a service-oriented dual-bus BAM system model and analyzes in detail the functions of its service components and communications among them. Much more open than prior models, this BAM system model has a two-level bus architecture, which enables flexible and extensible implementations of practical systems, as well as provides a foundation for software reuse.

A Conceptual Model of SOA-Enabled Business Process and its Empirical Study

In today’s strong competitive environment, business processes that answer customer needs are required to be flexible and agile so as not to miss business opportunities and to adopt new market requirements and new trends easily so business activity monitoring is becoming more crucial for enterprises. Although obstacles of the mass of hybrid and complex distributed systems make it an effortful issue, SOA researchers investigate solutions to eliminate them. This study proposes a conceptual model for SOA-enabled business process frameworks to identify components of such systems. The model consists of entities and their relationships represented by UML. The proposed model was tested in an international company where its business processes are well-defined and IT is seen as an important necessity for their implementation.

Process Evaluation Model based on Goal-Scenario for Business Activity Monitoring

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.