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I am just wondering how can we use the agency theory in business to explain the advantages that ICT can have on business processes in enterprises, which can impact its economy interms of cost saving and competitiviness?
Hello,
I'm looking for co-authors in the area of e-commerce (I have extensive practical experience and access to data), informations systems, machine learning, business processes, etc.
If anyone is interested, please send me a message. :)
Best regards
Adam
Does the application of generative artificial intelligence and Big Data Analytics technologies enable the improvement of computerized Business Continuity Management support systems?
BCM systems, i.e., operating according to the Business Continuity Management concept, consist of managing business continuity. The implementation of Business Continuity Management in an enterprise is an important part of taking anti-crisis measures. Under Business Continuity Management, an organization, business entity, company, enterprise, financial or public institution takes steps to ensure that its critical business functions are available to customers, suppliers and regulators in the event of a crisis. Business Continuity Management is the concept of managing an organization, including taking the actions that an organizational unit must perform to ensure the continuity of its business. Depending on what type of entity it is, this will include continuity in the flow of data, raw materials and/or liquidity. In Polish corporate jargon, you may come across a situation to refer to this function as "CDN" which simply means "continuity will follow."
The purpose of Business Continuity Management is to build mechanisms to protect companies from the negative impact of disruptions, so that if a crisis occurs, business processes can continue. Business Continuity Management is not a process that a business unit implements during a failure, disruption or disaster just refers to activities that are carried out on a daily basis. This plan of action is aimed at eliminating or reducing the risk of an emergency, crisis situation and maintaining readiness for immediate response should the said crisis situation occur.
Ensuring the continuity of the operation of an economic entity or institution is one of the priority tasks of participants, including companies and enterprises operating in different types of markets: financial, logistics, suppliers of raw materials, recipients of finished goods, etc. The special role of ensuring business continuity in the context of the effective functioning of economic entities concerns institutions that are participants in financial systems, including, among others, commercial banks that co-create what is referred to as the "bloodstream of the economy."
In a situation of economic crisis in many companies and enterprises there is an escalation of various types of problems and an increase in risks. In crisis situations, the level of risk and likelihood of business interruption increases. Business interruption causes a spiral of consequences, resulting in a negative reaction from stakeholders and having an adverse impact on society. The consequence can be a lowering of the company's reputation, diminished value and brand. The consequence can also be a deterioration of the company's valuation by the market and rating agencies. This type of situation can also generate difficulties in raising the financial capital necessary for the continued development of the business entity. Besides, Business Continuity Management is part of corporate management. Accordingly, Business Continuity Management is a set of good practices providing guidelines for redesigning the processes of manufacturing products and providing services in such a way as to increase the organization's resilience to the occurrence of harmful disruptions of interrupted processes and incurring losses.
In recent years, the implementation of new ICT, Internet and Industry 4.0/5.0 communication technologies, including generative artificial intelligence and Big Data Analytics technologies to business entities contributes to increasing the efficiency of processes carried out within various spheres of business activity. The aforementioned technologies also support the management processes of companies, enterprises, financial or public institutions. The application of generative artificial intelligence and Big Data Analytics technologies makes it possible to improve computerized support systems for business continuity management processes.
The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
I described the applications of Big Data technologies in sentiment analysis, business analytics and risk management in my co-authored article:
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Does the application of generative artificial intelligence and Big Data Analytics technologies enable the improvement of computerized support systems for Business Continuity Management processes?
Does the application of artificial intelligence and Big Data Analytics enable the improvement of computerized Business Continuity Management systems?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz

What is the impact of the development of applications and information systems based on artificial intelligence technology on labor markets in specific industries and sectors of the economy?
Since the release of an intelligent chatbot built on the ChatGPT language model on the Internet in November 2021, the scale of ongoing discussions on the topic of the impact of the development of artificial intelligence technology on labor markets has increased again. Each successive technological revolution has largely generated changes in labor markets. The increase in the scale of automation of manufacturing processes carried out as part of business operations was motivated by the reduction of operational personnel costs resulting from hired personnel. Automation of manufacturing processes, including processes of production and offering services, may also have reduced the level of personnel operational risk. As a result, companies, firms and, in recent years, financial institutions and public entities, through the implementation of ICT, Internet and Industry 4.0/5.0 technologies in various business processes, are improving the efficiency of business processes and increasing the economic profitability of these processes. In each of the previous four technological revolutions, in spite of changing technical solutions and emerging new technologies, analogous processes of using these new technological advances to increase the scale of automation of economic processes worked. In the era of the current fourth or fifth technological revolution, in which a special role is played by the development of generative artificial intelligence technology, applications of this technology in the development of robotics, building autonomous robots, increasing the scale of cooperation between humans and highly intelligent androids is also making a new appearance and another stage of increasing the scale of automation of manufacturing processes. However, what from the point of view of entrepreneurs thanks to the applied new technologies, the achieved automation of production processes is an increase in the efficiency of manufacturing processes, increasing the scale of economic profitability, etc., is, on the other hand, generating serious effects on labor markets, including, among other things, a reduction in employment in certain jobs. The largest scale of applied automation of economic processes and, at the same time, the largest scale of employment reduction was and is generated for those jobs that are characterized by a high level of repetition of certain activities. The activities carried out by employees that are characterized by a high level of repetitiveness were usually the first ones that could be and have been replaced by technology in a relatively simple way. this is also the case today in the era of the fifth technological revolution, in which highly advanced intelligent information systems and autonomous androids equipped with generative artificial intelligence technologies contribute to the reduction of employment in companies and enterprises where humans are replaced by such technology. A particular manifestation of these trends are the group layoffs announced starting in 2022 of employees, including IT specialists in technology companies that the aforementioned advanced technologies of Industry 4.0/5.0 are also creating, developing and implementing into their economic processes carried out in the aforementioned technology companies. Recently, there have been a lot of different kinds of predictive analysis results in the media suggesting which occupations and professions previously performed by people are most at risk of increasing unemployment in the future due to the development of business applications of generative artificial intelligence technologies. In the first months of ChatGPT's release, the Internet was dominated by a number of publications suggesting that a significant portion of jobs in many industries will be replaced by AI technology over the next few decades. Then, after another few months of the development of applications of intelligent chatbots, but also the revelation of many controversies and risks associated with it such as the development of cybercrime and disinformation on the Internet, this dominant opinion began to change in the direction of slightly less pessimistic. these less pessimistic opinions suggest that the technology of generative artificial intelligence does not necessarily deprive the majority of employees in companies and enterprises of their jobs only the majority of employees will be forced to use these new tools, applications, information systems equipped with AI technology as part of their work. Besides, the scale of the impact of new technologies on labor markets will probably not be the same across industries and sectors of the economy.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What is the impact of the development of applications and information systems based on artificial intelligence technology on labor markets in specific industries and sectors of the economy?
What is the impact of the development of applications of artificial intelligence technology on labor markets in specific industries and sectors of the economy?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz

Will the combination of AI technology, Big Data Analytics and the high power of quantum computers allow the prediction of multi-faceted, complex macroprocesses?
Will the combination of generative artificial intelligence technology, Big Data Analytics and the high power of quantum computers make it possible to forecast multi-faceted, complex, holistic, long-term economic, social, political, climatic, natural macroprocesses?
Generative artificial intelligence technology is currently being used to carry out various complex activities, to solve tasks intelligently, to implement multi-criteria processes, to create multi-faceted simulations and generate complex dynamic models, to creatively perform manufacturing processes that require processing large sets of data and information, etc., which until recently only humans could do. Recently, there have been attempts to create computerized, intelligent analytical platforms, through which it would be possible to forecast complex, multi-faceted, multi-criteria, dynamically changing macroprocesses, including, first of all, long-term objectively realized economic, social, political, climatic, natural and other macroprocesses. Based on the experience to date from research work on the analysis of the development of generative artificial intelligence technology and other technologies typical of the current Fourth Technological Revolution, technologies categorized as Industry 4.0/5.0, the rapidly developing various forms and fields of application of AI technologies, it is clear that the dynamic technological progress that is currently taking place will probably increase the possibilities of building complex intelligent predictive models for multi-faceted, complex macroprocesses in the years to come. The current capabilities of generative artificial intelligence technology in the field of improving forecasting models and carrying out forecasts of the formation of specific trends within complex macroprocesses are still limited and imperfect. The imperfection of forecasting models may be due to the human factor, i.e., their design by humans, the determination by humans of the key criteria and determinants that determine the functioning of certain forecasting models. In a situation where in the future forecasting models will be designed and improved, corrected, adapted to changing, for example, environmental conditions at each stage by artificial intelligence technology then they will probably be able to be much more perfect than the currently functioning and built forecasting models. Another shortcoming is the issue of data obsolescence and data limitation. There is currently no way to connect an AI-equipped analytical platform to the entire resources of the Internet, taking into account the processing of all the data and information contained in the Internet in real time. Even today's fastest quantum computers and the most advanced Big Data Analytics systems do not have such capabilities. However, it is not out of the question that in the future the dynamic development of generative artificial intelligence technology, the ongoing competition among leading technology companies developing technologies for intelligent chatbots, robots equipped with artificial intelligence, creating intelligent control systems for machines and processes, etc., will lead to the creation of general artificial intelligence, i.e. advanced, general artificial intelligence that will be capable of self-improvement. However, it is important that the said advanced general advanced artificial intelligence does not become fully autonomous, does not become completely independent, does not become out of the control of man, because there would be a risk of this highly advanced technology turning against man which would involve the creation of high levels of risks and threats to man, including the risk of losing the possibility of human existence on planet Earth.
I have described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Will the combination of generative artificial intelligence technology, Big Data Analytics and the high power of quantum computers make it possible to forecast multi-faceted, complex, holistic, long-term economic, social, political, climatic, natural macro-processes?
Will the combination of AI technology, Big Data Analytics and high-powered quantum computers allow forecasting of multi-faceted, complex macro-processes?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz

"How can we effectively leverage ChatGPT and BPMN 2.0 in automation and digital transformation to optimize business processes and increase efficiency? What experiences have you had with combining chatbots and BPMN models, and what challenges have you encountered?"
Supply chain management remains as a critical source of competitive advantage for corporations, sectors and regions. Therefore, one may assume that supply chains as entities learn overtime, i.e., supply chain players learn how to collectively create/incorporate new knowledge into their business processes and improve the way they jointly operate to serve customers.
The fundamental questions are: Do supply chains really learn? If so, do you have real examples on how these entities learn overtime?
At the moment I am working in a medium-sized company with the modeling of existing processes. On the whole, this works quite well for many business processes. I only have problems with the machines. In production, the machines are ultimately important for quality, efficiency and effectiveness. They must be "built into" the processes. So far I haven't found much in the literature on the subject. Can you give me any hints or help on this?
Dear fellow researchers,
As part of my research on business processes, I am developing a questionnaire to investigate the reasons and circumstances of choosing a particular process notation.
I am currently conducting the pretest. I have talked to some process experts from my environment and incorporated the results of these interviews into the questionnaire. In order to test it, but also to expand the feedback on the questionnaire, a pretest is conducted. I would like you to participate in this pretest. Estimated duration is 20-30 minutes.
The main study is scheduled for the end of 2022. First publications from this study are for planned the end of 2023/ beginning of 2024.
Thank you for your support
Sebastian Ortlieb
I look forward to developing my paper "Business Process Reengineering BPR: A Matter of Choice or Requirement in COVID-19 Pandemic" to republish it
Please I need your advice and opinions to avoid current shortcomings for republishing it.
Could you please provide me with relevant references which support your opinions?
I started a PhD with the topic "Formation of an intellectual property management system in small innovative enterprises".
But now I want to change the topic to more narrow view: I'm working with smaill enterprises in sport area, and this data and expierence are very different. On one hand I have an innovatibe product for the competitions and very poor management and awful business process. On the other hand I have innovations in business process, good management, but no innovations in technology.
At previous steps of my research I studied different types of innovations and their meaning for small businesses. If I'll change the topic to more practical shape I could compare this enterprises and get more usefull information for the development of small businesses. What do you think, colleagues?
The research study aims to investigate the impact of the COVID-19 and the circumstances which the impact has created such as pandemic situations and the boundaries that are closed between countries. Because of these circumstances, the tourism industry confronted several challenges and issues. So, the research study aimed to identify the challenges and issues with the selected case study which take place in Sri Lanka by performing the interview questions which could support the investigation. And also the research study aimed to investigate the importance of the integration of IT with business processes that contribute to the better and effective enhancement of the business. And the support of an integrated IT system to tackle the challenges and the issues within the organization to gain sustainable competitive advantages specifically in the tourism industry. The past research findings contribute the guidance for the analytical model and research findings that could be used to determine the effect of the knowledge for the seamless integration of information technology in the tourism industry business processes.
Whether someone is interested in such a research and/or topic, question may be extended to other related topics
What do you think about estimatting the level of automation? How to carry out the process of estimatting the level of automation, autonomy and intellectualization?
It is important to get a quantitative result.
1. Estimate the technical level of the equipment, software;
2. Taxonomy processes / business processes and decide on the level of automation;
3. Estimate the completeness of automation by calculating the proportion of controlled signals from the norm;
4. The share of computer time from the total time of the operation.
Etc.
I am looking for a database of similar business processes (or even better - a configurable processes) in BPMN format.
I need this to evaluate a recommendation algorithm for designing BP that uses machine learning approach and hence needs a lot of learning data.
That's why I am especially interested in a large database of similar processes, or configurable processes.
I would appreciate your help.
I ask about a free software tool to execute BP designed according BPMN.
For doing organisational change based on the stimulus of change, how does an organisation forms it's change objetive (i.e. what does it wants to achieve by changing/reengineering itself). And how does it identify the parameters/lenses through which the business processes need to be reviewed for reenigneering?
Now - a - days Workflows (WF) (a visual structure of a process (sequence of activities)) are designed and utilized in different types of industries like medicine, business, software. After some research, I came to an understanding that most of the WF specification languages are designed for business processes for example BPMN.
What are other types of efficient WF design styles (which don't revolve around BUSINESS DOMAIN)?
Normally, I have used BPMN for modeling business process where information flow could be represented, also I have found some concerns about resource flow representation, but now I need to illustrate financial flow and I haven't found a formal language to do it. Could anyone help me with this question??
Business process design projects are considered as knowledge-intensive work, because different analysis perspectives should be taken into account and multidisciplinary teams should be involved in order to generate design solutions. In that case, what knowledge should be considered in business process design projects?
One of the most important parts of my project is the recognition of other countries' successful logistics experiences. In this regard, one of the most important issues is the achievement of reference models and business processes for logistics and transportation. The process flow diagrams are in the form of BPMN standards. Can you guide me in this regard?
As we know the executions of any business process is not possible without its data. In particular process designers have to know data scope (data model) as well as the way data is processed during BP execution.
BPMN does not allow us to include all the information about data structures nor data flows.
What in your opinion is the best way to show above mentioned data properties in business process diagrams?
The general public relies increasingly on mobile applications for day-to-day services. Beyond sharing data sets, it is more and more important for agencies such as the Asian Development Bank, USAID, the World Bank, etc. to satisfy the communications needs of their clients, audiences, and partners (not to mention those of their own employees) by the same means. Across the project cycle, meaning, the various stages from country programming to project completion and evaluation, where might there be opportunities for cheap, effective, and low-maintenance mobile applications à la "build-once, deploy-anywhere"?
Cuando se diseñan procesos organizacionales, es preciso tener en cuenta el contexto organizacional donde dicho proceso será ejecutado, de modo que el diseño resultante sea consistente con su realidad. El contexto organizacional puede ser analizado desde múltiples perspectivas, tales como: cultura organizacional, regulaciones, estrategia, recursos, capacidades, modelo de negocio, personas, tecnología, etc. ¿Cuáles pueden ser otras perspectivas? ¿Cómo pudiera afectar la calidad del diseño de los procesos organizacionales, cuando determinadas perspectivas no son analizadas?
how will a business owner know that it's time to start a BPR project
I'm wondering if there are papers that deal with data flows, especially from business perspective? In practical situations it would be good to be able to describe (and visualize) logical data flows from sources to parties that make use of the data. Typically, there are numerous sources, processing steps and utilizing parties.
In practice, almost every time people start to describe integration tools, databases or other technical data processing tools/methods instead of data flows. However, in order to support data-driven business processes, data flows should be designed first, without technical implementation.
I would be grateful for any theory or practice oriented ideas, models, frameworks or hints about papers that deal with describing data flows.
Advanced technologies of digitalization and automation of data processing first find their application in business. Then also in public institutions can be introduced including in the field of e-governance. This also applies to Big Data database technologies, which is applicable in various sectors of the economy, but due to the high investment costs of implementing this technology in the business processes of business entities, so far only large corporations and larger enterprises can afford such technologies. However, in the future, investment costs of implementing tech technologies into business processes should decrease and processing technologies and data collection in Big Data database systems should be available also for smaller companies, including business entities of the SME sector.
I invite you to the discussion.
Disruptive technologies like cloud, IOT, analytics, ML, RPA and block chain are changing the businesses globally. They are bringing about fundamental changes to the ways in which organizations work and making job of CIO ever more challenging. I am trying to find how organizations are adapting to need of changes to enterprise architecture, business processes, COE, KPI and SDLC.
Hi all !
I'm currently working in a project at public health sector to enable and improve their Monitoring and Evaluation (M&E) process regarding the public policies which have to be executed in conjunction with cities and states.
We already modeled their current process (activities level) using the BPMN 2.0 (process modeling notation) standards .
Now We are looking for similar models to compare and improve the current process model in order to lead us a better "to be" model.
We organized the whole activities currently executed here in 7 main process:
To Plan the Execution of M&E
To Manage Execution of M&E (Plan)
To Engage Stakeholders and Participants
To Collect and Qualify Data for M&E
To Monitor the Implementation of Public Policy
To Evaluate Public Policy
To Communicate the Results of M&E
Most of the documentation about M&E are referring to M&E models, plannings, cycles, approach...We did not find anything that describe "activities level" (which activities have to be done) of M&E or/and a Business Process view of a "M&E".
Does anyone have any indication of articles or models (BPMN standards) that could be shared or help us in the challenge?
Rgds, Marco
I am looking for some research papers having interesting case studies on application of IoT in Supply Chain Management (SCM) for Retail\logistics in context of Industry 4.0. I found some literature, however apart from [1], most work provided quite simple use cases.
[1] Fiedler, M., & Meissner, S. (2013). IoT in Practice: Examples: IoT in Logistics and Health. In Enabling Things to Talk (pp. 27-36). Springer, Berlin, Heidelberg.
Currently I am doing my thesis for a non-asset based logistic company at its import department on how to optimize the work process in order to improve the productivity level. The framework that I will be using are:
Business process mapping
VSM
Pareto Analysis
Root-cause-analysis
(KPI)
Are there more models which I can use?
1. What is an innovative Idea?
2. How to originate an innovative idea in the field of Automation, Robotics, Control Science Engineering, and so on?
3. What are the essential criteria for producing an innovative idea?
any metrics to measure the performance of Business Incubation
Hi
I would like some advice and hopefully references to papers or other sources that have researched warranty or failure forecasting methods.
Especially when a current component is replaced by a new. Event and warranty history of the current component is available. What possibilities are existing in the research/applied community ?
I'm particularly interested in applications in the automotive domain, however general advice is appreciated as well.
I am studying the importance of 'context' for Enterprise Information Systems. In most systems 'context' (this is the social dynamics in which a business process functions) is captured in metadata. This is a very limited way of capturing context, for it is impossible to capture social dynamics that way. I really would like to have the opinion of fellow scientists on this matter. Are there instuments, methods, or systems that allow for capturing social contexts? For the reconstruction of the past, absolutely necessary for accountability and governance, the possibility to contextualize past actions and transactions is an absolute necessity.
Hello:
Can anyone recommend good research papers on Business Process studies of Supply Chain Management – oil and gas industry-specific?
After an extensive search in the documentation and many failed attempts: jBPM6 does not seem to support it, although jBPM 5 HAD a human task service that could be called remotely.
I also checked Camunda BPM and Activiti.
Is there in this questionnaire?
Is there a tool to measure it?
thank you
Please provide one or two citations that would provide us with a solid introduction to theory and practice. We are especially interested in hearing from those in American schools of business. THANKS!
We know that business processes must have indicators. In a BPM initiative, after identifying the context and modeling as is process, we need to perform the process analysis phase. Phase important for we design the process improvement, transformation or innovation.
Do you use or are there indicators to know whether this analysis was done well?
How to evaluate if the process analysis was properly conducted in accordance with the customer and/or the organization goals?
Regards.
Tendering process in mainland china.
I think this is what we call service composition. My data is related to learner preferences and from that I have to derive services. Learner preferences are stored in Ontology so do I have to choose semantic web services or web services and what is the difference between both of them?
Thanks
I mean in a cross-organization business collaboration scenario, one organization need on the one hand reveal some of its business details for collaboration, and on the other hand try to protect its business details unseen by one another for privacy sake.
I am researching causal inference in business processes and need to find a large database representing an enterprise business process over time. I think a set of database for SAP or Microsoft Dynamics AX would fit the bill.
Alternatively, are you an officer of a company that would be interested in participating in this research by providing such data (de-identified by data masking)?
Business process Re-engineering is considered as an obsolete subject as it was considered as another name for re-sizing the organization and was also based on clean slate approach.
As a matter,consider K&N 5th book, "The Execution Premier", In Chapter6 "Align Process Improvement Processes", if we seek the alignment between business processes and strategic goals, to identify and keep the key processes, would an AHP method work out? What about System Dynamics?
What's your suggestions (As a tool, methodology, or any Article reference to use)
I am looking for research papers and case studies to demonstrate use of system dynamics modeling and simulation in business process design and reengineering.
Big Data and Analytics are focused on transforming big quantities of data into usable information. I believe this information will only have value in the context of an appropriate adjustment of related business processes since that is the only way of moving the information into action. Thoughts? How do you organize the connection? What dos that mean for BPM?
For my research I am looking for a set of business processes to conduct my experiments. I've spent a long time looking and I can't seem to find any source. Of course there is the Signavio academic initiative, but the processes are not quite usable if you need to be able to analyze them semantically (ex.: task named A, B, C,...). I was wondering how you conduct your BPM related experiments?
Thanks!
Messages in BPMN choreography are modeled in Choreography Task. The sender sends a white message to the receiver. The latter, answer with a grey message. What if the answer is a callback response?
Social Media become more and more important on the enterprise level. Companies use e.g. LinkedIn to support hiring processes or Facebook to support marketing. Do you have good examples for the use of Social Media enabling innovative business processes? This includes the use of "in-house" social media technologies.
Business process simulation captures and models discrete aspects of systems' behavior while System Dynamics captures the continuous aspect. It is desirable in many systems that these aspects are combined into a feedback relationship. How can we accomplish this?
While doing my research in Workflow I could hardly find any Indian academician working on same. Workflow has tremendous scope of research and invention both. Where there is a Business Process there can be a workflow. In every research area the scope of research in workflow is tremendous yet unexplored in Indian academics. Though a very technical topic Workflow have a vast scope in academics and scientific research.
The use of workflow is not limited to only software applications. It should be included in every business process automation not limited to any domain. Even processes such as patent filing, PhD research thesis evaluation & submission, production, manufacturing, e-commerce, recruitment, cloud computing, embedded systems etc should facilitate the use of workflows.
Currently, many self-steering models and systems are in their development phase ("Internet of Things") for logistics. But basis logistics management questions are probably overseen or neglected in the current first wave implementation projects, e.g. the posed question about the incorporation of quality control processes. The example stems from a German logistics service provider working for a food OEM regarding picking and quality control processes (to be switched to automated processes).
More and more organizations think of procuring their information technology through "the cloud". Hence, what remains in the organization are just the business processes supported through those could based applications. What impact does that have on business process management (BPM)?
3D printing is known as one of the important indicators of the third industrial revolution. Manufacturing, logistics and retail sectors will have a significant impact because of it. Therefore, the traditional supply chain business processes will also change. Then, what effects will 3D printing have on supply chain business process? Welcome to the discussion.
To get information system flexibility, we have to decompose Business Processes (BP) to small units that can be replaced with other ones. These units are Business Services (BS). So how we can obtain these BS?
When the approach to BPM its global, starting from strategy, after that, we make the assessment of macro processes, or as some approaches consider "capabilities". The next step is to identify projects to make improvements, aligned with business needs. In this context, any one knows another approach similar to "decision matrix", to apply and select in an objective way, the projects to start with? Considering the impact in the strategy and effort to develop (e.g. costs, hours ...). I need a simple approach, to support this decisions with "top leaders" in an organization. Any help is welcomed.
I am very interested on your approach of using BPEL as the core of the rule execution engine. I am writing a review about CDS and I would like to mention your work in the article. I would be very grateful if you could give more information about your research (architecture). Some of my questions are:
Are you using BPEL to orchestrate external services from Clinical Information Systems in order to get the required information to perform CDS?
Are you using BPEL only for CDS rules or for service composition as well?
How CDS services are consumed by the clients?
Process improvement models like CMMI, ISO and IEEE provide a set of standards to help improve the business process into organizations. Organizations willing to follow one of these standards should go through apprisal evaluation. This process are based on measuring to what extent the organization business process adhere to the standards. For example the Capability Maturity Model Integration (CMMI) normally uses the Standard CMMI Appraisal Method for Process Improvement (SCAMPI) for this compliance check. What if we automate the whole process, so the compliance check itself is automated. This will require the business process to be formalized and the standards to be formalized too. I wonder if this can be of any benefit practically?! any ideas?