The Keynotes
Business process management allows various leaders in organizations to comprehend with different activities that occur in their business organizations, assess them and improve them on the ongoing basis (Trkman, 2010). The primary objective of this essay is to review the key issues and models from the article on the Business process management from the proceedings of the 11th International conference that was held at Beijing in China on 26th -30th of August 2013.
Therefore, the article on review is the Business management process (11th International Conference, BPM 2013 Beijing, China, August 26-30, 2013 Proceedings). This essay will first provide the description of the content and the intention of this article. Secondly, give the key issues discussed by the authors and a conclusion.
The selected article is based on the proceeding of the 11th international conference which was organized by the University of Tsinghua. The main focus of the article is centered on the process modeling, process data, the process compliance, conformance checking, process mining, the process model matching and the keynote invited as well.
Among the keynotes presented, is the Moneyball for Nano HUB which has dramatically facilitated in enlighten and to give insight into the success and formation of software development teams. The most important thing is that software development teams are meant in selecting the right method of managing the employees (Tiwari and Herstatt, 2011). The development surroundings with the mismatched techniques are more likely to fail. The theory was developed to make it clear for the aspects that impact the compositional level of the team assembly. These aspects overwhelmed the individuals’ attributes on the entire team, task, ecosystem and rational level.
Next, Xiang Gao outlines how the next-generation intelligent Business process management in the era of managing big data could look like. Currently, the IBM (intelligent Business process management) is giving an extra intelligent to the most successful business organizations and providing the operation participants with the real-time awareness in tailoring their responses appropriately. (Gao, 2013) agrees with Xiang Gao by proving that iBM has taken as an excellent Business process management technique and has enriched with additional intelligence that overwhelm the cloud computing, making the decision in real-time, processing events, and crosslinking the systems.
According to Gartner, the intelligent Business process management will be able to meet the following needs. The first need is the process of agility. Secondly, it will be able to leverage the more significant accessibility of the data from the outside and inside with the organization as an input when making decisions. Lastly, the iBPM will enable the links and the collaborations within the different process (Higginson, 2010).
The Process Mining
According to Tom Baeyens, there will be a tremendous influence of the clouding computing on the Business process management. The first impact will be felt by the managers in installing, hardware and hosting. With the cloud, Business process management services get rid of those long processes in purchasing BPM. The cloud computing will enable the managers to create the account without depending on the experts from the Information technology. Hence, registering with the Business process management cloud computing will lower the threshold to enable the managers in taking personal decisions. The third impact is linked to the tenants, security, and firewall in which no document from the Google Drive will be shared with other individuals without the consent of the company. Therefore, the main benefit is that one can be to access the document from any part of the world and share it easily. Fourthly, cloud computing services are appropriate for facilitating the collaboration of B2B. Thus, making it easy to observe when the way individuals compare a collaborate on the google documents against the next option in emailing the word documents. With the Business process management services, it very simple when sharing tasks, cases, and types of the collaborative space with the individuals from various companies (Higginson, 2010).
The other area of attention in the Business process management is the process mining. The ability of the systems of information is expanding every day. This growth is as a result of the development of a considerable amount of the data. That means organizations within the changing business environment should fit their systems to the events at hand within their business models by making use of the current data. This is respect with the process is a series or the set of code of actions, data, memory together with other resources which receives inputs and give outputs. Within this context, process mining is one of the BPM technology that aims in discovering, checking, improving and analyzing the processes through extraction of the knowledge from the data storage like log events. The same is noted from the 11th international conference in which the idea has triggered the increase of process mining algorithms maturity and a wide range of the process mining tools which are getting into the markets. The projects involving the process mining face issues at various levels of the abstractions especially when one is comparing the events with the modeled activities of businesses. The approaches we have today for events log abstraction are not able to capture the knowledge needed in fitting the activities within the industry. Therefore, leading to misinterpretations of the proved process model. This issue led to the development of a technique whose primary objective is to abstract the levels required by the business. The tools focus on the knowledge domain which is extracted from the current documentation process to match activities and the events. Process mining process can now deal with the relationship between the activities and the facts and support concurrency. The technique was evaluated with the German information technology outsourcing organization. Thus, showing the approach operated well within a practical set up and the application of the knowledge domain is also essential.
The Process Compliance
According to (M?ru?ter and Beest, 2009) process mining approach has the ability in discovering specific process models of a specific event log. In the researcher assessment, a configurable process model was found from a pool of the event logs. This implied that the business model should explain not only specific processes but also the variants of the family process. For instance, when dealing with the house permits from various municipalities, there is a need to discover a single configurable method that shows commonalities. In this article, four techniques for constructing configurable process models from a pool of events were compared. Then they were all applied on real-life and running example collection of the events log. The result showed that the naïve technique of first discovery of the event models of every event separately in a given Business process management (M?ru?ter and Beest, 2009).
The process compliance is very vital for the organizations in ensuring their business processes conform to the domain-specific rules and the regulations. With regards to (Lu, Sadiq, and Governatori, 2008) process compliance is essential for the government legislation and industry regulations and standards. The consequences of non-compliance could be both long-standing and catastrophic. Compliance ignorance can as well result to something that can put the organization at great risk for breaking the laws. The chances are associated with the financial implication and damaging the company’s reputation. Therefore, conforming with the legislation, policies and the regulations could be challenging, and that means the managers require appropriate techniques in ensuring the business organization is compliant. This agrees with (Gray, Anand, and Roth, 2015) in the sense that compliance problems have been outlined for the intra-organizational business process management. In ensuring the business compliance, with the current standards, laws, and guidelines, the available proposal has only majored on the intra-organizational setup. The article has essential steps that enable the compliance of different organizational processes at various stages like the compliability model. This implies the general capability of the interaction models doesn’t conflict with specific process compliance regulations which are independent. Although, the comparability cannot guarantee the existence of realizing the complaint of the interaction models. For example, private and public business process model conform to world compliance regulations. In general, the comparability model remains vital though not adequate in precondition thus the partners cannot specify the private and public models.
In the process data, completeness of the data within the information technology management of the asset is very essential. However, the process is challenging in different ways. For example, in case some operations are used in procuring the assets then the organization is required to update all its sassets. Despite the single consistent process, it must be followed appropriately to prevent the data gaps. According to (Beach, Pedersen and Collier, 2011) data completeness is as the well important factor of the quality of any data and has a big range of the influence to the effectiveness in managing the companies. For instance, audits and statistics can be computed within the organizations by assuming the data to be analyzed are fully completed. The researcher is much interested in assessing completeness of the data provided by the business processes to examine whether a particular database can be approached full information in the specific state of the operations. The author has highlighted that the completeness assessment should be able to consider the processes that manipulate data. The article has explicitly shown how the process techniques could be annotated with the effect that establishes the data in real-life and impacts the copying of the data from the real-life into the information systems (Erevelles, Fukawa and Swayne, 2016).
The primary objective of the process model matching approach is to automatically identify the activities that correspond between two models of the processes standing for the similar or same behavior. By doing this, they can offer crucial inputs for the numerous advanced process models’ assessment. Concerning (Recker, 2010) process model matching can as well be described as the task of establishing correspondences among the activities of the various process models. These tasks are very essential when comparing and the alignment of the process models. Recently, some few approaches have been experienced in the process of tackling model matching. However, assessing the sets of the correspondence provided, a high variability within the outcomes has been revealed. In the process of addressing these issues, a technique for predicting how the quality of the results was proposed with the aim of delivering through the process model matching individuals. Hence, the method contributes significantly to the Business process management as it helps in making decisions especially when it comes to estimating the level of trust in automatic matching. The approach can address the problem of variability in the outcome. This shows how this model could be essential in assigning specific confidence aspect to match the outcome.
Conclusion
The principal objective of this essay was to review the key issues and models from the article on the Business process management from the proceedings of the 11th International conference that was held at Beijing in China on 26th -30th of August 2013. Among the critical issue investigated are the keynotes presented in the in the meeting by the various like, Xiang Gao on the next-generation intelligent Business process management, Tom Baeyens on the clouding computing and Moneyball for Nano HUB which has dramatically facilitated in enlightening and giving insight in the success and formation of software development teams. Differently, models represented during the conference have also been reviewed in this essay. For instance, the process mining, process matching model and conformance checking.
References
Erevelles, S., Fukawa, N. and Swayne, L. (2016) ‘Big Data consumer analytics and the transformation of marketing’, Journal of Business Research. doi: 10.1016/j.jbusres.2015.07.001.
Gao, X. (2013) ‘Towards the next generation intelligent BPM – In the era of big data’, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). doi: 10.1007/978-3-642-40176-3_2.
Higginson, N. (2010) ‘Preparing the next generation for the family business?: relational factors and knowledge transfer in mother-to-daughter succession’, Business. doi: 10.1111/j.1741-6248.1993.00075.x.
M?ru?ter, L. and Beest, N. R. T. P. (2009) ‘Redesigning business processes: a methodology based on simulation and process mining techniques’, Knowledge and Information Systems. doi: 10.1007/s10115-009-0224-0.
Recker, J. (2010) ‘Opportunities and constraints: The current struggle with BPMN’, Business Process Management Journal. doi: 10.1108/14637151011018001.
Tiwari, R. and Herstatt, C. (2011) Lead Market Factors for Global Innovation: Emerging Evidence from India, SSRN. doi: 10.2139/ssrn.1811223.
Trkman, P. (2010) ‘The critical success factors of business process management’, International Journal of Information Management. doi: 10.1016/j.ijinfomgt.2009.07.003.
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