In the face of fierce competition in almost all areas of business activity, the task of modeling the business processes in the modern business environment is extremely important. The article explores ...aspects of management and modeling of business processes. The authors analyze available methods and the modern modeling tools for improvement and automation of business processes. The necessity of using the modeling of business processes and its impact on the efficiency and competitiveness of enterprises is determined. Thus, the study determines the economic feasibility of using the modeling of business processes in the context of the modern competitive environment and its impact on improving the efficiency and competitiveness of companies. Using the practical experience of foreign companies, methodical recommendations on the introduction of the business process modeling in the company's management are proposed, due to the need for an integrated approach to organizational management. Particular attention is paid to a detailed study of the experience of applying the modeling of business processes at foreign enterprises, which are now the undisputed leaders in the market. Thanks to the experience of such companies, the study reveals the practical advantages and challenges of using the modeling to achieve optimal business efficiency and increase its competitiveness. The study results show that companies that successfully implement the modeling of business processes are able to effectively adapt to changes in the environment, and promptly implement improvements and innovations. This makes them not only more competitive but also resilient to market challenges. Thus, use of the modeling of business processes is becoming a strategic tool that helps to improve the operational efficiency of an enterprise and ensure its success in today's competitive environment.
Literature on business process compliance (BPC) has predominantly focused on the alignment of the regulatory rules with the design, verification and validation of business processes. Previously, ...surveys on BPC have been conducted with specific context in mind; however, the literature on BPC management research is largely sparse and does not accumulate a detailed understanding on existing literature and related issues faced by the domain. This survey provides a holistic view of the literature on existing BPC management approaches and categorises them based on different compliance management strategies in the context of formulated research questions. A systematic literature approach is used where search terms pertaining keywords were used to identify literature related to the research questions from scholarly databases. From initially 183 papers, we selected 79 papers related to the themes of this survey published between 2000 and 2015. The survey results reveal that mostly compliance management approaches centre around three distinct categories, namely design-time (
28
%
), run-time (
32
%
) and auditing (
10
%
). Also, organisational and internal control-based compliance management frameworks (
21
%
) and hybrid approaches make (
9
%
) of the surveyed approaches. Furthermore, open research challenges and gaps are identified and discussed with respect to the compliance problem.
Many company networks, especially those comprising small- and medium-sized enterprises (SMEs), face the challenge of digitally transforming their value co-creation (VCC). However, this topic, despite ...its high relevance, remains vastly under-researched. We thus conducted a case study in an SME network to investigate how these companies adapt their internal processes to enable an overarching VCC process in the network and use IT to support it. We first derived a framework of four propositions showing that the modularization of value creation, equality of actors, efficient information and knowledge flow, and inter-organizational information technology support facilitate VCC in these networks. The propositions framework then became our lens to analyze the SME network. Our empirical study enabled us to gain deeper insights into the relationships of the proposed facilitating factors for VCC in company networks and the role of inter-organizational information systems in this context.
The domains of complex event processing (CEP) and business process management (BPM) have different origins but for many aspects draw on similar concepts. While specific combinations of BPM and CEP ...have attracted research attention, resulting in solutions to specific problems, we attempt to take a broad view at the opportunities and challenges involved. We first illustrate these by a detailed example from the logistics domain. We then propose a mapping of this area into four quadrants — - two quadrants drawing from CEP to create or extend process models and two quadrants starting from a process model to address how it can guide CEP. Existing literature is reviewed and specific challenges and opportunities are indicated for each of these quadrants. Based on this mapping, we identify challenges and opportunities that recur across quadrants and can be considered as the core issues of this combination. We suggest that addressing these issues in a generic manner would form a sound basis for future applications and advance this area significantly.
•Complex event processing (CEP) and business process management (BPM) can mutually benefit through a convergence of formalisms and methods from both worlds.•For quadrants are discussed in detail: two for using CEP to create or extend process models and two on how process models can guide CEP.•Challenges and opportunities for this combination are identified as a sound basis for future research agenda and applications.•Identified issues bear cross-quadrant relevance and should be addressed fundamentally, not in the context of a specific application.
Business Process Analysis and Optimization: Beyond Reengineering Vergidis, K.; Tiwari, A.; Majeed, B.
IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews,
2008-Jan., 2008, 2008-01-00, 20080101, Volume:
38, Issue:
1
Journal Article
Peer reviewed
There is an abundance of business process modeling techniques that capture and address different aspects of a business process. A limited number of these process models allow further quantitative ...analysis, and only a few enable structured process improvement. This paper reviews and classifies the main techniques for business process modeling with regard to their analysis and optimization capabilities. Three primary groups are identified, and a selection of representative business process modeling techniques is classified based on these. Similar classification is also presented for the analysis and optimization approaches for business processes that were identified in relevant literature. The main contribution of the paper is that it identifies which types of business process models are suitable for analysis and optimization, and also highlights the lack of such approaches. This paper offers a state-of-the-art review in the areas of business process modeling, analysis, and optimization-underlining that the latter two have not received enough coverage and support in the literature.
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.
PurposeThe purpose of this study is to give an in-depth understanding of the nature of business processes (BPs) from the perspective of their dynamism and knowledge intensity that will allow for ...their correct classification and provide practical and useful implications for their more relevant and effective management. A simple and low labor-intensive BP nature assessment approach is proposed that will allow for objective assessment and internal benchmarking of all BPs in a specific context of execution based on their nature.Design/methodology/approachThe research is divided into two parts. The first comprises a systematic literature review (SLR) based on the resources of the ProQuest, Springer Nature and ScienceDirect full-text databases and the second includes illustrative case studies.FindingsBuilding on the SLR, the authors identified and reviewed 3,385 articles and defined a set of criteria by which the nature of BPs can be assessed. Further, the authors proposed a BP nature assessment matrix together with complementary questionnaires for the evaluation of process dynamism and knowledge intensity. To demonstrate the logic of this approach, two illustrative case studies were presented.Originality/valueThe article contributes to the theoretical reflection on the nature of BPs in the knowledge economy. From the practical point of view, a novel approach to the assessment of the nature of BPs is offered. The approach is open and as experience is accumulated it will develop according to the data and recommendations collected.
Artificial intelligence (AI) is of great interest to researchers and practitioners as a means of achieving the necessary progress in the pharmaceutical industry. However, the role of AI and ways of ...transforming companies are not well studied. The purpose of the paper is to identify exactly how AI affects the key and support business processes of pharmaceutical companies. We offer a qualitative interview study of five large, five medium, and five small pharmaceutical companies. Based on scarce literature on the role of AI in the pharmaceutical industry, we considered which business processes are subject to transform within it and how they do so. We determine that small pharma companies significantly change research and development, master data management, analysis and reporting, and human resource business processes under the influence of AI. Large pharma companies use AI to transform production, sales, marketing, and analysis business processes. In turn, medium-sized companies are in the middle and individually transform their business processes depending on their specialization.
•The study investigates the role of artificial intelligence on business processes in the pharmaceutical industry.•Depending on the size of the company, business processes vary from minimum to significant, including non-applicable ones.•Some business processes cannot be changed at this time due to strict industry regulations.•AI will impact areas where human skills are suited to the maximum of their capabilities.
Regulatory agencies have long adopted a three‐tier framework for risk assessment. We build on this structure to propose a tiered approach for resilience assessment that can be integrated into the ...existing regulatory processes. Comprehensive approaches to assessing resilience at appropriate and operational scales, reconciling analytical complexity as needed with stakeholder needs and resources available, and ultimately creating actionable recommendations to enhance resilience are still lacking. Our proposed framework consists of tiers by which analysts can select resilience assessment and decision support tools to inform associated management actions relative to the scope and urgency of the risk and the capacity of resource managers to improve system resilience. The resilience management framework proposed is not intended to supplant either risk management or the many existing efforts of resilience quantification method development, but instead provide a guide to selecting tools that are appropriate for the given analytic need. The goal of this tiered approach is to intentionally parallel the tiered approach used in regulatory contexts so that resilience assessment might be more easily and quickly integrated into existing structures and with existing policies.
PDF
