(Re)Designing Business Processes Using Markov Theory and Constrained State, Transition and Actor Role Spaces

2019 ◽  
Vol 9 (2) ◽  
pp. 43-61 ◽  
Author(s):  
Sérgio Guerreiro

Decision-making processes are the utmost important to steer the organizational change whenever business process workarounds are attempted during operational times. However, to decide the non-compliant situations, e.g., bypasses, social resistance, or collusion; the business manager demands contextualized and correct interpretations of the existing business process redesign options to cope with workarounds. This article explores the need to aid the decision-making process with a full constructional perspective to optimize the business processes redesign. So, the Markov decision process is combined with the body of knowledge of business processes, in specific, the concepts of designing enterprise-wide business transactions. This methodology supports the management initiatives with more knowledge about the value of business processes redesign. A classical chain of Order-to-Cash business processes (the order, the production, the distribution and the selling of goods) illustrate the benefits of this quantitative approach. Results obtained for business processes redesign in reaction to workarounds are reported. The analysis results show that this approach can anticipate the sub-optimal solutions before taking actions and highlights the impact of discount factors in the final obtained value. The contribution of this novel conceptual integration to the business processes community is the forecast of value function of business transaction redesign options when facing non-compliant workarounds. From related literature, business processes compliance usually comprises offline computation and the redesign is only considered in the forthcoming business processes instances. This article is innovative in the sense that it anticipates the value impact of a redesign, allowing more effective decisions to be taken.

2021 ◽  
Vol 6 (22) ◽  
pp. 189-196
Author(s):  
Ani Munirah Mohamad ◽  
Ibrahim Sule

In this era of internet-of-things whereby the ICT, internet, and other associated gadgets and technologies are tremendously affecting our lives, there is no gainsaying that these ‘disruptive’ technologies have contributed greatly to improve the pace of justice delivery all over the world. With the recent outbreak of COVID-19 all over the world, technological adoption has enhanced further. Within the context of the courts, many countries have embraced the use of ICT and the internet in their justice delivery system consequent upon which thousands of mobile phone applications and computer hardware and software are being developed. Court Rules were amended to provide for these changes and further institutionalise these changes. This conceptual paper provides insights and experiences on how ICT-enabled applications impact the decision-making processes by the courts in Malaysia and Nigeria. Hopefully, the paper would contribute to the body of knowledge on ICT adoption studies in general, and e-courts and e-justice systems in particular.


2021 ◽  
Author(s):  
◽  
Thuan Nguyen

<p>Crowdsourcing can be an efficient organisational strategy to harness innovation and agility by distributing work to Internet users. As crowdsourcing is different from other business strategies, organisations are often unsure about how to structure crowdsourcing as a business process. We identify two challenges: first, crowdsourcing has been perceived as a one-off endeavour and a comprehensive repeatable crowdsourcing process has not been defined yet. Second, while organisations need a solid knowledge base in order to integrate crowdsourcing with their business processes, the domain knowledge remains unstructured, scattered, and sometimes conflicting. Together, these challenges indicate that crowdsourcing needs to evolve from an immature form towards a more repeatable business process.  The research adopts the design science paradigm and follows four research stages. We first synthesise existing knowledge in the domain, which identifies twelve repeatable building blocks of crowdsourcing processes. Second, we define a model of business process crowdsourcing (BPC). The model has seven processes organised in three stages: decision to crowdsource, process design, and technical configuration. The model was empirically evaluated using two existing crowdsourcing projects. The results suggest the usefulness of the model for structuring crowdsourcing processes.  Third, we turn the BPC model into a heavyweight ontology that consolidates the domain knowledge. The ontology captures the following domain concepts: business processes, activities, data entities, data attributes, and their hierarchical relationships. It also captures decision-making relationships. We evaluated the ontology by triangulation. The findings are that the ontology provides a high coverage and clarity of the domain.  Finally, based on the ontology, a decision tool is developed. The tool provides advice to make informed decisions about BPC establishment. Using experiments and focus groups to evaluate the tool, the quantitative and qualitative results confirm its utility and show that the tool improves decision-making performance.  The dissertation contributes to the body of knowledge in several ways. It promotes and conceptualises crowdsourcing as an organisational business process. It offers a process model, ontology, and decision tool for BPC. It also provides empirical results about the use of the decision tool. By doing so, we hope that the dissertation will motivate organisations to further assimilate crowdsourcing.</p>


10.28945/4016 ◽  
2018 ◽  

Aim/Purpose: This paper describes an empirical investigation on how consumer behavior is influenced by the volume of content on a commercial landing page -- a stand-alone web page designed to collect user data (in this case the user’s e-mail address), a behavior called “conversion.” Background: Content is a term commonly used to describe the information made available by a website or other electronic medium. A pertinent debate among scholars and practitioners relate to information volume and consumer behavior: do more details elicit engagement and compliance, operationalized through conversions, or the other way around? Methodology: A pilot study (n= 535) was conducted in ‎real-world commercial setting, followed by a series of large-scale online experiments (n= 27,083). Both studies employed a between-group design: Two variations of landing pages, long and short, were created based on various behavioral theories. User traffic to the pages was generated using online advertising and randomized between the pages (A/B testing). Contribution: This research contributes to the body of knowledge on the antecedents and outcomes of online commercial interaction, focusing on content as a determinant of consumer decision-making and behavior. Findings: The observed results indicate a negative correlation between content volume and users’ conversions. The shorter pages had significantly higher conversion rates, across locations and time. Findings suggest that content play a significant role in online decision making. They also contradict prior research on trust, persuasion, and security. Recommendations for Practitioners: At a practical level, results can inform practitioners on the importance of content in online commerce. They provide an empirical support to design and content strategy considerations, specifically the use of elaboration in commercial web pages. Recommendation for Researchers: At the theoretical level, this research advances the body of knowledge on the paradoxical relationship between the increased level of information and online decision-making and indicates that contrary to earlier work, not all persuasion theories‎ are ‎effective online. Impact on Society: Understanding how information drive behavior has implications in many domains (civic engagement, health, education and more). This has relevance to system design and public communication in both online and offline contexts, suggesting social value. Future Research: ‎Using this research as a starting point, future research can examine the impact of content in other contexts, as well as other behavioral drivers (such as demographic data). This can lead to theoretical, methodological and practical recommendations.


Author(s):  
Hamzah Ritchi ◽  
Dini Rosdini

Objective - Understanding business processes is becoming increasingly critical. In light of the understanding of business process, the notion of understandability has received much attention in accounting information system (AIS). The current study focuses on the comparison of different representation format, namely diagram-oriented and textual-oriented. Type the brief purpose of the paper and illustrate the direction that is taken, whether it is empirical or theoretical testing in analyzing the research subject. Methodology/Technique - The paper looks at, through systematic approach the collection of prior research papers relevant to the use of representation format depicting business processes and/or other information artifacts. Findings - Observable differences have been studied between different representation modes in which understandability serves as part of a dimension of interest. Experimental works It appeared that here is also inconclusive concession with regard to the review. Such a comparison is highly relevant, as business process is attributed with risks that may affect the organization at different level of exposures. This paper strives to contribute to the body of knowledge by focusing on the current state of the relationship between different process representation formats with a user utilizes in relation with a process perspective of accounting and information system. Type of Paper - Conceptual Keywords: Business Process; Accounting information system; Diagrammatic; Textual; Process Representation; Experimental.


2011 ◽  
pp. 1233-1246
Author(s):  
Sanjay Mathrani ◽  
Mohammad A. Rashid ◽  
Dennis Viehland

A significant investment in resources is required for implementation of integrated enterprise systems as technology solutions while the effectiveness of these systems to achieve business value remains unclear and empirically largely unexplored. Enterprise systems integrate and automate business processes, but unarguably, the real business value can only be achieved from improvements through the transformation of enterprise systems data into knowledge by applying analytic and decision making processes. This study explores a model of transforming ES data into knowledge and results by comparing two case studies that examine the impact of enterprise systems information on organizational functions and processes leading to realization of business value.


2021 ◽  
Author(s):  
◽  
Thuan Nguyen

<p>Crowdsourcing can be an efficient organisational strategy to harness innovation and agility by distributing work to Internet users. As crowdsourcing is different from other business strategies, organisations are often unsure about how to structure crowdsourcing as a business process. We identify two challenges: first, crowdsourcing has been perceived as a one-off endeavour and a comprehensive repeatable crowdsourcing process has not been defined yet. Second, while organisations need a solid knowledge base in order to integrate crowdsourcing with their business processes, the domain knowledge remains unstructured, scattered, and sometimes conflicting. Together, these challenges indicate that crowdsourcing needs to evolve from an immature form towards a more repeatable business process.  The research adopts the design science paradigm and follows four research stages. We first synthesise existing knowledge in the domain, which identifies twelve repeatable building blocks of crowdsourcing processes. Second, we define a model of business process crowdsourcing (BPC). The model has seven processes organised in three stages: decision to crowdsource, process design, and technical configuration. The model was empirically evaluated using two existing crowdsourcing projects. The results suggest the usefulness of the model for structuring crowdsourcing processes.  Third, we turn the BPC model into a heavyweight ontology that consolidates the domain knowledge. The ontology captures the following domain concepts: business processes, activities, data entities, data attributes, and their hierarchical relationships. It also captures decision-making relationships. We evaluated the ontology by triangulation. The findings are that the ontology provides a high coverage and clarity of the domain.  Finally, based on the ontology, a decision tool is developed. The tool provides advice to make informed decisions about BPC establishment. Using experiments and focus groups to evaluate the tool, the quantitative and qualitative results confirm its utility and show that the tool improves decision-making performance.  The dissertation contributes to the body of knowledge in several ways. It promotes and conceptualises crowdsourcing as an organisational business process. It offers a process model, ontology, and decision tool for BPC. It also provides empirical results about the use of the decision tool. By doing so, we hope that the dissertation will motivate organisations to further assimilate crowdsourcing.</p>


Author(s):  
Sanjay Mathrani ◽  
Mohammad A. Rashid ◽  
Dennis Viehland

A significant investment in resources is required for implementation of integrated enterprise systems as technology solutions while the effectiveness of these systems to achieve business value remains unclear and empirically largely unexplored. Enterprise systems integrate and automate business processes, but unarguably, the real business value can only be achieved from improvements through the transformation of enterprise systems data into knowledge by applying analytic and decision making processes. This study explores a model of transforming ES data into knowledge and results by comparing two case studies that examine the impact of enterprise systems information on organizational functions and processes leading to realization of business value.


2020 ◽  
pp. 004728752093009
Author(s):  
Yi Wang ◽  
Mimi Li

As the main contributor to leisure vacations, family travel is an important topic in academia; however, limited tourism research has addressed the subject. Most family travel studies have focused on who makes the decision with comparatively little attention paid to how. The present study argues that family travel decision making is determined by interactions between different individual, relational, and family identities using various communication approaches. Based on the family identity bundle framework, this research employs a longitudinal qualitative approach to examine 28 Chinese families’ summer holiday decision-making processes. The results indicate that two moderators (relationships with extended family and involvement in social groups through social media) strengthen the influence of identity bundles on decision making, as do different communication forms on decisions. Findings from this study contribute to the body of knowledge on family tourism decision making and provide suggestions for family tourism promotion.


2019 ◽  
Author(s):  
Yumna Puspita ◽  
M. Malik

This paper discusses the Analysis and Implementation of Process Business Integration Systems at Consultant Service Companies. This study took the case of a consulting service company in Indonesia with qualitative research and the process of collecting data through observation, interviews and trials. The consulting company divides the workintheformofprojectsaccordingtothenumberofclients.Businessprocessesthat are integrated into each project are very important to support project’s implementation activities and decision making that is fast, precise, and accurate. The impact of a system that is not integrated will reduce effectiveness and efficiency in the decision making process in the business. In addition, the management must know the progress of project’s activities in real time, detailed and timely, so that the management can make decisions quickly, precisely and accurately. Therefore, optimizing the company’s business system processes needs to be considered, so that the company’s business processes becomes effective and efficient. In this study, the author will optimize the system’s procedures before obtaining a project, implementing a project and after a project is done, and then providing a recommendation regarding the preparation of systems related to the business process.


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