Abstract Business Process Management (BPM) is an important discipline for organizations to manage their business processes. Research shows that higher BPM-maturity leads to better process performance. However, contextual factors such as culture seem to influence this relationship. The purpose of this paper is to investigate the role of national culture on the relationship between BPM-maturity and process performance. A multiple linear regression analysis is performed based on data from six different countries within Europe. Although the results show a significant relationship between BPM-maturity and process performance, no significant moderation effect of national culture has been found. The cultural dimension long term orientation shows a weak negative correlation with both BPM-maturity and process performance. Through a post-hoc moderation analysis on each dimension of BPM-maturity, we further find that long term orientation negatively moderates the relationship between process improvement and process performance. Three other moderation effects are also discovered. The results of this study contribute to insights into the role of culture in the field of BPM.
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During recent years the world has seen rapid changes such as globalization, the Internet, and the rise of new economies. To survive these changes organizations need to be in control of their processes, and be able to continuously improve the process performance. Therefore many organizations are increasingly adopting Business Process Management (BPM). However, it is not clear if the implementation of BPM(S) is really adding value to an organization. Consequently, in this paper, we try to answer the following research question: 'Does adoption of Business Process Management lead to a higher process performance?' Based on quantitative research we show that there is dependence between the performance of processes within an organization and the BPM maturity of that organization. As a result we conclude that improvement in process performance can be attained by increasing the BPM maturity of an organization.
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Longitudinal Business Process Management (BPM) studies are rare. BPM maturity and process performance can be used to quantify an organization's BPM evolution. This research aims to examine the growth of BPM maturity over time and its impact on process performance inside an organization in continuous transformation. Over a seven-year period, BPM maturity and process performance were measured annually at a Dutch university. During this time, the organization has undergone an organizational restructuring with a focus on process management and has temporarily switched completely to digital education propelled by the Covid-19 crisis. Based on a repeated cross-sectional study (N = 921), the results present key BPM maturity features that are critical during disruptive organizational transformations. Furthermore, we found that BPM maturity is positively related to process performance throughout organizational changes during the period of our research
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from the article: "Purpose – The importance of contextual factors is increasingly recognized in the field of business process management (BPM). The purpose of this paper is to investigate the relation between BPM maturity and process performance and the uncharted differences of two contextual factors (size and sector) in this relation. Design/methodology/approach – An empirical investigation is presented based on a sample of 165 organizations. Using partial least square-multi group analysis (PLS-MGA) differences between size and sector are investigated. Findings – Overall, information technology, resources and knowledge and process measurement are the most pivotal BPM maturity dimensions that contribute to a better organizational process performance. The results showed no differences between private and public organizations in the relation between BPM maturity dimensions and process performance. In contrast, product organizations benefit more than service organizations from continuous improvement of their processes. Moreover, utilizing IT technology is more beneficial for small organizations rather than large organizations. Originality/value – There is a clear lack of empirical studies investigating the role of context. This research extends the limited body of literature that investigated contextual factors in the field of BPM. It is the first study to add size and sector in the posited multi-dimensional model of BPM maturity dimensions and process performance. The results provide guidance for scholars and practitioners that work on BPM practices in different contexts."
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Abstract - This study investigates the Business Process Management (BPM) maturity and process performance of the Dutch Department of Defence (DDoD). Like any other organisation, defence departments use BPM to manage their daily business processes. Despite using BPM, the organisation has never undertaken the initiative to analyse its BPM Maturity level and process performance. This paper presents the first results of such a study and compares this to similar military organisations, non-profit organisations and other organisations in the private sector. The DDoD BPM Maturity index score of 2.66 is similar to that of peer organisations. The study provides some suggestions for research and practical implications for organisation.
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Process Mining can roughly be defined as a data-driven approach to process management. The basic idea of process mining is to automatically distill and to visualize business processes using event logs from company IT-systems (e.g. ERP, WMS, CRM etc.) to identify specific areas for improvement at an operational level. An event log can be described as a database entry that signifies a specific action in a software application at a specific time. Simple examples of these actions are customer order entries, scanning an item in a warehouse, and registration of a patient for a hospital check-up.Process mining has gained popularity in the logistics domain in recent years because of three main reasons. Firstly, the logistics IT-systems' large and exponentially growing amounts of event data are being stored and provide detailed information on the history of logistics processes. Secondly, to outperform competitors, most organizations are searching for (new) ways to improve their logistics processes such as reducing costs and lead time. Thirdly, since the 1970s, the power of computers has grown at an astonishing rate. As such, the use of advance algorithms for business purposes, which requires a certain amount of computational power, have become more accessible.Before diving into Process Mining, this course will first discuss some basic concepts, theories, and methods regarding the visualization and improvement of business processes.
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Aim: To evaluate healthcare professionals' performance and treatment fidelity in the Cardiac Care Bridge (CCB) nurse-coordinated transitional care intervention in older cardiac patients to understand and interpret the study results. Design: A mixed-methods process evaluation based on the Medical Research Council Process Evaluation framework. Methods: Quantitative data on intervention key elements were collected from 153 logbooks of all intervention patients. Qualitative data were collected using semi-structured interviews with 19 CCB professionals (cardiac nurses, community nurses and primary care physical therapists), from June 2017 until October 2018. Qualitative data-analysis is based on thematic analysis and integrated with quantitative key element outcomes. The analysis was blinded to trial outcomes. Fidelity was defined as the level of intervention adherence. Results: The overall intervention fidelity was 67%, ranging from severely low fidelity in the consultation of in-hospital geriatric teams (17%) to maximum fidelity in the comprehensive geriatric assessment (100%). Main themes of influence in the intervention performance that emerged from the interviews are interdisciplinary collaboration, organizational preconditions, confidence in the programme, time management and patient characteristics. In addition to practical issues, the patient's frailty status and limited motivation were barriers to the intervention. Conclusion: Although involved healthcare professionals expressed their confidence in the intervention, the fidelity rate was suboptimal. This could have influenced the non-significant effect of the CCB intervention on the primary composite outcome of readmission and mortality 6 months after randomization. Feasibility of intervention key elements should be reconsidered in relation to experienced barriers and the population. Impact: In addition to insight in effectiveness, insight in intervention fidelity and performance is necessary to understand the mechanism of impact. This study demonstrates that the suboptimal fidelity was subject to a complex interplay of organizational, professionals' and patients' issues. The results support intervention redesign and inform future development of transitional care interventions in older cardiac patients.
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In this study we analyze the difference in perception regarding the BPM initiative between management and employees of an operational department of the Peruvian Air Force and compared the BPM Maturity with benchmark studies. The research question is: Does differences in perception of BPM Maturity between managers and employees lead to differences in the evaluation of process performance? The underlying BPM maturity model consists of 7 dimensions: Process Awareness, Process Description, Process Measurement, Process Control, Process Improvement, Process Resources and Knowledge, and Process IT Tools. The total dataset consists of 241 respondents and validated scales were used to measure BPM Maturity and Process Performance. The results show that there are no significant differences between managers and employees. Regression analysis shows that Process Measurement, Process Control and Process Resources are the key determents for Process Performance. The results offer opportunities to launch new BPM initiatives within the case study organization.
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This article describes the relation between mental health and academic performance during the start of college and how AI-enhanced chatbot interventions could prevent both study problems and mental health problems.
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