Search results

1 – 10 of 13
Content available
Article
Publication date: 3 July 2017

Rahila Umer, Teo Susnjak, Anuradha Mathrani and Suriadi Suriadi

The purpose of this paper is to propose a process mining approach to help in making early predictions to improve students’ learning experience in massive open online…

Abstract

Purpose

The purpose of this paper is to propose a process mining approach to help in making early predictions to improve students’ learning experience in massive open online courses (MOOCs). It investigates the impact of various machine learning techniques in combination with process mining features to measure effectiveness of these techniques.

Design/methodology/approach

Student’s data (e.g. assessment grades, demographic information) and weekly interaction data based on event logs (e.g. video lecture interaction, solution submission time, time spent weekly) have guided this design. This study evaluates four machine learning classification techniques used in the literature (logistic regression (LR), Naïve Bayes (NB), random forest (RF) and K-nearest neighbor) to monitor weekly progression of students’ performance and to predict their overall performance outcome. Two data sets – one, with traditional features and second, with features obtained from process conformance testing – have been used.

Findings

The results show that techniques used in the study are able to make predictions on the performance of students. Overall accuracy (F1-score, area under curve) of machine learning techniques can be improved by integrating process mining features with standard features. Specifically, the use of LR and NB classifiers outperforms other techniques in a statistical significant way.

Practical implications

Although MOOCs provide a platform for learning in highly scalable and flexible manner, they are prone to early dropout and low completion rate. This study outlines a data-driven approach to improve students’ learning experience and decrease the dropout rate.

Social implications

Early predictions based on individual’s participation can help educators provide support to students who are struggling in the course.

Originality/value

This study outlines the innovative use of process mining techniques in education data mining to help educators gather data-driven insight on student performances in the enrolled courses.

Details

Journal of Research in Innovative Teaching & Learning, vol. 10 no. 2
Type: Research Article
ISSN: 2397-7604

Keywords

To view the access options for this content please click here
Article
Publication date: 25 March 2020

Avinash Bhardwaj and Ravi Kumar Sharma

The purpose of this paper is to attempt to use two industrial wastes; waste foundry sands (WFS) and molasses (M) along with lime (L) to improve the strength…

Abstract

Purpose

The purpose of this paper is to attempt to use two industrial wastes; waste foundry sands (WFS) and molasses (M) along with lime (L) to improve the strength characteristics of clayey soil.

Design/methodology/approach

In the first part of the study, the optimum percentages of materials (WFS, molasses, lime) have been found out by conducting differential free swell (DFS) and consistency limit tests on clayey soil by adding various admixtures. The second and third part of the study investigates the compaction behaviour and unconfined compressive strength (UCS) of clayey soil on addition of optimum amount of various materials alone and in combination with each other. Finally, the micro-structural behaviour of addition of optimum percentages of lime, WFS and molasses using Scanning electron microscopic technique has been discussed.

Findings

The laboratory results revealed that the addition of optimum content of lime along with WFS and molasses reduced DFS and plasticity index and increased maximum dry density and UCS values. The microstructural behaviour showed that the presence of lime and molasses filled the voids present in the soil and the addition of WFS helped in providing compact structure, thus improving the strength characteristics.

Practical implications

The study will be helpful in designing low-cost pavement designs for rural roads.

Social implications

The adverse effect of waste materials on environment may be solved by using them in improving the strength characteristics of clayey soils, thereby providing healthy environment to living beings.

Originality/value

The study will help to provide low-cost methods to improve strength characteristics of clayey soil along with the use of waste materials; the disposal of whose is a challenging task.

Details

Journal of Engineering, Design and Technology , vol. 18 no. 6
Type: Research Article
ISSN: 1726-0531

Keywords

To view the access options for this content please click here
Article
Publication date: 3 April 2017

Martin Lehnert, Alexander Linhart and Maximilian Roeglinger

Despite an obvious connection, business process improvement and business process management (BPM) capability development have been studied intensely, but in isolation. The…

Abstract

Purpose

Despite an obvious connection, business process improvement and business process management (BPM) capability development have been studied intensely, but in isolation. The authors thus aim to make the case for the research located at the intersection of both streams. The authors thereby focus on the integrated planning of business process improvement and BPM capability development as this is where, in the authors’ opinion, both streams have the closest interaction. The authors refer to the research field located at the intersection of business process improvement and BPM capability development as process project portfolio management. The paper aims to discuss these issues.

Design/methodology/approach

The authors structure the field of process project portfolio management drawing from extant knowledge related to BPM, project portfolio management, and performance management. The authors also propose a research agenda in terms of exemplary research questions and research methods.

Findings

The proposed structure shows which business objects and interactions should be considered when engaging in process project portfolio management. The research agenda contains exemplary questions structured along the intersections of BPM, project portfolio management, and performance management.

Research limitations/implications

This paper’s main limitation is that it reflects the authors’ individual viewpoints based on experiences of several industry projects and prior research.

Originality/value

This paper addresses a neglected research field, opens up new avenues for interdisciplinary BPM research, and contributes a novel perspective to the ongoing discussion about the future of BPM.

To view the access options for this content please click here
Article
Publication date: 1 December 2020

Thomas Grisold, Jan Mendling, Markus Otto and Jan vom Brocke

This study explores how process managers perceive the adoption, use and management of process mining in practice. While research in process mining predominantly focuses on…

Abstract

Purpose

This study explores how process managers perceive the adoption, use and management of process mining in practice. While research in process mining predominantly focuses on the technical aspects, our work highlights organizational and managerial implications.

Design/methodology/approach

We report on a focus group study conducted with process managers from various industries in Central Europe. This setting allowed us to gain diverse and in-depth insights about the needs and expectations of practitioners in relation to the adoption, use and management of process mining.

Findings

We find that process managers face four central challenges. These challenges are largely related to four stages; (1) planning and business case calculation, (2) process selection, (3) implementation, and (4) process mining use.

Research limitations/implications

We point to research opportunities in relation to the adoption, use and management of process mining. We suggest that future research should apply interdisciplinary study designs to better understand the managerial and organizational implications of process mining.

Practical implications

The reported challenges have various practical implications at the organizational and managerial level. We explore how existing BPM frameworks can be extended to meet these challenges.

Originality/value

This study is among the first attempts to explore process mining from the perspective of process managers. It clarifies important challenges and points to avenues for future research.

Details

Business Process Management Journal, vol. 27 no. 2
Type: Research Article
ISSN: 1463-7154

Keywords

To view the access options for this content please click here
Article
Publication date: 12 June 2018

Alessandro Stefanini, Davide Aloini, Elisabetta Benevento, Riccardo Dulmin and Valeria Mininno

This paper aims to investigate the process performances in Emergency Departments (EDs) with a novel data-driven approach, permitting to discover the entire patient-flow…

Abstract

Purpose

This paper aims to investigate the process performances in Emergency Departments (EDs) with a novel data-driven approach, permitting to discover the entire patient-flow, deploy the performances in term of time and resources on the activities and flows and identify process deviations and critical bottlenecks. Moreover, the use of this methodology in real time might dynamically provide a picture of the current situation inside the ED in term of waiting times, crowding, resources, etc., supporting the management of patient demand and resources in real time.

Design/methodology/approach

The proposed methodology exploits the process-mining techniques. Starting from the event data inside the hospital information systems, it permits automatically to extract the patient-flows, to evaluate the process performances, to detect process exceptions and to identify the deviations between the expected and the actual results.

Findings

The application of the proposed method to a real ED revealed being valuable to discover the actual patient-flow, measure the performances of each activity with respect to the predefined targets and compare different operating situations.

Practical implications

Starting from the results provided by this system, hospital managers may explore the root causes of deviations, identify areas for improvements and hypothesize improvement actions. Finally, process-mining outputs may provide useful information for creating simulation models to test and compare alternative ED operational scenarios.

Originality/value

This study responds to the need of novel approaches for monitoring and evaluating processes performances in the EDs. The novelty of this data-driven approach is the opportunity to timely connect performances, patient-flows and activities.

Details

Measuring Business Excellence, vol. 22 no. 2
Type: Research Article
ISSN: 1368-3047

Keywords

To view the access options for this content please click here
Article
Publication date: 14 August 2017

Pavlos Delias

The purpose of this paper is to manifest a method that exploits process analytics to discover critical knowledge for a business process. This knowledge eventually answers…

Abstract

Purpose

The purpose of this paper is to manifest a method that exploits process analytics to discover critical knowledge for a business process. This knowledge eventually answers to the question if process behavior can suggest which activities should be outsourced to get the performance improved.

Design/methodology/approach

The author linked waste sources to process behavioral patterns, and adopted the positive deviance paradigm to highlight compelling behaviors. Various analytic tools (generalized regression, clustering, etc.) were used to provide recommendations.

Findings

By outsourcing small parts of the process, significant process improvement is expected. Evidence-based process analytics can effectively support the relevant decisions.

Research limitations/implications

The author had no access to the relevant policy makers (process owners).

Originality/value

The author proposed an operationalization of concepts that connects process behavior to waste sources. The author presented the use of positive deviance as a guide for waste elimination projects.

Details

Industrial Management & Data Systems, vol. 117 no. 7
Type: Research Article
ISSN: 0263-5577

Keywords

To view the access options for this content please click here
Article
Publication date: 11 February 2019

Sara Dahlin and Hendry Raharjo

The purpose of this paper is to identify actual (as-is) patient pathway variation among breast cancer patients and to investigate the relationship between pathways and the…

Abstract

Purpose

The purpose of this paper is to identify actual (as-is) patient pathway variation among breast cancer patients and to investigate the relationship between pathways and the cost incurred by patients.

Design/methodology/approach

Both quantitative and qualitative methods were employed to analyze data from four Swedish hospital groups. Quantitative methods include event-log data mining and statistical analyses on the related patient cost from the Swedish breast cancer quality registry and case-costing system. Qualitative methods included collaboration with and interviewing domain experts.

Findings

Unique pathways, followed by only one patient, were generally costlier than the most and less frequent pathways. Earlier study findings are confirmed for mastectomy patients, with more frequent pathways having a lower cost, whereas contradicting and inconclusive results emerged for the partial mastectomy patient groups. Highest variation in pathways was identified for patients receiving chemotherapy.

Practical implications

The common belief – if one follows a standardized patient pathway, then the cost will be lower – should be re-examined based on the actual pathways that occur in reality.

Originality/value

The relationships between patient pathways and patient cost allow more complex insights, beyond the general causal relationship between successfully implementing a “to-be” care pathway and lower cost. This highlights data-driven research’s importance, where actual pathways (as-is) provide more useful information than to-be care pathways.

Details

International Journal of Health Care Quality Assurance, vol. 32 no. 1
Type: Research Article
ISSN: 0952-6862

Keywords

To view the access options for this content please click here
Article
Publication date: 4 February 2021

Ikeu Kania, Grisna Anggadwita and Dini Turipanam Alamanda

Village-owned enterprises, in this study called Badan Usaha Milik Desa (BUMDes), are rural communities economic empowerment program developed by the Indonesian Government…

Abstract

Purpose

Village-owned enterprises, in this study called Badan Usaha Milik Desa (BUMDes), are rural communities economic empowerment program developed by the Indonesian Government to encourage the growth of rural entrepreneurship by using the potential of locally owned resources. However, the implementation and effect of the BUMDes program are questionable. Thus, this study aims to investigate the role of BUMDes in encouraging rural entrepreneurship and strengthening rural economic development. In addition, this study also explores challenges in implementing the BUMDes program.

Design/methodology/approach

This study uses a qualitative method with a case study approach. Data were obtained through in-depth interviews using purposive sampling techniques to key people in management at five BUMDes in Garut Regency, West Java, Indonesia, which have successfully implemented the BUMDes program.

Findings

The findings of this study indicate that BUMDes are proven to encourage rural entrepreneurship with the dimensions of exploration and empowerment, capacity building and the support and involvement of all stakeholders. BUMDes were established in accordance with government policies based on the village discussion process as the culture of the Indonesian people by involving elements of the village government, associations and the community. However, the challenges in implementing BUMDes are still faced by managers including implementation and regulatory mismatches, lack of qualified human resources and lack of synergy between the village government and BUMDes.

Research limitations/implications

In this study, the development of a local economic empowerment program as a driver of rural entrepreneurship is carried out in the Indonesian context. In addition, based on the unique nature of case studies, making this study can only be implemented in cases that have similar characteristics. Therefore, in the context of other countries, it can be done by modifying the results obtained based on the conditions and potential of each region.

Originality/value

Although recognition of entrepreneurship is one of the main determinants of rural economic development, empirical research in this area is relatively rare. Thus, this study adds a new perspective on the BUMDes program as an effort to grow rural entrepreneurship.

Details

Journal of Enterprising Communities: People and Places in the Global Economy, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6204

Keywords

To view the access options for this content please click here
Article
Publication date: 19 September 2019

Enrico Battisti, S.M. Riad Shams, Georgia Sakka and Nicola Miglietta

The purpose of this paper is to improve understanding of the integration between big data (BD) and risk management (RM) in business processes (BPs), with special reference…

Abstract

Purpose

The purpose of this paper is to improve understanding of the integration between big data (BD) and risk management (RM) in business processes (BPs), with special reference to corporate real estate (CRE).

Design/methodology/approach

This conceptual study follows, methodologically, the structuring inter-textual coherence process – specifically, the synthesised coherence tactical approach. It draws heavily on theoretical evidence published, mainly, in the corporate finance and the business management literature.

Findings

A new conceptual framework is presented for CRE to proactively develop insights into the potential benefits of using BD as a business strategy/instrument. The approach was found to strengthen decision-making processes and encourage better RM – with significant consequences, in particular, for business process management (BPM). Specifically, by recognising the potential uses of BD, it is also possible to redefine the processes with advantages in terms of RM.

Originality/value

This study contributes to the literature in the fields of real estate, RM, BPM and digital transformation. To the best knowledge of authors, although the literature has examined the concepts of BD, RM and BP, no prior studies have comprehensively examined these three elements and their conjoint contribution to CRE. In particular, the study highlights how the automation of data-intensive activities and the analysis of such data (in both structured and unstructured forms), as a means of supporting decision making, can lead to better efficiency in RM and optimisation of processes.

Details

Business Process Management Journal, vol. 26 no. 5
Type: Research Article
ISSN: 1463-7154

Keywords

To view the access options for this content please click here
Article
Publication date: 5 March 2018

Mahendrawathi ER, Noval Arsad, Hanim Maria Astuti, Renny Pradina Kusumawardani and Rivia Atmajaningtyas Utami

The purpose of this paper is to present the result of using process mining to model the production planning (PP) process of a manufacturing company that is supported by…

Abstract

Purpose

The purpose of this paper is to present the result of using process mining to model the production planning (PP) process of a manufacturing company that is supported by enterprise resource planning (ERP) systems.

Design/methodology/approach

This paper uses event logs obtained from the case company’s ERP database. The steps for this research are planning process mining implementation, extraction and construction of event log, discovering process model with Heuristic Miner and analysis.

Findings

Process model obtained from process mining shows how the PP is actually conducted. It shows the loop in materials requirement planning and create plan order process. Furthermore, the occurrences of changing plan order date and production line indicate the schedule instability in the case company. Further analysis of the material management (MM) event log shows the implication of production plan changes on MM. Continuous change in the plan affects material allocation priority and may result in a mismatch between production needs and the materials available.

Research limitations/implications

The study is only conducted in a single and specific case. Therefore, even though the findings provide good insight, the use of solitary case study does not imply a general result applied to other cases. Hence, there is a need to conduct similar studies on various cases so that a more generic conclusion can be drawn.

Practical implications

The result provides insights into how the current company’s policy of adjusting the production plan to accommodate changing demand impacts their operation. It can help the company to consider a better balance between flexibility and efficiency to improve their process.

Originality/value

The paper demonstrates the use of process mining to capture the real progression of PP based on the data stored in the company’s ERP database, which give an insight into how a real company conducts their PP process, the implication of schedule instability on MM and production. The novelty of this research lies in the use of process mining to attest to the schedule nervousness issue at a process level.

Details

Journal of Enterprise Information Management, vol. 31 no. 2
Type: Research Article
ISSN: 1741-0398

Keywords

1 – 10 of 13