BPM and BI in SMEs: The role of BPM/BI alignment in organizational performance

Bach, Mirjana Pejić; Vukšić, Vesna Bosilj; Glavan, Ljubica Milanović

doi:10.1177/1847979019874182

Cited by 15 publications

(7 citation statements)

References 54 publications

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“…Many researchers pointed out that FSMEs do not have BI (business intelligence) awareness for decision-making. Accordingly, FSMEs are not mature in terms of analyzing data and generating knowledge [49]. Management practices in family-owned businesses are less formal than in other types of firms.…”

Section: Referencesmentioning

confidence: 99%

Eliminating Non-Value-Added Activities and Optimizing Manufacturing Processes Using Process Mining: A Stock of Challenges for Family SMEs

Laghouag,

Zafrah,

Qureshi

et al. 2024

Sustainability

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Family small and medium enterprises (FSMEs) differ from non-family SMEs regarding leadership type, human resource management practices, innovation orientation, change management, information and communication technology deployment, process maturity, and resource availability. These differences present challenges when leading any change. Process mining (PM) tools can optimize process value and eliminate non-added-value activities in FSMEs based on “Event Logs”. The present study investigates how a PM project is implemented in an FSME operating in the agri-food sector, focusing on challenges faced in every project phase to extract the most appropriate process that eliminates all sources of waste and bottleneck cases. Drawing upon the L*Lifecycle methodology combined with quality and lean management tools such as the fishbone diagram, Pareto diagram, and overall equipment efficiency (OEE), this study applied a PM project to a manufacturing process for an FSME operating in the agri-food sector. To achieve theoretical production capacity (TPC) and customer satisfaction, the method was analyzed and optimized using Disco and ProM toolkits. The results analysis using Disco and ProM toolkits gave clues about the organizational and technical causes behind the manufacturing process’s inefficiency. First, OEE showed that the studied FSME is struggling with equipment availability. Then, the implementation of the L*Lifecycle methodology allowed for the identification of five critical causes. An action plan to eliminate causes was proposed to the FSME managers.

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Section: Referencesmentioning

confidence: 99%

Eliminating Non-Value-Added Activities and Optimizing Manufacturing Processes Using Process Mining: A Stock of Challenges for Family SMEs

Laghouag,

Zafrah,

Qureshi

et al. 2024

Sustainability

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“…La idea de la minería de procesos permite descubrir, monitorear y mejorar los procesos reales a través de la extracción de conocimiento de los registros de eventos ampliamente disponibles en los actuales sistemas (de información), que incluye [10,11]:…”

Section: Minería De Procesosunclassified

Propuesta para la integración de los riesgos en el ciclo de vida de los procesos de negocio y su relación con la minería de procesos

Romero

Mendoza-Moreno²,

García-Corrales³

et al. 2022

DYNA

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Por medio de un modelado de procesos de negocios, en general las organizaciones han logrado optimizar sus procesos a través de una arquitectura de procesos robusta y automatizada. De igual forma, a través de la gestión de riesgos las empresas buscan garantizar que se identifique, analice y responda adecuadamente a los riesgos que pueden afectar negativamente la realización de sus objetivos estratégicos. Con base en la evaluación de riesgos, una organización deberá elegir si acepta, mitiga o transfiere el riesgo a otro o al mismo proceso. Cuando se realiza de manera efectiva, la gestión de los riesgos en los procesos de negocio asegura que se prioricen los recursos limitados de la organización para abordar de la manera más eficiente los problemas que más les afectarán, y se logre de esa manera su continuidad y sostenibilidad. Este artículo explora preguntas asociadas a: ¿Cuáles son los riesgos que se asocian a los procesos de negocio? y ¿Cómo el uso del modelado BPM y la minería de procesos facilitan la gestión de los riesgos en todas las etapas del ciclo de vida de los procesos? Los aportes más importantes están relacionados con el mapeo de los riesgos del ciclo a un marco funcional y específico, y afectan el ciclo de vida en su totalidad, los cuales fueron analizados por medio de una minería de procesos.

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“…We focused on SMEs that belonged to the manufacturing industry. The sampling selection was realized following Borrego, Douglas, and Amelink (2009), Heckathorn (2011), Haseeb et al (2019) and Pejić Bach et al (2019). The estimation of range selection was calculated according formula (1) from Cochran (1977):…”

Section: Research Sample and Proceduresmentioning

confidence: 99%

“…Due to the objectives of project VEGA No 1/0918/16, this research has limitation in research sampling; because we take into account also SMEs, which have knowledge about cluster cooperation. The selection of respondents due to their specificity was realized on the principle of snow ball method, This method is used also by authors as Heckathorn (2011), Haseeb et al (2019), Pejić Bach et al (2019). The sample error was calculated from total population of SMEs at 95% confidence level and 50% of sample proportion.…”

Section: Research Sample and Proceduresmentioning

confidence: 99%

Technical, Information and Innovation Risks of Industry 4.0 in Small and Medium-Sized Enterprises – Case of Slovakia and Poland

Snieška

Navickas

Havierniková

et al. 2020

Journal of Business Economics and Management

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The implementation of Industry 4.0 concept brings many risks mainly for small and medium-sized enterprises (SMEs). The objective of the study is a diagnosis and comparison of the perception of selected risk issues connected with Industry 4.0 implementation in Slovak and Polish SMEs, which have knowledge or experience with cluster cooperation. This category of SMEs is specific due to the fact, that not all of the SMEs have experience with cluster cooperation or know this form of doing business. For this purpose, the questionnaire survey of 787 respondents was conducted, focused on the risks of Industry 4.0 that are the most important for SMEs included in three categories: technical readiness, risks of innovation and risks of information. The statistical analysis of the survey results with the application of software STATISTICA and Social Science Statistics calculator leads to the conclusion that, except for the kind of risk of “New products and services”, all the observed risks are perceived as higher by Slovak SMEs than by Polish SMEs. The novelty of this research and its contribution to the body of knowledge lies in identification and evaluation of most important risks for specific group of SMEs related to Industry 4.0 implementation compared in two countries. The results of this research provide useful information for the practical fine-tuning of the policy aimed at transfer to Industry 4.0 in specific field – cluster cooperation, depending on the size of the enterprise.

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BPM and BI in SMEs: The role of BPM/BI alignment in organizational performance

Cited by 15 publications

References 54 publications

Eliminating Non-Value-Added Activities and Optimizing Manufacturing Processes Using Process Mining: A Stock of Challenges for Family SMEs

Eliminating Non-Value-Added Activities and Optimizing Manufacturing Processes Using Process Mining: A Stock of Challenges for Family SMEs

Propuesta para la integración de los riesgos en el ciclo de vida de los procesos de negocio y su relación con la minería de procesos

Technical, Information and Innovation Risks of Industry 4.0 in Small and Medium-Sized Enterprises – Case of Slovakia and Poland

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