Search results

The aim of the article is to determine research areas and to recognize the current direction in the development of maturity models, to indicate the key areas of organizational maturity models (OMMs) development and their classification as well as to pinpoint research gaps and areas of potential development of OMMs in the context of scientific research and the needs of management practitioners.

The research was conducted using the literature review method, bibliometric analysis and visual mappings.

The empirical classification developed in this paper identified 12 categories based on management areas, constituting the criteria for classifying OMMs models, where OMMs are being developed: Information Technology, Project Management, Business Management and Strategy, Human Resource, Ergonomics, Health and Safety Management, Industry 4.0 concept, Knowledge Management, Process Management, Performance Management, Quality Management, Supply Chain Management, Risk Management and Innovation Management.

The main limitation is the analysis in the scope of topic OMMs including solely the Scopus and Thompson Reuters Web of Science database. Another shortcoming is conducting data analysis and classification based on the abstracts of the selected articles.

This work is a starting point to prospect trends for future revolving around the OMMs crossing different databases.

This study aims to develop a taxonomy of organizations according to business process orientation (BPO) maturity and investigate the difference between clusters in terms of performance outcome.

A survey of various organizations in Indonesia is conducted. The main variables are critical practices (CPs) as the measurement variables of BPO maturity and performance outcome. Cluster analysis is performed to obtain an empirical taxonomy of the organizations. ANOVA test is used to test if there are statistically different performance outcomes across different clusters.

Cluster analysis resulted in six archetypes labeled according to their characteristics: Beginners, Non-technical, Domestics, IT laggards, Excellers, and Champions. The ANOVA test results show that the archetypes with high CPs tend to have high perceived performance results.

This study is limited because the authors use a single dataset from organizations in Indonesia. Further study involving more organizations will be beneficial to validate and enrich the taxonomy of organizational archetypes.

Results of the study can be used as a benchmarking tool by organizations to identify their positions against other organizations and set their areas for improvement. It can also help them identify a roadmap for improvement that will benefit their organization.

Using the CPs as a measure of BPO enables the authors to identify supplier orientation and information and technology (IT) implementation as the primary differentiators within the taxonomy. The use of IT differentiates the bottom, middle and top clusters.

Despite the multitude of publications concerning the process maturity assessment models applied in the private sector, the matter of the choice of a process maturity assessment model is not so unambiguous in the public sector. The goal of this article is to identify process maturity assessment models applicable to the public sector.

Literature review, enabling identification of process maturity assessment models applicable to the public sector. Comparative analysis, making it possible to identify the advantages and disadvantages of the selected maturity assessment models.

Models enabling assessment of process maturity and e-government maturity applicable to the public sector have been identified. Potential benefits and limitations specific to the analysed models have been established.

The publication indicates which process maturity assessment models can be successfully applied in the public sector. As such, it provides important support for the public sector in the decision-making process concerning the choice and implementation of a specific process maturity assessment model.

This is one of the few study which refers to a comprehensive review and analysis of process maturity assessment models applicable to the public sector. As the relevant contribution, it clarifies the relationships and differences between process and e-government maturity assessment models. This study provides important aid to both practitioners and theorists in terms of the selection of a process maturity assessment model against specific research needs.

Although businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.

The integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.

The results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.

In pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.

The provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.

While previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.

The purpose of this study is to identify the characterizations of business process management (BPM) methodology in hotel industry through an aggregate processing of the core cyclesteps (CCCs) of the highly-cited BPM life-cycle models in the literature aiming to highlight the major issues of the current methodological approach of BPM in hotels when to put the notion of service process into practice.

The paper identifies and examines the most popular BPM life-cycles models in the literature and locates 15 life-cycles that are highly cited. The paper then focuses on applying the theory on nine listed hotel companies in Egypt using a questionnaire in the form of a semi-structured interview technique.

The CCSs of BPM life-cycle model applied in hotels revealed a gap between BPM theory and practice in this sector. Utilizing this model of BPM life-cycle, the paper focuses on describing several of the main problems or pitfalls found in the methodological approach of BPM in hotels, which brings the essence of the whole operation management problems.

In light of these findings, the paper discusses the practical implications and focuses on recommendations on how to properly improve the methodological approach of BPM in hotels in order to get better business results.

The paper bridges the gap between BPM theory and practice and suggests recommendations that will assist hotel companies to eliminate the problems of poor process management (PM). There are also future research recommendations to enhance the knowledge of BPM theory in the service sector.

The purpose of this study is to determine the influence of project critical success factors (CSFs) on change management in the context of business process management (BPM). Despite widespread interest in BPM, the existing literature is insufficient in addressing the antecedents that contribute to change management in business process projects.

Key factors of change management success in BPM projects were initially identified in a systematic literature review (SLR) and were used as antecedents of change management through a structural equation modeling (SEM) with 464 business project stakeholders. Next, a neural network analysis allowed the key factors to be ranked non-linearly. Finally, a latent class analysis (LCA) was performed to determine the sample's heterogeneous groups based on their project management characteristics.

Project management, top management support and technological competencies were the main CSFs identified as having positive effects on change management. The most important factor is project management, followed by top management support, which plays a crucial mediating role in enabling change management. Although relevant, technological competencies were secondary in the study. Regarding project management CSF, four heterogeneous classes of individuals were determined.

Although this study provides an opportunity to observe CSFs, it does not address the need to analyze the phenomenon in different classifications of projects, regarding maturity, complexity, project management approach and other aspects that differentiate projects in a meaningful way.

The study allows practitioners to understand the critical factors underlying change management and take necessary actions to manage it, recognizing that individuals have heterogeneous profiles regarding project management.

This study pioneeringly discusses the CSFs of change management BPM projects to enable successful change management, ranking the main factors and mapping heterogeneous profiles.

This study aims to develop a maturity model designed for assessing the current state of digitization in accounting firms.

The authors have developed this index where the maturity levels are defined from the life cycle theory. For the items of a maturity measure, the authors have adopted a multimethodological approach. That approach allows to identify 27 measurement items to cover the three dimensions of audit, reporting and taxation.

This research proposes a diagnostic tool specific to accounting firms. The authors have tested this index in the Tunisian context. The results show that there are two types of accounting firms. This study found the first firm in the embryonic phase and the other in the growth phase. This points out the active role of Tunisian accounting firms in technology integration.

This study highlights the integration of technology in the accounting field. Specifically, it aims to address technology management in accounting firms by measuring the degree of digitization of accounting firms. This research projects the use of information technologies (artificial intelligence, cloud, big data, etc.) in auditing, reporting and taxation.

On a practical level, this research provides an organizational diagnostic tool to assess the status of their accounting firms in terms of digitization. This will motivate practitioners to make frequent assessments, thus contributing to continuous improvement toward digitization.

The theoretical foundation of this research is based on the theory of the life cycle of technologies. This study is using this theory to identify and describe the current phase of the organization. And that is by indicating the overall scores on the technological capabilities of the accounting firms.

The ten principles of good business process management (BPM) support organizations in planning and scoping the organizations' BPM approach. Derived from literature and expert panels, the principles received much attention both in research and practice. This article develops a measurement instrument to operationalize the principles and to support organizations in measuring the degree to which they incorporate the principles in their BPM approach, that way advancing their BPM capabilities.

The authors applied the scale-development methodology, because this methodology is an established approach consisting of various techniques to develop measurement instruments. First, the authors used established techniques to develop such an instrument. Then, the authors assessed the validity and reliability of the developed instrument through a field survey with 345 participants.

The authors developed a valid and reliable measurement instrument for the ten principles of good BPM. The field survey's results reveal that the measurement instrument meets all required methodological standards. The instrument, thus, can be applied to help process owners and managers to evaluate their BPM approach and plan future actions based on potential shortcomings. Future research can both use and further develop the instrument, which serves as a conceptualization of the principles.

This study is the first to provide a measurement instrument for assessing an organizations' BPM practice against the ten principles of good BPM, which have become established as a much-considered and widely-used source of reference both in academia and practice. The authors also discuss how the instrument compares to and distinguishes from existing approaches to qualify BPM approaches, thus communicating the significance of the instrument.

This research proposes how Design for Six Sigma (DFSS) provides a complementary approach for business process management (BPM) lifecycle implementation in order to address gaps identified in the current literature.

The mandatory elements of a method (MEM) framework is used to illustrate DFSS's maturity as a process redesign method. The use of DFSS in a BPM context is described through several action research case examples.

This research specifies the procedure model (order of development activities), techniques, results, roles and information/meta model (conceptual data model of results) associated with using DFSS to address BPM-related challenges. The action research case examples provided discuss the details of implementing BPM using DFSS to design, implement and test redesigned processes to ensure they fulfill the needs of process participants.

While the case examples discussed were performed in only a few settings, which limits the generalizability of their results, they provide evidence regarding the wide range of domains in which the proposed DFSS-BPM approach can be applied and how the tools are used in different contexts.

This research offers a road map for addressing the challenges practitioners often face with BPM lifecycle implementation.

This research provides the first attempt to integrate DFSS as a complementary method for BPM lifecycle implementation.

This paper aims to provide an easy-to-use yet powerful tool to assess the organizational readiness to adopt effective Smart Working (SW). In light of this main objective, based on the current state of research, the study develops a maturity model to assess the SW organizational readiness (SWOR). The SWOR maturity model consists of three dimensions, each of them further detailed into two sub-dimensions. A tool was developed to make use of the model.

The SWOR maturity model was converted into a Web-based questionnaire that includes 54 questions based on 44 items to operationalize the model sub-dimensions. The questionnaire was used in a survey conducted at the Local Health Authority (ASL) of the province of Bari (Italy).

Several implications derive from the present study. From a managerial perspective, the SWOR maturity model supports companies in the as-is analysis of processes, technologies and human resources, which are the enablers of an effective SW, and in the development of a roadmap to achieve a desired “to-be” situation.

Despite recent studies on SW have identified the key drivers that affect the success of SW implementation, there is a lack of models and tools that help companies become aware of the actions and investments to be taken to move towards an effective SW adoption. Even the analysis of the literature on maturity models reveals a gap in the research related to the assessment of SW organizational readiness. The present paper tries to overcome these limitations.