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The purpose of this paper is to demonstrate and evaluate the prioritization and categorization method (PCM), which facilitates the active participation of process stakeholders (managers, owners, customers) in process assessments. Stakeholders evaluate processes in terms of effectiveness, efficiency and relevance against certain contextual business and industry factors. This collective evaluation serves as a foundation for the management decision-making process regarding process improvement and redesign.

The PCM is examined based on a case study at Ericsson. In total, 55 stakeholders, representing different organizational levels and functions, assessed eight core processes. Follow-up interviews and feedback after the evaluation sessions were collected for triangulation purpose.

The PCM helps Ericsson evaluate its processes within business context and industry environments. The results show that, to realize seamless end-to-end processes in the eight assessed processes, Ericsson has to make a greater effort to improve its process structures, governance and culture for fulfilling the needs of future business. Ericsson Steering Group is satisfied with the insights provided and has decided to train more stakeholders to use PCM.

This research is based on a single case within a specific organizational setting. The results may not be necessary generalizable to other business and industry settings. Organizations need to configure PCM in consideration of their own processes and business contingencies to explore and fulfil their process improvement purposes.

This paper presents a new context-aware, easy-to-use and holistic method for business process management (BPM), the PCM. The method requires the active engagement of stakeholders, it focusses on developing dynamic BPM capabilities and fully embeds organizational contingencies and contextual factors in the decision-making regarding BPM. This paper contributes a novel method to explorative BPM.

The purpose of this paper is to determine the state-of-the-art in research on process owners, a key role within business process management and process governance, and thus to increase our understanding of the role of process owners.

The author conducts a systematic literature review of research shedding light on the role of process owners. The review includes 100 academic papers and 10 books on BPM.

Findings from the review demonstrate the significance of appointing process owners and showcase process owners’ role and responsibilities, as well as obstacles to and enablers of effective process ownership.

Based on the findings from the review, the author proposes a comprehensive framework on process ownership. The review provides a knowledge base for future research to build upon and can serve as a guide for practitioners. The review also identifies several research gaps and opportunities for future research.

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.

Business Process Management (BPM) is key for successful organisational management. However, BPM techniques are often criticized for their inability to deal with continuous and significant change and uncertainty. Following recent calls to make BPM more agile and flexible towards change, this study presents the results of a systematic literature review (SLR) of agile concepts in BPM. Analysing and synthesising previous works and drawing on agility research in the field of IS, this paper introduces a framework for agile BPM. Integrating different components that define agility in the context of BPM, this framework offers a number of important implications. On the theoretical side, the authors argue that the concept of agile BPM departs in some important ways from traditional BPM research. This, in turn, points to various opportunities for future research. On the practical side, the authors suggest that emerging technologies, such as process mining, embody important features that help organisations to be more responsive to change. The paper aims to discuss these issues.

To assess the state of the art of agility in the BPM research, the authors conducted an SLR. More specifically, the authors drew on the approach of vom Brocke et al. (2009, 2015), which consists of five steps: defining the scope of the review; conceptualising the topic; searching for literature; analysing and synthesising literature; and developing a research agenda.

This study presents the results of a systematic review of agile concepts in BPM. This study then proposes a resulting research framework that can be used to strengthen the concept of agile BPM and provides an agenda for research in this rapidly growing and increasingly necessary area of BPM.

In this paper, the authors establish a shared understanding of agile BPM and develop an agile BPM framework that represents the current state as well as implications for research and practice in agile BPM.

Categorizing projects allows for better alignment of a portfolio with the organizational strategy and goals. An appropriate project categorization helps understand portfolio’s structure and enables proper project portfolio selection (PPS). In practice, project categorization is, however, conducted in intuitive approaches. Furthermore, little attention has been given to project categorization methods in the project management literature. The purpose of this paper is to provide researchers and practitioners with a data-driven project categorization process designed for PPS.

The suggested process was modeled considering the main characteristics of project categorization systems revealed from the literature. The clustering analysis is used as the core-computing technology, allowing for an empirically based categorization. This study also presents a real-world case study in the automotive industry to illustrate the proposed approach.

This study confirmed the potential of clustering analysis for a consistent project categorization. The most important attributes that influenced the project grouping have been identified including strategic and intrinsic features. The proposed approach helps increase the visibility of the portfolio’s structure and the comparability of its components.

There is a lack of research regarding project categorization methods, particularly for the purpose of PPS. A novel data-driven process is proposed to help mitigate the issues raised by prior researchers including the inconsistencies, ambiguities and multiple interpretations related to the taken-for-granted categories. The suggested approach is also expected to facilitate projects evaluation and prioritization within appropriate categories and contribute in PPS effectiveness.

Knowledge management is crucial for enterprise resource planning (ERP) systems implementation in real industrial environments, but this is a highly demanding task. The purpose of this paper is to examine the effectiveness of knowledge identification, categorisation and prioritisation that contributes to achieving ERP implementation success.

This study adopts a mixed methods approach; a qualitative phase to identify and categorise knowledge types and sub-types; conducting in-depth interviews with ERP clients and implementation partners; plus a quantitative phase to prioritise knowledge types and sub-types based on their contribution to achieving ERP success for business performance improvement. An analytic hierarchy process-based questionnaire was used to collect empirical data for the quantitative phase.

This study has been able to identify, categorise and rank various types of ERP-related knowledge based on in-depth interviews and survey responses from both ERP clients and implementation partners. In total, 4 knowledge types and 21 sub-types were ranked based on their contribution to achieving ERP success; 4 variables of information quality, systems quality, individual impact and organisational impact were used to measure ERP success.

The empirical findings demonstrate exactly what kinds of knowledge need to be managed, enabling knowledge prioritisation when a client organisation or an implementation partner steps into an ERP implementation, in a real industrial environment.

Limited facilities operating and modernization budgets require organizations to carefully identify, prioritize and authorize projects to ensure allocated resources align with strategic objectives. Traditional facility prioritization methods using risk matrices can be improved to increase granularity in categorization and avoid mathematical error or human cognitive biases. These limitations restrict the utility of prioritizations and if erroneously used to select projects for funding, they can lead to wasted resources. This paper aims to propose a novel facility prioritization methodology that corrects these assessment design and implementation issues.

A Mamdani fuzzy logic inference system is coupled with a traditional, categorical risk assessment framework to understand a facilities’ consequence of failure and its effect on an organization’s strategic objectives. Model performance is evaluated using the US Air Force’s facility portfolio, which has been previously assessed, treating facility replicability and interruptability as minimization objectives. The fuzzy logic inference system is built to account for these objectives, but as proof of ease-of-adaptation, facility dependency is added as an additional risk assessment criterion.

Results of the fuzzy logic-based approach show a high degree of consistency with the traditional approach, though the value of the information provided by the framework developed here is considerably higher, as it creates a continuous set of facility prioritizations that are unbiased. The fuzzy logic framework is likely suitable for implementation by diverse, spatially distributed organizations in which decision-makers seek to balance risk assessment complexity with an output value.

This paper fills the identified need for portfolio management strategies that focus on prioritizing projects by risk to organizational operations or objectives.

In the retailing industry, database is the time and place where a retail transaction is completed. E-business processes are increasingly adopting databases that can obtain in-depth customers and sales knowledge with the big data analysis. The specific big data analysis on a database system allows a retailer designing and implementing business process management (BPM) to maximize profits, minimize costs and satisfy customers on a business model. Thus, the research of big data analysis on the BPM in the retailing is a critical issue. The paper aims to discuss this issue.

This paper develops a database, ER model, and uses cluster analysis, C&R tree and the a priori algorithm as approaches to illustrate big data analysis/data mining results for generating business intelligence and process management, which then obtain customer knowledge from the case firm’s database system.

Big data analysis/data mining results such as customer profiles, product/brand display classifications and product/brand sales associations can be used to propose alternatives to the case firm for store layout and bundling sales business process and management development.

This research paper is an example to develop the BPM of database model and big data/data mining based on insights from big data analysis applications for store layout and bundling sales in the retailing industry.

The purpose of this paper is to develop a framework for identification, categorization and prioritization of lean techniques adopted in a hotel supply chain.

A survey tool is used for the identification of lean techniques that are relevant to a hotel supply chain. The targeted sample includes experts from 50 four- and five-star hotels in the United Arab Emirates (UAE) that confirmed experience in implementing lean practices across hotels supply chain. A Supplier-Inputs-Process-Outputs-Customers (SIPOC) chart and experts’ opinion are used to allocate and categorize the identified lean techniques across the construct of the hotel supply chain. Finally, analytical hierarchy process (AHP) is used to prioritize the criteria and sub-criteria of adopted lean techniques.

Study results have identified six main categories of lean practices and 19 specific lean techniques as relevant to a hotel supply chain. The identified categories include JIT, Kaizen, Quality, Inventory, Maintenance and Standardization. The study found that JIT and Kaizen take the top priority among the identified categories of lean practices. In line with that, on-time service to customers, effective improvement system and on-time delivery from suppliers were found to be the three most relevant lean techniques to a hotel supply chain.

The study has targeted a representative sample of hotels with experience in implementing lean practices. Study findings have several implications to researchers and practitioners for effective adoption of lean techniques within a hotel supply chain. However, the accuracy and credibility of results obtained from this research including SIPOC allocation and lean categorization are highly dependent on the accuracy and credibility of collected empirical data from surveyed hotels within the study context. Results of AHP prioritization also depend on the credibility of judgements made by the hotels’ supply chain experts.

The study provides the hospitality industry with a structured approach that can help in a prioritized adoption of most relevant lean techniques across the hotel supply chain to reduce wastes, create value, increase efficiency and improve the service level. Study findings can be used by hotel management to direct and focus the effort of lean capacity building, resources allocation and implementation plans.

Limited research is available on lean management in the context of a hotel supply chain. Also, most of the previous research is focused on lean impacts, while academics and practitioners agree that the identification and prioritization of most relevant lean techniques is crucial to the successful implementation of lean management for waste reduction and value creation. This research addresses this important issue in hotel supply chains and proposes a structured approach for effective lean adoption.

The aim of this paper is to study the current status and development of waqf lands in Malaysia, specifically in the state of Selangor, Malaysia and propose a new model for categorisation of its waqf lands. Previous studies on waqf lands and allocation of financial resources on these lands have been general and scanty.

They lack the focus of categorising waqf lands according to sectors, economic attributes and strategic locations so that it was not easy to match these lands to the kind of resources and investment models required for their development. The present research is carried out to categorise waqf lands and prioritise them according to four major sectors, namely agriculture, commercial, residential and religious

The study is quantitative in nature and uses a multi criteria decision-making method, the Analytic Hierarchy Process (AHP) to prioritise the waqf lands by taking inputs from the officers working in Selangor Islamic Religious Council and some other related organisations. The study concludes with recommendations and suggestions for future research.

I have proposed a new model for the categorisation of waqf lands. Previous studies on waqf lands and its allocation of financial resources have been general and revealing. The present research is carried out to categorise waqf lands and prioritise them according to four major sectors, namely agriculture, commercial, residential and religious.