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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.

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.

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.

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.

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.

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.

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.

Trust is an increasingly important requirement for any business and as a result has become a contemporary design criterion for business processes. However, the literature to date is very much focused on the technical (security) aspects, which are provider centric, as opposed to trust that is customer centric. In this paper, the authors extended an initial meta-model of trust-aware process design by proposing a way to capture trust-intensity for four trust dimensions, i.e. input, people, process and output and an organizational trust position. The authors also investigate the deployment of the extended meta-model in practice.

An extensive literature study is conducted to derive an understanding of the dimension's customer trust when interacting with an organization. Based on the findings of the literature review and a previously developed trust meta-model, the authors propose a way to describe an organizational trust position, i.e. the depiction of how much uncertainty is prevalent in the trust dimensions. Next, the authors conducted an exploratory case study using secondary data to validate the extended meta-model.

The case study demonstrated the applicability of the extended trust meta-model and derived actionable practices. In this case, the Indonesian food delivery company GoFood, the authors identified trust concerns in the input, process, resources and output of their business at the start of their operations. Since then, GoFood took specific actions to reduce their operational, behavioral and perceived uncertainty and these identified trust concerns. To a lesser degree, GoFood has managed vulnerability issues and invested in measures to increase customers' confidence. As a result of reduced uncertainties, GoFood's business has grown and became the number one in food service delivery in Indonesia.

The approach to capture trust (in the trust dimensions) is still a simplified version and a pre-step for a fully developed management tool or method. The use of a secondary data from a single case study also limits the validity and generalizability of the findings.

The extended meta-model proposed in this paper has several implications related to the organization's BPM capabilities. The result also demonstrates how trust measures related to reducing uncertainty, reducing vulnerability and increasing confidence can be applied in practice. Strategies used by the case company presented here such as rating systems to increase confidence can be used by other firms within a similar context.

Having an empirically validated framework for the management of trust, allows organizations to execute an operational model for the development of trusted engagement with the main benefactor being the customer.

Previous trust-related studies focused on conceptual ideas only, relied on fictive examples or were very much focused on the technical (security) aspects of business processes. This study is the first empirical validation of a trust meta-model that serves managers to understand their trust position and to guide trust-building actions.

For manufacturing enterprises, today's business environment is characterised by globally dispersed supply and manufacturing networks. In addition, the level of variety in products continues to increase in almost all sectors. Greater understanding of the management of product variety in international operations is required. Aims to discuss this issue.

A generic simulation model representing a multinational corporation (MNC) supply chain is used to investigate the impact on supply chain performance of increasing product variety in combination with supply lead‐time and demand uncertainty in an international setting. The simulation focuses on the upstream activities of production planning, inbound supply and manufacturing. The structure and logic of the simulation model are based on insights obtained from an empirical study of real MNC supply networks.

The study shows that increasing the level of product variety has a detrimental impact on supply chain performance. In the presence of supply lead‐time and demand uncertainty, high levels of variety result in much longer flow times and much higher system inventory relative to more stable conditions. The impact is greatest when variety involves critical materials which are required early in the production process and that entail long set‐up times.

The study could be extended to incorporate more advanced inventory control models, the inclusion of downstream activities, multiple manufacturing sites and multiple potential supply routes.

Implications for the selection of suppliers and for inventory control policies are discussed in the context of international operations. The potential value of postponement strategies and the need in some cases for fundamental product and process redesign to mitigate the negative impacts of variety are highlighted.

Managing product variety in the context of international operations has received very little attention to date in the research literature. This study quantifies the potential impact of increasing product variety on supply chain performance in an international setting.

Enterprise resource planning (ERP) implementation commonly fails to recognize the need to treat it as a business process automation that must be managed and monitored continuously. Moreover, many studies on business process management (BPM) assessment focus on snapshots of different areas of BPM and not on the different stages of the lifecycle. The purpose of this paper is to propose a model that combines the BPM lifecycle, program/project implementation framework, principles of good practice, maturity and critical practices to assess how companies implementing ERP apply different BPM practices, as well as which areas are lacking and why.

The relevant literature was examined to develop the model for the study. Case studies of three companies in Indonesia were then conducted. The state of BPM implementation in each case was assessed through interviews, document reviews and observations.

This study found that three leading companies in Indonesia, implementing ERP for more than five years, obtained high scores for BPM implementation. They perform well in terms of process identification, implementation, monitoring and control, but are weak in process discovery and re-design, mainly because they do not optimally use specific tools for process modeling and there is a lack of process governance. The studies also pinpoint potential linkages between competition intensity and the nature of the industry with the need for good BPM.

The model has only been tested in three cases in different industries and therefore the results, while providing good insights, cannot be generalized. More detailed assessment of certain BPM practices is needed. Furthermore, the assessment for each stage of BPM implementation was made at a single time, potentially yielding less detailed results than by assessing each stage of the BPM lifecycle.

The companies implementing ERP began with business process definition, but employ different process governance. The model developed here can be useful for leaders and teams to identify weak areas of practice within the stage of the BPM lifecycle; it can be used as an assessment tool for companies currently conducting BPM projects or programs including ERP implementation. It can also provide a roadmap for companies intending to conduct BPM programs.

Most of the BPM literature focuses on specific aspects. This study proposes a different perspective by providing a model to assess BPM implementation in each stage of its lifecycle and at the same time considers practical aspects of implementation, principles of good practice, maturity factors and critical practices.