Search results

This paper aims to create a mapping of competitive advantage of nations (CAN) from research using some previous studies and recommend future research.

This paper applies a systematic literature review on the most recent studies of CAN. The research gap is analysed based on several categories: implication (strategy and policy, portrait); general characteristics (fundamental issues, indicators and patterns); solution methodology and strategic level (nation and industry). Then, the state-of-the-art analysis is used to develop future research.

The results of this study recommend future research of CAN based on the following CAN categories: implication (strategy and policy, portrait); general characteristics (fundamental issues, indicators and patterns); solution methodology and strategic level (nation and industry).

This literature review has important implications and gives direction for research and teaching, as well as for further investigation of CAN. The limitation lies in the classification of patterns, which requires further study to avoid the ambiguity of grouping.

This is the first literature review about CAN using categories. It is of value in building future research of CAN in different industries and nations.

Logistics systems used in companies that perform multiple roles are expected to be able to manage conflicting objectives. Nevertheless, the literature suggests that many existing logistics performance measurement system (PMS) frameworks are not optimized to provide mechanisms to reveal dynamic relationships between conflicting performance indicators. The purpose of this paper is to develop a new logistics PMS by linking the system dynamics model with a set of balanced performance indicators.

The logistics PMS is developed through a literature review and case study of a company that plays multiple roles. The interrelationships between logistics factors and their links to end results are modeled in diagrams through in-depth interviews with stakeholders. The developed model is then used to build a simulation tool to analyze factors that cause poor performance.

The new logistics PMS developed by incorporating system dynamics offers decision makers ways to identify dynamic relationships among factors and conflicting indicators, in turn helping them to understand holistic logistics performance, objectively analyze why logistics systems perform in a certain way and foster a common shared view.

Stakeholders of companies that play multiple roles can use the new PMS model to comprehensively evaluate the performance of logistics systems. In addition, the increased visibility of logistics systems may support decision-making while preventing local optimization.

A logistical PMS based on the system dynamics model for managing logistics systems in companies performing multiple roles has not yet been identified. This paper fills this theoretical gap and contributes to the academic literature by proposing a novel PMS model based on the system dynamics model to address the limitations of existing PMS frameworks.

Companies with multiple roles, as both a profit generator and public service provider, have specific characteristics that differentiate them from single-role companies. However, literature suggests that no performance measurement framework exists to fully suit the characteristics of such companies. This study aims to develop a novel performance-measuring framework to manage logistics performance in multiple-role companies.

The framework is developed by combining a literature review and a case study approach as applied to a company with multiple roles. The case study is conducted to identify the characteristics of multiple-role companies, the factors that potentially affect such companies’ logistics performance and criteria for a new framework. The literature review identifies the concepts, performance attributes and indicators from existing frameworks with the potential for incorporation and synthesis in the new framework.

This study identified several characteristics, performance drivers and criteria for a logistics performance-measuring framework for multiple-role companies. Additionally, this study successfully developed a new logistics performance-measuring framework that consists of eight performance management stages and an aggregated index to measure overall logistics performance.

The proposed logistics performance-measuring methodology provides useful guidance for stakeholders of multiple-role companies to plan, organize, execute and evaluate logistics performance.

This research fills a theoretical gap by explaining the characteristics of logistics systems in multiple-role companies, as well as the factors that may affect such companies’ logistics performance. Further, the proposed framework contributes to academia by integrating performance attributes from several available frameworks to manage objective conflicts, dynamism issues and the inconsistent performance evaluations that exist in companies with multiple roles.

Transport logistics systems in companies with additional public service roles are complex and could benefit from new approaches to performance management. Existing approaches tend to be fragmented; thus, the purpose of this paper is to integrate balanced performance measures, a dynamics model, and the problem-solving method into a new model.

An integrated framework is developed by reviewing literature and synthesising attributes of performance measurement systems, system dynamics and problem-solving methods. The framework is then applied to a multiple-role company’s sea transportation system. The study uses statistical methods to identify performance indicators, management interviews with document study to develop a dynamics model, and simulation methods to formulate an improvement plan.

The performance measurement design stage allowed for the identification of balanced, aligned performance indicators, while the system dynamics model illuminated the impact of the system components’ interrelationships on performance output. The problem-solving method allowed for analysis of system performance, identification of constraints and formulation of a performance improvement plan.

This framework can help transport logistics system stakeholders in multiple-role companies avoid silo thinking, misaligned performance objectives, local optima and short-term solutions.

This study contributes to the existing body of research by introducing a novel framework integrating performance measurement, system dynamics and the problem-solving method. It also addresses a theoretical gap by showing how interconnecting components of sea transportation systems affect transport logistics performance.

This research aims to examine the smelter industry’s investment competitiveness in Indonesia as well as to find solutions to improve its competitive advantage for the nation.

This research applies a sequential mixed-methods approach with a second quantitative phase building on an initial first qualitative phase. The qualitative phase is conducted by interviews to find the root causes of problems as well as solutions to gain smelter industries’ competitiveness. The quantitative phase is conducted by a system dynamics model. A descriptive causal loop diagram is created based on interviews and focus group discussions to describe the problems. The concept of competitive advantage of a nation from Porter’s diamond model is applied in this research.

The results reveal the complexity of smelter industries in Indonesia. The paper also addresses the causes of problems and interaction of variables using a causal loop diagram. To gain the smelter industry’s competitiveness, this paper suggests the potential policy development to increase competitiveness of the smelter industry such as policy for different fiscal incentives to each different mineral, effective export duty and exploration obligation.

The result of this study provides a good basis for government in making policy to improve the competitive advantage of the smelter industry investment in Indonesia.

This is the first research on smelter industry competitiveness that applies Porter’s diamond model and system dynamics model to find solutions in designing appropriate policy to gain competitiveness.

This paper aims to design a hybrid model of knowledge-based performance management system (KBPMS) for facilitating Lean Six-Sigma (L6s) application to increase contractor productivity without compromising human safety in Indonesian upstream oil field operations that manage ageing and life extension (ALE) facilities.

The research design applies a pragmatic paradigm by employing action research strategy with qualitative-quantitative methodology involving 385 of 1,533 workers. The KBPMS-L6s conceptual framework is developed and enriched with the Analytical Hierarchy Process (AHP) to prioritize fit-for-purpose Key Performance Indicators. The application of L6s with Human Performance Modes analysis is used to provide a statistical baseline approach for pre-assessment of the contractor’s organizational capabilities. A comprehensive literature review is given for the main pillars of the contextual framework.

The KBPMS-L6s concept has given an improved hierarchy for strategic and operational levels to achieve a performance benchmark to manage ALE facilities in Indonesian upstream oil field operations. To increase quality management practices in managing ALE facilities, the L6s application requires an assessment of the organizational capability of contractors and an analysis of Human Performance Modes (HPM) to identify levels of construction workers’ productivity based on human competency and safety awareness that have never been done in this field.

The action research will only focus on the contractors’ productivity and safety performances that are managed by infrastructure maintenance programs for managing integrity of ALE facilities in Indonesian upstream of oil field operations. Future research could go toward validating this approach in other sectors.

This paper discusses the implications of developing the hybrid KBPMS- L6s enriched with AHP methodology and the application of HPM analysis to achieve a 14% reduction in inefficient working time, a 28% reduction in supervision costs, a 15% reduction in schedule completion delays, and a 78% reduction in safety incident rates of Total Recordable Incident Rate (TRIR), Days Away Restricted or Job Transfer (DART) and Motor Vehicle Crash (MVC), as evidence of achieving fit-for-purpose KPIs with safer, better, faster, and at lower costs.

This paper does not discuss social implications

This paper successfully demonstrates a novel use of Knowledge-Based system with the integration AHP and HPM analysis to develop a hybrid KBPMS-L6s concept that successfully increases contractor productivity without compromising human safety performance while implementing ALE facility infrastructure maintenance program in upstream oil field operations.

This study aims to fill the gap in collaboration culture improvement by designing an information-sharing system as an enabler to support the forming dimensions of the collaboration process in previous studies. The authors propose the appropriate system to eliminate the collaboration culture gaps between the related functional units based on in-process interaction learning in a business process outsourcing company.

This study employed action research (AR) based on soft systems methodology (SSM) with a system thinking approach, in which the authors and process actors design the agreed information-sharing system by involving the process actors in identifying the initial problem situation as well as validating the conceptual model through discussions and designing the expected system.

This study discovers that SSM-based AR is a suited method for designing a system that supports the formation of collaboration culture among actors in the digital service creation process by learning user perceptions and expectations in order to obtain their commitment to empower the proposed system.

In addition to providing a system to minimize the lack of collaboration culture, this study contributes to the academic literature by offering a new way of planning and designing in a system development methodology using soft systems approaches to understand user perceptions, expressing user interaction in a conceptual model and validating it and defining agreed activities to obtain the best design according to user expectations.

This paper aims to present a hybrid knowledge based (KB) – analytic hierarchy process (AHP) – gauging absence of pre‐requisite (GAP) analysis of performance measurement system (PMS) expert system (ES) model.

The KBPMS has been developed using the rule base approach of ESs. Full details are given for the customer perspective (CP). The KBPMS considers five levels of company performance: business perspective, CP, manufacturing competitive priorities perspective, internal process perspective and resource and method availability perspective. CP model of the KBPMS system, and thereafter the complete model is summarised for the different modules. Embedded within the KB is the ability to benchmark the PMS existing in a company to assist in the improvement process.

The validation of the hybrid KBPMS was confirmed through three real applications in the manufacturing industry sector: aircraft component manufacturing, electronics manufacturing and telecommunication products manufacturing. The results of the validation exercise indicate that the present hybrid KBPMS model is a suitable decision‐making tool to assist the practitioners of PMS and provides consistent and detailed prioritised results for actions and improvements.

Future research work could consider a larger sample size and cover a wider range of industry types, including services industry.

This paper presents an original and novel approach (KB/ES coupled with AHP and gap analysis) to designing and benchmarking PMS in a manufacturing environment.