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The author investigate the effect which the delivery performance of a company's suppliers have upon the company's own delivery assurance and reputation. Alternative methods of evaluating supplier delivery performance are studied. An analysis is made of the extent to which the suppliers' poor delivery performance was adversely affected by factors under the control of the company's own sales, design, production and purchasing departments in requesting unrealistic dates from suppliers.

The purpose of this paper is to generate a performance model for an order‐to‐delivery (OTD) process in delivery scheduling environments. It aims to do this with a triadic approach, encompassing a customer, a supplier and a logistics service provider.

The paper takes the form of a conceptual analysis and a triadic case study on performance measurement requirements in an OTD process characterized by delivery scheduling, and generating performance models.

Two OTD process performance models, one for the supplier's delivery sub‐process and one for the customer's delivery scheduling, the logistics service provider's transportation and the customer's good receipt sub‐process, in delivery scheduling environments are generated.

A single case study limits the levels of external validity and reliability to analytical generalization.

The generated performance models include definitions of four sub‐processes and outline ten performance dimensions that should be of relevance for several companies to apply.

This is the first approach that generates performance models for a triadic OTD process for use in delivery scheduling environments.

The purpose of this paper is to investigate the role of compensation‐based incentives in relationships between enterprise resource planning (ERP) usage and delivery performance in manufacturing.

The authors carry out two studies exploring links between ERP, incentives, and performance from alternative perspectives: first, of incentives tied to regular production activities, and their relationship with delivery performance advantage over competitors; second, of incentives tied to improvement activities and their relationship with delivery performance improvements. Statistical analysis is carried out on data from 698 metal‐working manufacturers from 22 countries, giving a broad cross‐sectional view of a global industry.

The studies indicate that ERP usage relates positively with both delivery advantage and delivery improvements. Furthermore, incentives tied to improvement initiatives may explain delivery improvements, both directly and as moderators in the relationship between ERP and performance.

The results suggest that ERP adoption can be framed as a principal‐agency phenomenon where performance outcomes are partially influenced by incentives.

The results imply that incentives tied to improvement initiatives may foster employee engagement with the new ERP, leading to stronger delivery performance benefits.

To the best of the authors' knowledge, this is the first research to explore ERP usage as a principal‐agency problem, and to analyse its relationships with incentives under alternative performance perspectives. The results may significantly contribute to the knowledge of ERP‐performance relationships and the role of incentives.

The purpose of this paper is to test the moderating effects of technological and demand uncertainties on the relationship between supply chain integration and customer delivery performance.

Based on a survey questionnaire with 151 participants in the Thai automotive industry supply chain, hierarchical regressions are used to test the moderating effects.

Internal and supplier integration, but not customer integration, were positively associated with customer delivery performance. Technological and demand uncertainties were found to moderate the relationships between internal integration and customer delivery performance, and supplier integration and customer delivery performance.

The moderating effects of technological and demand uncertainties in the Thai automotive just‐in‐time (JIT) environment are explained. This research contributes to the development of a contingency theory of supply chain integration suggesting that the impacts of supply chain integration on customer delivery performance vary under different levels of technological and demand uncertainties.

Managers recognize the diminishing effects of internal integration and supplier integration under demand uncertainty, and the increasing effect of supplier integration under high technological uncertainty.

This study contributes to the supply chain management literature by clarifying the moderating effects of technological and demand uncertainties on the relationship between supply chain integration and customer delivery performance.

Inefficiencies in public-private partnership (PPP) has been attributed to deficient and poor governance practices and structures. It has been recognized that a veritable way to achieve efficiency in PPP governance is through gaining an understanding of the theoretical, practical and contextual factors that underline governance practices in PPP project delivery. The purpose of this study is to explore the significant governance factors in PPP project performance and delivery.

Using a questionnaire survey on major players in PPPs in policy, research, consultancy and professionals, the study sought to delineate the significant governance factors that impact PPP project delivery performance.

A step-wise multiple regression analysis revealed effective communication and openness in sharing project information systems, competent, responsible and effective project leadership, trust-building processes, systems and practices, best practice organizational and team norms, team culture, cohesion practices, effective relationship management practices, robust policy diffusion and transfer processes, friendly business environment and government support and contractual and renegotiation flexibility as the key contractual and non-contractual governance factors that can predict about 79% level of PPP project delivery performance.

The findings offer support to improve PPP delivery in governance.

These findings are, thus, useful toward evolving regulatory quality governance mechanisms, flexible supervision and quality decisions that can enhance value for money in PPP projects in PPP project delivery.

The purpose of this paper is to study whether just in time (JIT) supply practices interact with JIT production practices by positively moderating the relationship between JIT production and efficiency/delivery performance.

In total, six hypotheses are developed on the relationships between JIT production, JIT supply, efficiency and delivery performance. The hypotheses are tested through a hierarchical regression analysis using data from a sample of 207 manufacturing plants.

JIT production practices positively affect both efficiency and delivery. JIT supply practices positively moderate the relationship between JIT production and delivery, while there is no significant moderating effect when considering the impact on efficiency. The role of JIT supply as moderator is twofold. On the one hand, it strengthens the positive impact of JIT production on delivery through a complementary effect. On the other hand, low levels of adoption of JIT supply practices can hinder and – for extremely low levels – cancel the impact of JIT production practices on delivery.

When efficiency is the priority, companies should direct their efforts on JIT production. However, when their aim is to maximize delivery, they should invest on both JIT production and JIT supply. Results found advise managers to implement some JIT supply practices during the early stages of JIT production programs, because the total absence of any JIT linkages with suppliers can limit JIT production benefits on delivery performance.

This study elaborates on the mutual influence between JIT production and JIT supply practices and demonstrates that they have a different weight and contribute to different aspects of performance improvement. This can help managers involved in JIT implementation to better allocate scarce resources.

Results have shown that the actual delivery performance of a company is often significantly worse than management's own assessment of its performance.

To explore the paths by which coordination investments with suppliers and customers relate to improvements in delivery speed, delivery reliability, and manufacturing lead‐time.

Regression analysis of data on supply chain coordination investment and delivery performance from 243 manufacturers from 13 countries.

Results provide evidence of direct relationships between supplier coordination investment and manufacturing lead‐time, and between customer coordination investment and delivery speed and delivery reliability. Moreover, they suggest that customer investment mediates the relationship between supplier investment and delivery reliability, and that supplier investment mediates the relationship between customer investment and manufacturing lead‐time.

To achieve sustainable improvements in multiple aspects of performance, management may need to invest in coordination with partners both upstream and downstream in the supply chain.

This appears to be the first study to provide evidence of both direct and mediated relationships between supplier and customer coordination investment, and delivery performance.

As just‐in‐time delivery has become increasingly commonplace and customer demands continue to tighten, the importance of fast, reliable delivery performance cannot be overstated. This is particularly true for organisations competing internationally, where the complexity of the supply chain must be managed within a global network. A conceptual model is presented that identifies three basic dimensions of this complexity. Results support the linkage of uncertainty with performance, however, no evidence was found that increased technological intricacy or more complicated organisational systems hamper delivery performance. Managers appear to have adopted mechanisms to accommodate these last two dimensions of complexity.

Original equipment manufacturers and other manufacturing companies rely on the delivery performance of their upstream suppliers to maintain a steady production process. However, supplier capacity uncertainty and delayed delivery often poses a major concern to manufacturers to carry out their production plan as per the desired schedules. The purpose of this paper is to develop a decision model that can improve the delivery performance of suppliers to minimise fluctuations in the supply quantity and the delivery time and thus maximising the performance of the supply chain.

The authors studied a single manufacturer – single supplier supply chain considering supplier uncertain capacity allocation and uncertain time of delivery. Mathematical models are developed to capture expected profit of manufacturer and supplier under this uncertain allocation and delivery behaviour of supplier. A reward–penalty mechanism is proposed to minimise delivery quantity and time of delivery fluctuations from the supplier. Further, an order-fulfilment heuristic based on delivery probability is developed to modify the order quantity which can maximise the probability of a successful deliveries from the supplier.

Analytical results reveal that the proposed reward–penalty mechanism improves the supplier delivery consistency. This consistent delivery performance helps the manufacturer to maintain a steady production schedule and high market share. Modified ordering schedule developed using proposed probability-based heuristic improves the success probability of delivery from the supplier.

Practitioners can benefit from the findings of this study to comprehend how contracts and ordering policy can improve the supplier delivery performance in a manufacturing supply chain.

This paper improves the supplier delivery performance considering both the uncertain capacity allocation and uncertain time of delivery.