Developing management capability within a horizontal supply chain in performance measurement deployment and evolution: a Dynamic Capabilities and Goal Theory perspective

Abstract

Complex collaboration in rapidly changing business environments create challenges for management capability in Utility Horizontal Supply Chains (UHSCs) involving the deploying and evolving of performance measures. The aim of the study is twofold. First, there is a need to explore how management capability can be developed and used to deploy and evolve Performance Measurement (PM), both across a UHSC and within its constituent organisations, drawing upon a theoretical nexus of Dynamic Capability (DC) theory and complementary Goal Theory. Second, to make a contribution to knowledge by empirically building theory using these constructs to show the management motivations and behaviours within PM-based DCs. The methodology uses an interpretive theory building, multiple case-based approach (n = 3) as part of a USHC. The data collection methods include, interviews (n = 54), focus groups (n = 10), document analysis and participant observation (reflective learning logs) over a five-year period giving longitudinal data. The empirical findings lead to the development of a conceptual framework showing that management capabilities in driving PM deployment and evolution can be represented as multilevel renewal and incremental Dynamic Capabilities, which can be further understood in terms of motivation and behaviour by Goal-Theoretic constructs. In addition, three interrelated cross-cutting themes of management capabilities in consensus building, goal setting and resource change were identified. These management capabilities require carefully planned development and nurturing within the UHSC.     

QoS in the internal supply chain: the next lever of competitive advantage and organisational performance

This article presents a research that examines the relationship of quality of service (QoS) and organisational performance in a manufacturing setting. There are few empirical studies that measure QoS in the manufacturing supply chain. A model linking QoS with organisational performance through intermediate variables of satisfaction, loyalty and competitive advantage is introduced and tested in the internal supply chain of three automotive organisations. The research design for this article includes a combination of literature review, exploratory interviews with scholars and practitioners, and a survey of 156 practitioners in three automotive companies in North India. Structural equation modelling has been used for data analysis. This research comes out with four factor scale for internal service quality and six-factor scale for external service quality. The research revealed that employee-driven QoS is a source of value addition that is positively linked with the organisational performance. This study would be of interest to manufacturing industry practitioners interested in internal and external service quality improvements. Future researchers could validate this scale, and empirically test the proposed model.     

Quantifying the effectiveness of VMI and integrated inventory management in a supply chain with uncertain lead-times and uncertain demands

This article considers the inventory management problem in a supply chain with uncertain replenishment lead-times and uncertain demands. The optimal integrated inventory management (IIM) policy is developed using stochastic dynamic programming theory. The IIM policy is contrasted with two pull-type vendor-managed inventory policies (VMI-1 and VMI-2) and a traditional retailer-managed inventory policy (RMI). Computational results show that in such stochastic supply chains, IIM performs about 23, 15, and 3% better than the optimised RMI, VMI-1 and VMI-2 policies, respectively, while two VMI policies are about 8 and 20% better than the best RMI. The basestock-based VMI-2 is a very good form of VMI. The ANOVA analysis reveals that the replenishment lead-times have the largest effect on the relative performance between IIM and other policies. Numerical examples demonstrated that the IIM policy has good structural properties and can be characterised by a set of switching curves.     

Technology selection in the absence of standardised materials and processes: a survey in the UK composite materials supply chain

Composite materials is an industry where technology selection has major consequences as there is not a standard manufacturing process, nor are there standardised materials with defined or proscribed properties for companies to select as multiple solutions are technically viable. This research aims to identify key factors for manufacturing technology selection in the UK composite materials supply chain. Literature review and managers’ opinions were used to identify 18 factors affecting manufacturing technology selection. This was followed by a survey comprising the multi-tier supply chain of the composite materials industry. The results of the survey show ‘on time deliveries/service level to customers’, ‘improve quality’ and ‘reduce cycle time’ received the highest average ratings. In this study a correlation analysis was performed to identify the underlying dependencies between the factors investigated. The identification and use of underlying dependencies rather than highest average provided a more comprehensive picture of the factors that affect technology selection in the composite materials industry. For this study, experts in composite materials were asked to comment on the findings of the survey and their value to the industry. The results presented may assist companies in the composite materials industry with technology selection decision-making processes.     

Measuring agri-food supply chain performance and risk through a new analytical framework: a case study of New Zealand dairy

Abstract

Many researchers and practitioners have long recognized the significance of measuring performance. Although general guidelines for measuring business performance are widely available, no appropriate measurement frameworks have been developed for measuring agri-food supply chain performance. Particularly, food quality and risk-related indicators have not been well integrated into existing performance measurement systems. Our research, therefore, addresses this knowledge gap by first providing an in-depth review of extant performance measurement systems and frameworks. It then develops an analytical framework by extending the Supply Chain Operations Reference (SCOR) model which has been extensively implemented across non-food industries. The analytical framework is further validated by utilizing a case study of 50 farmers and 10 dairy companies, operating in the New Zealand dairy industry.

Our pilot testing and subsequent findings show that the individual metrics interlocked with the analytical framework are in-line with the key industrial practices adapted by the New Zealand dairy industry. In addition, the framework is flexible and scalable to evaluate and benchmark other agri-food supply chains – ranging from fresh products such as fruits and vegetables to processed foods such as canned fruits. The findings further show that the detailed information required for measuring the level-3 SCOR metrics is not easily available in the industry, as researchers need to access specific company records that may be confidential. Consequently, this study provides how agri-food supply chain managers can employ our new analytical framework in-conjunction with the SCOR model for a deeper understanding of the complicated performance measurement indicators applied in their agri-food production systems and relevant supply chains.     

Critical success factors and green supply chain management proactivity: shedding light on the human aspects of this relationship based on cases from the Brazilian industry

Abstract

By applying the resources-based view (RBV) theory to green management, this study aims to analyse the relationship between critical success factors (CSFs) and the adoption of green supply chain management (GSCM) practices for some Brazil-based manufacturers of automotive batteries considered focal in their supply chains. It also analyses how human issues, known as green human resource management (GHRM) aspects, can help to increase the effectiveness of CSFs for GSCM strategies that are still not totally well-managed, justifying a RBV perspective. This research assumes that firms tend to be in different stages of GSCM development (more strategic or less strategic) and tests four research propositions to determine whether more proactive GSCM is related to higher levels of effectively managed CSFs. Three focal companies that operate in the Brazilian automotive battery industry were studied. Research results suggest that more proactive GSCM practices correlate to more effectively managed CSFs and to a greater support from GHRM. We argue that managers with a clear GHRM strategy will have more success in GSCM adoption, using more green training, green recruitment and selection, green performance evaluation and employee rewards.