Management and Marketing - Research Publications
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ItemNo Preview AvailableModerating influence of the business environment on suppliers’ contractual embeddedness and sales probability: complex adaptive system view(Virtual Observatory for the Study of Online Networks, 2018)Businesses that are unable to withstand the market domination and product surpluses increasingly use internet enabled alternative distribution channels. These online platforms lead to coexistence and simultaneous coevolution of both the open contractual and the real supply networks that emerged in a single complex adaptive system (CAS). The existing mere CAS applications to the supply networks are not adequate to understand how these two network evolutions vary by the business environmental conditions such as dynamism, munificence and complexity. Therefore, in light of CAS theory, social network analysis (SNA) technique and the business environment literature, this paper proposes a conceptual model to recognise how a supplier’s contractual embeddedness determines its sales probability in the supply network while adapting the business environment. With the support of panel logit regression model, the empirical data from the Australian based Open Food Network from 2012 to 2016 validate the positive associations between a supplier’s contractual embeddedness as informed by degree and closeness centralities and the sales probability in supply network. Both dynamic and complex environments improve the positive association between a supplier’s degree centrality and the sales probability. Though munificence increases the positive association between a supplier’s closeness centrality and the sales probability, dynamism lowers this relationship. This paper first extends the CAS theory with significant system level interactions and secondly develops network diagrams using SNA to illustrate the local optimisation behaviour of network clusters and their evolutions into different network patterns such as scale free, block diagonal and centralised connected through structural holes. Third, this is the first longitudinal study to analyse how a supplier’s contractual embeddedness contributes to its sales probability in the real supply network subjecting to environmental conditions.
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ItemSupplier and customer knowledge leveraging and financial performance nexus: moderating effects of the internal manufacturing environment(European Academy of Management Annual Conference, 2018)Exponentially growing knowledge and technology create dynamic but different expectations for customer and supplier leveraging practices in both knowledge exploitation and exploration. Although manufacturers equally adopt the imitable knowledge leveraging practices in both demand and supply side, they may generate varying financial performances subjecting to the internal conditions of the manufacturing environment such as dynamism, munificence and complexity. We invoke the Practice Based View and Knowledge Based View that grown out of Resource Based Theory to explore how the manufacturing environmental features moderate the associations between the supplier and customer knowledge leveraging practices and the financial performance. Empirical data from 513 plants across 9 countries and 21 industries validates that the positive association between supplier knowledge leveraging and financial performance increases at higher levels of environmental features. Also, the customer knowledge leveraging is positively associated with the financial performance and it lowers only at the higher levels of munificence.
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ItemThe interactive effect of task business environment and supply chain relationship on manufacturing plant's operational sustainability: synergies or antagonies?(15th ANZAM Operations, Supply Chain and Service Management Symposium, 2017)The recent global “Great Recession” showed that many manufacturing plants that appeared to be operationally sustainable were not able to withstand the forces in their task environments and supply chains. In this study, we invoke the complex adaptive system (CAS) theory to assess the interactive effects of these two constructs on operational sustainability. We show that empirical data from 522 plants across 9 countries and 21 industries validates both the positive and negative synergistic or antagonistic interactions among the features of task business environment (dynamisms, munificence and complexity) and supply chain relationship (information exchange, supplier and customer leveraging and complexity).
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ItemExtended Abstract: Suppliers’ operational sustainability within the global supply network in automobile industry: a complex adaptive system view(15th ANZAM Operations, Supply Chain and Services Management Symposium, 2017)The collapse of the Australian automobile manufacturing industry shows that even the global giants such as Toyota, Ford and General Motors could not escape from the interactive effects of the global supply network with its task business environment. Hence, we invoke the complex adaptive system theory (CAS) to explore how these interactions influence the suppliers’ operational sustainability within the global supply network. Bloomberg data from Toyota’s 284 immediate suppliers validates that the interactive effects are either synergistic or antagonistic on their operational sustainability.
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ItemCoordinated pricing analysis with the carbon tax scheme in a supply chain(Wiley, 2018-10)The carbon tax is a cost-efficient scheme to curb emissions, and it has been implemented in Australia, British Columbia, and other places worldwide. We aim to analyze its effect on dynamic pricing in a supply chain with multiple suppliers and one manufacturer. The profit-maximizing manufacturer makes final products using raw materials from suppliers with heterogeneous prices and emission rates. A two-stage game model is built over an infinite time horizon for this issue. In the first stage, suppliers face price-dependent demand to set their prices and production rates under the constraint of inventory capacity. Then, in response to the carbon tax scheme, the manufacturer evaluates the procurement prices and emission rates of suppliers to control its emission volumes and sets the sales price of its product. This paper predominately focuses on the optimal pricing strategies in a decentralized supply chain. The open-loop equilibrium and Markovian Nash equilibrium for the dynamic pricing game models of both suppliers and the manufacturer are derived, respectively. The equilibrium prices of suppliers and the manufacturer can be solved based on both irreversible actions and real-time states. These two types of equilibria can be regarded as the solutions of two different models in specific situations. To analyze the effect of sourcing diversity on pricing strategies and emissions control for the manufacturer, the more general equilibrium price for the manufacturer in an n-suppliers oligopoly is studied. Numerical examples are presented to illustrate the equilibrium and its monotonicity with various parameter settings.
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ItemDesign and application of Internet of Things based Warehouse Management System for Smart Logistics(Taylor & Francis, 2018)Warehouse operations need to change due to the increasing complexity and variety of customer orders. The demand for real-time data and contextual information is requried because of the highly customised orders, which tend to be of small batch size but with high variety. Since the orders frequently change according to customer requirements, the synchronisation of purchase orders to support production to ensure on-time order fulfilment is of high importance. However, the inefficient and inaccurate order picking process has adverse effects on the order fulfilment. The objective of this paper is to propose an Internet of things (IoT)-based warehouse management system with an advanced data analytical approach using computational intelligence techniques to enable smart logistics for Industry 4.0. Based on the data collected from a case company, the proposed IoT-based WMS shows that the warehouse productivity, picking accuracy and efficiency can be improved and it is robust to order variability.
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ItemModels for supplier selection and risk mitigation: A holistic approach(Taylor & Francis, 2018)According to a study conducted by PwC and the Business Continuity Institute in 2013, 75% of companies experience at least one major supply chain disruption a year and majority of the disruptions were caused by supply-related problems. With an increasing emphasis on upstream risk, risk management in supplier selection has become a critical issue faced by companies. Although previous studies proposed different methods and tools for effective and efficient supplier selection, only few approaches have attempted to incorporate risk mitigation strategies in supplier selection decisions. Our study aims to fill this gap by considering a wide range of quantitative and qualitative risk factors in supplier selection and evaluates the efficacy of alternative risk mitigation strategies in this context. Moreover, we suggest that both upstream and downstream strategies should be utilised simultaneously rather than relying on a single type of strategy. We further suggest that it is critical to align upstream and downstream risk mitigation strategies to reduce risk. We employ multi-objective optimization-based simulation in developing a decision model and consider data from an automotive parts manufacturer to demonstrate the application of our approach.
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ItemThe state-of-the-art integrations and applications of the analytic hierarchy process(Elsevier, 2018)Because of its great flexibility and wide applicability, integrated analytic hierarchy process (AHP) approaches have been studied extensively for the last 20 years. This paper, as a follow-up study to Ho (2008), reviews the literature on the integrated AHP approaches and applications published between 2007 and 2016 and compares those studies with papers published during the previous decade, i.e., 1997-2006. Based on the 88 journal articles, five questions can be answered: (1) which type of integrated AHP approaches was paid most attention to? (2) Which application areas were integrated AHP approaches primarily applied to? (3) Which specific problems were integrated AHP approaches most commonly applied to? (4) What is the trend in publications regarding integrated AHP approaches? and (5) Which international journals were integrated AHP approaches most widely published in? Finally, some new applications of new AHP integrations are proposed to assist scholars in filling the literature research gaps.
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ItemContract Design with Information Asymmetry in a Supply Chain under an Emissions Trading Mechanism(WILEY, 2018-02)ABSTRACT We aim to design an appropriate sourcing mechanism with information asymmetry in a supply chain with one manufacturer and multiple suppliers subject to an emissions trading scheme. The manufacturer purchases raw materials from suppliers, who hold private information regarding the green degree—that is, the unit emission rates—of their raw materials. An appropriate strategy must be adopted by the manufacturer for the contract design, including a series of payments and the order quantities; the suppliers are subsequently invited to bid for the contracts. The basic model is formulated to assist the manufacturer in designing a reasonable contract for a single supplier. The characteristics of the optimal order quantity and payoff functions of both the manufacturer and supplier are analyzed. A competitive procurement scenario with multiple suppliers is also discussed. With respect to the diversity of auctions, three different auction types are analyzed, including a green degree auction, a price auction with emissions targets, and a performance‐based auction. In addition, an efficient emissions trading policy is established to guide manufacturers regarding how to balance their emission allowances based on the optimal order quantities. Our approach provides an effective decision support system for both the manufacturer and suppliers.
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ItemReliable Supply Chain Network Design(Wiley Blackwell, 2016)Decision Sciences Institute.Risk management in supply chains has been receiving increased attention in the past few years. In this article, we present formulations for the strategic supply chain network design problem with dual objectives, which usually conflict with each other: minimizing cost and maximizing reliability. Quantifying the total reliability of a network design is not as straightforward as total cost calculation. We use reliability indices and develop analytical formulations that model the impact of upstream supply chain on individual entities' reliability to quantify the total reliability of a network. The resulting multiobjective nonlinear model is solved using a novel hybrid algorithm that utilizes a genetic algorithm for network design and linear programming for network flow optimization. We demonstrate the application of our approach through illustrative examples in establishing tradeoffs between cost and reliability in network design and present managerial implications.