Leadership and Management
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Item Open Access Commodity prices(Cranfield University, 2021-04-19 08:46) Alexiou, ConstantinosData on commodity prices and returnsItem Open Access Commodity Prices-Interest rates(Cranfield University, 2022-06-07 08:58) Alexiou, ConstantinosData set of commodity prices and interest ratesItem Open Access Data supporting the publication 'Product-service systems and circular supply chain practices in UK SMEs: The moderating effect of internal environmental orientation'(Cranfield University, 2022-04-19 16:54) Kuhl, Carl; Bourlakis, Michael; Aktas, Emel; Skipworth, HeatherData file 1. PSSandCSCinUK_JBR.csv Data are available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0). Many studies uphold product-service systems (PSSs) as key factors for the implementation of circular supply chain (CSC) practices. This paper explores this assumption by testing the links between product-, use- and result-oriented PSSs and slowing, closing, and narrowing CSC practices. It develops and validates survey items that can be used to benchmark CSC practice implementation. In addition, it tests a model that recognises the positive moderating role of internal environmental orientation. A survey is conducted with 114 manufacturing small and medium-sized enterprises (SMEs) in the United Kingdom (UK). Partial least squares structural equation modelling is conducted to evaluate two models. The results show that product-oriented PSSs positively affect the slowing, use-oriented positively affects the closing, and result-oriented positively affects the slowing and the narrowing of resource loops. Internal environmental orientation does not moderate the PSS – CSC relationship, suggesting that less internally environmentally oriented firms are not at a disadvantage.Item Open Access Data underpinning "Green scheduling of a two-machine flowshop: Trade-off between makespan and energy consumption"(Cranfield University, 2017-04-24 09:39) Aktas, Emel; Mansouri, AfshinSustainability considerations in manufacturing scheduling, which is traditionally influenced by service oriented performance metrics, have rarely been adopted in the literature. This paper aims to address this gap by incorporating energy consumption as an explicit criterion in shop floor scheduling. Leveraging the variable speed of machining operations leading to different energy consumption levels, we explore the potential for energy saving in manufacturing. We analyze the trade-off between minimizing makespan, a measure of service level and total energy consumption, an indicator for environmental sustainability of a two-machine sequence dependent permutation flowshop. We develop a mixed integer linear multi-objective optimization model to find the Pareto frontier comprised of makespan and total energy consumption. To cope with combinatorial complexity, we also develop a constructive heuristic for fast trade-off analysis between makespan and energy consumption. We define lower bounds for the two objectives under some non-restrictive conditions and compare the performance of the constructive heuristic with CPLEX through design of experiments. The lower bounds that we develop are valid under realistic assumptions since they are conditional on speed factors. The Pareto frontier includes solutions ranging from expedited, energy intensive schedules to prolonged, energy efficient schedules. It can serve as a visual aid for production and sales planners to consider energy consumption explicitly in making quick decisions while negotiating with customers on due dates. We provide managerial insights by analyzing the areas along the Pareto frontier where energy saving can be justified at the expense of reduced service level and vice versa.Item Open Access Gender parity report (video)(Cranfield University, 2016-07-21 08:38) Kelan, ElisabethVideo presentation outlining a research project into how men as middle managers can engage in gender inclusive leadership.Item Open Access OFDI China(Cranfield University, 2019-07-31 15:04) Alexiou, ConstantinosData set comprising determinants of Chinese Outward Direct InvestmentItem Open Access Speculative activity, monetary policy and commodity prices(Cranfield University, 2019-06-19 09:12) Yao,Wei; Alexiou,ConstantinosThe dataset consists of key macroeconomic indicators sourced from the OECD and the FRED. Data on the thirteen commodities, which are classified as energy commodities (crude oil and heating oil), precious metal commodities (gold, silver, platinum, palladium and copper), agricultural commodities (wheat, sugar, soybeans, coffee and cocoa) or textile commodities (cotton) are not included in these dataset as they are not publicly available and restrictions apply. All data are monthly and span the period 1986:1 to 2018:7.