Knowledge acquisition in supply chain partnerships: The role of power

This is the post-print version of the final paper published in International Journal of Production Economics. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2013 Elsevier B.V.Knowledge is recognised as an important source of competitive advantage and hence there has been increasing academic and practitioner interest in understanding and isolating the factors that contribute to effective knowledge transfer between supply chain actors. The literature identifies power as a salient contributor to the effective operation of a supply chain partnership. However, there is a paucity of empirical research examining how power among actors influences knowledge acquisition and in turn the performance of supply chain partners. The aim of this research is to address this gap by examining the relationship between power, knowledge acquisition and supply chain performance among the supply chain partners of a focal Chinese steel manufacturer. A structured survey was used to collect the necessary data. Two conceptually independent variables – ‘availability of alternatives’ and ‘restraint in the use of power’ – were used to assess actual and realised power, respectively. Controlling for contingencies, we found that the flow of knowledge increased when supply chain actors had limited alternatives and when the more powerful actor exercised restraint in the use of power. Moreover, we found a positive relationship between knowledge acquisition and supply chain performance. This paper enriches the literature by empirically extending our understanding of how power affects knowledge acquisition and performance

An empirical investigation of the channels that facilitate a total quality culture

It is generally agreed that the culture of an organisation is a function of its values, beliefs and behavioural practices and that the influence of culture on an organisation is powerful and pervasive. There is also broad agreement that total quality management (TQM ) is a management paradigm that propagates certain values, behaviour and working methods. Moreover, that the successful introduction and practice of a total quality management approach requires close attention to, and more often than not modification of, organisational culture. Yet, culture is somewhat intangible, and regardless of the precise cultural aspirations, in order to change or maintain the desired culture an organisation needs a set of facilitating channels. These are mechanisms or necessary conditions that influence, mould and help sustain a desirable cultural orientation. This paper examines the channels that facilitate the development of a total quality culture based on the findings of an investigation of an international sample of organisations widely regarded as leading exponents of TQM

Digital/web-based technologies and purchasing and supply management: A UK Study

The digital revolution on the web/internet is believed to be having a major impact on the performance of firms’ purchasing and supply functions. Beyond anecdotal evidence however, little is known about the actual level of utilisation of web-based interaction technologies in purchasing and supply management (P&SM). This paper addresses this gap through an empirical survey of 156 UK-based organisations. Findings indicate that only six in every ten organisations use digital/web-based technology (DWBT) in P&SM, and that the usage level is particularly low in SMEs. Current uses, and the importance of DWBT in P&SM in the future are reported. The paper also investigates the perceived benefits of DWBT in this area, and the link between uses, benefits and P&SM relationship orientation. The evidence suggests that at present DWBT is not a key driver of closer (collaborative) buyer-supplier relationship development. Implications are put forward

In search of the drivers of high growth in manufacturing SMEs

Though considerable attention in the extant literature has been devoted to growth and performance of firms, there is a dearth of research on high growth firms. Furthermore, the majority of literature in this area focuses on large firms while research on high growth small firms is underdeveloped. This paper investigates the drivers of high growth in manufacturing SMEs. Following a number of focus group interviews with six managing directors of manufacturing firms, a number of drivers of high growth were identified and investigated in a sample of 207 manufacturing SMEs. The results of this study indicate that high growth firms place a greater emphasis on external drivers such as strategic orientation, their operating environment and the use of e-commerce compared with firms having static or declining sales. The analysis shows that high growth firms compete largely on the basis of price. While high growth firms have increased their sales by over 30% during the past three years or longer, it is questionable if manufacturing firms can sustain their competitive advantage without recourse to greater research and development, and innovation in the longer term

TQM and CSR nexus

Purpose: The aim of this paper is to explore the similarities and differences between Total Quality Management (TQM) and Corporate Social Responsibility (CSR). Moreover, the paper considers the implications of these similarities and differences for the future development of TQM and CSR. Methodological approach: Structured discourse analysis is used to systematically explore these two discursive subjects. Both concepts encompass discursive ideas and practices. Findings: Our analyses suggest that the two concepts share similar philosophical roots, that there is a substantial overlap between the elements of the two concepts, and that the ultimate expected outcomes shows significant similarities. Despite these similarities however, implementation of TQM will not necessarily result in CSR. Practical implications: Our findings lead to the conclusion that it is important to recognise the specific needs of CSR and include them as an implicit part of TQM. This conclusion has an important practical and descriptive theoretical implication and the extent to which CSR is diffused as a part of TQM depends on it. Research implications: Our analysis highlights the need for the development of a descriptive theory, that is to say, the identification of the mechanism(s) through which elements of CSR could be developed and implemented alongside that of TQM. Original/value: The question of the intersection between CSR and TQM has attracted the interest of other researchers. The majority of the previous work is normative. We contribute to this developing literature by adopting a systematic discursive approach using philosophy, elements of TQM / CSR process and outcomes as the framework for the analysis

Combustion analysis of a CI engine performance using waste cooking biodiesel fuel with an artificial neural network aid

[Abstract]: A comprehensive combustion analysis has been conducted to evaluate the performance of a commercial DI engine, water cooled two cylinders, in-line, naturally aspirated, RD270 Ruggerini diesel engine using waste vegetable cooking oil as an alternative fuel. In order to compare the brake power and the torques values of the engine, it has been tested under same operating conditions with diesel fuel and waste cooking biodiesel fuel blends. The results were found to be very comparable. The properties of biodiesel produced from waste vegetable oil was measured based on ASTM standards. The total sulfur content of the produced biodiesel fuel was 18 ppm which is 28 times lesser than the existing diesel fuel sulfur content used in the diesel vehicles operating in Tehran city (500 ppm). The maximum power and torque produced using diesel fuel was 18.2 kW and 64.2 Nm at 3200 and 2400 rpm respectively. By adding 20% of waste vegetable oil methyl ester, it was noticed that the maximum power and torque increased by 2.7 and 2.9% respectively, also the concentration of the CO and HC emissions have significantly decreased when biodiesel was used. An artificial neural network (ANN) was developed based on the collected data of this work. Multi layer perceptron network (MLP) was used for nonlinear mapping between the input and the output parameters. Different activation functions and several rules were used to assess the percentage error between the desired and the predicted values. The results showed that the training algorithm of Back Propagation was sufficient enough in predicting the engine torque, specific fuel consumption and exhaust gas components for different engine speeds and different fuel blends ratios. It was found that the R2 (R: the coefficient of determination) values are 0.99994, 1, 1 and 0.99998 for the engine torque, specific fuel consumption,CO and HC emissions, respectively

TQM implementation: An empirical examination and proposed generic model

Total quality management (TQM) is considered by many as an important quality and business performance improvement tool. The popularity of the concept has led to an explosion of TQM related literature. A careful review of the literature suggests that most publications recount the experiences or perceptions of the authors or deal with single case organisations. Furthermore, there is a dearth of empirical research and literature dealing with TQM's implementation process. This paper reports the findings of a research project that empirically examined the process of TQM implementation in a sample of organisations widely regarded as leading exponents of TQM. The paper presents a non-prescriptive model of the TQM implementation process derived from the findings and proposes an "outcome driven" approach as an alternative to the more commonplace TQM implementation strategies

Solar Thermal Power Plants: Progress and Prospects in Iran

AbstractOne of the most promising paths towards the sustainable development is utilizing solar energy, especially in oil-dependent economy nations like Iran. Electricity production in Iran is mainly dominated by its fossil fuel resources. High solar insolation and available desert lands in Iran are two main factors to encourage the full development of solar power plants for thermal and electrical energy productions. Herein, the solar thermal power plants have the priorities of consistent power output and the ability to incorporate storage. In the present study, a brief description and working principles of the solar thermal power plants are given. Besides, the paper points out the solar energy potential, the current state of electricity generation and the future of solar thermal power projects in the country. Special attention is drawn to the Iranian government initiatives and support for the use of solar energy. In the end, the future prospects of solar projects development with the worldwide competitive technologies by considering the existing obstacles that should be removed by the Iranian governments and energy planners in the future of energy production are presented

The effect of downstream curved edge on local scouring at 60 degree open channel junction using SSIIM1 model

AbstractDespite a large amount of research carried out on flow patterns in river confluences, only a few researches have focused on sediment transport. This research used 3D program (SSIIM 1) for calculating of local scouring and sedimentation at a 60 degree channel confluence. The model was tested by comparing with flow and sediment results of physical model. The results showed that the ability of model is relatively good to predict flow structure and position of the erosion and sedimentation pattern. The model was then applied to investigate the effect of downstream edge curvature with non-dimensional radius (r/w; r=radius of curvature, w=width of tributary channel) 0.25, 0.5, 0.75 and 1 with discharge ratio 0.5 and 0.66 on local scouring. The results showed that the reduction of scouring depth and sedimentation bar height for r/w=1 comparing with sharp edge junction for discharge ratio 0.5 were 51% and 41% and for discharge ratio 0.66 were 28% and 19%

Investigation of Fossil Fuel and Liquid Biofuel Blend Properties Using Artificial Neural Network

Gasoline fuel is the baseline fuel in this research, to which bioethanol, biodiesel and diesel are additives. The fuel blends were prepared based on different volumes and following which, ASTM (American Society for Testing and Materials) test methods analysed some of the important properties of the blends, such as: density, dynamic viscosity, kinematic viscosity and water and sediment. Experimental data were analysed by means of Matlab software. The results obtained from artificial neural network analysis of the data showed that the network with feed forward back propagation of the Levenberg-Marquardt train LM function with 10 neurons in the hidden layer was the best for predicting the parameters, including: Water and sediment (W), dynamic viscosity (DV), kinematic viscosity (KV) and density (De). The experimental data had a good correlation with ANN-predicted values according to 0.96448 for regression