- Air Quality and Health Impacts
- Atmospheric chemistry and aerosols
- Quality and Supply Management
- Vehicle emissions and performance
- Innovation and Knowledge Management
- Air Quality Monitoring and Forecasting
- Sustainable Supply Chain Management
- Business Strategy and Innovation
- Outsourcing and Supply Chain Management
- Product Development and Customization
- Supply Chain Resilience and Risk Management
- Service and Product Innovation
- Quality and Management Systems
- Environmental Sustainability in Business
- Intellectual Capital and Performance Analysis
- Customer Service Quality and Loyalty
- Big Data and Business Intelligence
- Atmospheric Ozone and Climate
- Collaboration in agile enterprises
- Operations Management Techniques
- Firm Innovation and Growth
- Water Governance and Infrastructure
- Fire dynamics and safety research
- Business Process Modeling and Analysis
- Global Trade and Competitiveness
University of Sussex
2021
Vrije Universiteit Amsterdam
2021
University of Southampton
2004-2020
Sonoma Technology (United States)
2010-2020
Environmental Protection Agency
2019
NexTalk (United States)
2015-2018
University of Exeter
2004-2016
Colorado State University
2002-2016
University of Surrey
2016
Network Rail
2009
The new version of EPA's positive matrix factorization (EPA PMF) software, 5.0, includes three error estimation (EE) methods for analyzing factor analytic solutions: classical bootstrap (BS), displacement elements (DISP), and enhanced by (BS-DISP). These capture the uncertainty PMF analyses due to random errors rotational ambiguity. To demonstrate utility EE methods, results are presented data sets: (1) speciated PM2.5 from a chemical speciation network (CSN) site in Sacramento, California...
Abstract. The EPA PMF (Environmental Protection Agency positive matrix factorization) version 5.0 and the underlying multilinear engine-executable ME-2 contain three methods for estimating uncertainty in factor analytic models: classical bootstrap (BS), displacement of elements (DISP), enhanced by (BS-DISP). goal these is to capture analyses due random errors rotational ambiguity. It shown that complement each other: depending on characteristics data set, one method may provide better...
Purpose The purpose of this paper is to explore how multinational corporations (MNCs) orchestrate internal and external resources help their multi-tier supply chains learn sustainability-related knowledge. Design/methodology/approach An exploratory multiple case study approach was adopted three MNCs’ sustainable initiatives in China were examined. data primarily collected through 43 semi-structured interviews with managers focal companies suppliers. Findings authors found that order...
This paper is based on longitudinal case studies of research into strategy formulation within six plants from large firms – three in the car industry and computer that have embarked mass customisation. The core theme this that, spite increasing attention given to manufacturing seminal work Skinner through plethora articles recent times, little mentioned about its application paradigms agility or As a consequence attempt become agile pursue customisation without appreciating contribution...
This paper examines the effect of relational factors on knowledge transfer within strategic buyer–supplier exchange. Prior research examining inter‐firm has focused almost exclusively horizontal forms governance such as alliances and joint ventures, whilst vertical forms, relationships, is limited. We test four important properties: cooperation, trust, relationship duration supplier performance. Quantitative data, gathered from 104 UK manufacturing firms in eight industry sectors, are used...
Purpose The purpose of this paper is to examine the relationships between supplier capabilities, supply chain collaboration and buyer responsiveness. Design/methodology/approach sample drawn from UK manufacturing firms across eight industry sectors. Data are analysed using a three‐step hierarchical regression model investigate main, interaction quadratic effects. Findings results indicate that suppliers' capabilities (flexibility, responsiveness modularity) directly impact but level...
Management literature has suggested that the advent of mass customisation marks end for trade‐offs between and other competitive priorities (Pine et al. 1993; Westbrook Williamson Tu 2001). However, evidence supporting this proposition is anecdotal. This paper examines impact product on four priorities, drawing upon results a recent survey 102 U.K. manufacturing firms from eight industry sectors. The study indicates significant compatibility quality, volume flexibility, delivery reliability...
abstract In this paper we make the case for strategic resonance in strategy making process within dynamic and highly volatile market conditions. We discuss how managers are faced with competing paradigms of resource‐driven versus market‐led approaches to but suggest that both have flaws may cause dissonance occur. Moreover, offer additional insights into why can occur firm. a key omission often lies neglect operations managers’ potentially important contributions mainstream process.
The purpose of this paper is to establish a framework for assessing the progress and outcome manufacturer's transformation towards becoming provider 'advanced services' – complex bundling products services, whereby manufacturers offer capabilities outcomes instead alone. 'Advanced represent most offering in current servitization trend amongst manufacturers. However, performance measures lack breadth focus assess or outcomes, so support research practice organisational efforts required. To...
Purpose The purpose of this paper is to investigate how operations strategy and Lean concepts can be applied within a healthcare organisation the degree which both are understood by senior-level National Health Service (NHS) personnel, based on process ongoing longitudinal cases studies. Further interviews data analysis will examine actual performance capabilities NHS. Design/methodology/approach For explanatory multiple-case study project authors collected through semi-structured with...
Purpose This article sheds light onto the increasing problem of product returns, which is exacerbated by growing e-commerce. Many retailers and academics are oblivious to nature scale this challenge. Interdisciplinary research needed develop supporting theory, cross-functional teams required implement measures addressing economic, ecological social sustainability issues. Design/methodology/approach The initial project adopted a multi-case study approach, whereby returns processes were...
Transportation projects must undergo a transportation conformity hot-spot analysis if they are designated as of local air quality concern (POAQC). We examined particulate matter 2.5 µm in aerodynamic diameter or smaller (PM2.5) concentrations measured 2017 from 48 near-road monitoring sites across the U.S. Annual average PM2.5 increments, difference between and background PM2.5, were 0.1 ± 0.2 µg/m3 2.0 for without noted confounding factor(s). The highest increment monitors 10 more meters...
The problem of manufacturing in the late twentieth century can be seen as latest version two long-standing puzzles to do with responding demanding internal and external environments. continuing search for solutions these leads investment innovation - via R&D, technology transfer, etc. But evidence suggests that key requirement is not solving puzzle one set circumstances but continually problems mutate. This places emphasis on organisational capability it what you know or buy how well learn...
Abstract Speciated fine particulate matter (PM2.5) data collected as part of the Speciation Trends Network at four sites in Midwest (Detroit, MI; Cincinnati, OH; Indianapolis, IN; and Northbrook, IL) Interagency Monitoring Protected Visual Environments program rural Bondville, IL, site were analyzed to understand sources contributing organic carbon (OC) PM2.5 mass. Positive matrix factorization (PMF) was applied available from January 2002 through March 2005, seven nine factors identified...
Low-cost sensors can provide insight on the spatio-temporal variability of air pollution, provided that sufficient efforts are made to ensure data quality. Here, 19 AirBeam particulate matter (PM) were deployed from December 2016 January 2017 determine spatial PM2.5 in Sacramento, California. Prior to, and after, study, collocated at a regulatory monitoring site. The demonstrated high degree precision during all measurement periods (Pearson R2 = 0.98 − 0.99 across sensors), with little...