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The aim of this paper is to present a purchasing portfolio model for determining purchasing strategy at the component level of a product to support business strategy, addressing weaknesses in the often cited Kraljic‐type models. The work draws on Fisher's model to match supply strategy to product nature. However, Fisher's model was criticised very recently by Lo and Power in this journal because it is unclear how the “leagile” option should fit into it. This paper addresses this issue.

The new portfolio model is based on the literature, particularly Fisher's seminal work. It is then applied to two case studies; an electric boiler manufacturer and an elevator manufacturer, both in South Korea. The analytic hierarchy process (AHP) is used to position purchased components in the model.

Different purchasing strategies should be assigned to different components according to their impact on the competitive priorities. As the electric boiler is a functional product, while the elevator is an innovative product, the case studies show how this can vary across the two product‐types identified by Fisher.

The new model has been tested on only two case studies, which limits the ability to generalise the findings. Future work will use the lean and agile purchasing portfolio model in research and knowledge exchange activities with other industrial partners to further develop and test its efficacy.

The new model captures the finding of Fisher and others that products should be classified as functional or innovation to determine their suitability for lean or agile supply respectively. However, this classification is extended here to the component level and with the addition of the leagile and non‐strategic supply options, and it depends on the impact a component has on the four competitive priorities; cost, quality, time and flexibility.

This paper is the sequel to the authors' earlier paper in this journal and aims to present the “future research” outlined in that paper.

The approaches being employed by Welsh local authorities in commissioning home care from the independent sector are surveyed to see how a mixed economy of care is being implemented. The observed differences are analysed to see what can be learnt for the benefit of public sector managers concerned with the development of commissioning practices. Semi‐structured interviews have been performed with home care managers and commissioning officers in 13 (60 per cent) of the local, unitary authorities in Wales. Managers at independent home care providers have been interviewed also. The study has been ongoing since September 2004. For comparison, Barnet in England has been included because, unlike any Welsh authority, it has implemented 100 per cent outsourcing of home care. Croydon has been included as it has a good practice brokerage that has helped it to expand its provision from the independent sector.

Great diversity is seen in the approaches adopted by the Welsh local authorities when commissioning home care from the independent sector. They differ in the proportion of home care that is commissioned from the independent sector, what is commissioned, the number of independent providers and the contractual arrangements. These features are used to develop a taxonomy of home care strategies that reveals high levels of diversity. It is seen that in Wales there has been less political drive and compulsion to outsource home care than in England, but the natural desire to reduce costs in the face of a growing need for home care is now driving outsourcing in Wales.

This paper provides guidance to public sector managers in local authorities seeking best practice in the commissioning of home care from the independent sector.

The existing literature contains little research into good practice in the commissioning of home care by local authorities from the independent sector. This paper is a timely contribution to addressing this shortfall.

The purpose of this paper is to quantify the effect of design parameters on the bullwhip effect and dynamic responses produced by a multi‐echelon supply chain with information sharing.

Taguchi design of experiments and system dynamics simulation are used to quantify the impact of a supply chain's design parameters, including degree of information sharing, on its dynamic performance, and the interactions that occur as the parameter values are varied.

Quantified relationships between supply chain design parameters and dynamic performance, including the bullwhip effect, are presented. Two parameters in particular, time to adjust inventory error and production lead time, are shown to have a particularly strong impact on the order variance compared to other parameters. However, there are several other significant findings.

Batching and capacity constraints are common causes of the bullwhip effect, but they are not included here. Future work should quantify the impact of these.

This paper presents a systematic way for quantifying and understanding the impact of supply chain design parameters on the bullwhip effect and dynamic responses, and their interactions. The experimental results provide practical understanding for supply chain managers.

Previous studies have identified causes of the bullwhip effect but little attention has been given to quantifying their impact and interactions. This paper makes a contribution towards filling this gap, using system dynamics simulation and Taguchi design of experiments.

The purpose of this paper is to examine the relationship among environmental pollution, economic growth and energy consumption per capita in the case of Pakistan. The per capital carbon dioxide (CO₂) emission is used as the environmental indicator, the commercial energy use per capita as the energy consumption indicator, and the per capita gross domestic product (GDP) as the economic indicator.

The investigation is made on the basis of the environmental Kuznets curve (EKC), using time series data from 1971 to 2006, by applying different econometric tools like ADF Unit Root Johansen Co‐integration VECM and Granger causality tests.

The Granger causality test shows that there is a long term relationship between these three indicators, with bidirectional causality between per capita CO₂ emission and per capita energy consumption. A monotonically increasing curve between GDP and CO₂ emission has been found for the sample period, rejecting the EKC relationship, implying that as per capita GDP increases a linear increase will be observed in per capita CO₂ emission.

Future research should replace the economic growth variable, i.e. GDP by industrial growth variable because industrial sector is major contributor of pollution by emitting CO₂.

The empirical findings will help the policy makers of Pakistan in understanding the severity of the CO₂ emissions issue and in developing new standards and monitoring networks for reducing CO₂ emissions.

Energy consumption is the major cause of environmental pollution in Pakistan but no substantial work has been done in this regard with reference to Pakistan.

This paper aims to help public sector managers that are formulating strategies for outsourcing home care from the independent sector.

A review was performed of relevant literature on the outsourcing of home care and its political drivers in the UK. This indicates that the future of home care services, taking into consideration outsourcing and how Best Value will be achieved, has not been researched widely. Therefore, an exploratory approach to research was adopted here using in‐depth analysis of a small number of particularly informative local authorities and private providers selected by purposive/judgemental (extreme and critical case) sampling. Personal contact was deemed necessary in order to perform an intensive investigation to pursue in‐depth information.

The British Government's Best Value regime is driving local authorities towards increasing levels of outsourcing in the provision of home care. A local authority may choose to outsource all of its home care or maintain some in‐house provision based on capacity or capabilities that are complementary to those provided by the independent sector. The 100 per cent outsourcing strategy places enabling demands on the local authority, whereas the alternative strategy requires decisions to be made on what should be outsourced. Across the authorities surveyed, six strategies for creating a mixed economy of care have been identified, with the mix being based on complementary capacity and/or capabilities. With Best Value driving authorities to consider lower‐cost options, the outcome may be a reduction in the amount of complementary capacity provided in‐house, in favour of strategies involving complementary capabilities that deliver the Best Value possible. Re‐enablement is emerging as a common, complementary or core capability that is remaining in‐house. Outsourcing also requires decisions to be made on the number of independent providers to be used and the type of contracts to be employed. This paper considers the decisions that have been made in the local authorities surveyed and critiques the alternative home care outsourcing strategies so derived.

To date, the research has focused on Wales in general plus a few local authorities in England. The next stage will be to survey England in more detail along with other countries that are implementing substantial outsourcing of home care, such as Canada.

This paper provides timely guidance to public sector and health care managers seeking Best Value in home care through outsourcing.

Little has been found in the literature on strategies for outsourcing home care, yet such strategies are needed urgently in the UK to achieve Best Value. The World Health Organization stresses that strategies should be drawn up for providing support to patients and carers at community level in order to avoid costly institutional care.

This paper seeks to address the question, “How can private home care providers compete and drive their businesses forward to deliver best value to the community?” Public sector managers in local authorities need this question answered so that they can provide their part of the solution, facilitating best value.

A review was performed of relevant literature on the commissioning (outsourcing) of home care and of best value. This indicates that the future of home care services, taking into consideration commissioning and how best value will be achieved, has not been researched widely. Therefore, an exploratory approach to research was adopted here using in‐depth analysis of a small number of particularly informative local authorities and private providers selected by purposive/judgemental (extreme and critical case) sampling. Personal contact was deemed necessary in order to perform an intensive investigation to pursue in‐depth information.

To improve value one can cut costs and/or increase quality. It is argued here that there is little immediate opportunity for private home care providers to cut costs and with fixed pricing substantial improvements in quality cannot be funded by increased prices or cost cutting elsewhere. To address this impasse, two solutions have been identified; increased economies of scale through consolidation in the marketplace and radical improvements in efficiency through the exploitation of information and communication technology (ICT). Both of these strategies have major ramifications for the “enabling local authority” taking actions to see best value delivered to its community.

This paper presents the findings of exploratory research. A more detailed study covering many more local authorities, private care providers and an international prospective will be conducted over the next two years.

This paper provides timely guidance to public sector managers in local authorities and private home care providers seeking best value in home care through commissioning.

Little has been found in the literature on strategies by which private home care providers can deliver best value, yet such strategies are needed urgently to achieve best value. This paper is a timely contribution to addressing this need.

The purpose of this paper is to understand the effect of batching on bullwhip effect in a model of multi‐echelon supply chain with information sharing.

The model uses the system dynamics and control theoretic concepts of variables, flows and feedback processes and is implemented using iThink^® software.

It has been seen that the relationship between batch size and demand amplification is non‐monotonic. Large batch sizes, that when combined in integer multiples can produce order rates that are close to the actual demand, produce little demand amplification, i.e. it is the size of the remainder of the quotient that is the determinant. It is further noted that the value of information sharing is greatest for smaller batch sizes, for which there is a much greater improvement in the amplification ratio.

Batching is associated with the inventory holding and backlog cost. Therefore, future work should investigate the cost implications of order batching in multi‐echelon supply chains.

This is a contribution to the continuing research into the bullwhip effect, giving supply chain operations managers and designers a practical way into controlling the bullwhip produced by batching across multi‐echelon supply chains.

Previous similar studies have used control theoretic techniques and it has been pointed out that control theorists are unable to solve the lot sizing problem. Therefore, system dynamic simulation has been applied to investigate the impact of various batch sizes on bullwhip effect.

The purpose of this paper is to analyze the effect of batching on bullwhip effect in a model of multi‐echelon supply chain with information sharing.

The model uses the system dynamics and control theoretic concepts of variables, flows, and feedback processes and is implemented using iThink^® software.

It has been seen that the relationship between batch size and demand amplification is non‐monotonic. Large batch sizes, when combined in integer multiples, can produce order rates that are close to the actual demand and produce little demand amplification, i.e. it is the size of the remainder of the quotient that is the determinant. It is further noted that the value of information sharing is greatest for smaller batch sizes, for which there is a much greater improvement in the amplification ratio.

Batching is associated with the inventory holding and backlog cost. Therefore, future work should investigate the cost implications of order batching in multi‐echelon supply chains.

This is a contribution to the continuing research into the bullwhip effect, giving supply chain operations managers and designers a practical way into controlling the bullwhip produced by batching across multi‐echelon supply chains. Economies of scale processes usually favor large batch sizes. Reducing batch size in order to reduce the demand amplification is not a good solution.

Previous similar studies have used control theoretic techniques and it has been pointed out that control theorists are unable to solve the lot sizing problem. Therefore, system dynamic simulation is then applied to investigate the impact of various batch sizes on bullwhip effect.

Advances in information technology have revolutionised the working environment. The concept of working in virtual teams was in existence in the developed part of the globe since 1960s. In developing economies, it emerged in the recent decades and gained impetus during the ongoing pandemic. This paper aims to propose examining the relationship between team cohesion and virtual team performance with the help of meta-analysis.

On published research, combined random effect meta-analysis and moderator analysis were done with the aid of Meta-essential 1.5 software. The preferred reporting items for systematic reviews and meta-analyses was designed for systematic meta-analysis.

The meta-analysis shows significant effect of cohesion on virtual team performance (r = 0.40, p < 0.000). Study outcomes indicate a positive relationship between team cohesion and virtual team performance. High heterogeneity was found and moderator analysis was performed to examine the heterogeneity.

According to the findings, the performance of teams of different sizes, tenure and occupation should not be viewed as equivalent. Results of the study can be generalised to business (employees), education (students) and online gaming teams.

Managers should be aware of cohesion concerns in work process because they may foreshadow future performance challenges or reflect other organisational issues affecting virtual team performance. The relationship between team cohesion and team performance is predicted by team occupation, size and time.

To the best of the authors’ knowledge, this work is a first attempt to undertake meta-analysis to study the relationship between team cohesion and virtual team performance.