Search results

Despite arguments that traditional product costing and variance analysis operate contrary to the strategic goals of advanced manufacturing practices such as just in time (JIT), total quality management (TQM), and Six Sigma, little empirical evidence exists that cost accounting practices (CAP) are changing in the era of continuous improvement and waste reduction. This research supplies some of the first evidence of what CAP are employed to support the information needs of a world-class manufacturing environment. Using survey data obtained from executives of 121 U.S. manufacturing firms, the study examines the relationship between the use of JIT, TQM, and Six Sigma with various forms of traditional and non-traditional CAP. Analysis of variance tests (ANOVA) indicate that most traditional CAP continue to be used in all manufacturing environments, but a significant portion of world-class manufacturers supplement their internal management accounting system with non-traditional management accounting techniques.

Rolling out lean operations practices in MNCs’ plants is a complex knowledge transfer process whose design and implementation, though critical to operations performance, to date has not been investigated by operations management, international business, strategy, and organizational design research. Applying conceptual tools drawn from various theoretical approaches to knowledge management, transfer and diffusion, this exploratory study: (a) classifies and interprets lean roll-out processes in MNCs, framing them in terms of (i) knowledge replication strategies (template vs. principles-based), (ii) decentralization of decision making (degree of plant autonomy), and (iii) type of organizational ambidexterity (structural vs. contextual) underlying the process; (b) develops, through seven case studies of lean roll-outs in MNCs’ plants, three testable propositions about what might enhance the lean roll-out process performance, arguing about the individual and combined effect of the three above mentioned dimensions on lean roll-out effectiveness and efficiency. We posit that an approach characterized by principles-based knowledge replication, larger decentralization, and prevalence of contextual ambidexterity positively impacts on roll-out process performance.

Healthcare-associated infections (HAIs) are a major cause of concern because of the high levels of associated morbidity, mortality, and cost. In addition, children and intensive care unit (ICU) patients are more vulnerable to these infections due to low levels of immunity. Various medical interventions and statistical process control techniques have been suggested to counter the spread of these infections and aid early detection of an infection outbreak. Methods such as hand hygiene help in the prevention of HAIs and are well-documented in the literature. This chapter demonstrates the utilization of a systems methodology to model and validate factors that contribute to the risk of HAIs in a pediatric ICU. It proposes an approach that has three unique aspects: it studies the problem of HAIs as a whole by focusing on several HAIs instead of a single type, it projects the effects of interventions onto the general patient population using the system-level model, and it studies both medical and behavioral interventions and compares their effectiveness. This methodology uses a systems modeling framework that includes simulation, risk analysis, and statistical techniques for studying interventions to reduce the transmission likelihood of HAIs.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

In the previous chapters, I set out a conceptual model of trauma-informed servant leadership and discussed servant leadership supervision for working with burnout, compassion fatigue and secondary trauma in employees within trauma related health and social care settings. In this chapter, I further extend servant leadership to the peer support principle in trauma-informed approaches (Substance Abuse and Mental Health Services Administration, 2014). The first part of this chapter will examine peer support work (PSW) and report on the outcomes associated with it. Then, servant leadership will be discussed and used to operationalise the principle of peer support as set out in trauma-informed approaches. A servant leadership peer support approach is put forward with a theoretical basis. This theoretical model has been slightly changed from the previous servant leadership approaches discussed, in order to represent the PSW role more accurately. However, as discussed previously, it is not the characteristics of the Servant leadership (SL) model that define the approach, rather the philosophy and desire to serve first. In the last section of this chapter, Martha Griffin brings the characteristics of this model to life using her vast experience and discusses some of the potential challenges faced by peers in training and practice.

To measure adolescent girls’ preferences over features of human papillomavirus (HPV) vaccines in order to provide quantitative estimates of the perceived benefits of vaccination and potential vaccine uptake.

A discrete choice experiment (DCE) survey was developed to measure adolescent girls’ preferences over features of HPV vaccines. The survey was fielded to a U.S. sample of 307 girls aged 13–17 years who had not yet received an HPV vaccine in June 2008.

In a latent class logit model, two distinct groups were identified – one with strong preferences against vaccination which largely did not differentiate between vaccine features, and another that was receptive to vaccination and had well-defined preferences over vaccine features. Based on the mean estimates over the entire sample, we estimate that girls’ valuation of bivalent and quadrivalent HPV vaccines ranged between $400 and $460 in 2008, measured as willingness-to-pay (WTP). The additional value of genital warts protection was $145, although cervical cancer efficacy was the most preferred feature. We estimate maximum uptake of 54–65%, close to the 53% reported for one dose in 2011 surveillance data, but higher than the 35% for three doses in surveillance data.

We conclude that adolescent girls do form clear opinions and some place significant value on HPV vaccination, making research on their preferences vital to understanding the determinants of HPV vaccine demand.

DCE studies may be used to design more effective vaccine-promotion programs and for reassessing public health recommendations and guidelines as new vaccines are made available.