Unlocking the business outsourcing process model

Outsourcing has emerged as a prevalent business practice that is having a transformational impact on how many organizations manage their global supply chains. Despite this prominence, anecdotal reports from multiple reputable organizations suggest that many businesses fail to realize the benefits anticipated from their outsourcing initiatives. Motivated by these observations, this study investigates those management practices during the outsourcing process that are key drivers of outsourcing performance. Specifically, detailed data from 198 sourcing executives and managers responsible for outsourcing initiatives are used to investigate the influence that strategic evaluation, contractual completeness, and relationship management practices have on achieving projected outsourcing results. The results offer strong empirical evidence that outsourcing performance is significantly influenced by extensive strategic evaluation and proactive relationship management practices. Moreover, the impact strategic evaluation has on outsourcing performance is not direct, but rather is partially mediated by the relationship between the parties. Finally, the results show that contractual completeness does not distinguish between successful and unsuccessful outsourcing efforts, and can be considered qualifying activity.     

Economic versus physical input measures in the analysis of technical efficiency in fisheries

The measurement of technical efficiency requires the estimation of an appropriate production frontier. This is based on a set of inputs that are assumed to influence the level of output. Deviations from this frontier production function are separated into random variation and inefficiency. However, mis-specification of the production function through the use of inappropriate input measures may result in a bias in the measures of inefficiency. In fisheries, production is generally assumed to be a function of stock size, fishing time and the level of physical inputs employed. Defining the appropriate levels of physical inputs, however, is not straightforward, and several alternative measures are available. While economic measures of capital are more intuitively appealing, physical measures are generally readily available and hence less costly to collect. In this study, technical efficiency is measured for three fleet segments operating in the North Sea using three different gear types. The effects of using different measures of capital in the production frontier on the efficiency estimates are examined.     

Estimation of cost functions in a data poor environment: the case of capacity estimation in fisheries

Fisheries economic analysis is often handicapped by the lack of adequate data to undertake robust econometric analyses. In this study, a translog cost function was required to estimate the potential direction of adjustment in a UK fleet segment if a new regulatory regime was introduced. However, the available data were not appropriate for such estimation. Data envelopment analysis (DEA) was used to modify the data subsequently used in the estimation of the long-run cost function. The resulting model appears robust and is consistent with economic theory and the supporting evidence produced using DEA.     

Cost-effectiveness of axicabtagene ciloleucel for adult patients with relapsed or refractory large B-cell lymphoma in the United States

Abstract

Purpose: Axicabtagene ciloleucel (axi-cel) was recently approved for treatment of relapsed or refractory (R/R) large B-cell lymphoma (LBCL) following two or more prior therapies. As the first CAR T-cell therapy available for adults in the US, there are important questions about clinical and economic value. The objective of this study was to assess the cost-effectiveness of axi-cel compared to salvage chemotherapy using a decision model and a US payer perspective.

Materials and methods: A decision model was developed to estimate life years (LYs), quality-adjusted life years (QALYs), and lifetime cost for adult patients with R/R LBCL treated with axi-cel vs salvage chemotherapy (R-DHAP). Patient-level analyses of the ZUMA-1 and SCHOLAR-1 studies were used to inform the model and to estimate the proportion achieving long-term survival. Drug and procedure costs were derived from US average sales prices and Medicare reimbursement schedules. Future healthcare costs in long-term remission was derived from per capita Medicare spending. Utility values were derived from patient-level data from ZUMA-1 and external literature. One-way and probabilistic sensitivity analyses evaluated uncertainty. Outcomes were calculated over a lifetime horizon and were discounted at 3% per year.

Results: In the base case, LYs, QALYs, and lifetime costs were 9.5, 7.7, and $552,921 for axi-cel vs 2.6, 1.1, and $172,737 for salvage chemotherapy, respectively. The axi-cel cost per QALY gained was $58,146. Cost-effectiveness was most sensitive to the fraction achieving long-term remission, discount rate, and axi-cel price. The likelihood that axi-cel is cost-effective was 95% at a willingness to pay of $100,000 per QALY.

Conclusion: Axi-cel is a potentially cost-effective alternative to salvage chemotherapy for adults with R/R LBCL. Long-term follow-up is necessary to reduce uncertainties about health outcomes.     

The London Business School econometric model of the UK

This paper describes the London Business School econometric model — the first fully computerized model of the UK — which has been used for regular public forecasting since 1966. The model, estimated on quarterly data, is organized around the income expenditure accounts with a fully integrated flow of funds sector which ensures consistency between portfolio decisions and income, savings and investment decisions. Aggregate demand is built up from its individual components so that demand influences are important for the short- and medium-term behaviour of the model. But there are important supply-side effects which work through the real exchange rate and real wages. Monetary conditions have a powerfull effect on the model through the exchange rate, personal sector wealth and interest rates. Wages and employment are determined in a labour market in which employment decisions depend on the level of demand and real wages while real wages depend on the level of unemployment, real benefits and direct and indirect taxes as well as underlying trends in productivity. Asset prices move in any period to clear both the spot and the future market in assets so that current asset prices in the equity, gilt-edged and foreign exchange markets reflect all current information about the expected state of the economy. In contrast, goods prices adjust sluggishly. The combination of continuously clearing asset markets and sluggish wages and prices gives the model many of the theoretical characteristics associated with the open-economy models of Dornbusch and Buiter and Miller.     

HOUSING MARKETS AND THE GLOBAL FINANCIAL CRISIS: THE COMPLEX DYNAMICS OF A CREDIT SHOCK

We analyze the multiple channels of influence that global financial crisis‐induced credit restrictions had on New Zealand's subnational housing markets. The dynamics caused by the credit shock are compared to those caused by a migration shock, a more common form of housing shock in New Zealand. We focus on the impacts on two outcome variables, house prices and housing supply, within a structural time series model of regional housing markets. Both shocks cause substantial and prolonged cyclical adjustments in each variable. Similar cyclical dynamics could complicate the conduct of macroprudential policies designed to affect bank credit allocation. (JEL E32, E44, R21)     

Aviation and the Pursuit of Contestability

Pro-contestability policies are required to promote efficient airlines. The problem is acute in Europe where protectionist policies have led to high-fare, low-profit, low-productivity airlines and a steady loss of market than of world aviation to the low-cost profitable airlines of the Asia-Pacific region.     

The experience sampling method: examining its use and potential in tourist experience research

Though a valid and widely used approach in leisure, recreation, and psychology, the experience sampling method (ESM) is rarely used in tourism studies as a way to collect data on immediate conscious experiences during tourist events. This paper examines the use of ESM as it relates to tourist experience research. We begin by introducing ESM before exploring the application of this method to emerging smartphone technology. We then introduce a research approach, which incorporates the use of a digital ESM modified to act as a predominantly qualitative procedure, using voice recording software, to study the experience of educational tourists in Peru. The data gathered using this approach are analysed to examine the application and operational aspects of ESM. We consider the methodological implications of this research method by presenting findings on the length of qualitative discussions, reported mood, qualitative content related to ESM procedures, and post-trip recollection of ESM. The discussion that follows focuses on evidence of participant burden, reactivity, and anthropomorphism related to the use of smartphones as data collection tools. This paper concludes by outlining future research areas, with specific reference to spatial aspects, affect, and smartphone use, which expand the potential of ESM in tourist experience studies.