Community Connections to Enhance Undergraduate International Business Education: An Example of Business Consulting Projects

Practical project experience as a means of augmenting traditional classroom learning has long been viewed as a value adding curricular exercise. While students participating in the projects gain valuable skills that will enhance their personal marketability, successful projects also benefit the client companies involved and help enhance the image of the university. Substantial effort goes into planning and implementing such an experience and involves extensive coordination with multiple constituents. This article details how a project-based capstone experience was developed in partnership with the local business community and the College's Center for International Business as part of the degree requirements for a relatively new Bachelor of Science in International Business program.     

Job autonomy, trust in leadership, and continuous improvement: An empirical study in health care

This research examines the influence of autonomy in day-to-day work on commitment of frontline employees to continuous improvement. Our hypothesized model links the job characteristics theory of work design that associates job autonomy with responsibility for outcomes, and the total quality management perspective that advocates empowering employees in order to generate commitment to continuous improvement. Further, as leadership is known to have a role in shaping job behaviors, and is considered important for the success of total quality management, the influence of trust in leadership on the relationship between job autonomy and commitment to continuous improvement is also examined. We test our hypotheses on data collected from individual employees working for an outpatient health care organization that is applying lean principles for managing and improving work processes. Based on our results, we present implications for organizations implementing continuous improvement initiatives such as lean, particularly in service environments such as health care.     

An experimental investigation of valuation change due to commonality in vertical product line extension

Commonality in product line design refers to using identical product features or modules in multiple products. The use of commonality in product line extensions is a growing practice in many industries. We consider vertical product line extensions to lower- and higher-end products, and study the effects of identical feature levels on consumers' evaluation of original products. Using a between-subject experimental design, we examine the effect of commonality using the bicycle as the example product. This experiment is then extended to eight different service and manufactured products. Results show that in many cases identical feature levels increase the perceived similarity between original and extension products. This influences the valuation of original products: valuation of the original low-end product increases while valuation of the original high-end product decreases. However, the amount of valuation change is not necessarily the same for the original low- and high-end products. This valuation change occurs regardless of buyers' knowledge level of the product and is sometimes moderated by a large difference in a differentiated feature.
This study suggests the importance of accounting for the demand-side effect of commonality in product design decisions. Change in customers' valuation may call for an adjustment in price—the price of a high-end product may have to be lowered due to valuation discount, and the price of a low-end product could be raised to take advantage of valuation premium. This change in valuation does not occur for every feature in every product. Therefore, by properly selecting the features that are identical, a firm may be able to take advantage of valuation premium without sacrificing valuation discount and enjoy the economies of scale in manufacturing and logistics due to commonality.     

Value-at-Risk in the Presence of Structural Breaks Using Unbiased Extreme Value Volatility Estimator

Journal of Quantitative Economics - We provide a framework based on the unbiased extreme value volatility estimator to predict long and short position value-at-risk (VaR). The given framework...     

Machine learning for quantitative finance: fast derivative pricing,hedging and fitting

In this paper, we show how we can deploy machine learning techniques in the context of traditional quant problems. We illustrate that for many classical problems, we can arrive at speed-ups of several orders of magnitude by deploying machine learning techniques based on Gaussian process regression. The price we have to pay for this extra speed is some loss of accuracy. However, we show that this reduced accuracy is often well within reasonable limits and hence very acceptable from a practical point of view. The concrete examples concern fitting and estimation. In the fitting context, we fit sophisticated Greek profiles and summarize implied volatility surfaces. In the estimation context, we reduce computation times for the calculation of vanilla option values under advanced models, the pricing of American options and the pricing of exotic options under models beyond the Black–Scholes setting.     

Factor Models for Option Pricing

Options on stocks are priced using information on index options and viewing stocks in a factor model as indirectly holding index risk. The method is particularly suited to developing quotations on stock options when these markets are relatively illiquid and one has a liquid index options market to judge the index risk. The pricing strategy is illustrated on IBM and Sony options viewed as holding SPX and Nikkei risk respectively.     

Integration of South Asian Economies: an exercise in frustration?

This paper examines the factors underlying the slow progress towards economic integration between the countries of the South Asian region, and discusses the worth and likelihood of an effective agreement. It is argued that substantial integration will only take place after further economic growth leads to increased complementarity in their economic structures.     

Trade liberalization and industrial growth in Pakistan: a cointegration analysis

Using the framework of an endogenous growth model, this study empirically analyses the relationship between trade policies and industrial growth in Pakistan during the period 1973–1995. The cointegration and error correction modelling approaches have been applied. The empirical results suggest that there exists a unique long-run relationship among the aggregate growth function of industrial value added and its major determinants of the real capital stock, the labour force, real exports, the import tariff collection rate and the secondary school enrolment ratio. The short-term dynamic behaviour of Pakistan's growth function of industrial value added has been investigated by estimating an error correction model in which the error correction term has been found to be correctly signed and statistically significant.     

Consumers' waiting in queues: The role of first‐order and second‐order justice

Past research on queuing has identified social justice as an important determinant of consumers' waiting experiences. In queuing settings, people's perception of social justice is affected by whether the principle of first in and first out (FIFO) has been violated. However, even when service follows the FIFO principle, waiting time may still differ from one consumer to another for various reasons. For instance, a consumer who happens to arrive in the queue after a large group of people may have to wait longer than average. In this research, it is argued that, aside from and independent of the FIFO principle, consumers also care about whether everyone spends an approximately equal amount of time waiting before availing of the product or service. When consumers perceive that they have spent more time waiting than others and when they can attribute this injustice to the service provider, they will be less satisfied with the waiting experience. It is also proposed that adherence to the FIFO principle is a more salient concern to consumers (thus termed “first‐order” justice), and equal waiting time (”second‐order” justice) matters only when first‐order justice is not an issue. Three studies support the predictions. © 2008 Wiley Periodicals, Inc.