Examining the impact of information technology and patient flow on healthcare performance: A Theory of Swift and Even Flow (TSEF) perspective

The impact of information technologies on manufacturing operations and performance is well established. However, scant research has been devoted to examining information technology (IT) investment among hospitals and how it influences patient care and financial performance. Using the lens of the Theory of Swift Even Flow (TSEF), we present an operations management-based perspective on the effect of IT in streamlining hospital operations. Specifically, we examined the role of IT on patient flow and its consequences for improved hospital efficiency and performance.     

Information systems and technology sourcing strategies of e-Retailers for value chain enablement

In the e-Retail industry, a well-designed IT infrastructure is essential in creating a tightly integrated value chain and delivering high quality service. With intense competition for market share and profits, information systems and technology (IST) sourcing decisions are becoming increasingly important to e-Retail firms to support continued growth and market responsiveness. Drawing on the contingency theory, we examine organizational and environmental factors that influence an e-Retailer's IST sourcing strategy of make versus buy in enabling its value chain activities, and we also look at firm-level performance impacts of IST sourcing decisions that involve bundling across value chain activities. We test the proposed model and hypotheses using a panel data set of 307 firms over the period of 2006–2010. The results show that firms that make transformative IT investments tend to source a smaller portion of IST for their e-Retail value chain activities than firms that pursue automate or informate as their strategic role for IT investment. Capabilities are positively associated with IST sourcing. Firms experienced in e-Retail are more likely to build rather than buy their IST. In addition, we find mimicking behavior for IST sourcing among firms in the same merchandizer category. We find that IT strategic role is strongly associated with growth metric, whereas sourcing decisions predominantly impact operational performance measures. There is partial evidence that alignment between IT strategic role and IST sourcing decisions results in better performance effects. Moreover, complementary IST sourcing of synergistic marketing and sales activities positively impacts Web sales and conversion rate, but the sourcing combination of logistics, operations, and sales activities is associated with lower Web sales and conversion rate.     

Multinationals and human resource practices in Ireland: a rejection of the 'new conformance thesis': a reply

This paper reports on a study of 398 people employed in two UK service organizations: a hospital and two divisions of a high street bank. The main purpose of the study was to determine the degree to which dispositional factors (predisposition to trust and trait anxiety) and situational factors (seven aspects of the job environment) predicted a person's reported trust in their managers. Two types of managers were investigated: a person's immediate line manager and ‘senior managers in their industry’. It was hypothesized that the dispositional factors would have a greater influence on trust in managers in the industry and that situational factors would have a greater influence on trust in one's immediate line manager. The first hypothesis was supported, but the second was not. It was found that trust in both types of managers was best predicted by a combination of general disposition to trust (not trait anxiety) and situational factors: five of the seven situational factors had a role in predicting intention to trust. This reflects the complexity involved in predicting trust at work and the managerial challenge of creating a trusting culture.     

Exploring the effectiveness of cigarette warning labels: findings from the United States and United Kingdom arms of the International Tobacco Control (ITC) Four Country Survey

• This paper explores the effectiveness of cigarette warning labels across two countries, one (the UK) with new and stricter legislation where text based labels have been made more prominent and one (the USA) with less stringent regulation, where labels are less visible. Using longitudinal data from the two countries, the research seeks to investigate the impact of the different types of warning labels on the information processing by consumers. This paper assesses the effectiveness of warning labels in terms of: consumer attention, elaboration, contemplation on quitting and behavioural compliance. This study provides a comprehensive examination of these key factors in a fixed causal sequence. Structural equation modelling was used to test this model based on longitudinal panel survey data from the International Tobacco Control (ITC) Four Country Survey. Analysis of a sample of 901 US smokers and 1459 UK smokers yielded results in full support of all hypothesised relationships in the model proposed for both countries. Findings suggest that the new European Union policy of more prominent warning labels has a direct effect on influencing behavioural compliance by smokers.

Copyright © 2007 John Wiley & Sons, Ltd.     

When natural resources run out,market knowledge steps in: Lessons on natural resource deployment from a longitudinal study in a resource-scarce region of Ethiopia

With the increasing scarcity of natural resources, the ability to maintain quality standards during resource-scarce times becomes more critical for business performance. Theories on managing resource scarcity cannot be easily tested in contexts where resources are still abundant. This study therefore turns to an emerging market context in which natural resource availability naturally varies strongly between seasons, namely, that of Ethiopian pastoralists who for many generations learned to adapt to natural resource scarcity. Central to our theory is the natural resource deployment capability, which is the ability of a business to make efficient and effective use of available resources to maintain business performance during resource-scarce times. Using three-wave longitudinal data from 120 pastoral family-based livestock businesses, the study shows that when resources are scarce or extremely scarce, market knowledge helps to better deploy the scarce natural resources, leading to higher product quality. The findings imply that businesses with a better understanding of markets have stronger natural resource deployment capability. The lesson for businesses that are confronted with approaching resource scarcity is therefore to strengthen their ability to deploy resources efficiently and effectively by strengthening their market knowledge in which such capability is rooted.     

Welfare and excess volatility of exchange rates

We study the properties of a GEI model with nominal assets, outside money (injected into the economy as in Magill and Quinzii (J Math Econ 21:301–342, 1992)), and multiple currencies. We analyze the existence of monetary equilibria and the structure of the equilibrium set under two different assumptions on the determination of the exchange rates. If currencies are perfect substitutes, equilibrium allocations are indeterminate and, generically, sunspot equilibria exist. Generically, given a nonsunspot equilibrium, there are Pareto improving (and Pareto worsening) sunspot equilibria associated with an increase in the volatility of the future exchange rates. We interpret this property as showing that, in general, there is no clear-cut effect on welfare of the excess volatility of exchange rates, even when due to purely extrinsic phenomena.     

Prices versus quantities: environmental regulation and imperfect competition

By exercising market power, a firm will distort the production, and therefore the emissions decisions, of all firms in the market. This paper examines how the welfare implications of strategic behavior depend on how pollution is regulated. Under an emissions tax, aggregate emissions do not affect the marginal cost of polluting. In contrast, the price of tradable permits is endogenous. I show when this feedback effect increases strategic firms’ output. Relative to a tax, tradable permits may improve welfare in a market with imperfect competition. As an application, I model strategic and competitive behavior of wholesalers in a Mid-Atlantic electricity market. Simulations suggest that exercising market power decreased emissions locally, thereby substantially reducing the regional tradable permit price. Furthermore, I find that had regulators opted to use a tax instead of permits, the deadweight loss from imperfect competition would have been even greater.     

Interpartner Legitimacy in the Alliance Development Process*

abstract We propose a framework to understand interpartner legitimacy in strategic alliances. Interpartner legitimacy is the mutual acknowledgment by the alliance partners that their actions are proper in the developmental processes of the alliance. We argue that interpartner legitimacy is needed for cooperation to achieve alliance objectives. We propose three types of interpartner legitimacy – pragmatic, moral, and cognitive legitimacy – and discuss the dynamics of these three types in the formation, operation, and outcome stages of alliance development. Further, we discuss the salience of interpartner legitimacy in different alliance types. Finally, we derive propositions for further research, and discuss strategies that alliance managers can adopt to develop interpartner legitimacy.     

On estimating the reliability after sequentially estimating the mean: The exponential case

Sequential estimation problems for the mean parameter of an exponential distribution has received much attention over the years. Purely sequential and accelerated sequential estimators and their asymptotic second-order characteristics have been laid out in the existing literature, both for minimum risk point as well as bounded length confidence interval estimation of the mean parameter. Having obtained a data set from such sequentially designed experiments, the paper investigates estimation problems for the associatedreliability function. Second-order approximations are provided for the bias and mean squared error of the proposed estimator of the reliability function, first under a general setup. An ad hoc bias-corrected version is also introduced. Then, the proposed estimator is investigated further under some specific sequential sampling strategies, already available in the literature. In the end, simulation results are presented for comparing the proposed estimators of the reliability function for moderate sample sizes and various sequential sampling strategies.