Measuring the Benefit of Offering Auxiliary Services: Do Bag‐Checkers Differ in Their Sensitivities to Airline Itinerary Attributes?

When firms evaluate their service system design choices, there is typically more uncertainty surrounding the value that a particular auxiliary service provides than there is on the cost of providing that service. To help inform this decision, we propose an approach where we compare the relative value of the segment of passengers who use an auxiliary service to the relative value of the segment that does not use it. We demonstrate this approach for a typical auxiliary service common to the airline industry. In 2008, most US airlines implemented checked baggage fee policies to decrease their costs by reducing the number of customer service agents needed in the check‐in and baggage handling processes. The success of this change has led to a current debate at many of these airlines on whether to make further staffing cuts in these areas, essentially making it even less attractive for passengers to check their baggage. Our proposed methodology helps answer whether passengers who continue to check bags in today's baggage‐fee era are more or less valuable than passengers who do not check bags. We explore this question empirically by examining, through a stated preference survey, if a history of checking or not checking bags can be used to segment passengers based on how their itinerary choices are influenced by common airline service attributes (on‐time performance, itinerary time, number of connections, airfare, and schedule delay). Contrary to the opinions of some top airline executives, we find that the passengers who continue to check bags at airlines that charge baggage fees are generally less sensitive to differences in three of these important service attributes and are less likely to switch airlines when a competing airline improves its offerings along these dimensions. Thus, airlines that charge for checked bags should consider improving the customer experience for their bag‐checking passengers, as they represent a potentially more valuable segment class to the airline.     

PhD Graduates with Post‐doctoral Qualification in the Private Sector: Does It Pay Off?

Abstract. In this paper, we address the question of the early careers of French PhD graduates in science and engineering sciences in 1996. Post‐doctoral training was initially developed for PhD graduates wishing to embark on a career in the public sector. However, a large proportion of post‐doctorate graduates turn to the private sector, and in particular to occupations that do not involve research. The question we raise is that of the wage premium on post‐doctoral training. To control for selection bias arising in the case where unobservable elements are correlated between participation and wages, we first estimate a treatment effect model. The main finding is that when selection bias is not controlled for, post‐doctoral participation increases earnings; however, when selection bias is controlled for, the participation in a post‐doctoral programme has no positive effect. With regards to this finding we show that post‐doctoral programmes play much more the role of a signal in the first stage of a career. This finding is also reinforced when we use a bivariate selection rule to control for the endogenous nature of having been recruited in the private sector.     

Testing Herzberg’s Two-Factor Theory of Motivation in the Public Sector: Is it Applicable to Public Managers?

Given the limitations in providing monetary rewards as an incentive in the public sector, Herzberg’s Two-Factor Theory of Motivation can be promising if it is applicable to public employees. This study identifies the effects of motivators and hygiene factors on public managers’ job satisfaction, and finds out if there is difference, compared to how private-sector employees are motivated. According to the findings, a majority of identified motivators in the previous research showed positive effects on job satisfaction among public managers, and public managers’ job satisfaction was not affected by hygiene factor as predicted in Herzberg’s study. Managerial implications are discussed.     

Do the Falling Earnings of Immigrants Apply to Self‐employed Immigrants?

It is well known that the earnings of recent cohorts of immigrant men have fallen further behind native‐born men. Using several years of Canadian Census data, this study finds that immigrants have turned to self‐employment at a much faster rate than the native born. In addition, the earnings gap between self‐employed immigrant and native‐born men has not grown with successive cohorts, but rather has followed a cyclical movement: narrowing at the peak, and widening in times of weaker economic activity. However, immigrants choosing self‐employment still face challenges, as their earnings are far below native‐born earnings, and convergence is a lengthy process.     

Potential Pitfalls for the Purchasing‐Power‐Parity Puzzle? Sampling and Specification Biases in Mean‐Reversion Tests of the Law of One Price

The PPP puzzle is based on empirical evidence that international price differences for individual goods (LOOP) or baskets of goods (PPP) appear highly persistent or even nonstationary. The present consensus is these price differences have a half‐life that is of the order of five years at best, and infinity at worst. This seems unreasonable in a world where transportation and transaction costs appear so low as to encourage arbitrage and the convergence of price gaps over much shorter horizons, typically days or weeks. However, current empirics rely on a particular choice of methodology, involving (i) relatively low‐frequency monthly, quarterly, or annual data, and (ii) a linear model specification. In fact, these methodological choices are not innocent, and they can be shown to bias analysis towards findings of slow convergence and a random walk. Intuitively, if we suspect that the actual adjustment horizon is of the order of days, then monthly and annual data cannot be expected to reveal it. If we suspect arbitrage costs are high enough to produce a substantial “band of inaction,” then a linear model will fail to support convergence if the process spends considerable time random‐walking in that band. Thus, when testing for PPP or LOOP, model specification and data sampling should not proceed without consideration of the actual institutional context and logistical framework of markets.     

Tradeoffs in Manufacturing? A Meta‐Analysis and Critique of the Literature

An ongoing, important question in the operations strategy literature pertains to tradeoffs: Can manufacturers focus on multiple priorities simultaneously or achieve strength on multiple capabilities without sacrificing performance of another? In this paper, we accumulate, integrate, and examine the wide spectrum of conclusions reached in the literature concerning tradeoffs using modified meta‐analysis methods. Based on two decades of empirical research in operations strategy, we find that the evidence in the literature indicates manufacturers, on average, do not report experiencing tradeoffs among the competitive dimensions of quality, delivery, flexibility, and cost as suggested by the classical tradeoffs model. Our meta‐analysis also reveals that the way variables are operationalized, whether initiatives are implemented, and the unit of analysis are all related to the degree and nature of the evidence a paper contains with respect to the tradeoffs issue. We interpret our meta‐analysis results in the context of the prevailing model of manufacturing strategy and the theory of performance frontiers. We also discuss how the research designs used in this literature, which are predominantly cross‐sectional, affect the nature of the evidence generated and the conclusions that can be drawn. We go on to suggest research designs that more directly assess the tradeoffs issue.     

The Performance of MNE Subsidiaries in China: Does It Matter to Be Close to the Political or Business Hub?

This study examines the impact of distance on financial performance of multinational enterprise (MNE) subsidiaries in China. We hypothesized and found that MNE subsidiaries performed better when located closer to the country's business hub, but performed less well when located closer to the political hub. We also hypothesized that distance effects are moderated by subsidiary size, subsidiary network, and state capital contribution to subsidiary. Our findings were based upon 45,248 MNE subsidiaries with location and geographic distance measured at the prefectural level in China.     

Requirement or Promise? An Analysis of the First‐Mover Advantage in Quality Contracting

Quality contracting is critical and challenging due to the many unique issues related to quality. In this study, we analyze the first‐mover right in quality contracting by considering two different strategies for the buyer: the quality requirement strategy (QR) where buyer moves first by posting quality requirement to suppliers and quality promise strategy (QP) where buyer voluntarily gives up the first‐mover right to suppliers to ask them to promise quality. We study which strategy (1) better encourages suppliers' quality improvement efforts and (2) leads to a higher expected profit for the buyer. To analyze the drivers behind the buyer's choice between QR and QP, we start with the basic model where buyer faces only one supplier who has the opportunity to make quality improvements. We then gradually add other business features such as information asymmetry and supplier competition, analyzing how each feature adds/changes the driving forces and how they interact in the buyer's decision between QR and QP. We consider both the case where the wholesale price is fixed (when the buyer has the power to dictate price or price is set by the market) and the case where the wholesale price is included as a variable (when price is part of the negotiation). We find that QP always leads to the first‐best quality efforts from the supplier(s) while QR limits their efforts. However, this does not guarantee higher expected profit for the buyer under QP. We provide insightful guidelines in buyer's choice between QP and QR. This research enriches the limited literature on quality contracting with quality improvement opportunity and asymmetric information.     

Risk Perception in the U.K. Oil and Gas Production Industry: Are Expert Loss‐Prevention Managers' Perceptions Different From Those of Members of the Public?

This article investigates potential differences in risk perception between experts (loss-prevention managers in the U.K. oil and gas production industry) and nonexperts (managers and students). Extant research on expert versus nonexpert perceptions of risk is reviewed, followed by the present study concerning risk perceptions of seven pen-picture scenarios involving the occurrence of hazardous events in the U.K. oil and gas production industry. In contrast to many of the earlier studies of expert versus nonexpert perceptions of risk, the present analysis concludes that experts did not judge the overall riskiness of the portrayed hazardous events as less risky than the nonexperts. Nevertheless, the experts believe more strongly than our nonexperts that the risks portrayed in the scenarios pose little threat to future generations, are more precisely known, and are relatively controllable. Use of multiple regression analysis to help uncover the basis of overall riskiness assessments for expert and lay respondents was inconclusive, however. Finally, little evidence was found that nonexperts were any more heterogeneous in their risk perceptions than experts. It may be that the nature of the risks assessed in the present study may account for the general lack of clear expert versus nonexpert differences in overall perceptions of the riskiness of hazardous events in the North Sea. Earlier findings of strong expert versus nonexpert differences in risk perception assessed hazards of major public concern. It is inferred that using such extreme hazards may have resulted in an exaggerated view of differences in expert versus public (nonexpert) perception of risk.     

Level‐k Auctions: Can a Nonequilibrium Model of Strategic Thinking Explain the Winner's Curse and Overbidding in Private‐Value Auctions?

This paper proposes a structural nonequilibrium model of initial responses to incomplete‐information games based on “level‐k” thinking, which describes behavior in many experiments with complete‐information games. We derive the model's implications in first‐ and second‐price auctions with general information structures, compare them to equilibrium and Eyster and Rabin's (2005) “cursed equilibrium,” and evaluate the model's potential to explain nonequilibrium bidding in auction experiments. The level‐k model generalizes many insights from equilibrium auction theory. It allows a unified explanation of the winner's curse in common‐value auctions and overbidding in those independent‐private‐value auctions without the uniform value distributions used in most experiments.     

To What Extent Are Labor‐Saving Technologies Improving Efficiency in the Use of Human Resources? Evidence from the Banking Industry

With special reference to the banking industry, the objective of this study is to address managerial concerns over the impact of labor‐saving technologies on efficiency in the use of human resources. A bank is viewed as a collection of human, technology, and capital resources. Labor‐saving technologies are represented by two categories of technology resources—information technologies and patented in‐house process innovations. The estimation of a stochastic frontier manpower‐requirement function shows that, whereas information technology resources have a direct impact on efficiency in the use of human resources, in‐house process innovations have an indirect impact through spillovers. The reduction in labor costs resulting from a more efficient use of human resources is more than enough to cover the required increase in information technology expenditures. This cost‐reducing impact is stronger for firms currently employing a lower level of information technologies. The empirical findings also suggest a complementary relationship between information technologies and spillovers of in‐house process innovations. The empirical framework proposed in this study can help decision makers determine the optimal input mix of technology and human resources.     

A Swiss‐Army Knife? A Critical Assessment of the Extractive Industries Transparency Initiative (EITI) in Ghana

Within the current global atmosphere where a universally accepted police force is nonexistent, there are several voluntary norms and codes of conduct that exist to guide how corporations behave worldwide. These have come as a result of many years of poor performance in the areas of social, financial, and environmental responsibility. Such norms are expected to prescribe and proscribe certain types of corporate behavior but when one examines the reality on the ground, the story is not that straightforward. This article assesses the effectiveness of the Extractive Industries Transparency Initiative (EITI) in the Ghanaian context with a focus on the mining sector. Based on primary qualitative data the argument is that even though the EITI is performing some function, it has ways to go before it can become an across‐the‐board viable tool for transparency and proper accountability. Five prevailing weaknesses are discussed to underscore this case.     

Encounter Satisfaction in E‐tailing: Are the Relationships of Order Fulfillment Service Quality with its Antecedents and Consequences Moderated by Historical Satisfaction?

This study focuses on whether historical satisfaction with an e‐tailer (HSat) moderates baseline relationships in order fulfillment service quality models. HSat is defined as satisfaction with the e‐tailer spanning all transactions except the current encounter. Encounter satisfaction (ESat) is defined as the consumer's satisfaction with the current transaction. In the baseline model, four order fulfillment service quality (OFSQ) dimensions managerially relevant to consumer e‐tailing are examined: timeliness, availability, condition, and billing accuracy. The baseline structural model results support that OFSQ dimensions impact ESat, which in turn predicts two key consequences—repurchase intention and word‐of‐mouth. Adaptation theory is used to model the role of HSat, while controlling for transaction recency, vendor familiarity, and competitive pricing. HSat is shown to have pervasive main and interaction effects upon all baseline model relationships. These moderation effects have great managerial relevance. For example, the results illustrate a phenomenon similar to the service recovery paradox, wherein when a negative service encounter is followed by a highly positive service recovery event, previously dissatisfied consumers, as compared to previously satisfied consumers, respond with higher levels of current satisfaction. For managers, this finding is encouraging because policies that create highly positive events for consumers can thus supersede past negative experiences. Our results show however that HSat cannot be completely superseded by current OFSQ or current ESat.