The Impact of Consumption Hassle on Pricing Schedules

A curious phenomenon in the retail pricing of many product categories (e.g., tuna, frozen orange juice, and tomato paste) is the existence of quantity surcharges. A related curiosity is the existence of both discounts and surcharges within the same product category. To explain the former phenomenon, extant research invokes heterogeneity in consumption parameters, heterogeneity in search costs, or concern for retail price image. To the best of our knowledge, there is no received explanation for the latter phenomenon. We add to this rich stream of work by proposing a novel explanation for quantity surcharges. Our explanation is based on the notion of consumption hassle. We analyze a market that is heterogeneous in a hedonic parameter that influences valuations as well as the effective cost of the consumption hassle. We then derive consumer choices (small pack, large pack, or two small packs) taking into account Individual Rationality (IR) and Incentive Compatibility (IC) constraints. In the absence of consumption hassle, we obtain two segments with one purchasing the small pack and the other purchasing the large pack. Moreover, the optimal pricing for the seller involves quantity discounts. However, with the introduction of consumption hassle, the market potentially splits into three segments: one purchasing the small pack, another purchasing two small packs, and the third purchasing the large pack. Moreover, the optimal pricing for the seller involves quantity surcharges. Overall, our analytical findings offer an additional explanation for the phenomenon of quantity surcharges. More importantly, they offer a rationale for the existence of multiple pricing schedules within the same product category by explicitly recognizing variations in consumption hassle. Copyright © 2012 John Wiley & Sons, Ltd.     

Open evaluation of new product concepts at the front end of innovation: objectives and contingency factors

The proliferation of innovation contests has fostered community-based idea evaluation as an alternative to expert juries to filter and select new product concepts at the fuzzy front end of corporate R&D innovation. We refer to this phenomenon as open evaluation, as all registered participants can engage in jury activities like voting, rating, and commenting. While previous research on innovation contests and user engagement includes participant-based evaluation, the investigative focus so far has not been on this phenomenon. Access to jury activities in open evaluation practice contradicts innovation theory, which recommends careful selection procedures to establish expert juries for assessing new product concepts. Additionally, little is known about contingency factors that influence the performance and acceptance of open evaluation's results. To address these two questions on the objectives and contingency factors for open evaluation of new product concepts, this study applies exploratory multiple-case research of open evaluation in nine innovation contests. Data collection encompassed expert interviews and complementary sources of evidence. Results indicate that firms pursue six distinct objectives to support participant-based generation and selection of new concepts. In addition, eight contingency factors influence the performance of open evaluation and the acceptance of its results. Finally, results showed open evaluation output to efficiently complement jury decisions in filtering and selecting ideas for new product development.     

Corporate entrepreneurship initiatives: Antagonizing cognitive biases in business model design

Entrepreneurs designing novel business model configurations face cognitive biases that derive from limited mental capacity to deal with complex and uncertain decision contexts. Building on the notion of the business model as an idiosyncratic mental representation that organizes managerial understanding of value creating and value capture, we investigate how entrepreneurs cope with cognitive biases inherent in business model design. We conducted a total of 35 in‐depth interviews with entrepreneurs situated in 15 corporate entrepreneurship initiatives in Germany. Our study results suggest that entrepreneurs counter cognitive biases by combining intuitive and deliberate reasoning approaches. Specifically, we identify five cognitive mechanisms and two higher level cognitive processes undergirding entrepreneurial reasoning in the design of new business models. Our findings provide empirically grounded insights into the cognitive perspective in business model research and help to theorize managerial reasoning during the process of business model design.     

Auctions for conservation contracts: an empirical examination of Victoria's BushTender trial

The present paper proposes that markets for nature conservation on private land are missing because of the problem of asymmetric information. An auction of conservation contracts was designed to reveal hidden information needed to facilitate meaningful transactions between landholders and government. The present paper describes the key elements of auction and contract design employed and the results obtained from a pilot auction of conservation contracts run in two regions of Victoria. The pilot demonstrated that it was possible to create at least the supply side of a market for nature conservation and in conjunction with a defined budget, prices were discovered and resources allocated through contracts with landholders. The present paper compares a discriminative price auction with a hypothetical fixed-price scheme showing that an auction could offer large cost savings to governments interested in nature conservation on private land. The paper identifies some important design problems that would need to be solved before auctions could be applied more broadly including: multiple complementary outcomes, reserve prices, sequential auction design and contract design. Nevertheless, the paper does show that auctioning conservation contracts for environmental outcomes is an important new policy mechanism that deserves closer examination.     

Deterministic nonlinearity in the stock returns of major European equity markets and the United States

By using recently developed statistical tools designed to overcome some of the limitations often associated with financial data, this study attempts to detect low-dimensional deterministic chaos in five major European stock markets and the United States. Country indexes exhibiting low-dimensional deterministic chaos may contain some informational inefficiency; thus, it may be possible to use nonlinear dynamics to predict future stock returns. The results do not provide evidence of the existence of low-dimensional chaotic systems in any of the examined indexes. As such, the notion of market efficiency in the examined indexes is not threatened by the findings of this study.     

Do analyst recommendations reflect shareholder rights?

We examine whether sell-side analyst recommendations reflect shareholder rights. Our rationale is that analysts should be influenced by external governance only if market participants do not efficiently price its value. We find that stronger shareholder rights are associated with more favorable recommendations. Further analysis reveals that analysts favor firms with strong shareholder rights only when strong rights appear to be warranted, but do not penalize firms for having strong rights when not needed. These findings occupy middle ground in the debate on the pricing efficiency of shareholder rights. Moreover, we find that firm value is positively associated with the strength of shareholder rights regardless of the expected external governance structure. The latter result is consistent with a “one-size-fits-all” interpretation, and implies that firms across the board could increase share value by reducing their number of anti-takeover provisions.     

Momentum and the Disposition Effect: The Role of Individual Investors

We hypothesize that disposition effect-induced momentum documented in Grinblatt and Han (2005) should be stronger in stocks with greater individual investors’ presence since individual investors are more prone to the disposition effect. We find strong evidence for our hypothesis for a large sample of NYSE/AMEX/NASDAQ stocks from the end of 1980 to 2005. Our results hold across different momentum strategies using alternative ways of defining individual investors’ presence in a stock and maintain even after controlling for variables known to drive momentum. Furthermore, we find that our results are stronger for hard-to-value stocks consistent with the findings of Kumar (2009).     

On the factors that affect airline flight frequency and aircraft size

This paper assesses the determinants of aircraft size and frequency of flights on US airline routes by considering market demographics, airport characteristics, airline characteristics and route characteristics. It shows that frequency and aircraft size increase with population, income, and runway length. An increase in the proportion of managerial workers in the labor force or the proportion of population below the age of 25 results in greater frequency with the use of small planes. Slot constrained airports and an increase in the number of nearby airports lead to lower flight frequency with the use of smaller planes. Hubs and low cost carriers are associated with larger plane sizes and higher frequency, while regional airline ownership leads to higher frequency and the use of smaller planes. An increase in distance between the endpoints leads to lower frequency with the use of larger planes. As airport delay rises, airlines reduce frequency and use smaller planes, though when airport cancellations rise, flight frequency increases with the use of larger planes.     

An approximate dynamic programming approach to solving dynamic oligopoly models

In this article, we introduce a new method to approximate Markov perfect equilibrium in large‐scale Ericson and Pakes (1995)‐style dynamic oligopoly models that are not amenable to exact solution due to the curse of dimensionality. The method is based on an algorithm that iterates an approximate best response operator using an approximate dynamic programming approach. The method, based on mathematical programming, approximates the value function with a linear combination of basis functions. We provide results that lend theoretical support to our approach. We introduce a rich yet tractable set of basis functions, and test our method on important classes of models. Our results suggest that the approach we propose significantly expands the set of dynamic oligopoly models that can be analyzed computationally.     

Religion and Economic Activity in India: An Historical Perspective

A bstract . It is suggested that there has been and continues to be, a deep interrelationship between religious thought and economic activity in India. This claim is evaluated, first in the context of ancient India (the Mauryan empire ), where self-reliance was stressed, both economically and religiously, In the context of medieval India, the ossification of the once flexible caste system had profound economic implications. Based on this historical perspective, it is contended any attempt to understand the economic realities of contemporary India must also take account of its religious realities.