Entrepreneurs’ Resources,Technology Strategy,and New Technology‐Based Firms’ Performance

This study is based on the configuration approach and argues that the new technology‐based venture's performance depends on how well the entrepreneur's resources allow the chosen technology strategy to be executed, in other words, the fit between the resources and the strategy. The authors study this idea by using a sample of 175 Spanish new technology‐based ventures. The results indicate that the fit between the chosen technology strategy and the entrepreneur's resources explain the firm's performance, when this is measured through foreign market performance. That fit is also related to the technology‐based firm's financial results and generic and domestic performance.     

A COMPLETE THEORY OF COMPARATIVE STATICS FOR DIFFERENTIABLE OPTIMIZATION PROBLEMS

A new comparative statics formalism using generalized compensated derivatives is presented that, in contrast to existing methodologies, directly yields constraint‐free semidefiniteness results for any differentiable, constrained optimization problem. The formalism provides a natural and powerful method of constructing comparative statics results, free of constraints and unrestricted in scope. New results on envelope relations, invariance conditions, rank inequalities and non‐uniqueness are derived that greatly extend their utility and reach. The methodology is illustrated by deriving the comparative statics of multiple linear constraint utility maximization models and the principal‐agent problem with hidden actions, both highly nontrivial and hitherto unsolved problems.     

The optimal method for pricing Bermudan options by simulation

Least‐squares methods enable us to price Bermudan‐style options by Monte Carlo simulation. They are based on estimating the option continuation value by least‐squares. We show that the Bermudan price is maximized when this continuation value is estimated near the exercise boundary, which is equivalent to implicitly estimating the optimal exercise boundary by using the value‐matching condition. Localization is the key difference with respect to global regression methods, but is fundamental for optimal exercise decisions and requires estimation of the continuation value by iterating local least‐squares (because we estimate and localize the exercise boundary at the same time). In the numerical example, in agreement with this optimality, the new prices or lower bounds (i) improve upon the prices reported by other methods and (ii) are very close to the associated dual upper bounds. We also study the method's convergence.     

Flow experiences and image making: An online chat‐room ethnography

Chat rooms are a relatively new phenomenon. They provide a unique experiential locale, much like a community. They have become a popular replacement for oft‐diminishing communities of yore. Qualitatively building on three overarching themes, chat rooms are put at the nexus of three diverse theoretical themes: community, flow experiences, and image management—the latter two being explored in this article. Chat rooms provide flow‐like experiences to participants and allow chatters to manage and enhance their images. Given that chatters are highly involved and frequent visitors to their online community (specific chat rooms), they provide a unique opportunity to study this relatively new phenomenon, which has far‐reaching, multidisciplinary implications. © 2004 Wiley Periodicals, Inc.     

Generic Competition in the US Pharmaceutical Industry

We develop a simultaneous equations estimation framework to understand the interactions among generic entry, prices, and market shares. We base our estimates on a panel data sample of 40 brand‐name drugs that first experienced generic competition during the period July 1992–January 1998. We find that generic share and price are simultaneously determined, while the number of generic entrants is a key determinant of generic market share and the generic‐to‐brand price ratio. In addition, we find generic competition to be particularly intense for blockbuster drugs, which experience significantly more generic entrants, price erosion, and generic penetration than other drugs.     

The DNA of the domestic value added (DVA) in exports: Firm‐level analysis of DVA in exports

This paper sheds light on the relationship between domestic value added in exports (DVA) and the different ways firms participate in GVCs by exploiting a detailed firm‐level data set for the whole population of Slovenian exporting firms for the period 2002–14. The paper draws attention to those firm characteristics that allow a greater share of DVA to be captured. Although reliance on industry‐level data from input–output tables is the most common way of doing this in the literature, this paper develops a method for estimating DVA in exports using firm‐level data by adapting the approach taken by Kee and Tang (2016). The paper finds that in terms of DVA, domestic‐owned exporting firms outperform more productive foreign‐owned firms and that firms not affiliated with permanent suppliers from abroad capture higher DVA in exports. Positive outcomes of DVA in exports can be observed, all else being equal, for firms with a larger share of intangible capital per worker and firms with a smaller share of exports based on imports of the same products. The results also show that when exporting more to less demanding markets, like the countries of former Yugoslavia, firms benefit more in terms of greater DVA gains in exports.     

An Extended Search for Generic Consumer–Brand Relationships

Relatively few empirical studies address the question of generic relationships between consumers and brands. But a relationship‐oriented brand communication seems to have become increasingly important to companies. In this article, the authors present details of a study on generic consumer–brand relationships conducted in Germany. Based on the data of more than 900 consumers, four different types of consumer–brand relationships emerge, characterized as “best friendship,” “unemotional purpose‐based relationship,” “loose contact,” and “happy partnership.” An extended analysis of the data using advanced statistical methods supports these findings to a high degree. Furthermore, as the results of the extended analysis also suggest, numerous well‐known brands often appear within less favorable relationships like “unemotional purpose‐based relationship” and “loose contact.” These findings indicate important shortcomings of relationship‐oriented brand management in many companies and suggest the need for further work in this area.     

Do Environmental Regulations Influence Trade Patterns? Testing Old and New Trade Theories

The relationship between trade liberalisation and the environment has been the subject of a growing body of literature in recent years. One particular focus of attention has been whether environmental regulations are influencing patterns of international trade. This paper aims to examine this issue in the context of the Heckscher‐Ohlin‐Vanek (HOV) model of trade, but also in a ‘new’ trade model characterised by monopolistic competition and differentiated products. Our use of the HOV model improves upon a well cited study by Tobey (1990) in many ways, not least by allowing for the possible endogeneity of environmental regulations. We find no significant relationship between such regulations and ‘dirty’ net exports. The ‘new’ trade model explains the presence of both intra‐ and inter‐industry trade and we again allow for the possible endogeneity of regulations. We believe this to be the first study to assess the role of environmental regulations within a ‘new’ trade model, but also the first to allow for the endogeneity of regulations in a cross‐country model of trade. We find environmental regulations to be a statistically significant determinant of the share of inter‐industry trade (net trade) and we find this significance to increase when endogeneity is controlled for.     

A NEW METHOD OF PRICING LOOKBACK OPTIONS

A new method for pricing lookback options (a.k.a. hindsight options) is presented, which simplifies the derivation of analytical formulas for this class of exotics in the Black-Scholes framework. Underlying the method is the observation that a lookback option can be considered as an integrated form of a related barrier option. The integrations with respect to the barrier price are evaluated at the expiry date to derive the payoff of an equivalent portfolio of European-type binary options. The arbitrage-free price of the lookback option can then be evaluated by static replication as the present value of this portfolio. We illustrate the method by deriving expressions for generic, standard floating-, fixed-, and reverse-strike lookbacks, and then show how the method can be used to price the more complex partial-price and partial-time lookback options. The method is in principle applicable to frameworks with alternative asset-price dynamics to the Black-Scholes world.     

The impact of household life‐cycle stages on subjective well‐being: Considering the effect of household expenditures in Hungary

The household life‐cycle stage is a significant contributor to the perception of subjective well‐being; however, the effect of household expenditures of life‐cycles on subjective well‐being has not been thoroughly explored. The life‐course perspective, specifically the study of family/household life‐cycles, emphasizes the understanding of subjective well‐being across the entire life‐span. Accordingly, in the literature subjective well‐being is often studied at different life‐stages considering the influence of variables such as age, cohabitation and fertility. The present study evaluates the level of subjective well‐being across the various life‐cycle stages using a matching method on a Hungarian national sample. This approach is appropriate for studies using observational data because the administration of a true experimental design is usually not feasible for this type of research. The main finding of the article is that controlling for the expenditure structure significantly modifies the effect of life‐cycle on subjective well‐being, which is varied across life‐cycle stages and shown to be highly dependent on household expenditures.     

Reducing non‐attendance at specialist clinics: an evaluation of the effectiveness and cost of patient‐focussed booking and SMS reminders at a Scottish health board

The aim of the paper is to test the effectiveness of patient‐focussed booking and last minute reminders using short message service (SMS) messages to reduce non‐attendance at consultant outpatient clinics, and to estimate their cost to the service provider per non‐attendance [did not attend (DNA)] avoided. Non‐attendance is modelled in terms of patient‐focussed booking, reminders and a variety of control variables on new and return appointments at one health board in Scotland over a 14‐month period. Patient‐focussed booking and last minute reminders reduced non‐attendance. We find patient‐focussed booking demonstrated the importance of booking appointments no more than 6 weeks in advance, and would incur recurrent costs of £6 ($9.15, €6.73) compared with the status quo, assuming the DNA rate with neither initiative were 10%. Requiring patients also to opt in would cost an additional £200 ($305, €224). Coverage in terms of SMS reminders was limited both in respect to contact details and spread of cellphone ownership, but incurs no recurrent costs when the in‐house network, NHSmail, is used. Interactive voice response is an alternative to SMS reminders: it could achieve wide coverage, but at a cost of £5.50 ($8.39, €6.17) per DNA avoided. We conclude that SMS reminders and booking appointments no more than 6 weeks in advance can be effective and low‐cost ways to reduce non‐attendance. It is questionable whether patients should be required to opt in, unless this is by far the best way to obtain cellphone contact details. Otherwise. interactive voice response might be considered as the preferred method to send last minute reminders.     

Backward SDEs for control with partial information

This paper considers a non‐Markov control problem arising in a financial market where asset returns depend on hidden factors. The problem is non‐Markov because nonlinear filtering is required to make inference on these factors, and hence the associated dynamic program effectively takes the filtering distribution as one of its state variables. This is of significant difficulty because the filtering distribution is a stochastic probability measure of infinite dimension, and therefore the dynamic program has a state that cannot be differentiated in the traditional sense. This lack of differentiability means that the problem cannot be solved using a Hamilton–Jacobi–Bellman equation. This paper will show how the problem can be analyzed and solved using backward stochastic differential equations, with a key tool being the problem's dual formulation.     

AN ECONOMIC RATIONALE FOR COUNTERTRADE: Liquidity Constraints

Countertrade is a generic term for parallel business transactions linking sales contracts with agreements to purchase goods or services. Countertrade has been viewed as an inefficient way of doing business primarily because of problems associated with such things as quality variations and increases in transaction costs. A review of the international trade literature suggests that market imperfections (shortage of convertible currency, information asymmetry that may create the so-called lemon problem and moral hazard) may provide motivations for countertrade. This article focuses on one motivation: liquidity constraint. The liquidity constraint is introduced in both goods and the factor markets in addition to the production constraint. The article compares and contrasts two strategies facing the management team of a profit-maximizing firm. The model developed shows that countertrade strategy could be superior to standard money-mediated trade strategy when the liquidity constraint is binding. Therefore, countertrade appears to be a rational response to conditions that restrict standard trade. As such, countertrade can supplement standard money-mediated trade and contribute to the growth of international business.     

Distribution‐constrained optimal stopping

We solve the problem of optimal stopping of a Brownian motion subject to the constraint that the stopping time's distribution is a given measure consisting of finitely many atoms. In particular, we show that this problem can be converted to a finite sequence of state‐constrained optimal control problems with additional states corresponding to the conditional probability of stopping at each possible terminal time. The proof of this correspondence relies on a new variation of the dynamic programming principle for state‐constrained problems, which avoids measurable selections. We emphasize that distribution constraints lead to novel and interesting mathematical problems on their own, but also demonstrate an application in mathematical finance to model‐free superhedging with an outlook on volatility.     

Environmental dialogue in online communities: negotiating ecological citizenship among global travellers

The aim of this paper is to investigate how web‐based online communities bring about new forms of environmental dialogue. We suggest that these online sites play an important role in setting the stage for new forms of cultural production, dissemination of environmental knowledge and environmental dialogue, through which particular forms of ecological citizenship and consumer culture are being created and sustained. Based on an empirical study of an online community of ‘global travelers’ carried out using netnographic methods, the study shows how environmental knowledge is being disseminated, negotiated and made sense of in the online environments of the global marketplace. Our findings illustrate, in particular, how online communities may work out an agenda for sustainable consumption practices and lifestyles, and create new forms of consumer citizenship. Regarding the environmental policy implications of our study, we argue that there is a need to facilitate the creation of online environments where consumers can participate in the construction of active consumer citizenship.     

Panel studies of new venture creation: a methods-focused review and suggestions for future research

Longitudinal panel studies of large, random samples of business start-ups captured at the pre-operational stage allow researchers to address core issues for entrepreneurship research, namely, the processes of creation of new business ventures as well as their antecedents and outcomes. Here, we perform a methods-orientated review of all 83 journal articles that have used this type of data set, our purpose being to assist users of current data sets as well as designers of new projects in making the best use of this innovative research approach. Our review reveals a number of methods issues that are largely particular to this type of research. We conclude that amidst exemplary contributions, much of the reviewed research has not adequately managed these methods challenges, nor has it made use of the full potential of this new research approach. Specifically, we identify and suggest remedies for context-specific and interrelated methods challenges relating to sample definition, choice of level of analysis, operationalization and conceptualization, use of longitudinal data and dealing with various types of problematic heterogeneity. In addition, we note that future research can make further strides towards full utilization of the advantages of the research approach through better matching (from either direction) between theories and the phenomena captured in the data, and by addressing some under-explored research questions for which the approach may be particularly fruitful.     

A new multivariate count data model to study multi-category physician prescription behavior

Multivariate count models represent a natural way of accommodating data from multiple product categories when the dependent variable in each category is represented by a positive integer. In this paper, we propose a new simultaneous equation multi-category count data model–the Poisson-lognormal simultaneous equation model–that allows for the Poisson parameter in one equation to be a function of the Poisson parameters in other equations. While generally applicable to any situation where simultaneity is an issue and the dependent variables are measured as counts, such a specification is particularly useful for our empirical application where physicians prescribe drugs in multiple categories. Accounting for the endogeneity of detailing in such situations requires us to explicitly allow for pharmaceutical firms’ detailing activities in one category to be influenced by their activities in other categories. Estimation of such a system of equations using traditional maximum likelihood method is cumbersome, so we propose a simple solution based on using Markov Chain Monte Carlo methods. Our simulation study demonstrates the validity of the solution algorithm and the biases that would result if such simultaneity is ignored in the estimation process.     

Market Orientation: Scale Invariance and Relationship to Generic Strategies Across Two Countries

This article presents a scheme for investigating scale invariance for the market orientation construct across different countries by examining the psychometric properties of the operationalisation of market orientation (Narver and Slater, 1990). We investigate the measurement of market orientation in two countries (Australia and Zimbabwe—one being an example of a developed economy, the other of a developing economy). We then proceed to test the relationship between market orientation and Porter's (1980) generic strategies. The results suggest that the psychometric properties of the market orientation construct differ in important respects across countries. However, tests for convergent, predictive and discriminant validity using the generic strategies are fully supported for Zimbabwe while for Australia they are supported mutatis mutandis.