Export marketing,interfunctional interactions,and performance consequences

Firms with export operations have internal environments that are often geared toward serving the home market. As a result, export marketing and other business functions compete for resources, which thus increases the likelihood of conflict between them. Using survey responses from more than 700 exporting firms, the authors test a model of the antecedents and consequences of two important interaction variables: exporting’s interfunctional connectedness and conflict. The model explains 52 percent and 49 percent of variance in exporting connectedness and conflict, respectively. The authors identify the key drivers of successful interactions as follows: management commitment, organizational training and reward systems, relative functional identification, centralization, and export employee job satisfaction and commitment. The authors also demonstrate that connectedness is most critical for export success when export markets are in a state of turbulence, whereas conflict is most detrimental when the firm’s export environment is stable. John W. Cadogan (j.w.cadogan@lboro.ac.uk), Ph.D., is a professor of marketing in the Business School at Loughborough University, United Kingdom. His primary areas of research interest are international marketing, marketing strategy, and sales management. He has published on these issues in theJournal of International Business Studies, theInternational Journal of Research in Marketing, theJournal of Business Research, Industrial Marketing Management, theEuropean Journal of Marketing, theInternational Marketing Review, theJournal of Marketing Management, theJournal of Strategic Marketing, and other academic journals. He received his degree from the University of Wales (United Kingdom). Sanna Sundqvist (sanna.sundqvist@lut.fi), Ph.D., is a professor in international marketing in the Department of Business Administration at the Lappeenranta University of Technology (Finland). Her research interests deal with the international diffusion of innovations, market orientation (especially in an international context), and consumers’ adoption behavior. She has published in theJournal of Business Research, theInternational Journal of Research in Marketing, theEuropean Journal of Marketing, theCanadian Journal of Administrative Sciences, and theAustralasian Marketing Journal. She received her degree from the Lappeenranta University of Technology, Finland. Risto T. Saiminen (risto.salminen@lut.fi), Ph.D., is a professor of industrial engineering and management, especially marketing, in the Department of Industrial Engineering and Management at Lappeenranta University of Technology, Finland. His primary areas of research interest are customer relationships and networks in business marketing, pedagogy in industrial engineering and management, and international marketing. He has published on these issues in theJournal of Business and Industrial Marketing, theJournal of Marketing Management, theEuropean Journal of Engineering Education, theInternational Journal of Research in Marketing, theEuropean Journal of Marketing, and theAustralasian Marketing Journal. He received his degree from Lappeenranta University of Technology, Finland. Kaisu Puumalainen (kaisu.puumalainen@lut.fi), Ph.D., is a professor in technology research in the Department of Business Administration at Lappeenranta University of Technology, Finland. Her primary areas of research interest are innovation, international marketing, and small businesses. She has published on these issues in theInternational Journal of Research in Marketing, theJournal of Business Research, theEuropean Journal of Marketing, R&D Management, theCanadian Journal of Administrative Sciences, theJournal of International Entrepreneurship, theAustralasian Marketing Journal, and theInternational Journal of Production Economics. She received her degree from the Lappeenranta University of Technology, Finland.     

Matching and anonymity

This work introduces a set-theoretic foundation of deterministic bilateral matching processes and studies their properties. In particular, it formalizes a link between matching and informational constraints by developing a notion of anonymity that is based on the agents’ matching histories. It also explains why and how various matching processes generate different degrees of “informational isolation” in the economy. We illustrate the usefulness of our approach to modeling matching frameworks by discussing the classical turnpike model of Townsend.This research is supported in part by the NSF grants EIA-0075506, SES-0128039, DMS-0437210, and ACI-0325846. We thank two anonymous referees for constructive comments that improved the exposition of the paper. We also thank the participants in seminars at the University of Aarhus, Purdue University, University of Texas at Austin, and at the XI Meeting on Real Analysis and Measure Theory in 2004, the spring 2004 Midwest Economic Theory Meeting, the summer 2004 North American and European Econometric Society meetings.     

Institutional plasticity in public-private interactions: Why Japan’s port reform failed

This study applies the concept of institutional plasticity to analyze institutional change, and investigates why actors are unable to change institutions even when change is apparently necessary. Employing historical institutionalism, the analysis focuses on public-private interactions in the recent port reform in Japan. The study’s findings reveal four limits to institutional plasticity due to the respective roles of key actors – the central government, the local port authority, and business entities – in the process of policy reform. The study suggests that while institutional plasticity may enable variation within an existing developmental trajectory or even creation of an entirely new path, insufficient institutional plasticity constrains the creation of new institutions and inhibits institutional change.     

The determinants of tax morale in Pakistan

This paper examines the determinants of tax morale in Pakistan, a country that has struggled with low tax effort over the past decade. We exploit novel data for individual taxpayers collected in 2014 by Pakistan’s Federal Board of Revenue to estimate a binary probit regression model. Our results are generally in line with the findings of the modern empirical literature on tax morale in other countries. Overall, groups with lower labor force participation show more positive attitudes toward tax compliance. Educated respondents exhibit higher tax morale than the illiterate, but only for those with very low or very high educational attainment is tax morale higher than for those with bachelor’s degrees. Tax morale is highest in major industrialized population centers that serve as seats of government. Females show generally higher tax morale than males, however, their attitudes tend to worsen with age to such an extent that elderly females have lower tax morale than elderly males. Our findings on gender suggest potential gains from increasing female labor force participation rates. More generally, addressing the current failures of tax administration and dealing with horizontal inequity arising from administrative weaknesses may contribute materially to improving voluntary compliance.     

Demand for ecolabeled seafood in the Japanese market: A conjoint analysis of the impact of information and interaction with other labels

The use of seafood ecolabels is expanding in the world marketplace, but so are labels indicating other product attributes, such as country of origin and wild vs. farmed. The interactive effects of these labels and attributes in evaluating consumers’ preferences for ecolabeled seafood are relatively unexplored. In this paper we investigate (1) the direct and interactive effects of seafood ecolabels with other common fish labels, and (2) how consumers’ perceptions about the state of marine stocks and the valuation of ecolabels may be affected by different information. We find moderate interactive effects between ecolabels and country of origin labels, whereas the valuation for seafood ecolabels is fairly high. In terms of information, we find that consumers’ perceptions about fish stock levels changed (negatively) after receiving information on declining stock levels, and more sensationalized information led to increased change. However, valuation for a seafood ecolabel increases only when the information was perceived positively (credible/interesting); whereas exaggerated information (which was also perceived less credible) had insignificant effects on WTP.     

Positive welfare effects of trade barriers in a dynamic partial equilibrium model

We develop a simple two-region, cobweb-type dynamic partial equilibrium model to demonstrate the existence of optimal, possibly non-zero, trade barriers. A pure comparative statics analysis of our model suggests that a reduction of trade barriers, modeled as small but positive import tariffs, always enhances welfare. However, taking a dynamic perspective reveals that nonlinear trade interactions between two regions may generate endogenous price fluctuations which can hamper welfare. Finally, we allow special interest groups, such as consumers or producers from these two regions, to lobby for a particular level of trade barriers. Our model predicts that time-varying trade barriers may be another channel for market instability.     

Do your neighbors affect your bicycling choice? A spatial probit model for bicycling to The Ohio State University

Neighborhood social effects have recently become a focus of interest in transportation research, whereby transportation mode choice is not only affected by an individual’s characteristics and transportation system conditions, but also by the mode choices of that individual’s social neighbors. This study supports the neighborhood social effects argument, using a spatial econometrics approach and data from The Ohio State University (OSU) 2012 Campus Transportation Survey. A spatial probit model of commuters’ mode choices (bicycling versus non-bicycling) is estimated, accounting for spatial autocorrelation. The results show that the more OSU-affiliated bicycle riders are residing around an individual OSU commuter, the more attractive bicycling becomes, controlling for other factors such as gender, status, proximity to campus, bicycle infrastructure and attitudes. The results indicate that students and males are more likely to commute by bicycles. The probability of choosing bicycles decreases with distance from campus. In addition, proximity to bicycle infrastructure and physical environment both encourage respondents to bicycle. Feeling of safety, travel cost and concern for the environment also affect bicycling choice.     

Open Innovation in Emerging Markets: A Business Model Perspective

There has been significant contribution to the management literature on open innovation and partnership strategy, detailing their nature and impact in a wide range of business environments. However, “strategic positioning” of the business model based on their interactions with other business entities has not received enough academic attention despite its implications for the new generation of start-ups in emerging markets who do not have any prior business models to emulate. This research conceptualizes a framework that would help strategists position their firm in the market by carefully analyzing its interactions with other business and social entities in the business eco-system.     

A Pathway Forwards for the Social Capital Metaphor

A major topic in economics is the analysis of a broad class of phenomena associated with interpersonal relationships, a topic that originally grew from theories of “social capital.” While the concept has been instrumental in bringing increased attention to social effects on economic outcomes, it has increasingly been replaced with approaches that consider instead networks and discrete interactions rather than aggregate measures of social capital. This has been an analytical improvement, but a great deal of work remains to bring empirical validity and relevancy to social network analysis. This paper presents two important approaches for achieving this, statistical analysis and agent-based modeling, and discusses their benefits, limitations, and complementary nature. Rather than waiting for either approach to achieve an ambiguous quality of maturity, integrating statistical analysis with simulation models of networks must begin now to push the frontiers of social network analysis forward.     

Dynamic Interactions Among Macroeconomic Variables and Stock Indexes in Taiwan,Hong Kong,and China

This study analyzes dynamic interactions among macroeconomic variables and the stock markets of Taiwan, Hong Kong, and China by incorporating the long-term and short-term comovements, which can shed some light on the long-term and short-term market efficiency/inefficiency in the region. The number of common cycles is investigated in these markets and each stock index series is decomposed into its trend and cyclical components. The authors observe that foreign stock markets have greater influence on the domestic market than domestic macroeconomic variables do. This implies that policymakers need to consider not only macroeconomic variables but also the effects of markets on one another when markets are integrated.