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Provides an overview of the special issue of the European Journal of Marketing on “Export marketing”. Five basic questions to be answered in the export marketing area are identified. The articles in this special issue should provide a significant stimulus to further conceptual thinking addressed at these export decisions. Discusses policy implications. Developments in policy models await parallel developments in models of export decisions and processes.

This paper identifies an implicit importer buying behavior model that is suggested by import decision studies and reviews contextual factors that distinguish international sourcing from its domestic counterpart. We then critique this implicit model and discuss its major shortcoming, namely, the failure to take into account the cognitive processes that influence vendor search and evaluation patterns. Drawing on the cognitive psychology and artificial intelligence literatures, this paper proposes an alternative model of importer buying behavior that explicitly accounts for the use of cognitive heuristics and presents a series of testable research propositions. Theoretical and managerial implications are also discussed.

Traditionally, researchers have relied on the “rational choice” paradigm in studying organizational buying behaviour. Shows that such reliance is inappropriate in the international setting. By integrating insights from four theoretical perspectives that break out of the rational choice model, ventures 14 propositions of importer behaviour that shed useful light on the complex and messy process of overseas vendor search. Also discusses managerial implications and directions for further research.

Knowledge has been considered a crucial organizational asset for gaining competitive advantages. It is critical for a firm to maintain a knowledge composition that is productive. This study aims to examine the applicability of the diversity–stability principle in ecology to knowledge management and further investigate the impact of knowledge diversity on firm performance.

A theoretical framework for knowledge diversity and firm performance is proposed; a questionnaire survey was conducted to evaluate the research framework. Fifty-eight valid responses from experts were collected to measure knowledge strength and diversity of 20 enterprises in four industries, and financial indexes of the 20 enterprises from 2008 to 2012 were collected to analyze the research model.

The results show that higher information technology (IT) capabilities in a firm lead to higher levels of knowledge strength and diversity. The strength and diversity of knowledge in a company can improve average company performance and reduce performance variations.

This paper presents a new perspective that applies the ecological concept of diversity to examine the value of knowledge in organizations. The findings expand our understanding of the role of IT and knowledge in organizational performance. A limitation is that the sample size is relatively small, which may limit the generalizability of the findings.

CEOs and chief knowledge officers can apply the findings herein to assess their organizational knowledge profiles and maintain a healthy knowledge ecology in strategic planning. They should be aware that both knowledge strength and knowledge diversity are crucial to the stability of firm performance.

The ecological view of knowledge management stresses the importance of maintaining a healthy intensity and diversity of knowledge at the macro level and indicates a new direction for knowledge management.

The booming social media attracts construction professionals (CPs) to express emotions caused by work pressure (WP) through online behaviors. Previous works focus on the analysis of WP and emotions but do not adequately consider how WP can be reflected through online emotions. Thus, this study aims to attempt to explore the quantitative relationship between online emotional intensity and WP.

This study developed a linguistic-sticker (LS) model to quantitatively evaluate the sentiment intensity of posts published on social media. Moreover, the authors designed two econometric models of ordinary least squares regression and negative binomial regression to test the hypothesis.

The research found that posts with stronger negative sentiment (or positive sentiment) indicate that CPs face higher (or lower) WP. Besides, there is a negative bias between the sentiment intensity of posts and the comment quantity.

The positive correlation between sentiment intensity of posts and WP has been confirmed, which indicates that construction managers should pay more attention to CPs' behavior on social media, and take a more direct way to analyze work-related online behavior (e.g. posting, commenting). The dynamic monitoring of emotion-related posts also provides a direct basis for the management team to learn about CP's pressure status and propose measures to reduce their negative emotions. Furthermore, the emotional posts published by CPs on social media provide a direct basis for team managers to obtain their psychological state.

The research contributes to incorporating CPs' emotions into the LS model and to providing information systems artifacts and new findings on the analysis of WP and online emotions.

The rapid proliferation of the Internet has allowed many firms to use this new technology to run Web‐based electronic stores to expand their markets and to enhance the operational performance. Therefore, it is interesting to investigate why electronic commerce benefits some industries more than others, and what factors affect the impact of using e‐Stores on performance in different industries. This paper reports findings on the effect of industrial characteristics, as portrayed by product information content and information intensity of the value chain, and e‐commerce models on firm performance. The results indicate that both industrial characteristics and e‐commerce models have significant effects on firm performance. Among the industrial characteristics, information content of the product and information intensity of the value chain have been found to have a significant impact on firm performances.