This study explores the influence that entrepreneurial cognition, in terms of the dichotomy in human information processing, has on the earliness of internationalization and post-entry speed. Entrepreneurial cognition is investigated through the lens of the dual-process theory, which posits that human information processing is formed of two systems, the experiential cognitive system (System 1) and the rational and analytical cognitive system (System 2). The speed of the entire internationalization process is analyzed in terms of earliness (how soon after inception a company enters its first international market) and post-entry speed (how fast it enters new markets after the first internationalization). Drawing on ten cases, we find that companies that internationalized earlier and faster were managed by entrepreneurs with higher levels of the experiential cognitive system. In contrast, companies that internationalized later and more gradually were managed by entrepreneurs with higher levels of the rational cognitive system. Thus, our study reveals that the speed of the entire process of internationalization is governed, at least partially, by the entrepreneur’s cognition. On the basis of our findings, we introduce three propositions on the moderation that the entrepreneur’s cognition exerts on the well-established relations between environmental signals and both earliness of internationalization and post-internationalization speed.
Vector autoregressive (VAR) models have become popular in marketing literature for analyzing the behavior of competitive marketing systems. One drawback of these models is that the number of parameters can become very large, potentially leading to estimation problems. Pooling data for multiple cross-sectional units (stores) can partly alleviate these problems. An important issue in such models is how heterogeneity among cross-sectional units is accounted for. We investigate the performance of several pooling approaches that accommodate different levels of cross-sectional heterogeneity in a simulation study and in an empirical application. Our results show that the random coefficients modeling approach is an overall good choice when the estimated VAR model is used for out-of-sample forecasting only. When the estimated model is used to compute Impulse Response Functions, we conclude that one should select a modeling approach that matches the level of heterogeneity in the data. 相似文献
We estimate the pass-through from market interest rates to bank interest rates using heterogeneous panel cointegration techniques to address heterogeneity at the bank level in the Czech Republic. The results indicate heterogeneity in bank pricing in the short, but not in the long term. Mortgage rates and firm rates typically adjust to money market changes, but often less than fully in the long run. Large corporate loans have a smaller mark-up than small loans. Consumer rates have a high mark-up and do not exhibit a cointegration relationship with money market rates even in the long run. Next, we examine how bank characteristics determine the nature of interest rate pass-through in a cross-section of Czech banks. We find evidence for relationship lending, as banks with a stable pool of deposits smooth interest rates and require a higher spread as compensation. Large banks are not found to price their products less competitively. Greater credit risk increases vulnerability to money market shocks. 相似文献
Language ability and entrepreneurial education are seen as essential resources for start-ups operating in intensified landscapes of internationalisation and globalisation. Deemed as the necessary skills for corporate effectiveness vis-à-vis rivals, this paper responds to calls for increased understandings of cultural components as vital to entrepreneurship and the product of institutional forces. Thus, it explores (a) the impact language ability has on start-up expansion; (b) the perceptions of international relations as based on language ability as a tool for cross-cultural communication; and (c) the role of educational context from the entrepreneurs’ perspective. Based on interviews from European online start-ups across three discrete contexts—Finland, Portugal and Sweden—it concludes that contextual trends regarding language and education are founded upon the cultural-cognitive and normative pillars of institutionalisation. Further, by combining actor-context perspectives, it poses that language ability and education are resources borne from the domestic environment which positively moderate the start-up’s international success. Nevertheless, the notion of learnt entrepreneurship remains contested. Taken together, this study contributes by offering deeper insight into the role of context on entrepreneurial tendencies by combining resource and institutional perspectives. 相似文献
The objective of this research is to identify which are the key variables for designing a message in a social network that can be used by an advertiser to generate Positive/Negative Engagement. The message’s design variables have been classified into four main groups: (i) Message Tools (presence of text, images, video, labels, applications, interactive games and events calendar or others), (ii) Appropriate Message Structure (length and intelligibility), (iii) Informative Cues (links to the brand, orientation towards the product or the brand, topics relevant to the audience, and a remuneration’s promise) and (iv) Persuasive and Emotional Cues (emotional signals, valence, endorsement and influencer mentions). The focus has been a tourist destination: Brand Spain that is advertised through Facebook. A content analysis was carried out and regression analysis with optimal scaling was used on 180 Spain brand’s publications; 57,626 audience reactions to such publications; and 1361 audience comments on the Brand Spain Official Fan Page. According to our results, from the four blocks of predictive variables, only two of them are useful to predict Positive/Negative Engagement: (i) the use of Message Tools (videos), and (ii) the use of informative cues (relevant topics, links on posts, and post’s orientation towards product). 相似文献
We experimentally investigate whether individuals can reliably detect cooperators (the nice(r) people) in an anonymous decision
environment involving “connected games.” Participants can condition their choices in an asymmetric prisoners’ dilemma and
a trust game on past individual (their partner’s donation share to a self-selected charity) and social (whether their partner
belongs to a group with high or low average donations) information. Thus, the two measures of niceness are the individual
donation share in the donation task, and the cooperativeness of one’s choice in the two games. We find that high donors achieve
a higher-than-average expected payoff by cooperating predominantly with other high donors. Group affiliation proved to be
irrelevant.
Electronic Supplementary Material Supplementary material is available in the online version of this article at .
JEL Classification C91, C72, D3 相似文献