This paper investigates how psychic distance from export markets affects internationalization success. Using CORFO (Corporation for the Promotion of Production) data in Chile, two-stage Probit regression models are estimated. The results show that companies that decide to sell at a high psychic distance would have a better chance of success. However, previous experience in ventures would be important when deciding to export over long psychic distances. Thus, policymakers should take those factors into account when making decisions. Some limitations of this study are related to use cross section data, overlooking possible endogeneity problems. Nevertheless, and unlike other previous works, the methodology used tries to correct the inherent selection bias present in the topic investigated. The outcome of this work is important to encourage Chile’s born globals firms to focus their operations on the most attractive and distant international markets.
Este paper investiga cómo la distancia psicológica con los mercados destinos de las exportaciones afecta el éxito de internacionalización. Utilizando datos de CORFO (Corporación de Fomento a la Producción) en Chile, se estiman modelos de regresión Probit en dos etapas. Por una parte, los resultados muestran que las empresas que deciden vender a una alta distancia psicológica tendrían mayores opciones de éxito. Por otra parte, la experiencia previa en emprendimientos sería importante en la decisión de exportar a altas distancias psicológicas. Así, los responsables de política pública deberían tener en cuenta aquellos factores al momento de tomar decisiones. Algunas limitaciones de este estudio están relacionadas al uso de datos de corte transversal pasando por alto posibles problemas de endogeneidad. Sin embargo, y a diferencia de trabajos previos, la metodología utilizada intenta corregir el inherente sesgo de selección presente en el tópico de investigación. Los resultados de este trabajo son importantes para fomentar en Chile a que sus born globals enfoquen sus operaciones en los más atractivos y lejanos mercados internacionales.
Over the years, entrepreneurship has been considered a key element in the development of countries. Classic authors (
A special type of international entrepreneurship is known as born global firms, which are defined as firms that present an accelerated process of internationalization, meaning they initiate their commercial activities immediately in international markets or do so in a period relatively close to their foundation (
However, not only has the speed of the internationalization of firms been a subject of study for born globals. Choosing the destination economies for exports has also been a subject of scientific interest. Some studies have emphasized the role that geographical and psychic distances can play, particularly in terms of how any cultural differences existing between the country in which a born global firm is founded and the countries in which it decides to export may affect the internationalization process of new firms (
As a result of the significant positive influence that a greater number of born global firms have on an economy, which are not only active internationally, but also generate a series of profit spills in the domestic market (
This paper aims to evaluate the factors that determine the success of new Chilean firms supported by CORFO
While there is a wide literature examining the phenomenon of born global firms and the way public programs that support them work, there is less evidence that considers the inherent possible selection bias that exists when generating models that explain the characteristics and factors that determine a firm’s internationalization process. This bias would come from the fact that when one tries to measure a born global firm through variables such as the level of international sales or participation in foreign markets, it is not considered that these firms made a decision beforehand, which is to decide to participate in the international market. This previous decision, which is not random, generates a possible self-selection bias in the sample, that is, firms that have already decided to participate internationally. This must be corrected to reach more reliable estimates. The two-stage Probit method that we performed in this study is quite innovative and aims to give value to research.
According to the first Probit regression model results, it is demonstrated that there is indeed a selection bias in the sample. In the case of the sampled firms, all are defined as firms whose international focus is part of the core values. Nevertheless, the distances or differences with their export destination markets is not consistent. The findings suggest that new firms selling over a long psychic distance would be more likely to succeed in international markets than their peers exporting to nearby countries in the region. Choosing Asian, North American, and European markets is critical to growth and export success. In this sense, being global and not regional (not Latin America countries in this case) is essential to achieve export success. Considering the importance of psychic distances in explaining the success of the internationalization of new companies, we also developed a second Probit regression model in two stages, where the factors that influence the probability of deciding whether or not to sell at a high psychic distance are determined. The results of this second model show that, although there does not seem to be a selection bias that could affect the estimates, the fact of having received private capital in the domestic market has a negative impact on the decision to sell long distance, while having more experience in previous ventures has a positive and significant impact on this probability. Namely, raising capital in Chile fosters the growth of commercial activities in the region’s nearby markets over markets that are psychically distant. It would appear that the domestic investor prefers higher short term returns, although these may be less than the adventure of marketing products in distant markets, but where the probabilities of risk may be greater. In contrast, the past experience of entrepreneurs positively influences the choice of psychically distant markets, where the experience of creating companies, with successes or failures, is a fundamental resource for the international strategy of the born globals founders.
The findings described could be very important in supporting policy-making in Chile, or in countries of the region with a similar level of development, where the national strategy is oriented towards the large markets of Asia, North America and Europe. It is precisely these economies that require important products from the region, and the participation of new companies is essential.
The work is structured as follows. After this introduction, section two presents the literature review and research hypotheses. Section three presents the research methodology. Section four presents the results.
Section five presents the discussions of the study. A final section presents the findings of the study.
There is ample literature related to born globals companies and the internationalization process that underlies these firms. In this respect, there are studies that have tried to explain the behaviour and determinants that define a born global and differentiate it from a company that performs a gradual internationalization process, both in emerging and developed economies (
Smolarski and Kut (
Meanwhile, Cancino and Coronado (
In the same context of emerging economies, Dib, da Rocha and da Silva (
Other writers, in turn, have presented extensions to the born global phenomenon. One such case is the one that literature calls born again global (
On the other hand, in a quantitative analysis, Jantune et al. (
Other recent research has analysed the implications of geographical, cultural and psychic distances on the phenomenon of international business. Håkanson and Ambos (
Magnani, Zucchella and Floriani (
All the above could show that the factors determining the existence of born globals are multiple and there may be interactions between different variables, which may have different effects if they are presented together versus those that would be presented in a separate analysis. Such may be the case of psychic distances, which, on the one hand, could represent a barrier to accessing international markets (Upsala model hypothesis), but on the other hand, could also be an opportunity, especially when there is a strategic decision underlying the process of accessing international markets (
H1: Firms that decide to sell at a high psychic distance would have a better chance of success in the international market.
The decision to export over a long psychic distance, in turn, could be influenced by other additional factors besides the strategy, such as the entrepreneur’s previous experience or level of risk propensity . In this sense, an individual who has undertaken previous ventures would most likely have a lower risk propensity, greater knowledge of how markets work and more experience (
H2: Firms with entrepreneurs who have undertaken previous ventures would be more likely to participate in the international market at a high psychic distance.
The series of previous studies that aim to understand the characteristics of born globals business have not addressed the possible selection bias that may be present when working with truncated dependent variable samples. This could affect the true value of the effect of the analyzed variables.
The problem of selection bias can occur when we encounter samples that are not random, because the same individuals in the sample decided to participate, so there is a possibility that they have certain characteristics of a portion of the population, which do not necessarily represent the population as a whole (
In the case of the various born globals studies, there may be an inherent bias when trying to explain the performance of new firms in international markets, especially if they are supported by public programs where one of the filters is international market orientation. This may occur because work is being conducted with samples of firms that have previously decided to participate in foreign markets, that is, we only know the performance of firms which already participate in the international market, but we do not know the performance of firms that have not yet made such a decision. Consequently, the samples may not be random or representative of all the new companies, biasing the estimates, reaching erroneous conclusions.
Several papers have dealt with the problem of self-selection bias, which derive from different areas of study within economics and business (
When analyzing the determining factors of born global companies in Chile, the study of selection bias is fundamental. Hence the value of this research as the first case that analyzes the factors within a group of companies with international focus and manages to explain what export success and the choice of export destination markets are dependent on.
In order to conduct a quantitative analysis, the data provided by CORFO’s Entrepreneurship database in Chile was used. The database considers 6001 observations of projects that applied for CORFO entrepreneurship support programs between 2001 and 2018 and resources were allocated in the corresponding years. The advantage of this database is that it provides a follow up of the companies over time, which allows estimates to be made considering a base year and a common time frame.
Due to the fact that this study aims to study companies that could be characterized as born globals, only companies that received financing between 2012 and 2017 were taken into account, which, by definition of the programs considered within the database, fall into the category of small and medium enterprises (SMEs). Consequently, and considering the variables chosen for both models, the database included 563 observations for the first model and 197 observations for the second model.
Thus, the research method considered two different models. The first was a two-stage Probit regression model, also known as Heckprobit, which sought to test the first hypothesis. On the other hand, the second model, which was also carried out in two stages, sought to test the second hypothesis, according to which greater previous experience in ventures would determine a higher probability of venturing into a market of greater psychic distance.
Accordingly, as mentioned in the previous section, the proposed model seeks to correct any self-selection bias. In order to do this, a selection model was defined in the first stage. This model intends to explain the probability of a firm deciding to internationalize, which is a previous decision both to sell at a high psychic distance and to sell in international markets. In this line, it is necessary to find one, or more, variables that are related to the probability of internationalization, but that are not related to the probability of the firm’s success or the probability of selling at a high psychic distance. This variable is known as a selection variable. Precisely for this purpose, the variable "Program" was chosen as the selection variable. This variable represents the program from which the firm received support. Although CORFO aims to support enterprises that have a high degree of innovation per se, it is understood that its programs target companies with different approaches and degrees of innovation. The justification of this variable underlies part of the literature, which points out that within the variables that can influence the degree of internationalization, factors associated with business orientation can be found, such as the degree of innovation, proactivity and nature of risk (
The two statges model that seeks to correct selection bias can be represented as follows it is assumed that there is an underlying relationship between a set of independent variables and a non-observable latent variable linearly related to the variable of interest, which we define as Y*.
So we observe only a binary result, which can be represented through a Probit model by means of a standard normal distribution.
Where:
At the same time, a selection model is defined, which, in this case, seeks to explain the decision to internationalize.
Where Z is the matrix that contains the independent variables of the selection model and is the parameter vector to be estimated that is associated to the model. Similarlry, in this case we observe a binary result Q, which might be represented by a probit model as well. It can be noted that, since internationalizing is a previous decision, the dependent variable Y will be observed only if the following is known
Where
Consequently, in so far as
On the other hand, coefficients of the model were estimated using an optimization process. the function to maximize is the tipical log likelihood function of this type of models, which in this case is represented as follows:
Where
Table
Source: Author’s own.
Variables
Obs
Mean
S.D
Min
Max
Success
563
0.268
0.443
0
1
Diversity
563
0.369
0.483
0
1
Internationalize
563
0.517
0.500
0
1
National capital
563
0.320
0.467
0
1
Foreign capital
563
0.057
0.232
0
1
distancia
563
0.151
0.358
0
1
Nparticipants
563
2.947
1,183
1
10
Funding
563
28,925
15,953
1.964
60,000
Source: Author’s own.
Variables
Obs
Mean
S.D
Min
Max
Psychic distance
197
0.152
0.360
0
1
Previous entrepren.
197
0.924
0.266
0
1
Mentor
197
0.731
0.445
0
1
Internationalize
197
0.558
0.498
0
1
Private funding raising
197
0.046
0.209
0
1
Funding
197
31,107
17,135
3,750
60,000
Source: Author’s own.
Variable
Type
Description
Success
Dummy variable takes a value of 0 for no and 1 for yes. (dependent variable).
has the company sold and survived in 2017?
Funding
Continuous variable ranging from 1,964 to 60 million (in chilean coin).
Amount of money received from CORFO
Nparticipants
Continuous variable ranging from 1 to 10.
Number of participans
Internationalize
Dummy variable takes a value of 0 for no and 1 for yes. (dependent variable in selection model).
Has the enterprise been internationalized?
Diversity
Dummy variable takes a value of 0 for no and 1 for yes.
Has the entrepreneur team at least one person of different gender?
Domestic fundraising
Dummy variable takes a value of 0 for no and 1 for yes.
Has the company received private national funds?
International fundraising
Dummy variable takes a value of 0 for no and 1 for yes.
Has the company received private international funds?
Workers
Categorical variable. 1 if you do not have employees; 2 if you have between 1 and 3 employees; 3 if you have 4 or more employees.
size of the company
Accum domestic sales
Categorical variable. 1 if you do not have sales in 2017; 2 if you have sales between 1 - 5.000.000 CLP; 3 if you have sales between 5.000.001 - 20.000.000 CLP; 4 if you have sales between 20.000.001 - 50.000.000 CLP; 5 if you have sales greater than 50.000.000 CLP.
National sales level
Program
Categorical variable. 1 if you belong to “Others”; 2 for PRAE; 3 for SSAF Desarrollo; 4 for SSAF Innovación; 5 for SSAF Social.
Program that has received support
Sector
Categorical variable. 1 for Advertising; 2 for Biomedicine & biotech; 3 for Commerce; 4 for Education; 5 for Financial & business services; 6 for Fisheries & aquaculture; 7 for Food; 8 for Fruit, wine and hort; 9 for Health & pharmaceutical; 10 for Manufacture; 11 for Mining & metalworking; 12 for Others; 13 for Social; 14 for TCIE; 15 for TIC.
Industrial sector
Product type
Categorical variable. 1 for Hardware; 2 for tangible products; 3 for Service; 4 for Software.
Product category
Psycological distance
Dummy variable. takes a value of 0 for low (latin american countries) and 1 for high (Asian, North american and European countries).
Level of psychic distance
Source: Author’s own.
Variable
Type
Description
Psycological distance
Dummy variable. takes a value of 0 for low (latin american countries) and 1 for high (Asian, North american and European countries). (Dependent variable).
Level of psychic distance
Funding
Continuous variable ranging from 3,75 to 60 million (in chilean coin).
Amount of money received from CORFO
Previous entrepreurship
Dummy variable takes a value of 0 for no and 1 for yes.
Has at least one member made a previous entrepreneurship?
Mentor
Dummy variable takes a value of 0 for no and 1 for yes.
Has the company had a mentor or advisory?
Internationalize
Dummy variable takes a value of 0 for no and 1 for yes. (dependent variable in selection model).
Has the enterprise been internationalized?
Private fundraising
Dummy variable takes a value of 0 for no and 1 for yes.
Has the company received private funds?
The first logistic regression model in two stages seeks to explain the success of enterprises benefited by a CORFO program in the international market. The dependent variable "Successïs a binary variable and is measured through the sales level and the company’s ability to survive. Therefore, the Success variable takes the value 1 if the venture effectively achieved sales in 2017 in the international market and in turn managed to survive. If any of the two previous conditions (or both) is not met, the variable takes the value 0. A similar approach is taken by Cancino, Núñez and Merigó (
The second logistic regression model in two stages seeks to explain why enterprises benefited by a CORFO program decided to sell in the international market. The dependent variable "Psycological distanceïs a binary variable and represents the probability of selling at a high psychic distance. Therefore, the Psycological distance variable takes the value 1 if the venture has sales to Europe, North America or Asia-Oceania in 2017 and 0 if it does not. This is in line with Håkanson & Ambos (
In order to understand the variables which could be most important for ventures to succeed in international markets, a two-stage probit regression model was estimated. The results are shown in Table
Z-score indicates significance level as follows *** p<0.01, ** p<0.05, * p<0.1 For Rho is a Chi-Square test. Source: Author’s own.
Selection model
Coeff. Est
95% CI
Z
P-value
Internationalize
Program (base 1 = Others)
= 2, PRAE
-0.239***
(-0.348 - -0.131)
-4.307
0.000
= 3, SSAF Desarrollo
-0.411***
(-0.566 - -0.256)
-5.185
0.000
= 4, SSAF Innovacion
-0.097
(-0.218 - 0.023)
-1.587
0.113
= 5, SSAF Social
-0.386***
(-0.667 - -0.105)
-2.693
0.007
Rho
-0.659*
(-0.931 - 0.087)
3.11
0.077
Observations
563
First of all, from the defined selection model, it can be observed that the coefficient of the Rho parameter was significant. This suggests that there is indeed a selection bias in the sample and that the estimators obtained from the model presented in
Z-score indicates significance level as follows *** p<0.01, ** p<0.05, * p<0.1 Source: Author’s own.
Model
Coeff. Est
95% CI
Z
P-value
Success
Workers (base 1 = 0)
= 2, 1 to 3
0.011
(-0.101 - 0.124)
0.198
0.843
= 3, 4 to 10
0.065
(-0.077 - 0.208)
0.900
0.368
= 4, 11 or more
0.231**
(0.028 - 0.434)
2.226
0.026
Sector (base 1 = Advertising)
= 2, Biomedicine & biotech
-0.338***
(-0.586 - -0.090)
-2.669
0.008
= 3, Commerce
-0.147
(-0.465 - 0.172)
-0.903
0.366
= 4, Education
-0.031
(-0.339 - 0.276)
-0.199
0.843
= 5, Financial & business serv
0.018
(-0.278 - 0.313)
0.117
0.907
= 6, Fisheries & aquaculture
0.135
(-0.408 - 0.677)
0.487
0.626
= 7, Food
-0.057
(-0.342 - 0.228)
-0.392
0.695
= 8, Frut, wine and hort
0.126
(-0.255 - 0.508)
0.648
0.517
= 9, Health & pharmaceutical
0.037
(-0.296 - 0.370)
0.218
0.827
= 10, Manufacture
0.129
(-0.280 - 0.538)
0.618
0.537
= 11, Mining & metalworking
-0.338***
(-0.586 - -0.090)
-2.669
0.008
= 12, Others
0.006
(-0.260 - 0.273)
0.046
0.963
= 13, Social
-0.176
(-0.482 - 0.130)
-1.125
0.261
= 14, TCIE
-0.160
(-0.434 - 0.114)
-1.147
0.252
= 15, TIC
0.131
(-0.150 - 0.411)
0.914
0.361
Product type (base 2 = Tangible products)
= 1, Hardware
0.063
(-0.147 - 0.274)
0.587
0.557
= 3, Service
-0.043
(-0.179 - 0.093)
-0.623
0.533
= 4, Software
-0.095
(-0.227 - 0.036)
-1.417
0.157
Accum domestic sales (base 1 = 0 CLP)
= 2, 1−5.000.000
0.296***
(0.120 - 0.473)
3.286
0.001
= 3, 5
0.239***
(0.099 - 0.379)
3.347
0.001
= 4, 20
0.209***
(0.053 - 0.365)
2.625
0.009
= 5, $50.000.001 or more
0.320***
(0.200 - 0.439)
5.239
0.000
Diversity
-0.057
(-0.148 - 0.034)
-1.228
0.219
Nparticipants
0.020
(-0.019 - 0.060)
1.006
0.314
Funding
-0.000
(-0.003 - 0.003)
-0.005
0.996
Psychic distance
0.446***
(0.327 - 0.564)
7.361
0.000
Domestic fundraising
0.037
(-0.059 - 0.133)
0.759
0.448
International fundraising
0.243***
(0.069 - 0.418)
2.733
0.006
Observations
563
Based on the model presented in
Z-score indicates significance level as follows *** p<0.01, ** p<0.05, * p<0.1 For Rho is a Chi-Square test. Source: Author’s own.
Model
Coeff. Est
95% CI
Z
P-value
Psychic distance
Workers (base 1 = 0)
= 2, 1 to 3
0.002
(-0.063 - 0.068)
0.066
0.947
= 3, 4 or more
0.064
(-0.062 - 0.190)
0.999
0.318
Product type (base 1 = Hardware)
= 2, Physical product
0.034
(-0.186 - 0.254)
0.301
0.763
= 3, Service
-0.020
(-0.210 - 0.171)
-0.200
0.841
= 4, Software
-0.085
(-0.260 - 0.090)
-0.956
0.339
Previous entrepreneurship
0.621***
(0.296 - 0.946)
3.740
0.000
Funding
-0.001
(-0.003 - 0.002)
-0.573
0.567
Mentor
-0.021
(-0.105 - 0.062)
-0.496
0.620
Private fundraising
-0.651***
(-0.970 - -0.332)
-4.001
0.000
Selection model
Internationalize
Program (base 1 = Others)
= 2, PRAE
-0.337***
(-0.536 - -0.138)
-3.322
0.001
= 3, SSAF Desarrollo
-0.533***
(-0.901 - -0.166)
-2.842
0.004
= 4, SSAF Innovación
-0.306**
(-0.551 - -0.060)
-2.440
0.015
= 5, SSAF Social
-0.351
(-0.802 - 0.100)
-1.525
0.127
Rho
0.523
(-0.861 - 0.985)
0.370
0.544
Observations
197
As for the second model, in
Quite often entrepreneurial literature talks about different types of ventures. It clasiffies entrepreneurships depending on their features and the proccess they carry out to boost their activities, either in a domestic level or in an international level. In this respect, the last decades evidence has shown a special type of companies, which are characterized by a accelerated internationalization proccess, well-known as born globals. This evidence goes in the oposite direction to the classic internationalization Üppsala"model.
Despite the fact there are plenty of studies who try to explain the features to define born globals existance, which might be associated with financing received, geografical or psicological distance, previous experience, among other variables, not too many studies have analized what are the determinants of success for these kind of firms. Under the reasonable assumption born globals might behave in a different way than ventures with a slow or more traditional internationalization proccess, it appears not only proper, but also neccesary study those determinants of success to facilitate the best decisions by policymakers. Besides the above, due controls must be taken to prevent possibles estimation biases that may lead to ambiguous results.
Enterprises that venture into selling in markets with a high psychic distance have greater chances of success in the international market. This result confirms hypothesis 1 and may imply that the decision by firms to sell at greater psychic distances would be the result of a strategic decision arising from an identified opportunity in the market, which would be aligned with the competitive advantages of the organization. This could explain the greater probability of success for these firms when they internationalize.
In the Chilean economy, the markets located close to the domestic market, that is, the Latin American markets, are not only close in terms of the products and services they commercialize, but also in terms of development levels. On the other hand, the attractive markets of the USA, Canada, Asian countries and Europe are all psychically distant, and these markets require Chilean products worldwide, being able to pay more for our products. Hence, exporting to psychically distant countries has greater value for our companies, and allows them to be more successful. Our productive promotion programs should not only promote business internationalization, but also channel efforts so that our entrepreneurs visualize their growth opportunities in the most important international markets, which are all psychically distant (
Similarly, previous experience in ventures seems to be a determining factor in deciding to sell at a high psychic distance. This result confirms hypothesis 2 and is consistent with the literature, which indicates that previous experience in the international market and risk propensity would be positively related to the decision to internationalize and access distant markets. Although the variable used does not differentiate between previous national or international experience, it can still be a proxy of both the effect of this variable and the risk propensity.
Thereby, the main results of this research, show that international psicologically long distant markets seem to be more atractive for ventures who are looking for international success. It means entrepreneurships with international presence, should try look for developed markets, where they can find a greater demand. However, entrepreneur features could be crucial into this natural internationalization proccess, where the results suggest more experienced entrepreneur would be more likely to venture into psychically more distant markets. Thus, previous experience or any obervable variable that might explain the entrepreneurial propensity, would be a good sign, not only for the venture itself, but also for who must decide where to place resources to support this type of companies.
In addition, an interesting finding is linked to accumulated domestic sales, which would be strongly related to the probability of success, despite having controlled for firm size. At first glance this result may seem counterintuitive, considering that it contradicts the theory of born globals, according to which born global companies are firms that rapidly move to international markets without the need to have any background in the local market. However, as noted above, some authors have given an extension to the phenomenon of born globals, by referring to companies that while behaving like a born global in the sense of rapid internationalization, have previously had experience in the domestic market, which they have named as born again global (
Finally, when studying the performance of firms in the international market, it was confirmed that caution should be exercised with regard to the possible selection bias in the sample that may lead to unreliable results (
This study intends to explain the phenomenon of the born global in the context of Chilean ventures, particularly those ventures that have been supported by CORFO’s public programs. The objective was to find factors that could be related to the success of new Chilean companies in the international market, in order to understand the behaviour of these types of companies and how such behaviour may resemble or differ from that exposed by literature and international experience.
In order to do this, we tried to consider variables related to the characteristics of the company and variables related to the operating context, as well as possible problems related to the sample and the inherent biases it might have. Consequently, the contribution of this work is twofold: on the one hand, it is methodological, according to which an attempt was made to correct the possible selection bias that exists when working with truncated samples that represent a part of the population. On the other hand, this paper contributes to better understanding the phenomenon of small and medium enterprises internationalization in the context of emerging economies.
From the findings obtained, we also expect to contribute to the extension of the study of born globals in the reality of developing countries. As a result, it can be observed that Chilean companies supported by CORFO would adopt the same behaviour as born again globals, where variables such as previous experience in local markets can be important when defining success in the current internationalization of a business. At the same time, ventures that decide to sell at a high psychic distance, would provide a favorable message that a strategic move would increase the chances of success, especially when choosing the markets of Asia, North America and Europe as the destination of our exports. In this line, such a decision would also be related to the entrepreneur’s risk tolerance.
This may be very important both for future public policies when making decisions related to promoting innovation and economic development, as well as for future research, which should take into account potential problems associated with the samples they use when generating models that explain firm performance within a specific context. On the one hand, policymakers or organizations as CORFO might use this results to guide his decision and improve resource allocation when they try to foster international entreprenurships participation. On the other hand, some limitations should be considered when analizing the results. First of all, Psychic Distance variable was created under the assumption every market outside the continent might be considered psychically distant from any chilean venture. Further that, this research consider cross section data, overlooking possible endogeneity between variables as Psychic Distance and Success. Thus, it is unknowing if ventures which export to psychically distant markets are more successful or successful ventures has propensity to participate in psychically distant markets.
This study aims to contribute to international born global literature, the results might be interesting to undertand the chacaracteristics of born global in an emerging economies context. It is proposed for future research to deepen in the secondaries findings of this work, which would suggest born globals in Chile would tend to behave as born again globals and deal with possible endogeneity problems usind panel data.
Chilean Corporation for the Promotion of Production
Cut-off considered in this model was 50% of probability or more to define the dependent variables as 1. Source: Author’s own.
True
Prediction (model)
Success
Not Success
Total
1 (Success)
123
138
261
0 (Not Success)
28
274
302
Total
151
412
563
Sensitivity
Pr(1|Success)
81.46%
Specificity
Pr(0|Not Success)
66.50%
Misclassification
29.48%
Acurracy
70.52%
Cut-off considered in this model was 50% of probability or more to define the dependent variables as 1. Source: Author’s own.
True
Prediction (model)
Psychic distance
Not Psychic distance
Total
1 (Psychic distance)
14
19
33
0 (Not Psychic distance)
37
127
164
Total
51
146
Sensitivity
Pr(1| Psychic distance)
27.45%
Specificity
Pr(0| Not Psychic distance)
86.99%
Misclassification
28.43%
Acurracy
71.57%



