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Education has been shown to have myriad effects on people, from increasing their incomes to changing their views of the world. In the area of entrepreneurship, education creates opportunities and increases the rate of entrepreneurial activity. This study explores educationʼs effects on the immigrant entrepreneurship development processes and outcomes in the context of Korean-Americans by comparing a national sample of Korean-Americans with differing amounts of education. The sample is part of the National Minority Business Owners Surveys (NMBOS) carried out by the Lawrence N. Field Center for Entrepreneurship at Baruch College between 2003 and 2005. The authors hypothesize that high-education Korean-Americans will have larger and more successful businesses, have more varying types of businesses, and follow differing paths to business formation. In addition, the authors hypothesize that motivations, goals, and attitudes toward their businesses, families, and their lives generally will be different. Among other things, confidence and level of satisfaction with their business will be higher for the high-education group. The study finds that while the low- and high-education groups vary in their types of businesses, the paths followed into those businesses, and the size of their businesses, they are very similar as to their attitudes, motivations, and family interactions. Implications for future research are discussed.

This research provides some evidence by the vine copula approach, suggesting the significant and symmetric causal relation between subsections of Baltic Exchange and hence concluding that investing in different indexes, which is currently a risk diversification system, is not a correct risk reduction strategy.

The daily observations of Baltic Capesize Index (BCI), Baltic Handysize Index (BHSI), Baltic Dirty Tanker Index (BDTI) and Baltic LNG Tanker Index (BLNG) over an eight-year period have been used. After collecting data, calculating the return and estimating the marginal distribution of return rates for each of the indexes applying asymmetric power generalized autoregressive conditional heteroskedasticity and autoregressive moving average (APGARCH-ARMA), and with the assumption of skew student's t-distribution, the dependence of Baltic indexes was modeled based on Vine-R structures.

A positive and symmetrical correlation was observed between the study groups. High and low tail dependence is observed between all four indexes. In other words, the sector business groups associated with each of these indexes react similarly to the extreme events of other groups. The BHSI has a pivotal role in examining the dependency structure of Baltic Exchange indexes. That is, in addition to the direct dependence of Baltic groups, the dependence of each group on the BHSI can transmit accidents and shocks to other groups.

Since the Baltic Exchange indexes are tradable, these findings have implications for portfolio design and hedging strategies for investors in shipping markets.

Vine copula structures proves the causal relationship between different Baltic Exchange indexes, which are derived from different types of markets.

The term competitive has always been used as a comparison to provide a distinction between two or more things. Southeast Asia handles billions of tonnes of global seaborne trade annually. Thus, there is a necessity to look in detail at the performance indicators of port competitiveness on the basis of port performance.

This study has categorized 18 Malaysian bulk terminals into two different classes based on various performance indicators. The distinctions used a hierarchical cluster analysis by arranging the performance indicators. The technique is among the most popular techniques used to form homogeneous groups of entities or objects.

In this study, it was found that two classes were classified as being competitive from the homogeneous groups created. Based on the performance metrics chosen, Group 1 had the lowest score and Group 2 had the highest score. It was found that the Westport and Northport of Klang Port had the best performance of all.

A major challenge for the study is the lack of variables relevant to other port competitiveness requirements, and a detailed research study is needed to gather information on the satisfaction of terminal customers, the paperwork involved, the accuracy and consistency of tariffs paid, the level of safety at sea and on land and environmental protection around the facility site.

The study on ports has been given less attention among researchers in this particular area. Therefore, this paper focuses on the port terminals in Malaysia and compares port performance metrics between ports to determine their competitiveness.

To achieve a high container handling efficiency at transshipment hub ports, there are a variety of scheduling problem as ship-to-berth assignment (BAP), container-to-yard arrangement (YAP), etc. As it is difficult to acquire the actual data of an existing terminal under various circumstances, this study aims to develop the time estimation model of container handling. Additionally, to achieve an efficient handling of containers at the yard, this study proposes the way to optimize the yard arrangement along with the berth allocation simultaneously by using estimated handling time.

To obtain the handling time based on various situations of the terminal operated, the discrete simulation model of container handling is constructed. The model to estimate the handling time of a quay crane assigned to a relevant ship by multiple regression analysis is developed. To find a feasible solution to minimize the total service time which includes YAP and BAP simultaneously, a genetic algorithm based on heuristics is developed.

The proposed regression model has high performance to estimate the time spent of container handling. In the total service time, the proposed approach outperformed the existing 2-step process approach.

As it is difficult to acquire the actual information of an existing marine terminal under various circumstances, the paper contains a regression model to estimate the container handling time based on simulation data, and the regression model is used in an optimization model to minimize the ship turnaround time.

TransLighting Group, Inc. consists of two companies all centered around the transportation industry. The original company, TransLighting, was started in 1962 by Henry Phillips. Henry was an engineer with Ford Motor Company specializing in braking wiring systems. Over an eight-year period, he designed and patented several wiring and harness systems that are used in cars as of the 2006 model year. Back in the 1950s Henry had the opportunity to learn about and use LED technology. He even came up with a process using this technology to increase brake light visibility (i.e., the third or middle brake light on most cars). In June 1961 over dinner with another engineering buddy, Bill Acken, Bill figured that they could use this same technology to display roadside messages for motorists. Following license approval from Ford, Bill and Henry started TransLighting in White Lake, Michigan.

In practice and in theory, as the findings of this research reveal, the Iranian business community is a new and different, nonconforming immigrant group in the United States. This study explores certain aspects of the Iranian business community in light of a survey done by the author.The article compares and contrasts findings of the survey with those of existing literature that has been written about the business communities of various ethnic groups.The results of this study disagree with the literature in most areas. One difference is that the Iranian business community in the United States does not fit into the general understanding that ethnic groups have economic enclaves and niches. They are dispersed in all 48 contiguous states, and their businesses cover practically any possible line of entrepreneurial activity.These entrepreneurs are highly educated, and 76 percent of them are between 30 and 50 years old.Among them, 84 percent are male, a typical American profile.

Immigrant groups often pursue entrepreneurial endeavors in their new home country. Even though both immigrant entrepreneurship and organizational identity have received scholarly attention, there has been little systematic exploration of identity strategies pursued by immigrant-owned organizations. In this article, we develop a theoretical framework that draws on the concepts of liability of foreignness and social identity theory in the context of immigrant entrepreneurship. Our framework explores how immigrant entrepreneurs may negotiate identities for their firms through the development of specific identity strategies that confirm or underplay their national/ethnic identities in order to survive in their immediate environment. We develop a model that shows how these confirmations or underplaying strategies work both for firms that have an individualistic entrepreneurial orientation, as well as those with a collective/associative entrepreneurial orientation. We also suggest two contextual moderators to this relationship: (1) the image of the founder's country of origin, and (2) the presence of immigrant networks in the host country, which may alter the effectiveness of identity strategies in terms of organizational mortality outcomes.

A recent paper by Morris et al. (2013b) presented evidence that students can develop entrepreneurial competencies through international fieldwork. This paper explores whether the same results can be developed in a traditional classroom setting.

The study is a systematic replication of the Morris study with the addition of a matched pair, quasi-experimental design, with a self-replication. Data were collected on 13 self-reported competencies at the start of a semester from two groups using the Morris instrument. The treatment group was exposed to a curriculum designed to teach entrepreneurial competencies, and both groups were re-surveyed at the end of the semester. The process was then repeated with a different cohort, one year later, to replicate the initial study.

Five competencies saw significant increases in the first treatment group. However, only three of these competencies increased more in the treatment group than the control group. In the replication study, only one competency was significantly higher in the treatment group, and that competency was not one of the original three.

Educators and policymakers should select a curriculum that is valid and reliable. Entrepreneurship educators and policymaker should devote more time to evaluating the effectiveness of different pedagogical techniques for improving entrepreneurial competencies.

To the best of our knowledge, this is one of the first studies in entrepreneurship education to undertake a matched pair, quasi-experimental design with an in-study replication. The results indicate that serious inferential errors arise if simpler designs are used, even though such designs are the norm in entrepreneurship research.

The immigrant entrepreneurship literature indicates that immigrant entrepreneurs reap numerous benefits from their co-ethnic communities℉ social capital. These benefits, however, often come at a price because scholars note the potential for this community social capital to impose limitations on the entrepreneurs. While the literature largely focuses on the benefits of social capital, there is no research on what motivates the immigrant entrepreneurs to engage with their co-ethnic community in terms of contributing to, and utilizing, their co-ethnic communities℉ social capital, and the consequences these may have on their enterprises. Addressing this gap in the literature is important in the development of successful immigrant enterprises. Thus, based on a model posited by Portes and Sensenbrenner (1993), we suggest that immigrant entrepreneurs℉ motivations will influence their use of, and contributions to, co-ethnic community social capital, impacting, in turn, business success. We contribute to both the immigrant entrepreneurship and social capital research through exploring how entrepreneurs℉ motives, with respect to their co-ethnic communities℉ social capital, influence business success.

This paper aims to examine whether changing the clustering of countries within a United States Combatant Command (COCOM) area of responsibility promotes improved forecasting of conflict.

In this paper statistical learning methods are used to create new country clusters that are then used in a comparative analysis of model-based conflict prediction.

In this study a reorganization of the countries assigned to specific areas of responsibility are shown to provide improvements in the ability of models to predict conflict.

The study is based on actual historical data and is purely data driven.

The study demonstrates the utility of the analytical methodology but carries not implementation recommendations.

This is the first study to use the statistical methods employed to not only investigate the re-clustering of countries but more importantly the impact of that change on analytical predictions.