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Given the growing number of immigrant entrepreneurs in the USA, the purpose of this paper is to better understand the behaviors of this subgroup of entrepreneurs. Specifically, the paper aims to understand the unique challenges faced by immigrant entrepreneurs and how environmental challenges affect decisions to grow or abandon their ventures.

To make the theoretical arguments in this conceptual paper, the authors draw on the theory of planned behavior developed by Ajzen (1985), which suggests that a person’s behavior is predicted by their intention, and intentions are predicted by one’s attitudes, subjective norm and perceived behavioral control.

The paper provides theoretical insights on the effect of demands of immigration on the intentions of immigrant entrepreneurs to engage in three specific entrepreneurial behaviors: new venture formation, growth and abandonment. The authors propose that immigrant entrepreneurs deal with increased stress yet continue to maintain higher intentions to found new ventures compared to non-immigrants. Contrastingly, the authors also propose that the stress and obstacles immigrant entrepreneurs face reduce their intentions to grow their firms and increase their intentions to abandon their firms. The authors also explore entrepreneurial resilience as a possible moderating factor between stress and entrepreneurial intentions of immigrant entrepreneurs.

First, the authors do not distinguish between immigrants from different nations or parts of the world or having different backgrounds. Second, the authors do not fully develop or incorporate the element of coping. Also, our paper is limited to behaviors of immigrant entrepreneurs with micro- and small-businesses.

Venture capitalists could benefit from empirical results of these propositions as funding decisions may need to include consideration of the proposed effects of stress and demands of immigration.

This paper meets an identified need to examine the effects of immigrant-specific issues such as the demands of immigration on the behaviors of this growing group of entrepreneurs.

This study examines the importance of social network size and structural holes within the network to the entrepreneurial opportunity recognition process.

The purpose of this viewpoint paper is to bring attention to the declining rate of entrepreneurship, its effect on the broader economy, the need for public policy solutions and to offer several such solutions. Government intervention is needed to address the stagnation trends discussed throughout the paper. It is up to academic scholars, researchers and think tanks to make government leaders aware of the trends and possible solutions.

A literature review was performed and the need to increase entrepreneurship through public policies was discussed.

The current ten-year economic expansion is suffering from secular stagnation as a result of diminishing new venture creation and slower adoption of technological innovations. Economic policies are heavily tilted toward large, established firms even as new entrepreneurial ventures have greater impact on job creation. The importance of using public policies to spur economic growth through greater opportunity-based entrepreneurship is discussed. Unique tax policy changes are suggested as well as a proposed national business plan competition.

This paper makes a contribution to the entrepreneurship and public policy literature by discussing how the declining rate of entrepreneurship and slower adoption of new technology are related to the relatively tepid pace of economic expansion seen over the last decade in the US. The proposed policies focus on increasing new ventures based on opportunity-based entrepreneurship, and it is hoped that this will help in the development of other policies and spur new lines of research and knowledge that lead to increased economic growth.

This article discusses the statistics and trends surrounding the rapidly aging U.S. population. Older workers will make up an increasing portion of the workforce and these individuals represent an important growing demographic target market. While much has been written about the aging population and the potential for entrepreneurs to target this growing market, little research has been conducted on older entrepreneurs. They are a unique group and this article provides empirical results and discussion about the differences and importance of older entrepreneurs to the economy and as contributors to American society. Practical implications and future research directions are discussed.

The purpose of this paper is to discuss the factors impacting successful Iranian women entrepreneurs. The factors include: self‐efficacy, risk taking, negative stereotypes, and societal culture and traditions.

The paper utilizes interviews conducted with a sample of successful Iranian women entrepreneurs and examines the challenges they had to overcome, as well as their success factors.

Challenges caused by the negative stereotypes and traditions of Iranian society are barriers successful Iranian women entrepreneurs had to overcome. The possession of personal internal factors such as high levels of self‐efficacy and risk taking positively impacted these women's success.

The interviews were not conducted by the authors and were published in Farsi, so there may be interpretation and/or translation issues. However, there are few empirical studies on Iranian women entrepreneurs, and this research is one of the first that contributes to a better understanding of this important group of entrepreneurs. Further empirical research is needed to advance knowledge of Iranian women entrepreneurs.

The paper contributes to the scarce knowledge about Iranian women entrepreneurship, by introducing readers to this unique subgroup of entrepreneurs. It represents a starting point to an important area of research.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

There has been significant growth in entrepreneurship research over the past several decades. Yet with all of the knowledge gained and presumably improved training of would-be entrepreneurs, firm failure rates remain persistently high. It is argued here that the historical and continued research focus on successful entrepreneurs has limited the field. Entrepreneurs are often considered to possess uniquely positive capabilities relative to the general population; this paper explores the possibility that the majority of entrepreneurs suffer from overconfidence and that this leads most entrepreneurs to make “bad bets” that result in underperformance and firm failure.

In this paper, a qualitative review of the literature was performed.

Based on the literature review, three formal propositions are developed. The first two suggest that the majority of entrepreneurs are overconfident in their personal capabilities and the prospects for their new ventures. It is then proposed that this overconfidence leads to errors in judgment that results in financial underperformance and failure found among most new ventures.

This paper makes an important contribution to the entrepreneurship literature by arguing that overconfidence negatively impacts pre-founding decision-making such that entrepreneurs pursue flawed opportunities. Studying the issues raised in this paper may spur new lines of research and knowledge that lead to better entrepreneurial outcomes.

In a volatile agricultural postharvest market, producers require more personalized information about market dynamics for informed decisions on the marketed surplus. However, this adaptive strategy fails to benefit them if the selection of a computational price predictive model to disseminate information on the market outlook is not efficient, and the associated risk of perishability, and storage cost factor are not assumed against the seemingly favourable market behaviour. Consequently, the decision of whether to store or sell at the time of crop harvest is a perennial dilemma to solve. With the intent of addressing this challenge for agricultural producers, the study is focused on designing an agricultural decision support system (ADSS) to suggest a favourable marketing strategy to crop producers.

The present study is guided by an eclectic theoretical perspective from supply chain literature that included agency theory, transaction cost theory, organizational information processing theory and opportunity cost theory in revenue risk management. The paper models a structured iterative algorithmic framework that leverages the forecasting capacity of different time series and machine learning models, considering the effect of influencing factors on agricultural price movement for better forecasting predictability against market variability or dynamics. It also attempts to formulate an integrated risk management framework for effective sales planning decisions that factors in the associated costs of storage, rental and physical loss until the surplus is held for expected returns.

Empirical demonstration of the model was simulated on the dynamic markets of tomatoes, onions and potatoes in a north Indian region. The study results endorse that farmer-centric post-harvest information intelligence assists crop producers in the strategic sales planning of their produce, and also vigorously promotes that the effectiveness of decision making is contingent upon the selection of the best predictive model for every future market event.

As a policy implication, the proposed ADSS addresses the pressing need for a robust marketing support system for the socio-economic welfare of farming communities grappling with distress sales, and low remunerative returns.

Based on the extant literature studied, there is no such study that pays personalized attention to agricultural producers, enabling them to make a profitable sales decision against the volatile post-harvest market scenario. The present research is an attempt to fill that gap with the scope of addressing crop producer's ubiquitous dilemma of whether to sell or store at the time of harvesting. Besides, an eclectic and iterative style of predictive modelling has also a limited implication in the agricultural supply chain based on the literature; however, it is found to be a more efficient practice to function in a dynamic market outlook.

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains features to help the reader to retrieve relevant literature from MCB University Press' considerable output. Each entry within has been indexed according to author(s) and the Fifth Edition of the SCIMP/SCAMP Thesaurus. The latter thus provides a full subject index to facilitate rapid retrieval. Each article or book is assigned its own unique number and this is used in both the subject and author index. This Volume indexes 29 journals indicating the depth, coverage and expansion of MCB's portfolio.