New Entrepreneurship in Urban Diasporas in our Modern World

ABSTRACT: Entrepreneurship among migrants – often called new, migrant or ethnic entrepreneurship – has over the past years become a significant component of the urban economy in many developed countries. Migrant entrepreneurship has a considerable welfare enhancing impact on the city, notably a contribution to innovation and growth, creation of new jobs for less favoured population groups, advancement of benefits from cultural diversity, and reinforcement of economic opportunities related to international connectivity. The present paper aims to investigate the backgrounds of migrant entrepreneurship in large Dutch cities, in particular, the critical success factors of business performance of these entrepreneurs in relation to their ethnic background, their levels of skill, and other specific and general contextual factors. To address the drivers of break-out strategies for new markets, a sample of second-generation Moroccan entrepreneurs is extensively interviewed to extract detailed information at a micro business level. The wealth of qualitative information on both input factors and output (performance) achievements is next systematically coded in a qualitative survey table which is converted into a format that is suitable for application of a rough set analysis. This is an artificial intelligence technique that is able to extract and identify the set of combinations of different drivers that altogether make up for a final outcome. The results show that longer stay in the host country, male gender, family network support and education of the entrepreneurs concerned are critical variables for the business performance of these urban diaspora entrepreneurs. KEYWORDS: Migrant entrepreneurship, break-out strategies, change agents, second-generation migrant entrepreneurs, urban economy, innovation, cultural diversity, international connectivity, business performance, rough set analysis, urban diaspora entreprene

Personal factors, entrepreneurial intention, and entrepreneurial status:A multinational study in three institutional environments

Based on the person-entrepreneurship fit perspective, this study examines the role of personal factors, including broad personality traits (openness, extraversion, emotional stability, and conscientiousness), narrow traits (risk-taking propensity, innovativeness, and proactiveness), and personal ability (emotional intelligence) for entrepreneurial intention and status. In this study, two samples are used with entrepreneurial intentions being analyzed among university business students and entrepreneurial status being analyzed by surveying entrepreneurs versus employees. We analyze findings in three different institutional environments (Germany, Russia, and the USA) to also identify potential effects stemming from country context. Therefore, this study offers findings for a (i) comprehensive set of personal factors on (ii) different outcomes in the entrepreneurial process in (iii) different countries. The results suggest that the role of broad personality traits for entrepreneurial outcomes is highly contextual. Also, the role of narrow traits shows some contextuality for which further theorizing is promoted-for instance, while risk-taking propensity seems to be a trait of relevance in all contexts, innovativeness and proactiveness are of different relevance in the different institutional environments. Moreover, the narrow traits that impact entrepreneurial intention and status differ considerably-for instance, innovation is of special relevance for entrepreneurial status, but less important for entrepreneurial intentions. Hence, this study contributes to our understanding not only of individual personal factors contributing to entrepreneurial intention and status but also to understanding which factors overlap for individuals who intend to start a new business and those that do so

Supporting decision making process with "Ideal" software agents: what do business executives want?

According to Simon’s (1977) decision making theory, intelligence is the first and most important phase in the decision making process. With the escalation of information resources available to business executives, it is becoming imperative to explore the potential and challenges of using agent-based systems to support the intelligence phase of decision-making. This research examines UK executives’ perceptions of using agent-based support systems and the criteria for design and development of their “ideal” intelligent software agents. The study adopted an inductive approach using focus groups to generate a preliminary set of design criteria of “ideal” agents. It then followed a deductive approach using semi-structured interviews to validate and enhance the criteria. This qualitative research has generated unique insights into executives’ perceptions of the design and use of agent-based support systems. The systematic content analysis of qualitative data led to the proposal and validation of design criteria at three levels. The findings revealed the most desirable criteria for agent based support systems from the end users’ point view. The design criteria can be used not only to guide intelligent agent system design but also system evaluation

Managing in an economic crisis: The role of market orientation in an international law firm

This research paper contributes to the understanding of the relationship between market orientation and performance in the context of a law firm during a time of economic crisis. The contribution is twofold, adding to the fairly limited research on market orientation within law firms, and to the limited research on the role of market orientation in times of economic crisis. The findings, from the questionnaire survey and semi-structured interviews within practice groups of a large multinational law firm, conclude that market orientation is important during an economic crisis. Those practice groups with higher market orientation scores withstand the increased turbulence and outperform those practice groups with lower market orientation scores

A comparative study of forecasting container throughput through time series analysis

This paper shows different techniques used in the operational research to encounter with forecasting the total container throughput handling. Each techniques approached has its objective and constraints regarding to the research problem. The container throughput is responsible for large investments in port infrastructure development as the aims is to established a sufficiently accurate forecasting decision support system since they try to follow the global trends in the optimization of port operations and facilities

The organisation of sociality: a manifesto for a new science of multi-agent systems

In this paper, we pose and motivate a challenge, namely the need for a new science of multi-agent systems. We propose that this new science should be grounded, theoretically on a richer conception of sociality, and methodologically on the extensive use of computational modelling for real-world applications and social simulations. Here, the steps we set forth towards meeting that challenge are mainly theoretical. In this respect, we provide a new model of multi-agent systems that reflects a fully explicated conception of cognition, both at the individual and the collective level. Finally, the mechanisms and principles underpinning the model will be examined with particular emphasis on the contributions provided by contemporary organisation theory

Agile Requirements Engineering: A systematic literature review

Nowadays, Agile Software Development (ASD) is used to cope with increasing complexity in system development. Hybrid development models, with the integration of User-Centered Design (UCD), are applied with the aim to deliver competitive products with a suitable User Experience (UX). Therefore, stakeholder and user involvement during Requirements Engineering (RE) are essential in order to establish a collaborative environment with constant feedback loops. The aim of this study is to capture the current state of the art of the literature related to Agile RE with focus on stakeholder and user involvement. In particular, we investigate what approaches exist to involve stakeholder in the process, which methodologies are commonly used to present the user perspective and how requirements management is been carried out. We conduct a Systematic Literature Review (SLR) with an extensive quality assessment of the included studies. We identified 27 relevant papers. After analyzing them in detail, we derive deep insights to the following aspects of Agile RE: stakeholder and user involvement, data gathering, user perspective, integrated methodologies, shared understanding, artifacts, documentation and Non-Functional Requirements (NFR). Agile RE is a complex research field with cross-functional influences. This study will contribute to the software development body of knowledge by assessing the involvement of stakeholder and user in Agile RE, providing methodologies that make ASD more human-centric and giving an overview of requirements management in ASD.Ministerio de Economía y Competitividad TIN2013-46928-C3-3-RMinisterio de Economía y Competitividad TIN2015-71938-RED

Big data analytics:Computational intelligence techniques and application areas

Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment