title: International entrepreneurship: A critical analysis of studies in the past two decades and future directions for research

authors: Peiris, Indujeeva K.

subjects: Born global

abstract: International entrepreneurship (IE) is an emerging field with a rapidly growing body of knowledge. This paper examines gaps, issues and trends of the IE in the last two decades. First, it suggests an integrative framework based on international business, entrepreneurship, strategic management, social network and marketing theories. The suggested model highlights the significant role played by the entrepreneur/team, firm and network resources that act as antecedents to international opportunity development and value innovation. Second, it suggests four typologies of firms (born global, enduring global, early exporter and mature exporter) that can be studied under the IE theme. Finally, we discuss future research directions.

text: International entrepreneurship: A critical analysis of studies in the past two decades and future directions for research International entrepreneurship (IE) is an emerging field with a rapidly growing body of knowledge. This paper examines gaps, issues and trends of the IE in the last two decades. First, it suggests an integrative framework based on international business, entrepreneurship, strategic management, social network and marketing theories. The suggested model highlights the significant role played by the entrepreneur/team, firm and network resources that act as antecedents to international opportunity development and value innovation. Second, it suggests four typologies of firms (born global, enduring global, early exporter and mature exporter) that can be studied under the IE theme. Finally, we discuss future research directions.

year: 2012

title: Teaching agents to learn: from user study to implementation

authors: Maulsby, David

subjects: Machine learning

abstract: Graphical user interfaces have helped center computer use on viewing and editing, rather than on programming. Yet the need for end-user programming continues to grow. Software developers have responded to the demand with a barrage of customizable applications and operating systems. But the learning curve associated with a high level of customizability-even in GUI-based operating systems-often prevents users from easily modifying their software. Ironically, the question has become, "What is the easiest way for end users to program?" Perhaps the best way to customize a program, given current interface and software design, is for users to annotate tasks-verbally or via the keyboard-as they are executing them. Experiments have shown that users can "teach" a computer most easily by demonstrating a desired behavior. But the teaching approach raises new questions about how the system, as a learning machine, will correlate, generalize, and disambiguate a user's instructions.
 To understand how best to create a system that can learn, the authors conducted an experiment in which users attempt to train an intelligent agent to edit a bibliography. Armed with the results of these experiments, the authors implemented an interactive machine learning system, which they call Configurable Instructible Machine Architecture. Designed to acquire behavior concepts from few examples, Cima keeps users informed and allows them to influence the course of learning. Programming by demonstration reduces boring, repetitive work. Perhaps the most important lesson the authors learned is the value of involving users in the design process. By testing and critiquing their design ideas, users keep the designers focused on their objective: agents that make computer-based work more productive and more enjoyable.

text: Teaching agents to learn: from user study to implementation Graphical user interfaces have helped center computer use on viewing and editing, rather than on programming. Yet the need for end-user programming continues to grow. Software developers have responded to the demand with a barrage of customizable applications and operating systems. But the learning curve associated with a high level of customizability-even in GUI-based operating systems-often prevents users from easily modifying their software. Ironically, the question has become, "What is the easiest way for end users to program?" Perhaps the best way to customize a program, given current interface and software design, is for users to annotate tasks-verbally or via the keyboard-as they are executing them. Experiments have shown that users can "teach" a computer most easily by demonstrating a desired behavior. But the teaching approach raises new questions about how the system, as a learning machine, will correlate, generalize, and disambiguate a user's instructions.
 To understand how best to create a system that can learn, the authors conducted an experiment in which users attempt to train an intelligent agent to edit a bibliography. Armed with the results of these experiments, the authors implemented an interactive machine learning system, which they call Configurable Instructible Machine Architecture. Designed to acquire behavior concepts from few examples, Cima keeps users informed and allows them to influence the course of learning. Programming by demonstration reduces boring, repetitive work. Perhaps the most important lesson the authors learned is the value of involving users in the design process. By testing and critiquing their design ideas, users keep the designers focused on their objective: agents that make computer-based work more productive and more enjoyable.

year: 1997-11-01

title: Representations of diversity in the revised New Zealand PictureBook Collection

authors: Daly, Nicola

subjects: picturebooks

abstract: Collections of children’s literature are used for a range of reasons including preservation, record keeping, and more recently the encouragement of intercultural understanding. Both the signifi- cance of learning about other cultures and the importance of children seeing themselves reflected in the books that they read have been discussed extensively. In 2010, the New Zealand PictureBook Collection (NZPBC) was developed in order to create a resource that reflected New Zealand national identity. In 2015 the NZPBC was revised and this article presents a visual and textual analysis of the diversity present in the sixty books nomi- nated through the lens of critical multicultural analysis, using four variables. Findings indicate considerable diversity is present in the collection in terms of representations of ethnicity and family; less so for representations of disability and languages.

text: Representations of diversity in the revised New Zealand PictureBook Collection Collections of children’s literature are used for a range of reasons including preservation, record keeping, and more recently the encouragement of intercultural understanding. Both the signifi- cance of learning about other cultures and the importance of children seeing themselves reflected in the books that they read have been discussed extensively. In 2010, the New Zealand PictureBook Collection (NZPBC) was developed in order to create a resource that reflected New Zealand national identity. In 2015 the NZPBC was revised and this article presents a visual and textual analysis of the diversity present in the sixty books nomi- nated through the lens of critical multicultural analysis, using four variables. Findings indicate considerable diversity is present in the collection in terms of representations of ethnicity and family; less so for representations of disability and languages.

year: 2017