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This chapter uses Austrian capital theory to illustrate why empirical work can be elusive in typical Austrian themes. It explores the nature of the problem and different alternative solutions to empirical challenges. This chapter also discusses the Austrian literature’s epistemological approach to empirical work to shed light on the controversial relationship between Austrian theory and empirical testing. Finally, this chapter offers examples of how Austrian and mainstream economics can find a common empirical ground.

Mobile marketing, the two- or multi-way communication and promotion of an offer between a firm and its customers using a mobile medium, device, platform, or technology, has made rapid strides in the past several years. Mobile marketing has entered its second phase or Mobile Marketing 2.0. The surpassing of desktop by mobile devices in digital media consumption, diffusion of wearable devices among customers, and an overall integration and interconnectedness of devices characterize this phase. Against this backdrop, we present a synthesis of the most recent literature in mobile marketing. We discuss three key advances in mobile marketing research relating to mobile targeting, personalization, and mobile-led cross-channel effects. We outline emerging industry trends in mobile marketing, including mobile app monetization, augmented reality, data and privacy, wearable devices, driverless vehicles, the Internet of Things, and artificial intelligence. Within each extant and emerging area, we delineate the future research opportunities in mobile marketing. Finally, we discuss the impact of mobile marketing on customer, firm, and societal outcomes.

This article reviews the quantitative marketing literature on artificial intelligence (AI) through an economics lens. We apply the framework in Prediction Machines: The Simple Economics of Artificial Intelligence to systematically categorize 96 research papers on AI in marketing academia into five levels of impact, which are prediction, decision, tool, strategy, and society. For each paper, we further identify each individual component of a task, the research question, the AI model used, and the broad decision type. Overall, we find there are fewer marketing papers focusing on strategy and society, and accordingly, we discuss future research opportunities in those areas.

This chapter studies Digital (or Electronic) Government in Latin American (LatAm) countries from a comparative perspective. It analyzes a group of countries with a significant degree of economic diversity and public administration heterogeneity. This chapter presents data about the development of the Information Society in Latin America, regarding the diffusion of Information and Communication Technologies (ICTs) and the Internet in the countries of the region and taking into account the digital divide phenomenon. It also analyzes Digital Government from a regional perspective, pinpointing intergovernmental institutions and international organizations devoted to design and define, and, in some cases, implement, shared perspectives and a common agenda within this region. This overview is brought forward by a comparative approximation to the development of e-Government readiness in LatAm countries, using data from the United Nations reports. Additionally, this chapter analyzes sectional e-Government dimensions, including digital public administration national agendas, electronic public service delivery websites, interoperability initiatives, social media technologies, open data and open government strategies, and the future of technology in public sector of the region. Therefore, this chapter is important to understand the role of ICTs as one of the most recent sources of innovation and reform in public administrations Latin America.

Technology is present in classrooms today in many ways that it never has been before. Technology, and more specifically assistive technology, can be used to provide students with visual impairments with equal access and engagement in learning. Best practices for using technology to enhance learning for students with visual impairments includes, but is not limited to, collaboration among all stakeholders involved, individualized instruction, and specialized training on behalf of students with visual impairments and their teachers. The heterogeneity of the population of learners with visual impairments must be explicitly addressed by educational teams taking into account the high prevalence of additional disabilities among students with visual impairments and other unique characteristics of this population. Stakeholders (i.e., students, families, caregivers, educators, administrators, and policymakers) need to work together and continue working together as education evolves to make this access and engagement a reality for all learners including those who are blind or have low vision.