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In grades K-3, the primary focus of instruction is learning to read. In grades 4 and beyond, however, the focus shifts to reading to learn. Whereas teachers may use a variety of instructional approaches, research has clearly documented that learning from text is the primary instructional model found in most classrooms. This means that efforts to close the achievement gap must focus on ensuring that all students can access text-based learning materials, engage with the content in meaningful ways, and ultimately demonstrate success in the form of measurable gains in learning outcomes. Whereas the philosophy of UDL is relatively easy to understand, it has proven problematic to design, implement, evaluate, and scale. The purpose of this chapter is to describe a universal design engineering approach known as Design for More Types that can be applied to the design of text-based learning materials, this chapter will describe the conceptual and practical issues involved in the development of text-based learning materials for diverse learners. We begin by providing some foundational concepts for this multidisciplinary work. Next, we provide a series of case studies to illustrate how universal usability can be applied to various instructional designs. Finally, we describe how the Design for More Types framework can be used in both research and practice.

This chapter focuses on the empirical research on the resource-based view of the firm (RBV), and its main purpose is to analyse the use of mixed methods in this perspective. The recent advance of the RBV has posed new challenges, and the issue need not be quantitative versus qualitative methods, but rather how to combine the strengths of each in a mixed methods approach. This study carries out a literature review about the use of mixed methods in the RBV and provides an examination of opportunities and challenges associated with the application of mixed methods in order to improve RBV research. Moreover, the chapter seeks to introduce mixed methods research in order to familiarize to strategic management and the RBV scholars about this type of research and its terminology, procedures, designs and purposes.

Data visualizations in some form or another have served as decision-support tools for many centuries. In conjunction with advancements in information technology, data visualizations have become more accessible and more efficient to generate. In fact, virtually all enterprise resource planning and human resource (HR) information system vendors offer off-the-shelf data visualizations as part of decision-support dashboards as well as stand-alone images and displays for reporting. Plus, advances in programing languages and software such as Tableau, Microsoft Power BI, R, and Python have expanded the possibilities of fully customized graphics. Despite the proliferation of data visualization, relatively little is known about how to design data visualizations for displaying different types of HR data to different user groups, for different purposes, and with the overarching goal of improving the ways in which users comprehend and interpret data visualizations for decision-making purposes. To understand the state of science and practice as they relate to HR data visualizations and data visualizations in general, we review the literature on data visualizations across disciplines and offer an organizing framework that emphasizes the roles data visualization characteristics (e.g., display type, features), user characteristics (e.g., experience, individual differences), tasks, and objectives (e.g., compare values) play in user comprehension, interpretation, and decision-making. Finally, we close by proposing future directions for science and practice.

In order for an information system (IS) to be sustainable, it must create value for its shareholders and for the society at large. We believe it is both possible and recommended that systems designers approach the design of systems thoughtfully, using a positive lens, to develop systems that not only increase profit but also add to the well-being of all. We have also observed that a systems designer can approach an organization with an open mind, accept the organization's set of values, adopt a positive design attitude, and still develop a system that is not sustainable. In this study, we looked to see whether there was an additional factor, one based in the environment created by governments that influenced the sustainability of systems. Since previous research shows that observing the predominant metaphors found in organizations can help explain the success or failure of different types of ISs, we attempted to do the same for societal metaphors. We identify the orientation, attitudes, and limits of various forms of government and demonstrate their similarities to the primary organizational metaphors. We then propose that the type of government may influence the sustainability of ISs and further argue that systems designers need to be aware of how forms of government affect the design of ISs and their sustainability.

The authors content analyze 76 empirical Strategic Management Journal articles to determine how studies control for threats to internal validity, a common source of flaws in research designs. Results indicate that most studies fail to control for one or more threats to internal validity. In particular, selection effects were the most frequently appearing threat, followed by history effects, ambiguity about the direction of causal inference, changing data sources and subject mortality. In general, the results suggest that strategy researchers need to more carefully account for threats to the internal validity of their research designs. Suggestions for addressing these problems are provided.

The purpose of this chapter is to explore the differences in consumers’ willingness to pay for different types of design attributes due to different levels of specific anticipatory emotions evoked by them. The research aims to show how firms can benefit by leveraging the findings that different types of design attributes – that is, functionality, aesthetics, and environmental sustainability – affect profit margin per unit differently. Further, the chapter claims that design is a core competency that can pay dividends in terms of profit margins for firms. It is important for firms to develop expertise in understanding and leveraging relationships between the types of design attributes, specific emotions, and consumers’ willingness to pay.

The chapter uses the product categories of cell phones and laptop computers in the three experiments to test the hypothesized relationships between design attributes (functionality, aesthetics, and environmental sustainability), specific emotions, and willingness to pay.

The research finds that different attributes of design – functionality, aesthetics, and sustainability – evoke different types of emotions and different levels of willingness to pay.

The data were primarily collected via experiments in a behavioral laboratory.

Firms can leverage different attributes of design to position and price products according to emotional requirements of the target customer segment to match their willingness to pay and maximize profit margin per unit.

The research specifically measures willingness to pay in joint presentation – independent evaluation scenarios to assess differences in how functionality, aesthetics, and sustainability impact willingness to pay.

While qualitative work has a long tradition in the strategy field and has recently regained popularity, we have not paused to take stock of how such work offers contributions. We address this oversight with a review of qualitative studies of strategy published in five top-tier journals over an extended period of 15 years (2003–2017). In an attempt to organize the field, we develop an empirically grounded organizing framework. We identify 12 designs that are evident in the literature, or “designs-in-use” as we call them. Acknowledging important similarities and differences between the various approaches to qualitative strategy research (QSR), we group these designs into three “families” based on their philosophical orientation. We use these designs and families to identify trends in QSR. We then engage those trends to orient the future development of qualitative methods in the strategy field.

We study research designs where a binary treatment changes discontinuously at the border between administrative units such as states, counties, or municipalities, creating a treated and a control area. This type of geographically discontinuous treatment assignment can be analyzed in a standard regression discontinuity (RD) framework if the exact geographic location of each unit in the dataset is known. Such data, however, is often unavailable due to privacy considerations or measurement limitations. In the absence of geo-referenced individual-level data, two scenarios can arise depending on what kind of geographic information is available. If researchers have information about each observation’s location within aggregate but small geographic units, a modified RD framework can be applied, where the running variable is treated as discrete instead of continuous. If researchers lack this type of information and instead only have access to the location of units within coarse aggregate geographic units that are too large to be considered in an RD framework, the available coarse geographic information can be used to create a band or buffer around the border, only including in the analysis observations that fall within this band. We characterize each scenario, and also discuss several methodological challenges that are common to all research designs based on geographically discontinuous treatment assignments. We illustrate these issues with an original geographic application that studies the effect of introducing copayments for the use of the Children’s Health Insurance Program in the United States, focusing on the border between Illinois and Wisconsin.

In this chapter we study job design. Do organizations plan precisely how the job is to be done ex ante, or ask workers to determine the process as they go? We first model this decision and predict complementarity among these following job attributes: multitasking, discretion, skills, and interdependence of tasks. We argue that characteristics of the firm and industry (e.g., product and technology, organizational change) can explain observed patterns and trends in job design. We then use novel data on these job attributes to examine these issues. As predicted, job designs tend to be “coherent” across these attributes within the same job. Job designs also tend to follow similar patterns across jobs in the same firm, and especially in the same establishment: when one job is optimized ex ante, others are more likely to be also. There is evidence that firms segregate different types of job designs across different establishments. At the industry level, both computer usage and R&D spending are related to job design decisions.

This chapter provides an overview of the five main modes of intellectual property (IP) protection – patents, copyrights, trademarks, trade secrets, and designs – available in the United States, the European Union, and Japan. After describing the purposes of and principal differences among the five types of IP protection and outlining the advantages of each form, the chapter provides country- and region-specific information. The authors highlight the aspects of IP law in which international harmonization has, or has not yet, occurred, and offer insights into the relative advantages of various national and regional IP protection systems.