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Purpose – The advancement of multimedia technology has spurred the use of multimedia in business practice. The adoption of audio and visual data will accelerate as marketing scholars become more aware of the value of audio and visual data and the technologies required to reveal insights into marketing problems. This chapter aims to introduce marketing scholars into this field of research.Design/methodology/approach – This chapter reviews the current technology in audio and visual data analysis and discusses rewarding research opportunities in marketing using these data.Findings – Compared with traditional data like survey and scanner data, audio and visual data provides richer information and is easier to collect. Given these superiority, data availability, feasibility of storage, and increasing computational power, we believe that these data will contribute to better marketing practices with the help of marketing scholars in the near future.Practical implications: The adoption of audio and visual data in marketing practices will help practitioners to get better insights into marketing problems and thus make better decisions.Value/originality – This chapter makes first attempt in the marketing literature to review the current technology in audio and visual data analysis and proposes promising applications of such technology. We hope it will inspire scholars to utilize audio and visual data in marketing research.

It is well known that entrepreneurship is a complex phenomenon, which takes place under great uncertainty. Much of the existing research that explores the venture creation process has assumed a linear, unitary process. The proposal presented in this chapter involves the venture creation process viewed as an iterative, non-linear, feedback-driven system called the Startup Path – a framework that brings together the entrepreneur as an individual, with its journey on the venture creation process.

The objective of the research, and paper, is to determine first whether or not the accounting abstraction appears to dominate the manager’s perceptions of the physical reality of the firm’s utilization of its physical assets, and second, whether changes in the accounting abstraction (e.g. the addition of Capacity cost management reports and measurements) lead to changes in how managers perceive, and use, their physical assets. Using a cognitive decision-making structure developed by Wagenaar et al. (1995), this study explores the interplay between the structure and nature of capacity reporting (the surface structure of the decision) and the subsequent analysis and choice of managers within the firm (the deep structure of the decision). A five-site field research methodology was used to gather data from companies across a multitude of industry contexts and situations. Results suggest that the nature of capacity measurement and reporting does shape manager’s perceptions of current and potential future performance (the cognitive surface structure), with major implications for the nature and type of decisions and trade-offs made (the deep structure). Specifically, managers appear to make decisions that are illogical when considered in light of the physical reality of their operations based on the representations of this reality (e.g. the capacity measures and reports). Analysis and interpretation of these results suggest that what accounting makes visible appears to drive decision-making and performance in organization.

Through observing the use of iPhone and iPad by a child between the ages of two and four years and a half, this study presents accounts on the child’s use of and interaction with these devices, as well as her interaction with the physical environment.

Unstructured, naturalistic observation was employed in this study. The study is grounded in theories of user engagement with digital and physical objects.

A child’s interaction with touch-based devices does not deter the child from engaging effectively with the physical environment or from activities centered on creativity and interpersonal engagement. A child is able to move back and forth seamlessly between the physical and digital environments.

Findings from this study could help parents, educators, and system designers understand why and how toddlers and preschoolers use and engage with touch-based devices, as well as the kind of tasks they perform.

Studies of toddlers’ or preschoolers’ information behavior and interaction with touch-based devices are scarce. Children born toward the end of the first decade of the twenty-first century are growing up with a propensity to using touch-based devices. This study provides a framework for effective usage of such devices while ensuring all-round cognitive and physical development of the child.