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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.

Rather than organize as traditional firms, many of today’s companies organize as platforms that sit at the nexus of multiple exchange and production relationships. This chapter considers a most basic question of organization in platform contexts: the choice of boundaries. Herein, I investigate how classical economic theories of firm boundaries apply to platform-based organization and empirically study how executives made boundary choices in response to changing market and technical challenges in the early mobile computing industry (the predecessor to today’s smartphones). Rather than a strict or unavoidable tradeoff between “openness-versus-control,” most successful platform owners chose their boundaries in a way to simultaneously open-up to outside developers while maintaining coordination across the entire system.

Purpose – For decades, archivists have been appraising, preserving, and providing access to digital records by using archival theories and methods developed for paper records. However, production and consumption of digital records are informed by social and industrial trends and by computer and data methods that show little or no connection to archival methods. The purpose of this chapter is to reexamine the theories and methods that dominate records practices. The authors believe that this situation calls for a formal articulation of a new transdiscipline, which they call computational archival science (CAS).

Design/Methodology/Approach – After making a case for CAS, the authors present motivating case studies: (1) evolutionary prototyping and computational linguistics; (2) graph analytics, digital humanities, and archival representation; (3) computational finding aids; (4) digital curation; (5) public engagement with (archival) content; (6) authenticity; (7) confluences between archival theory and computational methods: cyberinfrastructure and the records continuum; and (8) spatial and temporal analytics.

Findings – Each case study includes suggestions for incorporating CAS into Master of Library Science (MLS) education in order to better address the needs of today’s MLS graduates looking to employ “traditional” archival principles in conjunction with computational methods. A CAS agenda will require transdisciplinary iSchools and extensive hands-on experience working with cyberinfrastructure to implement archival functions.

Originality/Value – We expect that archival practice will benefit from the development of new tools and techniques that support records and archives professionals in managing and preserving records at scale and that, conversely, computational science will benefit from the consideration and application of archival principles.

The emergence of the platform economy is reorganizing work, employment, and value creation. The authors argue that the digital platforms are fracturing work itself as the places and types of work are being reorganized into a myriad of platform organized work arrangements with workplaces being potentially anywhere with Internet connectivity. The authors differ from most traditional narratives that focus solely upon either work displacement, a single type of platform-organized value-creating activity, or David Weil’s concentration solely upon the workplace. The authors recognize that even as some work is replaced, other work is being transformed; new work and old work in new arrangements is being created and recreated. The taxonomy begins with the workers employed directly by the platform and its contractors. The authors then introduce the category, platform-mediated work, which we divide into three groups: marketplaces such as Amazon; in-person service provision such as Uber and Airbnb; and remote service provision such as Upwork. The next category, “platform-mediated content creation,” is complex. The authors identify three groups of activities: consignment content creators that include services such as the app stores, YouTube, and Amazon Self-Publishing; non-platform organization content producers, which refers to the enormous number of workers occupied with creating and maintaining websites; and user-generated content which is the non-compensated value creation that ranges from content uploaded to Facebook, Instagram, etc. to reviews on sites such as Yelp. It is only when work and value creation is considered in all of these platform-based manifestations that we can understand the ultimate dimensions of the platform economy and comprehensively understand its implications for work.

In the drama of the evidentiary process, it would hardly be thought exceptional that the judge’s intuition of the formal order of things – which is to say, their sufficient standing-to-reason – should falter when confronted with the sprawling and confused immediacy of stubborn matter-of-fact. The circumstantial given is a bewildering Gordian Knot of data; the analytic legerdemain of localising our attention and following one of its threads cannot reduce the tangle into which it soon recedes. And in comparison to the knot’s multiplicity, our scope for unifying abstraction, or “large-scale” comprehension, is limited and flickering. We possess fragments of intuition, and fragments of formal connection between these fragments. But the panorama is merely agglutinative – the fragments do not congeal into one perfect, self-evident totality. And an offhand remark amongst the lectures of Alfred North Whitehead suggests that this defect is of more than methodological significance – even when one takes one’s example from arithmetic: “the snippet of knowledge that the addition of 1 and 4 produces the same multiplicity as the addition of 2 and 3, seems to me self-evident” (Whitehead, 1968, p. 47). And yet we would disclaim any such self-evidence were larger numbers involved – only skeptically could we hazard a guess. So, he continues, we have recourse to “the indignity of proof,” securing our opinion through the rationality of calculation. Nor is it so much that proof and method are chastening of themselves – the nemesis, the sting of the creatural condition is rather having to prove, the imperfection of finite judgment and the infinite possibility of perfecting it. This predicament was already known to Sophocles; if humanity “holds out” against the overwhelming by its inventiveness, by finding a means in to mêchanoen technas, the machinations of technique, it is because our ultimate condition with regard to the overwhelming is amêchanôs, aporos, resourceless and without means.

This paper argues that the revolution in intellectual property rights is not forward-looking, but backward looking, and that it is not consonant with the purposes of the patent and copyright clause. It is animated by the theory of common law copyright, which deliberately reconceptualizes social relations in order to recast them as property, and which has been with us for centuries. This paper investigates the “mythology of common law copyright,” showing how this reconceptualization has worked both historically and in the present day to push the law in a direction that is ostensibly author-centered, but is actually focused on the rights of intermediaries.

This chapter reviews the evidence of the development of ethical decision-making competencies of medical professionals. Selected studies are reviewed that use a theoretical framework that has shown the most promise for providing evidence of character formation. The evidence suggests that entering professionals lack full capacity for functional processes that give rise to morality (sensitivity, reasoning, motivation and commitment, character and competence). Further, following professional education, considerable variations in these abilities persist. Whereas many perceive that role modeling is the most effective way to teach professionalism, there is no empirical evidence to support the role of modeling in professional development. The chapter concludes with suggestions for facilitating character development resistant to influence by negative role models or adverse moral milieu.

We present evidence regarding how a card check recognition process affects the labor relations climate during the period preceding recognition and that which immediately follows. Interviews with managers, interviews with union representatives, and surveys of workers indicate that card check typically results in a less prolonged, costly, and stressful recognition and negotiations process. Although the resulting contracts are often similar to those in other parts of a heavily unionized corporation, sometimes they reflect a different business context – and hence are somewhat more favorable to employers without being substantially less favorable to employees. This reality is reflected in the positive reaction of the U.S. stock markets to union recognition by an employer through a card check process. Employers make card check agreements primarily for business reasons, and investors respect their judgment as to the impact of such agreements on the bottom line.

A growing body of research outlines how to best facilitate and ensure methodological rigor when using dictionary-based computerized text analyses (DBCTA) in organizational research. However, these best practices are currently scattered across several methodological and empirical manuscripts, making it difficult for scholars new to the technique to implement DBCTA in their own research. To better equip researchers looking to leverage this technique, this methodological report consolidates current best practices for applying DBCTA into a single, practical guide. In doing so, we provide direction regarding how to make key design decisions and identify valuable resources to help researchers from the beginning of the research process through final publication. Consequently, we advance DBCTA methods research by providing a one-stop reference for novices and experts alike concerning current best practices and available resources.