On the Measurement of Perceived Consumer Risk

The role of perceived risk in consumer behavior has been studied extensively by academic researchers. This paper introduces a methodology for the measurement of the effects of product features, marketing mix components, and individual differences on perceived consumer risk based on theoretical foundations in the literature. A conjoint-type model based on paired comparison judgments is estimated to provide attribute weights. A modification of a stochastic multidimensional scaling-based vector model is then used to measure and summarize individual consumer differences with respect to the impact of brand attributes and marketing mix components on latent levels of perceived consumer risk. An illustration is provided using students’ risk perceptions of sports cars.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75462/1/j.1540-5915.1991.tb00372.x.pd

Leveraging analytics to produce compelling and profitable film content

Producing compelling film content profitably is a top priority to the long-term prosperity of the film industry. Advances in digital technologies, increasing availabilities of granular big data, rapid diffusion of analytic techniques, and intensified competition from user generated content and original content produced by Subscription Video on Demand (SVOD) platforms have created unparalleled needs and opportunities for film producers to leverage analytics in content production. Built upon the theories of value creation and film production, this article proposes a conceptual framework of key analytic techniques that film producers may engage throughout the production process, such as script analytics, talent analytics, and audience analytics. The article further synthesizes the state-of-the-art research on and applications of these analytics, discuss the prospect of leveraging analytics in film production, and suggest fruitful avenues for future research with important managerial implications

Digital supply chain management in the videogames industry: a systematic literature review

As industries mature, they rely more heavily on supply chain management (SCM) to ensure effective operations leading to greater levels of organisational performance. SCM has been widely covered in many industrial areas and, in line with other burgeoning sectors such as Tourism, an industry focus provides the opportunity to look in-depth at the context-based factors that affect SCM. Developments in digital distribution and rapid technological innovations have resulted in an increased focus on Digital Supply Chains (DSCs), which bring about significant changes to how consumers, customers, suppliers, and manufacturers interact, affecting supply chain design and processes. Through a systematic review of the Videogames Industry Supply Chain Management literature, which serves as a pertinent contextual example of a DSC, we look at how supply chains are affected by structural, market and technological change, such as increased platformisation, disintermediation and the proliferation of digital distribution. We distil these findings into a new research agenda, which identifies themes in line with extant DSC research, provides a series of relevant practice recommendations and identifies opportunities for future research

A Two-Sided, Empirical Model of Television Advertising and Viewing Markets

For marketers, television remains the most important advertising medium. This paper proposes a two-sided model of the television industry. We estimate viewer demand for programs on one side and advertiser demand for audiences on the other. The primary objective is to understand how each group's program usage influences the other group. Four main conclusions emerge. First, viewers tend to be averse to advertising. When a highly rated network decreases its advertising time by 10%, our model predicts a median audience gain of about 25% (assuming no competitive reactions). Second, we find the price elasticity of advertising demand is -2.9, substantially more price elastic than 30 years ago. Third, we compare our estimates of advertiser and viewer preferences for program characteristics to networks' observed program choices. Our results suggest that advertiser preferences influence network choices more strongly than viewer preferences. Viewers' two most preferred program genres, Action and News, account for just 16% of network program hours. Advertisers' two most preferred genres, Reality and Comedy, account for 47% of network program hours. Fourth, we perform a counterfactual experiment in which some viewers gain access to a hypothetical advertisement avoidance technology. The results suggest that ad avoidance tends to increase equilibrium advertising quantities and decrease network revenues.advertising, broadcasting, demand estimation, empirical industrial organization, endogeneity, entertainment marketing, media, television, two-sided markets