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"Digitale Medien."
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Managing Digital Platforms in User Organizations: The Interactions Between Digital Options and Digital Debt
As organizations increasingly use digital platforms to facilitate innovation, researchers are seeking to understand how platforms shape business practices. Although extant literature offers important insights into platform management from a platform-owner perspective, we know little about how organizations manage industry platforms provided by external parties to generate opportunities and overcome challenges in relation to their infrastructure and work processes. As part of larger ecosystems, these digital platforms offer organizations bundles of digital options that they can selectively invest in over time. At the same time, organizations’ previous investments in digital infrastructure and work processes produce a legacy of digital debt that conditions how they manage their digital platforms over time. Against this backdrop, we investigate how digital options and digital debt were implicated in a large Scandinavian media organization’s management of a news production platform over nearly 17 years. Drawing on extant literature and the findings from this case, we theorize the progression of and interactions between digital options and digital debt during an organization’s digital platform management in relation to its infrastructure and work processes. The theory reveals the complex choices that organizations face in such efforts: While they may have to resolve digital debt to make a platform’s digital options actionable, hesitancy to plant digital debt may equally well prevent them from realizing otherwise attractive digital options. Similarly, while identified digital options may offer organizations new opportunities to resolve digital debt, eagerness to realize digital options may just as easily lead to unwise planting of digital debt.
Journal Article
Integrating Marketing Communications: New Findings, New Lessons, and New Ideas
With the challenges presented by new media, shifting media patterns, and divided consumer attention, the optimal integration of marketing communications takes on increasing importance. Drawing on a review of relevant academic research and guided by managerial priorities, the authors offer insights and advice as to how traditional and new media such as search, display, mobile, TV, and social media interact to affect consumer decision making. With an enhanced understanding of the consumer decision journey and how consumers process communications, the authors outline a comprehensive framework featuring two models designed to improve the effectiveness and efficiency of integrated marketing communication programs: a \"bottom-up\" communications matching model and a \"top-down\" communications optimization model. The authors conclude by suggesting important future research priorities.
Journal Article
Extended Self in a Digital World
The extended self was proposed in 1988. Since it was formulated, many technological changes have dramatically affected the way we consume, present ourselves, and communicate. This conceptual update seeks to revitalize the concept, incorporate the impacts of digitization, and provide an understanding of consumer sense of self in today’s technological environment. It is necessarily a work in progress, for the digital environment and our behavior within it continue to evolve. But some important changes are already clear. Five changes with digital consumption are considered that impact the nature of self and the nature of possessions. Needed modifications and additions to the extended self are outlined, and directions for future research are suggested. The digital world opens a host of new means for self-extension, using many new consumption objects to reach a vastly broader audience. Even though this calls for certain reformulations, the basic concept of the extended self remains vital.
Journal Article
Digital Addiction
Many have argued that digital technologies such as smartphones and social media are addictive. We develop an economic model of digital addiction and estimate it using a randomized experiment. Temporary incentives to reduce social media use have persistent effects, suggesting social media are habit forming. Allowing people to set limits on their future screen time substantially reduces use, suggesting self-control problems. Additional evidence suggests people are inattentive to habit formation and partially unaware of self-control problems. Looking at these facts through the lens of our model suggests that self-control problems cause 31 percent of social media use.
Journal Article
Teens, Health and Technology: A National Survey
In the age of digital technology, as teens seem to be constantly connected online, via social media, and through mobile applications, it is no surprise that they increasingly turn to digital media to answer their health questions. This study is the first of its kind to survey a large, nationally-representative sample of teens to investigate how they use the newest digital technologies, including mobile apps, social networking sites, electronic gaming and wearable devices, to explore health topics. The survey covered the types of health topics teens most frequently search for, which technologies they are most likely to use and how they use them, and whether they report having changed their behaviors due to digital health information. In addition, this survey explores how the digital divide continues to impact adolescents. Results of this study indicate that teens are concerned about many health issues, ranging from fitness, sexual activity, drugs, hygiene as well as mental health and stress. As teens virtually always have a digital device at their fingertips, it is clear that public health interventions and informational campaigns must be tailored to reflect the ways that teens currently navigate digital health information and the health challenges that concern them most.
Journal Article
In pursuit of an effective B2B digital marketing strategy in an emerging market
In business markets, firms operating in developing economies deal with burgeoning use of the internet, new electronic purchase methods, and a wide range of social media and online sales platforms. However, marketers are unclear about the pattern of influence of firm-initiated (i.e., paid media, owned media, and digital inbound marketing) and market-initiated (i.e., earned social media and organic search) digital communications on B2B sales and customer acquisition. We develop and test a model of digital echoverse in an emerging market B2B context, using vector autoregressive modeling to analyze a unique 132-week dataset from a Brazilian hub firm operating in the marketplace. We find empirical evidence supporting our conceptual framework in emerging markets. Underscoring the importance of a market development approach for emerging markets, the findings show that owned media and digital inbound marketing play a bigger role in influencing customer acquisition. Impressions generated through earned social media complement owned media, but not paid media. These insights highlight the notion that while sources of digital echoverse may remain the same across countries, its components exert a particular pattern of influence in an emerging market context. This is expected to encourage managers to rethink their digital strategies for B2B customer acquisition and sales enhancement while operating in emerging markets.
Journal Article
When and How to Diversify–A Multicategory Utility Model for Personalized Content Recommendation
Sometimes we desire change, a break from the same, or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However, current diversification strategies operate under a one-shot paradigm without considering the evolution of preferences resulting from recent consumption. Therefore, such methods often sacrifice accuracy. In the context of online media, we show that by recognizing that consumption in a session is the result of a sequence of utility-maximizing selections from various categories, one can increase recommendation accuracy by dynamically tailoring the diversity of suggested items to the diversity sought by the consumer. Our approach is based on a multicategory utility model that captures a consumer's preference for different categories of content, how quickly the consumer satiates with one category and wishes to substitute it with another, and how the consumer trades off costly search efforts with selecting from a recommended list to discover new content. Taken together, these three elements allow us to characterize how an individual selects a diverse set of items to consume over the course of a session and how likely the individual is to click on recommended content. We estimate the model using a clickstream data set from a large media outlet and apply it to determine the most relevant content to recommend at different stages of an online session. We find that our approach generates recommendations that are on average about 10% more accurate than optimized alternatives and about 25% more accurate than those diversified using existing diversification strategies. Moreover, the proposed method recommends content with diversity that more closely matches the diversity sought by readers, exhibiting lower concentration-diversification bias than other personalized recommender systems. Using a policy simulation, we estimate that recommending content using the proposed approach would result in visitors reading 23% additional articles at the studied website and deriving 35% higher utility. This could lead to immediate gains in revenue for the publisher and longer-term improvements in customer satisfaction and retention at the site.
Journal Article
