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  • Institute for Operations Research and the Management Sciences (INFORMS)  (9)
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  • Institute for Operations Research and the Management Sciences (INFORMS)  (9)
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Erscheinungszeitraum
Fachgebiete(RVK)
  • 1
    Online-Ressource
    Online-Ressource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2013
    In:  Information Systems Research Vol. 24, No. 3 ( 2013-09), p. 613-631
    In: Information Systems Research, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 24, No. 3 ( 2013-09), p. 613-631
    Kurzfassung: We explore how Internet browsing behavior varies between mobile phones and personal computers. Smaller screen sizes on mobile phones increase the cost to the user of browsing for information. In addition, a wider range of offline locations for mobile Internet usage suggests that local activities are particularly important. Using data on user behavior at a (Twitter-like) microblogging service, we exploit exogenous variation in the ranking mechanism of posts to identify the ranking effects. We show that (1) ranking effects are higher on mobile phones suggesting higher search costs: links that appear at the top of the screen are especially likely to be clicked on mobile phones and (2) the benefit of browsing for geographically close matches is higher on mobile phones: stores located in close proximity to a user's home are much more likely to be clicked on mobile phones. Thus, the mobile Internet is somewhat less “Internet-like”: search costs are higher and distance matters more. We speculate on how these changes may affect the future direction of Internet commerce.
    Materialart: Online-Ressource
    ISSN: 1047-7047 , 1526-5536
    Sprache: Englisch
    Verlag: Institute for Operations Research and the Management Sciences (INFORMS)
    Publikationsdatum: 2013
    ZDB Id: 2027203-0
    SSG: 3,2
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2022
    In:  Information Systems Research Vol. 33, No. 2 ( 2022-06), p. 399-412
    In: Information Systems Research, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 33, No. 2 ( 2022-06), p. 399-412
    Kurzfassung: Demand-side platforms (DSPs) that purchase digital ad space using real-time bidding (RTB) systems employ “black-box” performance optimizers to adjust bids at run time. Advertisers using field experiments to estimate the marginal value of display ads need to contend with the selective targeting of users by optimizers that adjust bids to target users with a greater propensity to respond favorably (i.e., click or conversion). In this paper, we propose an alternative approach for advertisers who choose to bypass their DSP’s performance optimizers for the purpose of assessing the value of their ads. We show that external frequency caps that set upper limits on the number of ad impressions outside the purview of bidding algorithms can serve as a suitable instrumental variable. Eliminating performance optimizers allows the advertiser to value ads without relying on the support services of the DSP with the added benefit of a broader customer reach and a markedly lower cost. As the focal advertiser disables performance optimizers, any overbidding or underbidding vis-à-vis competition that employs them results in a negative correlation between the numbers of ad impressions won and their underlying quality in real time. Using two large-scale randomized field experiments in different geographies (United States and Asia) and different devices (PC and mobile), we validate the proposed approach and report a positive effect of ad impression count after adjusting for net negative bias.
    Materialart: Online-Ressource
    ISSN: 1047-7047 , 1526-5536
    Sprache: Englisch
    Verlag: Institute for Operations Research and the Management Sciences (INFORMS)
    Publikationsdatum: 2022
    ZDB Id: 2027203-0
    SSG: 3,2
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2014
    In:  Management Science Vol. 60, No. 6 ( 2014-06), p. 1470-1488
    In: Management Science, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 60, No. 6 ( 2014-06), p. 1470-1488
    Kurzfassung: In 2013, the global mobile app market was estimated at over US$50 billion and is expected to grow to $150 billion in the next two years. In this paper, we build a structural econometric model to quantify the vibrant platform competition between mobile (smartphone and tablet) apps on the Apple iOS and Google Android platforms and estimate consumer preferences toward different mobile app characteristics. We find that app demand increases with the in-app purchase option wherein a user can complete transactions within the app. On the contrary, app demand decreases with the in-app advertisement option where consumers are shown ads while they are engaging with the app. The direct effects on app revenue from the inclusion of an in-app purchase option and an in-app advertisement option are equivalent to offering a 28% price discount and increasing the price by 8%, respectively. We also find that a price discount strategy results in a greater increase of app demand in Google Play compared with Apple App Store, and app developers can maximize their revenue by providing a 50% discount on their paid apps. Using the estimated demand function, we find that mobile apps have enhanced consumer surplus by approximately $33.6 billion annually in the United States, and we discuss various implications for mobile marketing analytics, app pricing, and app design strategies. This paper was accepted by Alok Gupta, special issue on business analytics.
    Materialart: Online-Ressource
    ISSN: 0025-1909 , 1526-5501
    RVK:
    Sprache: Englisch
    Verlag: Institute for Operations Research and the Management Sciences (INFORMS)
    Publikationsdatum: 2014
    ZDB Id: 206345-1
    ZDB Id: 2023019-9
    SSG: 3,2
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 4
    Online-Ressource
    Online-Ressource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2020
    In:  Information Systems Research Vol. 31, No. 3 ( 2020-09), p. 835-847
    In: Information Systems Research, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 31, No. 3 ( 2020-09), p. 835-847
    Kurzfassung: Avenues for the delivery of loyalty programs have rapidly shifted from plastic card schemes to mobile app–based initiatives, yet our understanding of the economic value presented by the latter (i.e., loyalty apps) has not kept pace with this development. We examine the effects of loyalty app adoption on customers’ offline purchase patterns, reward redemption, and deal-prone behaviors as well as store-level competition in a multivendor loyalty program (MVLP) context, where multiple offline brands collaborate in the operation of point-sharing initiatives. Mobile-driven loyalty apps substantially lower consumer search costs, thereby enhancing on-demand information accessibility and facilitating the monitoring of reward points. Based on a unique data set that comprises information on customers’ loyalty app adoption status, loyalty point redemption patterns, and purchase behaviors in MVLP environments, we investigate how the transition from plastic-based programs to loyalty apps influences the out-of-pocket spending and point redemption patterns of consumers. Our findings reveal that the adoption of loyalty apps is associated with an increase in purchases and the predilection for point redemption. Despite these positive outcomes, however, potential adverse consequences may arise in the form of deal-susceptible behaviors and reduced store-specific loyalty. Loyalty app adopters tend to be more vulnerable to deals, with these customers selectively buying highly discounted products of low margin. Additionally, loyalty app consumers visit more stores but spend less in a focal store, thereby diminishing loyalty to this specific store. These results have managerial implications on optimal mobile-based loyalty program designs and implementation, reward-driven platform strategies, and risk management initiatives in an MVLP setting.
    Materialart: Online-Ressource
    ISSN: 1047-7047 , 1526-5536
    Sprache: Englisch
    Verlag: Institute for Operations Research and the Management Sciences (INFORMS)
    Publikationsdatum: 2020
    ZDB Id: 2027203-0
    SSG: 3,2
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 5
    Online-Ressource
    Online-Ressource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2023
    In:  Information Systems Research Vol. 34, No. 3 ( 2023-09), p. 961-995
    In: Information Systems Research, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 34, No. 3 ( 2023-09), p. 961-995
    Kurzfassung: As platform owners interact with end users and complementors, their demand-side characteristics and performance affect the overall value creation of ecosystems. This research investigated how the emergence of popular complements on a mobile communication platform impacts the usage of other complementary products by the platform’s end users and how platform owners can benefit from such demand spillovers. We identified two different forms of demand spillovers (i.e., backward and forward) and conceptualized how each subsequently affects platform expansion. On the basis of individual user-level app usage data, we empirically demonstrated how the presence of a popular app alters the demand structure of a platform through changes in the usage of other apps operating within it. The findings reveal that popular app adoption by users increases the number of apps used and the duration of app usage, excluding the usage of popular apps, only within the platform offering a popular app. These results support the existence of positive spillovers from popular complement adoption on a platform. Such positive within-platform spillovers are derived from both backward spillovers onto existing apps adopted before popular app adoption and forward spillovers onto new apps to be adopted after the uptake of favored apps. These patterns suggest that positive spillovers of popular app adoption occur through both the increased retrieval of existing apps and reduced uncertainty about newly released apps. Furthermore, forward spillover is considerably stronger than backward spillover, implying that platform owners can reap benefits by coordinating the launch of new complements and the promotion of less-known counterparts to end users with the emergence of a popular app. These results shed light on how platform owners can manage their complements and create value beyond direct contributions from popular complements. History: Yulin Fang, Senior Editor; Yan Huang, Associate Editor.
    Materialart: Online-Ressource
    ISSN: 1047-7047 , 1526-5536
    Sprache: Englisch
    Verlag: Institute for Operations Research and the Management Sciences (INFORMS)
    Publikationsdatum: 2023
    ZDB Id: 2027203-0
    SSG: 3,2
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 6
    Online-Ressource
    Online-Ressource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2017
    In:  Management Science Vol. 63, No. 5 ( 2017-05), p. 1469-1492
    In: Management Science, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 63, No. 5 ( 2017-05), p. 1469-1492
    Kurzfassung: The introduction of tablets in online retailing has created an additional touchpoint through which e-commerce firms can interact with consumers. In this paper, we seek to understand and measure the causal impact of tablets on e-commerce sales. In doing so, we examine the complementary and substitution impact of the tablet channel on the smartphone and PC channels. We rely on a unique data set from Alibaba, the largest e-commerce firm in the world, and exploit a natural experiment via the iPad app introduction to empirically identify our results. The results show that users’ adoption of tablets enhanced the overall growth of Alibaba’s e-commerce market, with an annual increase of approximately US$923.5 million. Our results demonstrate that the tablet channel acts as a substitute for the PC channel while it acts as a complement for the smartphone channel. Furthermore, the use of tablets spurs casual browsing, which leads to the purchase of more impulse products and a wider diversity of products. Cross-device browsing behavior is found to enhance sales outcomes, and the degree of interrelationships between devices varies across the course of the day. We provide insights for retailers about how they can increase their sales volume and revenue in the emerging tablet economy. This paper was accepted by Anandhi Bharadwaj, information systems.
    Materialart: Online-Ressource
    ISSN: 0025-1909 , 1526-5501
    RVK:
    Sprache: Englisch
    Verlag: Institute for Operations Research and the Management Sciences (INFORMS)
    Publikationsdatum: 2017
    ZDB Id: 206345-1
    ZDB Id: 2023019-9
    SSG: 3,2
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 7
    Online-Ressource
    Online-Ressource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2023
    In:  Management Science Vol. 69, No. 6 ( 2023-06), p. 3616-3649
    In: Management Science, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 69, No. 6 ( 2023-06), p. 3616-3649
    Kurzfassung: Drawing on the notion of compensatory behavior, this paper studies how students compensate for learning loss during a pandemic and what role artificial intelligence (AI) plays in this regard. We further probe into a difference in compensatory behavior for learning loss in terms of quantity, pattern, and pace (i.e., tripartite aspect of learning behavior) of AI-powered learning app usage depending on the level of pandemic threat and the proximity of a goal to students. Results show that the pandemic threat affects student learning behavior differently. Immediately following the COVID-19 outbreak, students who live in the epicenter of the outbreak (versus those who do not) use the app less at first, but with time, they use it more (quantity), on a more regular basis (pattern), and rebound to a curriculum path (pace) comparable to students who do not live in the outbreak’s epicenter. These findings collectively explain behavior that is consistent with compensation for learning loss. The results also partially corroborate the goal-proximity effect, revealing that proximity to a goal (e.g., the degree to which the national university admission exam is approaching) has a moderating role in explaining the tripartite perspective of student learning behavior. Overall, these findings have important theoretical and practical implications for understanding how innovative education technologies can not only facilitate student learning during adversity, but also support learning recovery after adversity. This paper was accepted by D. J. Wu, information systems. Supplemental Material: Data files available at https://doi.org/10.1287/mnsc.2022.4531 .
    Materialart: Online-Ressource
    ISSN: 0025-1909 , 1526-5501
    RVK:
    Sprache: Englisch
    Verlag: Institute for Operations Research and the Management Sciences (INFORMS)
    Publikationsdatum: 2023
    ZDB Id: 206345-1
    ZDB Id: 2023019-9
    SSG: 3,2
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 8
    Online-Ressource
    Online-Ressource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2011
    In:  Management Science Vol. 57, No. 9 ( 2011-09), p. 1671-1691
    In: Management Science, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 57, No. 9 ( 2011-09), p. 1671-1691
    Kurzfassung: We quantify how user mobile Internet usage relates to unique characteristics of the mobile Internet. In particular, we focus on examining how the mobile-phone-based content generation behavior of users relates to content usage behavior. The key objective is to analyze whether there is a positive or negative interdependence between the two activities. We use a unique panel data set that consists of individual-level mobile Internet usage data that encompass individual multimedia content generation and usage behavior. We combine this knowledge with data on user calling patterns, such as duration, frequency, and locations from where calls are placed, to construct their social network and to compute their geographical mobility. We build an individual-level simultaneous equation panel data model that controls for the different sources of endogeneity of the social network. We find that there is a negative and statistically significant temporal interdependence between content generation and usage. This finding implies that an increase in content usage in the previous period has a negative impact on content generation in the current period and vice versa. The marginal effect of this interdependence is stronger on content usage (up to 8.7%) than on content generation (up to 4.3%). The extent of geographical mobility of users has a positive effect on their mobile Internet activities. Users more frequently engage in content usage compared to content generation when they are traveling. In addition, the variance of user mobility has a stronger impact on their mobile Internet activities than does the mean. We also find that the social network has a strong positive effect on user behavior in the mobile Internet. These analyses unpack the mechanisms that stimulate user behavior on the mobile Internet. Implications for shaping user mobile Internet usage behavior are discussed. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors. This paper was accepted by Pradeep Chintagunta and Preyas Desai, special issue editors.
    Materialart: Online-Ressource
    ISSN: 0025-1909 , 1526-5501
    RVK:
    Sprache: Englisch
    Verlag: Institute for Operations Research and the Management Sciences (INFORMS)
    Publikationsdatum: 2011
    ZDB Id: 206345-1
    ZDB Id: 2023019-9
    SSG: 3,2
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 9
    Online-Ressource
    Online-Ressource
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2016
    In:  Information Systems Research Vol. 27, No. 4 ( 2016-12), p. 919-939
    In: Information Systems Research, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 27, No. 4 ( 2016-12), p. 919-939
    Kurzfassung: Drawing on the rational addiction framework, this study explores the digital vulnerabilities driven by dependence on mobile social apps (e.g., social network sites and social games). Rational addicts anticipate the future consequences of their current behaviors and attempt to maximize utility from their intertemporal consumption choices. Conversely, myopic addicts tend toward immediate gratification and fail to fully recognize the future consequences of their current consumption. In lieu of conducting self-report surveys or aggregate-level demand estimation, this research examines addictive behaviors on the basis of consumption quantity at an individual level. To empirically validate rational addiction in the context of social app consumption, we collect and analyze 13-month, individual-level panel data on the weekly app usage of thousands of smartphone users. Results indicate that the average social app user conducts herself in a forward-looking manner and rationally adjusts consumption over time to derive optimal utility. The subgroup analysis, however, indicates that substantial variations in addictiveness and forward-looking propensities exist across demographically diverse groups. For example, addictive behaviors toward social network sites are more myopic in nature among older, less-educated, high-income groups. Additionally, the type of social app moderates the effects of demographic characteristics on the nature of addictive behaviors. We provide implications that policymakers can use to effectively manage mobile addiction problems, with the recommendations focusing on asymmetric social policies (e.g., information- and capacity-enhancing measures).
    Materialart: Online-Ressource
    ISSN: 1047-7047 , 1526-5536
    Sprache: Englisch
    Verlag: Institute for Operations Research and the Management Sciences (INFORMS)
    Publikationsdatum: 2016
    ZDB Id: 2027203-0
    SSG: 3,2
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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