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  • 1
    UID:
    (DE-627)1833470133
    Format: 1 Online-Ressource (37 p)
    Content: This research examines the impact of switching costs on vendor choice in the market for routers and switches. We show that despite the use of open standards which attempt to enhance interoperabilities for equipments from different vendors, vendors in this market are able to maintain high switching costs. Because routers and switches are networked goods, switching costs may arise from prior investments made at the same establishment and/or at other establishments within the same firm. We study how the introduction of switches into the LAN market affected vendor choice in routers. In particular, we provide evidence of significant cross-product switching costs and sizeable shopping costs when buyers purchase routers and switches simultaneously. However, we also show that the introduction of switches may have temporarily reduced switching costs for router buyers investing in switches
    Note: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 2003 erstellt
    Language: English
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  • 2
    UID:
    (DE-627)1810264456
    Format: 1 Online-Ressource (48 p)
    Content: By connecting people across the globe, social technologies enable people to share information instantaneously and experience “in the moment” events virtually. In the context of COVID-19, sharing localized disaster information allows socially connected friends in other non/low affected areas to learn and virtually feel the “disaster”, which in turn can increase their awareness and enhance their preventive behavior, even when they do not face immediate risk. The goal of this paper is to investigate if and to what extent social connectedness influences people’s preventive behavior, while controlling for physical connectivity, which presents an immediate threat to people physically connected to a highly affected area. To this end, we employ two complementary studies and distinguish local and social information channels and measure physical and social information intensity respectively. The stronger the information signals about COVID from information sources and the higher the connectivity, the stronger the information intensity. In Study 1, we find that, after accounting for the physical information intensity which correlates with physical virus transmission risk in the local area or from geographic neighbors, social information intensity about COVID, as measured by the volume of COVID-19 cases or COVID-related Tweets in socially connected areas, can significantly increase people’s preventive behavior in the focal area. Further, the effect of social information intensity is more pronounced for those individuals living in areas with better digital infrastructure. In Study 2, we provide evidence regarding the mechanism of why and how information shared via social technologies help shape preventive behavior. We find that when social information is expressed in a subjective way, it makes people more likely to feel the virus threat “in the moment” and adopt preventive behavior. Furthermore, social information intensity about COVID significantly increases people’s awareness and perceived risk towards COVID, which in turn lead to more preventive behavior. Our additional analysis suggests that social information intensity plays a significant positive role in preventing the spread of COVID-19. Our paper contributes to the emerging literature on how to enhance societal resilience in facing catastrophic events by highlighting the increasingly important role of social technology in shaping public perception and response
    Note: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments April 15, 2022 erstellt
    Language: English
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  • 3
    UID:
    (DE-627)538365439
    Format: graph. Darst.
    ISBN: 0444517715
    In: Economics and information systems, Amsterdam [u.a.] : Elsevier, 2006, (2007), Seite 437-470, 0444517715
    In: 9780444517715
    In: year:2007
    In: pages:437-470
    Language: English
    Keywords: Aufsatz im Buch
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  • 4
    UID:
    (DE-627)1836917961
    Format: 1 Online-Ressource (33 p)
    Content: This paper investigates the impact of collaborative-filtering-based recommendation systems and consumer feedback mechanisms, two technologies commonly adopted by online retailers, on sales. With data from Amazon.com, we find evidence that more collaborative-filtering-based recommendations are associated with higher sales at Amazon.com, while sales also contributes to recommendations. On the other hand, consumer ratings do not directly correlate to sales. Instead, high ratings that are validated by a large number of reviews have a positive effect on sales. Furthermore, we find that the effects of collaborative-filtering-based recommendations on sales are stronger for books that have fewer reviews and are less popular. Because less-reviewed, and less-popular books generally have less information available and are usually less accessible to buyers when compared to well-reviewed best sellers, recommendations based on collaborative filtering technology may be a more important source of information for buyers. This finding suggests that collaborative filtering technology has the potential to make up for the inefficiency of consumer feedback mechanisms by supplementing information for consumers to make decisions. Our findings also suggest that an efficient and effective selling strategy is to promote early sales, especially to customers with a long history of book buying because sales to someone with no history provides little data for collaborative filtering. Overall, our results provide important strategic implications for vendor strategies to design and use these technologies
    Note: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments July 8, 2007 erstellt
    Language: English
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  • 5
    UID:
    (DE-605)HT017130215
    Uniform Title: Ich bin another yourself
    Note: Aufn.: Jan. 2009
    In: Pei-Yu Shi [Elektronische Ressource], Karlsruhe [u. a.], 2009
    Language: Undetermined
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  • 6
    UID:
    (DE-627)778123634
    Format: graph. Darst.
    ISSN: 0278-4319
    In: International journal of hospitality management, Amsterdam [u.a.] : Elsevier, 1982, 36(2014) vom: Jan., Seite 221-230, 0278-4319
    In: volume:36
    In: year:2014
    In: month:01
    In: pages:221-230
    Language: English
    Keywords: Aufsatz in Zeitschrift
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  • 7
    UID:
    (DE-627)769007023
    Format: graph. Darst.
    ISSN: 1047-7047
    In: Information systems research, Catonsville, MD : INFORMS, 1990, 24(2013), 3 vom: Sept., Seite 750-767, 1047-7047
    In: volume:24
    In: year:2013
    In: number:3
    In: month:09
    In: pages:750-767
    Language: English
    Keywords: Aufsatz in Zeitschrift
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  • 8
    UID:
    (DE-627)1835818749
    Format: 1 Online-Ressource (32 p)
    Content: Online reviews and ratings help consumers learn more about products. However, mixed findings have been found regarding the effects of ratings on consumer decision-making. Such lack of effect may be due to the limitation of single-dimensional ratings. This paper aims to explore whether multi-dimensional ratings help reconcile the mixed findings and empirically examine the value of multi-dimensional online rating system (versus single-dimensional online rating system) from an information transfer perspective. Our key identification strategy hinges on a natural experiment that took place on TripAdvisor.com (TripAdvsior) that allows us to identify the causal effect with a difference-in-difference approach. Our key findings, first show that ratings tend to be more dispersed and are trending down in single-dimensional rating system and provide support that consumers form more accurate expectation from multi-dimensional ratings and are therefore less likely to be disappointed (resulting in lower ratings) or “surprised” (leading to higher dispersion of ratings). Second, we show that lower priced restaurants benefit more from the rating system change. The average rating of low priced restaurants increase in larger magnitude than that of high priced restaurants. Third, consumers rate a restaurant based on their experience in the least satisfied dimension in the single-dimensional rating system. However, in the multi-dimensional rating system, the ratings reflect consumers’ overall experience. The results demonstrate the information value of multi-dimensional ratings. Our study provides important implications for a better design of online WOM systems to help consumers match their preferences with product/service attributes
    Note: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments November 10, 2014 erstellt
    Language: English
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  • 9
    UID:
    (DE-627)1836871171
    Format: 1 Online-Ressource (34 p)
    Content: Piracy has been a major problem for perpetually licensed software. Usage-based licensing architecture such as pay-per-use or software-as-a-service can offer technology-based protection against piracy. We provide an analytical framework to examine the economic implications of pay-per-use versus perpetual licensing in a market with potential piracy, network effect, and heterogeneous consumers in terms of marginal usage benefit and acquisition costs for pirated software. We show that the potential piracy rate, the user inconvenience cost of pay-per-use licensing, consumer heterogeneity, and the network strength are important factors determining a vendor's optimal choice of licensing architecture. While perpetual licensing tends to be optimal when consumers have homogeneous valuations, pay-per-use is more profitable than perpetual licensing or mixed licensing in markets with heterogeneous consumers and low user inconvenience costs. If the inconvenience cost is low enough, pay-per-use will be more profitable than perpetual licensing even if the market has no potential piracy. The presence of network effect also favors pay-per-use over perpetual licensing; if the network effect is strong, pay-per-use will always dominate perpetual licensing regardless of the inconvenience cost or the potential piracy. With more heterogeneous consumers, higher potential piracy, lower inconvenience costs, and stronger network effects, pay-per-use licensing yields not only higher vendor profits but also a higher social surplus than perpetual licensing. Important managerial implications are also discussed
    Note: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments November 1, 2007 erstellt
    Language: English
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  • 10
    UID:
    (DE-605)TT003779027
    In: 2003, 108. 2003,D23, S. AAC 10-1 - AAC 10-9
    Language: English
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