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The use of digital information and communication technologies would be the traces of a social acceptability of the exploitation of all data, in the context of negotiations of uses. This is the reason why the users present themselves actors and contributors of the hyperconnectivity. We would thus witness a new form of dissemination, inviting user experience and social innovations. It is thus the victory of subordination by negotiated renunciation; A new form of serving, no longer that of the 1980s, with the counters and other services, which have become uncontrolled services - excepted when the users are overcome by restrictive ergonomics, revealing too much the subordination device - which joins the prescription apparently without an injunction. The lure is at its height when users and broadcasters come together to produce the services and goods, composing the business model, until the very existence of the companies, in particular the pure players. Crowdsourcing becomes legitimate: consumers create the content, deliver the data, the basis of the service sold (in a painless way because free access most of the time, indirect financing), the providers make available and administer the service, networks, Interfaces (representing considerable costs), also reputation to attract the attention of other consumers or contributors. In these conditions, the environmental stakes are considerable, so we propose another way of considering them, not as they are dealt with - material and pollution - but according to the prism of the relational practices analyzed in this volume.

We investigate the relationship between a firm’s use of management responses and its online reputation. We focus on the hotel industry and present several findings. First, hotels are likely to start responding following a negative shock to their ratings. Second, hotels respond to positive, negative, and neutral reviews at roughly the same rate. Third, by exploiting variation in the rate with which hotels respond on different review platforms and variation in the likelihood with which consumers are exposed to management responses, we find a 0.12-star increase in ratings and a 12% increase in review volume for responding hotels. Interestingly, when hotels start responding, they receive fewer but longer negative reviews. To explain this finding, we argue that unsatisfied consumers become less likely to leave short indefensible reviews when hotels are likely to scrutinize them. Our results highlight an interesting trade-off for managers considering responding: fewer negative ratings at the cost of longer and more detailed negative feedback. Data and the online appendix are available at https://doi.org/10.1287/mksc.2017.1043 .

\"The information context of the modern organization is rapidly evolving in the face of intense global competition. Information technologies, including databases, new telecommunications systems, and software for synthesizing information, make a vast array of information available to an ever expanding number of organizational members. Management's exclusive control over knowledge is steadily declining, in part because of the downsizing of organizations and the decline of the number of layers in an organizational hierarchy. These trends, as well as issues surrounding the Web 2.0 and social networking, mean that it is increasingly important that we understand how informal knowledge networks impact the generation, capturing, storing, dissemination, and application of knowledge. This innovative book provides a thorough analysis of knowledge networks, focusing on how relationships contribute to the creation of knowledge, its distribution within organizations, how it is diffused and transferred, and how people find it and share it collaboratively\"--Provided by publisher.

Online search intermediaries, such as Amazon or Expedia, use rankings (ordered lists) to present third-party sellers’ products to consumers. These rankings decrease consumer search costs and increase the probability of a match with a seller, ultimately increasing consumer welfare. Constructing relevant rankings requires understanding their causal effect on consumer choices. However, this is challenging because rankings are endogenous: consumers pay more attention to highly ranked products, and intermediaries rank the most relevant products at the top. In this paper, I use the first data set with experimental variation in the ranking from a field experiment at Expedia to make three contributions. First, I identify the causal effect of rankings and show that they affect what consumers search, but conditional on search, do not affect purchases. Second, I quantify the effect of rankings using a sequential search model and find an average position effect of $1.92, which is lower than literature estimates obtained without experimental variation. I also use model predictions, data patterns, and a feature of the data set (opaque offers) to show rankings lower search costs, instead of affecting consumer expectations or utility. Finally, I show a utility-based ranking built on this model’s estimates benefits consumers and the search intermediary. Data and the online appendix are available at https://doi.org/10.1287/mksc.2017.1072 .

Firms have considered various forms of incentives for writing reviews, including the use of extrinsic rewards to attract reviewers. Building on this literature, we study the implications of monetary incentives on online reviews in the context of a natural experiment, where one review platform suddenly began offering monetary incentives for writing reviews. We refer to this as the treated platform. Along with data from Amazon.com and using the difference-in-differences approach, we compare the quantity and quality of reviews before and after rewards were introduced in the treated platform. We find that reviews are significantly more positive but that the quality decreases. Taking advantage of the panel data, we also evaluate the effect of rewards on existing reviewers. We find that their level of participation after monetary incentives decreases but not their quality of participation. Last, even though the platform enjoys an increase in the number of new reviewers, disproportionately more reviews appear to be written for highly rated products. The online appendix is available at https://doi.org/10.1287/isre.2017.0750 .

Learn Amazon Web Services in a Month of Lunches guides you through the process of building a robust and secure web application using the core AWS services you really need to know. You'll be amazed by how much you can accomplish with AWS!

During the past two decades, the internet has become an accepted way to purchase products and services. Buying medications online are no exception. Besides its benefits, several patient safety risks are linked to the purchase of medicines outside the traditional supply chain. Although thousands of internet pharmacies are accessible on the web, the actual size of the market is unknown. Currently, there is limited data available on the use of internet pharmacies, the number, and attitude of people obtaining medications and other health products from the internet. This study aims to gather information on the frequency and attitudes of patients purchasing medications online in a nationally representative sample of outpatients. Attitudes towards main supply chain channels, perceived benefits, and disadvantages of influencing online medication purchase are evaluated. A cross-sectional explorative study using a personally administered survey was conducted in a representative sample of Hungarian outpatients in 2018. A total of 1055 outpatients completed the survey (response rate 77.23%). The mean age was 45 years, and 456 (43.22%) reported having chronic health conditions. The majority (872/1055, 82.65%) of the respondents were aware that medications could be obtained online, but only 44 (4.17%) used the internet for previous medication purchases. Attitudes towards the different pharmaceutical supply chain retail channels showed significant differences (P<.001), respondents accepted retail pharmacy units as the most appropriate source of medications while rejected internet pharmacies. Respondents were asked to evaluate 9 statements regarding the potential benefits and disadvantages about the online medicine purchase, and based on the computed relative attitude rate there is a weak still significant tendency toward rejection (P<.001). Correspondence of demographic factors, internet usage behavior, and prospective online drug purchase attitude was evaluated. Respondents who use the internet more and purchase goods online will be more likely to buy medications online. Furthermore, youth and education will determine the medication purchase behavior. Many patients will purchase medications on the internet in the future. Currently, there is an increased risk of patients buying products from illegal sites because these dominate the global online pharmacy market. Consequently, improved patient-provider communication and promotion campaigns are needed to inform the public about the safe use of internet pharmacies, as these initiatives can directly prevent patient safety threats.

We examine the effect of managerial response on consumer voice in a dynamic quality environment. We argue that the consumer is motivated to write reviews not only because reviews may impact other consumers, but because reviews may impact the management and the quality of the service. We examine this empirically in a scenario in which reviewers receive a credible signal that the service provider is listening. Specifically, we examine the “managerial response” feature allowed by many review platforms. We hypothesize that managerial responses will stimulate reviewing activity and, in particular, will stimulate negative reviews that are seen as more impactful. This effect is further heightened because managers respond more and in more detail to negative reviews. Using a multiple-differences specification, we show that reviewing activity and particularly negative reviewing is indeed stimulated by managerial response. Our specification exploits comparison of the same hotel immediately before and after response initiation and compares a given hotel’s reviewing activity on sites with review response initiation to that on sites that do not allow managerial response. We also explore the mechanism behind the effect using an online experiment. Data and the online appendix are available at https://doi.org/10.1287/mksc.2018.1090 .