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Consumer reviews are now part of everyday decision making. Yet the credibility of these reviews is fundamentally undermined when businesses commit review fraud, creating fake reviews for themselves or their competitors. We investigate the economic incentives to commit review fraud on the popular review platform Yelp, using two complementary approaches and data sets. We begin by analyzing restaurant reviews that are identified by Yelp’s filtering algorithm as suspicious, or fake—and treat these as a proxy for review fraud (an assumption we provide evidence for). We present four main findings. First, roughly 16% of restaurant reviews on Yelp are filtered. These reviews tend to be more extreme (favorable or unfavorable) than other reviews, and the prevalence of suspicious reviews has grown significantly over time. Second, a restaurant is more likely to commit review fraud when its reputation is weak, i.e., when it has few reviews or it has recently received bad reviews. Third, chain restaurants—which benefit less from Yelp—are also less likely to commit review fraud. Fourth, when restaurants face increased competition, they become more likely to receive unfavorable fake reviews. Using a separate data set, we analyze businesses that were caught soliciting fake reviews through a sting conducted by Yelp. These data support our main results and shed further light on the economic incentives behind a business’s decision to leave fake reviews. This paper was accepted by Lorin Hitt, information systems .

Recent studies found that making judgments of learning (JOLs) can reactively facilitate memory, a phenomenon termed the reactivity effect of JOLs. The current study was designed to explore (1) whether making judgments of forgetting (JOFs) can also enhance memory and (2) whether there is any difference between the reactivity effects of JOFs and JOLs. Experiment 1 found that soliciting JOFs significantly enhanced retention of single words. Experiments 2 and 3 observed minimal difference in reactivity effects between JOFs and JOLs on learning of single words and word pairs. Finally, a meta-analysis was conducted to integrate results across studies to explore whether retention of items studied with JOLs differed from that of items studied with JOFs. The meta-analytic results showed minimal difference. Overall, the documented findings imply that (1) making JOFs reactively enhances memory, and (2) there is little difference in reactivity effects between JOFs and JOLs. These findings support the positive-reactivity theory to account for the reactivity effect.

In this article, we present data from a three-mode survey comparison study carried out in 2010. National surveys were fielded at the same time over the Internet (using an opt-in Internet panel), by telephone with live interviews (using a national Random Digit Dialing (RDD) sample of landlines and cell phones), and by mail (using a national sample of residential addresses). Each survey utilized a nearly identical questionnaire soliciting information across a range of political and social indicators, many of which can be validated with government data. Comparing the findings from the modes using a Total Survey Error approach, we demonstrate that a carefully executed opt-in Internet panel produces estimates that are as accurate as a telephone survey and that the two modes differ little in their estimates of other political indicators and their correlates.

This article builds on the growing body of research on higher education for autistic students by soliciting input from autistic adults on their higher education experiences and suggestions on making these experiences more ‘autism-friendly’. Sixty-six individuals participated in a national exploratory survey and thirty-one participated in follow-up, online focus groups. The article reviews the accommodations individuals received and the accommodations they would have liked to receive. Concrete strategies are provided for institutes of higher education to address the social and sensory needs of autistic students, areas many participants reported being neglected in their academic experience, such as mentors and a neurodiverse space. These suggestions are intended to complement traditional academic accommodations to improve the outcomes of autistic students.

This study compiles the main findings in the field of academic research on pure donation-based crowdfunding (DCF) soliciting monetary contributions for charitable causes. To this purpose, a systematic literature review is conducted, resulting in 92 scientific publications analyzed for the first time in this field of research. The prevailing thematic dimensions and research gaps are identified and discussed. The incipient literature on DCF, with a majority of publications from 2015 onward in the form of empirical articles using quantitative methodologies, focuses on antecedents related to individual donors, organizational promoters as main actors, and online channels and design-related features of campaigns as enablers. However, the effects of DCF on relevant stakeholders (particularly beneficiaries and society in general) remain largely obscure. Based on this analysis, an integrated conceptual framework on DCF is proposed to guide future research. This framework, susceptible of empirical evaluation, allows characterizing the DCF as a distinct and emerging type of philanthropic funding model based on specific and novel antecedents, actors, enablers and effects.

Attempts to improve gender parity at workplaces are more effective when organizations mobilize their entire workforce, including men, to participate (i.e., speak up with ideas, volunteer, or serve as champions) in gender-parity initiatives. Yet, frequently, men are hesitant to participate in such initiatives. We explicate one reason for such hesitation on the part of men and suggest ways organizations can address this challenge. Using four studies (correlational as well as experimental), we demonstrate that men experience lower psychological standing (i.e., a subjective judgment of legitimacy to perform an action) with respect to gender-parity initiatives that leads them to participate less in such initiatives. We explain how psychological standing provides a complementary explanation to the current narrative in the literature suggesting that men’s poor participation results from sexist or discriminatory attitudes toward gender parity. We also establish that psychological standing influences participation over and above efficacy, instrumentality, and psychological safety and highlight how organizations can increase men’s participation by providing them with psychological standing when soliciting their participation in gender-parity initiatives. We discuss the implications of our findings for the literatures on gender parity, change management, and employee voice and participation. The online appendix is available at https://doi.org/10.1287/orsc.2017.1118 .

Crowdsourcing involves obtaining ideas, needed services, or content by soliciting Web-based contributions from a crowd. The 4 types of crowdsourced tasks (problem solving, data processing, surveillance or monitoring, and surveying) can be applied in the 3 categories of health (promotion, research, and care). This study aimed to map the different applications of crowdsourcing in health to assess the fields of health that are using crowdsourcing and the crowdsourced tasks used. We also describe the logistics of crowdsourcing and the characteristics of crowd workers. MEDLINE, EMBASE, and ClinicalTrials.gov were searched for available reports from inception to March 30, 2016, with no restriction on language or publication status. We identified 202 relevant studies that used crowdsourcing, including 9 randomized controlled trials, of which only one had posted results at ClinicalTrials.gov. Crowdsourcing was used in health promotion (91/202, 45.0%), research (73/202, 36.1%), and care (38/202, 18.8%). The 4 most frequent areas of application were public health (67/202, 33.2%), psychiatry (32/202, 15.8%), surgery (22/202, 10.9%), and oncology (14/202, 6.9%). Half of the reports (99/202, 49.0%) referred to data processing, 34.6% (70/202) referred to surveying, 10.4% (21/202) referred to surveillance or monitoring, and 5.9% (12/202) referred to problem-solving. Labor market platforms (eg, Amazon Mechanical Turk) were used in most studies (190/202, 94%). The crowd workers' characteristics were poorly reported, and crowdsourcing logistics were missing from two-thirds of the reports. When reported, the median size of the crowd was 424 (first and third quartiles: 167-802); crowd workers' median age was 34 years (32-36). Crowd workers were mainly recruited nationally, particularly in the United States. For many studies (58.9%, 119/202), previous experience in crowdsourcing was required, and passing a qualification test or training was seldom needed (11.9% of studies; 24/202). For half of the studies, monetary incentives were mentioned, with mainly less than US $1 to perform the task. The time needed to perform the task was mostly less than 10 min (58.9% of studies; 119/202). Data quality validation was used in 54/202 studies (26.7%), mainly by attention check questions or by replicating the task with several crowd workers. The use of crowdsourcing, which allows access to a large pool of participants as well as saving time in data collection, lowering costs, and speeding up innovations, is increasing in health promotion, research, and care. However, the description of crowdsourcing logistics and crowd workers' characteristics is frequently missing in study reports and needs to be precisely reported to better interpret the study findings and replicate them.

We conduct three behavioral laboratory experiments to compare newsvendor order decisions placed directly to order decisions submitted in a decomposed way by soliciting point forecasts, uncertainty estimates, and service-level decisions. Decomposing order decisions in such a way often follows from organizational structure and can lead to performance improvements compared with ordering directly. However, we also demonstrate that if the critical ratio is below 50%, or if the underlying demand uncertainty is too high, task decomposition may not be preferred to direct ordering. Under such conditions, decision makers are prone to set service levels too high or to suffer from excessive random judgment error, which reduces the efficacy of task decomposition. We further demonstrate that if accompanied by decision support in the form of suggested quantities, task decomposition becomes the better-performing approach to newsvendor decision making more generally. Decision support and task decomposition therefore appear as complementary methods to improve decision performance in the newsvendor context. This paper was accepted by Serguei Netessine, operations management .

Conventional theories of authoritarianism view the need to suppress criticism as a key function of censorship. In a 2013 article, King, Pan, and Roberts challenged this wisdom by arguing that the paramount goal of censorship is defusing collective action, not silencing dissent. After accounting for collective action potential, they argue that criticism has no bearing on censorship. In this research note, we point out that a significant portion of sampled posts in King et al.’s analysis coincided with state-led consultation campaigns that were aimed at soliciting critical public input on policy proposals. This introduces the potential for bias by combining solicited and unsolicited criticism under the generic title of criticism. After reanalyzing King et al.’s aggregate data, studying Chinese censorship directives, and offering a statistically guided thought experiment, we conclude that a more conservative version of their original thesis is in order.

Background Energy communities provide access to energy services, such as affordable clean energy and energy-efficiency measures. Some of these services are of particular benefit for vulnerable households struggling with high energy prices and low incomes. European energy policy stipulates an enabling framework to support energy communities offering such services to all households, explicitly soliciting the inclusion of vulnerable and low-income groups enhancing energy justice and democracy. With transposition still pending in Germany, the question remains as to what extent vulnerable groups benefit in practice. Results Based on the data from an online survey among 113 German energy communities, this paper investigates the extent to which energy communities enhance energy justice and democracy in the German energy transition. We have therefore to ask how energy communities reach out to vulnerable groups and describe the hurdles energy communities face. Even though some energy communities successfully reach vulnerable households, we show that the majority struggle to truely reach out to these groups. In the absence of regulatory support for engaging with vulnerable groups and confronted with a competitive energy market, energy communities are focussing on remaining in business. In this context, it should also be mentioned that some energy communities do not reach out to vulnerable groups to offer beneficial services that are of particular interest for the majority of them. Conclusion Based on these findings, we would like to underline the need for enabling regulations to support energy communities’ contribution to justice and democracy. An ‘enabling framework’ demands a clear taxonomy, which distinguishes different organisational and social energy community characteristics to acknowledge their social welfare-enhancing role and avoid misinterpretations and potential misuse.