reading 6 Flashcards

1
Q

online reviews as a source of information

A

the paper explores how online reviews have emerged as an important source of information for consumers. Traditional forms of information (word of mouth, professional reviews, or advertising) are being supplemented or even replaced by online platforms like yelp, where individuals can share their personal experiences. Online reviews reduce information asymmetry (when consumers have less info than sellers), thus empowering customers to make better decisions

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2
Q

Impact of yelp reviews on restaurant revenue

A

one of the core arguments of the paper is that online reviews, particularly on yelp, significantly impact restaurant revenue. The research presents a statistical analysis showing that a one star increase in a restaurants yelp rating leads to a 5-9 percent increase in revenue. This is a considerable effect, demonstrating the power of user generated content in influencing consumer behavior

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3
Q

Effect on independent vs chain restaurants:

A

Lucas research finds that independent (non-chain) restaurants benefit more from yelp reviews than chain restaurants. for independent businesses, yelp provides a level playin field by offering them visibility through positive reviews. Chain restaurants, on the other hand, tend to have established reputations and brand recognition, so the effect of yelp reviews on their revenue is smaller

Reasoning: Independent restaurants rely more on word of mouth and customer feedback to attract new customers, and online reviews act as a digital extension of traditional word of mouth marketing. Without the budget for extensive advertising, independent restaurants can harness positive yelp reviews to drive business

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4
Q

conclusion (first paper yelp)

A

The main takeaway from “reviews, reputation and revenue: the case of yelp.com” is that online reviews have a significant impact on business outcomes, particularly independent restaurants. Positive yelp reviews can boost revenue while negative reviews can deter potential customers. As the role of the internet is shaping consumer decision-making grows, businesses must adapt to this new environment where reputation is more public, immediate and influential than ever before. business owners, especially those in customer facing industries, need to understand that online reputation management is a critical aspect of their overall business strategy. In short, yelp has fundamentally altered the way consumers choose where to dine and how restaurants must compete for business. Online reviews are no longer just a form of customer feedback – they are a key driver of economic sucess in the digital age

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5
Q

Importance of online revies in shaping business reputation

A

the paper builds on the idea that online reviews, particularly those found on platforms like trip advisor, yelp or expedia, play critical role in consumer decision making. Consuemrs rely heavily on user generated content to assess product quality, especially in service based industries like hospitality. Online reviews have democratized the flow of information, enabling customers to make informed choices without relying on traditional marketing. However, online reviews are not just static, they are dynamic interactions where businesses can engage with consumers, particularly through the management response function available in many review platforms. This research focuses on how businesses, especially hotels, can use responses to shpae their online reputation and influence consumer behavior

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6
Q

Study focus: responses to negative reviews: (before proof)

A

the paper specifically investigates how management responses to negative reviews affect future consumer reviews and cutsomer behavior. Negative reviews can damage a businesses reputation and deter potential customers, so how managers adress these reviews publicly is critical. By responding to negative feedback, businesses can demonstrate that they care about customer satisfaction, which might alter the perception of future customers reading the reviews

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7
Q

differences in differences approach

A

The difference-in-differences method is a quasi-experimental approach that compares the changes in outcomes over time between a population enrolled in a program (the treatment group) and a population that is not (the comparison group). It is a useful tool for data analysis.

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8
Q

Reduction in negative reviews post response (findings)

A

The research finds that when hotel managers respond to negative reviews the volume of future negative reviews significantly decreases. This suggests that potential reviewers are less likely to leave a negative review if they know that management is actively engaged and reading their comments. The mere act of responding can shift consumer behavior, likely due tot he expectation that complaints will be addressed privately rather than needing to be aired publicly

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9
Q

Increase in review scores (findings)

A

Another key finding is that the average review score increases after management starts responding to reviews. This could be for several reasons:

Potential customers may feel more inclined to give the hotel the benefit of the doubt, knowing that the business is actively managing its reputation

Consumers might hesitate to leave overly critical reviews if they expect management to reply directly

The study emphasizes that management responses are particularly effective at mitigating the impact of negative reviews, leading to an overall improvement in the hotels average rating over time

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10
Q

Influence on future consumer expectations

A

one of the papers central arguments is that management responses send a signal to future customers that the business is attentive and values customer feedback. This signaling effect alters the expectations of future customers, who may interpret management responses as an indicator of overall service quality. As a result, they may rate their experience more favorably

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11
Q

Managerial strategy (addressing negative feedback)

A

the paper provides evidence that responding to negative reviews is more impactful than responding to positive ones. Negative reviews can dissuade future customers, but a thoughtful, constructive response can help mitigate their effect. Managers should aim to address specific complaints, offer solutions, express a commitment to customer satisfaction. This engagement can also help recover dissatisfied customers and prevent future damage to the buisness reputation

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12
Q

Managerial strategy: responding quickly and professionally:

A

the timing and tone of the response also matter. The study shows that prompt, professional, and courteous responses are more effective in improving consumer perceptions than delayed dor defensive replies. Managers should avoid confrontational tones and instead focus on empathizing with the reviewers experience while showing a willingness to resolve issues

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13
Q

Impact on review fraud and bias

A

another interesting aspect of the study is its discussion on review manipulation or bias. The research notes that some businesses might be tempted to fabricate positive reviews or artificially supress negative ones. However, management responses provide a more legitimate way for businesses to manage their online reputations. By engaging transparently with customers through responses, businesses can build trust and reduce the temptation or necessity to resort to unethical practices like review fraud.

Additionally, the paper highlights that when businesses start responding to reviews, it deters customers from leaving overly exaggerated negative feedback, as the expectation of a response often leads to more balanced and measured reviews. this may reduce the occurrence of emotionally charged or unfairly harsh reviews, contributing to a more accurate representation of the business’s quality

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14
Q

Reputation as an asset:

A

the paper emphasizes that online reputation is na asset that businesses must actively manage. A business’s public response to reviews are an extension of its brand, and these interactions can shape customer perceptions just as much as traditional marketing campaigns. Repuration management in the digital age requires continuouos monitoring and engagement with customers across multiple review platforms

Long term strategy: management responses can have a long lasting effect on how a business is perceived, influencing both short-term custoemr satisfaction and long term loyalty. Customers who see businesses responding actively to compaints are more likely to view them as professional and trustworthy, increasing the likelihood of repeat business and positive word of mouth

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15
Q

Review manipulation as a marketing st rategy

A

the core theme of the paper is that businesses, particularly in highly competitive industries, often engage in review manipulation to enhance their online reputation. These promotional reviews are typically fake, written by the businesses themselves or paid reviewers to artificially inflate their ratings. The paper seeks to understand the prevalence of these reviews, who engages in them and the effect they have on consumer decision making

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16
Q

Incentives for manipulation

A

the paper posits that firms are motivated to manipulate reviews because fo the strong correlation between online reputation and revenue. High ratings on platforms like yelp, trip advisor, or amazon can drive sales, while negative reviews can deter potential customers. The competitive nature of online marketplaces, where consumers rely heavily on reviews to make purchasing ecisions , creates a powerful incentive for businessess to engage in unethical practices such as review manipulation

17
Q

Detecting review manipulation

A

a significat part of the study involves developing methodologies to detect promotional reviews. Since review manipulation is often covert, the authors use several innovative techniques to identify it.

Discrepancies across platforms: the study compares review patterns on different platforms It argues that firms may manipulate reviews more heavily on less regulated or smaller platforms where detection is less likely. For example, a business might have an unusually high rating on one platform and a much lower rating on a stronger anti manipulation system

Unusual review patterns: the researchers look for abnormal review patterns such as a sudden spike in positive reviews after a string of negative ones, a large number of reviews posted in a short time or reviews that appear overly promotional, generic or lack detail

18
Q

Findings on review manipulation: manipulation is more common on

A

open platforms. the study finds strong evidence that review manipulation is more prevalent on platforms taht do not require purchase verification like trip advisor. These platforms are easier targets for businesses attempting to inflate their ratings with fake positive reviews or deflate competitors ratings through negative reviews. By contrast, platforms with stricter review policies, such as expedia, exhibit less manipulation due the the verification process that makes it harder for fake reviewers to submit feedback

19
Q

Findings on review manipulation: smaller and independent firms are

A

more likely to manipulate: the research suggests that smaller independent hotels are more likely to engage in review manipulation compared to large chains. Large hotel chains typically have established reputations and brand recognition, which reduces the need to manipulate reviews. Independent hotles on the other hand, often rely more heavily on online reviews to attract customers, making them more susceptible to engaging in manipulation as a survival strategy

20
Q

findings on review manipulation: negative campaigns against competitors

A

interestingly, the study also finds evidence of negative review manipulation, where businesses post fake negative reviews about their competitors. This kind of “attack” manipulation is more likely to happen in highly competitive markets, where businesses see their competitors success has a direct threat tot heir own. By dragging down the ratings of competitors, businesses hope to gain a competitive advantage

21
Q

Impact of manipulation on consumers and businesses: misleading consumers

A

One of the most significant implications of review manipulation is that it misleads consumers. Fake positive reviews inflate a business’s perceived quality, causing consumers to make decisions based on inaccurate information. The study highlights how promotional reviews distors the credibility of online platforms, making it harder for consumers to distinguish between legitimate feedback and fake praise

22
Q

Impact of manipulation on consumers and businesses: long term effects on trust

A

over time, widespread manipulation can erode consumer trust in online review systems. If consumers realize that a platform is full of fake reviews, they may stop using it altogether or turn to alternative sources of information. This can damage the platforms reputation and reduce its effectivness as a tool for both consumers and businesses.

23
Q

Impact of manipulation on consumers and businesses: short term gains for businesses

A

in the short term, businesses that engage in review manipulation may see temporary gains in revenue. A sudden surge of positive reviews can increase visibility, attract more customers and boost sales. however, this strategy carries risks: if fake reviews are detercted, businesses may face penalties from the platform or suffer long-term reputational damage

24
Q

Platform response to manipulation

A

the paper also examines how review platforms are responding tot he issue of manipulation. Platforms like tripadvisor and yelp have implemented algorithms to detect fake reviews and flag suspicious activity. some platforms also employ manual review moderation teams to remove fraudulent content. However, the effectiveness of these measures varies, and businesses continue to find ways to game the system

25
Q

The role of online reviews in marketplaces

A

The reserach emphasizes the critical importance of online reviews in peer-to-peer marketplaces like aribnb. Reviews provide crucial information to potential customers about the qulaity of listings, allowing them to make more informed decisions. IN such markets reviews can serve as a substitute for direct customers service, inspections, or regulatory oversight. Therefore, ensuring an adequate number of reviews–and their reliability–plays a significant role in the markets overall efficiency

26
Q

Problem of underreporting

A

A significant issue in online marketplaces is that many trasnactions go unreviewed. this problem, known as “underreporting bias”, can lead to a lack of transparency about the quality of goods and services. On airbnb for example not all guests leave reviews, which means that future customers have less information when deciding which property to book. The authors explore whether incentivizing guests to leave reviews can reduce this underreporting and provvide more comprehensive information to future users

27
Q

incentives increase…

A

the volume of reviews: the study finds that offering incentives to guests significantly increases the number of reviews left on the platform. IN the treatment group (guests who receive an incentive), the review submission rate was much higher compared to the control group. This suggests that a lack of reviews on platforms like Airbnb is partly due to the “hassle cost” of writing a review, which can be mitigated by providing some form of incentive or reminder

Effect size: the magnitude of the increase in reviews was substantial, with a clear difference in review volume between the incentivized group and thhe non-incentivized group

28
Q

Incentivized reviews are just as informative

A

contrary to the concern that incentivized reviews might be of lower quality or skew positive, the study finds that reviews submitted due to incentives were equally informative. The incentivized reviews were similar in length and level of detail to non-incentivized ones, meaning that offering an incentive did not result in shorter or less meaningful reviews

29
Q

Incentives do not skew review sentiment

A

One major concern was that incentives could lead to biased reviews – specifically, that guests might leave overly positive reviews to reciprocate for receiving an incentive. However, the study found no significant difference in the average ratings between the treatment and control groups. The distribution of ratings remained largely the same, indicating that incentivized guests did not systematically leave more positive reviews

Neutral ratings: the study even found that the incentivized reviews included a healthy number of neutral or negative reviews, which suggests that guests were still honest in their assessments even when offered an incentive

30
Q

positive impact on market efficiency

A

the increased number of reviews generated by incentives had a positive impact on the overall transparency of the marketplace. more reviews mean that future guests have access to more comprehensive infomration when deciding which property to book, leading to a more informed market. As a result, properties with consistently positive reviews may attrack mroe bookings while those with negative reviews mightsprompt hosts to improve their services to remain competitive

market signaling: The greater volume of revies helps reduce information asymmetry, where potential geusts previously had limited information about the quality of certian properties. this increased transparency can help improve market efficiency by ensuring taht high-quality listings are more easily identified, while lower-quality listings are held accountable

31
Q

Implications for hosts

A

for hosts, theexperiment suggests that incentivising guests to leave reviews oculd be a useful strategy for improving their online presence. More revies can increase the visibility of a listing on the platform and provide valuable feedback tat can be used to improve the guest experience. Additionally, since the study found no evidence of skewed positivity, hosts can confidently offer incentives without worrying about distoring their overall review score

32
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A