Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Series Title
      Series Title
      Clear All
      Series Title
  • Reading Level
      Reading Level
      Clear All
      Reading Level
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
      More Filters
      Clear All
      More Filters
      Content Type
    • Item Type
    • Is Full-Text Available
    • Subject
    • Country Of Publication
    • Publisher
    • Source
    • Target Audience
    • Donor
    • Language
    • Place of Publication
    • Contributors
    • Location
152,203 result(s) for "Social influence."
Sort by:
Informational and Normative Social Influence in Group-Buying: Evidence from Self-Reported and EEG Data
This study examines two types of information commonly used by group-buying sites to induce purchasing. The first study indicates the number of people who have bought a deal (\"buy\" information). The second one indicates Facebook friends who \"like\" a deal (\"like\" information). The effects of the group-buying information on opinions (attitude and intention) and emotions were examined using a controlled experiment. Our results show that positive and negative \"buy\" information has an asymmetric influence on attitude and intention, whereas \"like\" information has a positive influence on intention. The presence of \"buy\" information is associated with EEG activity that is generally linked to negative emotions. However, the addition of \"like\" information is associated with EEG activity that is generally linked to positive emotions. The different effects of the two types of group-buying information can be explained by the different social influences exerted by the information.
#Crime : social media, crime, and the criminal legal system
\"As research continues to accumulate on the connections between media and crime, #Crime explores the impact of social media on the criminal legal system. It examines how media influences our perceptions of crime, the perpetration of crime, and the implementation of punishment, whilst emphasizing the significance of race, ethnicity, class, gender, and sexuality. It offers an accessible and in-depth examination of media and in each chapter there are case studies and examples from both legacy and new media, including discussions from Twitter that are being used to raise awareness of criminal legal issues. It also includes interviews with international scholars and practitioners from Australia, Belgium, and the United States to voice a range of global perspectives.\"--Back cover.
Social Influence Bias: A Randomized Experiment
Our society is increasingly relying on the digitized, aggregated opinions of others to make decisions. We therefore designed and analyzed a large-scale randomized experiment on a social news aggregation Web site to investigate whether knowledge of such aggregates distorts decision-making. Prior ratings created significant bias in individual rating behavior, and positive and negative social influences created asymmetric herding effects. Whereas negative social influence inspired users to correct manipulated ratings, positive social influence increased the likelihood of positive ratings by 32% and created accumulating positive herding that increased final ratings by 25% on average. This positive herding was topic-dependent and affected by whether individuals were viewing the opinions of friends or enemies. A mixture of changing opinion and greater turnout under both manipulations together with a natural tendency to up-vote on the site combined to create the herding effects. Such findings will help interpret collective judgment accurately and avoid social influence bias in collective intelligence in the future.
Predicting mobile social network acceptance based on mobile value and social influence
Purpose – Building upon studies of value theory and social psychology literature, the purpose of this paper is to empirically test a research model that incorporates antecedents of value (mobile convenience, service compatibility, security risk, and cognitive effort) and mobile value (utilitarian and hedonic value), and social influence (social norms and number of peers) to examine factors affecting user intention toward mobile social networking sites (SNSs). Design/methodology/approach – The proposed model was empirically evaluated using survey data collected from 318 users on their perceptions of mobile SNSs. A structural equation modeling (SEM) was used to assess the relationships of the research model. Findings – The results revealed that mobile convenience, service compatibility, security risk, and cognitive effort have a significant and indirect impact on the user acceptance of mobile SNSs through their respective paths on hedonic value and utility value. Practical implications – Mobile SNSs practitioners should focus on enhancing users’ mobile value through perceived benefits, lower perceived costs, and simultaneously developing social influence to further boost users’ intention to use for mobile social networking services. Originality/value – This study contributes to a theoretical understanding of factors that explain users’ intention to use the mobile SNSs.
The influential mind : what the brain reveals about our power to change others
\"We all have a duty to affect others--from the classroom to the boardroom to social media. But how skilled are we at this role, and can we become better? It turns out that many of our instincts--from relying on facts and figures to shape opinions, to insisting others are wrong or attempting to exert control--are ineffective, because they are incompatible with how peoples minds operate. Sharot shows us how to avoid these pitfalls, and how an attempt to change beliefs and actions is successful when it is well-matched with the core elements that govern the human brain\"--Amazon.com.
Online reviews and impulse buying behavior: the role of browsing and impulsiveness
Purpose Online reviews have shown important information that affects consumers’ online shopping behavior. However, little research has examined how they may influence consumers’ online impulse buying behavior. The purpose of this paper is to bring theoretical and empirical connections between them. Design/methodology/approach The framework of this study was tested on three popular online group shopping websites in China (ju.taobao.com, dianping.com, and meituan.com). An online survey with 315 participants who had experience using these websites was recruited to verify the effects of consumers’ perceived value from reading online reviews on urge to buy impulsively and impulse buying behavior. Findings The empirical findings show that consumers’ perceived utilitarian and hedonic value from reading online reviews enhance their browsing behavior. Browsing positively affects consumers’ urge to buy impulsively and finally affects their impulse buying behavior. Further, this study finds that consumers with high impulsiveness focus more on hedonic value of online reviews, whereas consumers with low impulsiveness put more emphasis on utilitarian value. Browsing demonstrates a stronger effect on urge to buy impulsively for consumers with high impulsiveness. Originality/value This study is one of the early studies to investigate the relationship between social influence (e.g. influence of online reviews) and impulse buying. It draws upon the perspectives of browsing and consumer’s perceived value from the literature. This research also considers consumer differences regarding the level of impulsiveness.
Are personal innovativeness and social influence critical to continue with mobile commerce?
Purpose – The purpose of this paper is to report a study investigating the impact of personal innovativeness in information technology (PIIT) and social influence on user continuance intention toward mobile commerce (m-commerce) in the USA. Design/methodology/approach – A survey was conducted among undergraduate and graduate mobile users in a regional university. Structural equation modeling procedures were deployed to analyse 323 valid data points. Findings – The study found that among well-educated m-commerce users, user personal innovativeness as measured by PIIT and perceived usefulness, the determinants of initial adoption, remain as strong determinants of user continuance intention. PIIT also remains as the antecedent of perceived ease of use. Social influence has changed the pattern of influence on continuance intention. Research limitations/implications – This study is unable to investigate m-commerce user expectations and satisfaction levels. The small and convenient sample does not offer guarantee of the findings. Practical implications – M-commerce providers should pay adequate attention to personal innovativeness, since it affects mobile user willingness and capability to welcome and adapt to new services and features. They should always utilize social channels to gather feedback, to distribute new changes or features, and to exert positive influence. Originality/value – This study is one of the few examining the effect of PIIT in a post-adoption context and confirms its long-term psychological influence on continuance intention toward m-commerce. This study is also one of the initial to use discursive power perspective to study social influence on continuance intention in the mobile context.