Relevant bibliographies by topics / Word of mouth

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Word of mouth'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Word of mouth"

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Chong Lim, Boon, and Cindy M.Y. Chung. "Word-of-mouth." Asia Pacific Journal of Marketing and Logistics 26, no. 1 (January 7, 2014): 39–53. http://dx.doi.org/10.1108/apjml-02-2013-0027.

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Purpose – This research was designed to expand the understanding of how brand familiarity may affect the motivation to process word-of-mouth (WOM) information in brand evaluation. The pre-WOM brand attitude certainty is expected to explain the moderation effect. The paper aims to discuss these issues. Design/methodology/approach – Two experiments were conducted. The study participants were undergraduate students from a major university in Singapore. The main statistical analysis was done using a two-way analysis of covariance. Findings – The results of Experiments 1 and 2 support the prediction that consumers are more likely to use the perceived expertise of the WOM sender to evaluate an unfamiliar brand vs a familiar brand. Experiment 2 also provides some preliminary evidence that this interaction effect may be due to the difference in certainty of the study respondents in regards to the pre-WOM evaluation of unfamiliar and familiar brand. Research limitations/implications – This manipulation method of presenting WOM in a printed format may understate the impact of WOM. A more vivid manipulation of WOM that allows for a feedback loop may be considered for future research. Practical implications – The results highlight the importance of considering the strength dimensions of brand attitudes (e.g. attitude certainty) in the marketplace. For marketers of unfamiliar brands, source factors (e.g. expertise of WOM sender) are important to consider for effective use of WOM to market their products. For familiar brands, source factors are less relevant. Originality/value – This paper highlights the importance of considering attitude certainty and the subsequent malleability of attitude toward new information about the brand in the marketplace. Hence, marketers and researchers who are interested in changing brand attitude should take meta-attitude factors into consideration.
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Creelman, James. "Word of mouth." Managing Service Quality: An International Journal 2, no. 5 (May 1992): 299–301. http://dx.doi.org/10.1108/09604529210029551.

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Meuter, Matthew L., Deborah Brown McCabe, and James M. Curran. "Electronic Word-of-Mouth Versus Interpersonal Word-of-Mouth: Are All Forms of Word-of-Mouth Equally Influential?" Services Marketing Quarterly 34, no. 3 (July 2013): 240–56. http://dx.doi.org/10.1080/15332969.2013.798201.

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Kawakami, Tomoko, Kazuhiro Kishiya, and Mark E. Parry. "Personal Word of Mouth, Virtual Word of Mouth, and Innovation Use." Journal of Product Innovation Management 30, no. 1 (October 17, 2012): 17–30. http://dx.doi.org/10.1111/j.1540-5885.2012.00983.x.

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Keller, Ed, and Brad Fay. "Word-of-Mouth Advocacy." Journal of Advertising Research 52, no. 4 (December 2012): 459–64. http://dx.doi.org/10.2501/jar-52-4-459-464.

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Weiber, Rolf, and Tobias Wolf. "Word-of-Mouth Marketing." WiSt - Wirtschaftswissenschaftliches Studium 42, no. 4 (2013): 210–12. http://dx.doi.org/10.15358/0340-1650_2013_4_210.

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Groeger, Lars, and Francis Buttle. "Word-of-mouth marketing." European Journal of Marketing 48, no. 7/8 (July 8, 2014): 1186–208. http://dx.doi.org/10.1108/ejm-02-2012-0086.

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Purpose – The paper aims to provide a theoretically informed critique of current measurement practices for word-of-mouth marketing (WOMM) campaigns. Design/methodology/approach – An exploratory field study is conducted on a real-life WOMM campaign. Data are collected from two generations of campaign participants using a custom-built Facebook app and subjected to social network analysis (SNA). We compare our theoretically informed measure of campaign reach with industry standard practice. Findings – Standard metrics for WOMM campaigns assume campaign reach equates to the number of campaign-related conversations. These metrics fail to allow for the possibility that some participants may be exposed multiple times to campaign-related messaging. In this exploratory field study, standard metrics overestimate campaign reach by 57.5 per cent. The campaign is also significantly less efficient in terms of cost-per-conversation. SNA shows that multiple exposures are associated with transitivity and tie strength. Multiple exposures mean that the total number of campaign-related conversations cannot be regarded as equivalent to the number of individuals reached. Research limitations/implications – SNA provides a sound theoretical foundation for the critique of current WOMM measurement practices. Two social-structural network attributes – transitivity and tie strength – inform our critique. A single WOMM campaign provides the field study context. Practical implications – The findings have significant implications for the development and deployment of WOMM effectiveness and efficiency metrics and are relevant to WOMM agencies, agency clients and the Word-of-Mouth Marketing Association. Originality/value – This is the largest field study of its kind having collected data on >5,000 WOMM campaign-related conversations. Participants specified precisely whom they spoke to about the campaign and the strength of that social tie. This is the first SNA-informed critique of standard WOMM campaign measurement practices and first quantification of offline multiple exposures to a WOMM campaign. We demonstrate how standard campaign metrics are based on the false assumption that word-of-mouth flows exclusively along intransitive ties.
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Simpson, Penny M., and Judy A. Siguaw. "Destination Word of Mouth." Journal of Travel Research 47, no. 2 (July 7, 2008): 167–82. http://dx.doi.org/10.1177/0047287508321198.

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Ring, Amata, Aaron Tkaczynski, and Sara Dolnicar. "Word-of-Mouth Segments." Journal of Travel Research 55, no. 4 (December 10, 2014): 481–92. http://dx.doi.org/10.1177/0047287514563165.

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Banerjee, Abhijit, and Drew Fudenberg. "Word-of-mouth learning." Games and Economic Behavior 46, no. 1 (January 2004): 1–22. http://dx.doi.org/10.1016/s0899-8256(03)00048-4.

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Dissertations / Theses on the topic "Word of mouth"

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Jönsson, Joakim. ""Word of mouth" : Hur påverkas hotellgäster av "word of mouth"." Thesis, Örebro University, Department of Restaurant & Culinary Arts, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-4878.

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Detta arbete kommer att ta upp området muntlig marknadsföring, eller som det kallas internationellt ”word of mouth”, som en metod för att beskriva kunders medverkan till att marknadsföra ett tjänsteföretag, som t.ex. hotell. Begreppet marknadsföring innebär en rad aktiviteter som ett företag utför, för att locka kunder. En del av dessa aktiviteter kan vara annonsering, eller broschyrer, som hotellet delar ut.

Syftet med undersökningen är att se hur ett hotells gäster har fått kunskap om hotellet och hur ”word of mouth” (WOM) har påverkat dem i sitt val.

Den metod och det material som har använts är en enkät som har delats ut och besvarats av gäster på ett hotell vilket är beläget i Eskilstuna.

Resultatet av undersökningen visar att de flesta av de personer som deltog var positiva till ”word of mouth”.

Slutsatsen av denna undersökning är att ”word of mouth” påverkar kunder som bor, eller ska bo, på ett hotell. Men även blivande kunder påverkas, i och med att de får rekommendationer av andra. Därför kan det vara klokt av hotell som vill ha fler kunder att satsa på ”word of mouth” marknadsföring.

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Hughes, Rolf. "Word of Mouth and and imaginary flanerie : on reading Word of Mouth." Thesis, University of East Anglia, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386096.

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Asp, Susanna, and Elin Johansson. "Blod, svett, tårar… och Word of Mouth? : Att arbeta aktivt med Word of Mouth." Thesis, Högskolan i Borås, Institutionen Textilhögskolan, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20721.

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Det blir allt svårare för företag att särskilja sig på marknaden. Traditionell marknadsföring är inte längre lika effektiv som förr, och idag finns flera olika strategier för att sticka ut i bruset. Kring varumärken och produkter skapas ofta ett rykte, som ibland antingen kan vara positivt eller negativt. Ibland har detta rykte uppkommit utan påverkan ifrån företaget, men det finns även strategier för att skapa och påverka sitt eget rykte. Ett positivt rykte kan leda till ökad försäljning och vinst. Syftet med denna studie är att undersöka hur företag kan arbeta aktivt med denna typ av ryktesspridning, det vill säga Word of Mouth. Vi vill även undersöka om Word of Mouth behöver kompletteras med andra marknadsföringsstrategier, eller om den ensam är tillräcklig.Tidigare forskning har framför allt behandlat vad som påverkar konsumenter att sprida ett rykte. Buzz Marketing, som kan definieras som ett aktivt arbete med Word of Mouth, är ett område som fortfarande är relativt outforskat. Desto mindre forskning har gjorts med konfektionsbranschen som undersökningsområde. Därav ligger det i vårt intresse att studera denna del av marknaden. Inom den berörda teorin nämns vikten av att arbeta med ryktesspridning, både genom att generera positiv Word of Mouth, samt förhindra negativ Word of Mouth. Det finns olika strategier företag kan använda sig av för att bidra till positiv ryktesspridning, där den enklaste formen är att be nöjda kunder föra ryktet vidare till sin omgivning. Andra former som kräver mer aktivitet från företagets sida är att tillverka tilläggsprodukter, anordna fester samt olika typer av marknadsföringsprojekt.Till vår undersökning har vi genomfört intervjuer med utvalda företag inom konfektions- och skobranschen. Dessa är Dr Denim Jeansmakers, The Stray Boys, Ljung, Tailor Store och SCDG AB. Empirin behandlar hur dessa företag aktivt arbetar med Word of Mouth och hur de ser på denna typ av ryktesspridning. De intervjuade företagen berättar om de tror att Word of Mouth är en god marknadsföringsstrategi, eller om den är otillräcklig.Det finns flera sätt att se på Word of Mouth och att arbeta med ryktesspridning. De intervjuade företagen arbetar förhållandevis lite med denna marknadsföringsstrategi och endast ett fåtal kan ge konkreta exempel på metoder de använder sig av. Dock visar både teori och empiri på vikten av att arbeta med ryktesspridning och att minska negativt Word of Mouth. Flera av de intervjuade företagen bevisar att enbart arbeta med Word of Mouth räcker som marknadsföring, dock är detta tydligt kopplat till företagets vision, målgrupp och storlek. Huruvida effekten av Word of Mouth går att mäta eller ej råder det delade meningar om. Vissa hävdar att det går att förlita sig på trafik på websidor och ökad försäljning, andra hävdar att detta är otillräckligt då effekten inte isoleras. Ett konkret mätinstrument existerar inte.It has become more difficult for companies to differentiate themselves on the market. Traditional marketing is no longer as effective as before, and today there are several different strategies companies can use to stand out. Reputations often occur about brands and products. This reputation can be either positive or negative. Sometimes, this reputation occurs without influence from the company, but there are several strategies for companies to use to create and shape its reputation. A positive reputation can lead to increased sales and profits. The purpose of this study is to examine how companies can actively pursue this kind of rumor-mongering - Word of Mouth. We also want to study if Word of Mouth needs to be supplemented with other marketing strategies or whether it is sufficient by itself.Previous research has mainly dealt with reasons why consumers spread rumors. Buzz Marketing, which can be defined as actively working with Word of Mouth, is an area in marketing that still is relatively unexplored. Even less research has been done with the clothing industry as a study area. Hence, it is in our interest to study this share of the market. The importance of working with the rumor mill is mentioned frequently in the theory, both by generating positive word of mouth, and how to prevent negative Word of Mouth. There are various strategies that companies can use to contribute to spreading of a positive reputation; the easiest way is to ask satisfied customers to spread the reputation about the brand to their surroundings. Other forms that require more activity by the company is to offer additional products, organizing parties and various types of marketing projects.In our study, we conducted interviews with selected companies in the apparel and footwear industry. These are Dr Denim Jeansmakers, The Stray Boys, Ljung, Tailor Store and SCDG AB. The empirical material deals with how these companies are actively working with Word of Mouth and what their perception of this kind of rumor mill is. The companies interviewed also gave their version of Word of Mouth and if they feel that it is a good marketing strategy, or if it is insufficient.There are several ways to look at Word of Mouth and work with the rumor mill. The companies we interviewed do not work with this type of marketing strategy in a large extent, and only a few can provide concrete examples of methods they use. However, both our theoretical and empirical work shows the importance of working with the rumor mill and reducing negative Word of Mouth. Several of the interviewed companies proves that only working with Word of Mouth can be sufficient, however, this is clearly linked to the company's vision, target market and size. There are different opinions about whether the effect of Word of Mouth can be measured or not. Some argue that it is possible to rely on traffic for websites and increased sales; others argue that this is not enough because the effect is not isolated. A concrete measurement tool does not exist.
Program: Textilekonomutbildningen
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Danda, Gabriel. "Word of mouth habits : the effect of past behaviour on positive electronic word of mouth." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/64837.

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The ubiquity of the internet and online social platforms has led to social media addiction where people spend significant amounts of time spend creating and consuming content online. Therefore there was need to investigate whether these habitual behaviours of online content creation relate to communications about products and services such as word of mouth. The purpose of this study was to examine whether past word of mouth behaviour can predict future behaviour and whether it can become habitual. An online survey was administered to online users for them to report on how frequently they posted their restaurant experiences and their perceptions of how much they do this automatically. By grouping the respondents into three frequency groups (low, medium, high), the results showed that past word of mouth behaviour predicted future behaviour but only through attitudes towards word of mouth. The results also demonstrated that indeed, positive electronic word of mouth can become habitual, particularly due to people expressing their self-concept as they publicly display their product consumptions. This study concludes by providing recommendations for managers and directs future research on how consumer habits can be leveraged in word of mouth communications.
Mini Dissertation (MBA)--University of Pretoria, 2017.
pa2018
Gordon Institute of Business Science (GIBS)
MBA
Unrestricted
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Bussière, Dave. "Understanding the language of word-of-mouth : a hermeneutic study of Internet-based word-of-mouth." Thesis, University of the West of England, Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438794.

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Word-of-mouth is a frequently mentioned construct in marketing research. Prior research has included numerous product categories, international settings and both consumer and business environments. Unfortunately, this understanding of word-of-mouth is largely based on positivistic, quantitative research. Previous research has generally used retrospective surveys ("Think of time when you asked for advice.... "). While this positivistic research adds to the general understanding of the transactional mechanics of word-of-mouth, it ignores information that can provide valuable insight. This is further complicated by the fact that a third of all academic WOM journal articles fail to formally define the term. Through the hermeneutic analysis of 127 actual word-of-mouth conversations found on the internet, this dissertation expands the understanding of word-of-mouth. While there is general support for previous word-of-mouth findings, there is a significant extension of understanding. This research has found evidence of the impact of anger, confusion and humour on WOM conversations -- anger, impatience, humour and sarcasm. Finally, there is evidence of WOM as more than a transaction, as a social process. This is an area of research that has not been discussed in previous WOM research. Of particular note is the fact that WOM conversations include multiple participants. These participants interact. As such, the flow of information is more complex than previously understood. WOM respondents influence other advice givers as well as the original advice giver. This influence includes current and previous interactions between the WOM participants. A dynamic model of WOM is proposed.
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Abujatum, Dueñas Paula, Cruz Macarena Fernández, Sánchez María José Lillo, and Dechent María Paz Navarrete. "Word of mouth en las redes sociales." Tesis, Universidad de Chile, 2011. http://www.repositorio.uchile.cl/handle/2250/108077.

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Seminario para Optar al Título de Ingeniero Comercial, Mención Administración
En el presente trabajo se analizan los diferentes factores que influyen al momento de confiar en aquellos comentarios que se realizan a través de las Redes Sociales; entre estos factores se encuentran: el Prestigio de la Plataforma, la Consistencia entre Comentarios y la Consistencia entre Comentarios y Compras Anteriores, así como también los Líderes de Opinión y la Frecuencia de visitas a la Plataforma. Para obtener conclusiones certeras se realizó un análisis cuantitativo a través de encuestas realizadas a distintas personas; y en base a estos resultados se logró dar respuesta a cuáles eran los factores más relevantes al momento de confiar en los comentarios del tipo eWOM. Este trabajo permitirá finalmente a las organizaciones entender cómo las campañas realizadas a través de Internet y principalmente a través de las Redes Sociales pueden tener una mayor acogida por el público; como también para mejorar el entendimiento del boca oído en las Redes Sociales tema de gran relevancia hoy en día.
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Chen, Zhu. "Social considerations in online word of mouth." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52270.

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Word of mouth (WOM) – or information shared among consumers themselves – has long been regarded as one of the most influential information sources for consumers (Brown and Reingen 1987). Unlike offline word of mouth, which typically occurs among people who know each other, online word of mouth typically occurs among strangers who do not know, and are unlikely to ever know, one other. While it is reasonable to assume that social concerns, such as maintaining relationships, are likely to influence people’s offline word of mouth behavior among familiar others, it is unclear whether social concerns dictate people’s online word of mouth behavior. In my dissertation, I look at how social considerations – thoughts about other people – affect people’s online word of mouth behavior. In the second chapter of my dissertation, I examine how people’s choice of word of mouth topic online is influenced by social considerations. Specifically, I find that while people enjoy talking about controversial topics because the topics are intrinsically interesting, people often times avoid these topics because they fear social rejection by their conversation partner. In chapter three, I examine how reviewers’ desire to appear logical (vs. imaginative) during word of mouth transmission affects their memory for the experience. I find that attempting to be logical negatively affects reviewer’s memory and this is due to the logic mindset activating verbal instead of perceptual processes during subsequent recall. In other words, impression management goals (e.g., to present oneself as a rational person) during word of mouth communication may be detrimental for people’s memory . Chapter four examines how consumer evaluations of reviews are driven by consumer beliefs about why reviews are written. I find that, in general, consumers tend to discount positive reviews because they think positive reviews are written for reviewer-specific reason such a self-enhancement or signaling expertise. When temporal contiguity cues – words and phrases indicating that the review was written immediately after the consumption experience – are present, however, people tend to give more credence to positive reviews because these cues make consumers think that the product experience, rather than reviewer-specific goals, precipitated the writing of the review. Taken together, my dissertation shows that social considerations affect both the transmission of word of mouth and the reception of online word of mouth. More generally, my dissertation showcases how thoughts about others (e.g., will others be offended?) influence consumer behavior even in situations where present and future social interactions are unlikely to occur.
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Englund, Niclas, and Oskar Hilario. "Kraften hos Word-of-Mouth : En studie om SATS användning av Word-of-Mouth marknadsföring. Kan det stärka ett varumärke?" Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-24507.

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The purpose of this research is to examine how a ogranization can create Word-of-Mouth and how they can use this type of marketing to make their brand stronger.
Med denna studie har vi till syfte att undersöka hur ett företag skapar, främjar och använder Word-of-Mouth i sin marknadsföring och om detta kan bidra till att stärka ett varumärke. Undersökningen kommer även att ha till syfte att besvara hur denna typ av marknadsföring uppfattas ur både ett företags- och medlemsperspektiv.
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Bhana, Lauren. "Factors influencing effective electronic word-of-mouth marketing." Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/14631.

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Marketing serves to satisfy customer needs and wants while building strong customer relationships in an effort to gain value from customers in return. On understanding that customer satisfaction is needed for a business to survive and grow, the important role marketing plays within a business is emphasised as it contributes to overall business performance. Building relationships also emphasises the importance of communication within marketing. Traditional person-to-person word-of-mouth communication has always played a role in marketing a product or service. The evolution of technology over recent years has enabled electronic word-of-mouth (eWOM), which is frequently carried out and has proven to be another effective marketing tool. Due to the fundamental role that marketing plays within a business and the frequent use of electronic word-of-mouth as a marketing tool it is important that business owners and marketers are aware of the factors influencing the effectiveness of it. This study explores eWOM from a marketing perspective, through investigating the factors that contribute towards the effectiveness of eWOM as a marketing tool. Therefore the primary objective of the study was to investigate the factors influencing effective eWOM marketing. A quantitative research approach was followed to empirically test the hypotheses and determine whether relationships exist between the four independent variables (factors influencing eWOM) and the dependent variable (effective eWOM marketing). A self-administered, five-point Likert-scale style structured questionnaire was used to obtain the data. The sample for this study comprised of 360 consumer respondents within the Nelson Mandela Metropole. An exploratory factor analysis extracted four valid constructs namely feedback, trustworthiness, social status and networking as the factors influencing effective eWOM marketing. Cronbach’s alphas confirmed the reliability of all extracted constructs. Most correlation results indicated moderate associations between the variables. However, effective eWOM marketing proved to have a strong correlation with social status. The results of the multiple regressions for the factors influencing effective eWOM marketing identified three statistically significant relationships between feedback, social status, networking and effective eWOM marketing. MANOVAS confirmed eleven statistically significant relationships of which only three were of practical significance. Practical significant relationships exist between ethnic affiliation, current position, years working experience and social status. In addition to identifying the three specific factors influencing effective eWOM marketing, namely online feedback, the need to obtain social status and the desire to engage in online networking, this study has made several contributions, specifically to eWOM marketing. This study has recommended specific online marketing strategies to increase effective eWOM for online feedback, for individuals to obtain social status and to engage in online networking. The hypothesised model developed from the study, illustrating the three factors that influence effective eWOM marketing for South African consumers, can now be used by other researchers in other countries as a framework for further testing or for businesses/marketing organisations to obtain information on the attributes to pay attention to increase the effectiveness of their eWOM marketing. The role that demographics such as ethnic affiliation, position in the business and years working experience play in satisfying the need of individuals to obtain social status in an online setting via eWOM marketing, were also confirmed. Furthermore, this study has provided practical advice to businesses/marketing organisations on how to utilise this knowledge to their advantage when wishing to stimulate eWOM conversations about their products and services. The findings of the research will also assist businesses/marketing organisations to initiate eWOM engagement and communicate more effectively with consumers online to obtain information on how to improve on and change existing products/services or the need for new product/service offerings to retain customers, ensure continuous consumer satisfaction and increase business turnover.
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Zhang, Xiaoyu S. M. Massachusetts Institute of Technology. "Modeling spread of word of mouth on Twitter." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99571.

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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 59-63).
Twitter is a popular word-of-mouth microblogging and online social networking service. Our study investigates the diffusion pattern of the number of mentions, or the number of times a topic is mentioned on Twitter, in order to provide a better understanding of its social impacts, including how it may be used in marketing and public relations. After an extensive literature review on diffusion models and theories, we chose the Bass diffusion model, because it allows us to achieve a relatively good estimation for the diffusion pattern of a trending topic. Furthermore, we extend the Bass model in two ways: (1) incorporating the number of mentions from influential users on Twitter; (2) aggregating the hourly data observations into daily data observations. Both extensions significantly improve the model's ability to predict the total number of mentions and the time of highest mentions. In the future, we hope to extend the applications of our study by incorporating external data from the news and other sources, to provide more comprehensive information about what people are saying and thinking. We also hope to analyze the data in terms of demographics and user networks, to potentially predict everything from new product introduction to conversations about defective products.
by Xiaoyu Zhang.
S.M. in Transportation
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Books on the topic "Word of mouth"

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Finch, Geoffrey. Word of Mouth. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-32891-5.

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Word of mouth. South Pool, Devon: Oversteps Books, 2009.

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Word of mouth. Saskatoon, Saskatchewan: Thistledown Press, 1996.

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1946-, Rosen Michael, ed. Word of mouth. Oxford: Oxford University Press, 2002.

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1953-, Carr Ruth, and Word of Mouth Poetry Collective., eds. Word of mouth. Belfast: Blackstaff Press, 1996.

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Virginia, Havard, ed. By word of mouth. Lufkin, Tex: Lufkin High School, 1991.

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Word-of-mouth marketing. New York: J. Wiley, 1991.

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Lanyon, Andrew. By word of mouth. Cornwall: A. Lanyon, 1994.

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Noble, Diane. By word of mouth. New York, N.Y: Guideposts, 2012.

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Company, Channel Four Television, ed. By word of mouth. [London]: Channel 4, 1989.

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Book chapters on the topic "Word of mouth"

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McCarthy, Michael. "Word of mouth." In English Grammar, 123–44. Abingdon, Oxon ; New York, NY : Routledge, 2021.: Routledge, 2021. http://dx.doi.org/10.4324/9780367633677-6.

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Finch, Geoffrey. "Virtual Words." In Word of Mouth, 76–111. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-32891-5_3.

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Finch, Geoffrey. "The Talking Animal." In Word of Mouth, 1–37. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-32891-5_1.

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Finch, Geoffrey. "Getting the Better of Words." In Word of Mouth, 38–75. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-32891-5_2.

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Finch, Geoffrey. "We Are What We Speak." In Word of Mouth, 112–52. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-32891-5_4.

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Finch, Geoffrey. "The Finite Instrument." In Word of Mouth, 153–84. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-32891-5_5.

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Finch, Geoffrey. "The Parent of Language." In Word of Mouth, 185–221. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-32891-5_6.

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Finch, Geoffrey. "Conclusion." In Word of Mouth, 222–34. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-32891-5_7.

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Torres, Edwin N., and Tingting Zhang. "Electronic word of mouth." In Customer Service Marketing, 113–26. London: Routledge, 2022. http://dx.doi.org/10.4324/9780429263965-7.

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Radić, Dubravko, and Thorsten Posselt. "Word-of-Mouth Kommunikation." In Handbuch Kommunikation, 249–66. Wiesbaden: Gabler, 2009. http://dx.doi.org/10.1007/978-3-8349-8078-6_13.

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Conference papers on the topic "Word of mouth"

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Wang, Xiaorong, Lifang Peng, and Xin (Robert) Luo. "Electronic word-of-mouth." In the 18th Annual International Conference. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2971603.2971640.

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Cebrian, Manuel, and Enrique Frias-Martinez. "Word-of-mouth algorithms." In the ICMI-MLMI '09 Workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1641389.1641391.

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Will, Matthias O., Tam Huynh, Veit Vogel, and Martin Stub. "Word of mouth mobile marketing for real world recommendations." In 2010 14th International Conference on Intelligence in Next Generation Networks (ICIN): "Weaving Applications Into the Network Fabric". IEEE, 2010. http://dx.doi.org/10.1109/icin.2010.5640925.

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Swierczynska-Kaczor, Urszula. "Spreading Word-of-Mouth about the brand within virtual world." In 2009 International Multiconference on Computer Science and Information Technology (IMCSIT). IEEE, 2009. http://dx.doi.org/10.1109/imcsit.2009.5352704.

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Qian, Xiao-Dong, Min Zhao, and Rui-Dian Zhang. "Research on Online Word-of-Mouth Spread Mechanism based on the Node Properties and Word-of-Mouth Type." In 4th Annual International Conference on Management, Economics and Social Development (ICMESD 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icmesd-18.2018.137.

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Jansen, Bernard J., Mimi Zhang, Kate Sobel, and Abdur Chowdury. "Micro-blogging as online word of mouth branding." In the 27th international conference extended abstracts. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1520340.1520584.

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Samadara, Pieter D., Septia S. Dioh, and David S. Latupeirissa. "Tourist Satisfaction, Gratitude and Word of Mouth Intention:." In International Conference on Applied Science and Technology on Social Science (ICAST-SS 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210424.082.

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Wu, Tong, and Xuecheng Yang. "Electronic word of mouth in online social networks." In 2010 Second International Conference on Communication Systems, Networks and Applications (ICCSNA). IEEE, 2010. http://dx.doi.org/10.1109/iccsna.2010.5588871.

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Vasan, M. "Effectiveness of Word of Mouth Communication: Receiver Perspectives." In 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2020. http://dx.doi.org/10.1109/i-smac49090.2020.9243575.

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Jovanović Tončev, Melita, Marija Kostić, and Vladimir Džamić. "Od tradicionalnog ka elektronskom Word-of-mouth marketingu." In Synthesis 2015. Belgrade, Serbia: Singidunum University, 2015. http://dx.doi.org/10.15308/synthesis-2015-51-55.

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Reports on the topic "Word of mouth"

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Lee, Seung-Hee, Jane E. Workman, and Kyangho Jung. Brand Charisma: Word-Of-Mouth and Gender. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-49.

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Chevalier, Judith, and Dina Mayzlin. The Effect of Word of Mouth on Sales: Online Book Reviews. Cambridge, MA: National Bureau of Economic Research, December 2003. http://dx.doi.org/10.3386/w10148.

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Song, Sanga, and Hyunjoo Im. Consumers' Negative Electronic Word of Mouth: Non-complainers, Bad-mouthers, Dissatisfied complainers, and Satisfied complainers. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-390.

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Hong, Harrison, Jeffrey Kubik, and Jeremy Stein. The Neighbor's Portfolio: Word-of-Mouth Effects in the Holdings and Trade of Money Managers. Cambridge, MA: National Bureau of Economic Research, May 2003. http://dx.doi.org/10.3386/w9711.

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Sneed, Christoper, Theresa Hyunjin Kwon, and Ann Fairhurst. Do They Matter? The Impact of Atmospherics on Farmers' Market Consumers' Purchase Intention and Word-of-Mouth. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-389.

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Kim, Jiyoung, and Sejin Ha. The Effect of Retailer Perceived Isomorphism and Performative Action on Legitimacy, Word-Of-Mouth and Purchase Intention. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-505.

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Ha, Young, and Hyunjoo Im. What Motivates a Consumer to Generate Word of Mouth through Social Networking Sites?: Hedonic vs. Utilitarian Shopping Experience. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1498.

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Seifert, Christin, and Wi-Suk Kwon. Let Me Tell You a Story!: Effects of Electronic Word-of-Mouth on Brand Value Co-Creation and Brand Trust in Social Media. Ames: Iowa State University, Digital Repository, November 2015. http://dx.doi.org/10.31274/itaa_proceedings-180814-195.

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C., MIDDLEMISS. Reflections on the Foot-and-Mouth Disease Epidemic of 2001: a United Kingdom Perspective. O.I.E (World Organisation for Animal Health), April 2021. http://dx.doi.org/10.20506/bull.2021.nf.3166.

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Thanda Kyaw, Ai. Socio-Economic Impacts of Foot and Mouth Disease Among Cattle Farmers in Sagaing and Mandalay Areas, Myanmar. O.I.E (World Organisation for Animal Health), May 2014. http://dx.doi.org/10.20506/standz.2784.

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The World Organisation for Animal Health (OIE) Sub-Regional Representation for South East Asia (OIE SRR-SEA) implemented the Stop Transboundary Animal Diseases and Zoonoses (STANDZ) Programme funded by AusAID to strengthen the veterinary services and effectively manage the control and eradication of foot and mouth disease (FMD) in Cambodia, Lao PDR and Myanmar. The purpose of the study is to understand how FMD outbreaks impact smallholder farmers, both men and women, at the household and village level and how control and eradication of FMD would benefit them. Specific aims are to estimate the direct and indirect socio-economic costs associated with the outbreaks of FMD as well as of the measures taken by farmers to deal with such outbreaks and to identify issues that contributed to the socio-economic impacts of FMD outbreaks and opportunities to reduce them.
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