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103 results on '"webcare"'

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1. Is webcare good for business? A study of the effect of managerial response strategies to online reviews on hotel bookings.

2. The Effect of eWOM and Webcare on Customer Engagement and Brand Loyalty toward Live Streaming Platforms.

3. Webcare quality: conceptualisation, scale development and validation.

6. Webcare salience and consumer engagement: The moderating effects of webcare valence, conversational human voice and response time.

7. Understanding the role of webcare in the online buying service recovery context.

8. Webcare across public and private social networking sites: How stakeholders and the Netherlands Red Cross adapt their messages to channel affordances and constraints

9. Underlying Mechanisms of Brand Feedback's Mixed Effects in E-Commerce: Roles of Perceived Controllability, Stability, and Brand Trust.

11. DİJİTAL PAZARLAMA YAKLAŞIMI AÇISINDAN WEBCARE KALİTESİNİN OLUMLU AĞIZDAN AĞIZA PAZARLAMA NİYETİ ÜZERİNDEKİ ROLÜ VE BİR ARAŞTIRMA.

12. Resolving complaints online: development and validation of customers' perceived webcare scale.

13. Emotional labor in webcare and beyond: A linguistic framework and case study.

14. Mapping the spread of Dutch non-standard language use on corporate Facebook pages: A corpus-based analysis of service-oriented interaction.

19. Webcare in healthcare: providers' responses to patients' online reviews.

20. Webcare via openbare en privé sociale media: Een corpusonderzoek naar het effect van Conversational Human Voice in de OV sector.

21. Can online service recovery interventions benignly alter customers' negative review evaluations? Evidence from the hotel industry.

22. Managerial response strategies to eWOM: A framework and research agenda for webcare.

23. Managerial response strategies to eWOM: A framework and research agenda for webcare

24. A CROSS-COUNTRY ANALYSIS OF CONSUMER ONLINE BADMOUTHING.

25. Apologies in webcare conversations

26. Gulping the Poison: How Webcare Attributes Reduce Damages to Brands Caused by Negative Reviews.

27. Firestorm Response: Managing Brand Reputation during an nWOM Firestorm by Responding to Online Complaints Individually or as a Cluster.

28. @Organisatie in klachtentweets als trigger voor webcare-interactie.

29. “Wat vervelend dat de fiets niet is opgeruimd! Heb je een zaaknummer voor mij? ^EK”: Conversational human voice in webcare van Nederlandse gemeenten.

30. De toegevoegde waarde van de taalbeheersing voor de verduidelijking van de <italic>conversational human voice</italic>: Een talige analyse van het begrip CHV.

31. Di̇ji̇tal pazarlama yaklaşımı açısından webcare kali̇tesi̇ni̇n olumlu ağızdan ağıza pazarlama ni̇yeti̇ üzeri̇ndeki̇ rolü ve bi̇r araştırma

32. Emojigebruik door bedrijven in webcarereacties: menselijk of onprofessioneel

33. Emoji use in companies' webcare responses: personal or unprofessional?

34. How effective is expressive? Consumer perceptions of new vernacular features in Facebook webcare responses

35. Humor in webcare: waarom niet elk merk een Wendy’s hoeft te zijn

36. 9 dimensies om ‘goede’ webcare te beoordelen

37. “Understanding a fury in your words”: The effects of posting and viewing electronic negative word-of-mouth on purchase behaviors.

38. Humanlike chatbots

39. Menselijke chatbots: een zegen voor online klantcontact?

40. Sorry but no sorry

41. Ten years on, what do we say?:Examining responses to online criticism of a crisis-ridden bank

42. Emojigebruik door bedrijven in webcarereacties: menselijk of onprofessioneel

43. How effective is expressive? Consumer perceptions of new vernacular features in Facebook webcare responses.

44. Webcare als online reputatiemanagement Het gebruik van webcarestrategieën en conversational human voice in Nederland, en de effecten hiervan op de corporate reputatie.

45. Hoe toonaangevend is de webcare van de vier grootste steden van Nederland?

46. Hoe toonaangevend is de webcare van de vier grootste steden van Nederland?

47. 'Wat vervelend dat de fiets niet is opgeruimd! Heb je een zaaknummer voor mij? ^EK'

48. 'Annoying that the bike hasn’t been removed! Can you give me a case number? ^EK'

50. Seeing the wood for the trees : How machine learning can help firms in identifying relevant electronic word-of-mouth in social media

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