IDEAS home Printed from https://ideas.repec.org/a/jfr/wjel11/v14y2024i4p114.html
   My bibliography  Save this article

Maxim of Politeness to Improve Language Principles: Case Study on Mata Najwa Trans 7 Talk Show Program

Author

Listed:
  • M Wildan
  • Eva Ardiana Indrariani
  • Wahyu Damayanti
  • Darsita Suparno
  • Ilhamudin Ilhamudin

Abstract

This study investigated how politeness helped speakers and other participants used language as capital during interactions to reduce the likelihood of verbal abuse. This paper used qualitative descriptive research methods. The sample in this study was the Mata Najwa Trans 7 Talk Show Program. The instrument in this paper was observations on the Mata Najwa Trans 7 Talk Show Program. After the data were obtained, they were analyzed using narrative analysis. The results of this research showed that in the Mata Najwa Trans 7 Talk Show Program, six language principles were described- the maxim of wisdom, the maxim of generosity, the maxim of appreciation, the maxim of moderation, the maxim of consensus, and the maxim of sympathy. This study concluded that these six principles guide every speaker and interlocutor in improving the principle of language politeness. Therefore, this research helped to achieve state and national concord, which benefits the development of global peace.

Suggested Citation

  • M Wildan & Eva Ardiana Indrariani & Wahyu Damayanti & Darsita Suparno & Ilhamudin Ilhamudin, 2024. "Maxim of Politeness to Improve Language Principles: Case Study on Mata Najwa Trans 7 Talk Show Program," World Journal of English Language, Sciedu Press, vol. 14(4), pages 114-114, July.
  • Handle: RePEc:jfr:wjel11:v:14:y:2024:i:4:p:114
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/wjel/article/download/25165/15880
    Download Restriction: no

    File URL: https://www.sciedupress.com/journal/index.php/wjel/article/view/25165
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Adam & Michael Wessel & Alexander Benlian, 2021. "AI-based chatbots in customer service and their effects on user compliance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 427-445, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Park, Gain & Park, YounJung & Lee, Seyoung, 2024. "Compliance-gaining in metaverse: A moderated parallel mediation model testing the interaction between legitimization of paltry favors technique and victim identification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    2. Arpan Kumar Kar & P. S. Varsha & Shivakami Rajan, 2023. "Unravelling the Impact of Generative Artificial Intelligence (GAI) in Industrial Applications: A Review of Scientific and Grey Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 659-689, December.
    3. Baabdullah, Abdullah M. & Alalwan, Ali Abdallah & Algharabat, Raed S. & Metri, Bhimaraya & Rana, Nripendra P., 2022. "Virtual agents and flow experience: An empirical examination of AI-powered chatbots," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    4. Andreas Engelmann & Gerhard Schwabe, 2024. "Certified data chats for future used car markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-22, December.
    5. Justina Sidlauskiene & Yannick Joye & Vilte Auruskeviciene, 2023. "AI-based chatbots in conversational commerce and their effects on product and price perceptions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
    6. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    7. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
    8. Poushneh, Atieh & Vasquez-Parraga, Arturo & Gearhart, Richard S., 2024. "The effect of empathetic response and consumers’ narcissism in voice-based artificial intelligence," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    9. Mengjun Li & Ayoung Suh, 2022. "Anthropomorphism in AI-enabled technology: A literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2245-2275, December.
    10. Mari, Alex & Mandelli, Andreina & Algesheimer, René, 2024. "Empathic voice assistants: Enhancing consumer responses in voice commerce," Journal of Business Research, Elsevier, vol. 175(C).
    11. Chaturvedi, Rijul & Verma, Sanjeev & Das, Ronnie & Dwivedi, Yogesh K., 2023. "Social companionship with artificial intelligence: Recent trends and future avenues," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    12. Severin Weiler & Christian Matt & Thomas Hess, 2022. "Immunizing with information – Inoculation messages against conversational agents’ response failures," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 239-258, March.
    13. Christine Rzepka & Benedikt Berger & Thomas Hess, 2022. "Voice Assistant vs. Chatbot – Examining the Fit Between Conversational Agents’ Interaction Modalities and Information Search Tasks," Information Systems Frontiers, Springer, vol. 24(3), pages 839-856, June.
    14. Farrukh Rafiq & Nikhil Dogra & Mohd Adil & Jei-Zheng Wu, 2022. "Examining Consumer’s Intention to Adopt AI-Chatbots in Tourism Using Partial Least Squares Structural Equation Modeling Method," Mathematics, MDPI, vol. 10(13), pages 1-15, June.
    15. Talaei-Khoei, Amir & Yang, Alan T. & Masialeti, Masialeti, 2024. "How does incorporating ChatGPT within a firm reinforce agility-mediated performance? The moderating role of innovation infusion and firms’ ethical identity," Technovation, Elsevier, vol. 132(C).
    16. Goutier, Marc & Diebel, Christopher & Adam, Martin & Benlian, Alexander, 2024. "Proactive and Reactive Help from Intelligent Agents in Identity-Relevant Tasks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 142985, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    17. Huang, Yu-Shan (Sandy) & Dootson, Paula, 2022. "Chatbots and service failure: When does it lead to customer aggression," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    18. Ruan, Yanya & Mezei, József, 2022. "When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute type," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    19. Samira FRIOUI & Amel GRAA, 2024. "Bibliometric Analysis of Artificial Intelligence in the Scope of E-Commerce: Trends and Progress over the Last Decade," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 5-24, February.
    20. Milad Mirbabaie & Felix Brünker & Nicholas R. J. Möllmann Frick & Stefan Stieglitz, 2022. "The rise of artificial intelligence – understanding the AI identity threat at the workplace," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 73-99, March.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jfr:wjel11:v:14:y:2024:i:4:p:114. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sciedu Press (email available below). General contact details of provider: http://wjel.sciedupress.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.