Utilizing Electronic Word-of-Mouth Data to Identify Service Quality Gaps in Healthcare Delivery and Propose Improvement Strategies

سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 18

فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_HEHP-14-2_026

تاریخ نمایه سازی: 22 آبان 1405

چکیده مقاله:

Aims: This study examined healthcare management and service quality by integrating electronic word-of-mouth with the SERVQUAL framework to identify service quality gaps in Noida’s healthcare sectorInformation & Methods: This systematic review using a mixed-methods approach, assessed ۲۸ studies published in PubMed, Scopus, Web of Science, and Google Scholar on the impact of negative electronic word-of-mouth on patients’ perceptions of healthcare service quality and their decision-making in Noida, India. Using the SERVQUAL paradigm, the study identified and quantified service quality gaps across five dimensions: tangibles, reliability, responsiveness, assurance, and empathy.Findings: Healthcare service quality was multidimensional, with patient experiences influenced by factors, including reliability, responsiveness, assurance, empathy, tangibility, communication, professional competence, cleanliness, waiting time, and patient-centered care. Electronic word-of-mouth and online patient-generated information played a role in communicating healthcare experiences and shaping perceptions of healthcare providers. The empirical survey further demonstrated the importance of electronic word-of-mouth in healthcare decision-making: ۸۴.۷% of respondents searched online reviews before selecting a healthcare provider, while ۸۵.۲% reported avoiding a provider because of negative online reviews. Systematic monitoring of electronic word-of-mouth, staff communication and behavioral training, improved waiting-time management, and greater transparency regarding treatment costs may support healthcare service improvement.Conclusion: Considerable gaps between patients’ expectations and experiences—particularly in responsiveness and empathy at public health facilities—underscore the need for staff training, queue-management tools, and proactive online reputation management, while recognizing that patients may prioritize doctors’ expertise over eWOM when making healthcare decisions.

کلیدواژه ها:

Health ، Feedback ، Patients ، Delivery of Health Care

نویسندگان

A. Pandey

“Research Scholar” and “Department of Management, Mittal School of Business”, Lovely Professional University, Punjab, India

A. Sharma

Department of Management, Mittal School of Business, Lovely Professional University, Punjab, India

P.S. Yadav

Department of Management, School of Business and Management, Christ University, Yeshwanthpur, Bengaluru, India

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Parasuraman A, Zeithaml VA, Berry L. A conceptual model of ...
  • Park C, Lee TM. Information direction, website reputation and eWOM ...
  • Zeithaml VA. How consumer evaluation processes differ between goods and ...
  • Liu Z, Park S. What makes a useful online review? ...
  • Parasuraman A, Zeithaml VA, Malhotra A. ES-QUAL: A multiple-item scale ...
  • Nadarajan G, Bojei J, Khalid H. The study on negative ...
  • Van Doorn J, Lemon KN, Mittal V, Nass S, Pick ...
  • Wangenheim FV, Bayón T. The chain from customer satisfaction via ...
  • Matos CA, Vargas Rossi CA. Word-of-mouth communications in marketing: A ...
  • Zeelenberg M, Pieters R. Beyond valence in customer dissatisfaction: A ...
  • Torkzad A, Beheshtinia MA. Evaluating and prioritizing hospital service quality. ...
  • Rao M, Clarke A. Patients' own assessments of quality of ...
  • La Fata CM, Lupo T, Piazza T. Service quality benchmarking ...
  • Chang BL, Kao HO, Lin SJ, Yang SH, Kuo YW, ...
  • Scardina SA. SERVQUAL: A tool for evaluating patient satisfaction with ...
  • Lee M, Youn S. Electronic word of mouth (eWOM): How ...
  • Izogo EE, Jayawardhena C, Karjaluoto H. Negative eWOM and perceived ...
  • Padilla-Fortunatti C, Rojas-Silva N, Arechabala-Mantuliz MC. Analysis of the difference ...
  • Aeyels D, Seys D, Sinnaeve PR, Claeys MJ, Gevaert S, ...
  • Mohebifar R, Hasani H, Barikani A, Rafiei S. Evaluating service ...
  • Wu HH, Hsieh SM. A case study of applying importance-performance ...
  • Hennig-Thurau T, Gwinner KP, Walsh G, Gremler DD. Electronic word-of-mouth ...
  • Xia L, Bechwati NN. Word of mouse: The role of ...
  • Sloane G, Tidwell P, Horsfield M. Identification of the decision ...
  • Robinowitz DL, Dudley RA. Public reporting of provider performance: Can ...
  • Ferguson RJ, Paulin M, Bergeron J. Customer sociability and the ...
  • Leister J, Stausberg J. Why do patients select a hospital? ...
  • Trigg L. Patients' opinions of health care providers for supporting ...
  • Walsh G, Mitchell VW. The effect of consumer confusion proneness ...
  • Gruen TW, Osmonbekov T, Czaplewski AJ. eWOM: The impact of ...
  • Dobele A, Lindgreen A. Exploring the nature of value in ...
  • Harrison-Walker LJ. The measurement of word-of-mouth communication and an investigation ...
  • Singh J. Voice, exit, and negative word-of-mouth behaviors: An investigation ...
  • Filieri R, Galati F, Raguseo E. The impact of service ...
  • Purcarea VL, Gheorghe IR, Petrescu CM. Credibility elements of eWOM ...
  • Pauli G, Martin S, Greiling D. The current state of ...
  • Lim P, Tang N. A study of patients' expectations and ...
  • Astuti H, Nagase K. A framework for conceptualizing patient loyalty ...
  • Bond S, Thomas L. Measuring patients' satisfaction with nursing care. ...
  • Kitsios F, Kamariotou M, Karanikolas P, Grigoroudis E. Digital marketing ...
  • Jones R, Rogers R, Roberts J, Callaghan L, Lindsey L, ...
  • Szajna B. Empirical evaluation of the revised technology acceptance model. ...
  • Calnan M. The functions of the hospital emergency department: A ...
  • نمایش کامل مراجع