디지털융복합연구 (Journal of Digital Convergence)

  • 제17권4호
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  • Pages.75-85
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  • 2019
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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소비자 만족도에 관한 경험적 연구: 신흥 시장의 휴대폰 이용자를 대상으로

An empirical study on customer satisfaction: Mobile phone users in an emerging market

  • 투고 : 2019.01.09
  • 심사 : 2019.04.20
  • 발행 : 2019.04.28
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초록

휴대폰을 구매하는 과정에서, 소비자들의 선택 기준은 다양한 요인으로 구성된다. 이동 통신의 중요성이 증대된다는 점을 고려하여, 이 연구는 구조 방정식 모델을 통해 소비자 만족 행동에 영향을 미치는 요소들을 조사하고자 했다. 이 연구는 소비자 만족을 결정하는 여섯 가지 주요 요인을 제안하며, 인구통계학적 요인들의 조절 효과를 검증했다. 386 명의 적극적인 이용자로부터 수집한 설문 데이터를 분석했다. 연구 결과는 브랜드 명칭, 사회적 영향력, 그리고 애프터 서비스가 소비자 만족의 세 가지 중요한 결정 요인임을 보여준다. 또한 연구 결과는 인구통계학적 속성이 고객 만족에 영향을 미친다는 점을 제안한다. 이 연구는 휴대폰 소비자의 만족을 신흥 시장의 관점에서 조망함으로써, 이론적 이해를 확대하고 실무적 함의를 제공한다.

For the growing importance of mobile communication, this study sets out to investigate the factors that influencing mobile phone customer satisfaction behavior through a structural equation model. This study proposes six factors model as the key determinants of customer satisfaction. Furthermore, we examine the moderating effect of demographic factors. The study was conducted using a structured questionnaire, data collected from 386 active subscribers. Results confirm that brand name, social influence and after sales service are the three significant determinants of consumer satisfaction. This study finding also suggests that demographic attributes have important consequences on customer satisfaction. The study findings offer an extended theoretical understanding towards customers' mobile satisfaction in the emerging market perspective and for practitioners, potentially to other similar context.

키워드

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Fig. 1. Conceptual model and hypotheses

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Fig. 2. Structural model

Table 1. Variable definitions

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Table 2. Descriptive statistics

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Table 3. Reliability and Validity measure

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Table 4. Regression estimates of construct items

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Table 5. Discriminant validity

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Table 6. Model fit indices: measurement model

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Table 7. Summery of hypotheses testing based on SEM model

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Table 8. Moderating effect of demographics

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참고문헌

  1. Bangladesh Telecommunication Regulatory Commission BTRC. (2018). Mobile Phone subscribers. Available at: http://www.btrc.gov.bd/content/mobile-phone-subscribe rs-bangladesh-August-2018. Accessed: 2018-12-25.
  2. World Data Atlas. (2017). Number of mobile cellular subscriptions. Available at: https://knoema.com/atlas/ Bangladesh/Number-of-mobile-cellular-subscriptions, Accessed: 2018-12-25.
  3. GSMA Intelligence. (2014). Country overview: Bangladesh. Available at: https://www.gsmaintelligence.com/research/?file=140820-bangladesh.pdf&download, Accessed: 2018-12-25.
  4. World Bank. (2009). Telecommunications and Economic Growth. World Bank, Washington DC. Available at: http://www.ffem.net/webdav/site/proparco/shared/POR TAILS/Secteur_prive_developpement/PDF/SPD4/SPD4_ Christine_Zhen_Wei_Qiang_uk.pdf. Accessed: 2018-01-01
  5. AT Capital Research. (2017). Bangladesh Telecoms Sector Challenges & Opportunities. Available at: http://www.amtob.org.bd/resource/Bangladesh-Telecom s-Tiger.pdf, Accessed: 2018-12-30.
  6. S. Barua & B. Barua. (2019). Internationalization of Bangladesh Banking Sector: Lessons from an emerging economy: In Business and Management practices in South Asia. Palgrave Macmillan: Singapore.
  7. C. Gronroos. (1997). Value-driven Relational Marketing: from Products to Resources and Competencies. Journal of Marketing Management, 13(5), 407-419. https://doi.org/10.1080/0267257X.1997.9964482
  8. R. L. Oliver. (1980). A cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.1177/002224378001700405
  9. A. Athanassopoulos, S. Gounaris & V. Stathakopoulos. (2001). Behavioral responses to customer satisfaction: an empirical study. Eur. Jn. of Marketing. 35, 687-707. https://doi.org/10.1108/03090560110388169
  10. H. Nysveen, P. E. Pedersen & H. Thorbjornsen. (2005). Explaining intention to use mobile chat services: Moderating effects of gender. Journal of Consumer Marketing, 22(5), 247-256. https://doi.org/10.1108/07363760510611671
  11. V. Venkatesh, S. A. Brown, L.M Maruping & H. Bala. (2008). Predicting different conceptualizations of system use: The competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS Quarterly, 32(3), 483-502. https://doi.org/10.2307/25148853
  12. J. Pakola, M. Pietila, R. Svento & H. Karjaluoto. (2003). An investigation of consumer behavior in mobile phone markets in Finland. In Submission to the 32ndEMACconference,Track:NewTechnologiesandE-Marketing.
  13. S. Chakraborty & K. Sengupta. (2014). Structural equation modeling of determinants of customer satisfaction of mobile network providers: Case of Kolkata, India. IIMB. Management Review, 26(4), 234-248. https://doi.org/10.1016/j.iimb.2014.10.001
  14. T. T. Nagel & R. K. Holden. (2002). The Strategy and Tactics of Pricing: A Guide to Profitable Decision Making. 3rd ed., New Jersey: Prentice-Hall, Inc.
  15. T. Yin & A. K. Paswan. (2007). Antecedents to consumer reference price orientation: an exploratory investigation. Journal of Product and Brand Management, 16(4), 169-279.
  16. S. S Srinivasan & B. D. Til. (2002). Evaluation of Search, Experience and Credence Attributes: Role Of Brand Name And Product Trial. Journal of Product & Management, 11(7), 417-431. https://doi.org/10.1108/10610420210451616
  17. A. Chaudhuri & M. B. Holbrook. (2001). The chain of effects from brand trust and brand affect to brand performance: the role of brand loyalty. Journal of Marketing. 65, 81-93. https://doi.org/10.1509/jmkg.65.2.81.18255
  18. G. Sullivan. (2010). Art Practice as Research: Inquiry in visual arts. 2nd ed., LosAngeles: SAGE Publications, Inc.
  19. C. Ling, W. Hwang & G. Salvendy. (2006). Diversified users' satisfaction with advanced mobile phone features. Universal Access in the Information Society, 5(2), 239-249. https://doi.org/10.1007/s10209-006-0028-x
  20. Z. Mack & S. Sharples. (2009). The importance of usability in product choice: A mobile phone case study. Ergonomics, 52(12), 1514-1528. https://doi.org/10.1080/00140130903197446
  21. C. M. Liu. (2002). The effects of promotional activities on brand decision in the cellular telephone industry. Journal of Product & Brand Management, 11(1), 42-51. https://doi.org/10.1108/10610420210419540
  22. S. H. Han, K. J. Kim, M. H. Yun, S. W. Hong & J. Kim. (2004). Identifying mobile phone design features critical to user satisfaction. Human Factors and Ergonomics in Manufacturing, 14(1), 15-29. https://doi.org/10.1002/hfm.10051
  23. C. Abbott. (2007). Defining assistive technologies-a discussion. Journal of Assistive Technologies, 1(1), 6-9. https://doi.org/10.1108/17549450200700002
  24. P. Heriyati & T. P. Siek. (2011). Effects of Word of Mouth Communication and Perceived Quality on Decision Making Moderated by Gender: Jakarta Blackberry Smartphone Consumer's Perspective. Contemporary Management Research, 7(4), 329-336.
  25. D. H. Shin & W. Y. Kim. (2008). Forecasting customer switching intention in mobile service: An exploratory study of predictive factors in mobile number portability. Technological Forecasting & Social Change, 75(6), 854-874. https://doi.org/10.1016/j.techfore.2007.05.001
  26. H. E. Yang, C. C Wu & K. C Wang. (2009). An empirical analysis of online game service satisfaction and loyalty. Expert Systems with Applications, 36(2), 1816-1825. https://doi.org/10.1016/j.eswa.2007.12.005
  27. P. A. Dabholkar & R. P. Bagozzi. (2002). An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30(3), 184-201. https://doi.org/10.1177/0092070302303001
  28. H. H. Chang & S. W. Chen. (2008). The impact of customer interface quality, satisfaction and switching costs on e-loyalty: Internet experience as a moderator. Computers in Human Behavior, 24(6), 2927-2944. https://doi.org/10.1016/j.chb.2008.04.014
  29. L. T. Hu & P. M. Bentler. (1999). "Cutoff Criteria for Fit Indexes In Covariance Structure analysis: Conventional Criteria Versus New Alternatives". Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
  30. M. S. Norazah. (2013). Students' demand for smartphones. Campus - Wide Information Systems, 30(4), 236-248. https://doi.org/10.1108/CWIS-03-2013-0013