Journal Search Engine
Search Advanced Search Adode Reader(link)
Download PDF Export Citaion korean bibliography PMC previewer
ISSN : 2233-4165(Print)
ISSN : 2233-5382(Online)
Journal of Industrial Distribution & Business Vol.10 No.8 pp.33-44
DOI : http://dx.doi.org/10.13106/ijidb.2019.vol10.no8.33

The Impact of Block Chain Characteristics on the Intention to Use Hotel Reservation System in China

Peng-Ru JIN*,Jong-Ho LEE**
* First Author, Ph. D. student of E-Commerce, Dept. of Electronic Commerce, Kongju National University, Korea. Email: gimpeongyu@naver.com

© Copyright: Korean Distribution Science Association (KODISA)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
** Corresponding Author, Professor, Dept. of Electronic Commerce, Kongju National University, Korea. Tel: +82-41-850-8257, Email: leejh@kongju.ac.kr
June 18, 2019. July 07, 2019. August 05, 2019.

Abstract

Purpose – As the scope of existing digital transformation expanded to various degrees, the Fourth Industrial Revolution came into being. In 2016, Klaus Schwab, Chairman of the World Economic Forum (WEF), said that the new technologies that lead the fourth industrial revolution are AI, Block chain, IoT, Big Data, Augmented Reality, and Virtual Reality. This technology is expected to be a full-fledged fusion of digital, biological and physical boundaries. Everything in the world is connected to the online network, and the trend of 'block chain' technology is getting attention because it is a core technology for realizing a super connective society. If the block chain is commercialized at the World Knowledge Forum (WKF), it will be a platform that can be applied to the entire industry. The block chain is rapidly evolving around the financial sector, and the impact of block chains on logistics, medical services, and public services has increased beyond the financial sector.
Research design, data, and methodology – Figure analysis of data and social science analytical software of IBM SPSS AMOS 23.0 and IBM Statistics 23.0 were used for all the data researched. Data were collected from hotel employees in China from 25th March to 10th May.
Results – The purpose of this study is to investigate the effect of the block chain characteristics of the existing hotel reservation system on the intention to use and to examine the influence of the block chain characteristics of the hotel reservation system on the intention to use, We rearranged the variables having the same or similar meaning and analyzed the effect of these factors on the intention to use the block chain characteristic of the hotel reservation system. 339 questionnaires were used for analysis.
Conclusions – There are only sample hotel workers in this study, and their ages are in their 20s and 30s. In future studies, samples should be constructed in various layers and studied. In this study, the block chain characteristics are set as five variables as security, reliability, economical efficiency, availability, and diversity. Among them, Security and reliability made positive effects on the perceived usefulness. Also, security and economics did on the perceived ease. Availability and diversity did on both perceived usefulness and perceived ease. Perceived ease did on perceived usefulness. And perceived ease and perceived usefulness did on user intent. But security and economics did not on the perceived usefulness

JEL Classifications: M10, M16, M19.

중국에서의 호텔예약 시스템의 블록체인 특성이 사용의도에 미치는 영향

김붕유*,이종호**

초록


    Figure

    Table

    Reference

    1. Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (p.11-39). Berlin, Germany: Springer.
    2. Benlian, A., & Hess, T. (2011). Opportunities and risks of software-as-a-service: Findings from a survey of IT executives. Decision Support Systems, 52(1), 232-246.
    3. Bhattacerjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-370.
    4. Bhowmik, D., & Feng, T. (2017). The multimedia blockchain: A distributed and tamper-proof media transaction framework. In Digital Signal Processing (DSP). IEEE, 1-5.
    5. Choi, H. S., Kim, M. S., Kim, Y. H., & Lee, B. Y. (2006). Practical Hotel Management. Seoul, Korea: Hanol Publisher.
    6. Choi, S., & Kimes, S. (2002). Electronic distribution channels’ effect on hotel revenue management. Cornell Hotel and Restaurant Administration Quarterly, 43(3), 23-31.
    7. Chung, S. H. (2016). Legal Issues for Introduction of Distributed Ledger Based on Block Chain Technology - Focused on Financial Industry. Financial Law Research, 13(2), 107.
    8. Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Doctoral dissertation, Massachusetts Institute of Technology.
    9. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
    10. DeLone, W. H., & Mclean, E. R.. (2003). The DeLone and Mclean model of Information Systems Success: a ten-year update. Jounal of Management Information Systems, 19(4), pp.9-30.
    11. Dutot, V. (2015). Factors influencing near field communication (NFC) adoption: An extended TAM approach. Journal of High Technology Management Research , 26(1), 45-57.
    12. Eyal, I., Gencer, A. E., Sirer, E. G., & Van Renesse, R. (2016). Bitcoin-NG: A scalable blockchain protocol. NSDI , 45-59.
    13. Financial Services Commission (2016). A Study on Introduction of Block Chain Technology to the Financial Sector.
    14. Han, P., Park, J., Jeon, B., & Gang B. (2010), "A Study on the Factors of Mobile Applications Adoption." Journal of Information Technology Services, 9(3), 65-82.
    15. Hong, S. P., In, H., Kim, K. H., Kim, K. J., Park, S. M., Jeong, Y. J., Hee, J. K., Eun, J. L., Shim, S. C., & Hong, D. H. (2016). A Study on Introduction of Block Chain Technology to the Financial Sector. Seoul, Korea: Financial Services Commission.
    16. Iansiti, M., & Lakhani, K. R. (2017). The truth about blockchain. Harvard Business Review , 95(1), 118-127.
    17. Im, M. H. (2016). Application and Prospect of Block Chain Technology - Conceptualization, Utilization Prospect, Ecosystem Creation, Policy Direction.
    18. Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an understanding of the behavioral intention to use an information System. Decision Sciences, 28 (2), 357-389.
    19. Jae, Y. (2017). Blockchain Technology Trends and Implications. Trends and issues, (34), 1-21.
    20. Jung S. K., & Byun, J. W. (2009). A Study on the Change of Online Reservation System in Tourism Industry. Hotel Management Studies, 18(1), 205-224.
    21. Kim, D. S. (2015). Distributed Director Technology and Digital Currency. Seoul, Korea: Bank of Korea.
    22. Kim, J. (2016). Block Chain: Internet then revolution.
    23. Kim, J. H. (2016). Block chain is the future to change.
    24. Kim, J. S. (2016). A Study on the Factors Influencing the Intention of Acceptance of Block Chain Technology (Ph.D Thesis). Soongsil University, Seoul, Korea.
    25. Kim, J. S. (2017). A Study on the Factors Influencing the Intention of Acceptance of Block Chain Technology. Journal of IT Services, 16(2), 1-20.
    26. Kim, S. H. (2012). A Study on the Consumer Behavior of Chain Hotels and Independent Management Hotel Guests by Reservation Types (Doctoral Thesis). Keimyung University, Daegu, Korea.
    27. Kim, S. Y., & Ahn, S. B. (2018). A Study on Factors Influencing the Intention of Acceptance of Block Chain System. Journal of Korean Logistics Association, 28 (1), 71-85.
    28. Kim, S. J. (2017). Block Chain Ecosystem Analysis and Implications. Korea Institute of Science and Technology Evaluation and Planning.
    29. Kim, S. Y. (2018). A Study on the Intention of Block Chain Acceptance and Activation of Technology (Ph.D dissertation). University of Incheon, Incheon, Korea.
    30. Kim, T. G.(2016). Use of Hotel Front Office System in Involuntary Environments. Tourism Research, 30(1), 129-150.
    31. Kim, Y. H. (2016). A Study on Acceptance of IOT - based Smart Home Service: Focused on Conditional Value Measurement Method and Value - Based Acceptance Model (Ph.D Thesis). Soongsil University, Seoul, Korea.
    32. Kim, S. S., Jang, W. J., Phuong, H. T., & Gim, G. Y. (2018). A comparative study on the intention of using blockchain technology in Korea and Vietnam. Advanced Science and Technology Letters , 150, 214-216.
    33. Koh, Y. S., & Choi, H. S. (2017). Changing business paradigm and its application: Focused on block chain technology. Korea Science and Technology Forum, 27, 13-29.
    34. Korea Culture & Tourism Research Institute (2017). The Influence of Foreign Travel Agent (OTA) on the Korean Market and Its Response.
    35. Kwak, J. H. (2018). Korean Travel Coin (KTC) Proposal with Block Chain Structure and Intention of Consumer Acceptance (Doctoral Thesis) Keimyung University, Daegu, Korea.
    36. Lee, J. H. (2013). A Study on the Intention of Acceptance of Smart Learning in Firms. Entrue Journal of Information Technology, 12(3), 107-119.
    37. Lee, K. Y., & Kim, K. S. (2016). "The change of management paradigm that the block chain will bring to the whole industry beyond finance". Samjong KPMG ISSUE MONITOR, 60.
    38. Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information and Management , 40(3), 191-204.
    39. Ma J. S (2017). Rational Restrictions on Virtual Money in Block Chain - Focused on Bit Coin. Research on Commercial Law, 35(4),
    40. Moon, H. W., & Han, H. S. (2017). The Effects of the Discomfort Factors on the Hotel Loyalty in the Reservation Process with the Exp. Hotel Management Studies, 26 (1), 1-19.
    41. O’connor, P., & Frew, A. (2002). The future of hotel electronic distribution: Expert and industry perspectives. Cornell Hotel and Restaurant Administration Quarterly , 43(3), 33-45.
    42. Oh, S. Y., & Lee, C. H. (2017). Block Chain Application Technology for Improving Reliability of Real Estate Market. Korean Journal of Electronic Commerce, 22(1), 51-64.
    43. Park, J. H. (2018). The Effects of Private Block Chain Characteristics on the Intention of Medical Field Acceptance (Doctoral Thesis). Sungkyunkwan University, Seoul, Korea.
    44. Park, S. J. (2017). Block chain paradigm and pin tec security. Journal of the Korean Institute of Communication Sciences, 34(3), 23-28.
    45. Park, S. M. (2018). Block chains know to see. Seoul: Information and Culture History
    46. Park, I. W. (2012). Acceptance and proliferation of travel agency smartphone applications by extending the Technology Acceptance Model (TAM) (Doctoral thesis). Kyung Hee University, Seoul, Korea.
    47. Quan, D. C. (2002). "The price of a reservation." The Cornell Hotel and Restaurant Administration Quarterly , 43(3), 77-86.
    48. Reid, M., & Levy, Y. (2008). Integrating trust and computer self-efficacy with TAM: An empirical assessment of customers’ acceptance of banking information systems (BIS) in Jamaica. Journal of Internet Banking and Commerce , 12(3), 1-17.
    49. Rogers, E. M.(2003). Diffusion of Innovations (5ed). New York, NY: The Free Press.
    50. Samjong KPMG Researcher (2016). The change of the management paradigm that the block chain will bring to the whole industry beyond finance.
    51. Shiminging, T., & Lizzy, A. (2017). An easy-to-understand block chain. North Star
    52. Sigala, M., Lockwood, A., & Jones, P. (2001). Strategic implementation and IT: Gaining competitive advantage from the hotel reservations process. International Journal of Contemporary Hospitality Management , 13(7), 364-371.
    53. Swanson, D. (1987). Gratification seeking, media exposure, and audience interpretations: Some directions for research. Journal of Broadcasting & Electronic Media , 31(3), 237-254.
    54. Tarik, D., Makarand, M., & Christie, L. (2018). Blockchain technology & its implications for the hospitality industry. Boston Hospitality Review , 1-12.
    55. Wang, H. Y., & Wang, S. H. (2010). Predicting mobile hotel reservation adoption: Insight from a perceived value standpoint. International Journal of Hospitality Management, 29(4), 598-608.
    56. Yoo, S. M. (2017). 'Block Chain Based Internet Services' Industry Outlook. Journal of Information Technology, 15(1), 15-20.