How can we improve tourism service experiences: insights from multi-stakeholders' interaction. (Record no. 54801)
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fixed length control field | 02509nam a22002297a 4500 |
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control field | OSt |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20230926145521.0 |
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100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | KAR, A. K.; |
9 (RLIN) | 38653 |
245 ## - TITLE STATEMENT | |
Title | How can we improve tourism service experiences: insights from multi-stakeholders' interaction. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 73-69 p. |
520 ## - SUMMARY, ETC. | |
Summary, etc | We examine factors influencing tourism service experience based on social media discussions using a lens of adoption, service quality, and attribution theories. We identified the most prominent themes and formulated seven propositions using social media data followed by sentiment analysis, topic modeling, clustering, and netnography-based analysis. In addition, we validated our proposition using the interview data from service providers. Our findings demonstrate that tourist opinions are related to affordability (i.e., dynamic price), local environment (for example, infrastructure, accommodation), interpersonal inclination (for example, climate, attractions), security and confidentiality-integrity-accessibility at the destination. In addition, we provide critical insights which may help formulate policies for improving tourism sector services. The major imperative implication of this study is twofold: (1) we found seven major constructs related to tourism experience in India; (2) we inductively developed an integrated framework for tourism service experience by exploring the various latent variables and further incorporating these with service quality model, external attribution theory, and extended adoption literature to improve service delivery and experience. This paper presents the role of digitalization in improving the tourism service experience using real-time data from twitter to extract the information instantly without any time lag which help in mining collective intelligence from honest signals of service consumers. We have established the relationship between the various outcomes of tourist posts and digital services using twitter posts to model real-time concerns surrounding digital tourism. [ABSTRACT FROM AUTHOR] |
653 ## - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Digital tourism |
Uncontrolled term | Netnography |
Uncontrolled term | Social media |
Uncontrolled term | Text mining |
Uncontrolled term | Tourism service experience |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | CHOUDHARY, S. K.; |
9 (RLIN) | 38654 |
Personal name | ILAVARASAN, P. V |
9 (RLIN) | 38655 |
773 0# - HOST ITEM ENTRY | |
Host Biblionumber | 29297 |
Host Itemnumber | 82782 |
Main entry heading | CHAKRABARTI, BHASKAR |
Place, publisher, and date of publication | INDIAN INSTITUTE OF MANAGEMENT CALCUTTA CALCUTTA |
Other item identifier | 55513645 |
Title | DECISION |
International Standard Serial Number | 0304-0941 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Journal Article |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Public note |
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Dewey Decimal Classification | Main Library | Main Library | 26/09/2023 | Vol 50, No 1/55513645JA5 | 55513645JA5 | 26/09/2023 | 26/09/2023 | Vol 50, No 1 |