Integrating big data and marketing concepts into tourism, hospitality operations and strategy development.

Chih-Hsing Liu, Jeou-Shyan Horng, Sheng-Fang Chou, Tai-Yi Yu, Yung-Chuan Huang, Jun-You Lin

Abstract read

In one paragraph

Article in Quality & quantity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chih-Hsing LiuDepartment of Management and Information, National Open University, 172, Chung-Cheng Road, Lu-Chow District, 247 New Taipei City, ROC, Taiwan.

Jeou-Shyan HorngDepartment of Management and Information, National Open University, 172, Chung-Cheng Road, Lu-Chow District, 247 New Taipei City, ROC, Taiwan.

Sheng-Fang ChouDepartment of Management and Information, National Open University, 172, Chung-Cheng Road, Lu-Chow District, 247 New Taipei City, ROC, Taiwan.

Tai-Yi YuDepartment of Management and Information, National Open University, 172, Chung-Cheng Road, Lu-Chow District, 247 New Taipei City, ROC, Taiwan.

Yung-Chuan HuangDepartment of Management and Information, National Open University, 172, Chung-Cheng Road, Lu-Chow District, 247 New Taipei City, ROC, Taiwan.

Jun-You LinDepartment of Management and Information, National Open University, 172, Chung-Cheng Road, Lu-Chow District, 247 New Taipei City, ROC, Taiwan.ORCID 0000-0002-8579-4457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Big data (BD) research articles are on new issues, this study sought to fill the knowledge gap of linkage the relationships between big data and marketing strategy with comprehensive viewpoints across different research fields in tourism and hospitality literatures. Content analysis was conducted to gather materials from the particular studies. For each study, the content analysis included the title, abstract, journal, type of sample, exploration design, statistical and analytical techniques, data collection process and keywords was also conducted to confirm the main results of the criteria. The research shows that big data adds value to marketing strategies by using social media to collect information from consumers, which is complemented with appropriate evidence relevant to predicting their needs and behaviors.

Indexed as

Big dataMarketing strategyOnline reviewTechnology analytic

Identifiers

PMID35729961

DOI10.1007/s11135-022-01426-5

PMCPMC9191529

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.