Evidence map›Paper›PMID 39717572›Full record

ArticleHeliyon2024

Research on the pathways to high-quality development of tourism SMEs: A perspective of value assigned by quality, standards and brand.

Jianzhong Shi, Yang Xiao

Erratum issuedAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

2 authors.

Jianzhong ShiSchool of Management, Ocean University of China, Qingdao, People's Republic of China.
Yang XiaoSchool of Management, Ocean University of China, Qingdao, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advancement of the United Nations Sustainable Development Goals, the trend toward sustainable and high-quality development has become prominent for tourism enterprises. Tourism small and medium-sized enterprises (SMEs), which are numerous, constitute a significant part of the global tourism market. However, existing research predominantly focuses on the pathways for high-quality development of large tourism enterprises, with many gaps in understanding the corresponding processes for tourism SMEs. Due to their limited resources and capabilities, tourism SMEs have to selectively explore distinctive development pathways based on their core strengths to pursue high-quality development. To investigate these development pathways, this study draws on the perspective of value assigned by quality, standards, and brand, taking 181 tourism SMEs as the research object, and uses the fsQCA method to analyze the pathways towards high-quality development of tourism SMEs. The results show that there are three pathways to high-quality development of tourism SMEs can be distilled, including "root-deepening", "pioneering and innovative", and "brand-prioritized". Instead, "deficiency in innovation capacity" and "indiscriminate marketing of brands" will hamper the high-quality development pathways of tourism SMEs. Further examination discloses a substitutive relationship among the causal factors of the various pathways. This study delves into how tourism SMEs, under the objective constraints of resources and capabilities, integrate business elements and adjust strategic priorities to achieve high-quality development. It provides theoretical guidance for tourism SMEs worldwide to pursue high-quality and sustainable development in ways that are appropriate to different contexts.

Indexed as

fsQCAHigh-quality developmentQualityStandard and brandTourism SMEsValue assigning

Identifiers

PMID39717572
PMCPMC11665349

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.