Of trends and trend pyramids
Bibliographic Data
| ID | 19554440 |
|---|---|
| Authors | Albert Postma (0000-0003-4260-7807, Stenden University of Applied Sciences, corresponding author), Bernadett Papp (0000-0002-8908-4305, Stenden University of Applied Sciences) |
| Year | 2021 |
| Volume | 7 |
| Issue | 2 |
| Pages | 162-167 |
| Publication date | 2021-06-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Tourism Futures (JOURNAL) |
| Journal identifiers | ISSN: 2055-5911 • E-ISSN: 2055-592X |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/jtf-11-2019-0129 |
| OpenAlex | W3022465889 |
| Language | EN |
| Citations received | 5 |
| References cited | 6 |
Purpose This paper aims to contribute to the understanding of the concept of a trend and the discourse of trend analysis. Design/methodology/approach This paper concisely discusses the concept of trends, the value of trend analysis for strategic planning and hierarchical trend pyramids as a tool to scan and analyse trends. Findings The examples will be given of how specific mega, meso and micro trends are related within a hierarchic trend pyramid. Practical implications The tool of trend pyramids helps to structurally analyse and understand trends and developments. Such analysis and understanding are relevant for strategic foresight and scenario planning in leisure and tourism. Originality/value The literature on trend levels and pyramids is scarce and varies in interpretation. The aim of this paper is to integrate the various viewpoints into a useful instrument for the scanning and analysis of trends and developments
Data science · Futures studies · Geography · Management science · Originality · Regional science · Social science · Sociology · Tourism · Trend analysis · Viewpoints · Computer Science · Engineering · Mathematics · Organizational Management and Leadership · Artificial Intelligence
| Citations per year | 1 |
|---|---|
| Citation span | 2021 - 2024 (4) |
| Highly cited | No |