Good Theories Predict
Unveiling the Untapped Potential of “Necessity” Theorizing
Bibliographic Data
| ID | 7159591 |
|---|---|
| Authors | Wangoo Lee (0000-0002-9903-6999, Temple University, corresponding author), Lu Lu (0000-0001-9852-3560, Temple University) |
| Year | 2025 |
| Volume | 49 |
| Issue | 2 |
| Pages | 219-234 |
| Publication date | 2025-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Hospitality & Tourism Research (JOURNAL) |
| Journal identifiers | ISSN: 1096-3480 • E-ISSN: 1557-7554 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/10963480231188666 |
| OpenAlex | W4385348216 |
| Language | EN |
| Citations received | 1 |
| References cited | 66 |
In this paper, we seek to introduce the concept of necessity logic of causality, which, despite its inherent merits in parsimony and predictive accuracy, has not received adequate attention. Our paper begins by providing a comprehensive review of various causal logic, including sufficiency, necessity, and contributory. We then critically examine the key assumptions of necessary causation (i.e., non-additivity, determinism, and asymmetry), and highlight the benefits of necessary causalities in theoretical innovation. Also, we workshop methodological protocols for necessity theory testing. Subsequently, we explore the potential of integrating necessity theories in the hospitality and tourism field by drawing on conceptual-contextual theorizing, leading to the development of “homegrown” theories. We also contend that necessary causality in transdisciplinary research can facilitate broader knowledge exchange to neighboring domains. We conclude by identifying promising research areas for necessity theorizing and testing in hospitality and tourism research
Causation · Determinism · Economics · Epistemology · Fuzzy logic · Hospitality · Management science · Political science · Positive economics · Sociology · Tourism · Vagueness · Computer Science · Diverse Aspects of Tourism Research · Law · Sport and Mega-Event Impacts · Wine Industry and Tourism · Artificial Intelligence
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |