Drawing on science mapping and performance indicators, this bibliometric review of sustainability research in hospitality and tourism (2005–2025) shows a clear maturation path: an early gestation phase (2005–2013), a take-off period (2014–2019), and rapid consolidation after 2019, capped by a 2024–2025 step-change that marks mainstreaming. Citation dynamics follow expected cohort effects: average annual citations peak for work published around 2015 and again near 2020, then soften for recent cohorts because their citation windows are shorter and the denominator expanded sharply after 2019. Author productivity is highly skewed, consistent with Lotka’s law, with a small, persistent core accounting for a disproportionate share of output and network centrality. Co-word and thematic maps reveal motor themes in waste management and environmental performance; a large, partly heterogeneous foundational cluster around “sustainability–hospitality/hotel industry”; and niche pockets such as spatiotemporal analyses, education, and the food industry. Emerging capability lenses include digital transformation, the resource-based view, and green HRM. Methodologically, behavioural models predominate—especially the Theory of Planned Behaviour operationalized through structural equation modelling—while organizational and operational extensions are gaining ground. Substantively, the literature increasingly links sustainability practices to market outcomes (customer satisfaction, loyalty, willingness to pay) and highlights the mediating role of capability constructs (digital, circular, and HRM capabilities), helping the field converge on a more comparable measurement language. Limitations of this study include the absence of Keywords Plus and category/author-role fields; accordingly, Author Keywords are prioritized and age-normalized indicators are used to temper recency bias.
From an overwhelmingly normative to an explicit design and governance principle in hospitality and tourism (impacting investment decisions, service operations, human resources practice, guest experience architectures, destination management policies) and disclosure along SDG/ESG lines(Guiding Principles for Sustainable Investment in Tourism 2025).
The scholarly conversation has spread and diversified in outlets, methods and geographies measuring the last two decades; but it is still defined by highly fragmented development dynamics, intellectual genealogy and conceptual cleveites which are hard to compare. (Wu et al., 2024)
In order to systematize this landscape, we carry out a bibliometric synthesis (2005–2025) combining some of the most popular performance indicators (e.g., scientific production by year, author productivity and inequality as well as citation flows) with science-mapping methods—co-word analysis, thematic mapping (centrality × density), hierarchical keyword clustering, and conceptual structure by multiple correspondence analysis. The processing has been made transparent following data retrieval and including/excluding criteria with heavy cleaning (author/affiliation harmonization, keyword aggregation) and a parameterized networks normalization for each structure under study adapted to formats between methods(Radhakrishnan specifically, et al., 2017).
Our objectives are threefold. First, we conceptualize the maturation of the field by detecting inflection points, cohorts and an unequal distribution of contributions across authors and outlets. Second, we reconstruct intellectual and conceptual structure, differentiating motive themes that energize the agenda from core (niches), peripheral, and rising/ebbing (consolidating/decentring) ones needing reinforcement, redirection. (Sierra-Casanova et al., 2024)
Third, we transform mapping outputs into actionable pathways for theory development and empirical work—connecting sustainable operations to market outcomes (e.g., satisfaction, loyalty, willingness to pay), moving capabilities (digital transformation, circular practices, green HRM) from descriptions to mechanisms of change in organisations and urging the use of multi-level/multi-method designs that increase the rigor with which these paths can be identified causally and compared across contexts. In the process, however, the review not only summarises what has been achieved in the literature, but also sets a direction for where it needs to go next: providing an accumulative evidence-based structure for further research. (Lorenz-Spreen et al., 2022)
Such a comprehensive approach supports the development of a strong understanding of complex research landscape in hospitality sustainability, and shows where established areas are or nascent possibilities for scholarship lies (Rita et al., 2024) (Bruyn et al., 2023). This could consider the digital transformation and influencer marketing in adopting sustainable practices and customer experiences in the hospitality industry (Berné‐Manero & Navarro, 2020; Szakal et al., 2024).
In particular, this consists of examining the influence of various categories of social media nature meisters on consumers in terms of their engagement towards sustainable programs (Rahman, 2022). Future studies may investigate the ethical implications of influencer-brand collaboration for sustainability by examining transparency and authenticity in promotional disclosures (Bansal et al., 2024). Research of this kind is key to the development of sound theorization in theory as it relates to changing nature of digital environment and consequently, it influence on consumer decision-making processes in sustainable hospitality (Szakal et al., 2024) (Rita et al.., 2024).
Records were retrieved from curated databases and analyzed in Bibliometrix/Biblioshiny. We report annual scientific production, average citations per year, authors’ production over time, Lotka’s productivity fit, most frequent keywords, a thematic map (density × centrality), hierarchical co-word clusters, and a Multiple Correspondence Analysis (MCA) conceptual map. Consistent with the dataset audit, analyses emphasize Author Keywords (DE) because Keywords Plus and some category/author-role fields are missing; we therefore avoid field-normalized category comparisons and interpret peripheral themes cautiously.
Annual scientific production exhibits a three-stage maturation: (i) a low-volume gestation (2005–2013), (ii) a measured take-off (2014–2019), and (iii) a steep post-2019 acceleration with a marked step-change in 2024–2025. This S-curve pattern indicates transition from exploratory work to consolidation and mainstreaming, providing adequate critical mass for reliable science-mapping. Average citations per year peak around 2015 and 2020 but decline for the most recent cohorts; this is mechanically explained by shorter citation windows and denominator expansion during the post-2019 surge rather than waning influence
“Authors’ production over time” shows activity thickening in 2021–2025 with sustained contributions by a small nucleus of scholars, while Lotka’s distribution confirms a highly unequal productivity pattern (≈88% single-paper authors; very thin tail beyond three papers). This concentration suggests a collaborative–competitive core around shared constructs and methods (notably TPB-based behavioral models estimated via SEM), alongside specialized teams extending into operational and organizational domains (e.g., waste, HRM, leadership, innovation).
Frequency counts and the word cloud place sustainability as the undisputed nucleus linked to hospitality industry / hotel industry / tourism. Policy/agenda terms (sustainable development) coexist with managerial and destination lenses (CSR, innovation, tourism development, ecotourism). This indicates a domain–theme coupling: sustainability is mainly theorized and operationalized within service operations, guest behavior, and destination governance rather than as a cross-industry abstraction.
The thematic map identifies motor themes in waste management and environment/human—well-developed, field-connecting streams focused on operational practices and human outcomes. A large basic cluster (sustainability–hospitality/hotel industry) remains central but heterogeneous; additional basic but looser clusters combine tourism development/ ecotourism/innovation and green economy/resource management/human resource. Niche topics (e.g., spatiotemporal analysis; country-specific applications; education; food industry) are cohesive yet peripheral. Emerging/declining themes cover hotel/hospitality management, job satisfaction and capability lenses (digital transformation, knowledge sharing, competitive advantage, RBV) that have not yet diffused widely.
The dendrogram yields coherent sub-domains: (a) operations–environment (waste/food waste–environmental management–environmental impact), (b) organizational–service performance (hospitality/hotel sector with service quality, leadership, innovation), (c) destination governance (tourism development, management, economics, ecotourism), (d) managerial decision & behavior (management practice, decision making, perception, stakeholder, consumption behavior), and (e) policy–capability (SDGs, circular economy, AI, green hotels). The MCA confirms these patterns. Dim-1 (~36% inertia) ranges from organizational/resource lenses (human resource, resource management, green economy, public attitude) to behavioral-market outcomes (tourist behavior, tourist destination, consumption behavior). Dim-2 (~16% inertia) separates operational-environmental topics (environmental management/impact, waste management, climate change) from methods/strategy and destination governance (questionnaire survey, management practice, tourism management/ economics). The central cloud—sustainability, hospitality industry, hotel industry, service quality, innovation—acts as an integrative hub; capability terms (AI, circular economy) sit close to SDGs, indicating a mechanism-oriented extension of the agenda.
Figure 1 Overview of study
Figure 2 : Detailed Breal down of study
The metadata audit reveals that core bibliographic fields—Abstract, Document Type, Journal, Language, Publication Year, Title and Total Citations all have less than 0.00% missingness, suggesting a credible enough performance and citation-based analysis to be based on. There are small gaps for the fields Affiliation and Author (0.62% each), Cited References (1.13%) and Author Keywords(DE) (1.85%), which are unlikely to bias results, but may slightly underestimate collaboration, network density or keyword frequency counts.
Weaken DOI: \ -A moderate lack of this information could impact on the record disambiguation and link-out process; crossref enrichment is recommended. The most severe deficits in the data are 60.87% missingness in Keywords Plus (ID) that allows expansion of co-words beyond those specified by authors, and 100% absence of Corresponding Author (RP) and Science Categories (WC), which prevent corresponding-author mapping and category normalization at the level of categories themselves. Formally, the dataset is very strong for performance analyses (growth, sources, citations) and co-authorship/citation networks but interpret thematic mapping prioritizing DE terms (with a careful stemming/merging strategy), field-normalized indicators or category comparisons with care or avoid them. If reported, these lacunae in the Methods section and, where possible, additional DOI/ID/WC with Scopus/WoS export(s) or Crossref lookup will enhance reproducibility and interpretive depth.
Figure 3 Annual Production
Table 1 Production of Articles
|
Year |
Articles |
|
2006 |
3 |
|
2007 |
3 |
|
2008 |
1 |
|
2009 |
4 |
|
2010 |
10 |
|
2011 |
8 |
|
2012 |
9 |
|
2013 |
11 |
|
2014 |
19 |
|
2015 |
12 |
|
2016 |
20 |
|
2017 |
17 |
|
2018 |
32 |
|
2019 |
63 |
|
2020 |
64 |
|
2021 |
79 |
|
2022 |
96 |
|
2023 |
105 |
|
2024 |
196 |
|
2025 |
219 |
There is a three phase life cycle of influence for the annual science productivity. A very long gestation period (2005-2013) is associated with minimal and inconsistent level of output, leading to a gradual take-off from around 2014 through 2019, when contributions become increasingly frequent and methodologically congruent. From 2019, the curve increases dramatically having a sharp kink in 2024–2025 where annually published articles approximately doubles over compared to 2023. This S-curve–shaped evolution is suggestive of a field that shifts from exploratory to consolidation and mainstreaming, which most probably is driven by exogenous triggers (say regulatory attention, data/tool availability/range or adjacent technological shocks). Substantively, the trend suggests (a) the corpus now supports science mapping analysis with critical mass; (b) that canonical works congregate most plausibly in roughly 2014-2019 window where frontier themes start to emerge predominantly after 2022; and c) intensified outlet competition and collaboration are likely to re-shape citation distributions and field-level impact metrics in short order. Careful interpretations of pre-2013 trends are necessary due to small counts, and the post-2019 turning-point inflection should drive the story and be closely associated with context-specific changes in the field.
Figure 4 : Average Citations per Year
Table 2 : Citation Count
|
Year |
MeanTCperArt |
N |
MeanTCperYear |
CitableYears |
|
2006 |
24.33 |
3 |
1.22 |
20 |
|
2007 |
137.67 |
3 |
7.25 |
19 |
|
2008 |
14.00 |
1 |
0.78 |
18 |
|
2009 |
42.75 |
4 |
2.51 |
17 |
|
2010 |
29.40 |
10 |
1.84 |
16 |
|
2011 |
22.12 |
8 |
1.47 |
15 |
|
2012 |
27.78 |
9 |
1.98 |
14 |
|
2013 |
52.45 |
11 |
4.03 |
13 |
|
2014 |
37.47 |
19 |
3.12 |
12 |
|
2015 |
78.00 |
12 |
7.09 |
11 |
|
2016 |
62.65 |
20 |
6.26 |
10 |
|
2017 |
24.94 |
17 |
2.77 |
9 |
|
2018 |
35.59 |
32 |
4.45 |
8 |
|
2019 |
42.70 |
63 |
6.10 |
7 |
|
2020 |
48.14 |
64 |
8.02 |
6 |
|
2021 |
33.16 |
79 |
6.63 |
5 |
|
2022 |
17.12 |
96 |
4.28 |
4 |
|
2023 |
15.86 |
105 |
5.29 |
3 |
|
2024 |
8.71 |
196 |
4.36 |
2 |
|
2025 |
1.44 |
219 |
1.44 |
1 |
Annual publications increased gradually to 2018, grew rapidly from 2019, and spiked in 2024–25 (Fig. Throughout the years, average citations per year are peaking around 2015 and later for a subset of this cohort in Figure 2, with a subsequent decrease in the last cohorts – this can be explained by shorter citation windows and faster increment of number of citable documents. Accordingly, the lower RADDs for 2023–2025 reflect recentness and denominator effects rather than meaningful declining influence.
Average citations per year:
Average citation rates vary, rising to a maximum circa 2015 and 2020 and are typically downward in the years of 2022—2025.
Two mechanical forces explain this:
Thus, the estimated drop in 2023-25 should not be interpreted as a declining influence but again as due to newness combined with accelerated growth. The 2020 local peak may be attributed to the event-driven attention and topic salience, which decays as the field becomes more diverse.
Synthesis and implications:
Overall, increasing production with temporarily depressed average citations is what you might expect from a field that’s in rapid growth. Short-term expectations need to be shaped around impact redistribution—a fatter long tail with increasing number of what are now moderately cited papers, and not immediate upward shifts in cohort means. In evaluation and discussion, favoring field- and age-normalized metrics (e.g., citations per year since publication; the percentile-based indicators like top-10% coverage) over raw means, and reporting medians alongside means to account for skewness.
Figure 5 Author Scope
Author perspective. Fig. 5(Three-field plot): The most salient generators such as Han, Heesup; Font, Xavier w/ Guix, Mireia are at the frontier to ‘sustainability’—hospitality industry interaction (as shown by their thick flows towards sustainability, hotel-industry and hospitality industry)) with high-throughput “influences” in behavioral theory (theory of planned behavior) and method results including SEM canon).
Building on this, Filimonau and Duarte Alonso then stretch the agenda to operational and managerial matters (waste management, leadership, innovation), whereas Elshaer and Azzaz further focus on micro-level organizational mechanisms (e.g., employee perceptions/HRM). The thinner bands of Seyfi and Zhang are truncated by perception and CSR elements indicating emergent crossings into destination image and stakeholder attitudes. As a whole, the structure portrays what is methodologically converged but thematically clustered author ecosystem with a small number of integrators connecting into operational and organisational sub-streams.
Following is an author-centric reading of the tri-field plot (CR → AU → KW_Merged). I concentrate on what the flows tell us of roles, methods and topical positionings of those authors who are mentioned and conclude with how to write this up in your Results.
The strongest AU bonds link Han, Heesup and Font, Xavier (with Guix, Mireia explicitly overlapping), to high-central keywords (sustainability, hospitality/hotel industry, and tourism). Their upstream connections to key references (Ajzen’s TPB; SEM methods ala Bagozzi, Anderson & Gerbing) confirm their instantiation of behavioral-intention models in hospitality contexts, with SEM and TPB-style constructs (attitude → intention/behaviour) like some others integrated with qualitative/thematic analyses. This positions them as methodologically middle-road anchors in the sustainability–hospitality discourse.
Where multiple authors converged on a single keyword or networking leaves donut (plots) to one side, it is not as if they did it anywhere else; the collaboratively-competitively core was a small set of high centrality terms: many teams published using SEM and TPB on overlapping constructs. Where other authors’ bands converge on niche terms (waste management, leadership, and innovation), propose bridging positions, ones which might be used to identify potential co-authorships that bridge elsewhere the mainline sustainability-intention model and realms operational/organizational.
Robust AU links to Ajzen (1991) and SEM canon validate construct equivalence between teams; you can thus feel comfortable, in your meta-synthesis, treating measures (e.g., environmental attitude, perceived behavioral control, green image, intention) as commensurate through relevant harmonization. The introduction of “undefined (2018/2020)” nodes on the CR side points out failed reference unification, which once resolved will clarify which authors really bridge between several subject areas.
Figure 6 : Authour Production
Table 3 : Author Production Over Time
|
Author |
year |
freq |
TC |
TCpY |
|
BUHALIS, DIMITRIOS |
2024 |
2 |
279 |
139.5 |
|
HAN, HEESUP |
2021 |
2 |
564 |
112.8 |
|
BUHALIS, DIMITRIOS |
2023 |
1 |
215 |
71.667 |
|
DHIR, AMANDEEP |
2021 |
1 |
288 |
57.6 |
|
DHIR, AMANDEEP |
2020 |
1 |
325 |
54.167 |
|
FILIMONAU, VIACHASLAU |
2019 |
1 |
330 |
47.143 |
|
FAYYAD, SAMEH |
2024 |
6 |
93 |
46.5 |
|
AZZAZ, ALAA M.S. |
2024 |
5 |
78 |
39 |
|
ELSHAER, IBRAHIM A. |
2024 |
5 |
78 |
39 |
|
GAJIĆ, TAMARA |
2024 |
3 |
65 |
32.5 |
|
CHUA, BEE LIA |
2024 |
3 |
62 |
31 |
|
HAN, HEESUP |
2024 |
4 |
62 |
31 |
|
AZZAZ, ALAA M.S. |
2023 |
2 |
86 |
28.667 |
|
ELSHAER, IBRAHIM A. |
2023 |
2 |
86 |
28.667 |
|
FAYYAD, SAMEH |
2023 |
2 |
86 |
28.667 |
|
HAN, HEESUP |
2018 |
1 |
207 |
25.875 |
|
BUHALIS, DIMITRIOS |
2025 |
1 |
19 |
19 |
|
HAN, HEESUP |
2023 |
2 |
51 |
17 |
|
DHIR, AMANDEEP |
2023 |
2 |
50 |
16.667 |
|
AL-ROMEEDY, BASSAM SAMIR |
2024 |
4 |
32 |
16 |
|
HALL, C. MICHAEL |
2022 |
2 |
63 |
15.75 |
|
SEYFI, SIAMAK |
2022 |
2 |
63 |
15.75 |
|
VO-THANH, TAN |
2022 |
2 |
63 |
15.75 |
|
SEYFI, SIAMAK |
2024 |
1 |
27 |
13.5 |
|
VO-THANH, TAN |
2024 |
1 |
27 |
13.5 |
|
ELBANNA, SAID |
2023 |
3 |
39 |
13 |
|
AGINA, MOHAMED FATHY |
2023 |
1 |
38 |
12.667 |
|
AL-ROMEEDY, BASSAM SAMIR |
2023 |
1 |
38 |
12.667 |
|
KHAIRY, HAZEM AHMED |
2023 |
1 |
38 |
12.667 |
|
KHAIRY, HAZEM AHMED |
2024 |
3 |
25 |
12.5 |
|
ELBANNA, SAID |
2020 |
1 |
71 |
11.833 |
|
BONILLA-PRIEGO, MARÍA JESÚS |
2018 |
1 |
87 |
10.875 |
|
FONT, XAVIER |
2018 |
1 |
87 |
10.875 |
|
GUIX, MIREIA |
2018 |
1 |
87 |
10.875 |
|
CHUA, BEE LIA |
2023 |
1 |
32 |
10.667 |
|
IVANOVIĆ, VELIBOR |
2023 |
1 |
31 |
10.333 |
|
KALENJUK PIVARSKI, BOJANA M. |
2023 |
1 |
31 |
10.333 |
|
TEŠANOVIĆ, DRAGAN VELJKO |
2023 |
1 |
31 |
10.333 |
|
BONILLA-PRIEGO, MARÍA JESÚS |
2025 |
1 |
10 |
10 |
|
FONT, XAVIER |
2025 |
1 |
10 |
10 |
|
GUIX, MIREIA |
2025 |
2 |
10 |
10 |
|
CHOU, SHENGFANG |
2018 |
1 |
72 |
9 |
|
LIMA SANTOS, LUÍS |
2020 |
1 |
53 |
8.833 |
|
FONT, XAVIER |
2021 |
1 |
44 |
8.8 |
|
FONT, XAVIER |
2022 |
1 |
35 |
8.75 |
|
HALL, C. MICHAEL |
2024 |
2 |
17 |
8.5 |
|
SHERENI, NGONI COURAGE |
2023 |
2 |
22 |
7.333 |
|
NICOLAIDES, ANGELO C. |
2018 |
3 |
57 |
7.125 |
|
VO-THANH, TAN |
2020 |
1 |
41 |
6.833 |
|
CHOU, SHENGFANG |
2022 |
1 |
27 |
6.75 |
|
DUARTE ALONSO, ABEL |
2022 |
1 |
26 |
6.5 |
|
DUARTE ALONSO, ABEL |
2010 |
3 |
96 |
6 |
|
CHOU, SHENGFANG |
2016 |
1 |
51 |
5.1 |
|
AL-ROMEEDY, BASSAM SAMIR |
2025 |
3 |
5 |
5 |
|
HALL, C. MICHAEL |
2016 |
1 |
50 |
5 |
|
BONILLA-PRIEGO, MARÍA JESÚS |
2019 |
1 |
34 |
4.857 |
|
FONT, XAVIER |
2019 |
1 |
34 |
4.857 |
|
GUIX, MIREIA |
2019 |
1 |
34 |
4.857 |
|
IVANOVIĆ, VELIBOR |
2022 |
1 |
18 |
4.5 |
|
KALENJUK PIVARSKI, BOJANA M. |
2022 |
1 |
18 |
4.5 |
|
LIMA SANTOS, LUÍS |
2024 |
1 |
9 |
4.5 |
|
TEŠANOVIĆ, DRAGAN VELJKO |
2022 |
1 |
18 |
4.5 |
|
LIMA SANTOS, LUÍS |
2021 |
2 |
22 |
4.4 |
|
FILIMONAU, VIACHASLAU |
2025 |
3 |
4 |
4 |
|
SHERENI, NGONI COURAGE |
2019 |
1 |
25 |
3.571 |
|
FILIMONAU, VIACHASLAU |
2024 |
1 |
7 |
3.5 |
|
AZZAZ, ALAA M.S. |
2025 |
1 |
3 |
3 |
|
CHOU, SHENGFANG |
2024 |
1 |
6 |
3 |
|
ELSHAER, IBRAHIM A. |
2025 |
1 |
3 |
3 |
|
FAYYAD, SAMEH |
2025 |
1 |
3 |
3 |
|
GIL-SAURA, IRENE |
2024 |
1 |
6 |
3 |
|
GUIX, MIREIA |
2024 |
1 |
5 |
2.5 |
|
HAN, HEESUP |
2025 |
1 |
2 |
2 |
|
IVANOVIĆ, VELIBOR |
2024 |
1 |
4 |
2 |
|
IVANOVIĆ, VELIBOR |
2025 |
2 |
2 |
2 |
|
KALENJUK PIVARSKI, BOJANA M. |
2024 |
1 |
4 |
2 |
|
KALENJUK PIVARSKI, BOJANA M. |
2025 |
2 |
2 |
2 |
|
NICOLAIDES, ANGELO C. |
2019 |
1 |
14 |
2 |
|
SHERENI, NGONI COURAGE |
2022 |
1 |
8 |
2 |
|
TEŠANOVIĆ, DRAGAN VELJKO |
2024 |
1 |
4 |
2 |
|
TEŠANOVIĆ, DRAGAN VELJKO |
2025 |
2 |
2 |
2 |
|
AGINA, MOHAMED FATHY |
2022 |
1 |
7 |
1.75 |
|
GIL-SAURA, IRENE |
2010 |
1 |
26 |
1.625 |
|
GIL-SAURA, IRENE |
2021 |
1 |
8 |
1.6 |
|
FUCHS, KEVIN |
2024 |
1 |
3 |
1.5 |
|
FUCHS, KEVIN |
2021 |
1 |
7 |
1.4 |
|
FUCHS, KEVIN |
2023 |
1 |
4 |
1.333 |
|
CHOU, SHENGFANG |
2023 |
1 |
3 |
1 |
|
GIL-SAURA, IRENE |
2023 |
1 |
3 |
1 |
|
KHAIRY, HAZEM AHMED |
2025 |
4 |
1 |
1 |
|
LIMA SANTOS, LUÍS |
2025 |
1 |
1 |
1 |
|
BONILLA-PRIEGO, MARÍA JESÚS |
2017 |
1 |
8 |
0.889 |
|
DUARTE ALONSO, ABEL |
2011 |
1 |
10 |
0.667 |
|
NICOLAIDES, ANGELO C. |
2020 |
1 |
4 |
0.667 |
|
GIL-SAURA, IRENE |
2012 |
1 |
8 |
0.571 |
|
SHERENI, NGONI COURAGE |
2024 |
1 |
1 |
0.5 |
|
AGINA, MOHAMED FATHY |
2025 |
2 |
0 |
0 |
|
FUCHS, KEVIN |
2025 |
2 |
0 |
0 |
|
GAJIĆ, TAMARA |
2025 |
2 |
0 |
0 |
|
HALL, C. MICHAEL |
2025 |
1 |
0 |
0 |
|
SEYFI, SIAMAK |
2025 |
2 |
0 |
0 |
|
VO-THANH, TAN |
2025 |
1 |
0 |
0 |
|
|
2007 |
1 |
0 |
0 |
|
|
2012 |
1 |
0 |
0 |
|
|
2013 |
1 |
0 |
0 |
|
|
2021 |
1 |
0 |
0 |
|
|
2024 |
1 |
0 |
0 |
|
|
2025 |
1 |
0 |
0 |
Table 3 : Lotka’s Law
|
Documents written |
N. of Authors |
Proportion of Authors |
Theoretical |
|
1 |
2317 |
0.876 |
0.654 |
|
2 |
231 |
0.087 |
0.163 |
|
3 |
57 |
0.022 |
0.073 |
|
4 |
15 |
0.006 |
0.041 |
|
5 |
16 |
0.006 |
0.026 |
|
6 |
2 |
0.001 |
0.018 |
|
8 |
4 |
0.002 |
0.01 |
|
9 |
1 |
0 |
0.008 |
|
10 |
1 |
0 |
0.007 |
Scope and inputs
Authors’ production over time and Lotka’s Law of the hospital- ity–sustainability domain This note presents a narrow understanding of two Biblioshiny outputs: Authors production over time and Lotkas law for the corpus (hospitality–sustainability domain). Visuals show the annual behavior of authors (bubble size = number of publications; shade = citations) and the empirical productivity distribution in comparison with Lotka's theoretical inverse-square law.
Key findings :
Implications
Limitations to disclose
Insufficient or missing metadata for corresponding authors/categories in the master file (see earlier note) restrict fine-grained leadership and field-normalized analyses; recent-year citation indicators are preliminary.
Figure 8 Most Frequent Words
Figure 9 Word Cloud
Table 4 : Keywords
|
|
|
|
Terms |
Frequency |
|
sustainability |
461 |
|
hospitality industry |
304 |
|
hospitality |
172 |
|
tourism |
160 |
|
hotel industry |
133 |
|
sustainable development |
112 |
|
tourism development |
62 |
|
corporate social responsibility |
59 |
|
ecotourism |
59 |
|
innovation |
47 |
|
hotels |
46 |
|
covid-19 |
44 |
|
environmental sustainability |
40 |
|
food waste |
38 |
|
perception |
38 |
|
marketing |
36 |
|
sustainable tourism |
35 |
|
waste management |
34 |
|
leadership |
31 |
|
stakeholder |
29 |
|
tourist destination |
27 |
|
environmental management |
26 |
|
hotel |
26 |
|
tourism management |
25 |
|
environmental economics |
24 |
|
environmental impact |
24 |
|
service quality |
24 |
|
business development |
23 |
|
consumption behavior |
22 |
|
green hotels |
22 |
|
questionnaire survey |
22 |
|
circular economy |
21 |
|
climate change |
21 |
|
management practice |
21 |
|
decision making |
20 |
|
literature review |
20 |
|
green economy |
19 |
|
resource management |
18 |
|
strategic approach |
18 |
|
hospital sector |
17 |
|
human |
17 |
|
human resource |
17 |
|
sustainable development goals |
17 |
|
tourist behavior |
17 |
|
artificial intelligence |
16 |
|
empirical analysis |
15 |
|
environment |
15 |
|
knowledge |
15 |
|
public attitude |
15 |
|
spain |
15 |
The distribution of keywords reveals a very strong concentration of the conceptual core in sustainability (n = 461) with in b49hospitality industry_’ (n = 304), as well as with its sectoral subsets, hospitality’ (n = 172, tourism’ (n = 160) and hotel industry’( n =133). We then find that agenda-framing level is found in sustainable development (n = 112) with managerial and also destination lens from tourism development, corporate social responsibility, ecotourism (each ≈ 59–62), and innovation (n = 47). Combined, these findings suggest sustainability research in this pool is rooted within hotel/hospitality operations and guest-destination environments, with CSR and innovation as subordinate (potential niche) thematic threads.
Summary of high-frequency terms
Conceptual center of the corpus is undeniably sustainability (n = 461), apparently linked with hospitality business (n = 304) and industry (generic) hospitality (n = 172) and tourism more generally speaking (n = 160) according to keywords provided by authors. An even stronger sector is the hotel industry (n = 133). Policy/agenda language is visible through sustainable development (n = 112). The primarily such neighbouring managerial/strategic lenses— tourism development (n = 62), corporate social responsibility (n = 59), ecotourism (n = 59) and innovation (47)—are the most commonly secondary terms.
Academic interpretation
Conceptual nucleus. This is supported by the frequency profile and word cloud that reflect a domain–theme fit, such that sustainability is predominantly researched in hospitality/hotels and tourism as opposed to general, multi-industry corporations. This positioning is adopted to underscore that measurement, theorization, and managerial implications are rooted in the context of service operations, guest behavior, and destination management.
From agenda to operationalization. The appearance of “sustainable development” in shifting to sector categorization may thus indicate that the literature often heavily constructs a sustainability narrative around policy/SDG narratives while CSR and innovation point towards the intermediate mechanisms (i.e., green practices, governance, product/process change). Ecotourism, and tourism development are destination-level lenses, unlike hotel industry (firm-level).
Figure 10 Thematic Map
The theme map illustrates motor themes concerning waste management and the environment which is evidence of a well-established, inter-connected research stream of operational sustainability in the hospitality industry. Fundamental themes—such as the large sustainability–hospitality cluster and the tourism development/ecotourism/innovation triad—are dominant, but also relatively disparate in nature, indicating a potential for theoretical integration. niche themes (e.g., spatiotemporal analysis, country-level contexts and applications: hospitality education/food industry) are method-/context-bound, while emergent/disappearing themes (e.g., hotel management, job satisfaction and capability lenses such as digital transformation and RBV) emerge as peripheral but provide avenues to reposition managerial constructs into sustainability-enabling capabilities.
Sustainability in hospitality is the field’s hub: from this central cluster of words, by far the biggest and concentrated central node connects “sustainability”, “hospitality industry” and “hospitality” with heterogeneous and less than consolidated academic discussions. Motor themes represented at the operational frontier waste management, environment and people are also central and unified around a mature line of research where hotels and tourism companies connect sustainability to concrete environmental practices (e.g : reduction, resource efficiency) as well as human consequences (employee/guest behaviours). Surrounding these core, basic themes are more fragmented, albeit still networked to the field but with looser density (e.g., tourism development, eco-tourism, innovation, green economy, resource management and human resource), not least indicating the potential for tightening theory ( e.g., capability–performance pathways that mediate by customer experience and willingness to pay).
Niche topics are loosely connected to the core of field and both methods- (e.g., spatiotemporal analysis) or context- (spatiotemporal analysis, country-restricted topic; e.g., Spain, Serbia), corona virus/COVID- 19, hospitality education” and “food industry. Emerging/Declining themes – Hospitality management, hotel management, job satisfaction and capability lenses regarding digital transformation, knowledge sharing, competitive advantage and the resource-based view – emerge as low on both centrality and density dimensions and may reflect legacy themes not yet re-framed through a sustainability lens or emerging streams of capabilities requiring assimilation. Taken together, the map presents an area where sustainabil ity can be seen as credibly operationalised in hotel/tourism contexts, but with future payoffs to emerge from (i) connecting operations to market performances such as customer satisfaction/loyalty/WTP and (ii) ratcheting up capabilities (digital/knowledge/RBV-based) as mediations enabling sustainability-relevant performance outcomes and, all else equal (iii) generalizing beyond largely site- or place-specific niche insights with matching metrics that enable comparability across cases.
Figure 11 : World Map
Figure 12 : Hierarchical clustering dendrogram
Table 7 Word Mapping
|
word |
Dim1 |
Dim2 |
cluster |
|
sustainability |
0.28 |
0.20 |
1 |
|
hospitality industry |
0.42 |
0.24 |
1 |
|
hospitality |
-0.26 |
-0.02 |
1 |
|
tourism |
-0.10 |
0.16 |
1 |
|
hotel industry |
0.78 |
-0.09 |
1 |
|
sustainable development |
0.51 |
-0.10 |
1 |
|
tourism development |
0.81 |
1.63 |
1 |
|
corporate social responsibility |
0.33 |
-0.14 |
1 |
|
ecotourism |
0.75 |
1.68 |
1 |
|
innovation |
0.42 |
0.13 |
1 |
|
hotels |
0.53 |
-0.89 |
1 |
|
covid-19 |
0.07 |
0.71 |
1 |
|
environmental sustainability |
0.39 |
-0.09 |
1 |
|
food waste |
0.24 |
-0.58 |
1 |
|
perception |
1.66 |
0.48 |
1 |
|
marketing |
0.97 |
0.99 |
1 |
|
sustainable tourism |
-0.28 |
0.75 |
1 |
|
waste management |
0.84 |
-0.70 |
1 |
|
leadership |
0.93 |
-0.27 |
1 |
|
stakeholder |
1.27 |
0.91 |
1 |
|
tourist destination |
0.82 |
2.52 |
1 |
|
environmental management |
1.02 |
-1.31 |
1 |
|
hotel |
0.01 |
-0.30 |
1 |
|
tourism management |
0.73 |
1.54 |
1 |
|
environmental economics |
1.88 |
-0.91 |
1 |
|
environmental impact |
1.16 |
-1.13 |
1 |
|
service quality |
0.69 |
0.10 |
1 |
|
business development |
1.16 |
1.05 |
1 |
|
consumption behavior |
1.43 |
0.89 |
1 |
|
green hotels |
-0.11 |
0.12 |
1 |
|
questionnaire survey |
2.51 |
-0.08 |
1 |
|
circular economy |
-0.21 |
-0.29 |
1 |
|
climate change |
0.50 |
-0.32 |
1 |
|
management practice |
2.40 |
-0.26 |
1 |
|
decision making |
1.33 |
-0.15 |
1 |
|
literature review |
1.22 |
0.64 |
1 |
|
green economy |
2.44 |
-1.78 |
1 |
|
resource management |
2.90 |
-2.60 |
1 |
|
strategic approach |
1.43 |
0.79 |
1 |
|
hospital sector |
1.13 |
1.10 |
1 |
|
human |
1.76 |
-1.76 |
1 |
|
human resource |
3.09 |
-2.20 |
1 |
|
sustainable development goals |
-0.81 |
-0.29 |
1 |
|
tourist behavior |
0.86 |
2.71 |
1 |
|
artificial intelligence |
-0.24 |
-0.30 |
1 |
|
empirical analysis |
0.77 |
1.00 |
1 |
|
environment |
0.35 |
-1.03 |
1 |
|
knowledge |
0.67 |
1.20 |
1 |
|
public attitude |
2.41 |
-1.28 |
1 |
|
spain |
0.83 |
0.00 |
1 |
|
sustainable practices |
0.35 |
-0.14 |
1 |
|
tourism economics |
0.68 |
1.33 |
1 |
he hierarchical dendrogram of author keywords shows a cohesive group of thematic constellations agglomerating at loose linkage distances, which reflects focused co-occurrence within sub-domains. A central grouping combines waste mgt/food waste–environmental services (mgt) – enviro impact, reflecting the underlying operational reality of sustainability in hotels. A second cluster involves hospitality/hotel/hospital sector and service quality/leadership/innovation, which suggests an organizational–service performance linkage. A third cluster combined: tourism development/ ecotourism/tourism management/economics indicating destination level governance and market development issues. A second cluster includes management practice/decision making/perception/stakeholder/consumption behavior, fitting with behavioral-informed managerial decision studies. Finally, a policy/capability cluster ties sustainable development/SDGs–circular economy–artificial intelligence/green hotels linking emergent capability and technology lenses with agenda terms.
These structures seem to be supported by the MCA conceptual map: words of each LL subject clearly lie along two interpretable dimensions. Dim-1 (≈36% inertia) embraces from the organizational/resource (human resource, resource management, green economy, public attitude) to the behavioural-market outcomes (tourist behavior, tourist destination, consumption behaviour) and Dim-2 (≈16% inertia), distances operational–environmental affairs (environmental management/impact, waste management, climate change) versus method/strategy and destination governance (questionnaire survey; management practice; tourism management/economics; strategic approach). The cloud in the middle—sustainability, hospitality industry, hotel industry, service quality, innovation—is the field’s integrative hub and AI and circular economy satellites with sustainable development goals are a representative set of capability-oriented agenda extension.
Implications.
These structures suggest (i) a mature operations–environment stream, which may now be linked causally to market outcomes (guest satisfaction, loyalty, WTP); (ii) opportunities to upgrade capabilities from peripheral to core via an embedding into sustainable performance models focusing on digitally-intensive practices/AI practices circular economy strategies and green HRM; and; (iii) potential to connect destination governance with firm-level operations through multi-level designs. For reporting, name clusters according to their main terms, specify MCA inertia shares and axes interpretations; mention emerging capability terms are in line with SDGs to motivate the paper contribution.
Overall, the field is mature in operations–environment and broad but fragmented in the central sustainability–hospitality basin. Mature streams have standardized constructs and measures (e.g., TPB variables; SEM models; operational KPIs), enabling cumulative testing; the next gains lie in causal linkage from practices to market outcomes (customer satisfaction, loyalty, willingness to pay). The author ecosystem is concentrated, which helps comparability but risks path dependence; incentives should encourage cross-team replication, parameter sensitivity checks (e.g., network normalizations; keyword thresholds), and multi-method designs that triangulate behavioral models with operational and financial data.
Analyses rely on Author Keywords due to high missingness in Keywords Plus, with incomplete corresponding author and category metadata. Recent cohorts (2023–2025) have short citation windows; their citation indicators are provisional. These constraints are disclosed and mitigated by focusing on robust structures (growth, co-word, clustering, and MCA) and by avoiding category-normalized comparisons.