Recognizing the pivotal role of information and communication technologies (ICTs) in generating economic benefits within the tourism and hospitality industry, this research aimed to develop a comprehensive understanding of the economic impacts of ICTs through a systematic review of the literature published on this topic since 2000. Synthesizing the information shared in 60 articles, this research presents the methodological approaches and identifies that the economic impacts of ICTs can be categorized into performance (financial and operational), operational efficiency (e.g., cost reduction and operation time saving), and market (e.g., popularity and reputation). Furthermore, this research discusses potential directions for future studies examining the economic impacts of ICTs. The present research contributes to the literature by synthesizing knowledge on the economic impacts of ICTs in the tourism and hospitality industry. The findings also serve as a valuable reference for industry practitioners seeking to navigate the extensive body of knowledge in this field.
AdeolaOEvansO (2020) ICT, infrastructure, and tourism development in Africa. Tourism Economics26(1): 97–114.
2.
AlrawadiehZAlrawadiehZCetinG (2021) Digital transformation and revenue management: evidence from the hotel industry. Tourism Economics27(2): 328–345.
3.
AzevedoA (2021) Using social media photos as a proxy to estimate the recreational value of (im) movable heritage: the Rubjerg Knude (Denmark) lighthouse. International Journal of Contemporary Hospitality Management33(6): 2283–2303.
4.
BanerjeeTNayakAZhaoH (2021) A county-level study of the effects of state-mandated COVID-19 lockdowns on urban and rural restaurant visits using consumers’ cell phone geo-location data. Journal of Public Health31: 249–258.
5.
BarmanHNathHK (2019) What determines international tourist arrivals in India?Asia Pacific Journal of Tourism Research24(2): 180–190.
6.
BernéCGarcía-GonzálezMGarcía-UcedaME, et al. (2015) The effect of ICT on relationship enhancement and performance in tourism channels. Tourism Management48: 188–198.
7.
BignéEOltraEAndreuL (2019) Harnessing stakeholder input on Twitter: a case study of short breaks in Spanish tourist cities. Tourism Management71: 490–503.
8.
BuhalisD (1998) Strategic use of information technologies in the tourism industry. Tourism Management19(5): 409–421.
9.
CohenJFOlsenK (2013) The impacts of complementary information technology resources on the service-profit chain and competitive performance of South African hospitality firms. International Journal of Hospitality Management34: 245–254.
10.
CookDJMulrowCDHaynesRB (1997) Systematic reviews: synthesis of best evidence for clinical decisions. Annals of internal medicine126(5): 376–380.
DenyerDTranfieldD (2009) Producing a systematic review. In: BuchananDABrymanA (eds). The Sage Handbook of Organizational Research Methods. London, UK: Sage Publications Ltd, 671–689.
13.
Esparza-AguilarJLGarcía-Pérez-de-LemaDDuréndezA (2016) The effect of accounting information systems on the performance of Mexican micro, small and medium-sized family firms: an exploratory study for the hospitality sector. Tourism Economics22(5): 1104–1120.
14.
Garrido-MorenoAGarcía-MoralesVJLockettN, et al. (2018) The missing link: Creating value with social media use in hotels. International Journal of Hospitality Management75: 94–104.
15.
Garrigos-SimonFJGaldonJLSanz-BlasS (2017) Effects of crowdvoting on hotels: the Booking. com case. International Journal of Contemporary Hospitality Management29(1): 419–437.
16.
GholipourHFAndargoliAEArjomandiA, et al. (2022) Capital investment in telecommunications infrastructure and tourist arrivals in developing countries: does the public–private sectors relationship matter?Tourism Economics28(7): 1805–1822.
17.
GonzalezRGascoJLlopisJ (2020) Information and communication technologies and human resources in hospitality and tourism. International Journal of Contemporary Hospitality Management32(11): 3545–3579.
18.
GuanXGongJLiM, et al. (2022) Exploring key factors influencing customer behavioral intention in robot restaurants. International Journal of Contemporary Hospitality Management34(9): 3482–3501.
19.
GuedesAFariaSGouveiaS, et al. (2023) The effect of virtual proximity and digital adoption on international tourism flows to Southern Europe. Tourism Economics29(6): 1643–1661.
20.
HorngJSLiuCHChouSF, et al. (2022) Role of big data capabilities in enhancing competitive advantage and performance in the hospitality sector: knowledge-based dynamic capabilities view. Journal of Hospitality and Tourism Management51: 22–38.
21.
HuaNHightSWeiW, et al. (2019) The power of e-commerce: does e-commerce enhance the impact of loyalty programs on hotel operating performance?International Journal of Contemporary Hospitality Management31(4): 1906–1923.
22.
HuaNHuangAMedeirosM, et al. (2020) The moderating effect of operator type: the impact of information technology (IT) expenditures on hotels’ operating performance. International Journal of Contemporary Hospitality Management32(8): 2519–2541.
23.
HuangL (2012) Social media as a new play in a marketing channel strategy: evidence from Taiwan travel agencies' blogs. Asia Pacific Journal of Tourism Research17(6): 615–634.
24.
HuangXBaoXLiZ, et al. (2023) Black businesses matter: a longitudinal study of black-owned restaurants in the COVID-19 pandemic using geospatial big data. Annals of the American Association of Geographers113(1): 189–205.
25.
JangSChongKYooC (2021) The effect of mobile application-driven customer participation on bakery purchase behavior: evidence from a field experiment. International Journal of Hospitality Management94: 102865.
26.
JayaramanTKMakunKK (2020) Tourism–growth nexus in Pacific Island Countries: a panel study on information and communication technology as a contingent factor. Tourism Economics26(3): 371–388.
27.
JiangQMcCabeS (2021) Information technology and destination performance: examining the role of dynamic capabilities. Annals of Tourism Research91: 103292.
KimWHChaeB (2018) Understanding the relationship among resources, social media use and hotel performance: the case of Twitter use by hotels. International Journal of Contemporary Hospitality Management30(9): 2888–2907.
30.
KimWGParkSA (2017) Social media review rating versus traditional customer satisfaction: which one has more incremental predictive power in explaining hotel performance?International Journal of Contemporary Hospitality Management29(2): 784–802.
31.
KumarRRKumarR (2012) Exploring the nexus between information and communications technology, tourism and growth in Fiji. Tourism Economics18(2): 359–371.
32.
LawRLeungDAuN, et al. (2013) Progress and development of information technology in the hospitality industry: evidence from Cornell hospitality quarterly. Cornell Hospitality Quarterly54(1): 10–24.
33.
LawRBuhalisDCobanogluC (2014) Progress on information and communication technologies in hospitality and tourism. International Journal of Contemporary Hospitality Management26(5): 727–750.
34.
LawRLeungDChanICC (2020) Progression and development of information and communication technology research in hospitality and tourism: a state-of-the-art review. International Journal of Contemporary Hospitality Management32(2): 511–534.
35.
LeePYKoseogluMAQiL, et al. (2021) The sway of influencer marketing: evidence from a restaurant group. International Journal of Hospitality Management98: 103022.
36.
LiJXuLTangL, et al. (2018) Big data in tourism research: a literature review. Tourism Management68: 301–323.
37.
LiuYShiJ (2019) How inter-city high-speed rail influences tourism arrivals: evidence from social media check-in data. Current Issues in Tourism22(9): 1025–1042.
38.
LiuSWeiCVKalgotraP, et al. (2022) Seeing is believing? Data mining to create a choice-based conjoint approach for restaurant mobile marketing. International Journal of Hospitality Management104: 103248.
39.
Melián-GonzálezSBulchand-GidumalJ (2016) A model that connects information technology and hotel performance. Tourism Management53: 30–37.
40.
MhlangaO (2022) Meal-sharing’platforms: a boon or bane for restaurants?Current Issues in Tourism25(20): 3291–3308.
41.
NietoJHernández‐MaestroRMMuñoz‐GallegoPA (2011) The influence of entrepreneurial talent and website type on business performance by rural tourism establishments in Spain. International Journal of Tourism Research13(1): 17–31.
42.
PiccoliGLuiTWGrünB (2017) The impact of IT-enabled customer service systems on service personalization, customer service perceptions, and hotel performance. Tourism Management59: 349–362.
43.
QianLZhangC (2023) Complementary or congruent? The effect of hosting Tesla charging stations on hotels’ revenue. Journal of Travel Research62(3): 663–684.
44.
RaunJAhasRTiruM (2016) Measuring tourism destinations using mobile tracking data. Tourism Management57: 202–212.
45.
RehmanOULiuXRaufA, et al. (2020) Internet tradition and tourism development: a causality analysis on BRI listed economies. Tourism Economics26(6): 926–957.
46.
SamaraDMagnisalisIPeristerasV (2020) Artificial intelligence and big data in tourism: a systematic literature review. Journal of Hospitality and Tourism Technology11(2): 343–367.
47.
SharmaAUpnejaA (2005) Factors influencing financial performance of small hotels in Tanzania. International Journal of Contemporary Hospitality Management17(6): 504–515.
48.
ShehzadKLiuXRaufA, et al. (2019) Revolutionising tourism development in China: an effective role of ICT and Western Silk Road project. Asia Pacific Journal of Tourism Research24(9): 965–977.
49.
ShinHHJeongM (2020) Guests’ perceptions of robot concierge and their adoption intentions. International Journal of Contemporary Hospitality Management32(8): 2613–2633.
50.
ShinHHShinSGimJ (2023) Looking back three decades of hospitality and tourism technology research: a bibliometric approach. International Journal of Contemporary Hospitality Management35(2): 563–588.
51.
SoKKFLiXKimH (2020) A decade of customer engagement research in hospitality and tourism: a systematic review and research agenda. Journal of Hospitality & Tourism Research44(2): 178–200.
52.
SoKKFKimHKingC (2021) The thematic evolution of customer engagement research: a comparative systematic review and bibliometric analysis. International Journal of Contemporary Hospitality Management33(10): 3585–3609.
53.
TangCF (2021) The threshold effects of educational tourism on economic growth. Current Issues in Tourism24(1): 33–48.
54.
TavitiyamanPQuHZhangHQ (2011) The impact of industry force factors on resource competitive strategies and hotel performance. International Journal of Hospitality Management30(3): 648–657.
55.
TsaiHTHuangLLinCG (2005) Emerging e-commerce development model for Taiwanese travel agencies. Tourism Management26(5): 787–796.
56.
UyarAKuzeyCKoseogluMA, et al. (2023) Travel and tourism competitiveness index and the tourism sector development. Tourism Economics29(4): 1005–1031.
57.
VishwakarmaPMukherjeeSDattaB (2020) Travelers’ intention to adopt virtual reality: a consumer value perspective. Journal of Destination Marketing & Management17: 100456.
58.
VisserMVan EckNJWaltmanL (2021) Large-scale comparison of bibliographic data sources: Scopus, Web of Science, dimensions, Crossref, and Microsoft Academic. Quantitative science studies2(1): 20–41.
59.
WebsterJWatsonRT (2002) Analyzing the past to prepare for the future: Writing a literature review. MIS quarterly4(1): xiii–xxiii.
60.
WuPCLiuHYLiuSY, et al. (2021) Can financial technology development change the causality between tourism and economic growth?Current Issues in Tourism24(11): 1613–1630.
61.
XieKLChenCWuS (2016) Online consumer review factors affecting offline hotel popularity: evidence from tripadvisor. Journal of Travel & Tourism Marketing33(2): 211–223.
62.
YangYLiuHChenX (2020) COVID-19 and restaurant demand: early effects of the pandemic and stay-at-home orders. International Journal of Contemporary Hospitality Management32(12): 3809–3834.
63.
YostEZhangTQiR (2021) The power of engagement: understanding active social media engagement and the impact on sales in the hospitality industry. Journal of Hospitality and Tourism Management46: 83–95.
64.
ZaidanE (2017) Analysis of ICT usage patterns, benefits and barriers in tourism SMEs in the Middle Eastern countries: the case of Dubai in UAE. Journal of Vacation Marketing23(3): 248–263.
65.
ZhangYGaoJColeS, et al. (2021) How the spread of user-generated contents (UGC) shapes international tourism distribution: using agent-based modeling to inform strategic UGC marketing. Journal of Travel Research60(7): 1469–1491.
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