Achieving Competitiveness in Greek Accommodation Establishments during Recession

Παππάς, Νικόλαος

doi:10.1002/jtr.1995

Cited by 28 publications

(24 citation statements)

References 69 publications

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“…For once more fsQCA appears to be more efficient than Cramer's V, since it better illustrates the influence of the examined constructs on consumers' purchasing intention. Table 5 Fit and predictive validity Most of the researchers focusing on the examination of specific models implement model fit (Gigerenzer and Brighton, 2009) in order to ensure that the data can create substantial grounds for the relationships amongst the observed variables and their respective factors (Pappas, 2015b). Thus, only very few studies concentrate on predictive validity (Papatheodorou and Pappas, n.d.;Wu et al, 2014), proposing that a good model is not necessarily dependent on a relevant good fit to observations (Gigerenzer and Brighton, 2009).…”

Section: Confirmation Of Tenetsmentioning

confidence: 99%

The complexity of purchasing intentions in peer-to-peer accommodation

Παππάς

2017

IJCHM

Self Cite

101

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Purpose: The study aims to examine the complexity of attribute configurations affecting tourism decisions related to peer-to-peer accommodation and the sharing economy in destinations affected by recession.Design/methodology/approach: Based on chaos and complexity theories this nonparametric research examines the perspectives of 352 peer-to-peer accommodation holidaymakers in Athens, Greece. Using fuzzy-set Qualitative Comparative Analysis (fsQCA), the study examines the complex relations between social and economic aspects, benefits, risks, and consumer trust with regard to purchasing intentions. The paper also compares fsQCA with the dominant linear methods of analysis (regression; Cramer's V) and highlights fsQCA's suitability when dealing with tourism complexity. Findings:The results reveal three configurations explaining the attributes of holidaymakers' tourism decisions characterised by socio-economic orientation, trust formulation, and price sensitivity. They also highlight the superiority of fsQCA towards conventional linear analyses in complexity aspects. Research limitations/implications:The examination of the complexity concept using fsQCA can provide a better understanding of the influence of attributes which affect tourism decisions especially for countries suffering from deep recession such as Greece. Still, due to the lack of fsQCA implementation in tourism studies its full potential needs to be further examined. Originality/value:In terms of the literature, the study provides an understanding of the complexity formulation of tourism decisions during recession, with special focus on the sharing economy. It further explores the attributes that affect tourism decisions and associated linkages. Methodologically, the study highlights the value of fsQCA and its advantages compared to conventional methods of correlational analysis. It also progresses from fit to predictive validity for the models suggested.Keywords: Sharing economy, Chaos Theory, Complexity Theory, Holidaymakers, fuzzy-set Qualitative Comparative Analysis, Greece Paper type: Research paper IntroductionThe sharing economy refers to exchange forms facilitated through the use of online platforms, and encompasses a diversity of activities that broadly aim to open access to under-utilised resources through what is termed 'sharing' (Richardson, 2015). Interest in the impact and nature of the sharing economy is rapidly growing, since the two dominant sharing economy platforms (Airbnb and Uber) have transformed within five years from entrepreneurial start-up companies to multi-billion internationally operating corporations (Konrad and Mac, 2014;Lashinsky, 2015). The development of the sharing economy is likely to transform the global tourism system and the way it serves societal needs (Martin, 2016). More specifically, Heinrichs (2013, p.228) perceives the sharing economy as a "pathway to sustainability" since it promotes sustainable consumption practices. Moreover it disrupts the driving unsustainable trends of hyper-consumption in m...

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Section: Confirmation Of Tenetsmentioning

confidence: 99%

The complexity of purchasing intentions in peer-to-peer accommodation

Παππάς

2017

IJCHM

Self Cite

101

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“…Issues considered here include whether innovation is prevalent in tourism and mainly novel or incremental. Several authors argue that competition is particularly strong in tourism and that innovation is imperative for the competitiveness of tourism firms, destinations and regions (Williams, 2014;Alsos et al, 2014;Martínez-Román et al, 2015;Pappas, 2015;Thomas & Wood, 2015). In particular, innovation appears to be especially important for the survival of small tourism firms, as well as peripheral destinations with a view to accelerate economic catch-up (Brouder, 2012;Brouder & Eriksson, 2013, Carlisle et al, 2013Martínez-Román et al, 2015).…”

Section: Nature Of Innovation In Tourismmentioning

confidence: 99%

“…Arguably, innovation is a ‘critical issue’ for the contemporary tourism and hospitality industries (Iplik et al ., ). Innovation is considered imperative for tourism firms either to enhance their competitiveness by adapting constantly to stay ahead of their competitors or simply to survive in an interconnected world (Brouder & Eriksson, ; Iplik et al ., ; Mattsson & Orfila‐Sintes, ; Martínez‐Román et al ., ; Pappas, ; Thomas & Wood, ). Nonetheless, several scholars argue that research on innovation in tourism is limited and a need exists for further measurement and analysis of the phenomenon, as well as for theoretical strengthening of tourism innovation studies (Camisόn & Monfort‐Mir, ; Brouder & Eriksson, ; Rodríguez et al ., ; Williams, ).…”

Section: Introductionmentioning

confidence: 99%

Tourism Innovation in the Global South: Evidence from the Western Cape, South Africa

Booyens

Rogerson

2016

Int. J. Tourism Res.

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A research gap exists for the conceptual strengthening, measurement and analysis of innovation at the tourism firm and systems levels, especially in the context of the global South. This paper investigates tourism innovation in the Western Cape region of South Africa. In particular, the nature and types of innovation by tourism firms and system actors are interrogated. It is revealed that innovation by tourism firms is widespread, albeit is largely incremental in nature. The main contribution of this research is the development of an expanded evidence‐based tourism innovation typology from a cross‐sectoral survey of tourism firms and qualitative interviews undertaken with tourism system actors. In addition, recommendations are provided regarding measurement of innovation in tourism. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Given that SMEs likely have limited access to technology and usually lack well-trained RM personnel, the proposed models were designed for execution in a worksheet environment with minimal training. It is nevertheless crucial to collect detailed customer information inside each organization, and to carry out basic investments in human resources to achieve the competitive advantage that can arise from increased productivity and managerial efficiency [31]. In this perspective, collaboration with local authorities in reservation management and event planning appears to be a relevant direction for sustainable development of the sector [1,4].…”

Section: Practical Implicationsmentioning

confidence: 99%

Reservation Forecasting Models for Hospitality SMEs with a View to Enhance Their Economic Sustainability

Fiori

Foroni

2019

Sustainability

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In many tourism destinations, sustainability of the local economy leans on small and medium-sized hotels that are individually owned and operated by members of the community. Suffering from seasonality more than their big competitors, these hotels should undertake marketing initiatives to counteract wide demand fluctuations. Such initiatives are most effective if based on accurate occupancy forecasts, which must be performed at the individual hotel level. In this aim, the present paper suggests a demand forecasting approach adapted to specific features that characterize reservation data for small and medium-sized enterprises (SMEs) in the hospitality sector. The proposed framework integrates historical and advanced booking methods into a forecast combination with time-varying, performance-based weights. Whereas historical methods use only past observations about the number of guests recorded on a particular stay night to forecast future room occupancy (long-term perspective), advanced booking methods predict bookings-to-come based on partially accumulated data from reservations on hand (short-term perspective). In order to provide a possible solution to data sparsity issues that affect the application of advanced booking models to hospitality SMEs, a procedure that incorporates length-of-stay information directly into the reservation processing phase is also introduced. The methodology is tested on real time series of reservation data from three Italian hotels, located either in a city center (Milan) or in a typical destination for seasonal holidays (Lake Maggiore). Model parameters are calibrated on a training dataset and the accuracy of the occupancy forecasts is evaluated on a holdout sample. The results validate earlier findings about combinations of long-term and short-term forecasts and, in addition, show that using performance-based weights improves the quality of forecasts. Reducing the risk of large forecast failures, the proposed methodology can indeed have practical implications for the design and implementation of effective demand-side policies in hospitality SMEs. These policies are expected to provide a competitive advantage that can be crucial to the sustainability of small establishments in a context of growing global tourism.

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Achieving Competitiveness in Greek Accommodation Establishments during Recession

Cited by 28 publications

References 69 publications

The complexity of purchasing intentions in peer-to-peer accommodation

The complexity of purchasing intentions in peer-to-peer accommodation

Tourism Innovation in the Global South: Evidence from the Western Cape, South Africa

Reservation Forecasting Models for Hospitality SMEs with a View to Enhance Their Economic Sustainability

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