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Article
Publication date: 18 February 2020

Hossein Olya, Timothy Hyungsoo Jung, Mandy Claudia Tom Dieck and Kisang Ryu

This paper aims to explore a complex combination of four realms of the experience economy in formulating memories and satisfaction among festival visitors by using…

Abstract

Purpose

This paper aims to explore a complex combination of four realms of the experience economy in formulating memories and satisfaction among festival visitors by using augmented reality (AR), thus engaging visitors in the physical science experience. This study also identifies necessary conditions to achieve desired responses from visitors.

Design/methodology/approach

Asymmetrical modelling with fuzzy set qualitative comparative analysis (fsQCA) was used to investigate causal recipes of two configurations of the experience economy and evaluation of experience leading to both high and low scores from visitor engagement. Necessary condition analysis was applied to examine necessary predictors in visitor engagement. The proposed configuration model was tested by using data obtained from visitors to science festivals in the UK.

Findings

Five causal recipes explained the complex conditions in which visitors were more likely engaged in AR. Aesthetics, education, entertainment and satisfaction were necessary for high engagement among festival visitors.

Research limitations/implications

The results from fsQCA and analyses of necessary conditions help festival organizers improve visitor satisfaction and engagement in a memorable AR experience.

Originality/value

This empirical study deepens current festival understanding of how visitors experience AR by exploring combinations of complex configurations of the experience economy and evaluations of visitor experience based on memories and satisfaction. Unlike symmetrical approaches, asymmetrical modelling by using fsQCA can explore recipes for both high and low scores of visitor satisfaction and engagement. This is the first empirical study investigating necessary predictors of festival visitor behaviour.

Details

International Journal of Contemporary Hospitality Management, vol. 32 no. 2
Type: Research Article
ISSN: 0959-6119

Keywords

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Article
Publication date: 18 May 2021

S. Mostafa Rasoolimanesh, Christian M. Ringle, Marko Sarstedt and Hossein Olya

This study aims to propose guidelines for the joint use of partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis…

Abstract

Purpose

This study aims to propose guidelines for the joint use of partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to combine symmetric and asymmetric perspectives in model evaluation, in the hospitality and tourism field.

Design/methodology/approach

This study discusses PLS-SEM as a symmetric approach and fsQCA as an asymmetric approach to analyze structural and configurational models. It presents guidelines to conduct an fsQCA based on latent construct scores drawn from PLS-SEM, to assess how configurations of exogenous constructs produce a specific outcome in an endogenous construct.

Findings

This research highlights the advantages of combining PLS-SEM and fsQCA to analyze the causal effects of antecedents (i.e., exogenous constructs) on outcomes (i.e., endogenous constructs). The construct scores extracted from the PLS-SEM analysis of a nomological network of constructs provide accurate input for performing fsQCA to identify the sufficient configurations required to predict the outcome(s). Complementing the assessment of the model’s explanatory and predictive power, the fsQCA generates more fine-grained insights into variable relationships, thereby offering the means to reach better managerial conclusions.

Originality/value

The application of PLS-SEM and fsQCA as separate prediction-oriented methods has increased notably in recent years. However, in the absence of clear guidelines, studies applied the methods inconsistently, giving researchers little direction on how to best apply PLS-SEM and fsQCA in tandem. To address this concern, this study provides guidelines for the joint use of PLS-SEM and fsQCA.

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Article
Publication date: 11 January 2018

Hossein Olya, Levent Altinay and Glauco De Vita

Using data from 104 countries over a six-year period (2009-2014), this study proposes a value-added predictor in service industries based on the eight indicators of the…

Abstract

Purpose

Using data from 104 countries over a six-year period (2009-2014), this study proposes a value-added predictor in service industries based on the eight indicators of the prosperity index, namely economy, entrepreneurship and opportunity, governance, education, health, safety and security, personal freedom and social capital.

Design/methodology/approach

The fuzzy-set qualitative comparative analysis (fsQCA) and complexity theory, a relatively novel approach for developing and testing the conceptual model, are used for asymmetric modelling of value added in service industries, and the predictive validity of proposed configural model is tested.

Findings

Apart from advancing method and theory, this study simulates causal conditions (i.e. recipes) leading to both high and low scores of the value added of services. The configural conditions indicating a high/low level of value added in service industries can be used as a guiding strategy for marketers, investors and policy makers.

Originality/value

An analysis of worldwide data provides complex models demonstrating both how to regulate country conditions to achieve a high value-added score and select a foreign country for investment that offers a high level of value-added service.

Details

Journal of Services Marketing, vol. 32 no. 3
Type: Research Article
ISSN: 0887-6045

Keywords

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Article
Publication date: 6 August 2020

Naushad Mohamed, Babak Taheri, Anna Farmaki, Hossein Olya and Martin Joseph Gannon

This study aims to investigate the combinations of religiosity, cosmopolitanism and perceived destination image leading to satisfaction and loyalty amongst Muslim…

Abstract

Purpose

This study aims to investigate the combinations of religiosity, cosmopolitanism and perceived destination image leading to satisfaction and loyalty amongst Muslim consumers within the Maldivian tourism and hospitality context.

Design/methodology/approach

Using fuzzy-set qualitative comparative analysis (fsQCA), this study reveals that diverse combinations of religiosity, cosmopolitanism and destination image dimensions stimulate satisfaction and loyalty in Muslim consumers.

Findings

Multiple recipes can be used to design compelling destinations that balance the desire for religiosity and cosmopolitanism characteristic of contemporary Muslim consumers. The results confirm the applicability of complexity theory in explaining Muslim consumer behaviour within the Islamic destination context.

Practical implications

Several implications for the hospitality and tourism industry are drawn from the results, with suggestions for future research provided. Each fsQCA recipe identifies distinct suggestions to shape the design of destination attributes and hospitality offerings to stimulate consumer satisfaction and loyalty.

Originality/value

Complexity theory was applied to assess the complex causal relationships among Muslim consumers’ religiosity, perceived destination image, cosmopolitanism, satisfaction and loyalty.

Details

International Journal of Contemporary Hospitality Management, vol. 32 no. 9
Type: Research Article
ISSN: 0959-6119

Keywords

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Article
Publication date: 25 January 2019

Hossein G.T. Olya, Pourya Bagheri and Mustafa Tümer

This study aims to present a unique perspective on the application of the theory of planned behaviour (TPB) in the context of the green lodging industry via…

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Abstract

Purpose

This study aims to present a unique perspective on the application of the theory of planned behaviour (TPB) in the context of the green lodging industry via configurational modelling of three TPB dimensions in formulating hotel visitors’ behavioural responses. Attitude towards behaviour, subjective norms and perceived behavioural control are the three indicators of TPB used to predict guests’ continued intention to use and recommend green hotels on Cyprus, a Mediterranean island with a fragile ecological system.

Design/methodology/approach

A questionnaire-based survey is used to evaluate the study’s objectives. A total of 320 guests of green hotels were approached between June and July 2017 and invited to participate. Among them, 260 valid cases were obtained and used for data analysis. The structural model was tested using structural equation modelling (SEM), the configurational model was assessed using the fuzzy-set qualitative comparative analysis (fsQCA) and the necessary predictor was evaluated using the necessary condition analysis (NCA).

Findings

The SEM results revealed that attitudes regarding behaviour increased the continued intention to visit and recommend green hotels. Similarly, subjective norms enhanced the guests’ desired behavioural responses. Perceived behavioural control boosted their continued intention to visit, but this was insufficient for predicting green hotel guests’ intention to recommend. The fsQCA results indicated that two causal models explained the conditions of both high and low levels of behavioural responses. The NCA results showed that attitude towards behaviour was the only necessary condition of the two expected behavioural responses.

Originality/value

Several previous studies have tried to modify, decompose or merge the TPB to provide theoretical support for proposed conceptual models indicating visitors’ behaviours. Beyond such attempts, pragmatic analytical approaches (e.g. set-theoretic method) should be applied to present a comprehensive perspective on the association of TPB indicators in decoding the complexity of customers’ behaviours. To the best of the authors’ knowledge, this study is among the first in hospitality research to use three TPB indicators and three analytical approaches to extend the knowledge of guests’ behaviours related to green hotels.

Details

International Journal of Contemporary Hospitality Management, vol. 31 no. 6
Type: Research Article
ISSN: 0959-6119

Keywords

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Article
Publication date: 18 August 2021

Nastaran Hajiheydari, Mohammad Soltani Delgosha, Yichuan Wang and Hossein Olya

Big data analytics (BDA) is recognized as a recent breakthrough technology with potential business impact, however, the roadmap for its successful implementation and the…

Abstract

Purpose

Big data analytics (BDA) is recognized as a recent breakthrough technology with potential business impact, however, the roadmap for its successful implementation and the path to exploiting its essential value remains unclear. This study aims to provide a deeper understanding of the enablers facilitating BDA implementation in the banking and financial service sector from the perspective of interdependencies and interrelations.

Design/methodology/approach

We use an integrated approach that incorporates Delphi study, interpretive structural modelling (ISM) and fuzzy MICMAC methodology to identify the interactions among enablers that determine the success of BDA implementation. Our integrated approach utilizes experts' domain knowledge and gains a novel insight into the underlying causal relations associated with enablers, linguistic evaluation of the mutual impacts among variables and incorporating two innovative ways for visualizing the results.

Findings

Our findings highlight the key role of enabling factors, including technical and skilled workforce, financial support, infrastructure readiness and selecting appropriate big data technologies, that have significant driving impacts on other enablers in a hierarchical model. The results provide reliable, robust and easy to understand insights about the dynamics of BDA implementation in banking and financial service as a whole system while demonstrating potential influences of all interconnected influential factors.

Originality/value

This study explores the key enablers leading to successful BDA implementation in the banking and financial service sector. More importantly, it reveals the interrelationships of factors by calculating driving and dependence degrees. This exploration provides managers with a clear strategic path towards effective BDA implementation.

Details

Industrial Management & Data Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 8 January 2018

Hossein G.T. Olya, Zehra Altinay Gazi, Fahriye Altinay Aksal and Mehmet Altinay

This paper aims to examine the causal models that predict disabled tourists’ behavioral intentions to use peer-to-peer (p2p) accommodations. This study also explores the…

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1428

Abstract

Purpose

This paper aims to examine the causal models that predict disabled tourists’ behavioral intentions to use peer-to-peer (p2p) accommodations. This study also explores the causal models through complex combinations of demographic factors, host attributes and the levels of perceived charm, convenience and other service features of the accommodations as a means of describing disabled tourists’ behavioral outcomes.

Design/methodology/approach

A questionnaire was administrated to measure the study variables. Using the convenience sampling technique, the questionnaires were distributed among disabled individuals with orthopedic disorders who reside in North Cyprus in May 2016. The five respondents were later interviewed about their needs and expectations from p2p accommodations. A set of preliminary tests (for both reliability and validity) was conducted, and descriptive statistics were used based on the scale items. Fuzzy set qualitative comparative analysis (fsQCA) was used to test the proposed research model, which revealed sufficient and consistent conditions leading to behavioral intentions of disabled tourists in their use of p2p accommodations. The predictive validity of the model was then tested. Finally, the results of the fsQCA were evaluated based on the key tenets of complexity theory.

Findings

The findings reveal under which conditions disabled tourists tend to use p2p accommodations. This empirical study has relied upon the use of causal models integrating combinations of demographic variables and host and accommodation place attributes (i.e. charm, convenience and service features) which were put forth as sufficient predictive configurations of the behavioral outcomes of disabled tourists within the context of a sharing economy. Ultimately, this study finds that p2p customers are not limited to travelers with low income levels.

Research limitations/implications

The views of people with orthopedic problems in North Cyprus were obtained for testing the configurational model, which means that the results do not necessarily represent a large range of customers’ perspectives. Although this limitation was addressed through the application of a powerful compensatory analytical approach (fsQCA), it is advised that data from tourists with various types of disabilities in other countries be collected for future studies.

Practical implications

The results of this study provide practical implications for hosts on how to combine accommodation place characteristics (e.g. charm, convenience and service) with their own personal attributes (e.g. knowledge and eagerness) to bolster the disabled tourists’ intentions to use p2p accommodations. It is hoped that the results of the fsQCA using the demographic variables presented here will guide businesses toward performing target marketing. This is useful for hosts who wish to attract more disabled tourists, a profitable segment of the market.

Social implications

This study draws social attention to the disabled tourists as potential customers in the sharing economy. Conducting an empirical study that considers the social inclusion of tourists with disabilities in the emerging version of hospitality business is helpful to both the supply and demand sides.

Originality/value

To the best knowledge of the authors, this is the first empirical study that investigates the indicators of disabled tourists’ intentions to use p2p accommodations. This study also adds to the current literature by modeling the behavioral intentions of disabled tourists within a sharing economy using a pragmatic and set-theoretic approach (i.e. fsQCA in conjunction with complexity theory).

Details

International Journal of Contemporary Hospitality Management, vol. 30 no. 1
Type: Research Article
ISSN: 0959-6119

Keywords

Content available
Article
Publication date: 16 June 2020

Hossein Olya, Mathilda Van Niekerk, Babak Taheri and Martin Joseph Gannon

Abstract

Details

International Journal of Contemporary Hospitality Management, vol. 32 no. 4
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 19 July 2019

Kuo Feng, Levent Altinay and Hossein Olya

This empirical study aims to investigate the influence of socially supportive services provided by commercial senior living services on older customers’ social well-being…

Abstract

Purpose

This empirical study aims to investigate the influence of socially supportive services provided by commercial senior living services on older customers’ social well-being. This study seeks to test the moderating role of social connectedness on the above associations. It explores necessary conditions and causal recipes from the combination of interactions and social connectedness to predict customers’ social well-being.

Design/methodology/approach

Data were collected from 190 older customers residing in commercial senior living services in Beijing, Shanghai and Shenyang in China. The proposed structural and configurational models were tested using structural equation modelling and fuzzy-set qualitative comparative analysis (fsQCA).

Findings

The results of the model testing illustrate that peers have no influence on the social well-being of older customers. However, positive interactions with employees and outsiders are supportive resources that increase older customers’ social well-being. Social connectedness moderates the relationship between interaction with peers and the social well-being of customers. fsQCA results revealed that complex combinations of interactions and social connectedness predict social well-being. Interactions with employees, peers and outsiders appeared as necessary conditions to achieve social well-being.

Originality/value

This study provides evidence for how commercial senior living services can serve as a space to exchange socially supportive resources with employees and outsiders, which enhance older customers’ social well-being.

Content available
Article
Publication date: 14 January 2019

S. Mostafa Rasoolimanesh and Faizan Ali

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1817

Abstract

Details

Journal of Hospitality and Tourism Technology, vol. 9 no. 3
Type: Research Article
ISSN: 1757-9880

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