Hossein G.T. Olya

Configurational Models to Predict Residents’ Support for Tourism Development

This empirical study developed and tested configural models for predicting residents’ support for tourism development (RSTD). The main contributions of this study are to propose a new analytical method for modeling the complex interactions of RSTD indicators, advancing the necessary theory to support both the ordinary and heterogonous relationships of RSTD and its antecedents, providing managerial guidelines for both promoting RSTD and controlling the negation of RSTD, and modeling RSTD in Hawraman, Iran, a location in which little information is available about host communities. We administered a survey to collect the views of 202 residents with varying demographic characteristics. To ascertain the occurrences of contrarian cases, cross-tabulation tests were performed, and their results helped to identify the functionality of fuzzy set Qualitative Comparative Analysis (fsQCA) and complexity theory for asymmetrical modeling of RSTD. The predictive validity of causal recipes was also checked. The results from the fsQCA revealed that conditions with a higher level of community attachment, community involvement, knowledge of tourism, power to influence tourism, perceived personal benefit, positive tourism impacts, and satisfaction with quality of life led to a higher RSTD score. The results also indicated that trust in government and tourism negative impacts both positively and negatively, depending on the attributes of other antecedents in the causal recipe, function as determinants of RSTD. This study presents deeper insights into the tourism literature by exploring conditions that indicate high/low RSTD scores, which are useable for modeling other complex tourism issues.

Sustainable planning model toward reviving Lake Urmia

Lake Urmia (Urumieh in Persian) in north-western Iran is one of the largest permanent hyper-saline lakes in the world and the largest lake in the Middle East. It has numerous ecological, economic and social implications in terms of biodiversity, climate, species, habitat, tourism and recreation. However, during the past decade, the lake has shrunk significantly and its depth has fallen by almost 6 m. Contrary to other studies that have focused on the geomorphology of the lake, this study analyses the socio-environmental impact and provides a sustainable adaptive governance management model for its revival. This study reveals that unless various stakeholders and affected parties are actively involved in an implementable adaptive governance model, the fate of the lake will remain uncertain.

Effects of individual resources and team-member exchange on service quality

ABSTRACT While workplace resources are generally viewed as positively affecting performance, some studies indicate that not all resources increase performance. This study addresses the controversial disparate effects of workplace resources on performance by exploring functionally classified workplace resources in self-managing service teams and their relative impacts on team service quality. Considering membership dynamics and consequences between members, a field experiment was conducted in a cafeteria, with data collected through a working diary for workplace resources and a customer survey to evaluate service quality. Results suggest that efficacy-resources in self-managing teams should be controlled with caution as they may adversely affect team service quality. Supporting the person–situation interactionism perspective, workplace resources interact dynamically with individual employees and with situations. Esteem-resources were found to increase team service quality, while team-member exchange not only improved team service quality but also moderated the impact of esteem-resources on team service quality.

Behavioral intentions of disabled tourists for the use of peer-to-peer accommodations

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).

An Exploratory Study of Value Added Services

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.,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.,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.,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.

Pro-tourism and anti-tourism community groups at a world heritage site in Turkey

This empirical study deepens our understating of support for sustainable tourism development (SSTD) from the perspectives of various community groups in Pamukkale, a world natural and cultural heritage inscribed on the UNESCO list. A quota sampling technique was used to survey the views of three communities: business, farmers, and the government. Occurrences of contrarian cases were checking using cross-tabulation analyses. Complexity theory and fuzzy-set qualitative comparative analysis (fsQCA), as an innovative approach, were applied to develop and test a configurational model for predicting both high and low SSTD scores for three community groups. The fsQCA results revealed that causal recipes for achieving pro-tourism behaviour are not simply mirror opposites of the conditions leading to anti-tourism behaviour. The complex configurational models indicating high/low SSTD were unique to each community group, indicating that a specified strategy must be developed for community-based tourism management. The evidence-of-fit validity of the measurement model and the predictive validity of the configurational model were provided. Support for the fsQCA results in the key tenets of complexity theory confirms that this theory explained the heterogeneity and complex interactions of SSTD antecedents well. The study outcomes provide a guideline for managing conditions to both increase SSTD and hinder SSTD negation for various community groups. The limitations and implications for further research are discussed.

Understanding museum vacationers' eco-friendly decision-making process: strengthening the VBN framework

ABSTRACT In the present research, the process of vacationers’ pro-environmental decision formation for environmentally responsible museums was examined. This research employed and broadened the value-belief-norm theory, using satisfaction with green product use, green trust, and frequency of past behavior for green product use as predictors. A structural equation modeling was utilized for modeling comparisons and hypothesis testing. A measurement model tested using the data gathered at museums was found to satisfactorily fit to the data. Newly integrated constructs significantly improved the prediction power of the theory. In addition, results of the structural equation modeling generally supported the proposed relationships. Moreover, a salient role of moral norm was identified. As expected, new environmental paradigm, awareness of consequences, ascribed responsibility, and moral norm played an important mediating role. A parsimonious model with greater prediction power than the original value-belief-norm theory was produced through modeling comparisons and the process of testing relationships among research variables. Our results offer a sufficient understanding of vacationers’ pro-environmental intention for eco-friendly museums.

Tackling the Complexity of the Pro-environmental Behavior Intentions of Visitors to Turtle Sites:

This empirical study improved our understanding of how to simulate visitors’ pro-environmental behavior intentions (PEBIs) during interpretive marine turtle tours in Cyprus. Complexity theory was applied as a sufficient theoretical basis of the proposed configurational model that was tested using fuzzy set Qualitative Comparative Analysis (fsQCA) as an innovative set theoretic approach. Four configurations—demographics, values, beliefs, and norms and attitudes—were used to explore causal recipes leading to both high and low PEBI scores. The findings highlighted the heterogeneity issue in predicting PEBIs, addressed by determining the positive or negative role of PEBI indicators along with attributes of other indicators in causal recipes. The fsQCA results of four configurations suggested 12 recipes for attaining high PEBI scores. Further insight was obtained via configurational modeling of visitors’ PEBIs during endangered species tours, which contributed to the current knowledge of tourism management in protected areas. Implications for practice and further research are discussed.

Progress on outbound tourism expenditure research: A review

ABSTRACT This study aims to identify how the paradigm of outbound tourism expenditure (OTE) research transforms from economic to social concern. It also explicates the evolution of OTE from an advocacy platform to a sustainability platform. This study adopts a hybrid of narrative and systematic reviews to study OTE as a complex social phenomenon. This hybrid review is complemented by a thematic review and semantic network analysis on gaps and future directions of relevant studies. The results reveal that the paradigm of OTE research is directed from economic toward social thinking. This study proposes an application of socially related antecedent configurations, social theories, pragmatic methods, and various scales of study contexts as promising solutions to address the complexity and heterogeneity of OTE. The study concludes that the conceptual structure of OTE is premised on a sustainability platform, which is influenced by socio-cultural, environmental, economic, and political issues. This study provides a road map that enlightens the current state of OTE, prevailing topics, and pathways for further research.

A call for weather condition revaluation in mega-events management

This article provides a new insight into knowledge-based management of mega-events by highlighting the significance of weather at destination selection and scheduling events as an adaptive strategy toward climate change. Concerning the environmental and socio-economic costs of weather ignorance in event management, which may result in cancelation and change of the event time, it is recommended that planners perform a preliminary study prior to publicizing an event plan. Doing so, the organizer and visitors can benefit from optimal weather at the destination, as this study advises the decision-makers of the Tokyo 2020 Olympic and Paralympic Games to reschedule the dates of this international event.