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 causal…
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).
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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 configurational…
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.
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Punit Moris Ekka and Shikha Bhardwaj
This review paper is based on secondary research of published literature on customer’s satisfaction in halal tourism to investigate, analyze and summarize what is already known…
Abstract
Purpose
This review paper is based on secondary research of published literature on customer’s satisfaction in halal tourism to investigate, analyze and summarize what is already known about this current topic and to provide future directions about what could be known in the future.
Design/methodology/approach
This qualitative study follows a systematic approach, using the PRISMA protocol. Online databases, namely, Scopus, Web of Science and Google Scholar, were used for the data extraction. The data under investigation include articles published till July 2023.
Findings
However, an academic exploration of the burgeoning customer’s satisfaction with halal tourism is just getting started. It is an interesting subset of the tourism industry with potential. Recent studies have shed light on the importance of customers’ satisfaction in halal tourism by highlighting its most important aspects, as well as the most prominent theories, published authors, journals and research gaps. Toward the end of this study, suggestions for future research are made along these lines.
Originality/value
This study examines the conceptual evolution, potential and fruitful application of customers’ satisfaction in halal tourism in the postpandemic world. This study provides intriguing contextual data and insightful knowledge presented in a new context. This study discusses a comprehensive investigation and includes both academic and managerial consequences.
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Imran Ali, Murad Ali and Saeed Badghish
Unlike previous studies that examine the role of different entrepreneurial ecosystem factors in predicting entrepreneurial intentions. The purpose of this study is to explain the…
Abstract
Purpose
Unlike previous studies that examine the role of different entrepreneurial ecosystem factors in predicting entrepreneurial intentions. The purpose of this study is to explain the direct effects of entrepreneurial ecosystem factors effecting entrepreneurial intentions and configurational combinations of entrepreneurial ecosystem factors that cause high or low entrepreneurial intentions among female university students in Saudi Arabia.
Design/methodology/approach
The study used structured survey-questionnaire based data collected from 310 female students enrolled in different universities in Saudi Arabia. The study used symmetric analysis using structural equation modeling technique, whereas asymmetric analysis is performed using the fuzzy-set qualitative comparative analysis, necessary condition analysis is also used to identify the role of different entrepreneurial ecosystem factors in increasing and/or decreasing entrepreneurial intentions among young Saudi women.
Findings
The results of symmetrical analysis show that access to finance, access to physical infrastructure, and cultural factors are not significantly associated with entrepreneurial intentions, whereas government policies and regulations, government programs and support, social factors and entrepreneurship education and training are significantly associated with the development of entrepreneurial intentions among female Saudi university students. While the result of asymmetrical analysis provides 15 configurational models that explains the high levels of certain factors to predict entrepreneurial intentions among female university students in Saudi Arabia. Specifically, social support is found as necessary condition in majority of models to predict high levels of entrepreneurial intentions among female Saudi university students.
Practical implications
The results of the study provide empirical evidence to policymakers in Saudi Arabia. The study proposes that it is not mandatory that the high levels of all entrepreneurial ecosystem factors are important to predict high entrepreneurial intentions, rather in some conditions the low levels of certain factors are obligatory to predict high levels of entrepreneurial intentions.
Originality/value
Two-step mix-method approach is used in this study containing analysis of symmetric within entrepreneurial ecosystem increase or decrease entrepreneurial intentions among female university students in Saudi Arabia. There has been plenty of research that examines the role of entrepreneurial ecosystem factors in development of university students’ entrepreneurial intentions, however there is less research evident in the entrepreneurship literature that examine the configurational effects of factors within entrepreneurial ecosystem in increasing and/or decreasing entrepreneurial intentions among female university students.
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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 augmented…
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.
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V.G. Girish, Jin-Young Lee, Choong-Ki Lee and Hossein Olya
This paper aims to understand the impact of smart working on employees’ quality of life. The service-dominant logic indicates that key actors, including employees, are resource…
Abstract
Purpose
This paper aims to understand the impact of smart working on employees’ quality of life. The service-dominant logic indicates that key actors, including employees, are resource integrators. This empirical study contributes to the current knowledge of transformative service by expounding on smart working practices and their relationship with self-efficacy and, ultimately, quality of life of employees.
Design/methodology/approach
This study contends that smart working enhances employees’ self-efficacy. The current research uses conservation of resources (COR) theory as a basis in hypothesizing that self-efficacy serves as a key resource, which can stimulate workplace creativity, job satisfaction and quality of life. An onsite survey is conducted among employees who have been involved in smart working in the travel agency context.
Findings
Smart working has a positive effect on self-efficacy, which positively influences workplace creativity, job satisfaction and quality of life. Workplace creativity enhances job satisfaction but does not influence quality of life. Job satisfaction boosts quality of life, which is important to tourism services and their employees amid various crises.
Research limitations/implications
Consistent with COR theory, the immediate recommendation to managers is to invest in smart working, which can lead to employees’ creativity, job satisfaction and quality of life.
Originality/value
To the best of the authors’ knowledge, this empirical study is the first to assess the viability of smart working in the travel agency context. Smart working offers positive outcomes, such as convenience for employees to work independently, improving workplace creativity, job satisfaction and quality of life. Travel agencies are mainly categorized as small and medium enterprises (SMEs). In the future, SMEs may also introduce smart working that can eventually become their competitive advantage to retain talented employees.
旅行社中的智慧办公与员工的生活质量
目的
本文旨在了解智慧办公对员工的影响.服务主导逻辑表明, 员工等关键人物是资源整合者。本文通过实证研究揭示了智慧办公实践及其与员工自我效能和生活质量的关系, 对现有转型服务知识做出贡献。
设计/方法/路径
本研究认为智慧办公可以提高员工的自我效能。基于资源守恒理论(COR), 本研究假设自我效能是激发职场创造力、工作满意度和生活质量的关键因素, 对旅行社中参与智慧办公的员工进行了现场调查。
结果
智慧办公对自我效能有正向影响, 同时自我效能对职场创造力、工作满意度和生活质量均产生正向影响。职场创造力能够提高工作满意度, 但对员工的生活质量不起作用。另外, 工作满意度有利于提升生活质量, 这对面临各种危机的旅游企业和员工具有重要意义。
启示
根据COR理论, 即刻建议管理者投资推行智慧办公, 从而提升员工的创造力, 工作满意度和生活质量。
原创性/价值
这一实证研究首次尝试评估旅行社中推行智慧办公的可行性。智慧办公可带来多种积极效果, 如为员工独立工作提供便利, 提升员工的职场创造力、工作满意度和生活质量等。旅行社属于中小型企业(SMEs)。未来, 中小型企业同样可尝试引入智慧办公, 这将成为其留住优秀员工的竞争优势。
关键词:智慧办公, 公平评估, 自我效能, 创造力, 自主, 生活质量
文章类型: 研究型论文
El trabajo inteligente en las agencias de viajes y la calidad de vida de los empleados
Resumen
Propósito
Este artículo tiene como objetivo entender el impacto del trabajo inteligente en la calidad de vida de los empleados. Basándose en la lógica de servicio dominante, los actores clave, incluidos los empleados, son integradores de recursos. Este estudio empírico contribuye al conocimiento actual de lo que constituye un servicio transformador al exponer prácticas laborales inteligentes y su relación con la autoeficacia y, en última instancia, la calidad de vida de los empleados.
Diseño/Metodología/Enfoque
Este estudio sostiene que el trabajo inteligente mejora la autoeficacia de los empleados. Plantea la hipótesis de que la autoeficacia sirve como un recurso clave que puede estimular la creatividad en el lugar de trabajo, la satisfacción laboral y la calidad de vida utilizando la teoría de la conservación de recursos. Se ha realizado una encuesta in situ entre los empleados que han llevado a cabo trabajo inteligente en el contexto de la agencia de viajes.
Resultados
El trabajo inteligente tiene un efecto positivo en la autoeficacia que influye positivamente en la creatividad en el lugar de trabajo, la satisfacción laboral y la calidad de vida. La creatividad en el lugar de trabajo mejora la satisfacción laboral, pero no influye en la calidad de vida. La satisfacción laboral mejora la calidad de vida, lo que es importante tanto para los servicios turísticos como para sus empleados durante las crisis.
Implicaciones
De acuerdo con la teoría de la conservación de recursos, la recomendación inmediata a los gerentes es invertir en un trabajo inteligente que pueda conducir a la creatividad, la satisfacción laboral y la calidad de vida de los empleados.
Originalidad/Valor
Este estudio empírico es el primero del que tengamos constancia en evaluar la viabilidad del trabajo inteligente en el contexto de la agencia de viajes. El trabajo inteligente ofrece beneficios, como la posibilidad de que los empleados trabajen de forma independiente, mejorando así la creatividad profesional, la satisfacción laboral y la calidad de vida. Las agencias de viajes se incluyen principalmente en la categoría de pequeñas y medianas empresas (pymes). En el futuro, las pymes también pueden introducir el trabajo inteligente, que puede llegar a convertirse en su ventaja competitiva para retener a los empleados con talento.
Palabras clave
Trabajo inteligente, Equidad en las valoraciones, Autoeficacia, Creatividad, Autonomía, Calidad de vida
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Amr Al-Ansi, Hossein Olya, Sara Dalir, Hee Yul Lee and Alina Abdul Rahim
The contribution of this study is two-fold. First, we draw on attribution theory to develop a model for predicting how the knowledge, emotions, and satisfaction that consumers…
Abstract
Purpose
The contribution of this study is two-fold. First, we draw on attribution theory to develop a model for predicting how the knowledge, emotions, and satisfaction that consumers have regarding halal cosmetics can influence their willingness to pay more and recommend the products to others.
Design/methodology/approach
Survey data from 278 Indonesian and 163 Malaysian female consumers were analyzed by means of structural equation modeling. Second, we test the moderation role of sign value using metric invariance across the two different source markets.
Findings
The results obtained confirm that consumers exhibit positive emotions when they possess knowledge about halal cosmetics and their quality. Testing the double moderation further reveals that consumers with a high sign value behave differently from those with a low sign value.
Originality/value
These findings present practical insights that can be used by retailers and marketers in their strategies to boost the sale of halal cosmetics.
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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 (fsQCA) to…
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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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 prosperity…
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.
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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 path to…
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.