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1 – 10 of 501Şükrü Fırat Çiftçi and Beykan Çizel
The main purpose of this study is to investigate the factors affecting e-trust perception of tourists using Web-based travel intermediaries (WBTIs). Cognitive and affective…
Abstract
Purpose
The main purpose of this study is to investigate the factors affecting e-trust perception of tourists using Web-based travel intermediaries (WBTIs). Cognitive and affective attitude components are believed to be important in assessing the e-trust perception of tourists. However, this paper aims to investigate if self-efficacy would be an important predictor for e-trust in the context of WBTIs.
Design/methodology/approach
The quantitative research method is used in this study. Data were collected by the survey method from the tourists who visited Istanbul/Turkey and made their bookings via Web-based travel intermediaries. Hierarchical linear regression analysis is used to investigate to which extent age/gender/years of usage, self-efficacy, cognitive and affective components are affecting tourists’ e-trust perception.
Findings
According to the study results, self-efficacy, the attitude components, in addition to the demographic variables, predict a significant amount of variance (45%) in e-trust for Web-based travel intermediaries. Besides attitude components, self-efficacy is put forward as significantly important in the perception of e-trust.
Originality/value
The novelty of the current study is that it uses hierarchical regression to test if self-efficacy would be an important predictor for e-trust while examining the effect of various predictive variables in sequential order. Therefore, the relative importance of this e-trust predictor can be evaluated based on how much it contributes to the prediction over and above other important antecedents of e-trust according to the literature. This study provides evidence that the social cognitive theory may be useful in understanding e-trust in online tourist behavior.
论网络旅游中介的网络信任的原因:调研伊斯坦布尔游客
研究目的
本论文旨在调研影响网络旅游中介(WBTIs)的游客网络信任的各项因子。认知与态度因素是形成游客的网络信任的重要方面。然而, 本论文旨在研究是否自我效能感对于WBTIs的网络信任构成重要的影响因子。
研究设计/方法/途径
本论文采用定量分析法。数据采用问卷形式采集, 样本人群为伊斯坦布尔/土耳其的游客, 他们通过网络旅游中介订购他们的旅程。本论文采用层次回归分析法来检测年龄/性别/使用年份, 自我效能感, 认知与态度因子, 在何种程度上影响旅游的网络信任感知。
研究结果
研究结果表明, 自我效能感, 态度成分, 以及人口统计变量, 解释了WBTIs网络信任的45%变量方差。除了态度因子, 系我效能对于网络信任起到显著的促进作用。
研究原创性/价值
本论文的特别之处在于其使用了层次回归分析法检测了是否自我效能感对于影响网络信任, 同时又检验了各种预测变量作用的大小层次。因此, 每个信任预测因子的作用大小可以根据其对预测方差的大小比较来判断。本论文提出社会认知理论对理解在线旅游行为的网络信任有着显著帮助。
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In the hotel industry today, web site marketing and third party distribution metrics are of critical importance in understanding the effectiveness of hotel revenue management…
Abstract
Purpose
In the hotel industry today, web site marketing and third party distribution metrics are of critical importance in understanding the effectiveness of hotel revenue management objectives. The purpose of this paper is to propose a new model which tests hotel web‐effectiveness using the following variables: reach, content, consistency and price parity (RCO2P).
Design/methodology/approach
For the current RCO2P study, the hotel sample was broken down into two segment groupings of five hotels: luxury; and upper‐upscale. The ten full‐service hotels were monitored over a 90‐day period using room rate quotations and ordinal values across 14 dimensions based on three pre‐selected arrival dates.
Findings
Results of the RCO2P study indicated preferential display sequencing emerged as a significant factor in the reach category among all hotel properties reviewed. Only six of ten properties were measured as having achieved optimal web‐effectiveness, while poor price‐parity competency reflected the most situation‐critical performance among sampled hotel properties.
Originality/value
International comparative research methodologies were examined and determined to be effective models of certain hotel web‐effectiveness dimensions; however, a comprehensive hotel web‐effectiveness measurement model is still lacking which can better inform hotel industry executives. Therefore, future research should incorporate a best practice research approach combining the current RCO2P study elements with other web‐effectiveness measurement criteria based on the collective best practices identified among the research studies reviewed.
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David H. Brown and Laddawan Kaewkitipong
The research documented in this paper aims to explore e‐business uses in small and medium‐sized tourism enterprises compared with their larger counterparts.
Abstract
Purpose
The research documented in this paper aims to explore e‐business uses in small and medium‐sized tourism enterprises compared with their larger counterparts.
Design/methodology/approach
Five case studies were conducted with Thai tourism SMEs to investigate their technology adoption and use experiences. For large‐sized enterprises, an extensive review of industry's practice was conducted. A comparison was then carried out based on the scope of the technology, namely inter‐organisation, intra‐organisation, and front‐end side linking to customers.
Findings
In terms of e‐business use, it is not surprising that Thai SMEs remain less advanced in utilising e‐business technology. However, size is found to be a significant factor in determining SME behaviour not only in comparison to larger travel agencies or hotels, but also with the SME sector itself. Associated with this is application complexity that is again significant and linked to relative size. Finally, the choices made by small hotels and travel agents are shown to be influenced by the technology providers.
Research limitations/implications
The main research limitation is a limited generalisibility. Future research on SMEs in developing countries would make the comparison more sound and increase generalisability.
Practical implications
SMEs should pay more attention on strategic use of IT in order to compete with their larger competitors. At the policy level, more education on IT development skills and business potentials of IT are needed.
Originality/value
The paper adds to the literature on IT adoption in SMEs particularly with respect to size within the SME sector, the importance of complexity and the role of technology provider.
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The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is…
Abstract
The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.
The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.
In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.
The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.
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Pongsak Hoontrakul and Sunil Sahadev
To describe the process of customer segmentation by data mining and expert judgment in a real‐world setting.
Abstract
Purpose
To describe the process of customer segmentation by data mining and expert judgment in a real‐world setting.
Design/methodology/approach
Data collected in four case studies of on‐line enquiries via one web‐based intermediary and customer profiling were used as the input to K‐means clustering calculations relating to four tourist destinations in Thailand, two already familiar internationally and two less so.
Findings
The case study illustrates the use of data mining techniques to unravel the basic pattern of customer enquiries across various attributes, as an input to actionable strategies.
Research limitations/implications
The methodology limits inferences to the single organization studied across the four destinations.
Practical implications
The findings suggest a practical planning strategy for customer segmentation in similar on‐line situations. The methodology incorporates both qualitative and quantitative phases, and can be easily be applied in practice.
Originality/value
The paper, focusing on Thailand, presents an application of data mining techniques in the on‐line travel industry.
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Rajiv Kumar Dwivedi, Manoj Pandey, Anil Vashisht, Devendra Kumar Pandey and Dharmendra Kumar
The study aims to investigate the consumers' behavioral intention toward green hotels. The tendency of individuals to afford green hotels is further escalating with progressing…
Abstract
Purpose
The study aims to investigate the consumers' behavioral intention toward green hotels. The tendency of individuals to afford green hotels is further escalating with progressing coronavirus disease-2019 (COVID-19) pandemic recurring waves. The increased worry of consumers toward health, hygiene and the climate is acquiring momentum and transforming how consumers traditionally perceive green hotels.
Design/methodology/approach
The study has recommended an integrated framework incorporating various research fields as attitude-behavior-context theory, theory of planned behavior (TPB) and moderating influences to study the associations among the antecedents of consumers' behavioral intention toward green hotels. The study comprised the participation of 536 respondents residing in the Delhi and National Capital Region (NCR) of India. The data analysis strategy involved the use of structural equation modeling (SEM) analysis to test the proposed research framework.
Findings
The results and findings of the study indicated a significant influence of fear and uncertainty of the COVID-19 pandemic and environmental concern on green trust. The results also revealed the considerable impact of green trust on willingness to pay premium, attitude and subjective norms, which significantly influenced behavioral intention. The analysis also revealed the moderating influence of environmental concern in the relationship of green trust and behavioral intention.
Research limitations/implications
The study has recommended significant theoretical. The theorists may use this research framework to analyze better the transforming consumer behavior trends toward green hotels in the ongoing fearful and uncertain COVID-19 pandemic scenario.
Practical implications
The study has recommended significant managerial implications. The industry practitioners may also utilize the framework to sustain the hotel business and bring new strategic insights into practice to combat the impact of the pandemic and simultaneously win consumers' trust in green hotels.
Originality/value
Although the researchers have previously emphasized consumers' intention toward green practices embraced by hotels, the impact of the COVID-19 pandemic on the green hotel industry gained noticeable attention from researchers. Furthermore, there is a scarcity of literature providing insights on the behavioral dynamism of hotel customers' trust, attitude and willingness to pay for green hotels during the repetitive waves of the COVID-19 pandemic. The study will support the existing literature gap by enlightening the associations among the various antecedents of green hotels' behavioral intention, COVID-19 and environmental concern.
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Mohammad Nabil Almunawar, Heru Susanto and Muhammad Anshari
The emergence of innovative internet-based reservation systems (iReservation systems) is threatening the sustainability of retail travel agencies (TAs) in Brunei Darussalam. With…
Abstract
Purpose
The emergence of innovative internet-based reservation systems (iReservation systems) is threatening the sustainability of retail travel agencies (TAs) in Brunei Darussalam. With the friendliness and convenience offered by iReservation systems, many customers nowadays prefer to book their tickets and accommodations online. The purpose of this paper is to assess the impact of iReservation systems on TAs in Brunei Darussalam. In other words, the authors are interested to find out how TAs and customers react to iReservation systems.
Design/methodology/approach
To fulfil this objective, surveys were conducted on both the responses from TAs and their customers regarding iReservation systems in Brunei Darussalam.
Findings
Most individual customers prefer to book their tickets and accommodations through iReservation systems. However, government and corporate customers still prefer to book tickets and accommodation by TAs. Most TAs are affected by iReservation systems either negatively or positively, depending on how TAs respond with their sustaining strategies such as segmentation, targeting and positioning in the market.
Originality/value
It is clear that without proper strategies in facing turbulent changes in the tourism industry, eventually traditional TAs will be disintermediated.
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Zuzana Kvítková and Zdenka Petrů
Online reputation management (ORM) plays a significant role in the tourism industry. Tourists are more and more interested to express their opinions about their…
Abstract
Online reputation management (ORM) plays a significant role in the tourism industry. Tourists are more and more interested to express their opinions about their experiences/satisfaction not only with their friends but also on social media. ORM is largely used not only by tourist destinations but also by other companies operating in the tourism industry. This chapter aims to draw attention to the importance of intermediaries in tourism, their reputation in general, and especially their ORM and its specifics. This contribution also characterizes different types of intermediaries and their different roles in the distribution process of tourism services. These roles are important and can be even more significant in the “new normal” post-COVID-19 time. In the scientific literature and research, there is not much attention given to intermediaries as a whole and even less to their ORM and its specific solutions. But practical contributions can be found. Due to the specific activities and roles of different types of intermediaries, also their reputation is influenced not only by tourists but also by their suppliers. Their ORM has also some specifics and needs specific solutions. Their reputation is depending not only on customers' satisfaction with their own services but also on the reputation of tourism service providers, whose services they offer and mediate either individually or in the form of their own product, e.g., package tours. Specific attention in this chapter is given to intermediaries such as OTAs (Online Travel Agencies/Agents) and tour operators. At some time, these two types of intermediaries help to increase the reputation of tourism services providers, e.g., hotels. The chapter describes the situation in the field of intermediaries with a conceptual model, their ORM, and summarizes its specifics.
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In this paper, the relation between the constructs operational complexity, Web‐based orientation of the company and the company’s distribution structure used for the fulfilment of…
Abstract
In this paper, the relation between the constructs operational complexity, Web‐based orientation of the company and the company’s distribution structure used for the fulfilment of Internet customer orders is investigated in the food home shopping branch. A model is proposed with relations between these constructs, which is researched through a survey among food e‐tailers. A positive association between operational complexity and the distribution structure used could be established, meaning that more complex operations (with a full‐line assortment and a large number of orders) tend to have special (Internet orders only) distribution centres for the fulfilment of Internet customer orders. Companies with a store infrastructure tend to keep using this existing infrastructure (unless the number of orders becomes large) and new Internet‐only companies tend to use special Internet‐orders only warehouses, unless the number of orders is small, in which case co‐operation with existing stores is preferred.
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