Antecedents of tourists’ solo travel intentions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Constanza Bianchi
Keyword(s):  
Travel Behavior ◽  
Structural Equation ◽  
Online Survey ◽  
Explanatory Power ◽  
Equation Modeling ◽  
Future Research ◽  
Extended Model ◽  
Actual Behavior ◽  
Content Type ◽  
Longitudinal Methods

Purpose This study aims to empirically investigate the antecedents of tourists’ intentions to continue solo traveling. Design/methodology/approach Drawing on the theory of planned behavior (TPB), an extended model on solo travel intentions is developed that incorporates variables related to past solo travel experiences, namely, tourist satisfaction, pleasure and self-development. An online survey was applied to 187 solo tourists from different countries. Hypotheses were tested with structural equation modeling. Findings All the variables, except for subjective norms, are significant predictors of tourists’ intentions to continue solo traveling. Results confirm a good explanatory power of the extended TPB model. Research limitations/implications Caution must be exercised with the results as tourists’ actual solo travel behavior may differ from their intentions. Future research may investigate tourists’ actual behavior by using longitudinal methods and include additional demographic variables as antecedents. Originality/value This study empirically investigated the antecedents of tourists’ intentions to continue solo traveling – an under-researched topic. Previous research is mostly exploratory and largely focuses on female solo travelers.

scholarly journals Brand love and positive word of mouth: the moderating effects of experience and price

2016 ◽  
Vol 25 (6) ◽  
pp. 527-537 ◽  
Author(s):  
Heikki Karjaluoto ◽  
Juha Munnukka ◽  
Katrine Kiuru
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Word Of Mouth ◽  
Equation Modeling ◽  
Extended Model ◽  
Moderating Effects ◽  
Brand Love ◽  
Content Type ◽  
Positive Word Of Mouth ◽  
The Relationship

Purpose This study aims to test and extend Carroll and Ahuvia’s (2006) model on the antecedents and outcomes of brand love by examining the moderating effects of experience and price on the relationship between brand love and offline word of mouth (WOM) and between brand love and electronic WOM (eWOM). Design/methodology/approach An online survey was conducted on Facebook, which generated 342 valid responses. The data were analyzed using partial least squares-structural equation modeling. Findings The results mainly support the model by confirming that the self-expressiveness of the brand and trust are positively associated with brand love. No association between hedonic product type and brand love was found. The study’s findings also suggest positive associations between brand love and both types of WOM. Experience and price were found to strengthen the relationship between brand love and offline WOM but not the relationship between brand love and eWOM. Originality/value This study contributes to the literature by introducing and testing an extended model of brand love. It tests two moderating effects on the relationship between brand love and WOM.

Predictive model assessment in PLS-SEM: guidelines for using PLSpredict

2019 ◽  
Vol 53 (11) ◽  
pp. 2322-2347 ◽  
Author(s):  
Galit Shmueli ◽  
Marko Sarstedt ◽  
Joseph F. Hair ◽  
Jun-Hwa Cheah ◽  
Hiram Ting ◽  
...  
Keyword(s):  
Model Evaluation ◽  
Structural Equation ◽  
Predictive Power ◽  
Explanatory Power ◽  
Equation Modeling ◽  
Future Research ◽  
Model Assessment ◽  
Content Type ◽  
Path Models ◽  
Sem Analyses

Purpose Partial least squares (PLS) has been introduced as a “causal-predictive” approach to structural equation modeling (SEM), designed to overcome the apparent dichotomy between explanation and prediction. However, while researchers using PLS-SEM routinely stress the predictive nature of their analyses, model evaluation assessment relies exclusively on metrics designed to assess the path model’s explanatory power. Recent research has proposed PLSpredict, a holdout sample-based procedure that generates case-level predictions on an item or a construct level. This paper offers guidelines for applying PLSpredict and explains the key choices researchers need to make using the procedure. Design/methodology/approach The authors discuss the need for prediction-oriented model evaluations in PLS-SEM and conceptually explain and further advance the PLSpredict method. In addition, they illustrate the PLSpredict procedure’s use with a tourism marketing model and provide recommendations on how the results should be interpreted. While the focus of the paper is on the PLSpredict procedure, the overarching aim is to encourage the routine prediction-oriented assessment in PLS-SEM analyses. Findings The paper advances PLSpredict and offers guidance on how to use this prediction-oriented model evaluation approach. Researchers should routinely consider the assessment of the predictive power of their PLS path models. PLSpredict is a useful and straightforward approach to evaluate the out-of-sample predictive capabilities of PLS path models that researchers can apply in their studies. Research limitations/implications Future research should seek to extend PLSpredict’s capabilities, for example, by developing more benchmarks for comparing PLS-SEM results and empirically contrasting the earliest antecedent and the direct antecedent approaches to predictive power assessment. Practical implications This paper offers clear guidelines for using PLSpredict, which researchers and practitioners should routinely apply as part of their PLS-SEM analyses. Originality/value This research substantiates the use of PLSpredict. It provides marketing researchers and practitioners with the knowledge they need to properly assess, report and interpret PLS-SEM results. Thereby, this research contributes to safeguarding the rigor of marketing studies using PLS-SEM.

scholarly journals How to keep teachers healthy and growing: the influence of job demands and resources

2017 ◽  
Vol 41 (8) ◽  
pp. 670-686 ◽  
Author(s):  
Arnoud T. Evers ◽  
Bogdan Yamkovenko ◽  
Daniël Van Amersfoort
Keyword(s):  
Vocational Education ◽  
Structural Equation ◽  
Explanatory Power ◽  
Job Demands ◽  
Interaction Effects ◽  
Ordinary Least Squares ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Job Demands And Resources

Purpose Education depends on high-quality teachers who are committed to professional development and do not get burned out. The purpose of this paper was to investigate how job demands and resources can affect the health and cognitive development of teachers using the Demand-Induced Strain Compensation model. Design/methodology/approach A cross-sectional sample of 120 teachers in vocational education was used to investigate the proposed relationships and hypotheses with Ordinary Least Squares (OLS) regression method. Findings In terms of teacher health and development, significant main effects were found for several predictors. Autonomy was significantly and negatively related to emotional exhaustion. Autonomy, emotional supervisor and colleague support were significantly and positively related to teachers’ development. However, little support was found for matching hypotheses, suggesting that matching demands and resources do not offer more explanatory power for occupation outcomes than other types of interaction effects. Research limitations/implications More powerful analyses techniques like structural equation modeling could be used in future research with a larger sample size. A second limitation is common method variance. Practical implications Schools in vocational education should provide sufficient job resources, such as autonomy and emotional support, but possibly also put a limit on teacher task variety. Originality/value Job demands and resources have until now mainly been related to negative outcomes such as poor health and ill-being, while the relationship with learning has also been hypothesized and is therefore meaningful to examine. In addition, it was investigated whether interaction effects of matching demands and resources, better explain these outcomes.

scholarly journals Seeing destinations through vlogs: implications for leveraging customer engagement behavior to increase travel intention

2020 ◽  
Vol 32 (10) ◽  
pp. 3227-3248
Author(s):  
Yusi Cheng ◽  
Wei Wei ◽  
Lu Zhang
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Source Credibility ◽  
Customer Engagement ◽  
Equation Modeling ◽  
Future Research ◽  
Media Consumption ◽  
Content Type ◽  
Study Results ◽  
Engagement Behavior

Purpose This study aims to understand customers’ watching experience with travel vlogs and its impacts on one of the most prominent manifestations of customer engagement behaviors (CEBs) – word-of-mouth (WOM) – and their travel intention. Drawing upon the theory of resonance, this study incorporated both cognitive and emotional aspects of travel vlog watching experience. Design/methodology/approach Online survey data were collected from 352 participants who have watched travel vlogs over the past 12 months. Partial least squares structural equation modeling (PLS-SEM) was performed for hypotheses testing. Findings The study results reveal positive impacts of source credibility, inspiration, escapism and self-congruence on WOM, which further leads to travel intention. While source credibility is the strongest predictor of WOM, more factors representing the emotional resonance turn out to be the driving factors of WOM. Research limitations/implications This study pinpoints the value of investigating audiences’ vlogs watching experience from a CEB perspective within the tourism setting. Future research is encouraged to explore more types of CEBs in the intersection of social media consumption and travel behaviors. Practical implications Travel vloggers need to convey their intrinsic passion and enthusiasm to create an emotional connection with the audiences. Hospitality and tourism marketers are recommended to promote products and services by incentivizing audiences to engage with the travel vlogs. Originality/value No prior research integrated vlogs watching experiences, engagement behavior and future travel intention in a tourism setting. This study fills this gap and contributes to the literature on customer engagement, media consumption and marketing.

Safety first: extending UTAUT to better predict mobile payment adoption by incorporating perceived security, perceived risk and trust

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hanif Adinugroho Widyanto ◽  
Kunthi Afrilinda Kusumawardani ◽  
Helmy Yohanes
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Extended Model ◽  
User Privacy ◽  
Content Type ◽  
Perceived Security ◽  
Digital Transactions

Purpose The purpose of this study is to investigate the antecedents of behavioral intention to use (BIU) mobile payment in Indonesia by extending unified theory of acceptance and use of technology (UTAUT) with user privacy constructs, namely, perceived security (PS), perceived risk (PR) and trust (Tr). Design/methodology/approach This is a quantitative research using the covariance-based structural equation modeling method, whereby the researchers conducted an online survey and distributed online questionnaires to users of mobile payment from all over Indonesia to obtain the data. The sample in this study consisted of 358 respondents. Findings This study found that social influence, facilitating conditions, PS, performance expectancy and Tr have a significant and direct influence on BIU mobile payment. PR was not found to have a significant and direct relationship with BIU, but it was indirectly affecting the latter through Tr as the mediating variable. Originality/value The researchers modified UTAUT by incorporating PS, PR and Tr to create a more comprehensive model in predicting mobile payment adoption, especially considering the risky nature of digital transactions in emerging economies like Indonesia. This extended model has never been thoroughly explored in previous studies.

The role of CSR in sport consumption decision-making

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chung-Long Yu
Keyword(s):  
Decision Making ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Behavioral Control ◽  
Explanatory Power ◽  
Theoretical Development ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Extended Model ◽  
Content Type

PurposeThe purpose of the present study was to examine the effect of corporate social responsibility (CSR) on sport spectator's decision-making using extended model of goal-directed behavior (EMGB).Design/methodology/approachAn on-site survey was conducted for individuals (N = 408) who attended professional baseball games held in Taiwan.FindingsStructural equation modeling indicated that the proposed EMGB offered a comprehensive perspective on the complicated decision-making process of sporting event spectators, which increased the explanatory power for predicting future game attending intentions. Specifically, positive anticipated emotion, subjective norm, past behavior, perceived behavioral control and attitude were important determinants of desire, which in turn influenced behavioral intention. The perception of CSR initiatives also played a role in the development of both desire and behavioral intention.Originality/valueBased on the findings, sport managers should consider integrating CSR actions into management and marketing strategies to enhance individuals' desire and intention to attend games. To the best of our knowledge, this is the first attempt to use MGB to study sport spectating, hence extending theoretical development of MGB.

Flooded with too many messages? Predictors and consequences of instant messaging fatigue

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Juhyung Sun ◽  
Sun Kyong Lee
Keyword(s):  
Digital Media ◽  
Structural Equation ◽  
Online Survey ◽  
Instant Messaging ◽  
The United States ◽  
Equation Modeling ◽  
Future Research ◽  
Cross Sectional ◽  
Content Type ◽  
Outcome Framework

PurposeDuring the digital media era with an explosion of messages, the prevalence of what is known as “message fatigue” has grown. However, there is a lack of understanding toward message fatigue in using instant messengers. Based on the stressor-strain-outcome framework, this study provides a theoretical model to explore possible predictors and consequences of instant messaging fatigue.Design/methodology/approachThe hypothesized model includes communication overload, social overload, instant messaging fatigue, technology and behavioral intention to use instant messaging. Three hundred and eleven responses are collected using an online survey. The authors conduct structural equation modeling to evaluate the hypothesized model and test the hypotheses.FindingsThis study reveals that (1) communication overload and social overload are positively associated with instant messaging fatigue and technostress; (2) higher levels of instant messaging fatigue and technostress are also related to a higher level of intention to discontinue usage; (3) technostress significantly mediates the relationship between instant messaging fatigue and intention to discontinue usage of instant messaging.Research limitations/implicationsThis study is limited to collect data from one university in the United States with a cross-sectional design. Future research should include other countries, different age groups and longitudinal methods to examine instant messaging fatigue.Originality/valueThis study extends existing findings on fatigue in using mobile communication by applying the stressor-strain-outcome framework to IM fatigue and improves the understanding of the potential negative aspects of instant messaging.

Engaging leadership in the job demands-resources model

2015 ◽  
Vol 20 (5) ◽  
pp. 446-463 ◽  
Author(s):  
Wilmar B. Schaufeli
Keyword(s):  
Structural Equation ◽  
Work Performance ◽  
Online Survey ◽  
Job Demands ◽  
Well Being ◽  
Organizational Outcomes ◽  
Job Resources ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Content Type

Purpose – The purpose of this paper is to integrate leadership into the job demands-resources (JD-R) model. Based on self-determination theory, it was argued that engaging leaders who inspire, strengthen, and connect their followers would reduce employee’s levels of burnout and increase their levels of work engagement. Design/methodology/approach – An online survey was conducted among a representative sample of the Dutch workforce (n=1,213) and the research model was tested using structural equation modeling. Findings – It appeared that leadership only had an indirect effect on burnout and engagement – via job demands and job resources – but not a direct effect. Moreover, leadership also had a direct relationship with organizational outcomes such as employability, performance, and commitment. Research limitations/implications – The study used a cross-sectional design and all variables were based on self-reports. Hence, results should be replicated in a longitudinal study and using more objective measures (e.g. for work performance). Practical implications – Since engaged leaders, who inspire, strengthen, and connect their followers, provide a work context in which employees thrive, organizations are well advised to promote engaging leadership. Social implications – Leadership seems to be a crucial factor which has an indirect impact – via job demands and job resources – on employee well-being. Originality/value – The study demonstrates that engaging leadership can be integrated into the JD-R framework.

User experience sharing

2018 ◽  
Vol 52 (5/6) ◽  
pp. 1154-1184 ◽  
Author(s):  
Tom Chen ◽  
Judy Drennan ◽  
Lynda Andrews ◽  
Linda D. Hollebeek
Keyword(s):  
User Experience ◽  
Online Communities ◽  
Structural Equation ◽  
Online Survey ◽  
Mobile App ◽  
Equation Modeling ◽  
Content Type ◽  
Key Driver ◽  
The Relationship ◽  
Level Of Effort

PurposeThis paper aims to propose user experience sharing (UES) as a customer-based initiation of value co-creation pertaining to service provision, which represents customers’ level of effort made for the direct benefit of others in their service network. The authors propose and empirically examine a user experience sharing model (UESM) that explicates customer-to-customer (C2C) UES and its impacts on firm-desired customer-based outcomes in online communities.Design/methodology/ApproachBased on an extensive review, the authors conceptualize UES and UESM. By using online survey data collected from mobile app users in organic online communities, the authors performed structural equation modeling analyses by using AMOS 24.FindingsThe results support the proposed UESM, showing that C2C UES acts as a key driver of both firm-desired customer efforts and customer insights. The results also confirmed that service-dominant (S-D) logic-informed motivational drivers exert a significant impact on C2C UES. Importantly, C2C UES mediates the relationship between S-D logic-informed motivational drivers and firm-desired customer-based outcomes.Originality/valueThis study offers a pioneering attempt to develop an overarching concept, UES, which reflects customers’ initiation of value co-creation, and to empirically examine C2C UES. The empirical evidence supports the key contention that firms should proactively facilitate C2C UES.

Event innovation induced corporate branding

2017 ◽  
Vol 29 (3) ◽  
pp. 862-882 ◽  
Author(s):  
Fiona X. Yang ◽  
Sherry Xiuchang Tan
Keyword(s):  
Corporate Branding ◽  
Structural Equation ◽  
Corporate Image ◽  
The Body ◽  
Equation Modeling ◽  
Future Research ◽  
Event Management ◽  
Content Type ◽  
Body Of Knowledge ◽  
Corporate Loyalty

Purpose This paper aims to empirically investigate how event innovation may induce desirable corporate branding. Design/methodology/approach A survey yielded 280 complete responses from tourists who had attended an event in Macau. Structural equation modeling was used to test the innovation-corporate loyalty framework through perceived event value and corporate image, with a multi-group comparison to examine differences between first-time and repeat customers. Findings The results indicate that innovation is not only the key to value enhancement of the event but also an efficacious instrument of branding the parent company and building corporate loyalty; only product-related innovation has a significant impact on event value; both functional and emotional values induce a more favorable corporate image; and event-induced corporate branding is more effective in securing repeat business than attracting new clientele. Practical implications The findings help hospitality operators and event planners to leverage innovative events for corporate branding and cater to different customer segments by providing distinct marketing strategies. Originality/value The study contributes to the body of knowledge regarding event management and corporate branding and sheds light on future research to explore the initiative and benefit of pushing forward event innovation.

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