Behavioral intention to use cryptocurrency in Malaysia: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joye Ter Ji-Xi ◽  
Yashar Salamzadeh ◽  
Ai Ping Teoh
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Online Survey ◽  
Developed Countries ◽  
Equation Modeling ◽  
Data Set ◽  
Age And Gender ◽  
Content Type ◽  
Factors Influencing ◽  
And Gender

Purpose The purpose of this study is to empirically examine the factors influencing consumer behavioral intention (BI) to use cryptocurrency as a medium of transaction. Constructs from the unified theory of acceptance and use of technology model and an added variable, perceived risk (PR), are examined to predict BI. Age and gender as moderators are retained in this model. Design/methodology/approach An online survey was used to gather the respondents’ responses on a five-point Likert scale. G * Power was used to calculate the required minimum sample size. A non-probability sampling technique was used to gather data from the 290 respondents based in Malaysia. The final data set was analyzed using the statistical package for the social sciences and SmartPLS software using structural equation modeling. Findings The results show that three of the five proposed factors (performance expectancy, effort expectancy and facilitating condition) are significant predictors of BI to adopt cryptocurrency as a medium of transaction. Interestingly, PR is not a significant predictor even though prior research studies showed otherwise. Likewise, the relationship between BI and social influence became significant only when age is added as a moderator. Practical implications Malaysians are still wary of cryptocurrency, even though global tech firms such as Amazon and Microsoft are already accepting Bitcoin as a payment method. This study aims to provide relevant authorities and businesses (i.e. central bank, retail merchants and cryptocurrency exchangers) insights toward understanding the factors consumers focus on if they were to use cryptocurrency as a medium of transaction. Originality/value Most cryptocurrency research are done in developed countries (i.e. USA, UK and EU) perspective. This research addresses the lack of quantitative literature on significant factors influencing BI to use cryptocurrency in developing country context while taking a PR, age and gender into consideration.

An extended technology acceptance model in behavioral intention toward hotel tablet apps with moderating effects of gender and age

2016 ◽  
Vol 28 (8) ◽  
pp. 1535-1553 ◽  
Author(s):  
Jungsun (Sunny) Kim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Age And Gender ◽  
Content Type ◽  
And Gender ◽  
Tablet Apps ◽  
Acceptance Model

Purpose This paper aims to examine whether a customer’s perceptions of hotel tablet apps serve as determinants of customers’ behavioral intention in terms of the app’s ease of use, usefulness, credibility and subjective norm. It also explored age and gender as moderators of the relationships between these determinants and customers’ behavioral intention as well as customers’ likelihood of using specific app functions across age and gender. Design/methodology/approach A research model, grounded in the technology acceptance model (TAM), used data collected from 751 hotel customers in the USA. The model was tested using confirmatory factor analysis and structural equation modeling. Findings The results showed that three of the four proposed determinants positively influenced customers’ behavioral intention toward hotel tablet apps. Neither gender nor age played significant moderating roles in the relationships between the four determinants and the behavioral intention. The study also revealed age- and gender-related differences in preferences for specific hotel tablet app functions. Practical implications This study helps operators successfully plan for investing in and implementing hotel apps. It assists operators in developing effective marketing strategies by understanding factors influencing customers’ app adoption and between group differences in their preferences on app functions. Originality/value This is the first tablet app adoption study that extends TAM to the hotel industry. Thus, it extends the literature on technology adoption by exploring both existing and new variables and testing them in a new context.

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.

Age and gender differences in socially aversive (“dark”) personality traits

2021 ◽  
pp. 089020702098843
Author(s):  
Johanna Hartung ◽  
Martina Bader ◽  
Morten Moshagen ◽  
Oliver Wilhelm
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Age Groups ◽  
Dark Triad ◽  
Equation Modeling ◽  
Model Parameters ◽  
Age And Gender ◽  
Measurement Models ◽  
And Gender ◽  
Latent Means

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.

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.

Higher education amid COVID-19 pandemic: contributions from resilience, positive orientation and grit

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Afsaneh Ghanizadeh
Keyword(s):  
Academic Achievement ◽  
University Students ◽  
Structural Equation ◽  
Online Survey ◽  
Self Regulation ◽  
Academic Resilience ◽  
Equation Modeling ◽  
Positive Orientation ◽  
Major Purpose ◽  
Content Type

PurposeThe major purpose of the present study is to investigate the contribution of academic resilience in accounting for two motivational and attitudinal constructs ? Grit and positive orientation and also probe the predictive power of all these constructs in academic achievement of university students in the midst of the pandemic COVID-19.Design/methodology/approach521 university students participated in an online survey. To measure academic resilience, a scale designed and validated by Kim and Kim (2016) comprising 26 items was employed. The scale contains five sub-factors: perceived happiness, empathy, sociability, persistence and self-regulation. Grit was assessed via an 8-item scale comprising two facets: perseverance of effort (PE) and consistency of interest (CI). It was designed by Duckworth and Gross (2014). Positive orientation was determined through positivity scale developed by Caprara et al. (2010), consisting of eight items.FindingsThe results of structural equation modeling (SEM) revealed that resilience positively and significantly predicted both grit (β = 0.56, t = 6.41) and positive orientation (β = 0.54, t = 6.35). Resilience also predicted academic achievement directly (β = 0.71, t = 9.12) and indirectly via its impact on grit and positive orientation. It was also found that positive orientation and grit are positively and highly associated (β = 0.77, t = 9.28).Originality/valueThe pandemic COVID-19 brought about substantial changes in university students' education and their overall life style. Many university students around the globe experienced virtual education. Balancing personal and academic roles in these unprecedented conditions seems to be a tough challenge for every university student.

E-retailer cognitive and emotional relationship quality: their experiential antecedents and differential impact on brand evangelism

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ibrahim Al Nawas ◽  
Shadi Altarifi ◽  
Nabil Ghantous
Keyword(s):  
Relationship Quality ◽  
Social Presence ◽  
Structural Equation ◽  
Online Survey ◽  
Word Of Mouth ◽  
Equation Modeling ◽  
Growth Strategies ◽  
Content Type ◽  
The Difference ◽  
Brand Evangelism

PurposeLimited knowledge exists on the difference in the antecedents and outcomes of relationship quality's cognitive and emotional aspects for e-retailers. This research tests how utilitarian and hedonic shopping values differentially affect “cognitive and emotional” relationship quality components and how the latter differentially affects word-of-mouth and brand evangelism.Design/methodology/approachOnline survey data were collected from 450 Jordanian online shoppers. Structural equation modeling (AMOS 24.0) was employed to analyze the data.FindingsFirst, e-retailer's informativeness and transaction convenience (i.e. utilitarian values), drive more strongly cognitive than emotional relationship quality, whereas e-retailer's escapism and social presence (i.e. hedonic values) drive more strongly emotional than cognitive relationship quality. Second, emotional relationship quality has a strong significant effect on brand evangelism, whereas cognitive relationship quality's effect is insignificant. Third, there are no statistically significant differences concerning the effect of cognitive and emotional relationship quality on word-of-mouth.Originality/valueThe findings of our research are expected to enhance our understanding of e-retailer relationship quality, its emergence and consequences. They would also provide e-retailers with guidance on how to execute growth strategies by focusing on specific types of brand relationship quality, on the other hand.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

Antecedents of the attitude toward the athlete celebrities' human brand extensions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jakeun Koo
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Brand Extensions ◽  
Equation Modeling ◽  
Image Transfer ◽  
Content Type ◽  
Before And After ◽  
Research Findings ◽  
Survey Results ◽  
Human Brands

PurposeThe present study aims to examine how consumers evaluate the extended human brands of athlete celebrities beyond their unique brand personality associated with sports. Athlete celebrities' unique image in sports is used as a human brand, and attitude toward the athlete brand extensions is investigated when the athlete's name is included in a new non-sport brand. The concepts of brand extensions were employed to develop the ideas of human brand extensions.Design/methodology/approachIn total, 198 participants answered online survey questions before and after being informed of athlete brand extensions. Partial least squares structural equation modeling is utilized to test the hypotheses.FindingsThe survey results indicated that athlete–product fit and image transfer positively influenced attitude toward the extension. In addition, attitude toward the athlete brand extensions was significantly influenced by consumers' pre-existing attitude toward the celebrity; however, not by celebrity's expertise.Originality/valueThe research findings imply that some brand extension concepts are applicable to human brands to understand the effectiveness of athlete brand extensions for non-sport products.

Utilizing the Push-Pull-Mooring-Habit framework to explore users’ intention to switch from offline to online real-person English learning platform

2019 ◽  
Vol 29 (1) ◽  
pp. 167-193 ◽  
Author(s):  
Yu-Hsin Chen ◽  
Ching-Jui Keng
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
English Learning ◽  
Content Type ◽  
Learning Platform ◽  
Perceived Price ◽  
Real Person

Purpose The purpose of this paper is to develop an extended Push-Pull-Mooring-Habit (PPMH) framework in order to better understand users’ intention of switching from offline to an online real-person English learning platform service. Design/methodology/approach Based on 301 valid responses collected from an online survey questionnaire, structural equation modeling was employed to examine the research model. Findings The causal model was validated using SmartPLS 3.0, and all study hypotheses were supported. The results show that push effects (learning convenience, service quality and perceived price), pull effects (e-learning motivation, perceived usefulness), mooring effects (learning engagement, switching cost and social presences) and habit effects (relationship inertia) all significantly influence users’ switching intentions from offline to an online real-person English learning platform. Practical implications The findings should help online English learning service providers and marketers to understand the intention of offline English learning users to switch to an online real-person English learning platform, and develop related theories, services and regulations. Originality/value The present study extends the prior research of an online real-person English learning platform by providing PPMH as the general framework and demonstrating its efficacy in explaining user switching intentions.

Psychological antecedents to customized apparel purchases

2019 ◽  
Vol 23 (1) ◽  
pp. 66-81
Author(s):  
Sukyung Seo ◽  
Chunmin Lang
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Extended Self ◽  
Self Monitoring ◽  
Content Type ◽  
Need For Uniqueness ◽  
Study Results ◽  
Target Consumer

Purpose The purpose of this paper is to determine the influences of consumers’ internal-oriented psychological factors (i.e. self- promotion, need for uniqueness, self-expression and self-monitoring) and external-oriented psychological properties (i.e. social identity and other-directedness) on the perception of customization and the sense of extended-self; further to identify whether the perception of customization and the sense of extended-self lead to purchase intention toward customized apparel products. Design/methodology/approach Data were collected through an online survey among college students in the USA, generating a valid sample size of 338 participants. Factor analysis and Structural Equation Modeling were utilized to test proposed hypotheses. Findings The results indicated that need for uniqueness and self-monitoring were significantly related to consumers’ perception of customization and the sense of extended-self, whereas impacts of self-expression and other-directedness were not significant. Furthermore, the results also confirmed that consumers’ perception of customization and the sense of extended-self were positively associated with purchase intention of customized apparel products. Originality/value This study investigates consumers’ psychological features that influence consumers’ buying intention of customized apparel products, which is the first attempt. The study results are insightful and beneficial for marketers to construct target consumer segmentation under different cultural and social settings.

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