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.

scholarly journals User-generated content behaviour of the dissatisfied service customer

2014 ◽  
Vol 48 (9/10) ◽  
pp. 1600-1625 ◽  
Author(s):  
Caterina Presi ◽  
Charalampos Saridakis ◽  
Susanna Hartmans
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Service Recovery ◽  
Negative Attitude ◽  
User Generated Content ◽  
Equation Modeling ◽  
Service Experience ◽  
Content Type ◽  
Recovery Strategies

Purpose – This study aims to focus on the motivation of service customers to create user-generated content (UGC) after a negative service experience. In examining this relationship, the moderating role of “extraversion” personality trait is also taken into consideration. Furthermore, the paper examines how differently motivated service customers react to a firm’s service recovery strategies, whilst insights into the relationship between UGC creation and specific online platform usage are also provided. Design/methodology/approach – Structural Equation Modeling is used to test the conceptual model, based on an empirical dataset collected from an online survey research of 239 service customers. The dataset pertains to international travellers and their UGC behaviour after a negative travel experience. Findings – Altruistic, vengeance and economic motivations are strong drivers for UGC creation after a negative service experience. Motivations also correlate to participation in specific online platforms. Furthermore, it is shown that highly extraverted customers create more UGC after a negative service experience when motivated by vengeance. Finally, higher levels of altruistic and self-enhancement motivations correlate with a positive attitude towards a firm’s response, whereas customers who are motivated by vengeance have a negative attitude towards a firm’s response. Practical implications – Customers who share their negative service experience by creating UGC in social media can be segmented according to their motivation. Service providers should inspect the UGC of their customers to understand the motivation behind it. The motivation to create UGC varies across platforms, and hence, customized service recovery strategies are required. Originality/value – This paper examines UGC creation in relation to motivation, extraversion, and attitude towards a firm’s response. This is the first reported application which collectively examines important issues like these in a unified theoretical framework.

Antecedents of e-business adoption intention: an empirical study

2017 ◽  
Vol 9 (4) ◽  
pp. 417-434 ◽  
Author(s):  
Bijoylaxmi Sarmah ◽  
Shreekant Sharma ◽  
Shivam Gupta
Keyword(s):  
Information And Communication Technologies ◽  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Empirical Studies ◽  
Equation Modeling ◽  
Survey Method ◽  
Perceived Behavioral Control ◽  
Content Type ◽  
Adoption Intention

Purpose Recent advances in information and communication technologies has driven emergence and expansion of the internet with decreased computing and communication costs and paved the way for exploring, creating and delivering value to the stakeholders through e-business adoption by the hotel service providers. Keeping this context in mind, this study aims to develop a conceptual model to investigate the antecedent factors of e-business adoption intention among the owners/managers of Indian micro, small and medium hotel enterprises and empirically validates it. Design/methodology/approach Data were gathered from micro, small and medium hotel owners/managers with the help online survey method that resulted into 116 usable questionnaires. Structural equation modeling technique was applied to examine the appropriateness of the hypotheses. Findings Findings reveal that attitude toward e-business, subjective norm and perceived behavioral control positively influences e-business adoption intention among the owners/managers of micro, small and medium hotel enterprises in India. Research limitations/implications The context of this study is micro, small and medium hotel enterprises in India only and thereby limits the generalizability of results to other industry and country context. Practical implications This study offers theoretical and managerial implications to be applied by academicians and micro, small and medium enterprise owners/managers for e-business adoption in Indian hotel industry. Originality value This study can be considered as an extension of the study of Crespo and del Bosque (2008) in which they applied the theory of planned behavior to understand the psychological factors that determine e-business adoption among the managers and, thereby, contribute the existing literature, as empirical studies on e-business adoption intention by micro, small and medium hotel enterprises are scantly available.

Consumer acceptance of smart speakers: a mixed methods approach

2018 ◽  
Vol 12 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Pascal Kowalczuk
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.

An acceptance model for smart watches

2015 ◽  
Vol 25 (4) ◽  
pp. 527-541 ◽  
Author(s):  
Ki Joon Kim ◽  
Dong-Hee Shin
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Content Type ◽  
Psychological Determinants ◽  
Smart Watch ◽  
Acceptance Model

Purpose – The purpose of this paper is to identify the key psychological determinants of smart watch adoption (i.e. affective quality (AQ), relative advantage (RA), mobility (MB), availability (AV), subcultural appeal) and develops an extended technology acceptance model (TAM) that integrates the findings into the original TAM constructs. Design/methodology/approach – An online survey assessed the proposed psychological determinants of smart watch adoption. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were conducted on collected data (n=363) using the AMOS 22 statistical software. The reliability and validity of the measurement assessing the proposed factor structure were examined via CFA, while the strength and direction of the hypothesized causal paths among the constructs were analyzed via SEM. Findings – The AQ and RA of smart watches were found to be associated with perceived usefulness, while the sense of MB and AV induced by smart watches led to a greater perceived ease of the technology’s use. The results also indicated that the devices’ subcultural appeal and cost were notable antecedents of user attitude (AT) and intention to use, respectively. Originality/value – Though smart watches are becoming increasingly popular, empirical studies on user perceptions of and ATs toward – them remain preliminary. This paper is one of the first scholarly attempts at a systematic prediction of smart watch usage, with implications for the adoption of future wearable technology.

scholarly journals Factors influencing consumers' rejection to smartphone transactions in the lodging industry

2020 ◽  
Vol 34 (1) ◽  
pp. 29-40
Author(s):  
Stephanie Bae ◽  
Jun Mo Kwon ◽  
Alyssa Bosley
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Lodging Industry ◽  
Equation Modeling ◽  
Smartphone Apps ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Hotel Room

PurposeThe main purpose of this study is to investigate what affects a customer's decision to use the hotel smartphone applications when he/she makes a room reservation.Design/methodology/approachA total of 266 usable data was collected through an online survey. The research model was tested using confirmatory factor analyses and structural equation modeling.FindingsThis study revealed that perceived usefulness, perceived credibility, perceived equipment risk, and perceived change risk affected customers' intention to book a hotel room using hotel smartphone apps. Perceived ease of use did not have a significant effect on behavioral intention.Originality/valueThis study extended TAM and the existing literature of mobile technology in the lodging industry. This article explored both existing variables and new variables in studying customers' intention to use hotel smartphone apps when booking a hotel room.

Technology readiness, perceived ubiquity and M-commerce adoption

2017 ◽  
Vol 11 (3) ◽  
pp. 268-295 ◽  
Author(s):  
Subhadip Roy ◽  
Y.L.R. Moorthi
Keyword(s):  
Conceptual Model ◽  
Structural Equation ◽  
Service Providers ◽  
Moderating Effect ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Technology Readiness ◽  
Content Type ◽  
Systems Research

Purpose The purpose of this study is to draw concepts from marketing and information systems research and integrate them in the context of M-commerce. The authors develop a conceptual model of technology readiness (TR) affecting perceived ubiquity (PQ) (of smartphones) and PQ affecting M-commerce adoption (MA) incorporating the moderating effect of privacy concerns (PC) on the relation between PQ and MA along with the constructs perceived usefulness (PU) and perceived ease of use (PEU). Methodology The conceptual model was formulated using a set of qualitative research procedures (four focus group discussions) and tested using two questionnaire-based surveys (with 372 and 431 respondents each) in India. Exploratory and confirmatory factor analyses were conducted followed by structural equation modeling for the quantitative data. Findings Results from the quantitative study indicate a significant effect of TR on PQ, PU and PEU. All three latter constructs had a significant effect on MA. A significant moderating effect of PC on the relation between PQ and MA was also observed. Research implications The study findings enhance the literature on the antecedents of successful adoption of M-commerce and establish the role of PQ as a significant influencer of MA. Practical implications The study findings would enable service providers with a new and relevant model of M-commerce adoption. Originality The major contribution of the study is the development and validation of a model that has attitudinal variables related to technology usage and their relations to M-commerce adoption.

Evaluating the sustainable use of mobile payment contactless technologies within and beyond the COVID-19 pandemic using a hybrid SEM-ANN approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed A. Al-Sharafi ◽  
Noor Al-Qaysi ◽  
Noorminshah A. Iahad ◽  
Mostafa Al-Emran
Keyword(s):  
Structural Equation ◽  
Service Providers ◽  
Sustainable Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Content Type ◽  
Perceived Trust ◽  
Model Based ◽  
Managerial Implications

PurposeWhile there is an abundant amount of literature studies on mobile payment adoption, there is a scarce of knowledge concerning the sustainable use of mobile payment contactless technologies. As those technologies are mainly concerned with security and users' trust, the question of how security factors and trust can influence the sustainable use of those technologies within and beyond the COVID-19 pandemic is still unanswered. This research thus develops a theoretical model based on integrating the protection motivation theory (PMT) and the expectation-confirmation model (ECM), extended with perceived trust (PT) to explore the sustainable use of mobile payment contactless technologies.Design/methodology/approachThe developed model is evaluated based on data collected through a web-based survey from 523 users who used contactless payment technologies. Unlike the existing literature, the collected data were analyzed using a hybrid structural equation modeling-artificial neural network (SEM-ANN) technique.FindingsThe data analysis results reinforced all the proposed relationships in the developed model. The sensitivity analysis results showed that PT has the largest impact on the sustainable use of mobile payment contactless technologies with 97.2% normalized importance, followed by self-efficacy (SE) (77%), satisfaction (72.1%), perceived vulnerability (PV) (48.9%), perceived usefulness (PU) (48.2%), perceived severity (PS) (40.7%), response efficacy (RE) (28.7%) and response costs (RCs) (24.1%).Originality/valueThe originality of this research lies behind the development of an integrated model based on PMT and ECM to understand the sustainable use of mobile payment contactless technologies. The study provides several managerial implications for decision-makers, policy-makers and service providers to ensure the sustainability of those contactless technologies within and beyond the COVID-19 pandemic.

The impact of mobile health monitoring on the evolution of patient-pharmacist relationships

2020 ◽  
Vol 14 (1) ◽  
pp. 1-19
Author(s):  
Anaïs Ake ◽  
Manon Arcand
Keyword(s):  
Mobile Health ◽  
Structural Equation ◽  
Online Survey ◽  
Health Condition ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
Perceived Vulnerability ◽  
The Impact

Purpose Increasingly popular mobile health technology is creating a new paradigm for the delivery of care to patients involving a role of the pharmacist. This study aims to propose a renewed patient–pharmacist relationship in this environment and present an empirical case study investigating the influence of key variables, including the consumer’s attitude toward personalized monitoring performed by the pharmacist, on the intention to adopt a mobile health app. Other drivers identified were ease of use and perceived usefulness of the app, individual and health-related factors (perceived vulnerability and severity of health condition, social norms and innovativeness with technology) and quality of relationship with the pharmacist. Design/methodology/approach A self-administered online survey was completed by 356 Canadian mobile device owners of more than 40 of age. Analyses were performed using structural equation modeling. Findings The main factor driving adoption intentions was perceived usefulness followed by the respondent’s innovativeness with technology and perceived vulnerability of his/her health condition. Attitude toward personalized monitoring depends primarily on the relationship with the pharmacist. No relationship was found between adoption intentions and attitude toward personalized monitoring. Originality/value This research features a multidisciplinary approach by using variables from relational marketing, information technology and health and inclusion of the pharmacist (vs physician) as a health consultant, offering relevant marketing avenues for pharmacists.

Managing perceived risk for customer retention in e-commerce

2015 ◽  
Vol 23 (2) ◽  
pp. 145-160 ◽  
Author(s):  
Yung-Shen Yen
Keyword(s):  
Customer Loyalty ◽  
Perceived Risk ◽  
Structural Equation ◽  
Online Survey ◽  
Switching Costs ◽  
Service Providers ◽  
Customer Retention ◽  
Mediation Effect ◽  
Equation Modeling ◽  
Content Type

Purpose – This paper aims to explore how perceived risk affects customer loyalty in e-commerce and how switching costs mediate in the relationship between perceived risk and customer loyalty. Design/methodology/approach – In this paper, structural equation modeling was conducted, and data on Internet shopping habits of 382 consumers in Taiwan were examined. Findings – The findings of this study revealed that lowering perceived risks can increase switching costs, which leads to customer loyalty with the service provider in e-commerce. Research limitations/implications – A sample bias may exist because the sampling was conducted through an online survey in a specific Web site. This study affirmed the theoretical framework regarding the mediation effect of switching costs on perceived risk and customer-loyalty relationships. Practical implications – To avoid the single effect of reducing perceived risk on customer loyalty, practitioners should be difficult for competitors to imitate. This can increase the barriers to competition, further lock in the customer and can prevent the switch to other service providers. Originality/value – The findings provide a new feasible approach to customer retention: a business can reduce customers’ perceived risk to increase switching costs against the competition for customer retention in e-commerce.

Why do customers intend to continue using internet-based sharing economy service platforms? Roles of network externality and service quality

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Service Quality ◽  
Structural Equation ◽  
Service Providers ◽  
Sharing Economy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Network Externality ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Content Type

Purpose The purpose of this study is to integrate network externality and service quality as antecedents to the synthesis of expectation–confirmation model (ECM) and perceived ease of use (PEOU) in explaining customers’ continuance intention of internet-based sharing economy service platforms. Design/methodology/approach Sample data for this study were collected from students enrolled in a comprehensive university in Taipei, Taiwan. A total of 600 questionnaires were distributed in various campus locations, and 510 usable questionnaires were analyzed in this study, with a usable response rate of 85.0%. Collected data were analyzed using structural equation modeling. Findings The primary findings are as follows. First, service enablers’ online service quality positively affected customers’ perceived usefulness (PU), confirmation and PEOU of internet-based sharing economy service platforms, which directly or indirectly explained customers’ satisfaction and continuance intention of the platforms. Next, service providers’ offline service quality positively influenced customers’ PU of internet-based sharing economy service platforms, which in turn caused customers’ satisfaction and continuance intention of the platforms. Finally, network externality from customers’ side and service providers’ side all positively affected customers’ PU of internet-based sharing economy service platforms, which in turn led to customers’ continuance intention of the platforms. Originality/value First, this study contributes to the identification of network externality and service quality that may reveal deep insights to the understanding of customers’ continuance intention of internet-based sharing economy service platforms greatly driven by their confirmation of expectations and satisfaction with the platforms. Next, the empirical evidence on capturing ECM and PEOU for completely explaining the antecedents of customers’ continuance intention of internet-based sharing economy service platforms is well documented. Hence, this study’s findings have significantly shed light on the possible formulation of a richer post-adoption model.

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