Factors Affecting Customer Loyalty for Online Group-Buy

2014 ◽  
Vol 631-632 ◽  
pp. 1127-1130
Author(s):  
Bing Wu ◽  
Chen Yan Zhang
Keyword(s):  
Customer Satisfaction ◽  
Technology Acceptance ◽  
Conceptual Model ◽  
Customer Loyalty ◽  
Perceived Risk ◽  
Future Research ◽  
Factors Affecting ◽  
Acceptance Model ◽  
The Impact ◽  
Online Group

As customer satisfaction and loyalty are often low in online group-buy, the conceptual model is constructed to explore the factors influencing online group-buy consumers’ loyalty based on theories of the Technology Acceptance Model (TAM), including the perceived risk, customer satisfaction, and customer loyalty. And 13 hypotheses are made according to the conceptual model. The research results can be the reference for the improvement of customer loyalty for online group-buy. In the future research, the empirical study will be used to verify the proposed hypothesis and reveal the impact of each variable in the conceptual model.

Metrics development and modelling the mixed reality and digital twin adoption in the context of Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar ◽  
Mohsen Ghobadi ◽  
Sara Shirowzhan ◽  
David J. Edwards ◽  
Elham Delzendeh
Keyword(s):  
Technology Acceptance ◽  
Mixed Reality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Future Research ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Digital Twin ◽  
Acceptance Model

PurposeThis paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.Design/methodology/approachAn interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.FindingsThe extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.Research limitations/implicationsThe decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.Practical implicationsSeveral constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.Originality/valueThe research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.

The Conceptualization of a Research Model for the Measurement of e-Government 2.0 Readiness in the Developing Countries

2012 ◽  
pp. 61-75
Author(s):  
Yfantis Vasileios ◽  
Abel Usoro ◽  
Tseles Dimitrios
Keyword(s):  
Developing Countries ◽  
Web 2.0 ◽  
Technology Acceptance ◽  
Conceptual Model ◽  
Empirical Model ◽  
Future Research ◽  
Successful Implementation ◽  
Acceptance Model ◽  
The Web

This chapter explores the potential of Web 2.0 utilization in developing countries through the concept of e-government. Successful implementation of the Web 2.0 concept has to combine both technological and human factors. Thus, this chapter proposes a conceptual model that will measure e-government 2.0 readiness. The conceptual model is based on a combination of the Technology Acceptance Model, Theory of Planned Behavior, and indexes from the United Nation’s database. South Sudan is used at the end as a brief case study of the potential of e-Government 2.0. Future research should validate the empirical model. Meanwhile, the implications of the model are presented.

A Conceptual Model for the Measurement of E-Government 2.0 Adoption by Developing Countries

2015 ◽  
pp. 239-251
Author(s):  
Yfantis Vasileios ◽  
Abel Usoro ◽  
Tseles Dimitrios
Keyword(s):  
Information Technology ◽  
Developing Countries ◽  
Technology Acceptance ◽  
Conceptual Model ◽  
Empirical Model ◽  
Social Computing ◽  
Future Research ◽  
The Public ◽  
The Government ◽  
Acceptance Model

The current work explores the use of social computing as a tool to improve the interactions between the government and other parties. Social computing, which is known as Web 2.0, is applied in the public sector through the concept of e-Government 2.0. This chapter proposes a conceptual model that will measure e-Government 2.0 adoption by combining known information technology theories. The conceptual model is based on a combination of the Technology Acceptance Model, Theory of Planned Behavior and indexes from the United Nation's database. Future research should validate the empirical model. Meanwhile, the implications of the model are presented.

THE NEGATIVE EFFECT OF A PERCEIVED LACK OF AN INSTALLED BASE ON TECHNOLOGY ADOPTION

2015 ◽  
Vol 19 (02) ◽  
pp. 1550021 ◽  
Author(s):  
FIONA M. SCHWEITZER
Keyword(s):  
Technology Acceptance ◽  
Perceived Risk ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Solar Systems ◽  
Negative Effect ◽  
Technical Innovations ◽  
Acceptance Model ◽  
The Impact

In this paper, I analyse the impact that a perceived lack of an installed base has on the adoption of technological products. I use the Technology Acceptance Model (TAM), which considers perceived usefulness and ease-of-use as the central drivers of adoption and propose that the perceived lack of an installed base influences these two drivers. Based on cue utilisation theory, I further suggest that a perceived lack of an installed base can serve as an extrinsic cue of product quality deficiencies and difficulties with obtaining help and advice. In order to verify the supposed effect of a perceived lack of an installed base, I survey 162 households. The data shows that a perceived lack of an installed base of thermal solar systems (1) decreases their perceived usefulness and perceived ease-of-use and (2) acts as a mediator of the perceived risk. The study implies that managers launching technical innovations should develop strategies to influence consumers' perceptions of the current and the future installed base and communicate the development of the installed base to trigger adoption.

An alternative model of self-service retail technology adoption

2015 ◽  
Vol 29 (5) ◽  
pp. 406-420 ◽  
Author(s):  
Arun Kumar Kaushik ◽  
Zillur Rahman
Keyword(s):  
Technology Acceptance ◽  
Primary Data ◽  
Future Research ◽  
Consumer Adoption ◽  
Content Type ◽  
Intention To Adopt ◽  
Self Service ◽  
Acceptance Model ◽  
The Impact ◽  
Practical Implications

Purpose – This study aims to extend and revise the basic technology acceptance model (TAM) by analyzing the impact of trust and subjective norm (SN) on consumers’ attitude and behavioral intention toward adopting self-service technologies (SSTs) in offline retail environments. Design/methodology/approach – Primary data were collected through field and online surveys, resulting in 651 usable responses. Hypotheses involving all variables of extended TAM, and their mutual relationships, are examined in this study of offline consumer adoption behavior. Findings – The findings reveal that trust significantly affects both consumers’ attitudes and their behavioral intentions, while SN also affects intention to adopt. It is recommended that future researchers use a more comprehensive version of TAM and consider trust and SN when analyzing offline consumer adoption behavior. Research limitations/implications – All the SSTs included in this paper belong to the retail industry, which limit the generalizability of the findings to other industries. Many other limitations are also discussed. Practical implications – The practicality of our findings guides managers and designers of technological interfaces. Furthermore, the practical implications are discussed and directions for future research are also provided. Social implications – This study recommends the usage of numerous SSTs in organized retail stores. The society will also benefit from the effective implementation of such SSTs. Originality/value – Trust and SNs have been incorporated as two additional variables to analyze offline adoption behavior of retail customers. This has not been done before, as most studies have focused on adoption behavior of customers in online environments.

Determining the impact of e-commerce quality on customers’ perceived risk, satisfaction, value and loyalty

2019 ◽  
Vol 11 (4) ◽  
pp. 576-587 ◽  
Author(s):  
Ιoannis Tzavlopoulos ◽  
Katerina Gotzamani ◽  
Andreas Andronikidis ◽  
Chris Vassiliadis
Keyword(s):  
Path Analysis ◽  
Customer Loyalty ◽  
Perceived Risk ◽  
Perceived Value ◽  
Perceived Quality ◽  
Ease Of Use ◽  
Future Research ◽  
Content Type ◽  
The Impact

Purpose The quality assessment of e-commerce services is of particular research interest, as it has been widely found that quality is directly linked to customer satisfaction and loyalty, which in turn leads to improved sales results, the creation of reputation and enhanced competitiveness for active companies in the industry. The purpose of this paper is to investigate the quality in e-commerce and to examine the relationships developed among its individual dimensions and satisfaction, perceived value, perceived risk and customer loyalty. Design/methodology/approach Initially, exploratory factor analysis with the equamax rotation method was applied to identify the perceptions of consumers regarding quality, value, satisfaction, risk and loyalty. The effect of the factors that make up perceived quality of e-services on customer value, satisfaction, risk and loyalty was examined by using OLS regression analysis. Likewise, path analysis was applied to confirm the impact of perceived quality on total consumer satisfaction, perceived value and loyalty, utilizing perceived risk as a moderating variable. Findings The authors found that quality overall has a positive and statistically significant relationship with perceived value, satisfaction and loyalty and negative with perceived risk. From the individual dimensions of quality, it has been found that ease of use of websites, design, responsiveness and security lead to increased levels of perceived value, while ease of use, responsiveness and personalization lead to an increase in the overall satisfaction of consumers. Overall, it has been documented that high levels of quality lead to higher satisfaction and perceived value, mitigating perceived risk and positively impacting the adoption of desirable consumer behaviors as reflected in customer loyalty. Research limitations/implications In this respect, future research in the field of e-commerce can examine the quality of the respective electronic services taking into account different product and business categories. In addition, the future research can focus on the impact of high satisfaction, perceived value and customer loyalty on various sizes of business performance, including sales, market share, competitiveness, financial efficiency and sustainability. Practical implications Given the clear relationship between quality, perceived value and satisfaction, e-commerce businesses have the potential to benefit significantly from improvements in the quality of their services, as this leads to increased levels of perceived value, high level of satisfaction and hence enhanced customer loyalty, which is in turn reflected in increased sales, positive word-of-mouth, improved reputation and brand loyalty. In this way, e-businesses will be able to improve their financial position, achieve higher market shares, maintain their competitive advantage, attract new development resources and become sustainable on a long-term basis. Social implications Businesses need to understand the factors that determine the quality in e-commerce to be able to achieve customer satisfaction and reduce perceived risk through improved quality. These factors, which consumers perceive as important for quality, are critical. Originality/value The concepts of quality, perceived value, risk, satisfaction and loyalty are considered to be interlinked in both traditional consumer research and e-commerce, as high levels of perceived quality are believed to lead to positive assessments of the cost-benefit and, hence, the perceived value (Cronin et al., 2000; Sweeney and Soutar, 2001; Korda and Snoj, 2010) and loyalty. In this context, this study attempted to study the relationship of these five variables, through both regression and path analysis, resulting in similar results. According to the findings of the study, perceived quality of website services has a positive and statistically significant impact on perceived value, satisfaction and an opposite effect on perceived risk, while the last is mitigating variable for and loyalty.

Customer Satisfaction in the Context of Online Gaming Service

2014 ◽  
Vol 1 (3) ◽  
pp. 63-80 ◽  
Author(s):  
Jiming Wu
Keyword(s):  
Customer Satisfaction ◽  
Technology Acceptance ◽  
Research Question ◽  
Perceived Usefulness ◽  
Future Research ◽  
Game Player ◽  
Player Satisfaction ◽  
Baseline Knowledge ◽  
Hedonic Experience ◽  
Acceptance Model

Prior research has devoted considerable attention to consumer hedonic experience and customer satisfaction in retailing and e-commerce settings. However, very little effort has been made to investigate the relationship between hedonic experience and customer satisfaction in the context of information system use. To fill this gap, this study investigates the effect of hedonic experience on game player satisfaction using an adapted technology acceptance model. By doing so, this article addresses the core research question: What drives online game player satisfaction? In support of the model and most of the hypotheses, the empirical results not only identify key antecedents of enjoyment and perceived usefulness, but also confirm the significant role of the two constructs in predicting player satisfaction. This study thus helps both information systems and marketing researchers attain a better understanding of customer satisfaction, expand their baseline knowledge of hedonic experience constructs, and conduct more fruitful and illuminating future research on e-commerce service.

The Importance of Ease of Use, Usefulness, and Trust to Online Consumers

2011 ◽  
pp. 1400-1417 ◽  
Author(s):  
Donna Weaver McCloskey
Keyword(s):  
Electronic Commerce ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Retirement Community ◽  
Future Research ◽  
Older Americans ◽  
Acceptance Model ◽  
Positive Direct ◽  
The Impact

This research examines electronic commerce participation and attitudes by older Americans. Questionnaires were distributed at a large retirement community and several senior centers located in Pennsylvania. The sample of 110 respondents ranged in age from 52 to 87. Fifty-nine percent reported purchasing an item online in the last 6 months. The Technology Acceptance Model (TAM) was used and modified to examine the impact attitudes concerning ease of use, usefulness and trust had on electronic commerce usage. Usefulness and trust were found to have a positive, direct affect on usage. Ease of use had significant impacts on usefulness and trust had a significant impact on both ease of use and usefulness. The chapter concludes with a discussion of these results, study limitations, and directions for future research.

scholarly journals Technology Acceptance Model, Organizational Commitment and Turnover Intention: A Conceptual Framework

2015 ◽  
Vol 7 (12) ◽  
pp. 146 ◽  
Author(s):  
Alireza Parvari ◽  
Roya Anvari ◽  
Nur Naha binti Abu Mansor ◽  
Masoomeh Jafarpoor ◽  
Maliheh Parvari
Keyword(s):  
Information Technology ◽  
Information System ◽  
Organizational Commitment ◽  
Conceptual Framework ◽  
Technology Acceptance ◽  
Turnover Intention ◽  
Future Research ◽  
Work Related ◽  
Acceptance Model ◽  
The Impact

<p>Information system is being implemented to improve job performance and facilitate employees’ work. However, implementing Information system has some negative impacts on employees and organization if employees do not accept it. Several previous studies investigated some consequences of information technology such as turnover intention and job satisfaction. This study provides a conceptual framework that shows other independent consequences of information system implementation. The model presented the impact of attitude towards using information technology on three components of organizational commitment (formative, normative and continuance). It also addresses the impact of attitude towards using information technology on turnover intention directly and via organizational commitment. Based on technology acceptance and its consequences, we develop a number of testable propositions that can guide to further research on work related outcome due to technology acceptance. Finally, we provide some recommendations for future research.</p>

Understanding the Factors Affecting the Adoption of E-Marketing by Small Business Enterprises

2010 ◽  
pp. 237-258 ◽  
Author(s):  
Hatem El-Gohary ◽  
Myfanwy Trueman ◽  
Kyoko Fukukawa
Keyword(s):  
Small Business ◽  
Technology Acceptance ◽  
Diffusion Theory ◽  
Future Research ◽  
Factors Affecting ◽  
Business Context ◽  
Work Related ◽  
Innovation Diffusion Theory ◽  
Business Enterprises ◽  
Acceptance Model

The chapter builds on the current body of knowledge in the field of E-Marketing through a survey and organised systematic examination of the published work related to the Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT) and E-Marketing adoption by Small Business Enterprises. Furthermore, the chapter illustrates that although many E-Marketing adoption factors are driven from the literature of E-Marketing, as well as the technology adoption theories like TAM and IDT, only some of these factors are found to significantly affect the adoption of E-Marketing by Small Business Enterprises. This review and the results of the fieldwork research conducted by the authors will enable entrepreneurs, policy makers, students and practitioners to build a greater understanding of E-Marketing adoption in a small business context. Moreover, the chapter will help researchers and scholars in the field of E-Marketing to have a clearer view towards suitable future research studies in the field of E-Marketing that in turn will contribute to the related accumulated knowledge in the field.

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