This tutorial explains in detail what factorial validity is and how to run its various aspects in PLS. The tutorial is written as a teaching aid for doctoral seminars that may cover PLS and for researchers interested in learning PLS. An annotated example with data is provided as an additional tool to assist the reader in reconstructing the detailed example.

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A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example

Are trust and risk important in consumers' electronic commerce purchasing decisions? What are the antecedents of trust and risk in this context? How do trust and risk affect an Internet consumer's purchasing decision? To answer these questions, we i) develop a theoretical framework describing the trust-based decision-making process a consumer uses when making a purchase from a given site, ii) test the proposed model using a Structural Equation Modeling technique on Internet consumer purchasing behavior data collected via a Web survey, and iii) consider the implications of the model. The results of the study show that Internet consumers' trust and perceived risk have strong impacts on their purchasing decisions. Consumer disposition to trust, reputation, privacy concerns, security concerns, the information quality of the Website, and the company's reputation, have strong effects on Internet consumers' trust in the Website. Interestingly, the presence of a third-party seal did not strongly influence consumers' trust.

/pdf/a-trust-based-consumer-decision-making-model-in-electronic-2tir3ct0zz.pdf

A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents

A meta-analysis of the technology acceptance model

http://mail.im.tku.edu.tw/~myday/teaching/992/SEC/S/992SEC_T4_Paper_20110520_What%20drives%20mobile%20commerce.pdf

What drives mobile commerce? An empirical evaluation of the revised technology acceptance model

While the technology acceptance model (TAM), introduced in 1986, continues to be the most widely applied theoretical model in the IS field, few previous efforts examined its accomplishments and limitations. This study traces TAM’s history, investigates its findings, and cautiously predicts its future trajectory. One hundred and one articles published by leading IS journals and conferences in the past eighteen years are examined and summarized. An openended survey of thirty-two leading IS researchers assisted in critically examining TAM and specifying future directions.

/pdf/the-technology-acceptance-model-past-present-and-future-5dz0sdj5kx.pdf

The Technology Acceptance Model: Past, Present, and Future

/pdf/communications-of-the-association-for-information-systems-24evsqkczn.pdf

Communications of the Association for Information Systems

Enticing online consumers: an extended technology acceptance perspective

One promising area of mobile commerce (m-commerce) that is receiving growing attention globally is mobile payment (m-payment). m-payment refers to making payments using mobile devices. Understanding the determinants of consumer acceptance of m-payment will provide important theoretical contributions to the field and lead to the development of more effective m-payment devices and systems. By expanding the Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT), this study proposes a research model that examines the factors which determine consumer acceptance of m-payment. Significant support for the model was found in the data collected from a survey of 299 potential m-payment users. Implications for practice and suggestions for future research are provided.

A model of consumer acceptance of mobile payment

The emergence of the virtual store has paved the way for the diffusion of E-commerce. Understanding key determinants for successful virtual stores will provide important theoretical and practical implications for developing E-commerce strategies. Expanding the Technology Acceptance Model and Innovation Diffusion Theory, we propose a theoretical model for studying a wide array of issues involved in E-commerce strategies. We test the model using a Web-based survey, and identify factors that have impacted acceptance of virtual store, including product offerings, information richness, usability of storefront, perceived trust and perceived service quality. We discuss the implications for research and practice on how to remain competitive in the volatile electronic marketplace.

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1554610_code1429796.pdf?abstractid=1554610&mirid=1

Technology Adaptation in E-Commerce: Key Determinants of Virtual Stores Acceptance

Virtual stores provide great efficiency in the retail value chain, and their existence has tremendously paved the way for the diffusion of electronic commerce. Understanding the determinants of consumer acceptance of virtual stores will provide important theoretical contributions to the area of business-to-consumer (B-to-C) electronic commerce and lead to the development of more effective and meaningful strategies for virtual stores. By expanding the Technology Acceptance Model and the Innovation Diffusion Theory, this study aims to provide an integral theoretical paradigm that can successfully support a wide array of technical, business, and consumer issues involved in online retailing. The results from a Web-based survey of 253 online consumers indicate that the proposed theoretical model is able to explain and predict consumer acceptance of virtual stores substantially well. The resulting theoretical model explains a large portion of the factors that lead to a user's behavioral intention to use and actual use of a virtual store. In addition to providing new theoretical grounds for studying the virtual store phenomenon, this article also supplies virtual stores with a number of operative critical success factors to remain competitive in the volatile electronic marketplace.

Leida Chen

Papers

Communications of the Association for Information Systems

Enticing online consumers: an extended technology acceptance perspective

A model of consumer acceptance of mobile payment

Technology Adaptation in E-Commerce: Key Determinants of Virtual Stores Acceptance

Consumer acceptance of virtual stores: a theoretical model and critical success factors for virtual stores