Antecedents and consequences of e-shopping: an integrated model

Lim, Weng Marc

doi:10.1108/intr-11-2013-0247

Cited by 107 publications

(90 citation statements)

References 129 publications

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“…Ha and Stoel, 2009;Lim, 2015a;Lim and Ting, 2012). In that sense, the model is likely to suffer from overwhelming replication, with the possibility that endeavours to offer incremental contributions to the field may become extremely difficult, if not nearly impossible-an issue that resonates with many in the information systems and technology discipline (Lim, 2016).…”

Section: Revisiting Tammentioning

confidence: 99%

Dialectic Antidotes to Critics of the Technology Acceptance Model: Conceptual, Methodological, and Replication Treatments for Behavioural Modelling in Technology-Mediated Environments

Lim

2018

AJIS

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The technology acceptance model (TAM) is a prominent and parsimonious conceptual lens that is often applied for behavioural modelling in technology-mediated environments. However, TAM has received a great deal of criticism in recent years. This article aims to address some of the most pertinent issues confronting TAM through a rejoinder that offers dialectic antidotes-in the form of conceptual, methodological, and replication treatmentsto support the continued use of TAM to understand the peculiarities of user interactions with technology in technology-mediated environments. In doing so, this article offers a useful response to a common but often inadequately answered question about how TAM can continue to be relevant for behavioural modelling in contemporary technology-mediated environments.

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Section: Revisiting Tammentioning

confidence: 99%

Dialectic Antidotes to Critics of the Technology Acceptance Model: Conceptual, Methodological, and Replication Treatments for Behavioural Modelling in Technology-Mediated Environments

Lim

2018

AJIS

Self Cite

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“…As IS research has shown, delays in online transactions can be perceived as a flaw that may ultimately have a negative impact on continuation to use the website (Everard & McCoy 2010). In a similar vein, any features that irritate customers during the interaction with a website (e.g., interruptions) deteriorate the customer experience and hence, have a negative impact on attitude and usage intention (Lim 2014). To summarize, partial transaction support will result in positive customer experiences due to higher customer engagement and interaction, but may also be less appreciated by customers due to delays of transaction completion.…”

Section: Australasian Journal Of Information Systems Madlberger and Matmentioning

confidence: 99%

“…Indeed, e-commerce business models can differ substantially in their effect on sales generation because important factors such as price reductions or dynamics in sales processes can look very differently (Wang et al 2016). Considering this rich body of work, it comes as a surprise that e-commerce business models are described as the most discussed yet least understood concepts in the ecommerce field (Veit et al 2014 The value provided by an e-commerce business model is decisive for customers' choice of the e-commerce channel (Lim 2014) and, as a further consequence, also for the reuse intention (Adapa & Cooksey 2013;Wang et al 2016). Nowadays e-commerce business models are often based on multiple channels, also referred to as bricks and clicks business models (Herhausen et al 2015).…”

Section: E-commerce Business Modelsmentioning

confidence: 99%

Theorizing E-Commerce Business Models: On the Impact of Partially and Fully Supported Transaction Phases on Customer Satisfaction and Loyalty

Madlberger

Matook

2017

AJIS

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Although considerable research has been conducted on the definition and classification of ecommerce business models, little research has integrated the support and impact of distinct transaction phases within e-commerce business models. Indeed, any channel design decisions depend on the arrangement of the three transaction phases, viz. information phase, agreement phase and fulfilment phase. Whereas in literature, a complete support of transaction phases is implicitly assumed, in practice, e-commerce firms exist that consciously do not support all three transaction phases through the online channel. In cases for which only certain phases are supported in one channel, the customer is required to switch to another channel to complete the transaction. To gain an initial understanding of the relevance of transaction phases, we examine the influence of transaction phase support in one channel on satisfaction and reuse intention of an e-commerce website under consideration of users' prior experiences. We conduct a laboratory experiment involving two e-commerce business models that differ only in the number of supported transaction phases via the online channel. Empirical data was analysed using a Bayesian network approach. Our analysis indicates the types of users who value partial support compared to those users who prefer full support of transaction phases. The results will assist firms in meeting future challenges regarding user engagement and attraction to their online stores.

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“…Instead, noteworthy efforts are being made to extend (e.g. through theoretical integration; Lim, 2015) or apply (e.g. in experimental settings; Teh et al, in press) the technology acceptance model meaningfully.…”

Section: Reviewmentioning

confidence: 99%

A Post Publication Review of “Publication anxiety, quality, and journal rankings: Researchers views”

Lim

2016

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ReviewJournal ranking systems are impacting academics in research-intensive universities worldwide. The paper by Coulthard and Keller contributes to existing knowledge in the area by empirically investigating the effects of journal ranking systems on research and the welfare of researchers, specifically in the discipline of information systems. Using chi-square tests and descriptive analyses on survey responses from a sample of 275 attendees of information systems conferences, the paper concludes that journal ranking systems have mixed impacts on research and the welfare of researchers. More specifically, in terms of research, the study finds that though journal ranking systems have been perceived as increasing publication quality (positive impact), such systems have also been perceived as inhibiting innovative, risky research and encouraging safe, conforming mainstream orthodoxy, which result in a lack of diverse, innovative, and ground breaking research (negative impacts). In terms of the welfare of researchers, the study finds that journal ranking systems contribute to the pressure to publish and to publication anxiety, especially in instances when time for research is insufficient and when regional, cross-disciplinary and qualitative research are threatened by publication bias by journals and its editors (negative impacts); no positive impacts of such systems on the welfare of researchers were reported.Notwithstanding the noteworthy empirical contributions from the study by Coulthard and Keller, this review identifies three substantive issues that may be of interest for future research.First, the state of theoretical contribution in the existing literature resulting from journal ranking systems needs to be framed and discussed more clearly and objectively. For example, the use of the technology acceptance model as a theoretical lens in information systems research is characterized as a form of orthodox, incremental research, which is considered undesirable by Coulthard and Keller as well as several other scholars (Benbasat and Barki, 2007;Grover and Lyytinen, 2015). However, proponents of the theory may have an alternative and justifiable view of its use and value-e.g. the relevance and value of technology acceptance studies are predicated on its ability to identify avenues for attitudinal and behavioural change to encourage greater acceptance of myriad technologies among diverse communities. It is important to note that technology acceptance studies today are not limited to basic, conventional concepts, such as perceived ease of use and perceived usefulness. Instead, noteworthy efforts are being made to extend (e.g. through theoretical integration; Lim, 2015) or apply (e.g. in experimental settings; Teh et al., in press) the technology acceptance model meaningfully. This is part and parcel of theoretical extension (i.e. a type of theoretical contribution accepted by top journals), and thus its importance should not be downplayed. More importantly, it is necessary to acknowledge that not all research will st...

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Antecedents and consequences of e-shopping: an integrated model

Cited by 107 publications

References 129 publications

Dialectic Antidotes to Critics of the Technology Acceptance Model: Conceptual, Methodological, and Replication Treatments for Behavioural Modelling in Technology-Mediated Environments

Dialectic Antidotes to Critics of the Technology Acceptance Model: Conceptual, Methodological, and Replication Treatments for Behavioural Modelling in Technology-Mediated Environments

Theorizing E-Commerce Business Models: On the Impact of Partially and Fully Supported Transaction Phases on Customer Satisfaction and Loyalty

A Post Publication Review of “Publication anxiety, quality, and journal rankings: Researchers views”

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