Abstract:Electronic auction (e-auction), a major e-commerce model, has enjoyed rapid growth in many countries. This study develops a web assessment model (EAWAM) from a consumer perspective that suggests that user intention to continue using an e-auction website is based on users' satisfaction with the e-auction website, which is determined by perceived e-auction user friendliness, functionality and interactivity. Web trustworthiness serves as an important antecedent to perceived e-auction user friendliness and functio… Show more
“…On another note, user satisfaction is another concept that has been widely acknowledged as a surrogate measure of system success in the field of Information Systems (IS) and as a predictor of customer loyalty and retention in the Marketing disciplines (Lu et al, 2009; Wu and Wang, 2006). We define user satisfaction as users’ overall evaluation of service experiences after the actual use of the service over time (Garbarino and Johnson, 1999).…”
Section: Development Of Conceptual Framework and Hypothesesmentioning
confidence: 99%
“…It is a crucial variable to be investigated when aiming to predict post-adoption behavioral variables, particularly because it can be measured only after an actual experience of technology or service use (Rogers, 2010). Furthermore, previous studies have confirmed the positive relationship between user satisfaction and actual use (Lu et al, 2009); therefore, we include user satisfaction in our conceptual framework.…”
Section: Development Of Conceptual Framework and Hypothesesmentioning
This study proposes a conceptual framework for understanding the driving factors of value-added mobile services use. We offer a novel perspective, through an examination of the user–device relationship, on how the latent use of smartphones enhances the actual use of value-added mobile services. We grounded our framework in both the domestication and Apparatgeist theories as well as the findings from three focus groups. We tested the framework using self-reported data from 414 smartphone users. The findings demonstrate that the symbolic use of smartphones results in increased attachment to smartphones that in turn has a positive effect on deriving experiential value of using value-added mobile services. Symbolic use also has a positive relationship with value-expressiveness resulting from the use of such services. Both value-expressiveness and experiential value have a strong, positive relationship with overall user satisfaction that leads to an increase in the actual use of such services.
“…On another note, user satisfaction is another concept that has been widely acknowledged as a surrogate measure of system success in the field of Information Systems (IS) and as a predictor of customer loyalty and retention in the Marketing disciplines (Lu et al, 2009; Wu and Wang, 2006). We define user satisfaction as users’ overall evaluation of service experiences after the actual use of the service over time (Garbarino and Johnson, 1999).…”
Section: Development Of Conceptual Framework and Hypothesesmentioning
confidence: 99%
“…It is a crucial variable to be investigated when aiming to predict post-adoption behavioral variables, particularly because it can be measured only after an actual experience of technology or service use (Rogers, 2010). Furthermore, previous studies have confirmed the positive relationship between user satisfaction and actual use (Lu et al, 2009); therefore, we include user satisfaction in our conceptual framework.…”
Section: Development Of Conceptual Framework and Hypothesesmentioning
This study proposes a conceptual framework for understanding the driving factors of value-added mobile services use. We offer a novel perspective, through an examination of the user–device relationship, on how the latent use of smartphones enhances the actual use of value-added mobile services. We grounded our framework in both the domestication and Apparatgeist theories as well as the findings from three focus groups. We tested the framework using self-reported data from 414 smartphone users. The findings demonstrate that the symbolic use of smartphones results in increased attachment to smartphones that in turn has a positive effect on deriving experiential value of using value-added mobile services. Symbolic use also has a positive relationship with value-expressiveness resulting from the use of such services. Both value-expressiveness and experiential value have a strong, positive relationship with overall user satisfaction that leads to an increase in the actual use of such services.
“…Website characteristics influence and are influenced by the other factors proposed here. For example, Lu and colleagues [5] proposed that trustworthiness leads to consumers' higher evaluation of an e-auction site's friendliness, functionality and interactivity. Secondly, the knowledge gap should be considered.…”
As compared to the economic losses, social and psychological losses are of equal importance in discussing the losses when encountering fraud. Taking advantage of a perspective paper form (i.e., free writing style with a mix of description, analysis, and comments) with in-depth discussions and well-developed propositions, we combine considerations from the knowledge gap, platform quality, and risk management to discuss the comparative seriousness of different fraud-caused losses. The conceptual model mainly articulates on a series of relationships among different degrees of knowledge gap, platform quality, and risk management in predicting the various combinative losses in the economic, social, and psychological aspects. Propositions follow. First, when the knowledge gap is higher, the economic losses of being cheated on the internet will be higher, while lower in social and psychological losses. Second, when perceived platform quality is higher, the economic losses of being cheated on the internet will be lower, while higher in social and psychological losses. Third, when platform risk management is better, all aspects of being cheated on the internet will be lower. Based on the assumption of network externality, we also argue that the multiple dimensions of fraud-caused losses may damage e-auction sustainability. Theoretical and practical implications will be discussed.
“…Despite the following papers in current literature, there is not any country-level decision making model to assess the current status of e-Commerce maturity in countries: US [30]; UK [31]; Brazil [32]; Mexico [33]; in Greece [34]; South Korea [35]; Singapore [36][37][38]; Hong Kong [39]; China [40][41][42][43]; India [44]; Malaysia [45,46]; developing countries [47] and global e-Commerce researches [48][49][50][51][52] For this purpose, we present a three-level national e-Commerce self-assessment framework where: 1) it addresses the gaps in the effective self-assessment of country-level e-Commerce maturity; 2) it considers three levels of local, regional, international e-Markets along with interdependencies between them in the national e-Commerce self-assessment process; 3) it synthesizes qualitative judgments and quantitative data of maturity criteria and sub-criteria; and 4) it considers fuzzy logic and fuzzy sets to represent ambiguous, uncertain or imprecise information. The results of this e-Commerce maturity self-assessment allow a country to discern clearly its strengths and areas in which improvements can be made and culminate in planned improvement actions that are then monitored for progress.…”
Countries need to be aware of the stage of their current e-Commerce maturity for choosing the right strategy to move forward. For this purpose, we develop a country-level decision support framework to determine maturation stage of e-Commerce in a country. At first, e-Commerce maturity scores of local e-Markets in each regional e-Market are calculated using a fuzzy bi-level Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Then, e-Commerce maturity scores of regional e-Markets in the country are determined based on a fuzzy bi-level fishbone diagram. After that, national e-Commerce maturity level is assessed using a three-level decision making model. The contribution of the proposed decision support framework is four folds: 1) it develops a fishbone diagram to a fuzzy bi-level environment; 2) it presents a country-level decision making model with three levels of local, regional, international e-Markets to assess country’s e-Commerce maturity level; 3) it considers interdependencies between local, regional and international e-Markets; and 4) it synthesizes qualitative judgments and quantitative data of maturity criteria and sub-criteria. The results of this self-assessment can be used to analyze national e-Commerce strengths, weaknesses in e-Commerce development and move to the next level of e-Commerce maturity. Furthermore, it can be used as a device to transfer knowledge to developing countries. We present a case study to determine US e-Commerce maturity level.
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