UNDERSTANDING THE DIFFERENCE IN ADOPTION AND CONTINUED USAGE OF MOBILE DATA SERVICES

Attracting new customers and retaining existing users are critical for the success of new information systems such as mobile data services (MDS). Thus, it is important to understand the formation process of behavior toward MDS at different stages. However, relative little attention has been paid to the differences in the determinants of behavior toward MDS between potential adopters and experienced users. This study examines the dynamics of customers\u27 decision processes in the MDS context. This study proposes an advanced theoretical framework from multidisciplinary perspectives. The proposed research model is empirically evaluated by using survey data collected from 120 potential adopters and 354 experienced users. This study investigates some significant differences in the influence of the determinants of behavioral intention toward MDS, depending on customers\u27 direct experience with MDS. The results of this study show that the adoption intention is solely determined by utilitarian value whereas continued usage intention is determined by utilitarian value as well as hedonic value

Automatic multi-block grid generation for high-lift configuration wings

A new method for automatic multi-block grid generation is described. The method combines the Modified Advancing Front Method as a Predictor with an elliptic scheme as a corrector. It advances a collection of cells by one cell height in the outward direction using Modified Advancing Front Method, and then corrects newly-obtained cell positions by solving elliptic equations. This predictor-corrector type scheme is repeatedly applied until the field of interest is filled with hexahedral grid cells. Given the configuration surface grid, the scheme produces block layouts as well as grid cells with overall smoothness as its output. The present method saves human-time and reduces the burden on the user in generating grids for general 3-D configurations. It was used to generate multi-block grids for wings in their high-lift configuration

Development of an automatic block generation algorithm

A method for automatic multiblock grid generation is described. The method combines the modified advancing front method as a predictor with an elliptic scheme as a corrector. It advances a collection of cells by one cell height in the outward direction using modified advancing front method, and then corrects newly-obtained cell positions by solving elliptic equations. This predictor-corrector type scheme is repeatedly applied until the field of interest is filled with hexahedral grid cells. Given the configuration surface grid, the scheme produces block layouts as well as grid cells with overall smoothness as its output. The method saves human-time and reduces the burden on the user in generating grids for general 3D configurations. It is used to generate multiblock grids for wings in their high-lift configuration

Understanding the Adoption of Mobile Data Services: A Value Perspective

Mobile data services (MDS) are wireless value-added pay-per-use services that have attracted increased attention in recent years. In the marketing and information system (IS) disciples, the ability of a service provider to offer a high level of value to its customers is regarded as a success. In this paper, a theoretical framework is proposed to investigate key drivers in wireless pay-per-use services behavior based on a value perspective. This study examines the role of three evaluation values, derived from marketing and IS literature, in adoption decisions. Potential adopters have no experience with MDS; thus, they likely conceive value based primarily on indirect experience with it, such as through advertisements or communication with peers. Most studies of MDS, however, have given little attention to the types of information sources that affect the formation of value that is obtained using MDS. In this study, the influence of members of social networks and secondary sources are regarded as the major sources of information. The proposed model is empirically tested using survey data collected from 287 potential adopters. The analysis results show that the proposed model, based on the aforementioned view of value, provides a significant explanation of the variance in the level of adoption intention toward MDS in individuals. The results of this study show that utilitarian and social values dominate adoption decisions while the impact of hedonic value in MDS acceptance is weaker than other values. Information from relevant others and from mass media play a critical role in forming the perceptions of value obtained from the use of MDS

Exploring the Key Antecedents Influencing Consumer’s Continuance Intention toward Bike-Sharing Services: Focus on China

This study investigates the key antecedents affecting consumers’ continuance intention toward bike-sharing services in China. The theoretical framework clarifies the role of perceived value and trust in a service provider in enhancing customer’s continuance intention toward bike-sharing services. Perceived usefulness, perceived ease of use, and perceived enjoyment are considered vital factors in forming perceived value and trust in a service provider. Financial risk and privacy risk serve as inhibitors to consumers’ continuance intention. Our research model is validated using data from 224 bike-sharing consumers in China. Both perceived value and trust in a service have a significant impact on consumers’ continuance intention. However, financial risk significantly affects customer’s continuance intention, although privacy risk does not have a significant impact on it. The analysis results show that perceived usefulness has no significant effect on both perceived value and trust in a service provider. The results demonstrate that perceived ease of use and perceived enjoyment play a significant role in enhancing both perceived value and trust in a service provider. Our results are expected to provide academic and practical implications for bike-sharing services

The Role of Dedication-Based and Constraint-Based Mechanisms in Consumers’ Sustainable Outcomes in the Coffee Chain Industry

Given the increase in consumers’ preferences for coffee, it is becoming important to understand their decision-making processes in the coffee chain context. To deepen the understanding of sustainable outcomes in this context, this study investigates the role of dedication- and constraint-based mechanisms in forming consumers’ repurchase and positive word-of-mouth (WOM) intentions, two critical sustainable outcomes. We examined the effects of coffee quality, the quality of the physical environment, and service quality in accelerating the formation of dedication-based factors. Moreover, this study offers an in-depth understanding of the enablers of perceived switching costs. Data collected from 238 university students that frequently visit coffee chains were empirically tested against the proposed theoretical framework by using structural equation modeling. The results confirm that both dedication- and constraint-based factors substantially predict consumers’ sustainable outcomes in the coffee chain context. Brand image and perceived switching costs play an important role in enhancing consumers’ repurchase and positive WOM intentions compared with customer satisfaction. Coffee quality is significantly associated with both customer satisfaction and brand image, whereas the quality of the physical environment and service quality are only significantly associated with brand image. Habit is found to be the key enabler of perceived switching costs, while loyalty programs have no significant impact on perceived switching costs

Understanding Key Antecedents of Consumer Loyalty toward Sharing-Economy Platforms: The Case of Airbnb

Amidst collaborative consumption and developments in information and communication technology, the sharing economy has attracted worldwide attention, being considered sustainable consumption as it shares time, resources, and materials with others. However, because sharing-economy platforms offer nearly homogeneous assets to traditional business firms, enhancing consumer loyalty presents a huge challenge. This study provides a theoretical view for understanding the mechanisms behind user loyalty in the sharing economy. It identifies consumer satisfaction and trust in Airbnb as the key antecedents of consumer loyalty. Moreover, this study investigates the different effects of economic, hedonic, and symbolic benefits on consumers’ decision-making processes. A structural equation modeling method was used to check the research hypotheses based on a sample of 317 Airbnb consumers in South Korea. The analysis results reveal that in the case of Airbnb, consumer loyalty is jointly shaped by consumer satisfaction and trust, with entertainment and recognition significantly influencing both consumer satisfaction and trust. Moreover, money savings and exploration are not significantly related to consumers’ decision-making processes. Although social benefits significantly influence trust in Airbnb, these have no significant effect on consumer satisfaction. The findings provide theoretical and practical implications and future research direction

The Role of Dedication-Based and Constraint-Based Mechanisms in Consumers’ Sustainable Outcomes in the Coffee Chain Industry

Given the increase in consumers’ preferences for coffee, it is becoming important to understand their decision-making processes in the coffee chain context. To deepen the understanding of sustainable outcomes in this context, this study investigates the role of dedication- and constraint-based mechanisms in forming consumers’ repurchase and positive word-of-mouth (WOM) intentions, two critical sustainable outcomes. We examined the effects of coffee quality, the quality of the physical environment, and service quality in accelerating the formation of dedication-based factors. Moreover, this study offers an in-depth understanding of the enablers of perceived switching costs. Data collected from 238 university students that frequently visit coffee chains were empirically tested against the proposed theoretical framework by using structural equation modeling. The results confirm that both dedication- and constraint-based factors substantially predict consumers’ sustainable outcomes in the coffee chain context. Brand image and perceived switching costs play an important role in enhancing consumers’ repurchase and positive WOM intentions compared with customer satisfaction. Coffee quality is significantly associated with both customer satisfaction and brand image, whereas the quality of the physical environment and service quality are only significantly associated with brand image. Habit is found to be the key enabler of perceived switching costs, while loyalty programs have no significant impact on perceived switching costs