Value-based Adoption of Mobile Internet: An empirical investigation

Kim, Hee-Woong; Chan, Hock Chuan; Gupta, Sumeet

doi:10.1016/j.dss.2005.05.009

Cited by 1,449 publications

(1,562 citation statements)

References 42 publications

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“…These problems are largely seen in our modern life, for instance, web page classification [3], web spam detection [4], and medical diagnosis [5], [6]. Some of the other fields that involve the analysis of enormous multiclass datasets are mobile commerce [7], bankruptcy or credit detection [8], fraud detection, and crime activity analysis.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets Using Multiple Classifiers

Iram

Jumeily

Fergus

et al. 2014

2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems

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-The optimization and evaluation of a pattern recognition system requires different problems like multi-class and imbalanced datasets be addressed. This paper presents the classification of multi-class datasets which present more challenges when compare to binary class datasets in machine learning. Furthermore, it argues that the performance evaluation of a classification model for multi-class imbalanced datasets in terms of simple "accuracy rate" can possibly provide misleading results. Other parameters such as failure avoidance, true identification of positive and negative instances of a class and class discrimination are also very important. We, in this paper, hypothesize that "misclassification of true positive patterns should not necessarily be categorized as false negative while evaluating a classifier for multi-class datasets", a common practice that has been observed in the existing literature. In order to address these hidden challenges for the generalization of a particular classifier, several evaluation metrics are compared for a multi-class dataset with four classes; three of them belong to different neurodegenerative diseases and one to control subjects. Three classifiers, linear discriminant, quadratic discriminant and Parzen are selected to demonstrate the results with examples.

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Section: Introductionmentioning

confidence: 99%

Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets Using Multiple Classifiers

Iram

Jumeily

Fergus

et al. 2014

2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems

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“…Technology Acceptance Model (TAM) theory indicates that perceived ease of use and perceived usefulness predict the acceptance of technology [15]. McLeod (2009) [6] study has demonstrated that regarding the cell phone communication, age can indeed predict the usage of mobile technology.…”

Section: Literature Reviewmentioning

confidence: 99%

International Market Segmentation: Exploring Cell Phone Market of Young Adults

Awan¹

2014

IJTEF

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Abstract-Purpose: The purpose of this paper is twofold: to investigate the possible inter-market segments in cell phone markets of South Korea and China among young adults and secondly, to summarize and overview previous empirical international segmentation studies in this area to bring the issues together.Design/Methodology/Approach: The data for the study were collected from college-age cell phone users in South Korea and China. A total of 331 questionnaires were deemed as usable for data analysis. Ordered logistic regression analyses were used to test the conceptual model.Findings: The results of the study suggest the inter-market segments do exist in S. Korea and China. These inter-market segments include gender, brand, usage, and features. Further, the evaluation of previous such studies on Finland, USA, Canada, New Zealand and UAE show that inter-market segments are valid for cell phone industry.Practical Implications: The inter-market segments do extend over the borders of S. Korea and China. Considering the size of China market, these inter-market segments can be very for telecommunication companies as well as cell phone manufacturers to offer unique products, services, and miscellaneous marketing program extending the international borders.Originality/Value: The paper is unique in that it is one of the first to not only compare the S. Korean and Chinese cell phone market of young adults, but also to consolidate up to date research on this subject for various countries.

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“…In general, most of the studies related to technology acceptance of ubiquitous computing applications are focused on incorporating additional variables and considering specific applications. For instance, acceptance of mobile commerce has been studied incorporating constructs like trust, cost, social influence and variety of services [11,12]. Mobile payment has been considered in [13], obtaining a strong support for the effects of compatibility, individual mobility, and subjective norm.…”

Section: Introductionmentioning

confidence: 99%

The moderating role of prior experience in technological acceptance models for ubiquitous computing services in urban environments

Torres

Díaz‐Fernández

Toral

et al. 2015

Technological Forecasting and Social Change

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Ubiquitous computing services constitute a new information technology that can be used in thousands of potential applications and environments. Ubiquitous computing is also changing the classic paradigm of information technology as it is forcing social and cultural changes. Determining factors affecting the use of ubiquitous services is essential to correctly define the characteristics of new value added services. However, this study investigates not only these factors, but also the moderating effect of previous experience. Due to the technological nature of ubiquitous services, previous experience alters the way in which potential users face these services. Findings suggest that previous experience changes the way in which antecedent relates to basic TAM constructs. The derived research models and empirical results also provide valuable indicators for future research and managerial guidelines for the successful adoption of ubiquitous computing services.

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Value-based Adoption of Mobile Internet: An empirical investigation

Cited by 1,449 publications

References 42 publications

Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets Using Multiple Classifiers

Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets Using Multiple Classifiers

International Market Segmentation: Exploring Cell Phone Market of Young Adults

The moderating role of prior experience in technological acceptance models for ubiquitous computing services in urban environments

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