Mobile Commerce and the Internet of Things

Turban, Efraim; Whiteside, Judy; King, David B.; Outland, Jon

doi:10.1007/978-3-319-50091-1_6

Cited by 21 publications

(20 citation statements)

References 4 publications

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“…Owing to their nature, mobile phones are set to replace credit cards, and considering the large amount of data phones amass, it has been suggested that IOT applications have the potential to revolutionise the finance industry (Turban et al. ).…”

Section: Motivationmentioning

confidence: 99%

Big Data Opportunities for Accounting and Finance Practice and Research

Cockcroft

Russell

2018

Australian Accounting Review

120

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We examine the research opportunities for the use of 'big data' in accounting and finance. The purpose of the study is to present a snapshot of big data academic research in information systems, accounting and finance, and to highlight areas for further research in accounting and finance. The research question addressed in this work is: What are the major themes in existing research in big data and where are the resulting gaps in the accounting and finance literature? An analysis is presented of 47 accounting, finance and information systems journals from 2007-2016. We identify and sample the relevant literature to derive a taxonomy of themes. These themes are presented as a conceptual matrix in which the themes from the taxonomy are used as concepts, and the matrix identifies where they appear, and where there are potential areas for further research. Prior research in big data in accounting, finance and information systems falls into six themes. The six under-researched areas of big data in accounting and finance are risk and security, data visualisation and predictive analytics, data management and data quality. Increased research in these areas will lead to improvements in industry practices, and opportunities for cross-disciplinary research.

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Section: Motivationmentioning

confidence: 99%

Big Data Opportunities for Accounting and Finance Practice and Research

Cockcroft

Russell

2018

Australian Accounting Review

120

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“…The rapid diffusion of the internet since the 1990s, followed by the growth of e-commerce, has produced a radical change in the ways in which firms do business (Roca et al, 2009;Mayayise and Osunmakinde, 2014;Tran et al, 2017;Hlee et al, 2017). The rapid development of e-commerce transactions is, however, challenged by consumers' concerns regarding the safety, privacy, security and legitimacy of transactions performed online (Utz et al, 2012;Kim et al, 2016;Fortes and Rita, 2016;Beck et al, 2017;Oliveira et al, 2017;Turban et al, 2018).…”

Section: Theoretical Background and Conceptual Framework 21 Key Hindmentioning

confidence: 99%

“…Electronic commerce is growing rapidly and becoming one of the key supports of the service management economy (Huang et al, 2017;Turban et al, 2018;Kerkhof and Noort, 2010;Kim et al, 2016). Indeed, it has become even more popular than before (Sharma and Lijuan, 2014;Mousavizadeh et al, 2016;Turban et al, 2018;Murillo, 2017). Therefore, firms seek nowadays to maximize their profits not only through providing high-quality products and services but also by making online purchasing easier and safer (Kim et al, 2016;Thaichon, 2017).…”

Section: Introductionmentioning

confidence: 99%

Converting hotels website visitors into buyers

Agag

Khashan

Colmekcioglu

et al. 2019

ITP

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Purpose Despite the increasing utilization of webpages for the purposes of information seeking, customers’ concerns have become a crucial impediment for online shopping. The purpose of this paper is to examine the influence of the effectiveness of web assurance seals services (WASS) and customers’ concerns on customer’s willingness to book hotels through perceived website trust and perceived value. Design/methodology/approach A questionnaire was administrated to measure the study variables. Using partial least squares–structural equation modeling approach to analyze the data collected from 860 users of online hotel websites. Findings The results indicate that WASS influence positively on perceived website trust and negatively on consumers’ concerns. As well as, perceived value and trust play a mediating role in the link between WASS and consumers’ concerns and their intentions. Finally, perceived website trust and perceived value have greater effect on intention to book hotel for low-habit consumers. Research limitations/implications This study ignored the cross-culture issue as it concentrates on the customers from developing countries, so further research may need to compare between two or more than two samples from different societies that could give a significant insights. Second, this study stresses on the WASS to predict customers booking intentions that indicates significant results, so further research may need to examine the role of online reviews as a predictor of customers purchase decision as well. Originality/value To the authors’ best knowledge, this is the first empirical research that investigates and examines the influence of the effectiveness of WASS and consumers’ concerns on consumers’ intentions through perceived value and trust. This research also investigates the moderating role of habit in the link between perceived website, perceived value and consumers’ intentions.

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“…Many mobile devices with a web browser accessing the internet and some networks are providing different information [4]. It is possible for a mobile device user while they trying to access a wide variety of content, including information from directories, restaurant guides, travel guides and this obtained search results are responsive to a user's request [5]. These type of search results are useful for one who seeking the information about the location [6].…”

Section: Introductionmentioning

confidence: 99%

Random Forest with Harmony Search Optimization for Location Based Advertising

Rohilla¹,

Chakraborty²,

Kumar³

2019

IJITEE

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Location based services are essential for the mobile user for obtaining the information based on the specific location. Initially, the location information is obtained using the GIS system for getting accurate information about the location. Then relevant information is extracted based on the location then the features are extracted from the dataset. Extracted features are segmented in order to simplify the process of location based advertising. The segmented features are used for simplifying the processing of retrieved data. The random forest algorithm is utilized to effectively retrieve the user data. It is one of the Meta heuristic algorithms which provide best result for the retrieval process. The optimal solution is needed for the designed algorithm for the purpose of avoiding local optimization, thus it improves the performance with respect to accuracy. The optimization algorithm Harmony search is used for getting optimal result based on the location. The exact information for the query is obtained for the proposed approach based on the location.

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Mobile Commerce and the Internet of Things

Cited by 21 publications

References 4 publications

Big Data Opportunities for Accounting and Finance Practice and Research

Big Data Opportunities for Accounting and Finance Practice and Research

Converting hotels website visitors into buyers

Random Forest with Harmony Search Optimization for Location Based Advertising

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