Using ubiquitous computing in interactive mobile marketing

Kurkovsky, Stan; Harihar, Karthik

doi:10.1007/s00779-005-0044-5

Cited by 99 publications

(49 citation statements)

References 18 publications

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“…Mobile marketing is an application of m-commerce which capitalises on the anywhere, anytime feature of m-commerce through mobile devices such as mobile phones and PDAs to provide marketing or advertising services to users (Kurkovsky & Harihar, 2006). The penetration of mobile communication across the world has encouraged many organisations to adopt mobile marketing techniques and services (Bauer, Reichardt, Barnes & Neumann, 2005).…”

Section: Mobile Marketingmentioning

confidence: 99%

Mobile banking: A comparative study of South Africa and Nigeria

Bankole

Cloete

2011

IEEE Africon '11

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Mobile banking (m-banking) is an innovative technology application, which has made available different value-added applications in both commercial and business processes. South Africa and Nigeria are reported to have high mobile applications usage in Africa, one of which is mbanking.This study identifies the factors that influence the user acceptance of m-banking in both countries. The aim of this research is to examine the relative differences/similarities of m-banking in South Africa and Nigeria. Several studies on the acceptance of m-banking have produced various results across different countries. This can be accredited to the dissimilar socio-cultural composition of such countries. The user acceptance of m-banking in a country is determined by distinct characteristic factors which are unique to that country.This research takes on a positivistic epistemology. This is an exploratory and deductive study which explains the factors that influence the acceptance of m-banking in two African countries by the use of a conceptual model. This study employed quantitative and qualitative data gathering and analysis processes. A crosssectional survey was conducted.. A total of 451 valid questionnaires were collected and analysed using Statistica 9 -analytic research software. The interviews were analysed using selective coding techniques.In this study, several factors such as cost, trust, satisfaction, social factors, utility expectancy (usefulness) and effort expectancy (ease of use) were identified from literature, and a conceptual model was formulated to test hypotheses generated from previous related studies. The dimensions of national culture -power, distance, uncertainty avoidance, masculinity and individualism were also integrated into the model.The result showed that SMS alert for account transactions is the most used m-banking service in both countries. The hypothesised relationships were validated by using regression tests, supported with responses from the interviewees. It was found that culture has an indirect effect on the user acceptance of m-banking. Security risk was the major disadvantageous factor while ubiquity and immediacy were the most advantageous factor. Additional factors such as awareness, convenience and literacy level were also revealed to influence the acceptance of mbanking in both countries.

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Section: Mobile Marketingmentioning

confidence: 99%

Mobile banking: A comparative study of South Africa and Nigeria

Bankole

Cloete

2011

IEEE Africon '11

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“…A transportation company is interested in predicting the vehicles that will be on a given road at a given time (and with what probability) in order avoid congestion (Karbassi & Barth, 2003). Finally, a retailer is interested in knowing the positions of the shoppers moving in a shopping mall in order to offer suitable customized coupons on discounts (Kurkovsky & Harihar, 2006).…”

Section: Introductionmentioning

confidence: 99%

Knowledge Representation in Probabilistic Spatio-Temporal Knowledge Bases

Parisi¹,

Grant²

2016

jair

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We represent knowledge as integrity constraints in a formalization of probabilistic spatiotemporal knowledge bases. We start by defining the syntax and semantics of a formalization called PST knowledge bases. This definition generalizes an earlier version, called SPOT, which is a declarative framework for the representation and processing of probabilistic spatio-temporal data where probability is represented as an interval because the exact value is unknown. We augment the previous definition by adding a type of non-atomic formula that expresses integrity constraints. The result is a highly expressive formalism for knowledge representation dealing with probabilistic spatio-temporal data. We obtain complexity results both for checking the consistency of PST knowledge bases and for answering queries in PST knowledge bases, and also specify tractable cases. All the domains in the PST framework are finite, but we extend our results also to arbitrarily large finite domains.

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“…However, we believe that this is the case for many pervasive computing scenarios, in which users issue service requests for having access to physical resources (e.g., in [13,19]), receiving directions (e.g., in [2,9]) and suggestions (e.g., proximity advertising [1,12]). …”

Section: Introductionmentioning

confidence: 99%