This paper introduces the problem of Private Information Retrieval with Reusable and Single-use Side Information (PIR-RSSI). In this problem, one or more remote servers store identical copies of a set of K messages, and there is a user that initially knows M of these messages, and wants to privately retrieve one other message from the set of K messages. The objective is to design a retrieval scheme in which the user downloads the minimum amount of information from the server(s) while the identity of the message wanted by the user and the identities of an M 1 -subset of the M messages known by the user (referred to as reusable side information) are protected, but the identities of the remaining M 2 = M − M 1 messages known by the user (referred to as single-use side information) do not need to be protected.
Purpose Mobile banking or m-banking enables consumers to carry out their banking affairs with the help of mobile devices. Mobile-user banking interactions in the context of technology services create opportunities for positive experiences that can nurture trust, foster brand equity and eventually lead to long-term relationship building. The purpose of this paper is to examine the concepts of m-banking customer flow experiences and their role in affecting customer intention in the continued use of m-banking. Design/methodology/approach To achieve this main objective, a research model was developed by taking theoretical backgrounds and specific characteristics of m-banking into consideration for testing. The study to test this model was carried out in Iran, a developing country in the Middle East. Findings Results of the PLS-SEM analysis of 927 bank customers showed that the flow experience is positively influenced by both hedonic and utilitarian features. While, flow experiences influence trust and brand equity, individual mobility has a stronger effect on the intention to continue the use of m-banking compared with trust, flow experience and brand equity. Originality/value The current research provides various useful insights into customer engagement for conducting banking tasks via mobile technologies. Managers and decision makers can take into account the following insights to enhance positive flow experiences and loyalty intention of customers toward m-banking.
Purpose One of the main challenge when launching new banking services is to overcome resistance to change so as to accelerate market acceptance. This is the case of an Islamic credit card (ICC). Grounded in innovation diffusion theory (IDT) and theory of reasoned action (TRA), this paper aims to study the purposes and empirically tests an integrated model to explore, which factors influence of ICC. Design/methodology/approach Partial least squares and structural equation modeling was used to assess the hypotheses. Accordingly, the empirical results, obtained in a sample of 762 bank customers. Findings Intentions to use of ICC are mostly determined by relative advantage, compatibility, customer awareness, satisfaction and attitude. The combination of IDT and TRA significantly explain the ICC adoption. Originality/value This research has provided a theoretical understanding of the ICC adoption determinants with the intent of promoting a more in-depth understanding of various elements influencing acceptance and usage of this Islamic banking service.
This paper considers the problem of Quantitative Group Testing (QGT). Consider a set of N items among which K items are defective. The QGT problem is to identify (all or a sufficiently large fraction of) the defective items, where the result of a test reveals the number of defective items in the tested group. In this work, we propose a nonadaptive QGT algorithm using sparse graph codes over biregular bipartite graphs with left-degree ℓ and right degree r and binary t-error-correcting BCH codes. The proposed scheme provides exact recovery with probabilistic guarantee, i.e. recovers all the defective items with high probability. In particular, we show that for the sub-linear regime where K N vanishes as K, N → ∞, the proposed algorithm requires at most m = c(t)K t log 2 ℓN c(t)K + 1 + 1 + 1 tests to recover all the defective items with probability approaching one as K, N → ∞, where c(t) depends only on t. The results of our theoretical analysis reveal that the minimum number of required tests is achieved by t = 2. The encoding and decoding of the proposed algorithm for any t ≤ 4 have the computational complexity of O(K log 2 N K ) and O(K log N K ), respectively. Our simulation results also show that the proposed algorithm significantly outperforms a non-adaptive semi-quantitative group testing algorithm recently proposed by Abdalla et al. in terms of the required number of tests for identifying all the defective items with high probability.
We investigate the problem of characterizing the service rate region of a coded storage system by introducing a novel geometric approach. The service rate is an important performance metric that measures the number of users that can be simultaneously served by the storage system. One of the most significant advantages of our introduced geometric approach over the existing approaches is that it allows one to derive bounds on the service rate of a code without explicitly knowing the list of all possible recovery sets. As an illustration of the power of our geometric approach, we derive upper bounds on the service rate of the first order Reed-Muller codes and the simplex codes. Then, we show how these upper bounds can be achieved. Moreover, utilizing the same geometric technique, we show that given the service rate region of a code, a lower bound on the minimum distance of the code can be obtained.
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