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Purpose Tremendous growth and worldwide expansion of Islamic banking industry has gained widespread attention of economist, bankers, investors and financial experts regardless of economic and political volatility in global banking industry. To compete with conventional banking, Islamic banks are setting up themselves with innovative technologies to gain competitive edge and market share. The establishment of mobile banking has been proven a technological wonder by eliminating time and space boundaries, and one can access financial services anywhere and at any time. For effective market segmentation, recognizing gender differences in factors affecting the adoption patterns of m-banking may provide competitive edge. Therefore, this paper aims to investigate how gender differences impact the intention to adopt Islamic mobile banking in Pakistan. Design/methodology/approach The study uses extended technology acceptance model (TAM) on final 243 participants from Pakistan. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) methodology has been applied for data analysis using SPSS 21 and AMOS 21. Findings Results have identified two interesting and different models for males and females in intention to adopt Islamic mobile banking. It is inferred that males are more task driven and desire for personality, value and status, so their intention is significantly impacted by perceived usefulness and perceived self-expressiveness. Whereas, females have found lack of IT knowledge and trust; therefore, their intention is significantly impacted by perceived credibility. However, the perceived financial cost was found of no concern for both males and females and social norms influenced the adoption, but there existed no significant gender differences. Originality/value The contribution of this study to existing literature is twofold. First, the existing research on mobile banking has mainly applied TAM on conventional banking overlooking the important ethnic group, the Muslims, who prefer Islamic banking. Second, the impact of gender differences is investigated in factors affecting intention to adopt Islamic mobile banking that has not been studied previously. The study fills the gap.

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The purpose of this study was to investigate the proposed model in which effect of trust, attitude and task technology fit are taken as independent variables and intention to m-banking adoption as dependent variable. The study also analyzes the mediating role of trialability between the independent and dependent variables. To find out how much variance each of the independent variables contribute in dependent variable, Structural equation modeling (SEM) approach is applied on the data sample of 271 respondents from Pakistan. The confirmatory factor analysis (CFA) suggested a good model fit. The results from SEM analysis revealed a model R-square of 0.55. It suggested the significant effect of attitude and task technology fit on intention to adopt m-banking. The analysis further explained the presence of mediating role of trialability between the relationship of intention to adopt m-banking and trust, attitude and task technology fit. The study also provides implications, limitations and future research suggestions.

To improve the secrecy performance of cellular-enabled unmanned aerial vehicle (UAV) communication networks, this paper proposes an aerial cooperative jamming scheme and studies its optimal design to achieve the maximum average secrecy rate. Specifically, a base station (BS) transmits confidential messages to a UAV and meanwhile another UAV performs the role of an aerial jammer by cooperatively sending jamming signals to oppose multiple suspicious eavesdroppers on the ground. As the UAVs have the advantage of the controllable mobility, the objective is to maximize the worst-case average secrecy rate by the joint optimization of the two UAVs’ trajectories and the BS’s/UAV jammer’s transmit/jamming power over a given mission period. The objective function of the formulated problem is highly non-linear regarding the optimization variables and the problem has non-convex constraints, which is, in general, difficult to achieve a globally optimal solution. Thus, we divide the original problem into four subproblems and then solve them by applying the successive convex approximation (SCA) and block coordinate descent (BCD) methods. Numerical results demonstrate that the significantly better secrecy performance can be obtained by using the proposed algorithm in comparison with benchmark schemes.