scholarly journals A dynamic failure model for predicting the impact that a program location has on the program

Author(s):  
Jeffrey Voas
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shampy Kamboj ◽  
Manika Sharma ◽  
Bijoylaxmi Sarmah

PurposeThis study seeks to observe the association between mobile banking failures, use of m-banking and customer engagement to determine the contribution of user satisfaction towards m-banking as mediator between the aforementioned relationship.Design/methodology/approachThis study proposes a Mobile Banking Failure Model (MBFM) by integrating four failure dimensions (functional, system, information and service) based on Tan's failure model and DeLone and Mclean's Information Success model. In this paper, data was gathered from 338 respondents, who were the customers of banks and regular users of m-banking services of their respective banks in India. A survey method was employed to collect data. Structure equation modelling (SEM) was used to analyse the collected data.FindingsThe results suggest that all m-banking failure dimensions (functional, system, information and service) affect the use of m-banking, which in turn affects user satisfaction towards m-banking and customer engagement. Additionally, this study found that user satisfaction towards m-banking acts as a partial mediator between the use of m-banking and customer engagement.Research limitations/implicationsThe banking failure and its use by customers have been examined in the context of mobile banking in India only and thereby limits the generalization of results to other industry and country contexts.Practical implicationsThe results of this paper will guide bank managers and policy planners in implementing MBFM in the Indian banking context, specifically for their m-banking apps.Originality/valueThe use of m-banking, user satisfaction towards m-banking and customer engagement have been added as three supportive variables to the basic Tan's failure model and DeLone and Mclean's Information Success model to examine the impact of m-banking failure on bank customers' usage behaviour. This is a novel addition to the extant literature, as most empirical works in this domain are from industries other than banking (specifically m-banking) and with differing contexts.


2020 ◽  
pp. 109634802095081
Author(s):  
Mariluz Maté-Sánchez-Val

The effects of Airbnb on the hotel industry have been debated in different academic forums without a close answer about whether its effects on the hotel industry are complementary or substitutive. To help clarify this issue, this article proposes a business failure model to analyze the impact of Airbnb on the bankruptcy of traditional hotels. In particular, we develop a study case based on a sample of hotels in the city of Barcelona between 2015 and 2018. In addition, we distinguish Airbnb listings’ characteristics such as type of room or market concentration to show an additional understanding of Airbnb effects. Our results show that Airbnb plays a double complementary and substitutive role in traditional hotels’ disruption. In particular, we conclude that Airbnb’s private rooms and the concentration of the Airbnb market in fewer hosts are the main threats to traditional accommodation providers.


2010 ◽  
Vol 77 (5) ◽  
Author(s):  
F. Coghe ◽  
N. Nsiampa ◽  
L. Rabet ◽  
G. Dyckmans

The integration of a high-hardness steel armor plate inside the bodywork of a vehicle may result in a decrease in the overall ballistic resistance. This phenomenon is referred to as the bodywork effect. The effect was examined for a 5.56×45 mm North Atlantic Treaty Organization (NATO) Ball projectile. Previously reported experimental work has confirmed the numerically based assumption that the bodywork effect was due to the flattening of the tip of the projectile upon perforation of the frontal bodywork plate prior to hitting the integrated armor. The amount of qualitative and quantitative experimental data has now been extended. In order to eliminate the data dispersion observed after perforating the bodywork, an adapted projectile geometry with a truncated nose was fired directly against the armor plate. Ballistic testing also involved firing a soft-core 5.56×45 mm projectile for which a similar mechanism was observed. A finite element code was used to simulate the impact process for the different types of projectiles. The parameters of the selected strength and failure models were experimentally determined for the high-hardness armor plate. As to the ballistic limit velocity and plugging morphology there is a good correspondence between the experimental and computed results. Nevertheless, an improved failure model is necessary to get satisfactory computed residual projectile velocities.


2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Xiue Gao ◽  
Duoping Zhang ◽  
Keqiu Li ◽  
Bo Chen

Cascading failures in the command and control networks (C2 networks) could substantially affect the network invulnerability to some extent. In particular, without considering the characteristics of hierarchy structure, it is quite misleading to employ the existing cascading failure models and effectively analyze the invulnerability of C2 networks. Therefore, a novel cascading failure model for command and control networks with hierarchy structure is proposed in this paper. Firstly, a method of defining the node’s initial load in C2 networks based on hierarchy-degree is proposed. By applying the method, the impact of organizational positions and the degree of the node on its initial load could be highlighted. Secondly, a nonuniform adjustable load redistribution strategy (NALR strategy) is put forward in this paper. More specifically, adjusting the redistribution coefficient could allocate the load from failure nodes to the higher and the same level neighboring nodes according to different proportions. It could be demonstrated by simulation results that the robustness of C2 networks against cascading failures could be dramatically improved by adjusting the initial load adjustment coefficient, the tolerance parameter, and the load redistribution coefficient. And finally, comparisons with other relational models are provided to verify the rationality and effectiveness of the model proposed in this paper. Subsequently, the invulnerability of C2 networks could be enhanced.


2008 ◽  
Vol 22 (31n32) ◽  
pp. 5527-5532 ◽  
Author(s):  
J. H. SONG ◽  
J. W. HA ◽  
H. HUH ◽  
J. H. LIM ◽  
S. H. PARK

This paper is concerned with the evaluation of the dynamic failure load in the lap-shear tests of a spot weld. Dynamic lap-shear tests of a spot weld in SPRC340R were conducted with different tensile speeds ranging from 5×10-5 m/sec to 5.0 m/sec. Dynamic effects on the failure load of a spot weld are examined based on the experimental data. Experimental results indicate that failure strength increases with increasing loading rates. Finite element analyses of dynamic lap-shear tests were also performed considering the failure of a spot weld. A spot weld is modeled with a beam element and dynamic failure model is utilized in order to describe the failure of a spot weld in the simulation. The failure loads obtained from the analyses are compared to those from the lap-shear tests. The comparison shows that the failure loads obtained from the analyses are close in consistence with those obtained from the experiments.


2017 ◽  
Vol 0 (5 (9)) ◽  
pp. 10-14
Author(s):  
Anna Markina ◽  
Oksana Mishсhenko ◽  
Julia Laryanovska

2021 ◽  
Author(s):  
Harshil H Pisavadia ◽  
Patricia Dolez ◽  
James D Hogan

2007 ◽  
Vol 40 (13) ◽  
pp. 3319-3328 ◽  
Author(s):  
H Kang ◽  
J Jo ◽  
M Y Choi ◽  
J Choi ◽  
B-G Yoon

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Fang Yang ◽  
Tao Ma ◽  
Tao Wu ◽  
Hong Shan ◽  
Chunsheng Liu

By studying an attacker’s strategy, defenders can better understand their own weaknesses and prepare a response to potential threats in advance. Recent studies on complex networks using the cascading failure model have revealed that removing critical nodes in the network will seriously threaten network security due to the cascading effect. The conventional strategy is to maximize the declining network performance by removing as few nodes as possible, but this ignores the difference in node removal costs and the impact of the removal order on network performance. Having considered all factors, including the cost heterogeneity and removal order of nodes, this paper proposes a destruction strategy that maximizes the declining network performance under a constraint based on the removal costs. First, we propose a heterogeneous cost model to describe the removal cost of each node. A hybrid directed simulated annealing and tabu search algorithm is then devised to determine the optimal sequence of nodes for removal. To speed up the search efficiency of the simulated annealing algorithm, this paper proposes an innovative directed disturbance strategy based on the average cost. After each annealing iteration, the tabu search algorithm is used to adjust the order of node removal. Finally, the effectiveness and convergence of the proposed algorithm are evaluated through extensive experiments on simulated and real networks. As the cost heterogeneity increases, we find that the impact of low-cost nodes on network security becomes larger.


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