Comment on 'Generalized Heisenberg algebra coherent states for power-law potentials'

We argue that the statistical features of generalized coherent states for power-law potentials based on Heisenberg algebra, presented in a recent paper by Berrada et al (Phys. Lett. A, 375, 298 (2011)) are incorrect.Comment: 9 pages, 1 figur

Impact of CRM adoption on organizational performance: Moderating role of technological turbulence

Purpose Customer relationship management (CRM) is instrumental to attain and sustain organizational competitive advantage. Innovation in terms of CRM adoption is the key to gain competitive advantage, and being innovative is dependent on how well organizations know about changing demands of customers and their changing ways to gain access to the market. There is hence a need to develop ongoing empirical insights from diverse management perspectives into the effect of CRM adoption on organizational performance. In this context, the purpose of this study is to develop empirical insights in relation to the moderation of technological turbulence in the banking sector. Design/methodology/approach Primary data were collected and analyzed from 277 CRM staff-members of the banking sector in Pakistan to test a conceptual model. Frequencies of demographics are calculated with correlation and regression analyses using SPSS. The correlation analysis was performed to identify the direction that exists between the dependent and independent variables, and the regression analysis was performed to study the strength/intensity of the independent variable over the dependent variable. Moderating regression analysis was performed to find the moderation effect of technological turbulence on CRM adoption and organizational performance. Findings The CRM adoption has a critical positive impact on organizational performance in the settings of business-to-customer (B2C) perspective in the banking sector. Moreover, the results uncover that improved client satisfaction through CRM adoption prompts better organizational performance in the B2C organization. The authors also have found that technological turbulence has a negative guiding impact on the association linking with CRM adoption, as well as organizational performance. Research limitations/implications The conceptual model that is proposed in this study and supported by empirical insights offers researchers to develop future research studies on the moderating role of technological turbulence to analyze the influence of CRM adoption on organizational performance. Practical implications The empirical insights of this study are valuable for the professionals in the banking sector and other B2C organizations to enrich their organizational performance through CRM adoption while considering the moderating role of technological turbulence. Originality/value Based on an empirical study, in support of an original conceptual model, the insights of this paper contribute to the extant literature in the CRM, bank marketing and management, service management, B2C marketing and the emerging economy knowledge streams

Efficient algorithms for a class of partitioning problems

The problem of optimally partitioning the modules of chain- or tree-like tasks over chain-structured or host-satellite multiple computer systems is addressed. This important class of problems includes many signal processing and industrial control applications. Prior research has resulted in a succession of faster exact and approximate algorithms for these problems. Polynomial exact and approximate algorithms are described for this class that are better than any of the previously reported algorithms. The approach is based on a preprocessing step that condenses the given chain or tree structured task into a monotonic chain or tree. The partitioning of this monotonic take can then be carried out using fast search techniques

Peak to average power ratio based spatial spectrum sensing for cognitive radio systems

The recent convergence of wireless standards for incorporation of spatial dimension in wireless systems has made spatial spectrum sensing based on Peak to Average Power Ratio (PAPR) of the received signal, a promising approach. This added dimension is principally exploited for stream multiplexing, user multiplexing and spatial diversity. Considering such a wireless environment for primary users, we propose an algorithm for spectrum sensing by secondary users which are also equipped with multiple antennas. The proposed spatial spectrum sensing algorithm is based on the PAPR of the spatially received signals. Simulation results show the improved performance once the information regarding spatial diversity of the primary users is incorporated in the proposed algorithm. Moreover, through simulations a better performance is achieved by using different diversity schemes and different parameters like sensing time and scanning interval