117 research outputs found

    Systems Issues in E-Commerce

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    This paper profiles critical systems issues in deriving value from e-commerce initiatives.  With the help of several organizational processes and functions, opportunities for accounting are identified to reduce the impending failure rate as companies experiment and adapt to the new business model.  Organizations should adopt a holistic approach to address systems design, implementation and control issues.  The planning and execution of e-commerce activity should focus on glitch free front-end portals that are followed up with tight back-end data integrity across various nodes of the value chain.

    ‘Reality Shock’ of Management Education in India: Issues and Challenges

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    The best business leaders and management professional can be created only by a successful synthesis of academic theory and business practices or industrial experience. The business education should be based on practical or simulated and effective case studies by quality faculty, latest ICT facilities and infrastructure. If the educational infrastructure is sound then only one can expect a strong structure in future. There is need of convergence of these components into one and then only delivery of it can be made to all its stakeholders effectively. The model of I-S has been proposed to combat the ongoing battle of quality and employment considerations to its stakeholders. Keywords: Convergence, Accreditation, Academic industry interface, faculty exchang

    DAMPING ESTIMATION OF PLATES JOINED AT A POINT USING STATISTICAL ENERGY ANALYSIS

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    The loss factors and coupling loss factors of a 2-plate, coupled system were estimated using the Statistical Energy Analysis methodology. In particular the Power Input Method (P.I.M.) and the Transient Statistical Energy Analysis Method (T.S.E.A.) were applied to both steady state and transient excitation cases. The effects of various process parameters such as frequency resolution, frequency bandwidths, type of hammer tip and measurement points on the estimated loss factors were also investigated for 3 different levels of damping. Possible reasons for the occurrence of negative coupling loss factor estimations using the T.S.E.A. method have been discovered to be the flexibility of the joint between the plates and the frequency resolution of the measured data. The effect of frequency resolution and damping on the estimated loss factors was examined both numerically and experimentally. First, a two degree of freedom (2-DOF) system was numerically simulated with varying model loss factors of 0.1%, 7.5% and 75% and frequency resolutions of 0.05 Hz, 0.2Hz and 1 Hz. The estimated loss factors were found to be highly dependent on the frequency resolution only in the lightly damped case. Experiments were then performed on 2 Aluminum plates coupled at a point, varying both the damping (by adding constrained layer damping) and the frequency resolution. It was seen that the coupling loss factors were not dependent on the damping levels, whereas the loss factors increased as the damping increased as expected. As the frequency resolution was decreased the loss factors in some frequency bands, especially the lower frequency bands, tended to negative values. The loss factors estimated, using the power input method, were in good agreement with both shaker and hammer excitations. Modal density and modes in band were also calculated and compared with the theoretical results. Significant variation between the theoretical values and the experimental values was seen only in the `No damping' case and only in the lower frequency bands. The main aims of using the T.S.E.A. method were to interpret the results from the dissertation by M. L. Lai, to find out the practical limitations of the method and to establish the degree of agreement of the asymptotic loss factor estimations with respect to the P.I.M. A numerical simulation was run on a 2-DOF system to show how the loss factor varies with time for a transient hit. It also showed that the theoretical coupling coefficients were off by more than 150% when a double hit occurs. Experiments were conducted to check for the effects of frequency resolution and frequency bandwidth on the estimated coupling loss factors. An increase in the damping levels of the plates caused the number of negativities in the "apparent time varying coupling loss factor" estimates to decrease while simultaneously decreasing the time taken to reach an asymptotic value. Possible reasons for the occurrence of negative coupling loss factors were discussed

    Influence of emotions on consumer buying behavior

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    Consumer behavior is always uncertain and rational. The complex black box of consumer is a chal-lenge to the marketers and researchers across the world for its nature and tendency to change within no time. Consumer responses towards different marketing programs cannot be same and hence differ by means of its actions which are emotional and always stated as irrational. There are different emo-tional chords of consumers targeted by marketers in order to generate sales and managing effectively the marketing program. Present study is an attempt to investigate the role of emotions on FMCG pur-chases. The study highlighted the relevant emotions in consumer purchases of FMCG products with the help of factor analysis and was conducted in north India to serve the purpose of analyzing the role of emotions in FMCG purchases. Research paper Reference to this paper should be made as follows: Soodan, V., Pandey, A. C.(2016). “Influence of emotions on consumer buying behavior: A study on FMCG purchases in Uttarakhand, India”, Journal of Entrepreneurship, Business and Economics, Vol. 4, No. 2, pp. 163–18

    Risk Visualization: A Mechanism for Supporting Unstructured Decision Making Processes

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    The premise of this paper is that risk visualization has the potential to reduce the seemingly irrational behavior of decision makers. In this context, we present a model that enhances our understanding of visualization and how it can be used to support risk based decision making. The contribution of our research stems from the fact that decision making scenarios in business are characterized by uncertainty and a lack of structure. The complexity inherent in such scenarios is manifested in the form of unavailability of information, too many alternatives, inability to quantify alternatives, or lack of knowledge of the payoff matrix. This is particularly prevalent in domains such as investment decision making. Rational decision making in such domains requires a careful assessment of the risk reward payoff matrix. However, individuals cope with such uncertainty by resorting to a variety of heuristics. Prior decision support models have been unsuccessful in dealing with complexity and nuances that have come to typify such heuristic based decision making

    Flow Turbulence And Information Quality

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    A crucial aspect of managing the corporate information resource is the ability to assess and maintain information quality.  This paper proposes criteria for defining and measuring information quality based on established parameters of information flow.  We develop a conceptual model linking information flow metrics and information qualities.  The basic premise of the model is that changes in flow metrics affect the usefulness criteria of information, which in turn impact information quality.  The usefulness criteria of information are based on established accounting standards.  This mapping of flow metrics to information quality is a necessary and critical step towards the development of a robust instrument for quality assessment.  The implications of the proposed model for managing information flows resulting from business processes are discussed

    Electronic Commerce, the Next Frontier for AI Research

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