2,131 research outputs found

    Performance Implications of Diversification in Professional Service Firms: The Role of Synergies

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    There is growing interest in the Professional service firms because they are seen as archetype of the knowledge-based economy. In this study we look at under researched area of exploitation of synergies in professional service firms and its implications for performance. Overcoming the uni-dimensional nature of extant studies, we examine the performance implications of diversification along the twin dimensions of services they offer and the knowledge of the industry domain of their clients. We hypothesize that moderate levels of coherence in these dimensions lead to improved performance while excess coherence in these domains lead to diminished performance. These predictions are tested and supported by data from the Indian IT industry which is synonymous with emergence of knowledge economy in India. Our study thus contributes to the theory of diversification of professional service firms.

    Measuring Institutional Relatedness

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    Firms in most emerging economies are engaged in seemingly un-related activities. This is particularly observed in the case of business groups which dominate the landscape of these economies. Initially, diversification in emerging economies that was not based on product or technological considerations was considered value reducing. However, according to the new emerging consensus unrelated diversification is a strategic response to the institutional voids that exist in such economies. Despite major breakthroughs in conceptualizing this institutional relatedness, the empirical support for this concept has come only through case studies and hence is not generalizable. Creating an appropriate measure of institutional relatedness is a challenge because it has to take into account the .unique and invisible. nature of institutional relatedness. An appropriate measure should capture the myriad reasons used by firms to combine various businesses in emerging economies as a response to various institutional voids, without giving undue importance to any specific rationale. Besides, the measure should not be a fixed value; it should be allowed to change to help gauge the impact of institutional transitions on relatedness. Finally, it should provide for the uniqueness of each firm when it ventures into areas not tried by other firms. In this paper we purport to address this lacuna in research by proposing an empirically implementable measure for institutional relatedness having the features described above. We also show that the empirical estimates for India of our measure of relatedness are in consonance with the tendencies observed by studies using the case-study method and seem to be linked with the institutional transitions that have been observed in recent years.

    Empirical Assessment of Coherence in Information Technology Firms

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    Coherence is the ability to discover new – potentially profitable – combinations of various types of knowledge assets where complementarity is the basis for relevant combinations. Assets are considered complementary if doing (more of) any one of them increases the returns to doing (more of) others. Despite its strategic importance, few studies have addressed the issue of coherence in the Information Technology (IT) industry. This paper develops a novel methodology assess the extent of complementarity and coherence in the IT firms grounded in ‘sensemaking’, evolutionary economics, and strategic management. This paper uses managerial perspective for defining businesses. Managers and IT experts identify a typical IT firm based on the dimensions of applications (verticals) and specializations (service lines). Another feature of this paper is the use of survivor principle for assessing complementarity. The results on complementarity suggest that in case of applications, the boundaries between Transport & Ports and Airlines & Railways are getting blurred and these could become a generic combination. Similarly, in case of specializations Software maintenance migration and RDBMS, Datawarehousing & Datamining could become a generic combination. The results also suggest that there is substantial scope for improvement in coherence in both applications and specializations. Analysis of coherence also indicates greater fungibility of knowledge in applications than knowledge in specializations. Another finding is that the IT firms retain coherence with large number of applications but not with large number of specializations. Finally, as the number of applications and specializations reach a critical limit, the average coherence shows a definite decline.

    Customized Audit Approach to Achieve User Desired Control over Cloud Data

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    Cloud computing is the mainly used technique in the modern days in order to avoid the problems in the storage of the data in online to access the data from anywhere. In this paper, traditionally we will be utilizing a method based on probabilistic query and periodic verification for improving the performance of audit services. By using these methods, we will be improving the effectiveness of verification of storage data and decrease the storage space for extra data. There will not be any user-desired control in the data retrieval provided by these methods. Therefore, to overcome this problem we will be using object-centered method that enables enclosing our logging mechanism collectively with user’s data and policies. To support user’s control, we also present distributed auditing mechanisms by which we will be observing efficiency and the effectiveness of the proposed approach

    Evaluating the LRFD Factor for Cold-formed Steel Compression Members

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    This paper summarizes recent work to determine if the LRFD resistance factor for cold-formed steel compression member s can be increased above its current value of φ c =0.85. An experimental database of 675 concentrically loaded columns with plain and lipped C-sections, plain and lipped Z-sections, hat sections and angle sections, including members with holes was compiled. The predicted strength of each specimen was calculated with the AISI-S100-07 Main Specification and Direct Strength Method (DSM). Test-to-predicted strength statistics were employed with the first order second moment reliability approach in AISI-S100-07 Chapter F to calculate the resistance factors. The observed trends demonstrate that DSM is a more accurate strength predictor than the current Main Specifica tion, especially for columns with partially effective cross sections. Serious consideration should be given to replacing the Main Specification with DSM, which would provide improved prediction accuracy and a viable rationale for increasing the resistance factor. The test-to-predicted strength ratios for columns with plain and lipped angle cross-sections exhibit a high coefficient of variation and b ecome increasingly conservative with increasing global slenderness. Fundamen tal research on the mechanics of angle compression members is needed to improve existing design methods

    Application of A Distributed Nucleus Approximation In Grid Based Minimization of the Kohn-Sham Energy Functional

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    In the distributed nucleus approximation we represent the singular nucleus as smeared over a smallportion of a Cartesian grid. Delocalizing the nucleus allows us to solve the Poisson equation for theoverall electrostatic potential using a linear scaling multigrid algorithm.This work is done in the context of minimizing the Kohn-Sham energy functionaldirectly in real space with a multiscale approach. The efficacy of the approximation is illustrated bylocating the ground state density of simple one electron atoms and moleculesand more complicated multiorbital systems.Comment: Submitted to JCP (July 1, 1995 Issue), latex, 27pages, 2figure

    Investigation of structural, magnetic and optical properties of rare earth substituted bismuth ferrite

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    Polycrystalline BiFeO3 and rare earth substituted Bi 0.9R0.1FeO3 (BRFO, R=Y, Ho and Er) compounds were prepared by rapid solid state sintering technique. Structural phase analysis indicated that all the compounds stabilized in rhombohedral structure (R3c space group) and a small orthorhombic phase fraction was observed in BRFO compounds. From the Raman spectra results, the changes in the phonon frequencies (A1) and line widths suggested lattice distortion in the BRFO compounds as was evidenced in the XRD analysis. Compared to the linear variation of magnetization with magnetic field (M-H) shown by BFO, an obvious M-H loop was observed in BRFO compounds which could be due to the suppression of space modulated spin structure and was explained on the basis of weak ferromagnetism and field induced spin reorientation. UV-Vis spectroscopy evidenced a change in local FeO6 environment due to shift in the 6A 1g→4T2g energy transition band. BRFO compounds with improved remnant magnetization and coercive field are applicable for magnetoelectric devices

    Zero resource speech synthesis using transcripts derived from perceptual acoustic units

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    Zerospeech synthesis is the task of building vocabulary independent speech synthesis systems, where transcriptions are not available for training data. It is, therefore, necessary to convert training data into a sequence of fundamental acoustic units that can be used for synthesis during the test. This paper attempts to discover, and model perceptual acoustic units consisting of steady-state, and transient regions in speech. The transients roughly correspond to CV, VC units, while the steady-state corresponds to sonorants and fricatives. The speech signal is first preprocessed by segmenting the same into CVC-like units using a short-term energy-like contour. These CVC segments are clustered using a connected components-based graph clustering technique. The clustered CVC segments are initialized such that the onset (CV) and decays (VC) correspond to transients, and the rhyme corresponds to steady-states. Following this initialization, the units are allowed to re-organise on the continuous speech into a final set of AUs in an HMM-GMM framework. AU sequences thus obtained are used to train synthesis models. The performance of the proposed approach is evaluated on the Zerospeech 2019 challenge database. Subjective and objective scores show that reasonably good quality synthesis with low bit rate encoding can be achieved using the proposed AUs
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