Papers by Satyakama Paul
Today's business world is characterized by a complex non-linear environment, non-hierarchical org... more Today's business world is characterized by a complex non-linear environment, non-hierarchical organization structures, multi-country and de-centralized operations, etc. The prominent models of decision-making that were primarily developed with the industrial economy in mind, and that viewed decision-making as a couple of linear sequential steps and "decisions given-and-decisions followed" -might not work too well. Knowledgebased economies call for developing decision-making models that represent the complexity of the present world business. Under such context, we present an alternative approach to studying management decision-makingseeking inspiration from the natural/biological systems. Bees show similar behavior in their foraging activities, as a single objective management decision-making problem. The uniqueness of the developed model lies in its ability to explain the major properties of a complex system, and the value that emergence (of a decision) brings to a company.
Automobile industry is an integral component of the South African economy. The industry contribut... more Automobile industry is an integral component of the South African economy. The industry contributes 6 to 7% to the country's economy and is occupied by major international automobile companies. In this highly competitive industry, insights into overall after sales customer satisfaction is of great value to the companies to better serve customers and retain their competitive advantage. Following established researches in the field of customer satisfaction, this paper views overall after sales customer satisfaction as a function of the various dimensions of service quality. Subsequently Multinomial Logistic Regression is used to study the effect of these dimensions of service quality on the overall after sales customer satisfaction. The results show that customers value more the technical and behavioral competencies of the service staff, rather than the physical infrastructure and physical appearance of the service staffs.
IGI Global, Dec 2013
In recent years researchers in financial management have shown considerable interest in predictin... more In recent years researchers in financial management have shown considerable interest in predicting future takeover target companies in merger and acquisition (M&A) scenarios. However, most of these predictions are based upon multiple instances of previous takeovers. Now consider a company that is at the early stage of its acquisition spree and therefore has only limited data of possibly only a single previous takeover. Traditional studies on M&A, based upon statistical records of multiple previous takeovers, may not be suitable for suggesting future takeover targets for this company since the lack of history data strongly limits the applicability of statistical techniques. The challenge then is to extract as much knowledge as possible from the single/limited takeover history in order to guide this company during future takeover selections. Under such an extreme case, the authors present a new algorithmic approach for suggesting future takeover targets for acquiring companies based on solely one previous history of acquisition. The approach is based upon methods originating from information retrieval and computational intelligence. The proposal is exemplified upon a case study using real financial data of companies from the Indian software industry.
First BRICS Countries Congress on Computational Intelligence, Sep 8, 2013
In this paper, we propose a new methodology based on the Negative Selection Algorithm that belong... more In this paper, we propose a new methodology based on the Negative Selection Algorithm that belongs to the field of Computational Intelligence (specifically, Artificial Immune Systems - AIS) to identify takeover targets. Although considerable research based on customary statistical techniques and some contemporary Computational Intelligence techniques have been devoted to identify takeover targets, most of the existing studies are based upon multiple previous mergers and acquisitions. Contrary to previous research, the novelty of this proposal lies in the methodology’s ability to suggest takeover targets for novice firms that are at the beginning of their merger and acquisition spree. We first discuss the theoretical perspective and then provide a case study with details for practical implementation, both capitalizing from unique generalization capabilities of AIS algorithms.
Seven principles of workforce management: employment security selective hiring of new personnel, ... more Seven principles of workforce management: employment security selective hiring of new personnel, self-managed teams and decentralization of decision making comparatively high compensation contingent on organizational performance extensive training reduced status distinctions and barriers, and extensive sharing of financial and performance information.
Human resources are of critical importance in organizations that aim to attain and sustain t... more Human resources are of critical importance in organizations that aim to attain and sustain their competitive advantage over rivals. Such sustained competitive advantage is most likely achieved by organizations that have policies and procedures directed towards transformation of human resources into assets. While such policies and procedures have found place in a number of Quality Assessment models. However the models are of limited use as they are limited in the provision of decision functionalities and assessment tools. In this context, this paper presents a novel theoretical approach of measuring human performance in a knowledge-based organization as a combination of three separate factors – Human, Customer, and Organization capability. In addition, a fictitious example is provided to show the
use of the proposed approach as a decision making tool in
promotion decisions.
Arxiv preprint arXiv:1110.4296, Jan 1, 2011
South Africa assumes a significant position in the insurance landscape of Africa. The present res... more South Africa assumes a significant position in the insurance landscape of Africa. The present research based upon qualitative and quantitative analysis, shows that it shows the characteristics of a Complex Adaptive Engineering System. In addition, a statistical analysis of risk measures through Value at risk and Conditional tail expectation is carried out to show how an individual insurance company copes under external complexities. The authors believe that an explanation of the coping strategies, and the subsequent managerial implications would enrich our understanding of complexity in business.
Teaching Documents by Satyakama Paul
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Papers by Satyakama Paul
use of the proposed approach as a decision making tool in
promotion decisions.
Teaching Documents by Satyakama Paul
use of the proposed approach as a decision making tool in
promotion decisions.