Sidhartha S. Padhi
Bio: Sidhartha S. Padhi is an academic researcher from Indian Institute of Management Kozhikode. The author has contributed to research in topics: Supply chain & Common value auction. The author has an hindex of 16, co-authored 35 publications receiving 876 citations. Previous affiliations of Sidhartha S. Padhi include Indian Institute of Technology Kharagpur & Aera Energy.
TL;DR: In this article, a conceptual framework is proposed to classify various factors along the triple bottom line pillars of sustainability issues in the context of sustainable supply chain management (SSCM), and a comprehensive thematic analysis was performed on 1068 filtered articles from 2000 to 2015.
TL;DR: In this paper, the authors used a psychometric meta-analysis to synthesize the results from 167 effect sizes, collected from 129 articles, to understand the impact of various types of sustainability practices (i.e., environmental, social, and combined) on firm performance.
Abstract: In recent years, many studies link supply chain sustainability practices to firm performance, since more and more firms are implementing sustainable practices in their manufacturing/services supply chains. This study uses a psychometric meta-analysis to synthesize the results from 167 effect sizes, collected from 129 articles, to understand the impact of various types of sustainability practices (i.e., environmental, social, and combined) on firm performance (Financial and Operational). A sub-group analysis, using industry (manufacturing/service) and economy (developed/developing), was also performed to study the relative strength of sustainability-firm performance relationships in respective categories. The study confirms a positive association between the various aspects of sustainability and firm performance and finds that the strength of sustainability-firm performance relationships grows over time. Findings also suggest a stronger relationship between sustainability-firm performances in manufacturing industries than in service industries. This study provides interesting insights for policymakers and companies in various economies, and it augments the understanding of the impact of sustainable supply chain practices on firm performance.
TL;DR: In this article, a more objective methodology to classify and position commodities (works and services) in the Kraljic portfolio matrix (KPM) in a continuous scale around the two dimensions of supply risk and profit impact is proposed.
TL;DR: In this article, a binary goal programming model is proposed to solve the multi-objective decision-making problem of contractor selection in government departments in various countries and in the Rural Development Department in India.
TL;DR: In this paper, an ANN based forecasting model using the past profit records of hotel commodities is developed for fixing quota and proper revenue management under uncertainty, and a case study of a hotel has been taken up to demonstrate the proposed approach.
TL;DR: This book by a teacher of statistics (as well as a consultant for "experimenters") is a comprehensive study of the philosophical background for the statistical design of experiment.
Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON
TL;DR: In this article, the authors analyze data on the sexual behavior of a random sample of individuals, and find that the cumulative distributions of the number of sexual partners during the twelve months prior to the survey decays as a power law with similar exponents for females and males.
Abstract: Many ``real-world'' networks are clearly defined while most ``social'' networks are to some extent subjective. Indeed, the accuracy of empirically-determined social networks is a question of some concern because individuals may have distinct perceptions of what constitutes a social link. One unambiguous type of connection is sexual contact. Here we analyze data on the sexual behavior of a random sample of individuals, and find that the cumulative distributions of the number of sexual partners during the twelve months prior to the survey decays as a power law with similar exponents $\alpha \approx 2.4$ for females and males. The scale-free nature of the web of human sexual contacts suggests that strategic interventions aimed at preventing the spread of sexually-transmitted diseases may be the most efficient approach.
•01 Jan 1994
TL;DR: In this paper, a natural resource-based view of the firm is proposed, which is composed of three interconnected strategies: pollution prevention, product stewardship, and sustainable development, and each of these strategies are advanced for each of them regarding key resource requirements and their contributions to sustained competitive advantage.
Abstract: Historically, management theory has ignored the constraints imposed by the biophysical (natural) environment. Building upon resource-based theory, this article attempts to fill this void by proposing a natural-resource-based view of the firm—a theory of competitive advantage based upon the firm's relationship to the natural environment. It is composed of three interconnected strategies: pollution prevention, product stewardship, and sustainable development. Propositions are advanced for each of these strategies regarding key resource requirements and their contributions to sustained competitive advantage.
TL;DR: In this article, the impact of eight dimensions of green supply chain management (GSCM) on economic, environmental and social performance, which are the three dimensions of corporate sustainability, is explored.
Abstract: The purpose of this paper is to explore the impact of eight dimensions of green supply chain management (GSCM) on economic, environmental and social performance, which are the three dimensions of corporate sustainability. The eight dimensions covered in this study are: green purchasing, green manufacturing, green distribution, green packaging, green marketing, environmental education, internal environmental management and investment recovery.,The relationships between dimensions of GSCM and sustainability performance are tested by using a plant-level survey. A proposed research model and hypotheses are tested by using cross-sectional face-to-face and e-mail survey data collected from manufacturing firms in Turkey. Structural equation modeling is used to test the proposed hypotheses.,Except for green purchasing, all GSCM dimensions are found to be related with at least one of the performance dimensions.,The results are important in highlighting the importance of GSCM in improving sustainability performance.,This paper enhances the understanding of the relationship between different dimensions of GSCM and the three sustainability performance factors. While there are very few studies examining the relationship between GSCM and corporate sustainability, this study is important in terms of exploring the effects of dimensions of GSCM applications on economic, environmental and social performance one by one, by examining these applications in the form of eight dimensions.
01 Jan 2007
TL;DR: It is concluded that the proposed approach can assist decision makers in selecting suitable R&D portfolios, while there is a lack of reliable project information.
Abstract: Making R&D portfolio decision is difficult, because long lead times of R&D and market and technology dynamics lead to unavailable and unreliable collected data for portfolio management. The objective of this research is to develop a fuzzy R&D portfolio selection model to hedge against the R&D uncertainty. Fuzzy set theory is applied to model uncertain and flexible project information. Since traditional project valuation methods often underestimate the risky project, a fuzzy compound-options model is used to evaluate the value of each R&D project. The R&D portfolio selection problem is formulated as a fuzzy zero-one integer programming model that can handle both uncertain and flexible parameters to determine the optimal project portfolio. A new transformation method based on qualitative possibility theory is developed to convert the fuzzy portfolio selection model into a crisp mathematical model from the risk-averse perspective. The transformed model can be solved by an optimization technique. An example is used to illustrate the proposed approach. We conclude that the proposed approach can assist decision makers in selecting suitable R&D portfolios, while there is a lack of reliable project information.