<p>Shiv Nadar University is a comprehensive, multidisciplinary, research-focused, and student-centric University offering a full range of academic programs at the undergraduate, postgraduate and doctoral level. With state-of-the-art infrastructure, the University comprises of academic wings, sophisticated labs, international standard sports facilities, amphitheaters, auditorium, conference rooms and smart classrooms. The University&rsquo;s goal is to become internationally recognized for the quality of its research and creative endeavors and their applicability to improving quality of life, generating new insights and expanding the boundaries of human knowledge creativity. Committed to excellence in teaching, research and service, the University aims to serve the higher education needs of India and the world beyond.</p>

Shiv Nadar University

Decision Sciences, Operations Management, and Information Systems

World University root node

(SME) School of Management and Entrepreneurship

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Journal of Information Technology Case and Application Research

Trekking the globe with the World IT Project

Purpose: The purpose of this paper is to provide lean and six sigma professionals and researchers of tomorrow with Ten Commandments of Lean Six Sigma (LSS). Design/methodology/approach: The Ten Commandments of LSS are based on several years’ experience of four authors who act as researchers, LSS Master Black Belts, consultants, practitioners and trainers on various topics of Lean, Six Sigma and general quality management and continuous improvement. Findings: The Ten Commandments in our opinion include: alignment of LSS initiative with organisational strategy, LSS project selection and prioritisation, selection of top talent for the project execution, leadership for LSS, effective training and design of appropriate curriculum for different LSS roles, development of reward and recognition system, LSS sustainability, Linking LSS with Organisational Learning and Innovation, Linking LSS with Environmental Management System Standards and finally LSS and Big Data. Research limitations/implications: The key features outlined in this paper are based on the practitioners of LSS. The authors of this article are planning to pursue a global study to critically evaluate these commandments by various practitioners of LSS. Originality/value: The senior managers and executives of various businesses can use these commandments of LSS as a guide to achieve and sustain competitive advantage. © 2018, Emerald Publishing Limited.

International Journal of Productivity and Performance Management

Ten commandments of Lean Six Sigma: a practitioners’ perspective

Opportunistic networks have gained popularity, when we come to conclusion that there are several things which MANET can't handle. Delay tolerant is one of the concepts of opportunistic network in which we connect those nodes which are actually not connected. In our work we are arranging nodes in a hexagonal patterns, the one main node in this pattern is moves in the fixed area i.e. the region that is covered by the ship. This node receives signals from the ship, satellite and sonar device in turn the node amplifies the received signal. Our work is conducted using Spray and wait routing protocol and enhances the protocol. The opportunistic network environment tool is used for simulation. © 2016 IEEE.

Proceedings of 2016 Online International Conference on Green Engineering and Technologies, IC-GET 2016

Improved spray &amp; wait routing protocol for under water acoustic network

In the vast majority of modern technological and knowledge-intensive production systems, human agency and the structure of social interactions among the human individuals are implicated in each other. While the force of agency drives an individual’s urge to introduce innovation and novelty into production, the force of the structuring interactions demands shared expectations and mutual adaptation for co-creation. In an organizational context, when the objective is to manage production work that is governed by the concurrent interplay of both these forces, one might ask whether the cumulative output of each could be reconciled through the emergence of a stable balance between them over time. In this article, I introduce a framework to study the conditions under which this balance can be attained. Based on a real-life application, I show, in particular, that, while a direct realization of the condition is unlikely in practice, it is possible, nevertheless, to establish indirectly the condition through adjustments of certain parameters relevant to the dynamics of a networked system. The work contributes to the growing body of literature that explores the role of coordination between self-driven activities of individuals and their structure-mediated interactions in an underlying social context. © 2017 Taylor & Francis.

Journal of Mathematical Sociology

Dynamics of knowledge-intensive production: An agency-structure framework

This article introduces a number of methods that can be useful for examining the emergence of large-scale structures in collaboration networks. The study contributes to sociological research by investigating how clusters of research collaborators evolve and sometimes percolate in a collaboration network. Typically, we find that in our networks, one cluster among the leading ones eventually wins the growth race by percolating through the network, spanning it and rapidly filling up a significant volume of it. We show how this process is governed by the dynamics of cluster growth in the network. When operating in a percolating regime, this class of networks possesses many useful functional properties, which have important sociological implications. We first develop the methodological tools to perform a study of the intrinsic clustering process. Then, to understand the actual large-scale structure formation process in the network, we apply the theoretical methods to simulate a number of realistic scenarios, including one based on actual data on the collaboration behavior of a sample of researchers. From the perspective of social science research, our methods can be adapted to suit the application domains of many other types of real social processes. © 2015, © The Author(s) 2015.

Sociological Methods and Research

Examining the Emergence of Large-scale Structures in Collaboration Networks: Methods in Sociological Analysis

The paper shows the contribution of evolutionary techniques in the field of optimization. Evolution is a technique which is based on real-world scenarios. It works on Darwin's theory and many algorithms have been proposed in this field to optimize the results. Each algorithm proposed has its advantages and disadvantages and a new technique is brought to overcome the drawbacks of the previously proposed technique. In this paper, a new approach is proposed based on SFLA and simulated annealing which works on memetic and PSO approaches along with basic temperature idea of simulated annealing. The graphs are attached to show the various results obtained. It is shown that it is better than other algorithms in various factors. © 2016 IEEE.

11th International Conference on Industrial and Information Systems, ICIIS 2016 - Conference Proceedings

An improved evolution based optimization algorithm originated from the concept of SFLA and simulated annealing

In recent years, the information systems research community has been experiencing an exciting time discovering and coming to grips with many unexplored or untapped opportunities for research that lie at the intersection of the disciplines of information systems and technology, big data, analytics, and data science. In this article, some of the critical aspects of the big data problem are discussed, and their importance as well as relevance to information systems research is shown. Also proposed are a number of research problems in this area that interested information systems scholars can address to delve more deeply into the field as well as to generate further active interest of the subject within the information systems community. © 2016 Jaideep Ghosh.

Journal of Global Information Technology Management

Big data analytics: A field of opportunities for information systems and technology researchers

In a collaboration network environment for software development, it is a highly desirable managerial objective to establish and maintain a stable balance of ongoing engineering activities and workload distributions among the project engineers. Grounded on a theoretical framework and associated simulation models to understand the emergence of this balance, we show that conditioning the development process to remain confined in a stable region of the dynamics could be delicate affair in real applications. Nevertheless, we demonstrate that it is technically feasible to control ongoing development by suitably restricting relevant parameters of the production dynamics, which amounts to achieving a stable balance between self-directed and peer-induced work efforts expended by the project engineers in building the final software product. Strategies for realizing this condition have important implications for managerial decision-making in collaborative software development.

AMCIS 2016: Surfing the IT Innovation Wave - 22nd Americas Conference on Information Systems

Balancing self-directed and peer-induced efforts in an information technology collaborative software development: A network approach

A shortage of scientifically trained manpower in India today is largely due to the fact that fewer and fewer students are being attracted to pursue higher studies in basic science, as current science enrolment data reveal. Ultimately, because of this shortage, developments in science and technology and science-based industry are slowing down, and the basic qualities of material life are continually being compromised. Several other countries are also contending with this problem, but India’s case has largely remained underrepresented in current research. To improve the situation, a number of competitive scholarship programs have been started in India to attract young students to pursue higher studies in science in greater numbers. For one such program, using a sample of more than 8,600 high-school students, we examine how a number of socioeconomic factors govern students’ decision to pursue science higher studies in the country. We find that student age, gender, family income, exam scores, use of computers and the internet, travels, and possession of modern consumer goods at home contribute to students’ increased mobility in search of better educational facilities needed for the preparation of a career in science. Our results have implications for schools and teachers, globalization, scientific literacy, and the general prosperity of life in the country. © 2014, Springer Science+Business Media Dordrecht.

Social Indicators Research

Higher Education in Basic Science and Socioeconomic Characteristics of Students’ Life in India: An Exploratory Study

Purpose: The purpose of this paper is to develop data envelopment analysis (DEA) models and algorithms for efficiency improvement when the inputs and output weights are restricted and there is fixed availability of inputs in the system. Design/methodology/approach: Limitation on availability of inputs is represented in the form of constant sum of inputs (CSOI) constraint. The amount of excess input of an inefficient decision-making unit (DMU) is redistributed among other DMUs in such a way so that there is no reduction in their efficiency. DEA models have been developed to design the optimum strategy to reallocate the excess input. Findings: The authors have developed the method for reallocating the excess input among DMUs while under CSOI constraint and parameter weight restrictions. It has been shown that in this work to improve the efficiency of an inefficient DMU one needs the cooperation of selected few DMUs. The working of the models and results have been shown through a case study on carbon dioxide emissions of 32 countries. Research limitations/implications: The limitation of the study is that only one DMU can expect to benefit from the application of these methods at any given time. Practical implications: Results of the paper are useful in situations when decision maker is exploring the possibility of transferring the excess resources from underperforming DMUs to the other DMUs to improve the performance. Originality/value: This strategy of reallocation of excess input will be very useful in situations when decision maker is exploring the possibility of transferring the excess resources from underperforming DMUs to the other DMUs to improve the performance. Unlike the existing works on efficiency improvement under CSOI, this work seeks to address the issue of efficiency improvement when the input/output parameter weights are also restricted. © 2016, © Emerald Group Publishing Limited.