Journal of Business and Management Sciences

ISSN (Print): 2333-4495

ISSN (Online): 2333-4533

Website: http://www.sciepub.com/journal/JBMS

Special Issue "Multivariate Techniques and Forecasting Techniques with Data Interpretations in Business Models: Applications and Cases"

A special issue of Journal of Business and Management Sciences

Deadline for manuscript submissions: (November 30, 2014)

Special Issue Editor(s)

Chief Guest Editor

Dr. Monalisha Pattnaik
PG. Department of Business Administration, Utkal University, Bhubaneswar, Odisha, India-751004
Email: monalisha_1977@yahoo.com, monalisha1977@gmail.com

Special Issue Information

The Special Issue on “Multivariate Techniques and Forecasting Techniques with Data Interpretations in Business Models: Applications and Cases” of Journal of Business and Management Science (JBMS) aims to present new and innovative contributions in Statistical theories, applications and case studies, from a wide spectrum of academics and practitioners. This special issue spans the traditional functional areas of Business, including Production/Operations Management, Business Processes, Quantitative Economics, Accounting, Finance, Marketing, Human Resource Management, Business Administration, General Management, Commerce, Statistics, Mathematics and International Business. It also incorporates applications from the related business models. It is often felt that people, though apply different multivariate and forecasting techniques to solve different statistical business models yet they lack the fundamental understanding to frame hypothetical inference and managerial interpretation. This special issue attempts to explore the substantiality and fundamentality associated with the techniques of multivariate and forecasting to enable managers, researchers, academicians, practitioners, data analysts, statisticians and mathematicians to handle and interpret data accurately and efficiently with innovative and interpretative approach. The dimensions of multivariate techniques are manifold. They have a wider applications in the disciplines such as Marketing, Production Research, Human Resource, Finance, General Management, Economics, Statistics, Mathematics, Commerce etc.. In today’s competitive and dynamic business environment maintaining an equilibrium of demand and supply of products is becoming a dire need gaining competitive advantage in the industry also requires the proper estimation of the manpower requirements within the organization. So effective functioning of the organization is highly dependent on different forecasting techniques to reduce the chances of risk, failure and uncertainty. Research is the all pervasive key and the brain for decision making in any organization. The subject of business models is concept based and hence and need a capsule and itemized set of concepts and cases. This special issue contains in depth coverage of the concepts, cases and techniques of research methodology, data collection and presentation, design and analysis of experiments, sampling methods, distribution, framing inference, testing procedures, comparison, interpretation and managerial decision.

This special volume of the JBMS on the theme “Multivariate Techniques and Forecasting Techniques with Data Interpretations in Business Models: Applications and Cases” aims to present the recent advances in multivariate and Forecasting Techniques with data interpretation and managerial decision to solve the real life problems to the broader in different business models in addition to applications and cases of management research community. It encourages exchange, cooperation and collaboration among business, industry and Government. This special issue encompasses and bridges the following fifteen broad statistical techniques through theories, applications, and case studies.

Keywods

  • • Simple Tabulation and Testing of Dependence through Cross Tabulation
  • • Cases on Chi Square Test of Goodness of Fit
  • • Applications and Interpretations on ANOVA (One Way/ CRD, Two Way/ RBD, LSD)
  • • Managerial Decision in Association and Causation between the Variables through Correlation
  • • Estimation and Prediction through Regression and Curve Fitting
  • • Logistic Regression Analysis for Classification and Prediction
  • • Data Reduction through Factor Analysis
  • • Discriminant Analysis for Classification and Prediction
  • • Designing of Product through Conjoint Analysis
  • • Positioning in Target Market through Multi-Dimensional Scaling
  • • Market Segmentation by Cluster Analysis
  • • Structural Equation Modeling for Complex Models
  • • Applications of One Sample or Two Samples Parametric Test like: t Test, F Test, Z Test, Chi Square Test of Variance
  • • Cases on Distribution Free Non-Parametric Tests: Runs Test, Sign Test, Mann Whitney U Test, Kolmogorov-Smirnov Test, Wilcoxon Test, Kruskal-Wallis Test, Spearman’s Rank Test, Chi- Square Test, Cochran Test, McNemar Test, Median Test
  • • Forecasting Analysis in Business models: Trend Analysis, Seasonal Variation, Exponential Smoothing, Delphi Technique

Published Papers

   

Special Issue "Business Education – Pedagogical practices"

A special issue of Journal of Business and Management Sciences

Deadline for manuscript submissions: (September 30, 2014)

Special Issue Editor(s)

Chief Guest Editor

Hong Yuh Ching
Centro Universitário da FEI, SBC, Brazil
Email: hongching@fei.edu.br

Co- Editor

Dan Danuletiu
"1 Decembrie 1918" University of Alba Iulia, Romania
Email: dan.danuletiu@gmail.com

Guest Editor

Guillermo Asper
Universidade de Brasilia, Brazil
Email: Guillermo.Asper@gmail.com

Special Issue Information

In an article written by Jon Meacham to Time magazine in October, 2013, 36% of college students in a 2011 study did not show any significant cognitive gains over four years and ? proportion of employers surveyed said they had trouble finding qualified college graduates to hire.
If we are serious about preparing the undergrad students of Business to succeed in the job market, we should not require that they memorize facts and repeat them on demand. We should rather provide them with opportunities to interact with content, think critically about it and use it to create new information. Are the universities being able to develop the competences and equip the students with skills sets throughout the undergrad course that help them succeeding outside of school?
To solve this issue it is important to discuss the contemporary practices and methodologies applied in the Business education of improving the quality of higher education. In a Special Issue of this Journal, we plan to deal with both theoretical studies and empirical works or experiments applied in the classrooms.

Keywods

  • Design thinking,
  • Conceptual maps,
  • Project based learning,
  • Innovation,
  • Project management,
  • Competency-based education.

Published Papers

   

Special Issue "Emerging Trends in Production Research: Concepts and Cases"

A special issue of Journal of Business and Management Sciences

Deadline for manuscript submissions: (September 01, 2014)

Special Issue Editor(s)

Chief Guest Editor

Dr. Monalisha Pattnaik
Department of Business Administration, Utkal University, Bhubaneswar, Odisha, India
Email: monalisha_1977@yahoo.com, monalisha1977@gmail.com

Guest Editor

Er. Gopal Prasad Roy
Support Services and Dam Safety, Govt. of Odisha, Department of Water Resources, Bhubaneswar, Odisha, India
Email: gopal_760@rediffmail.com

Dr. Purmina Nayak
Department of Higher Education, Bhubaneswar, Odisha, India
Email: purnimadas1990@gmail.com

Special Issue Information

The aim of this special issue is to put forth the state-of-the art research outcomes in the area of Production Research for the analysis, design, co-ordination, control of manufacturing and service system operations. Modern production firms witness tremendous pressures while striving to become more innovative in their usage of leading-edge cost reduction paradigms such as cost-driven pricing which is difficult to achieve in the volatile competitive market. The theme of this issue is relatively broader and pervasive in the sense that it includes the analysis of cutting edge and future proof production technology at all levels of production planning and control. The fundamental approach would be seeking for the emerging trends in production research in terms of supply chain dynamics, cost optimization with resource and cost constraints, gaining competitive advantage through operational efficiency, integrated productivity, quality models and their trend analysis, recent developments in production research with the application of quantitative techniques, optimization techniques (through advanced software applications) for managerial decision-making process. Manuscripts that focus on the functional and operational aspects of production research are invited. Studies that investigate emerging practices, concepts and cases related to in-bound production system as well as out-bound production system are also invited. This study will be an extensive framework for integrating multiple disciplines such as Production and Operations Management, Decision Sciences, Operations Research, Supply Chain Management, Logistics and Inventory Management, Total Quality Management, Resource Management, Cost Management and Business Trend analysis. Manuscripts that focus on the operations of other non-manufacturing related service systems will also be considered as long as they demonstrate that these operations are strongly related to manufacturing systems operations in terms of their characteristics and the methodologies used to analyze them.

Keywods

  • • Production Planning, Management and Control.
  • • Design and Optimization of Manufacturing and Service Systems.
  • • Analytical Approaches to Maximize Returns on Investment.
  • • Planning for Bridging the Widening gap between Demand and Supply.
  • • Integrated Productivity and Quality Models and their Analysis.
  • • Pricing Mechanisms, Cost Analysis and Performance Measurement for Supply Chain Management.
  • • Integrated Logistics and Transportation Models.
  • • Designing Inventory Models.
  • • Suppliers Selection Strategies.
  • • Designing Cost cum Time Effective Distribution Channels.
  • • Product Dynamics and Demand Forecasting.
  • • Vehicle Routing and Scheduling

Published Papers