The Role of Coaching in Enhancing Employee Performance
Measuring Customer Satisfaction of Hotel Industry in Bangladesh: A SERVQUAL and Structural Equation Model (SEM) Approach
Strategies for Building Supply Chain Resilience, Law Enforcement, and Sustainability during Black Swan Events
Perceptions of Climate Change and Barriers to Adaptation along the Teesta River in Bangladesh
Socioeconomic Effects of Village Loan Savings Initiatives on Empowering Rural Communities - Case Study of the Impact of VLS Program in T/A Chimwala, Malawi
Efficiency Analysis of Commercial Banks in India: An Application of Data Envelopment Analysis
A Study on Factors Influencing Youngsters’ Perceptions towards Choice of Investment Avenues
A Study of Generic Intertextuality in Corporate Press Releases
A Study on Factors Affecting Purchase Decision of Young Adults after GST Implementation in India – With Special Reference to FMCG Products
A Review of Commercial Banks’ Role in Public Sector Transparency and Accountability in the Nigerian Economy
Soft Systems Modelling of the New Product Development Process - A Case Study
An Emerging Training Model for Successful Lean Manufacturing – An Empirical Study
A Qualitative Performance Measurement Approach to New Product Development
Brand Power Through Effective Design
Intellectual Venture Capitalists: An Emerging Breed of Knowledge Entrepreneurs
Banking sector plays a prominent role in the development of Indian economy. Banks were taken initiatives for expansion of branches in rural areas over a period of time. Especially, commercial banks played a vital role to enhance earnings of poorer sections of the society. “Financial inclusion is the process of ensuring access with quality of financial services provided to vulnerable groups such as weaker and low income groups (Rajan & Zingales, 2003).” According to K. C. Chakrabarty (2012), in general, “financial inclusion is the process of ensuring access to appropriate financial products and services needed by all sections of the society. Particularly, weaker sections and low income groups get these services in a fair and transparent manner at an affordable cost.” This study mainly concentrates on the need of banking services and product innovation for inclusive growth in rural economy.
This study examines the impact of job stress on employee performance. The sample is drawn from a pool of sales professionals who completed a questionnaire made up of valid and reliable instruments that measured each of the variables studied. The findings indicate that the personnel have higher levels of job stress and higher levels of job performance. This study in some way contributed towards understanding the psychological perspective of employees and also understanding ways by which a job can be redesigned.
The study analyzes the market behavior and causality effects between spot and futures prices in Indian commodity markets. The pattern is quite different for different commodities. Commodities that suffer from chronic backwardation should be analyzed in more detail, in order to understand the causes, and controls (known as backwardation limits) should be instituted for the same. Causality in commodities markets can be used to either hedge or speculate price movements: if changes in spot prices drive changes in futures prices, efficient hedging strategies can be formulated; whereas, if changes in futures prices drive changes in spot prices, efficient speculation strategies can be formulated. Further, causality can be used in forecasting commodity spot and futures prices.
The main goal of this study is to investigate the profitable index among the bulk of indices from Bombay Stock Exchange (BSE), and to obtain a Support Vector Machine (SVM) classifier function to classify the indices on the basis of adherence level. The Dynamic Rough Set Theory (DRS) is used to identify the most important attributes and induce decision making with the support of the profitable indices from 302 samples of BSE. To increase the efficiency of the classification process, “Dynamic Rough Set using Machine Learning Algorithm” (DRSMLA), is introduced and implemented to discritize the data, then rough set reduction technique is applied to find all reduced sets of the data which contains the minimal subset of attributes, that are associated with class label for classification. Finally, the generated class labels are used to predict best indices for long term, medium term and short term investors by the implementation of SVM classification technique. A comparison between the obtained results using DRSMLA with ID3 decision tree, discriminant analysis, neural networks and rough set theory classifier algorithms has been made. DRSMLA method shows a higher overall accuracy rates and lower execution time consumption.
This paper applies the concept of Corporate Social Responsibility (CSR) to sustainable development. In doing so, the article develops insights into a development crisis Nigeria is faced with, paying particular attention to environmental issues using the case of the oil-rich Niger Delta, and assesses the effectiveness of CSR in achieving the objectives of sustainable development. The article examines the failure of government towards addressing the development of the Niger Delta region and advocates investment by corporate organizations in the region to directly impact the host communities. Central themes of the paper include economic and development sustainability, environmental degradation and concern for the welfare of the society. The paper also develops the context of the case, for the role of businesses in helping the country achieve an optimum level of sustainable development, using their CSR philosophies.
Concern for the welfare of host communities of the oil MNCS have consequences for the corporate organizations, including the re-investment of part of their profits, to preserve and develop their host communities.
The paper concludes with the need to establish a practicable institutional structure to implement CSR as mandatory for corporate organizations in not only the Niger Delta, but also everywhere else in the country.