eChapters

Abstract
Corporate Social Responsibility (CSR) has much bigger implications for inclusive development of the any country. It reduces dependency on the government for social expenditure and helps in speedy inclusive growth. The scale of CSR emerged significantly in the last decade in India. Since business houses required doing business in the society it would be an obligation on their part to share a small portion of their profit for the betterment of society. To relate fundamental business philosophy to make CSR sharper, smarter, and focused is what really matters and is the core part of any business in the 21st business philosophy century. However, critiques are emerging on the recent Government bill on CSR which makes mandatory on the part of the companies to spend a small portion of their profit for the social causes. Many companies have invested noted share of profits in various social development sectors. Also, there is research evidence to show that CSR work of the companies have reached where government could not reach so for. However, there are some reports showing most of the companies have not even have CSR policies yet. All though various Indian corporate involved in CSR activities; it is not enough when contrast to their actual financial strength. This paper gives a solid background for the discussion about the possible role of CSR with respect to Social Inclusion

Introduction

Creativity and innovation are planned alternatives that an entrepreneur can use to promote his business. Business is a creative process. Success in business today requires constant innovation. Creating new solutions to problems, and the ability to create new products or services for a changing market, is part of intellectual capital. They also provide a company or business organization with a competitive advantage. Creativity is the basis of creativity. It is a process and skill that can be developed and managed throughout the organization.

Learning Objectives

• Describe the different types of creativity and Innovation

• Explain the process of creativity and phases of innovation

Creativity Definition

Creativity has different meanings. Many researchers have said that creativity is the generation of new ideas that include a creative process or a new solution to a problem and the original resolution of problems. It can also be said that the installation of the innovative solution is easy.

2.1 Introduction
As time passes, the customers are used to the practice of having short life for the products, which they buy and use. This is because of the globalization of business and growing global competition all over the world. The companies engaged in manufacturing and selling the products which are used at large volume by households and partly by industries, introduce new models to attract customers and to have more market share. This in turn has impacts on customer buying and retention decisions of those products. Though the companies introduce new models, they are expected to keep the prices of the products at affordable ranges so that there is always a larger customer segment to buy those products. This is like egg or chicken situation, because companies introduce many new models to out beat competition and in turn customers expect improved versions of those models in shorter time intervals. This forces companies to continuously engage themselves to come out with new models or improved models which have convergence of technologies to give maximal customer satisfaction. So, creativity in product design becomes an essential requirement of the product development teams of the companies.
2.2 Product Design
Product design aims to include the following tasks to solve the problems of the users or address expected needs of customers in a given market. These tasks are human intensive.
i. Understanding end-users’ requirements
ii. Imagining alternate product ideas to address their needs

Introduction

The advent of Industry 4.0 marks a pivotal era of transformation in the industrial sector, characterized by a fusion of technologies blurring the lines between the physical, digital, and biological spheres. This paper aims to delve into the bibliometric analysis of Industry 4.0, offering a comprehensive overview of the current state of research, predominant themes, and emerging trends within this revolutionary domain. By systematically mapping out the scholarly landscape, this study will not only highlight the intellectual contours that shape Industry 4.0 but also provide insights into the collaborative networks and influential regions propelling this field forward. Through this bibliometric scrutiny, we endeavour to discern the patterns of publication, citation trajectories, and the evolution of topics over time, thereby furnishing stakeholders with a strategic vantage point from which to foresee future directions and opportunities in Industry 4.0. This introduction sets the stage for a nuanced exploration of the intricate tapestry of research that constitutes the backbone of Industry 4.0, laying the groundwork for understanding its impact on the industrial paradigm and its potential to drive innovation, efficiency, and sustainability in the Fourth Industrial Revolution.

Abstract

Most farmers in India lack capital. They need credit at the right time, from the right agency, and in adequate amounts to be productive. From the farmer’s perspective. When a farmer applies for a loan from an Institutional Financial Agency (IFA), the lender must be convinced of the 3 R’s, 5 C’s, and 7 P’s, which indicate the economic viability of the proposed investments.

Abstract

This chapter examines how agricultural credit is a vital input for all agricultural development programmes. Private moneylenders used to be the main source of agricultural credit. However, this source was insufficient, costly and oppressive. To overcome this, a multi-agency approach involving cooperatives, commercial banks and regional rural banks has been adopted to provide cheaper, timely and adequate credit to farmers.

Introduction

In rainfed region, the rain is the only source of water which is erratic with unprecedented frequent draughts affecting fruit production in these areas. In adequate, improper water and nutrient management that has lowers down the soil fertility of orchards, especially in rainfed areas. India has fairly good progress on the horticultural crops of the world and is today the second largest producer of fruits in the world, falling behind China. However, the productivity of these fruits is significantly low as compared to other fruit growing of the countries. This is mainly reason due to undulating topography, poor soil fertility status, deep and scare ground water level are the main characteristics of rainfed areas of Jammu region. Due to ever-increasing demand of food, fruit, fuel and fodder, cultivation has been extended to marginal and smalleroded lands. These marginal and small landholders of rainfed regions are not able to sustain arable crops in long run. In addition, the income generated from such a holding is inadequate to sustain the family. 

7.1 Introduction

Agriculture production and farm incomes in India are frequently affected by natural disasters such as droughts, floods, cyclones, storms, landslides and earthquakes. Susceptibility of agriculture to these disasters is compounded by the outbreak of epidemics and man-made disasters such as fire, sale of spurious seeds, fertilizers and pesticides, price crashes etc. All these events severely affect farmers through loss in production and farm income, and they are beyond the control of the farmers. With the growing commercialization of agriculture, the magnitude of loss due to unfavorable eventualities is increasing. The question is how to protect farmers by minimizing such losses. For a section of farming community, the minimum support prices for certain crops provide a measure of income stability. But most of the crops and in most of the states MSP is not implemented. In recent times, mechanisms like contract farming and future s trading have been established which are expected to provide some insurance against price fluctuations directly or indirectly. But, agricultural insurance is considered an important mechanism to effectively address the risk to output and income resulting from various natural and manmade events. Agricultural Insurance is a means of protecting the agriculturist against financial losses due to uncertainties that may arise agricultural losses arising from named or all unforeseen perils beyond their control (AIC, 2008). Unfortunately, agricultural insurance in the country has not made much headway even though the need to protect Indian farmers from agriculture variability has been a continuing concern of agriculture policy. According to the National Agriculture Policy 2000, "Despite technological and economic advancements, the condition of farmers continues to be unstable due to natural calamities and price fluctuations". In some extreme cases, these unfavorable events become one of the factors leading to farmers suicides which are now assuming serious proportions.Agricultural insurance is one method by which farmers can stabilize farm income and investment and guard against disastrous effect of losses due to natural hazards or low market prices. Crop insurance not only stabilizes the farm income but also helps the farmers to initiate production activity after a bad agricultural year. It cushions the shock of crop losses by providing farmers with a minimum amount of protection. It spreads the crop losses over space and time and helps farmers make more investments in agriculture. It forms an important component of safety-net programmes as is being experienced in many developed countries like USA and Canada as well as in the European Union. However, one need to keep in mind that crop insurance should be part of overall risk management strategy. Insurance comes towards the end of risk management process. Insurance is redistribution of cost of losses of few among many, and cannot prevent economic loss. There are two major categories of agricultural insurance

3.1. Growth Analysis

Growth and development analysis of plants provides information related to influence of various factors either negative or positive on plant growth. The basic idea of this analysis is the estimation of crop growth at various stages and finally towards the yield. It will help us to understand the performance of a genotype as well as impact of agronomic practices on the crop at any stage of growth and also on final yield. This would also identify the factors responsible for high yield and thereby provide the basis to tailor agronomic practices. The most common parameters used in growth analysis are leaf area index, crop growth rate, relative growth rate, net assimilation rate and leaf area duration.

Comparison of different cropping systems with reference to land use and yield advantages is possible through various efficiency indices. The various cropping and farming systems practiced in an area have to be properly evaluated to decide their suitability and relative advantages. The comparisons can be made with reference to many factors viz., yield, monetary, water use efficiency, nutrient use efficiency, total dry matter production, intensity of land use etc., The cropping as well as farming systems research are being perused at national level with major focus for identification of location specific efficient systems since 1990. However, on perusal of research publications we find that the data of cropping systems are interpreted in different ways with major focus only on production and net return on hectare basis. In fact, these two aspects are not the indicator of the efficiency of a particular system. Many advances have been made in recent years to identify the efficient system for a particular location. Some of the methodologies, which are of concern to crop scientists in general and agronomists in particular, are highlighted here for ready reference to the researchers, agronomists and crop planners. Different indicators of system efficiency are as follows (Gangwar et al., 2003).

Introduction

The agricultural sector stands at a crossroads, facing the dual challenge of meeting the escalating global demand for food while grappling with the impact of climate change and an aging farming population. In this context, the empowerment of youth emerges as a beacon of hope, holding the key to transforming agriculture into a dynamic, sustainable, and innovative sector. This chapter embarks on a journey to explore the pivotal role of empowering youth in agriculture, underscoring its significance not only on a global scale but also within the vibrant context of India, notably in the state of Odisha.

ABSTRACT

The concept and nature of intellectual property have undergone a paradigm shift during the last few decades. The importance of effective IPR governance has attracted the attention of its stakeholders. Hence, this paper focuses on the role of IPR governance and management practices for improving the quality of relationships among stakeholders besides documenting current and future trends of IPR governance and management.

INTELLECTUAL PROPERTY RIGHTS – AN INTRODUCTION

Intellectual property rights refer to the privileges granted by the government to any individual or organization for creative prowess. In recent years, such rights have gained immense importance. The laws in existence for protection and enforcement of these rights are meant to foster innovation and for regulating the use of inventions.

Introduction

Artificial intelligence is an effective technology that makes it possible for computers and other devices to simulate human intellectual abilities and ability to solve problems. Comprehensive study on artificial intelligence may be traced back to Alan Turing’s development of the renowned Turing Test in the 1950s, which examined whether machines are capable of thinking. (Turing, 1950), and John McCarthy came up with the phrase “artificial intelligence” in 1955 when he organised the 1956 Dartmouth Summer AI Research Project. They suggest that “making a machine behave in ways that would be called smart if a human were doing so” is an issue with AI (McCarthy et al., 1955). Compared to humans, artificial intelligence can analyse data, both organised and unstructured, substantially faster and more accurately.

Cut greens are essential components of floral arrangements, providing structure, contrast, visual balance and supporting foliage around flowers. This chapter introduces commercially important cut foliage crops and explains their ornamental and economic significance. It covers species such as Adiantum, Aglaonema, Alocasia, Alpinia, Anthurium, Asparagus and Aspidistra, together with their cultivation requirements. Climate, shade, soil, irrigation, nutrition, weed management, pests and diseases are discussed along with harvesting, postharvest treatments, pulsing solutions and vase life. The chapter demonstrates how commercial cut-green production can complement flower enterprises and provide additional income opportunities for floriculture growers.

Dahlia is a highly valued ornamental crop recognized for its large, colourful and diverse flower forms. This chapter introduces its origin, classification, botanical characteristics, genetic diversity and commercially important varieties. It discusses propagation through seeds, tubers and other methods, together with climate and soil requirements, planting, spacing, nutrient management, irrigation and crop regulation. Staking, pinching, disbudding and other cultural operations are explained for producing quality stems. The chapter also covers major insect pests, diseases, harvesting, postharvest handling, grading and yield. Its practical approach makes it useful for commercial growers and students of ornamental crop production.

Livestock Population and it’s Economic Contribution

According to 18th Livestock census of India (2007), India has about 199.1 million cattle, which constitute 44.29 per cent of Asian and 12.7 per cent of the world cattle population. The current buffalo population is 105.34 million which accounts 57 per cent of Asian and 55 per cent of the world buffalos. The major output of the entire livestock sector is from the milk, which is the second most agricultural commodities next to paddy. According to the annual report of the Ministry of Agriculture and Cooperation, during 2006-07, the contribution of milk alone (Rs.1,44,386 crore) was higher than paddy (Rs.85,032 crore), wheat (Rs.66,791 crore) and sugarcane (Rs.28,488 crore). The value of output from meat group animals as per estimates of Central Statistical Organization (CSO) at current prices was Rs. 34, 310 crore during 2006-07. Total export earnings from livestock, poultry and related products were Rs.5,213.80 crore during 2006-07. Eighty percent rural households keep livestock for their subsidiary income, important for employment, livelihood, nutrition, constant flow of quick and fast income, reduces the vulnerability of agricultural production. Trends indicate that animal protein consumption would rise proportionately with increase in income. The 18th Livestock Census (2007) has placed the total livestock population at 529.698 million and total of poultry birds at 648.830 million.

Introduction
Demand of dairy products is on the rise in India. India‘s demand forecast for milk and milk products is more than the current supply of these products. To meet this demand entrepreneurship initiatives are need of the hour. Further, younger generations of India are more interested in commercial dairy farming rather than subsistence based farming. Therefore, scientific as well as commercial dairy entrepreneurial training to farmers about advanced technology used in breeding, feeding, housing and healthcare is essential.

a. Barriers for Entrepreneurship in dairy

An average dairy entrepreneur faces several barriers to start a new enterprise. Some of them are as under

    1.    Lack of financial support: A major stumbling block for many dairy farmers to expand production or diversify into new high value enterprises is lack of access to finance. Farmers who are starting new enterprises often face difficulty raising investment capital.

Introduction

In India, the Micro and Small Enterprises (MSEs) sector plays a pivotal role in the overall industrial economy of the country. It is estimated that in terms of value, the sector accounts for about 39 per cent of the manufacturing output and around 33 per cent of the total export of the country. Further, in recent years the MSE sector has consistently registered higher growth rate compared to the overall industrial sector. The major advantage of the sector is its employment potential at low capital cost. As per available statistics, this sector employs an estimated 31 million persons spread over 12.8 million enterprises and the labour intensity in the MSE sector is estimated to be almost 4 times higher than the large enterprises.

Definition for SMEs is often considered to be an obstacle for business studies and market research. Definitions in use today define thresholds in terms of employment, turnover and assets. They also incorporate a reasonable amount of flexibility around year-to-year changes in these measures so that a business qualifying as an SME in one year can have a reasonable expectation of remaining an SME in the next.

Agricultural marketing is a critical component of the economy, influencing the livelihoods of farmers, the operations of traders, and the decisions of policymakers. However, challenges such as price volatility, inefficient supply chains, and inadequate integration of data impede its efficiency. This chapter explores the transformative role of data analytics in addressing these challenges, emphasizing its potential to enhance transparency, optimize decisions, and streamline processes. Traditional data sources, including market prices and production data, are contrasted with emerging sources like remote sensing, IoT, and social media, while the integration of big data characterized by volume, velocity, and variety is discussed. Analytical techniques such as descriptive, predictive, and prescriptive analytics are detailed for their applications in market trend analysis, price forecasting, and supply chain optimization. Advanced models, including ARIMA, LSTM, and Random Forest, are presented alongside market basket analysis to demonstrate their utility in decision-making. The chapter further examines the role of analytics in decision support systems, market timing, and supply chain optimization while addressing challenges like data quality, integration issues, and adoption barriers. By providing a comprehensive framework for leveraging data analytics, this chapter serves as a valuable resource for researchers, practitioners, and policymakers seeking to revolutionize agricultural marketing.

Abstract
Agricultural marketing is a critical component of the economy, influencing the livelihoods of farmers, the operations of traders, and the decisions of policymakers. However, challenges such as price volatility, inefficient supply chains, and inadequate integration of data impede its efficiency. This chapter explores the transformative role of data analytics in addressing these challenges, emphasizing its potential to enhance transparency, optimize decisions, and streamline processes. Traditional data sources, including market prices and production data, are contrasted with emerging sources like remote sensing, IoT, and social media, while the integration of big data characterized by volume, velocity, and variety is discussed. Analytical techniques such as descriptive, predictive, and prescriptive analytics are detailed for their applications in market trend analysis, price forecasting, and supply chain optimization. Advanced models, including ARIMA, LSTM, and Random Forest, are presented alongside market basket analysis to
demonstrate their utility in decision-making. The chapter further examines the role of analytics in decision support systems, market timing, and supply chain optimization while addressing challenges like data quality, integration issues, and adoption barriers. By providing a comprehensive framework for leveraging data analytics, this chapter serves as a valuable resource for researchers, practitioners, and policymakers seeking to revolutionize agricultural marketing.
Keywords: Agricultural Marketing, Data Analytics, Predictive Modeling, Supply Chain Optimization, Market Forecasting, Big Data.