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The study finds the determinants of women empowerment measured in terms of domestic decision-making in a developing economy perspective by considering rural women in India. Women empowerment simply means giving opportunities to women to enable them to be socially and financially independent. Empowerment of women through investment in their education and health has a positive effect on economic growth. Almost 70% of Indian population lives in rural areas. If women in these areas are educated and empowered, they can contribute to the economic growth either directly or indirectly by improving health and education of the future generations. This study indicates that an employed woman, having her own income source, higher educational level, knowledge of legal rights, higher educational level of the mother of the woman, having property in her own name, more freedom of movement during her school days, having high self-esteem and belonging to a relatively affluent background, increases domestic making power of the women, and thus empowerment. Some possible policies are suggested for developing economies.

While rapid increase in demand for foods but limited availability of croplands has forced to adopt input-intensive farming practices to increase yield, there are serious long-term ecological implications including degradation of biodiversity. It is increasingly recognised that ensuring agricultural sustainability under the changing climatic conditions requires a change in the production system along with necessary policies and institutional arrangements. In this context, this chapter examines if climate-smart agriculture (CSA) can facilitate adaptation and mitigation practices by improving resource utilisation efficiency in India. Such an attempt has special significance as the existing studies have very limited discussions on three main aspects, viz., resource productivity, adaptation practices and mitigation strategies in a comprehensive manner. Based on insights from the existing studies, this chapter points out that CSA can potentially make significant contribution to enhancing resource productivity, adaptation practices, mitigation strategies and food security, especially among the land-constrained farmers who are highly prone to environmental shocks. In this connection, staggered trench irrigation structure has facilitated rainwater harvesting, local irrigation and livelihood generation in West Bengal. However, it is necessary to revisit the existing approaches to promotion of CSA and dissemination of information on the design of local adaptation strategies. This chapter also proposes a change in the food system from climate-sensitive to CSA through integration of technologies, institutions and policies.

As cable and satellite industry undergoes transformation in the 21st century with the onslaught of innovation-driven changes, it is important to know which company is doing better and which company is falling behind. This study compares the relative performance of eight cable companies using three factors: operating expense for every dollar of operating revenue, earnings before interest, taxes, depreciation, and amortization, and return on assets. We also evaluate the performance of each firm against itself for the period 2010–2013 to see if they show improvement or deterioration in operating efficiency.

The purpose of the study is to analyze the risk of violent conflict with the global conflict risk factors in the Middle East economies by using an integrated fuzzy decision approach. For this purpose, five different dimensions and 24 different criteria are defined by analyzing similar studies in the literature. The dataset is borrowed from the European Commission, and experts appointed for the linguistic evaluation of each dimension and criterion. Additionally, fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) methodology is used to weigh dimensions and criteria and Multi-objective Optimization on the basis of Ratio Analysis (MOORA) approach is considered to rank the countries with respect to the conflict risk. Social dimension was concluded to have the highest importance of the Global Conflict Risk Index. Moreover, Syria, Libya, and Saudi Arabia were identified as the countries that have high conflict risk. Because these countries have high risk of facing conflict in the future, it is strongly recommended that they should primarily focus on social factors in order to minimize this risk.

Product success is contingent on forecasting when a product is needed and how it should be offered. Forecasting accuracy is contingent on the correct forecasting technique. Using supermarket data across two product categories, this chapter shows that using a bevy of forecasting methods improves forecasting accuracy. Accuracy is measured by the mean absolute percentage error. The optimal methods for one consumer goods product may be different than for another. The best model varied from sophisticated, most such as autoregressive integrated moving average (ARIMA) and Holt–Winters to a random walk model. Forecasters must be proficient in multiple statistical techniques since the best technique varies within a categories, variety, and product size.

Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types of employment have risen significantly, there has been significant growth in adopting AI technology in enterprises. Despite the anticipated benefits of AI adoption, many businesses are still struggling to make progress. This research article focuses on the influence of elements affecting the acceptance procedure of AI in organisations.

Design/Methodology/Approach: To achieve this objective, propose a hierarchical paradigm for the same by developing an Interpretive Structural Modelling (ISM). This paper reveals the barriers obstructing AI adoption in organisations and reflects the contextual association and interaction amongst those barriers by emerging a categorised model using the ISM approach. In the next step, cross-impact matrix multiplication is applied for classification analysis to find dependent, independent and linkages.

Findings: As India is now focusing on the implementation of AI adoption, therefore, it is essential to identify these barriers to AI to conceptualise it systematically. These findings can play a significant role in identifying essential points that affect AI adoption in organisations. Results show that low regulations are the most critical factor and functional as the root cause and further lack of IT infrastructure is the barrier. These two factors require the most attention by the government of India to improve AI adoption.

Implications: This study may be utilised by organisations, academic institutions, Universities, and research scholars to fill the academic gap and faster implementation of AI.

Purpose – This study investigates the sociodemographics, late entry to antiretroviral therapy (ART), and clinical markers associated with AIDS-related mortality.

Methodology/Approach – Applying retrospective cohort design, 960 medical records of people who died of AIDS, from October 2006 to December 2014, were accessed from the ART center at tertiary health care center of Ranchi (India).

Findings – With useable data from 889 medical records revealed that the majority of people who died of AIDS consisted of married males in the age group of 19–40 years who were truck drivers, migrant laborers, and of rural origins. The median survival period was below 3 months following the ART. Males and people on the pre-ART group had a shorter survival period than their counterparts. Early mortality was associated with lower CD4+ T cell counts, the third or fourth clinical stage, ambulatory or bed-ridden functional status, and poor medication adherence.

Research limitations/implications – This study was limited to the analysis of AIDS deceased people only; it did not compare the survival duration with living people on ART. The lower CD4+ T cell counts and medication adherence, being strong predictors of mortality, can be addressed to attain higher survival rates of people who have AIDS.

Originality/Value of Paper – This is the first study conducted in the tribal-populated region, covering a large sample of 889 cases. Unique findings of this study update the existing data on AIDS-related mortality.