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The purpose of this paper is to introduce architecture of an Intelligent Decision Support System to fulfill the emerging responsibilities of law enforcement agencies.

The proposed Intelligent Police System (IPS) is designed to meet the emerging requirements and provide information at all levels of decision making by introducing a multi-level structure of user interface and crime analysis model. The proposed framework of IPS is based on data mining and performance measurement techniques to extract useful information like crime hot spots, predict crime trends and rank police administration units on the basis of crime prevention measures.

IPS has been implemented on actual Indian crime data provided by National Crime Records Bureau (NCRB), which illustrates effectiveness and usefulness of the proposed system. IPS can play a vital role in improving outcome in the crime investigation, criminal detection and other major areas of functioning of police organization by analyzing the crime data and sharing of the information.

The research in intelligent police information system can be enhanced with some important additional features which include web-base management system, geographical information system, mobile adhoc network technology, etc.

IPS can easily be applied to any police system in the world and can equally be useful for any law enforcement agencies for carrying out homeland security effectively.

The research reported in this manuscript is outcome of the research project funded by NCRB. This paper is the first attempt to build framework of IPS for Indian police who deal with large volume and high rate of crimes that are unmatched to any police force of the world.

Farmer suicide as a social issue has existed in India since past three decades. Though many studies have been conducted from different perspectives to understand the causes and consequences of farmer suicide, very few studies have looked at the issue from a multidimensional perspective. By using the Durkheimian view of suicide, this paper aims to analyse the subjective meaning behind the social fact of suicide. It accesses the nature and pattern of suicide and examines the determinants of suicide from a socio-ecological paradigm.

The present study mostly relies on National Crime Records Bureau (NCRB) data on “accidental deaths and suicide in India” for the year 2018, 2019 and 2020 for the analysis of pattern and determinants of farmer suicide in India. The analysis of the data has been done in Excel, and descriptive statistics have been presented through simple contingency table.

The study found that in the past ten years, there has been a steady decline in the number of farmer suicide in India; however, some states such as Maharashtra and Karnataka continue to report high incidence of farmer suicide. Using a socio-ecological paradigm, the paper found that the farmer’s social system which is constituted of individual characteristics and societal characteristics has a direct impact on the tendency of a farmer to commit suicide. It was observed that the stronger the relationship between an individual and its microsystem, there is less chance of a person to commit suicide.

This is an original paper based on NCRB data for the year 2018, 2019 and 2020. The data for the farmer suicide has been calculated including the suicide of the agricultural labourers and the farmers/the cultivators.

The elderly are facing many problems in the phase of life in the contemporary times. The problem of suicide among the elderly is one of them. The purpose of this paper is to focus on the cause of death due to suicide among the elderly in later life. There are two objectives of the present study. The first objective examines the nature and problem of elderly suicide in Indian society. The second objective explores the factors affecting suicidal tendency among the elderly.

The data have been collected through two newspapers from January 2013 to April 2013. The content of news items has been analysed through content analysis.

The study finds out that the factors such as family problems, chronic diseases, poverty, lack of social status and bankruptcy give rise to feeling of committing suicide among the elderly.

This is an original paper.

This paper investigates the deterrence effect of development on crime against women in India. Specifically, the authors examine the deterrence effect of the composite development index, i.e. Human Development Index (HDI), along with other variables acting as development indicators such as women’s employment, the relative strength of women in the police force, urbanization, etc., on crimes against women.

This study adopts a fixed effect within-group (WG) panel regression model and pooled regression model on the data of 28 states over 20 years from 2000 to 2019. For checking the robustness of the results, the authors use the estimation from the system generalized method of moments.

The results confirm the deterrence effect of development as measured by the HDI and female labor force participation on various crimes against women. In addition, female feticide representing the socio-cultural attitude toward women turned out to be another significant determinant of almost all types of crime against women. Further, the study also finds the deterrence effect of variables such as police expenditure, the relative strength of women in the police force, urbanization and arrest rate on various crimes against women.

This research paper is unique because it tries to examine the deterrence hypothesis of development by taking a composite index of development, i.e. HDI and other variables at the state level in the Indian union.

The death of a person caused by suicide is a matter of grave concern in contemporary society. Today, a number of people in society are taking their own lives because of many reasons. This study aims to examine the causes of suicide in Indian society using anomie theory.

The author has applied the content analysis method. The researcher has collated 210 occurrences of suicide from newspapers of Uttar Pradesh between 1 October 2020 and 30 April 2021. The author has recognised the type, patterns and causes of suicide in society by analysing and observing daily news items.

The result demonstrates that most suicides (16.67%) have been caused by frustration/mental illness, followed by several other causes of suicide such as family problems (13.81%), love affairs (10.00%), poverty (9.05%), harassment (8.57%) and sexual harassment (7.62%). The data shows a major gap in the number of suicide deaths between the genders.

This is an original work of researcher which is basically based on anomie theory.

The computerisation of a government department is a very challenging process as it involves multiple stakeholders and power centers. Stakeholder identification as well as designing a system specific to the needs of a particular department can be a complex process. The computerisation of a police department in ASWI was initiated in the mid 90s but had not been a success. The case illustrates the challenges of the computerisation process in a bureaucratic environment. With multiple touch points and interdependent processes, designing and successfully implementing a technology solution for such an environment could be a major challenge. The case provides an opportunity to understand the reasons for IT project failures. The managerial strategies that can make an IT project successful and the situations in which these strategies can also be discussed.

This study aims to examine sociodemographic characteristics, levels and patterns of mortality experiences amongst Indian prisoners over the past two decades (1998–2018).

This study used prison statistics in India to analyze occupancy rate, percentage distribution, annual/decadal change, male–to–female ratios, prison mortality rate and causes of natural/unnatural deaths.

During 1998–2018, prisons in India grew by 18% and prisoners by 69%, leading to overcrowded jails. Males outnumbered female prisoners. Seventy percent of prisoners had an educational attainment level lower than 10th grade. In 2018, over 14 per 1,000 prisoners suffered from a mental illness and 384 per 100,000 died. Unnatural deaths accounted for 8%–11% of all prisoner deaths; 84% were by suicide. Illness accounted for 95% of all natural deaths in 2018; one–quarter was due to heart diseases.

The study did not establish an association between sociodemographic characteristics with mental illness and mortality due to the non-availability of data.

The pattern of a deteriorating living environment, rise in mental illnesses and mortality among Indian prisoners calls for immediate action from the authorities to protect them. Almost all unnatural deaths were by suicide (mostly by hanging). This detailed study would help authorities to take corrective measures for prisoner safety and well-being. There is also a need to develop a scientific database for this population.

To the best of the authors’ knowledge, this is the first study to examine morbidity and mortality experiences of the prisoner population using national statistics.

This paper uses data from 2010 to 2016 across 32 states and union territories to investigate the determinants of crime in India. Results indicate the significance of macroeconomic, demographic, socioeconomic and deterrence factors in accounting for various categories of crime.

Due to the evidence of heteroskedasticity and cross-sectional dependence, linear regression with panel-corrected standard errors is implemented.

It has been found that among the macroeconomic factors, only GSDP per capita was found relevant in explaining total crime rates. However, the unemployment rate and price level are crucial in explaining some categories of crime. The demographic factor, that is, population density, socioeconomic factors, that is, income inequality, poverty rate, literacy rate exhibit important and significant relationship with crime rates in India. Further, out of the four deterrence factors, charge-sheeting rate, conviction rate, pendency in police cases are important in explaining various categories of crime rates in India.

While implications of some socioeconomic variables are consistent with those found in previous studies, literacy rates and deterrence variables were found to have a positive association with crime. In particular, in a developing country such as India, white-collar crimes tend to increase as literacy rates increase. This calls for implementing policies that lead to greater employment opportunities for the educated masses. This paper also sheds light on the relationship between deterrence factors and crime rates in India. Deficiencies in the legal and judicial system have been detrimental to the nation's ability to curb crime rates.

This paper examines the role of institution in the combating crime in India. This study also assesses institutions for controlling property crime in India in the post-reform era.

Crime and socio-economic data are taken from National Crime Record Bureau and the Reserve Bank of India, respectively. Twenty major Indian states are selected for the study purpose for the period of 1994–2019. Fixed effect panel data technique is used for analysis purpose.

Property crime rate declines with economic growth, while it increases with financial development. Findings of fiscal policy instruments are different. Own tax is positively associated with property crime in India, while non-tax fiscal instruments such as fine, penalty, and so on, are inversely related to it. Property crime rate is inversely related to institutional factors like charge sheet and conviction rate.

Further research is needed for other crimes in India. State-level data are used here for analysis purpose; however, spatial or cluster analysis techniques might provide more insights for combating crimes in India.

This study suggests that economic growth and fiscal instrument along with institutional development are essential to control property crime in India.

Government should take steps to improve the law-and-order system to control property crime across states.

Impact of non-tax fiscal instrument reduces property crime while that of own tax is increases it in India. These findings are unique and added certain insight in the study. Institutional roles are captured its performances like charge sheet and convict rate, which are significantly reduce property crime in Indian states. Least square dummy variable model is applied to capture individual state effects.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0063

United Nation’s Standard Minimum Rules for Treatment of Prisoners, popularly known as Nelson Mandela Rules categorically advocates for the Prison Education and its integration with the educational system of the country. Moreover, principles for the treatment of prisoners, adopted by United Nation in 1990, guarantee that prisoners retain the human rights and fundamental freedoms set out in Universal Declaration of Human Rights, which includes right to take part in education also. However, there is little sensitization about the rights of prisoners in many countries. The issue has gained prominence as several international organizations have now raised concern on these matters.

Education of jail inmates has attracted the attention of Open and Distance Learning (ODL) systems in India. Among all the ODL institutions, Indira Gandhi National Open University (IGNOU) has been the major role player. Right from its first initiative to have a special study center in Tihar Jail in 1994, IGNOU’s network for jail inmates has undergone significant expansion. The university has now strong presence in the prisons. Under a special collaborative arrangement with Ministry of Home Affairs, IGNOU has started free education to jail inmates from 2010. This chapter gives a glimpse about the model being followed by IGNOU for providing education inside prisons, highlights its good practices, gaps in its functioning and makes recommendations for further strengthening of this network.