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The purpose of this study is to investigate the socioeconomic determinants of property crimes on convicted offenders in the Chilga district correctional institution (CDCI).

This study conducted a socioeconomic determinant of property crimes on convicted offenders using quantitative research. Respondents consisted of a random sample of 170 convicted offenders in CDCI. This study used descriptive statistics, logistic regression and Pearson correlations for analyzing the quantitative data in CDCI.

The results of the study showed that the age at first engagement, educational status, offender’s immediate economic situation and previous experience of the offender were the perceived reasons in one’s major property crime offending. However, average monthly income, peer effect and family structure (grown up with) were found to be non-perceived reasons. Youths who are unmarried, illiterate and unemployed offenders had over three times more probabilities of committing theft than robbery and burglary in the winter season, especially in February, because of the determinants of illiteracy and unemployment such as negligence for the future life. Furthermore, the convicted offenders who were illiterate, unemployed and raised by single parents have engaged in theft for the first time, but burglary and robbery by employed and literate offenders in more probable.

This paper takes a fresh perspective on knowledge about property crime and economic as well as criminological theories using various bodies of academic research. This paper’s insight will be helpful to fill the literature gaps; there are lot research studies with little investigations addressing to the issue of the determinants of property crime. It will also be useful for policymakers to mitigate the determinant of property crime.

An unreliable supply of grid electricity has a strong negative impact on industrial and commercial profitability as well as on household activities and government services that rely on electricity supply. This unreliable grid electricity could be a result of technical and security factors affecting the grid network. Therefore, this study aims to investigate the effects of technical and security factors on the transmission and distribution of grid electricity in Uganda.

This study used the ordinary least squares (OLS) and autoregressive distributed lag (ARDL) models to examine the effects of technical and security factors on grid electricity reliability in Uganda. The study draws upon secondary time series monthly data sourced from the Uganda Electricity Transmission Company Limited (UETCL) government utility, which transmits electricity to both distributors and grid users. Additionally, data from Umeme Limited, the largest power distribution utility in Uganda, were incorporated into the analysis.

The findings revealed that technical faults, failed grid equipment, system overload and theft and vandalism affected grid electricity reliability in the transmission and distribution subsystems of the Ugandan power grid network. The effect was computed both in terms of frequency and duration of power outages. For instance, the number of power outages was 116 and 2,307 for transmission and distribution subsystems, respectively. In terms of duration, the power outages reported on average were 1,248 h and 5,826 h, respectively, for transmission and distribution subsystems.

This paper investigates the effects of technical and security factors on the transmission and distribution grid electricity reliability, specifically focusing on frequency and duration of power outages, in the Ugandan context. It combines both OLS and ARDL models for analysis and adopts the systems reliability theory in the area of grid electricity reliability research.

The emerging disintegrative processes of transitional economies are influencing companies’ business models in terms of consumer behaviour, especially food markets, which offer usual, common and traditional consumer products. Beyond investigating potential consumer misbehaviour, a further aim of this study is the building of a theoretical-descriptive model for consumer misbehaviour in food markets, which could influence the contextual complexity in business relationships, as well as the management of raw materials, services acquisition and final product sales. The research applies the “input-output” model (Ferrero, 1968) to some specific marketing theories, adopting an interdisciplinary approach for understanding the relationships between consumer behaviour and a company’s business model.

The research is both qualitative and quantitative in nature. In the first phase, the research was conducted among representatives of grocery stores using an exploratory approach; thus, an in-depth interview method was used. In the second phase, direct research among consumers was conducted using an online survey. After the verification of correctness, validity and reliability, a final 1,200-questionnaire dataset was analysed

The most common consumer misbehaviour in food markets concerns the theft of foodstuff or the adoption of bad behaviour towards grocery stores employees. Market and store representatives have highlighted a large scale of pathological consumer misbehaviour, mostly due to psychological conditions at the individual (habits, lifestyle or personality) and collective (family or other social groups) levels. According to previous studies, consumer misbehaviour in food markets seems to be substantially affected by three factors: motivation, capacity and opportunity. These factors strongly impact the input-output model through which the company interacts with the context.

The three-factor model reveals advantages and applications, allowing for a simple explanation of consumer misbehaviour in food markets and stores. It can contribute to scientific theory development (especially theories related to consumer behaviour, customer relationship management, partnership marketing and supply chain management) and generate support for understanding complex relations among consumers, food producers, factories and food stores. In this direction, the management of knowledge about consumers and their behaviour is indispensable.

The purpose of the study is to identify cybersecurity threats that hinder the adoption of digital banking and provide sustainable strategies to combat cybersecurity risks in the banking industry.

Systematic literature review guidelines were used to conduct a quantitative synthesis of empirical evidence regarding the impact of cybersecurity threats and risks on the adoption of digital banking.

A total of 84 studies were initially examined, and after applying the selection and eligibility criteria for this systematic review, 58 studies were included. These selected articles consistently identified identity theft, malware attacks, phishing and vishing as significant cybersecurity threats that hinder the adoption of digital banking.

With the country’s banking sector being new in this area, this study contributes to the scant literature on cyber security, which is mostly in need due to the myriad breaches that the industry has already suffered thus far.

This study explores the importance of and vulnerabilities in deploying physical access control (PAC) devices in a typical university setting.

The study adopts face-to-face and telephone interviews. This study uses a semi-structured interview guide to solicit the views of 25 interviewees on the subject under consideration. Qualitative responses to the interview are thematically analyzed using NVivo 11 Pro analysis application software.

The findings reveal five importance and seven vulnerabilities in the deployment of PAC devices in the institution. Key among the importance of deploying the devices are “prevent unwanted premise access or intrusions,” “prevent disruptions to university/staff operations on campus” and “protect students and staff from outside intruders.” Key among the identified vulnerabilities are “tailgating”, “delay in emergent cases” and “power outage may affect its usage.”

This study offers insight into a rare area of study, especially in the Sub-Saharan Africa region. Furthermore, the study contributes to the state-of-the-art importance and vulnerabilities in deploying PAC devices in daily human activities. The study is valuable in that it has the potential to establish a foundation for future studies that may delve into investigating issues associated with the deployment of PAC devices.

This study aims to investigate the impact of the 2013 privatization of Nigeria’s energy sector on the technical performance of the Benin Electricity Distribution Company (BEDC) and its workforce.

This study used a questionnaire-based approach, and 196 participants were randomly selected. Analytical tools included standard deviation, Spearman rank correlation and regression analysis.

Before privatization, the energy sector, managed by the power holding company of Nigeria, suffered from inefficiencies in fault detection, response and billing. However, privatization improved resource utilization, replaced outdated transformers and increased operational efficiency. However, in spite of these improvements, BEDC faces challenges, including unstable voltage generation and inadequate staff welfare. This study also highlighted a lack of experience among the trained workforce in emerging electricity technologies such as the smart grid.

This study’s focus on BEDC may limit its generalizability to other energy companies. It does not delve into energy sector privatization’s broader economic and policy implications.

The positive outcomes of privatization, such as improved resource utilization and infrastructure investment, emphasize the potential benefits of private ownership and management. However, voltage generation stability and staff welfare challenges call for targeted interventions. Recommendations include investing in voltage generation enhancement, smart grid infrastructure and implementing measures to enhance employee well-being through benefit plans.

Energy sector enhancements hold positive social implications, uplifting living standards and bolstering electricity access for households and businesses.

This study contributes unique insights into privatization’s effects on BEDC, offering perspectives on preprivatization challenges and advancements. Practical recommendations aid BEDC and policymakers in boosting electricity distribution firms’ performance within the privatization context.