Search results

Purpose – This paper aims to provide an overview of organizational changes in the New Jersey State Police (NJSP) Investigations Branch and how the Branch has adapted to the paradigm of intelligence‐led policing. The paper also reports on interviews conducted to assess the impact on key staff affected by the change, through the medium of a drug‐gang investigation, Operation Nine Connect. Design/methodology/approach – Both semi‐structured and less formal interviews were conducted with 20 detectives, intelligence analysts and managers. Extensive quotes are employed to demonstrate key points. Furthermore, content analysis of documents related to organizational change in the NJSP and to a large drug‐gang intelligence operation was conducted. Findings – The paper identifies the key tenets of intelligence‐led policing, and describes progress made both organizationally and culturally to move the Investigations Branch to an intelligence‐led policing mindset. Organizational successes were reported, but more limited success was achieved in relation to changing police culture. Practical implications – The paper clarifies the meaning of intelligence‐led policing, and identifies potential road‐blocks to implementation for police departments wishing to move to intelligence‐led policing. Originality/value – The paper identifies the key tenets of intelligence‐led policing, outlines how these were used to determine greater geographic focus in the organizational structure of the New Jersey State Police Investigations Branch, and is a rare examination of the internal workings of a state police investigations branch in relation to a drug‐gang investigation. The paper will be of interest to police executives and managers, and intelligence professionals.

This paper aims to explore a mediating effect of self-efficacy between individuals’ informal learning and their organizational commitment. Informal learning between individuals is critical in the workplace because sharing knowledge and expertise is directly related to employee’s attitude and organizational benefits such as enhanced performance and productivity. Of the many factors affecting organizational commitment, this research focuses on effects of informal learning and a mediating role of self-efficacy.

To address these research questions, this research analyzes survey data of 317 Korean workers. Through structural equation model analysis, the authors examine how informal learning affects employee commitment to organizations, where individual self-efficacy works as a mediator.

The analysis confirms that informal learning increases self-efficacy, whereas no directly influences organizational commitment. The analysis also demonstrates that self-efficacy mediates the relationship between informal learning and organizational commitment. This study confirms the positive relationship between informal learning and self-efficacy, whereas no direct relationship between informal learning and organizational commitment.

This study has several limitations in terms of methodology. Data collection mainly relied on a survey method, which is a single source and raises the concern of common method bias. Therefore, future studies may use different types of data to solve the problem of common method biases. In addition, the study design was cross-sectional; therefore, it was unable to eliminate the biases caused by simultaneous data. Future studies can adopt a longitudinal design using different time stages to collect data in order to eliminate this bias.

The main reasons for the high rate of informal learning through activities such as on-the-job training, coaching, mentoring and community of practice include the increase in the efficiency of learning and reduction in learning costs by integrating learning and work and the effectiveness of informal learning in terms of improving performance. This research seeks to demonstrate how informal learning in the workplace influences employees’ commitment to the organization through self-efficacy.

Breast cancer is one of the most common malignant tumors in women, which badly have an effect on women's physical and psychological health and even danger to life. Nowadays, mammography is considered as a fundamental criterion for medical practitioners to recognize breast cancer. Though, due to the intricate formation of mammogram images, it is reasonably hard for practitioners to spot breast cancer features.

Breast cancer is one of the most common malignant tumors in women, which badly have an effect on women's physical and psychological health and even danger to life. Nowadays, mammography is considered as a fundamental criterion for medical practitioners to recognize breast cancer. Though, due to the intricate formation of mammogram images, it is reasonably hard for practitioners to spot breast cancer features.

The performance analysis was done for both segmentation and classification. From the analysis, the accuracy of the proposed IAP-CSA-based fuzzy was 41.9% improved than the fuzzy classifier, 2.80% improved than PSO, WOA, and CSA, and 2.32% improved than GWO-based fuzzy classifiers. Additionally, the accuracy of the developed IAP-CSA-fuzzy was 9.54% better than NN, 35.8% better than SVM, and 41.9% better than the existing fuzzy classifier. Hence, it is concluded that the implemented breast cancer detection model was efficient in determining the normal, benign and malignant images.

This paper adopts the latest Improved Awareness Probability-based Crow Search Algorithm (IAP-CSA)-based Region growing and fuzzy classifier for enhancing the breast cancer detection of mammogram images, and this is the first work that utilizes this method.

The objective of this study is to assess if Italian fish consumers are sensible to shark protection and if they would contribute paying more for small pelagic fishes coming from fisheries that are certified as “shark-free”.

Contingent valuation is used to estimate willingness to pay with a double approach, including a dichotomous choice and an open-ended question. Inconsistency between the two answers is allowed. This allows the correction of two sources of bias (i.e. preference uncertainty and anchoring effect) and has permitted that the two estimation methods converged to the same result.

Consumers show interest for the “shark-free” label. Premium price is estimated at +26%. Variables affecting willingness to pay (WTP) in the sample are age, income, environmental attitude, knowledge of organic labels and frequency of small pelagics' consumption. Results need to be confirmed by a replication on a larger (probabilistic) sample and with a different distribution of bids.

Ecosystems provide different benefits to humankind, including non-use services, such as the satisfaction to know that a species is well conserved. Generally, appreciation is higher for what are considered charismatic species. In this paper, the authors investigate if sharks can be considered charismatic species despite their “bad reputation”. The interest in shark survival is measured indirectly using a “shark-free” label on a commercial species like anchovy, allowing to increase the value added of this low-price species.

This study aims to identify how ICT appeared as an emergent business strategy and to investigate the impact of ICT adoption factors on the perceived benefits of micro, small and medium enterprises (MSMEs).

A total of 393 responses from Indian small and mid-size enterprises (SMEs) were collected for the final analysis. The study presents the partial least-squares structural equation modeling with the Chi-square test and descriptive analysis as a methodology based on numerous independent variables and one dependent variable.

The findings indicate that ICT adoption during and following the COVID-19 pandemic is constant in nature of the enterprise. Moreover, the results indicate that different adoption of ICT factors influence on perceived benefits of organizational performance of Indian MSMEs that lent good support except for the regulatory framework.

The implications of the current research help Indian MSMEs to take investment decisions in various technologies that help the organization. Furthermore, managers and practitioners help the organization in deciding which technology adoption factors are more critical to the betterment of the organization.

The study found certain ICT adoption factors that have a significant role in organizational performance in Indian MSMEs. Moreover, during COVID-19, investigate ICTs' role as a business strategy.