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This study employed technological frames of reference (TFR) theory to explore officer attitudes toward body-worn cameras (BWCs) in the Chicago Police Department (CPD), identifying frames that may undermine compliance.

Semi-structured interviews were conducted with 11 officers, focusing on their perceptions of the BWCs’ purpose, adoption catalysts, effectiveness metrics and benefits and drawbacks.

Officers viewed BWCs primarily as tools for oversight and cited external influences and the department’s desire to be perceived as progressive as key catalysts for BWC adoption. There was widespread uncertainty regarding the criteria CPD uses to gauge BWC effectiveness. The protective feature of the cameras was cited as the primary benefit of the technology, while privacy intrusion and discretion were identified as key drawbacks. Noteworthy nuances were observed across these perceptual domains.

The study focuses on a single police agency, limiting its generalizability. Nevertheless, it holds value for departments experiencing BWC policy compliance issues and those preparing to implement the cameras.

Insights into officers’ technological frames help identify perspectives that threaten desired use of BWCs and highlight necessary training and policy interventions that align officers' BWC readings with departmental goals to enhance policy compliance.

This study is among the few that employ TFR theory to examine officer perceptions of BWCs in a large urban police agency.

The Indian stock market can be tricky when there's trouble in the world, like wars or big conflicts. It's like trying to read a secret message. We want to figure out what makes investors nervous or happy, because their feelings often affect how they buy and sell stocks. We're building a tool to make prediction that uses both numbers and people's opinions.

Hybrid approach leverages Twitter sentiment, market data, volatility index (VIX) and momentum indicators like moving average convergence divergence (MACD) and relative strength index (RSI) to deliver accurate market insights for informed investment decisions during uncertainty.

Our study reveals that geopolitical tensions' impact on stock markets is fleeting and confined to the short term. Capitalizing on this insight, we built a ground-breaking predictive model with an impressive 98.47% accuracy in forecasting stock market values during such events.

To the best of the authors' knowledge, this model's originality lies in its focus on short-term impact, novel data fusion and high accuracy. Focus on short-term impact: Our model uniquely identifies and quantifies the fleeting effects of geopolitical tensions on market behavior, a previously under-researched area. Novel data fusion: Combining sentiment analysis with established market indicators like VIX and momentum offers a comprehensive and dynamic approach to predicting market movements during volatile periods. Advanced predictive accuracy: Achieving the prediction accuracy (98.47%) sets this model apart from existing solutions, making it a valuable tool for informed decision-making.

This study delves into the impact of an ethical mindset on the efficacy of ethical awareness within the tax profession and aims to ascertain whether the presence of an ethical mindset can account for the discrepancies in the literature and enhance the effectiveness of ethical awareness initiatives.

The research used a tax experiment involving both treatment and control groups. Both groups were presented with a tax-related scenario, with the treatment group subjected to a specific ethical awareness intervention. To gauge the participants’ ethical mindsets, they were divided into strong self-interest and mild self-interest mindset groups based on their Machiavellian scores. The analysis was conducted utilizing ANOVA to scrutinize the results.

The key findings shed light on the fact that while ethical awareness endeavors can enhance the likelihood of individuals making ethical choices in tax decisions, their effectiveness varies significantly depending on the individual’s ethical mindset. Furthermore, results show that gender affected the relationship between ethical mindset and ethical awareness effectiveness, and males with mild self-interest score reacted more to the ethical awareness intervention. Results support that individuals’ ethical mindset, measured as strong self-interest and mild self-interest, is pivotal in determining the effectiveness of ethical awareness efforts.

This study is unique because it evaluates the effect of ethical mindsets to provide a novel way to improve tax ethical awareness initiatives.

New business density (NBD) is the ratio of the number of newly registered liability corporations to the working-age population per year. NBD is critical to assessing a country's business environment. The present work endeavors to discover and gauge the contribution of 28 potential socio-economic enablers of NBD for 2006–2021 across developed and developing economies separately and to make a comparative assessment between those two regions.

Using World Bank data, the study first performs exploratory data analysis (EDA). Then, it deploys a deep learning (DL)-based regression framework by utilizing a deep neural network (DNN) to perform predictive modeling of NBD for developed and developing nations. Subsequently, we use two explainable artificial intelligence (XAI) techniques, Shapley values and a partial dependence plot, to unveil the influence patterns of chosen enablers. Finally, the results from the DL method are validated with the explainable boosting machine (EBM) method.

This research analyzes the role of 28 potential socio-economic enablers of NBD in developed and developing countries. This research finds that the NBD in developed countries is predominantly governed by the contribution of manufacturing and service sectors to GDP. In contrast, the propensity for research and development and ease of doing business control the NBD of developing nations. The research findings also indicate four common enablers – business disclosure, ease of doing business, employment in industry and startup procedures for developed and developing countries.

NBD is directly linked to any nation's economic affairs. Therefore, assessing the NBD enablers is of paramount significance for channelizing capital for new business formation. It will guide investment firms and entrepreneurs in discovering the factors that significantly impact the NBD dynamics across different regions of the globe. Entrepreneurs fraught with inevitable market uncertainties while developing a new idea into a successful new business can momentously benefit from the awareness of crucial NBD enablers, which can serve as a basis for business risk assessment.

DL-based regression framework simultaneously caters to successful predictive modeling and model explanation for practical insights about NBD at the global level. It overcomes the limitations in the present literature that assume the NBD is country- and industry-specific, and factors of the NBD cannot be generalized globally. With DL-based regression and XAI methods, we prove our research hypothesis that NBD can be effectively assessed and compared with the help of global macro-level indicators. This research justifies the robustness of the findings by using the socio-economic data from the renowned data repository of the World Bank and by implementing the DL modeling with validation through the EBM method.

Online retail platform corporate sustainable development (ORPCSD) has garnered significant interest and appeal among consumers. However, no scale has been developed to measure consumer perceptions of ORPCSD. Therefore, this study aimed to delineate the conceptual framework and dimensions underlying these perceptions and construct a reliable and valid measurement tool.

This study employed established qualitative and quantitative methods in two studies. In the first study, the dimensions and measurement items of consumer perceptions of ORPCSD were proposed using the grounded method. In the second study, the measurement scale was refined and validated using exploratory factor analysis, confirmatory factor analysis, and nomological validity examination.

The results indicated that consumer perception of ORPCSD consisted of three dimensions: economic, social, and environmental sustainability. The measurement scale for these dimensions comprised 25 items, demonstrating excellent psychometric properties.

This study contributes original insights by enhancing the current understanding of consumer perceptions of ORPCSD. Additionally, it provides researchers and managers with psychometric metrics to gauge these perceptions and offers actionable strategies for sustainable marketing initiatives.

Financial literacy, capability and behavior are crucial factors in personal financial management, which in turn plays a significant role in individual and societal financial well-being. The objective of this investigation is to explain critical factors and dimensions of personal financial management systems by employing a hybrid approach that encompasses a bibliometric analysis and a systematic review of the literature.

The research team carefully evaluated a selection of 606 scholarly articles from the Scopus database and studied the evolution of personal financial management behavior over 38 years (1986–2023). This research adopted several graphical representations and network structures to comprehend publishing tendencies, high-impact papers, theoretical frameworks, intellectual constructs as well as the current state of research collaboration.

Four major clusters were identified in the field of personal financial management behavior: the relationship between financial literacy and financial capability, factors influencing financial behavior, the impact of financial behavior on financial well-being and the financial behavior of different demographic groups. In addition, by performing content analysis on papers published within the last five years, new themes in personal financial management behavior were identified.

This investigation serves to equip financial advisors, policy architects and scholarly investigators with a deeper insight into the intricacies of personal financial management behavior and aids in pinpointing prospective domains for forthcoming research.

This study seeks to address a significant vacuum in the current body of research by providing a thorough bibliometric analysis that specifically examines financial literacy, ability and conduct. To the best of our knowledge, no previous research has conducted such a comprehensive investigation in this field. This research aims to identify important researchers and influential works in the subject by using a mixed-methods approach that combines qualitative and quantitative methodologies, including content analysis. The purpose of doing this is to provide exclusive insights and expertise that can be highly valuable to scholars, practitioners, policymakers and other stakeholders who are interested in furthering the comprehension and encouragement of financial literacy and responsible financial behavior.

This study investigates the paradox of lotteries in financial markets, challenging traditional utility models predicated on rational behavior amid uncertainty. It explores why investors are drawn to lotteries despite the potential trade-off between risk-adjusted returns and sporadically substantial gains.

Employing a multifaceted approach, the study first scrutinizes diverse theories elucidating the perplexing behavior of lottery investors. Subsequently, it assesses the premium attached to lottery stock shares in the Brazilian financial market using distinct methodologies, thereby offering a comprehensive analysis of this phenomenon. Finally, the study estimates the risk premium associated with the lottery stocks applying an extended Fama–French multifactor model and searching for evidence of overlap with other risk-based anomalies.

This research unveils theories underpinning seemingly irrational investor behavior vis-à-vis lotteries, revealing the motivations propelling investors to willingly exchange risk-adjusted returns for the allure of substantial but infrequent gains. Empirical evidence delineates the extent of the premium paid for lottery stocks in the Brazilian market.

The study’s novelty lies in its amalgamation of theoretical exploration, empirical analysis and the application of the Fama–French factor model to gauge the risk premium associated with lottery-related behavior. Furthermore, its investigation of lottery stocks within the Brazilian market introduces a distinctive dimension, elucidating market dynamics and investor behaviors unique to the region.

This study aims to evaluate the effectiveness of tax incentives provided by the Ethiopian government in spurring private investment and job creation, using unique administrative and survey data.

The study employs a dataset covering large- and medium-scale manufacturing in Ethiopia from 2012 to 2018, combined with administrative data on actual tax payments and statutory obligations to gauge the impact of tax incentives. Regression analysis using the generalized method of moments (GMM) is used to examine the relationship between tax incentives and employment, taking into account variations in production, distribution and financial costs.

The study finds that tax incentives do not significantly affect employment at conventional significance levels. The incentive elasticity of employment appears to diminish as production, distribution and financial costs increase. Consequently, the incentives provided by the government have not had a substantial impact on employment generation within the manufacturing sector.

This study is unique for its comprehensive analysis of tax incentives in the Ethiopian manufacturing sector using both administrative and survey data. It highlights that increasing production and financial costs can offset the employment benefits of these incentives, emphasizing the need for a more favorable business environment for private investors.

The purpose of this paper is to improve the understanding of the social contexts of sustainable Lean culture in healthcare by examining self-efficacy (SE) as a fundamental construct related to the value of perceived readiness, prior education of Lean and the importance of leadership’s system-level support.

A descriptive correlational study was conducted to identify the relationships between SE and Lean readiness factors, SE and prior Lean training, SE and clinical vs administrative roles and SE and perceived system-level support in a large health system.

There was a statistically significant difference in self-reported readiness to use Lean tools between individuals who had received Lean training during their academic education and those who had not; however, their level of education did not impact SE. Lastly, and perhaps most important, the learner who embodies SE also has system-level support.

Future directions of this research, in addition to assessing team readiness as other studies suggest, would be to evaluate individual team member readiness by gauging SE and addressing deficits prior to the deployment of process improvement (PI) projects to promote success and sustainability.

This contributes to the ongoing scholarship of Lean management systems, providing clinical and non-clinical leaders with a contextual understanding of their supportive role in the SE of teams.

This study demonstrates the value of understanding SE of individual team members and how it can contribute to overall improved team outcomes, directly impacting the sustainability of Lean change culture and its promotion of improved patient safety, cost efficiencies and access to care.

Flatter organisational structures and nonlinear career trajectories mean intrinsic value and subjective career success are increasingly important for motivating, guiding and rewarding contemporary workers. While objective measures of career success have been well explored, more research is needed to understand the dimensions of subjective career success, their relative importance to graduates and potential variations by personal factors. This is critical for supporting graduates’ transition into work and for organisations to attract and retain graduates amid global talent shortages.

Building on assertions of the power to understand how what one seeks in a career affects career achievement, this study investigated the importance and achievement of subjective career success among 324 recent graduates from two Australian universities.

Results include a notable emphasis on financial security and work-life balance, particularly among mature individuals, underscoring the value of adaptable work arrangements. Results suggest shifting priorities, with reduced importance placed on opportunities for innovation and assisting others, potentially indicating a move from collective to more individualised goals. Distinct graduate profiles emerged, showcasing diverse priorities and achievements in subjective career success, spanning from “humanistic” to “self-made” success.

Results underscore the significance of higher education embedding program-wide career development plans across the curriculum, including value-based assessments, labour market analyses and career planning and review processes. Comprehensively supporting students in career development will empower them to explore, understand and actively pursue their career goals in alignment with their values and motivations, enhancing their person-organisation fit, career satisfaction and organisational commitment.