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This study aims to explore the role of community health workers (promotoras) as a vehicle to identify and involve stakeholders in cleaning the environment in two community-based social marketing (CBSM) interventions.

This paper evaluates two CBSM interventions that used a promotora model to address city cleaning efforts; one in Puebla, Mexico and the other in San Luis, Arizona, USA. The qualitative methods included as follows: 25 in-depth and short interviews with managers, residents and promotoras and observational data on the sites with the cleanliness issues which were the focus of the interventions. Open-ended qualitative responses were analyzed for recurring themes.

This research advances in the area of CBSM by presenting the figure of the “promotora” as a key element that helped to involve diverse groups of stakeholders as active members in two CBSM interventions, and who also facilitated socialization, penetration and co-responsibility in the community in two cleaning interventions. Promotoras have the knowledge of community conditions and the skills necessary to engage community stakeholders in the objectives of a program with community level benefits.

This comparative analysis identifies that CBSM interventions that include promotoras can engage a diverse group of stakeholders achieving participation and co-responsibility in cleaning their environment.

This study aims to investigate about the use of artificial intelligence (AI) (man machine relationship) regarding organizational behavior. The aim of this research paper is to analyze whether the current AI is used also to replace man in “creative” activities.

This study is based on a qualitative and explorative approach. It is made a review of the literature with “Scopus” and “Web of Science” databases. The research fields are AI, organizational behavior, man-machine relationship and creativity.

Analyzing whether the intensive use of AI in organizational behavior can replace human work in creative activities.

The connection of AI with creative activities within the organization is only just beginning. For this reason, other sources, like Harvard Business Review, public reports and professional papers found on the internet have been considered. The most important limitation of this paper is that all the results presented here do not concern a single case study.

In this paper, there are some examples that can show the use of AI in creative activities; however, this does not complete the situation facing companies in any sector because the AI technologies used within enterprises are constantly evolving. It is possible to continue to do research in this field.

The paper is meaningful because highlights the development of AI toward creative activities typically of human resources. It is also interesting because it analyzes the exploratory use of AI in increasingly human work, generating positive and negative externalities.

This paper aims to identify potential avenues for innovation in urban hotel management by analyzing self-reported data from visitors regarding their experience with interior design.

A qualitative exploratory computer-assisted content analysis was conducted to identify the impact of interior design on the guest experience. Leximancer 4.0 software analyzed 2,562 reviews from urban hotels collected through a reservation website.

The findings reveal that data reported by guests on interior design play a crucial role in shaping guest experiences, both positively and negatively. The esthetic appeal of interior design is shown to impact resting and comfort, affecting overall performance significantly. The study also highlights how different star categories of hotels and variations in visitors' purposes for their stay lead to distinct guest experiences and different opportunities to innovate.

The study’s results provide evidence for researchers and practitioners of the potential of the guest-reported interior design experience as a valuable source for fostering innovation. In addition, in the hotel industry, innovation may eventually be attained through interior design renovation.

Self-reported data from guests on interior design is an effective tool for innovation. Making interior design a priority throughout the establishment and ongoing management of a hotel is crucial. By integrating interior design, not only can potential negative experiences be avoided, but greater guest satisfaction can also be achieved during their stay, promoting memorable experiences that align with the hotel category and customer expectations.

This research emphasizes the importance of interior design as a catalyst for innovation and improved social experiences in the hospitality industry. Innovation in interior design can improve hotel performance in several dimensions, including attracting more visitors to the hotel and the area, increasing tourism revenue for local businesses and contributing to the broader societal goal of reducing environmental impact and promoting sustainability.

This article adopts a guest-centered methodology to provide valuable insights for hotel managers to leverage interior design as a tool for innovation in the hospitality industry after showing that interior design enhances guests' experiences, comfort and hotel differentiation.

The purpose of this study was to determine whether core constructs from the control (impulsivity resulting from poor parental discipline leads to crime) and moral (weak moral values lead to crime) models of criminal lifestyle development were capable of predicting crime continuance in early-to-mid adolescent youth.

Weak parental supervision and lack of remorse for antisocial conduct on the part of the child were correlated with subsequent delinquency in 1,850 (1,685 males, 165 females) early-to-mid adolescent delinquents. Analyses were based exclusively on data extracted from New York City probation, family court and police files.

Results from a negative binomial regression analysis revealed that both weak parental supervision and lack of remorse for antisocial conduct predicted subsequent delinquency over a period of six months, net the effects of age, sex, ethnicity, prior delinquency, sibling delinquency, negative peer associations, substance use and a felony charge.

These findings provide preliminary support for the control (low parental supervision) and moral (lack of remorse) models of criminal lifestyle development.

Weak parental supervision and failure to express remorse for antisocial actions increased risk of future delinquency by 19% and 29%, respectively. Teaching parents to be more effective disciplinarians and encouraging the development of moral values in youthful offenders may be of value in promoting desistance to crime in early juvenile offenders.

The importance of these results is that they reinforce prior findings obtained using self-report measures with data collected from official records.

This study aims to view police mental and physical health and overall well-being through a victimological lens so as to attempt to prevent problems from starting or protecting them by informing them of what may occur within their career.

Knowledge production within the field of police health and career implications is exponentially increasing as officers all over the world try and sometimes fail to navigate the difficulties of their complex career choice. Many of the disciplines that deal with this research are acting as silos, so there is not a lot of crossover in Australian literature. This study creates a contemporary collective of literary evidence in relation to police well-being as well as the impact of COVID on them. Creating this collective is why the literature review as a research method is critical. Traditional literature reviews can lack clear process. By using a literature review as a specific methodology, the outcome is a meticulous record of all relevant materials.

The results of this literature review identified, without bias or interpretation, many officers became disillusioned, mentally unwell and took time away from work for two main reasons: (1) for many police officers, the substantial distress from cumulative exposure to bureaucratic administration and management styles, erratic work hours and long hours of repetitive work and (2) the dangers of day-to-day policing with the presence at fatal accidents, suicides, receiving threats to life, being assaulted and gaining poor eating and drinking habits creating issues for sleep and physical health.

For the purposes of creating a contemporary paper, the authors restricted the sample of literature to 22 years (accessing from 2,000 onward). By only selecting journals from Google Scholar, relating to specific years and drawing on search terms to limit our search, it may be perceived to have skewed the sample and the outcomes. Further work will be completed in the future to correct this.

Police organisations may consider altering their bureaucratic procedures and make an effort to allow officers to better self-manage minor issues. From a victimological perspective, given that police officers are more than likely to be affected by cumulative experience of traumatic events over their career, they should be taught how to lower their individual levels of stress, to practice self-care and to be able to trust that the care they seek will be readily available without judgement.

Knowing the triggers related to police breakdown, both physically and mentally, may help intervene in the early years to prevent The extremes of policing range from being faced with overwhelming paperwork and administration to acute trauma events and can leave the officer dealing with cumulative stress in all its guises. Allowing a judgment free public debate into this issue will assist police (and other emergency service works) in the future.

Viewing police officers as victims of their career choice is not common and reviewing the factors that impact them on a daily basis and throughout their career is critical for both prevention and understanding. This paper has value to numerous disciplines.

The rationality of the selection and application of policy instruments in current policy schemes for promoting the development of low-carbon eco-cities in China is examined and, in view of existing problems, effective suggestions for scientifically and reasonably organizing and designing policy instruments are proposed, which is of great significance to optimize the policy system for the development of low-carbon eco-cities in China and thereby promote sustainable urban development.

In the study, using 117 policy documents focusing on the development of low-carbon eco-cities issued by the Chinese central government as well as the relevant ministries and commissions between 2010 and 2019 and comprehensively adopting bibliometric and content analysis methods, the contents of policy documents are quantitatively analyzed from three dimensions: policy instrument, policy area and policy target.

The study finds the following. Ecological environment and low-carbon development are the focus of policy attention. Policy-promulgating institutions have formed a core subnetwork, that is, an “iron triangle.” There exists a structural imbalance in the use of policy instruments, and the distribution of policy instruments in different policy areas exhibits significant differentiating characteristics. Driven by different policy targets, the proportion of the policy instrument types adopted by the government is constantly changing. According to these findings, suggestions are put forward to optimize China's low-carbon eco-city development policy.

(1) A three-dimensional policy analysis framework is conducted from the perspective of policy instrument, which is innovative in theory. (2) This paper finds the selective utilization rationality and evolution rule of China's low-carbon eco-city development policy instruments. (3) Recommendations on optimizing China's low-carbon eco-city development policies are discussed systematically, which plays a theoretical guiding role in optimizing the development policies of low-carbon eco-cities in China.

This paper aims to identify the role of internet of things (IoT) in water supply chain management and helps to understand its future path from the junction of computer science and resource management.

The current research was studied through bibliometric review and content analysis, and various contributors and linkages were found. Also, the possible directions and implications of the field were analyzed.

The paper’s key findings include the role of modern computer science in water resource management through sensor technology, big data analytics, IoT, machine learning and cloud computing. This, in turn, helps in understanding future implications of IoT resource management.

A more extensive database can add up to more combinations of linkages and ideas about the future direction. The implications and understanding gained by the research can be used by governments and firms dealing with water management of smart cities. It can also help find ways for optimizing water resources using IoT and modern-day computer science.

This study is one of the very few investigations that highlighted IoT’s role in water supply management. Thus, this study helps to assess the scope and the trend of the case area.