ObjectivesTo map organisational interventions for workplace suicide prevention, identifying the effects, mechanisms, moderators, implementation and economic costs, and how interventions are evaluated.BackgroundSuicide is a devastating event that can have a profound and lasting impact on the individuals and families affected, with the highest rates found among adults of work age. Employers have a legal and ethical responsibility to provide a safe working environment for their employees, which includes addressing the issue of suicide and promoting mental health and well-being.MethodsA realist perspective was taken, to identify within organisational suicide prevention interventions, what works, for whom and in what circumstances. Published and unpublished studies in six databases were searched. To extract and map data on the interventions the Effect, Mechanism, Moderator, Implementation, Economic (EMMIE) framework was used. Mechanisms were deductively analysed against Bronfenbrenner’s socio-ecological model.ResultsFrom 3187 records screened, 46 papers describing 36 interventions within the military, healthcare, the construction industry, emergency services, office workers, veterinary surgeons, the energy sector and higher education. Most mechanisms were aimed at the individual’s immediate environment, with the most common being education or training on recognising signs of stress, suicidality or mental illness in oneself. Studies examined the effectiveness of interventions in terms of suicide rates, suicidality or symptoms of mental illness, and changes in perceptions, attitudes or beliefs, with most reporting positive results. Few studies reported economic costs but those that did suggested that the interventions are cost-effective.ConclusionsIt seems likely that organisational suicide prevention programmes can have a positive impact on attitudes and beliefs towards suicide as well reducing the risk of suicide. Education, to support individuals to recognise the signs and symptoms of stress, mental ill health and suicidality in both themselves and others, is likely to be an effective starting point for successful interventions.

The Department of Veterans Affairs (VA) provides healthcare services to its veterans across the USA including territories and possessions. Healthcare services are delivered through 18 geographically divided administrative areas called Veterans Integrated Services Networks (VISN). Each VISN is divided into healthcare areas called Markets and Submarkets. Each Submarket is divided into Sectors and each Sector comprises one or more counties. In 1995 a process was created to coordinate and review the realignment of the Heath Care Networks. The Capital Asset Realignment for Enhanced Services (CARES) process established VISN 'subsets' called Markets, Submarkets and Sectors which, being smaller than VISNs, allowed for more precise analyses for greater access measurement to health care.

The County layer is the base geographic unit of the VISN-Market-Submarket-Sector-County hierarchy. The key attribute in this data set is the FIPS which is defined as a string of 5 characters with unique alphanumeric combinations for each site. The first 2 are the State FIPS code and the next 3 designate the County FIPS code. Example: '01031' is the FIPS for Coffee County, Alabama.

A Sector is a cluster of geographically adjacent counties within a VA Submarket. The process of aggregating counties into sectors uses a combination of automated algorithms and manual inspection of maps. The key attribute in this data set is the SECTOR which is defined as a string of eight characters broken down into four parts in the order of VISN (2-char), Market (1-char), Submarket (1-char), and Sector(1-char) connected by a hyphen. For example, Sector 12-a-3-A indicates VISN 12, Market a, Submarket 3 and Sector A.

Sub-markets reflect a clustering of the enrollee population within a market and are an aggregation of Sectors. The key attribute in this data set is the SUBMARKET which is defined as a string of six characters broken down in three parts in the order of VISN (2-char), Market (1-char), and Submarket (1-char) connected by a hyphen. For example, Submarket 12-a-3 indicates VISN 12, Market a, and Submarket 3.

CARES defines Markets as "an aggregated geographic area having a sufficient population and geographic size to both benefit from the coordination and planning of health care services and to support a full healthcare delivery system (i.e. primary care, mental health care, inpatient care, tertiary care, and long term care)". Each Market is built from Submarkets. The key attribute in this data set is the MARKET which is defined as a string of four characters broken down in two parts in the order of HCN (2-char) and Market (1-char) connected by a hyphen. For example, Market 12-a indicates VISN 12 and Market a.

The key attribute in the VISN data set is defined as a string of two characters from 01-23, excluding 3, 11, 13, 14 and 18; a VISN also has an officially recognized VA title. For example, VISN 06 is the Mid-Atlantic Health Care Network. VISNs can span across neighboring countries to include areas that are not contiguous. For example, VISN 08 includes Florida and Puerto Rico in addition to most of Florida and southern Georgia, and VISN 20 includes Alaska and parts of the northwest conterminous United States. Each VISN is built from Markets, Submarkets, Sectors and Counties derived from Census (2010) County data.

Because VISNs are composed of VHA markets, VISN boundaries align with the outer edges of their constituent markets’ boundaries. Markets cross state borders wherever it is necessary to keep outpatient clinics (e.g. Community-Based Outpatient Clinics(CBOCs)) and their catchment areas in the same market as their parent medical centers. Thus, VISN boundaries also cross state borders. In 2016 senior leadership considered the challenge of conforming VISN boundaries to MyVA Districts, which coincide with state boundaries. It was agreed that VHA would not separate outpatient clinics from their parent medical centers due to added complexity. Many outpatient providers hold clinics at their mother facilities and clinics are on the same health record as their parent facilities. VISN and market maps created by VHA Policy and Planning conform to these principals and are the official maps for VHA VISNs and markets.

While the Planning Systems Support Group (PSSG) develops the feature classes depicting the various VHA geographies, the PSSG does not have the authority to modify or reorganize the boundaries. The boundaries are developed at higher levels of the VHA and passed to the PSSG to be translated into spatial features.

The need for cloud services has been raised globally to provide a platform for healthcare providers to efficiently manage their citizens’ health records and thus provide treatment remotely. In Iraq, the healthcare records of public hospitals are increasing progressively with poor digital management. While recent works indicate cloud computing as a platform for all sectors globally, a lack of empirical evidence demands a comprehensive investigation to identify the significant factors that influence the utilization of cloud health computing. Here we provide a cost-effective, modular, and computationally efficient model of utilizing cloud computing based on the organization theory and the theory of reasoned action perspectives. A total of 105 key informant data were further analyzed. The partial least square structural equation modeling was used for data analysis to explore the effect of organizational structure variables on healthcare information technicians’ behaviors to utilize cloud services. Empirical results revealed that Internet networks, software modularity, hardware modularity, and training availability significantly influence information technicians’ behavioral control and confirmation. Furthermore, these factors positively impacted their utilization of cloud systems, while behavioral control had no significant effect. The importance-performance map analysis further confirms that these factors exhibit high importance in shaping user utilization. Our findings can provide a comprehensive and unified guide to policymakers in the healthcare industry by focusing on the significant factors in organizational and behavioral contexts to engage health information technicians in the development and implementation phases.

The need for cloud services has been raised globally to provide a platform for healthcare providers to efficiently manage their citizens’ health records and thus provide treatment remotely. In Iraq, the healthcare records of public hospitals are increasing progressively with poor digital management. While recent works indicate cloud computing as a platform for all sectors globally, a lack of empirical evidence demands a comprehensive investigation to identify the significant factors that influence the utilization of cloud health computing. Here we provide a cost-effective, modular, and computationally efficient model of utilizing cloud computing based on the organization theory and the theory of reasoned action perspectives. A total of 105 key informant data were further analyzed. The partial least square structural equation modeling was used for data analysis to explore the effect of organizational structure variables on healthcare information technicians’ behaviors to utilize cloud services. Empirical results revealed that Internet networks, software modularity, hardware modularity, and training availability significantly influence information technicians’ behavioral control and confirmation. Furthermore, these factors positively impacted their utilization of cloud systems, while behavioral control had no significant effect. The importance-performance map analysis further confirms that these factors exhibit high importance in shaping user utilization. Our findings can provide a comprehensive and unified guide to policymakers in the healthcare industry by focusing on the significant factors in organizational and behavioral contexts to engage health information technicians in the development and implementation phases.

Geo Location Technology Market Outlook

The global Geo Location Technology market size was valued at approximately USD 45.3 billion in 2023 and is expected to reach USD 128.5 billion by 2032, growing at a CAGR of 12.5% during the forecast period. This significant growth is driven by the increasing adoption of location-based services and the rising integration of geolocation technology in various industries. Factors such as the proliferation of smartphones, advancements in GPS technology, and the increasing need for asset tracking and management are key drivers propelling the market forward.

One of the primary growth factors of the Geo Location Technology market is the widespread adoption of smartphones and mobile devices equipped with GPS capabilities. As of 2023, it is estimated that there are over 6 billion smartphone users globally, and this number is expected to increase in the coming years. The integration of geolocation services in these devices has led to a surge in demand for location-based applications such as mapping, navigation, and location-based advertising. These applications enhance user experience by providing real-time information and personalized services based on the user's location, thereby driving the growth of the geolocation technology market.

Another significant growth factor is the increasing use of geolocation technology in the transportation and logistics industry. With the rise of e-commerce and the growing need for efficient supply chain management, companies are increasingly relying on geolocation technology for real-time tracking of goods and assets. This technology helps in optimizing routes, reducing delivery times, and improving overall operational efficiency. Additionally, the implementation of geolocation technology in fleet management systems enables companies to monitor vehicle movements, ensure driver safety, and reduce fuel consumption, further driving the market growth.

The healthcare sector is also contributing to the growth of the Geo Location Technology market. The use of geolocation technology in healthcare applications such as patient tracking, remote monitoring, and emergency response systems has gained significant traction. This technology enables healthcare providers to track the real-time location of patients, especially those with chronic conditions or mental health issues, ensuring timely medical intervention. Moreover, geolocation technology is being used in contact tracing applications to curb the spread of infectious diseases, further boosting its adoption in the healthcare sector.

Location-based Search and Advertising have emerged as pivotal components in the realm of geolocation technology, offering businesses the ability to reach potential customers with unprecedented precision. By leveraging the power of geolocation data, companies can tailor their marketing strategies to target users based on their current or past locations. This not only enhances the relevance of advertisements but also significantly improves conversion rates by reaching audiences at the right place and time. As consumers increasingly rely on mobile devices for information and services, location-based advertising offers a unique opportunity for businesses to engage with their audience in a more personalized and context-aware manner. The integration of location-based search capabilities further empowers users to discover nearby services and products, driving foot traffic to brick-and-mortar stores and enhancing the overall customer experience.

Regionally, North America holds the largest share of the Geo Location Technology market, driven by the presence of major technology companies and the early adoption of advanced technologies. The Asia Pacific region, however, is expected to witness the highest growth rate during the forecast period, owing to the increasing penetration of smartphones, rapid urbanization, and the growing demand for location-based services in emerging economies such as China and India. Europe, Latin America, and the Middle East & Africa also present significant growth opportunities due to the rising adoption of geolocation technology across various industries.

Component Analysis

The Geo Location Technology market is segmented by component into hardware, software, and services. The hardware segment includes GPS devices, sensors, and other geolocation-enabled devices, while the software segment encompasses mapping and navigation software, geolocation APIs, and other related appli

The need for cloud services has been raised globally to provide a platform for healthcare providers to efficiently manage their citizens’ health records and thus provide treatment remotely. In Iraq, the healthcare records of public hospitals are increasing progressively with poor digital management. While recent works indicate cloud computing as a platform for all sectors globally, a lack of empirical evidence demands a comprehensive investigation to identify the significant factors that influence the utilization of cloud health computing. Here we provide a cost-effective, modular, and computationally efficient model of utilizing cloud computing based on the organization theory and the theory of reasoned action perspectives. A total of 105 key informant data were further analyzed. The partial least square structural equation modeling was used for data analysis to explore the effect of organizational structure variables on healthcare information technicians’ behaviors to utilize cloud services. Empirical results revealed that Internet networks, software modularity, hardware modularity, and training availability significantly influence information technicians’ behavioral control and confirmation. Furthermore, these factors positively impacted their utilization of cloud systems, while behavioral control had no significant effect. The importance-performance map analysis further confirms that these factors exhibit high importance in shaping user utilization. Our findings can provide a comprehensive and unified guide to policymakers in the healthcare industry by focusing on the significant factors in organizational and behavioral contexts to engage health information technicians in the development and implementation phases.

The need for cloud services has been raised globally to provide a platform for healthcare providers to efficiently manage their citizens’ health records and thus provide treatment remotely. In Iraq, the healthcare records of public hospitals are increasing progressively with poor digital management. While recent works indicate cloud computing as a platform for all sectors globally, a lack of empirical evidence demands a comprehensive investigation to identify the significant factors that influence the utilization of cloud health computing. Here we provide a cost-effective, modular, and computationally efficient model of utilizing cloud computing based on the organization theory and the theory of reasoned action perspectives. A total of 105 key informant data were further analyzed. The partial least square structural equation modeling was used for data analysis to explore the effect of organizational structure variables on healthcare information technicians’ behaviors to utilize cloud services. Empirical results revealed that Internet networks, software modularity, hardware modularity, and training availability significantly influence information technicians’ behavioral control and confirmation. Furthermore, these factors positively impacted their utilization of cloud systems, while behavioral control had no significant effect. The importance-performance map analysis further confirms that these factors exhibit high importance in shaping user utilization. Our findings can provide a comprehensive and unified guide to policymakers in the healthcare industry by focusing on the significant factors in organizational and behavioral contexts to engage health information technicians in the development and implementation phases.

The Pet Tech market is projected to be valued at $8.5 billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of 14%, reaching approximately $26.2 billion by 2034.

Smart Ear Tags Market Outlook

The global smart ear tags market size is projected to witness significant growth from USD 471 million in 2023 to an estimated USD 1,054 million by 2032, growing at a compound annual growth rate (CAGR) of 9.2% during the forecast period. This robust growth can be attributed to several factors, including the increasing demand for efficient livestock tracking and management systems, advancements in technology, and the growing adoption of smart farming practices. The rising awareness about animal health and the benefits of real-time monitoring are also contributing to the increased demand for smart ear tags across various sectors.

One of the key growth factors driving the smart ear tags market is the growing emphasis on precision agriculture and smart farming techniques. Farmers and livestock owners are increasingly adopting technology-driven solutions to optimize productivity and efficiency in livestock management. Smart ear tags, which offer real-time data on animal health, location, and behavior, are being recognized as essential tools in this digital transformation of agriculture. Furthermore, the integration of IoT and AI in these devices is enhancing their capabilities, allowing for better data analysis and decision-making, which in turn is boosting market growth.

Another significant growth driver for the smart ear tags market is the rising global population and the corresponding increase in demand for food. As the population grows, there is a pressing need to enhance the efficiency of livestock farming to meet the escalating demand for meat and dairy products. Smart ear tags offer a solution by providing critical data that helps in improving animal welfare, reducing losses, and maximizing production efficiency. Moreover, government initiatives and subsidies aimed at promoting sustainable agriculture practices are encouraging the adoption of smart ear tag technologies, thus fueling market expansion.

The increasing concern over wildlife conservation and pet welfare is also playing a crucial role in the growth of the smart ear tags market. Wildlife conservationists and researchers are utilizing smart ear tags to monitor and protect endangered species by tracking their movements and behavior in real-time. Similarly, pet owners are increasingly using these devices to ensure the safety and well-being of their animals. The ease of monitoring and the ability to track the location and health status of pets and wildlife remotely is propelling the adoption of smart ear tags in these sectors.

The integration of an Ear-tag Monitoring System is revolutionizing the way livestock management is conducted. These systems enable farmers to track the health and movement of their animals with unprecedented accuracy. By utilizing advanced sensors and data analytics, the Ear-tag Monitoring System provides real-time insights into animal behavior, helping to identify any anomalies that could indicate health issues. This proactive approach not only enhances animal welfare but also optimizes farm productivity by reducing the risk of disease outbreaks and improving feeding efficiency. As more farmers recognize the benefits of these systems, their adoption is expected to grow, further driving the expansion of the smart ear tags market.

Regionally, North America is anticipated to hold the largest share of the smart ear tags market, driven by the presence of advanced technological infrastructure and a high adoption rate of smart agriculture practices. The Asia Pacific region is expected to witness the fastest growth, with countries like China and India focusing on improving agricultural productivity and livestock management. Meanwhile, Europe is also likely to experience significant growth due to stringent animal welfare regulations and the increasing adoption of smart farming techniques.

Product Type Analysis

The product type segment of the smart ear tags market is categorized into GPS enabled, RFID enabled, and Bluetooth enabled tags. GPS enabled smart ear tags are gaining significant traction due to their ability to provide precise location data, which is crucial for effective livestock and wildlife monitoring. These tags are particularly beneficial in vast agricultural settings and rugged terrains where manual tracking is challenging. The advancement in GPS technology, coupled with decreasing costs, is expected to drive the demand for GPS enabled smart ear tags, making them a preferred choice among farmers and conservationists.&l

Animal Trackers Market Outlook

The global animal trackers market size was valued at approximately USD 1.5 billion in 2023 and is projected to reach around USD 4.5 billion by 2032, growing at a CAGR of 13.1% during the forecast period. The significant growth factor driving this market includes the increasing need for efficient wildlife monitoring systems and the rising adoption of advanced tracking solutions by pet owners and livestock managers.

The growth of the animal trackers market is primarily fueled by the increasing awareness and concerns about animal welfare and conservation. Government and non-governmental organizations (NGOs) are heavily investing in tracking technologies to protect endangered species and monitor wildlife movements for ecological research. The advent of advanced GPS and satellite-based tracking technologies has facilitated better data collection and analysis, allowing for more informed decisions in wildlife conservation efforts.

Moreover, the livestock farming industry is witnessing a surge in the adoption of animal trackers due to the need for efficient herd management and disease control. Livestock managers can monitor the health, location, and behavior of their animals in real-time, significantly reducing the risk of disease outbreaks and improving overall farm productivity. The integration of IoT and AI technologies in animal trackers has further enhanced their capabilities, offering predictive insights and automated alerts.

The pet tracking segment is also experiencing substantial growth, driven by the increasing number of pet owners globally and their willingness to invest in pet safety and security. Modern pet trackers provide real-time location tracking, geofencing, and activity monitoring, offering peace of mind to pet owners. The growing trend of treating pets as family members has led to higher spending on pet care products, including sophisticated tracking devices.

Regionally, North America holds the largest share of the animal trackers market, accounting for over 35% of the global revenue in 2023. The region's dominance is attributed to the high adoption rate of advanced technologies, significant investment in wildlife conservation programs, and the presence of key market players. Europe follows closely, driven by stringent animal welfare regulations and growing awareness about sustainable farming practices. The Asia Pacific region is expected to witness the highest growth rate, with a CAGR of 15.3%, due to the expanding livestock sector and increasing disposable income among pet owners.

Product Type Analysis

The animal trackers market is segmented into GPS trackers, RFID trackers, radio trackers, and others. GPS trackers dominate the market due to their ability to provide precise, real-time location data over vast distances. They are extensively used in wildlife monitoring and pet tracking, offering features such as geofencing, activity monitoring, and health alerts. The continuous advancements in GPS technology and the decreasing cost of GPS devices are expected to further drive the growth of this segment.

RFID trackers are primarily used in livestock management due to their cost-effectiveness and ability to store detailed information about each animal. These trackers are ideal for identifying and tracking large herds, providing data on breeding, health, and movement. RFID technology is evolving with the integration of IoT, enabling remote monitoring and data analysis, which enhances farm management efficiency.

Radio trackers, while less advanced compared to GPS and RFID, are still widely used in wildlife research. They are particularly useful in areas where GPS signals are weak or unavailable. Radio trackers are durable, have long battery life, and can be attached to small animals without hindering their natural behavior. This segment continues to find applications in specific research scenarios, despite the growing preference for more advanced technologies.

Other types of animal trackers include Bluetooth and hybrid trackers that combine multiple tracking technologies. These devices offer versatility and can be tailored to specific tracking needs. Hybrid trackers, in particular, are gaining popularity for their ability to provide comprehensive tracking solutions by leveraging the strengths of different technologies. The ongoing innovation in tracking devices is expected to create new opportunities in this segment.

Report Scope