Terms Of Rank Research Articles

Integrating Qualitative and Quantitative Methods to Evaluate Performance of the Brazilian Network for Continuous Global Navigation Satellite System (GNSS) Monitoring (RBMC)

We discuss a qualitative analysis of the efficiency of the Brazilian Network for Continuous Global Navigation Satellite System Monitoring (RBMC) using the Complex Holographic Assessment of Paradoxical Problems method (CHAP²), whose premise is the organization of intersubjectivity facilitated by the use of visual representation of structured knowledge (conceptual mapping) to increase the degree of consciousness to manage the paradoxes resulting from the complexity of living systems. We also describe a quantitative evaluation using Data Envelopment Analysis (DEA) allowing a ranking in terms of efficiency for further assessment by a professional of the area. The outcome of this study would be useful for IBGE (Brazilian Institute of Geography and Statistics) managers to be aware, for instance, of the suppliers and manufacturers of equipment available (receiver and geodetic antenna, Internet connection and constant supply of electricity) in efficient and ineffective stations, to guide new acquisitions, among other applications.

Digital-Based Policy and Health Promotion Policy in Japan, the Republic of Korea, Singapore, and Thailand: A Scoping Review of Policy Paths to Healthy Aging

People are living longer, and our life has become more digital. Hence, the benefits from digital technology, including economic growth, increasing labor productivity, and ensuring health equity in the face of an aging population emerged as a vital topic for countries around the world. Japan, the Republic of Korea (ROK), Singapore, and Thailand are in the top ten rankings in terms of information and communication technology (ICT) development within the Asia Pacific Region and all are facing challenges of population aging. Well-designed national ICT policy and health promotion policies enabled the countries to make significant progress and development in terms of digitalization and healthy aging. This paper aims to answer questions regarding digitization and health promotion: when it started, how it is going, what are the achievements, and what it holds for the future, considering healthy aging and digitalization by reviewing the national ICT policy and health promotion policies of Japan, Korea, Singapore, and Thailand. This paper is expected to help readers build a comprehensive understanding of each country's journey towards building a healthy aging digital society. Furthermore, we hope this paper can be a source for countries to exchange experiences and learn from each other with a joint goal of building a healthy aging digital society.

Resource-efficient performance testing of metalworking fluids utilizing single-point milling

ABSTRACT Metalworking fluids have the ability to extend cutting tool life and improve the machinability of materials. There is a need for the development of reliable machining tests which can be used to screen fluids with high confidence to allow for ranking in terms of performance. This study developed a novel methodology utilizing single-point milling to evaluate fluid performance in terms of tool wear and cutting forces across various aerospace alloys. The repeatability of the procedure was assessed and demonstrated by using standard deviation. The study showed alternative cutting fluid compositions could influence tool life performance across all the aerospace material variants. Inconel 718 was shown to be the hardest material to machine followed by Titanium Ti–5Al–5Mo–5V–3Cr and Titanium Ti–6Al–4V. However, with each material, there was a differentiation in fluid performance with up to 11% difference in average tool life between different fluids.

Optimization of vehicle structural parameters considering stability improvement

The main structural parameters that affect vehicle bifurcation characteristics and the safe basin are obtained, with the goal of improving the stability. First, the distribution of the system equilibrium points in three-dimensional space is studied, and the bifurcation characteristics of the front steering angles are obtained. Second, the front steering angle range corresponding to the bifurcation point (FSAR-BP) and the safe basin of the system (SBS) are determined and used as optimization objective functions. Considering the influence of the structural parameters on the FSAR-BP and SBS, a sensitivity analysis of the parameters is performed to establish their importance ranking in terms of their influence on the FSAR-BP and SBS. Third, a non-dominated sorting genetic algorithm II (NSGA-II) is utilized to optimize the parameters, and the competitive Pareto parameter optimization solution sets are obtained. Finally, the three solution sets with better comprehensive performance are selected for comparison with the pre-optimized set in the FSAR-BP and SBS. The results indicate that the optimized FSAR-BP increased by 218.81%, 237.83%, and 267.88%, and the optimized SBS increased by 207.52%, 197.06%, and 173.93%, respectively.

ADAPTIVE ABILITY VARIETIES OF SOY UNDER DIFFERENT GROWING CONDITIONS

The article presents the results of studies evaluating soybean varieties for adaptability in different soil and climatic conditions in terms of grain productivity, the duration of the "seedling-flowering" interphase period, and the weight of 1,000 seeds. Soybean varieties were ranked according to plasticity and stability according to their response to environmental factors.Soybean varieties Hoverla, Artemis and Amethyst, according to the results of calculations of plasticity (bі) and stability (Si²) indicators, belonged to the fifth rank in terms of grain productivity. Therefore, it can be argued that these varieties have better results under favorable growing conditions and are stable, they need to be grown in conditions of increased agricultural culture.Shifting the flowering of soybeans to an earlier period, while preserving the overall length of the growing season, makes it possible to increase drought resistance due to the early transition to the critical water consumption generative phase.The shortest interphase germination-flowering period in terms of test points and years of research was noted in the varieties Amethyst - 41.6, Hoverla - 44.6, and Artemis - 45.3 days. Hoverla, Zolotista, Vezha and Oriana varieties were highly adaptable to growing conditions. These varieties were distinguished by a slight reaction to the change in edapho-climatic conditions, providing stable indicators for the duration of the interphase seedling-flowering period, the coefficient of plasticity (bi) < 1 and are classified as the first rank, providing the best results in adverse growing conditions.A slight decrease in the weight of 1,000 seeds over a long period of research is an indicator of drought resistance of the variety. The Hoverla and Amethyst varieties had the highest values of 157.5 and 154.8 g for the weight of 1000 seeds, as well as for homeostaticity – 53.8 and 45.7 and the highest agronomic stability (As) – 97.1 and 96.6.

Baseflow Persistence and Magnitude in Oil Palm, Logged and Primary Tropical Rainforest Catchments in Malaysian Borneo: Implications for Water Management under Climate Change

While timber harvesting has plateaued, repeat-logging and conversion into plantations (especially oil palm) are still active in the tropics. The associated hydrological impacts especially pertaining to enhanced runoff, flood, and erosion have been well-studied, but little attention has been given to water resource availability in the humid tropics. In the light of the increasing climate extremes, this paper compared baseflow values and baseflow recession constants (K) between headwater catchments of five differing land-uses in Sabah, Malaysian Borneo, namely primary forest (PF), old growth/virgin jungle reserve (VJR), twice-logged forest with 22 years regeneration (LF2), multiple-logged forest with 8 years regeneration (LF3), and oil palm plantation (OP). Hydrological and meteorological sensors and dataloggers were established in each catchment. Daily discharge was used for computing K via four estimation methods. Catchment ranks in terms of decreasing K were VJR (0.97841), LF3 (0.96692), LF2 (0.90347), PF (0.83886), and OP (0.86756). Catchment ranks in terms of decreasing annual baseflow were PF (1877 mm), LF3 (1265 mm), LF2 (812 mm), VJR (753 mm), and OP (367 mm), corresponding to 68%, 55%, 51%, 42%, and 38% of annual streamflow, respectively. Despite the low K, PF had the highest baseflow magnitude. OP had the fastest baseflow recession and lowest baseflow magnitude. Baseflow persistence decreased with increasing degree of disturbance. K showed strong association to catchment stem density instead of basal area. For dynamic catchments in this study, the Kb3 estimator is recommended based on its lowest combination of coefficient of variation (CoV) and root mean squared error (RMSE) of prediction. For wetter catchments with even shorter recession events, the Kb4 estimator may be considered. Regarding climate change, logging and oil palm agriculture should only be conducted after considering water resource availability. Forests (even degraded ones) should be conserved as much as possible in the headwaters for sustainable water resource.

МИРОВОЕ ПРИЗНАНИЕ КОНКУРЕНТОСПОСОБНОСТИ УЗБЕКИСТАНА В ГЛОБАЛЬНОМ ИННОВАЦИОННОМ ИНДЕКСЕ

Based on the results of the analysis of the development trend of the global innovation economy, the presence of high competition in the GII ranking, including in the group of 50 advanced countries of the ranking, was revealed. Based on the analysis of the countries of the Top 50 GII rankings in terms of per capita income, the possibility of Uzbekistan entering the top 50 countries of the GII rankings is substantiated. The ratings of Vietnam and India are analyzed as accompanying countries for the entry of Uzbekistan into the Top 50 countries of the GII rating. In order to improve the “Human Capital and Research” index, it is proposed to study the experience of Kazakhstan. The results of the study will serve as the basis for the formation of the Strategy for Innovative Development of the Republic of Uzbekistan in subsequent years.

The state of health in Belgium, 1990–2019: a benchmarking analysis based on the Global Burden of Disease 2019 study

BackgroundIn a context of decreasing resources and growing health needs, evidence-based health and care policies are essential. This study aims to assess the health trends in Belgium between 1990 and 2019, to compare the Belgian health status to that of the EU-15 countries, and to identify the main drivers in trends over time and country differences within the EU-15.MethodsWe extracted estimates from the GBD 2019 study via the GBD results tool and visualization tools. We compared the Belgian health status with 14 European Union comparator countries between 1990 and 2019, and decomposed the time trends and country differences into the unique contributions of the different underlying causes of death and disability.ResultsLife expectancy (LE) in Belgium improved significantly between 1990 and 2019 for both men and women. Belgium age-standardised mortality rates dropped significantly for men (-40%) and women (-33%) between 1990 and 2019. Overall, Belgium age-standardised disability-adjusted life year (DALY) rates dropped by 23%. This decrease is mainly due to decreasing trends in age-standardised years of life lost (YLL) rates while age-standardised years lived with disability (YLD) rates remained stable. Compared to EU-15, Belgium’s ranking in terms of age-standardised DALY rates worsened for both men and women in 2019. Self-harm and falls are major causes of disease burden, with DALY rates that are higher than in many other EU-15 countries, indicating a realistic potential for improvement. Lung cancer DALY rates remain worrisome for men, and even show an increasing trend for women. Increasing trends of headache disorders, drug use disorders, and diabetes, require further attention.ConclusionNon-communicable diseases remain the main contributors for health burden in Belgium, with disability accounting for an increasingly larger share of the disease burden. Despite considerable improvements, Belgium’s ranking for DALYs decreased between 1990 and 2019 compared to the EU-15. This study identified priority causes of disease burden based on their contributions to current evolutions and EU-15 differences. Since many of these causes are considered to be avoidable, primary and secondary prevention are crucial elements for reducing the burden of disease on the healthcare system.

A constrained multiobjective evolutionary algorithm with the two-archive weak cooperation

The significant issue to solve constrained multiobjective optimization problems (CMOPs) is to keep the balance between objectives and constraints, but the existing evolutionary algorithms are in the face of challenges for solving CMOPs with complex feasible regions. Based on this purpose, a constrained multiobjective evolutionary algorithm with the two-archive weak cooperation (CMOEA-TWC) is proposed in this article. In CMOEA-TWC, two archives are evolved, which are denoted as driving archive and normal archive, respectively. Besides, the weak cooperation of two archives is designed for sharing valuable information between archives. Specifically, the driving archive only considers objectives, while the normal archive considers both objectives and constraints. In addition, the minimum shift-based density estimation-based (SDE) distance is adopted to enhance the diversity of solutions in the driving archive, and a strict constrained dominance principle is designed to improve the feasibility of solutions in the normal archive. The proposed algorithm is tested on 47 CMOPs of 4 benchmark suites with the comparison of 4 state-of-the-art algorithms. The experimental results demonstrate that the average ranks in terms of inverted generational distance (IGD) outperform those of existing state-of-the-art competitors.

Bounds for 2-Selmer ranks in terms of seminarrow class groups

Let $E$ be an elliptic curve over a number field $K$ defined by a monic irreducible cubic polynomial $F(x)$. When $E$ is \textit{nice} at all finite primes of $K$, we bound its $2$-Selmer rank in terms of the $2$-rank of a modified ideal class group of the field $L=K[x]/{(F(x))}$, which we call the \textit{semi-narrow class group} of $L$. We then provide several sufficient conditions for $E$ being nice at a finite prime. As an application, when $K$ is a real quadratic field, $E/K$ is semistable and the discriminant of $F$ is totally negative, then we frequently determine the $2$-Selmer rank of $E$ by computing the root number of $E$ and the $2$-rank of the narrow class group of $L$.

Yield and adaptability of spring wheat varieties of different maturity groups under forest-steppe conditions of the Northern Trans-Urals

In the article, the authors present data on the yield of spring wheat varieties based on the results of their testing on a fallow predecessor in the conditions of the northern forest-steppe zone of the Tyumen region for 2019–2021. The study aims to comprehensively assessment of mid-early and mid-season varieties of spring wheat based on their ranking in terms of yield and adaptability parameters. The authors note a significant variation in the index of environmental conditions during the years of variety testing. The highest average yield was noted in the varieties Tyumenskaya 25 (mid-early, 47.7 c/ha) and KVS Akvilon (mid-ripening, 47.8 c/ha). The stress resistance index is low in all varieties and mid-season ones especially. All varieties were characterized by significant yield variability - from 21.0 (Novosibirskaya 15) to 28.7% (KVS Akvilon). Strong responsiveness to changing conditions was found in varieties Tyumenskaya 25 (bi = 1.25) and KVS Akvilon (bi = 1.21). These varieties are intense. Most varieties with a regression coefficient equal to or close to one were characterized as plastic and classified as semi-intensive. The level of yield stability of varieties is low. The best varieties in this parameter were Ekaterina (Ist = 1.91) and Ikar (Ist = 1.93). The varieties Tyumenskaya 25 (OAS = 4.1) and KVS Akvilon (OAS = 2.2) were characterized by the highest general adaptive ability. According to the sum of the ranks assessing the parameters of productivity and adaptability, the varieties Tyumenskaya 25 and Ekaterina were recognized as the best in the group of mid-early varieties (the sum of ranks, respectively, 17) and the group of mid-ripening varieties, KVS Akvilon (the sum of ranks, 17).

Different treatments for 3- or 4-part proximal humeral fractures in the elderly patients: A Bayesian network meta-analysis of randomized controlled trials.

BackgroundProximal humeral fractures are the third most common fracture in the body, and their incidence is rising year by year as the population ages. However, the treatment of the proximal humerus in parts 3 and 4 is still debatable, necessitating a network meta-analysis to determine the best treatment for each treatment modality.MethodsWe searched PubMed, Embase, Cochrane Library for randomized controlled trials on proximal humeral fractures up to June 21, 2022. We performed data extraction and literature quality assessment by two independent authors and extracted constant score and reoperation rate as indicators for evaluation. Stata software, Revman software, JAGS software and the R-based BlandAltmanLeh package, gemtc package and riags package were used to perform this Bayesian network meta-analysis.ResultsFollowing screening, 11 papers with a total of 648 participants were included in the analysis. The SUCRA values for the constant score were in the following order: RSA, IMN, Conservative, HA, and LP, and the SUCRA values for the reoperation rate were LP, HA, IMN, Conservative, and RSA.ConclusionThe elderly with 3- or 4-part proximal humeral fractures should consider RSA because it received the best evaluation ranking in terms of constant score and reoperation rate. Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022341209, identifier: CRD42022341209.

Comprehensive assessment of 20 state-of-the-art multi-objective meta-heuristic algorithms for multi-reservoir system operation

Optimal operation of multi-purpose multi-reservoir dams is a challenging problem for dams’ stakeholders and decision-makers. Optimization algorithms are able to present reliable solutions for such complex problems. This study compared the capability of 20 state-of-the-art robust meta-heuristic algorithms for determining the optimal operating policy of Halilrood multi-reservoir system under the three competing operational objectives of water supply, flood control, and hydropower generation. Before that, the performance of the algorithms in solving two benchmark problems (the Schaffer problem and the MMF1 problem from the CEC suite) was evaluated. Four metrics of generational distance (GD), spacing (S), spread (Δ), and maximum spread (MS) were used to compare the algorithms’ performance in solving the benchmark problems. In addition, four reservoirs performance evaluation indicators of reliability (Rel), resiliency (Res), vulnerability (Vul), and sustainability index (SI) were used to ass the algorithms’ performance in solving the real-case Halilrood problem. The results showed that although the solving capability of each algorithm depends on the nature of the problem, some algorithms were always superior in solving all three problems (2 benchmark problems and one real case). For the Schaffer benchmark problem, the MOAHA algorithm with the performance metrics of (GD = 0.00095, S = 0.58155, Δ = 0.20375, MS = 4.0002) had the best Pareto front in terms of coverage and diversity, and so it was placed at the first rank. In this problem, the MOCryStAl algorithm with (GD = 0.00141, S = 0.48395, Δ = 1.49467, MS = 3.94799) placed at the lowest rank. For the MMF1 problem, the MOMA (GD = 0.00751, S = 0.07516, Δ = 0.29519, MS = 0.99826) followed by the MOAHA (GD = 0.00833, S = 0.07660, Δ = 0.17832, MS = 1.00) had the best performance, respectively, and the MOFA algorithms was the worst. For the Halilrood real-case problem, the MOGWO algorithm (with Rel = 83.41, Res = 67.57, Vul = 22.07 and SI = 76.01) followed by the MOAHA algorithm (Rel = 84.57, Res = 64.71, Vul = 33.60, and SI = 71.41) and the MOMA algorithm (Rel = 79.82, Res = 66.67, Vul = 21.65, and SI = 74.70) obtained the best ranks in terms of reservoir's performance evaluation indicators. They could successfully minimize all three objectives of the total deficit, the flood control and electricity generation indicating the highest performance of these algorithms in the optimization problem. The Pareto front obtained by these algorithms had better distribution and was closer to the origin of coordinates compared to the other utilized algorithms. They could favorably supply the total water demand in the Halilrood basin while increasing the hydropower energy generation up to the power plant capacity at the Jiroft dam. The results of this study can be applied to the optimal operation of any other multi-reservoir system with conflict in water demands.

A Scientometric Analysis of Energy Management in the Past Five Years (2018–2022)

Energy management is an essential part of the integration of renewable energy in energy systems, electric vehicles, energy-saving strategies, waste-heat recovery, and building energy. Although many publications considered energy management, no study addressed the connection between scientists, organizations, and countries. The present study provides a scientometric analysis that addresses the trend of publications and worldwide dynamic maps of connectivity and scientists, organizations, and countries and their contribution to energy management. The results showed that Javaid Nadeem published the most papers in the field of energy management (90) while Xiao Hu received the most citations (1394). The university with the highest number of publications in energy management is the Islamic Azad University (144 papers), while the Beijing Institute of Technology has received the most citations (2061 citations) and the largest h-index (28). China and the United States are in the first and second rank in terms of total publications, citations, and h-index. Pakistan has the most publications relative to the country’s research and development investment level. The maps of co-authorship show islands of isolated groups of authors. This implies that the researchers in energy management are not well-connected. Bibliographic coupling of countries revealed China and USA are influential contributors in the field, and other countries were coupled mostly through these two countries.

The importance of market signals in crop varietal development: lessons from Komboka rice variety

Growing high-yielding varieties is crucial for successful crop production and maximizing farmers’ net returns. One such example is IR05N221, locally referred to as Komboka rice variety, which was released in Kenya in 2013. On the one hand, Komboka can bridge the gap in rice imports since yields of existing rice varieties do not meet the increasing rice consumption levels of the Kenyan population. On the other hand, it has taken about seven years for Komboka to be appreciated by farmers, necessitating the need to understand farmer preferences when it comes to adopting a new improved variety. We used a mixed-method study approach by combining quantitative and qualitative data collected regionally and locally in both rainfed and irrigated ecologies. When compared to most of the other rice varieties under evaluation, Komboka was high-yielding, early-maturing, and had moderate tolerance to diseases in both rainfed and irrigated ecologies. However, farmers at the regional level ranked Komboka either at the same or lower rank in terms of sensory attributes. At the local level, farmers predominantly grew older and more aromatic Basmati 370 rice variety for sale, as it fetched them more money, with preferences for both men and women rice farmers being the same. Despite Komboka being a high-yielding variety, Mwea rice farmers’ perceptions and preferences for this improved variety were low. While Komboka was equally aromatic, the lack of a ready market dissuaded these farmers from widely preferring the new Komboka variety. We provide prerequisite information that can support the commercialization and promotion of the Komboka variety. We also show that widespread favourable perception of new varieties hinges on matching preferences between breeders’ efforts for improved rice productivity with farmers’ needs for market competitiveness in these new varieties.

Multi-objective optimization of reinforced concrete cantilever retaining wall: a comparative study

This paper investigates the performance of four multi-objective optimization algorithms, namely non-dominated sorting genetic algorithm II (NSGA-II), multi-objective particle swarm optimization (MOPSO), strength Pareto evolutionary algorithm II (SPEA2), and multi-objective multi-verse optimization (MVO), in developing an optimal reinforced concrete cantilever (RCC) retaining wall. The retaining wall design was based on two major requirements: geotechnical stability and structural strength. Optimality criteria were defined as reducing the total cost, weight, CO2 emission, etc. In this study, two sets of bi-objective strategies were considered: (1) minimum cost and maximum factor of safety, and (2) minimum weight and maximum factor of safety. The proposed method's efficiency was examined using two numerical retaining wall design examples, one with a base shear key and one without a base shear key. A sensitivity analysis was conducted on the variation of significant parameters, including backfill slope, the base soil’s friction angle, and surcharge load. Three well-known coverage set measures, diversity, and hypervolume were selected to compare the algorithms’ results, which were further assessed using basic statistical measures (i.e., min, max, standard deviation) and the Friedman test with a 95% level of confidence. The results demonstrated that NSGA-II has a higher Friedman rank in terms of coverage set for both cost-based and weight-based designs. SPEA2 and MOPSO outperformed both cost-based and weight-based solutions in terms of diversity in examples without and with the effects of a base shear key, respectively. However, based on the hypervolume measure, NSGA-II and MVO have a higher Friedman rank for examples without and with the effects of a base shear key, respectively, for both the cost-based and weight-based designs.

Knowledge Development in Tourism Distribution Channels: From Single Channel to Omnichannel

The aim of this paper is to examine the periodic changes within the content of tourism distribution channels and identify key themes in this field. The study will be able to identify changes and trends by examining through scientific/academic research.A bibliometric method was employed. About 6245 publications in the Web of Science database were analyzed using VOS viewer, as the study tool.The results show an increasing trend in scientific publications on distribution channels in field of tourism by the last decade. The year 2019 held highest rank in terms of the total number of scientific papers published per year with 813 articles, and the highest citation rate belongs to 2017 with 10037 citations. Also, the majority of the publications in this field were original research articles (57.90%), and Law R., Buhalis D., Pan B., and Xiang Z. were identified as the most productive and most-cited researchers. Besides, co-authorship network visualization of journals in the field of tourism distribution channels was implemented. Co-word analysis was then used to track the evolution of research themes over time. The key themes are Single-channel, Dual-channel, Multi-channel, Cross-channel, and Omni-channel. Finally, this study calls for future research in the field of tourism distribution channels.

ПОГЛЕД НА УОБИЧАЈЕНИ ПОРЕДАК ПРЕДАЧКИХ НАЗИВА У СРПСКОМ ЈЕЗИКУ

The terminology of consanguinity is very rich and copious in Serbian language. It was documented and scholarly explored. Specific part of the terminology of consanguinity are the chains of terms for ancestors. In Serbian language, they are linguistically realistic, documented from the varied sources, and the majority of it is made from nine, the longest one from fourteen terms for ancestors. By comparing the chains documented it has been given the usual ranking of terms for ancestors in chains of terms for ancestors in Serbian language.

Hate crime towards minoritized groups increases as they increase in sized-based rank.

People are on the move in unprecedented numbers within and between countries. How does demographic change affect local intergroup dynamics? Complementing accounts that emphasize stereotypical features of groups as determinants of their treatment, we propose the group reference dependence hypothesis: violence and negative attitudes towards each minoritized group will depend on the number and size of other minoritized groups in a community. Specifically, as groups increase or decrease in rank in terms of their size (for example, to the largest minority within a community), discriminatory behaviour and attitudes towards them should change accordingly. We test this hypothesis for hate crimes in US counties between 1990 and 2010 and attitudes in the United States and United Kingdom over the past two decades. Consistent with this prediction, we find that as Black, Hispanic/Latinx, Asian and Arab populations increase in rank relative to one another, they become more likely to be targeted with hate crimes and more negative attitudes. The rank effect holds above and beyond group size/proportion, growth rate and many other alternative explanations. This framework makes predictions about how demographic shifts may affect coalitional structures in the coming years and helps explain previous findings in the literature. Our results also indicate that attitudes and behaviours towards social categories are not intransigent or driven only by features associated with those groups, such as stereotypes.

Information management in the facilities domain: investigating practitioner priorities

PurposeEffective information management can help real estate operators improve asset performance during use, reducing environmental impact. The purpose of this exploratory study is to identify and prioritise key drivers, challenges and opportunities relating to information management, from the point of view of a diverse cohort of facilities practitioners, with the aim of guiding future research direction and contributing to a comprehensive domain understanding.Design/methodology/approachNine interviews are conducted across a broad sample of real estate sectors, the respondents including six facility managers and three data managers. A thematic analysis results in the identification and ranking in terms of importance of 44 emergent themes. These themes are then grouped into abstracted categories for analysis and synthesis.FindingsThis study indicates that systemic rather than technical issues are the greatest barrier to effective information management for facilities practitioners, the interviews providing examples of practical measures which address these challenges, promoting lifecycle thinking. Alignment is also found between the facilities and data management cohorts regarding lifecycle thinking towards both physical assets and information.Practical implicationsThis study provides direction for future developments in the facilities sector, suggesting the pursuit to address systemic issues as being both worthwhile and feasible.Originality/valueThe novelty of this study is the ranking and synthesis of practitioner priorities with regard to high-level information management issues which is lacking in the literature, with a focus to-date on case-specific technical integration.