Decision Phase Research Articles

Administration safety and occupational risks relationship with job position training quality and needs of medical public health services workforce correlated by political leadership interventions

<b>Background:</b> Workplaces are changing, work exposures are changing, and medical public health workers’ ability to continue doing productive and healthy work is being impacted by social, technical, environmental, economic, and political pressures. This Research has shown the strong link between safety and occupational risks relationship with job position training quality and needs, and their consequences on medical public health services workforce. To determine the severity of the impact as signs of presents a range of threats provides evidence of the perceived risks predictors of these needs, although the sociodemographic characteristics describe the frequency of risk exposure.<br /> <b>Methods:</b> This research is a nationwide study in Greece, construction March to June of 2022. For data collection, a web link was distributed to respondents by email. Providing n=185 responses, safety and occupational risks classification, and were measured with a questionnaire instrument developed, and also a questionnaire developed instrument for measured training needs and quality. ANOVAs one-way test to define variable properties job position, training quality, and training needs correlated by political leadership interventions factor (F).<br /> <b>Results: </b>Chemical risks scores for head of office (median [Mdn]=2.13) were higher to all other job position, <i>χ<sup>2</sup></i>= 10.991, p<0.05. Biological risks for head of office (Mdn=3.08) were higher compared to all other categories, <i>χ<sup>2</sup></i>=20.770, p<0.01. Psychosocial risks scores for employees (Mdn=3.08) were higher compared to all other categories, <i>χ<sup>2</sup></i>=11.349, p<0.05. Organizational risks scores for employees (Mdn=2.84) and head of office (Mdn=2.78) were higher compared to all other categories, and the Kruskal-Wallis test indicated that this difference was statistically significant, <i>χ<sup>2</sup></i>(4)=18.278, p<0.01. Perceived training quality 43.78% of participants rate as low (<i>β</i>=0.195, p=0.002), and 65.41% high training needs.<br /> <br /> <b>Conclusions:</b> Adding new data to advance the quality of public health services provision organizational support, benefits, resources, and personal protective equipment. Assist in the planning and decision-making phase management provide educational training programs of medical public health workforce to ensure sustainability and optimal performance. There has never been a greater need for trustworthy and unbiased information to assist and guide policymakers, employers, and employees as they go forward.

Downward Accountability of NGOs in Bangladesh: Theoretical Issues and Empirical Investigation

This article analyses overall NGO accountability and accountability to beneficiaries in particular. It is based on the collection of qualitative data from four NGOs in Bangladesh. The participation of beneficiaries has been disaggregated into three phases for more analytical discussion: decision-making, implementation, and evaluation. The study results reveal that the participation of beneficiaries is much higher in the project/program implementation phase. The condition is alarming for the decision-making and evaluation phase, where participation is more rhetoric and sham rituals than the actual exercise. The study also identified some formal and informal mechanisms of participation.

How Early Head Start Home Visitors Foster or Impede Shared Decision-Making with Families

ABSTRACT Rather than professional-driven decisions, shared decisions are central to family-centered philosophy and practices. This qualitative study investigated how four home visitors and 12 families engaged in institutional decision-making about 16 infants and toddlers enrolled in Early Head Start. The following research question was addressed: How do home visitor discursive strategies contribute to family participation during institutional decision-making about their child? Discourse analysis of detailed home visit transcripts focused on two phases of decision-making: (1) how home visitors opened decision-making, and (2) how home visitors signaled the opportunity for families to participate in making a choice. Although eight approaches were identified across both phases, only two aligned with features of shared decision-making. Instead, home visitors predominantly used unilateral approaches that drew on professional and curricular authority to narrow how families could participate in decision-making about their child. Unilateral approaches set the stage to enact professional recommendations without meaningful family participation, and created a context where home visitors could subtly exert decision-making control over families. Examining details of how decision-making unfolded contributes nuanced information about what shared decisions do – and do not – sound like, and offers insight into discursive strategies that better enact equitable partnerships with families.

Which decision-making stages matter more? Influencer’s perceived credibility, sponsorship and moderating role of trust

Purpose By acknowledging the importance of micro-influencers and all decision-making process stages, this study aims to explore the impact of perceived influencer’s credibility, impacted by the sponsorship absenteeism, on problem recognition, information search, alternative evaluation, purchase and post-purchase. Additionally, the authors investigate the moderating role of trust level on the researched relationships. Design/methodology/approach This study focuses on 111 young Croatian consumers of cosmetic products. The authors analysed data with confirmatory factor and regression analyses. Findings This study reveals positive relationships between micro-influencers’ perceived credibility and all decision-making phases. The research results also show that the lack of sponsorship positively influences perceived credibility. Furthermore, results indicate that the trust level is an essential moderator for the relationships between perceived credibility and sponsorship and information search and buying stages. Research limitations/implications Limitations include the convenience sampling method and data collection at one point while also focusing on consumers from one country. Practical implications This study provides practical implications for companies outlining the marketing activities that should be considered in all stages of the decision-making process while recognising the attractiveness of micro-influencers for the buying experience. Originality/value This study fills gaps in the literature on micro-influencers credibility in general and particularly in the cosmetics industry. In addition, the study fills the gaps in the literature considering the impact of perceived micro-influencer credibility on all five decision-making process stages.

Experiences and perceptions of acute myocardial infarction patients with a prolonged decision-making phase of treatment seeking: A meta-synthesis.

To describe the experiences and perceptions of acute myocardial infarction (AMI) patients with a prolonged decision-making phase of treatment-seeking. Previous attempts to reduce the treatment-seeking time of AMI have been less than optimal. Due to the coronavirus disease 2019 (COVID-19) pandemic, the situation of prehospital delay is possibly worse. Decisions to seek treatment are influenced by multiple factors and need individualised interventions. Understanding patients' external and internal experiences and psychological perceptions is essential. Meta-synthesis. We searched PubMed, Embase, Cochrane Library, Web of Science, Scopus and four Chinese databases from inception to April 2022. We screened the retrieved articles with predetermined inclusion and exclusion criteria, and reviewed articles using Thomas and Harden's (BMC Medical Research Methodology, 2008 8, 45) qualitative thematic synthesis approach. The Joanna Briggs Institute critical appraisal tool for qualitative research was used to assess the quality of studies. Twenty-one studies were included, identifying four themes and nine sub-themes. The four primary themes were difficulty recognising and attributing symptoms, attempt to act, unwillingness to change and self-sacrifice. Deciding to seek treatment is a complex social and psychological process, which needs comprehensive interventions considering personal and sociocultural factors and factors related to the COVID-19 pandemic. Details of interventions for decisions to seek treatment in AMI patients need to be further designed and evaluated. Results would help healthcare professionals to implement individualised management of decision-making of treatment-seeking among AMI patients, and improve medical records of patients' prehospital experiences. The Preferred Reporting Items for Systematic Reviews 2020 checklist was used to report the findings. Two AMI patients contributed to the data synthesis by giving simple feedback about the final themes.

Effects of mindfulness training on decision-making in critical and high-demand situations: A pilot study in combat aviation

The current study investigated the effects of a mindfulness-based training program (Attentional Regulation Optimization) on decision-making in an elite population operating in a highly-demanding context, namely the actions of fighter pilots in critical flight situations that lead to ejection. Our hypothesis was that both mindfulness skills and decision-making performance would improve in pilots who participated in the ARO program (n = 7), compared to a control group (n = 8). Mindfulness skills were measured with the FFMQ-15. Decision-making performance was evaluated in two tests that were implemented in scenarios in a full flight simulator. Five dependent variables were assessed, corresponding to the phases of the decision-making process when faced with an in-flight failure: reaction time after the first failure input, correctness of the first action, emergency procedure score, ejection procedure score, and quality of ejection. Adherence to the ARO program was assessed with the number of out-of-class individual mindfulness sessions and the number of out-of-class body-mind scans.No statistically significant improvement in mindfulness skills for the ARO group compared to the control group were found. Reaction time was significantly shortened for the ARO group compared to the control group—but only for complex failures. A positive effect on the correctness of the first action was also found. On the other hand, ARO training had no significant effect on the downstream phases of decision-making (emergency procedure score, ejection procedure score and quality of ejection).Given the small sample size, these results must be considered with caution. However, they open up interesting avenues for future work, notably with regard to the benefits of mindfulness training on perceptual and attentional skills (to detect flight failure cues) and cognitive control skills (to diagnose and select appropriate procedures). From an operational perspective, the program appears to have beneficial effects on safety and performance in elite populations who must face critical situations.

Optimising LCA in complex buildings with MLCAQ: A BIM-based methodology for automated multi-criteria materials selection

Recent scientific studies have highlighted the importance of integrating Life Cycle Assessment (LCA) in the construction industry to achieve the future sustainable plans. At the moment, most of existing LCA methodologies have failed to automate the calculation process, causing delays in the decision-making and design phases. Moreover, the complexity of buildings poses significant challenges to the calculation. To address this, the authors developed the MLCAQ, a streamlined methodology designed to compare different material alternatives based on the environmental and economic cost impact and guide the early design stages. To implement the methodology, the study presents the development of a BIM-based software and validates its application in a high-rise building. The research compares multi-dimensions of two sets of construction materials, analysing the total economic cost, CO2 emissions, embodied energy and waste mass. The results demonstrate the effectiveness, replicability, consistency and viability of the tool. The data generated from the system indicates that using circular materials results in a significant reduction in embodied energy (26.40%), CO2 emissions (24.55%) and waste mass (49.19%), as well as a net reduction of €7.6 million in total economic cost. The research contributes to the integration of multi-dimensional real-time assessment into the building design process.

Needs for supporting women undergoing termination of pregnancy for fetal anomaly: A phenomenological study based on the cognitive–emotional–behavioral framework

ObjectiveTo determine and describe the needs of women undergoing termination of pregnancy for fetal anomaly (TOPFA) in China. Study designQualitative study with semi-structured interviews. Consolidated Criteria for Reporting Qualitative Studies checklist was used for reporting. SettingThree general hospitals and one special hospital in Changsha, Hunan, China. Participants12 women who had undergone TOPFA and 12 healthcare providers who had experienced in caring for these women. MethodsThis study was based on the cognitive–emotional–behavioral framework (CEBF) of women who had to undergo TOPFA. Twenty-four participants (12 women and 12 healthcare providers) were recruited from two hospitals in China. Semi-structured face-to-face interviews were conducted based on interview guides. ATLAS.ti software was used to encode and analyze data. Qualitative content analysis was also applied. FindingsFour themes emerged: information, emotional, professional psychological, and social supports. Each theme was subdivided into four phases for a detailed description of the temporal order (denial, confirmation, decision-making, and recovery phases) within the framework. Key conclusions and implications for practiceOur study analyzes the four needs of women who underwent TOPFA and the specifics of each need at different phases based on the CEBF. The importance of offering professional psychological support, detailed information, timely emotional support, and comprehensive social support for these women is illustrated. This study contributes to the understanding of women's needs, hence providing a theoretical basis for the construction of supportive programs.

Motion analysis of dyadic talk during joint search and decision-making – A replication study

Human interaction frequently includes decision-making processes during which interactants call on verbal and non-verbal resources to manage the flow of interaction. In 2017, Stevanovic et al. carried out pioneering work, analyzing the unfolding of moment-by-moment dynamics by investigating the behavioral matching during search and decision-making phases. By studying the similarities in the participant's body sway during a conversation task in Finnish, the authors showed higher behavioral matching during decision phases than during search phases. The purpose of this research was to investigate the whole-body sway and its coordination during joint search and decision-making phases as a replication of the study by Stevanovic et al. (2017) but based on a German population. Overall, 12 dyads participated in this study and were asked to decide on 8 adjectives, starting with a pre-defined letter, to describe a fictional character. During this joint-decision task (duration: 206.46 ± 116.08 s), body sway of both interactants was measured using a 3D motion capture system and center of mass (COM) accelerations were computed. Matching of body sway was calculated using a windowed cross correlation (WCC) of the COM accelerations. A total of 101 search and 101 decision phases were identified for the 12 dyads. Significant higher COM accelerations (5.4*10−3 vs. 3.7*10−3 mm/s2, p < 0.001) and WCC coefficients (0.47 vs. 0.45, p = 0.043) were found during decision-making phases than during search phases. The results suggest that body sway is one of the resources humans use to communicate the arrival at a joint decision. These findings contribute to a better understanding of interpersonal coordination from a human movement science perspective.

Fluid-structure interaction analysis of transcatheter aortic valve implantation.

Transcatheter aortic valve implantation (TAVI) is a minimally invasive intervention for the treatment of severe aortic valve stenosis. The main cause of failure is the structural deterioration of the implanted prosthetic leaflets, possibly inducing a valvular re-stenosis 5-10 years after the implantation. Based solely on pre-implantation data, the aim of this work is to identify fluid-dynamics and structural indices that may predict the possible valvular deterioration, in order to assist the clinicians in the decision-making phase and in the intervention design. Patient-specific, pre-implantation geometries of the aortic root, the ascending aorta, and the native valvular calcifications were reconstructed from computed tomography images. The stent of the prosthesis was modeled as a hollow cylinder and virtually implanted in the reconstructed domain. The fluid-structure interaction between the blood flow, the stent, and the residual native tissue surrounding the prosthesis was simulated by a computational solver with suitable boundary conditions. Hemodynamical and structural indicators were analyzed for five different patients that underwent TAVI - three with prosthetic valve degeneration and two without degeneration - and the comparison of the results showed a correlation between the leaflets' structural degeneration and the wall shear stress distribution on the proximal aortic wall. This investigation represents a first step towards computational predictive analysis of TAVI degeneration, based on pre-implantation data and without requiring additional peri-operative or follow-up information. Indeed, being able to identify patients more likely to experience degeneration after TAVI may help to schedule a patient-specific timing of follow-up.

Characteristics and health service utilization of children most at risk for prolonged temporary tube feeding.

This study aimed to describe children at risk of prolonged temporary tube feeding and evaluate associations between tube feeding duration and child and health service variables. A prospective medical hospital records audit was conducted between November 1, 2018, and November 30, 2019. Children at risk of prolonged temporary tube feeding were identified as having a tube feeding duration of >5 days. Information was collected on patient characteristics (eg, age) and service delivery provision (eg, tube exit plans). Data were collected from the pretube decision-making phase until tube removal (if applicable) or until 4 months after tube insertion. Descriptively, 211 at-risk children (median, 3.7 years; interquartile range [IQR], 0.4-7.7) differed from 283 not-at-risk children (median age, 0.9 years; IQR, 0.4-1.8) in terms of age, geographical location of residence, and tube exit planning. Medical diagnoses of neoplasms, congenital abnormalities, perinatal problems, and digestive system diseases in the at-risk group were individually associated with longer than average tube feeding duration, as were the primary reasons for tube feeding of nonorganic growth faltering and inadequate oral intake related to neoplasms. Yet, variables independently associated with greater odds of lengthier tube feeding durations were consultations with a dietitian, speech pathologist, or interdisciplinary feeding team. Children at risk of prolonged temporary tube feeding access interdisciplinary management because of their complexity. Identified descriptive differences between at-risk and not-at-risk children may be useful when selecting patients for tube exit planning and developing tube feeding management education programs for health professionals.

Automation and AI-Enabled Customer Journey: A Bibliometric Analysis

This article aims to scrutinize the dynamics of scientific publications devoted to optimizing the customer journey in the retail sector through the application of artificial intelligence (AI) and determines the status of existing research on the role of AI in the retail sector. The research objective was to analyse the pool of scientific publications from the Scopus database to analyse how emerging technologies have improved customer journey (pre-purchase, purchase, post-purchase). The research employed a publication search by article title, abstract and keywords to collect the data set from the Scopus database. The selected publications were visualized using the software VOSviewer 1.6.16.0, and Biblioshiny to perform bibliometric analyses. An initial sample of 356 research articles was collected. After reading the abstract and full article, a final corpus of 149 scientific publications over two decades (1989–2021) was analysed in the study. Our findings suggest the prominence of authors and journal publishing in implementing AI in retail to automate customer journey. The results highlight how the application of AI fosters in improving the different phases of customer journey among the retailing sectors. Banking and fashion are the retailing sectors that have major applications of AI in the customer journey. Further studies should be conducted to gain deeper insights into the emerging use of AI in other sectors of the economy. It was also found from the intensive literature review that in the purchasing and decision-making phase of the customer journey, the deployment of AI is the most. This study analysed the incorporation of AI into the customer journey to highlight its impact on retailing. This study contributes to the literature by adding the lenses of AI in key management areas in retailing.

DAAR: Drift Adaption and Alternatives Ranking approach for interpretable clinical decision support systems

Diagnosing allergy comorbidities is challenging because the comprehensive studies on the prevalence of each allergy and the relation with other diseases are scarce. Moreover, there is a chance for uncertainty in the intradermal skin test results due to poor administration, manual observation and interpretation. Hence this work aims to develop a Decision Support System (DSS) for enhancing the diagnosis of allergy comorbidities. The DSS framework consists of a knowledge engineering phase and decision-making phase. The former focuses on detecting the concept drift, pre-processing the data, and extracting the knowledge, whereas, the latter focuses on the DAAR approach for adapting the concept drift and ranking the alternatives. The intradermal skin test data collected from allergy testing centre in India during 2012 and 2019 is used for developing and evaluating the DSS. The three techniques of concept drift adaption, namely, replacement, ensemble, and incremental are experimented on both balanced and unbalanced datasets. It can be observed from results that the incremental adaption technique has achieved an accuracy of 70.28% and 54.94% with complete decision, and 91.42% and 76.37% with partial decision on query data of 2012 and 2019 respectively. Moreover, the accuracy of the incremental technique is above the average of the accuracies of state-of-art machine learning algorithms. This implies that the framework is capable of supporting clinicians in choosing an optimal decision from the preference order of alternatives. Moreover, the interpretable knowledge provided by the system about all possible combinations of alternatives aids clinicians in understanding the reasoning behind their choice.

Circular Evaluation for Ranking Adaptive Reuse Strategies for Abandoned Industrial Heritage in Vulnerable Contexts

In recent years, the adaptive reuse of abandoned and underutilized cultural heritage has proven to be a sustainable winning strategy for the implementation of a new model of urban development centered on the principles of the circular economy. Cultural heritage, therefore, represents the entry point for the implementation of this new urban development model, and adaptive reuse practices, if integrated into strategic visions, can represent a driver to trigger a transition towards completely circular sustainability processes. However, resource allocation decisions for the adaptive reuse of assets require significant investments in the face of scarce available resources and investment projects characterized by high uncertainties. In this context, multiple-criteria approaches provide an adequate theoretical and methodological framework to address the complexity characterizing the adaptive reuse strategies of cultural heritage, with specific attention to adaptive reuse strategies of unused public assets of abandoned industrial heritage. This paper fits into this line of research by proposing a multi-criteria decision-making approach capable of supporting the decision-maker in optimizing investment choices for a more efficient allocation of public resources. In detail, applying A’WOT analysis to support decisions allows for classifying adaptive reuse strategies and establishing intervention priorities, especially in fragile and vulnerable contexts. The results provide useful information for the complex decision-making phase relating to the preliminary feasibility of interventions and the subsequent verification of their financial sustainability. In detail, the application of A’WOT analysis to supporting decisions allows for classifying adaptive reuse strategies and establishing intervention priorities, especially in fragile and vulnerable contexts. The results provide useful information for the complex decision-making phase relating to the preliminary feasibility of project intervention and subsequent verification of its financial sustainability.

Participatory Development Communication for Family Food Security during the Covid-19 Pandemic

The objective of this study is to elaborate and assess participatory development communication strategies employed in women's empowerment program by an Islamic non-governmental organization, specifically Lembaga Lingkungan Hidup dan Penanggulangan Bencana (LLHPB) 'Aisyiyah (Environment and Disaster Management Institute) Probolinggo City, East Java, Indonesia in 2020 to attain family food security during the Covid-19 pandemic. The three series of activities that constitute this empowerment program include training on planting vegetables, training on vegetables and fish cultivation in buckets, and engaging the online 'Aisyiyah Market group. This study utilized a case study methodology, collecting data through documentation and interviews with six informants who were committee members and members of 'Aisyiyah who are active in the empowerment initiative. This study demonstrates that, generally, the circumstance that the committee retains complete authority during crucial decision-making phases contributes to the practice of participatory communication in empowerment program. According to this study, the three activities used monologic and dialogic communication modalities in varying methods. Because collaborative member involvement only occurs when planning the formation of the 'Aisyiyah Market group, the level of member participation in the other two activities is still at a low level and only reveals involvement at the implementation and post-implementation stages of the activity.

Cognitive Biases in Finance and Marketing Literature: A Meta-Analysis Approach

Cognitive biases are in the focus of attention of both marketing and finance, as they are highly influential in the decision-making process of consumers and investors. In proportion to this effect size, it is observed that the studies on this subject in the marketing and finance literature have increased in recent years. In this study, it is aimed to analyze the studies published and indexed in two important international databases since 2015, the time period when cognitive biases started to come to the fore in the context of economy and business. Due to the importance of cognitive biases in economic decisions, within the scope of this study, thirteen different cognitive biases were examined from the perspectives of finance and marketing disciplines and scanned in two national and international databases (Web of Science and Scopus), and finally 313 articles were accessed within the framework of the limitations of the study. As a result of the analyzes and bibliographic data visualization, it was determined that cognitive biases were studied more intensively in the field of finance compared to the field of marketing. Another important finding is that cognitive biases are mostly researched together with the "risk" phenomenon in both marketing and finance. That is, most of the studies on this subject have focused on revealing the relationship between the perceived risk in the decision-making phase and the cognitive biases that individuals have. In future studies, it is thought that evaluating different types of cognitive biases together with various variables may contribute to both marketing and finance literature.

Potential of Computed Aided Facility Management for Urban Water Infrastructure with the Focus on Rainwater Management

This article focuses on the information modeling of buildings and its subsequent extension to the information modeling of cities, which can be considered as the main topics of the construction industry development. It offers new knowledge for city management, facility management and other fields of construction sector. Information modeling of buildings and cities creates a suitable basis for the creation of various simulations (acoustic, thermal, environmental influence, sunlight or the spread of pollution) and analyses. Simulations and results obtained from them can help us in the decision-making phase, they predict problems or unexpected situations during the life cycle of cities and buildings, and thus make it possible to prevent their occurrence. In the second part of the contribution, an innovative model, the so-called R-WIM, is presented. BIM modeling methods were used for the research and extended to the public environment. The expansion of the public environment digitization enables to obtain a sufficient amount of information about the public space and then subsequently combine them with static weather data. This model deals with Urban Water Infrastructure with the focus on Rainwater Management and has been developed for the particular needs of individual municipalities in the process of solving problem situations associated with rainwater, which is very current due to climate change, and municipalities require appropriate tools to predict the behavior of rainwater so that various compensatory measures can be created.

Leader airtime management and team effectiveness in emergency management command and control (EMCC) teams

We investigated the relation between leader airtime management and team effectiveness in Emergency Management Command and Control (EMCC) teams. Leader airtime management concerns leaders’ interventions to structure who shares information when using opening and closing statements to respectively stimulate or reduce information sharing. We coded leaders’ airtime management statements across different meeting phases (structuring, information sharing, decision making) using video-recordings of 12 EMCC exercises involving two consecutive meetings each. Experts rated two components of team effectiveness: Team Situation Awareness (TSA) and Team Decision Making (TDM). We found that closing statements were more frequently used in the decision-making phase than in any other meeting phase. Also, leaders of teams with lower TSA used more opening statements in the decision-making phase of the first team meeting than leaders of teams with higher TSA. These results confirm the importance of the timing of leader airtime management for EMCC team effectiveness. Practitioner summary: We investigated leader airtime management and team effectiveness in EMCC teams. We video-coded 12 exercises; experts rated team effectiveness. In the decision-making phase, leaders use more closing statements, and leaders of less effective teams use more opening statements. Leaders are advised to adjust their airtime management to meeting phases.

Treatment decision-making and care among older adults with kidney failure: protocol for a multicentre, prospective observational cohort study with nested substudies and linked qualitative research (the Elderly Advanced CKD Programme)

IntroductionShared treatment decision-making and planning of care are fundamental in advanced chronic kidney disease (CKD) management. There are limited data on several key outcomes for the elderly population including survival,...

Goal Setting Technologies in Time Management: Essential Characteristics

It has been established that the categorical apparatus of domestic time management is currently at the stage of formation. It was found that the use of time management tools is important for a modern competitive specialist. It helps to increase the effectiveness of self-management, own activities, self-discipline, and to form one’s own authority. The purpose of the article is to reveal the essence of the concepts of “time management”, “goal setting”. Also its goal is to determine the possibilities of goal setting technologies for the personal development of future specialists. When defining the research problem such methods were used as analysis and synthesis, comparison and generalization, theoretical methods related to the study of time management in scientific pedagogical and management literature, periodicals. Information was searched in scientometric databases Web of Science, Scopus, Google Scholar, Research Gate. The results and discussion. The essence of the concept of “time management” is revealed. It is the main component of the personal efficiency system of a specialist. It combines the ability to use practical methods of goal setting, time planning, decision-making and control over the performance of assigned tasks. Special attention is focused on goal setting as a structural component of strategic management in the overall time management system. It has been established that the mechanism of forming the efficiency and competitiveness of the future specialist of socionomic professions is the use of modern time management tools. It includes goal-setting technologies. Conclusions. The author suggests the definition of goal-setting as the primary phase of management, development and decision-making. It involves setting a general goal and a set of goals in accordance with the essence and nature of the personality’s problems to be solved, its strategic attitudes. The popular goal-setting technologies are described. They include the SMART goal-setting technology, the project goal-setting system according to H. Arkhanhelskyi, and the standard goal-setting strategy. The algorithm of these technologies is presented.