Organizational Tasks Research Articles

Workplace mistreatments by the management toward employees and its behavioral consequences

PurposeThis study aims to investigate the impact of organizational mistreatments, such as workplace bullying and ostracism, on task performance. Additionally, it explores the mediating role of cyber loafing and the moderating role of negative reciprocity beliefs.Design/methodology/approachAdopting a positivism research philosophy and a deductive approach, this study focuses on the petroleum sector-related organizations where enterprise resource planning requires active Internet use, potentially leading to cyber loafing. Data were collected from employees using purposive sampling techniques, resulting in a sample size of 248. The data analysis was conducted using AMOS and SPSS software.FindingsThe results indicate that cyber loafing fully mediates the relationship between workplace bullying and ostracism on task performance. Additionally, negative reciprocity beliefs significantly moderate the relationship between workplace bullying, ostracism and cyber loafing.Originality/valueThis study presents a moderated-mediation model of organizational mistreatments and task performance, elucidating the mechanisms through the mediating role of cyber loafing and the moderating role of negative reciprocity beliefs.

Identity Work in Interdependent Professional Groups: The Role of a Target Identity in Enterprise Systems Implementation

Powerful new technologies in the workplace are significantly changing what employees do and how they depend on others. Key tasks that professionals regard as core to their job are automated, forcing entire professional groups to reconsider their identity within their organization. In doing so, professional groups can either feel threatened and resist new technology or develop enhanced role identities that they pursue using the technology. Our study of financial accountants and management accountants shows how managers can help employees develop enhanced role identities and become more satisfied with their jobs. Managers should ensure that each professional group has early and concrete experiences with how new technology helps them perform new, value-added tasks that are consistent with their sense of who they are as professionals in the organization. However, management must also consider how different organizational functions and professional groups will work together in light of new technology. During the technology implementation process, managers and consultants should foster intensive exchange and critical discussion among interdependent professional groups to facilitate an open renegotiation of which professional group takes on which of the existing and new organizational tasks.

Design and Management of Digital Communication Media to Build Stakeholder Trust and Reputation of the Indonesian Ikaboga Organization

Ikatan Ahli Boga Indonesia (Ikaboga Indonesia) was established in 1987. It is the first and oldest organization for Indonesian Culinary Experts. This organization is neither commercial nor political. They are currently experiencing challenges such as the weak commitment of its members, especially in terms of setting aside time, energy, and materials. As a result, many organizational tasks are not carried out according to their duties. This organization is also weak in managing digital communication media. In the digital era, many organizations compete to build stakeholder trust and reputation through digital media. This is the background to this PKM. By paying attention to the three main principles of the SDGs, namely universal, integration, and inclusive, this PKM focuses on and aims to improve the skills (technology and management) of the administrators and members of Ikaboga Indonesia. Such as skills in organizational communication management and the design and management of digital communication media to build stakeholder trust and the reputation of Ikaboga Indonesia. This program is carried out by elaborating ten methods: learning methods, question and answer and discussion methods, demonstration methods, problem-solving methods, practice or skills training methods, design methods, discovery methods, inquiry methods, mind mapping methods, and role-sharing methods. As a result, this activity was positively influenced; 71% of participants attended because they were interested and wanted to learn. This PKM was also considered to impact 81.2% of participants' cognitive changes significantly. The causal factors did not have a 100% effect on increasing participants' cognitive abilities due to obstacles of 56.5% lost and intermittent sound due to signal.; 43.5% had a wrong signal.; 21.77% due to distance obstacles, and 17.4% due to technological barriers, hunger, and other work, so they could not focus.

Problems of Arctic Hydrocarbon Development in The Context of Modern Global Challenges: Development Potential and Industry Strategies

Significant hydrocarbon raw material potential in the Arctic territories and complex technological solutions for its development dictate the need to solve extraordinary organizational, managerial and technical tasks of strategic nature. There are economic difficulties associated with oil and gas production in the Arctic fields and, in particular, in the development of offshore facilities. The article focuses on the sectoral strategies of oil and gas complex development, which should be balanced with regional and corporate strategies. Industry strategies for the development of the Arctic oil and gas complex detail a specific set of measures that fully reflect the technological and economic capabilities of domestic companies, it is especially important to assess the achievability of strategic goals in terms of the development of offshore resources. The purpose of this study is to summarize the strategic problems of the development of hydrocarbon resources in the Arctic with the identification of options for the development strategies of oil and gas industry complexes. The methodology of the research is based on the methods of strategic management. Within the framework of solving strategic problems and tasks, it is advisable to apply various scenarios using the methods of strategic alternatives, and, in particular, matrix methods. Matrix methods allow to use the results of the analysis and offer specific alternatives that can be used as a basis for strategic choice in the development of sectoral strategies of the oil and gas complex. The scientific results of the study are determined by the generalization of the problems of the Arctic hydrocarbon potential development and the development of alternative strategy options for solving technological and environmentally-oriented strategic problems. The article presents strategic problems of Arctic oil and gas fields development. The key economic, organizational, technological, social, environmental and geo-political problems are highlighted. Technological strategies largely depend on markets and the policy of technological sovereignty. Using domestic markets or turning to external markets seems to be an important strategic choice, as it determines the level of investment costs — in-house development or purchase of technologies on open markets. For the development of breakthrough technologies in offshore hydrocarbon production, it is possible to rely on the domestic technology market to develop new technical solutions and digital systems. Environmentally-oriented strategies are based on sustainability and efficiency criteria with economic or socio-environmental aspects being prioritized. It is revealed that “green” strategies can take place, but for the development of oil and gas industrial complexes it is important to maintain a balance between production development and environmental safety.

Project portfolio selection with relationship considerations: A random walk with restart based on influencing factors

Selecting an optimal project portfolio (PP) is a critical yet challenging task for organizations in an increasingly diverse and complex environment. The dynamic and holistic impacts of diversity and complexity on PP strategic goals help to reflect the complex realities of project portfolio selection (PPS). However, traditional research on PPS fails to adequately consider the diversity of influencing factors and the complexity of relationships among projects, among influencing factors, as well as between projects and influencing factors. To address the gaps, a novel PPS methodology was proposed by integrating a two-layer network model with a random walk with restart algorithm. First, a two-layer network containing a project layer and an influencing factor layer was constructed to portray the impacts of factors on the implementation of PP. Second, a random walk with restart was employed to capture the changes of project contribution to the goal under the complex synergy relationships among projects, among influencing factors, and between influencing factors and projects. Finally, a detailed case study verified the viability of the proposed method. The main findings of this study were in two aspects: (1) it was necessary to consider complex relationships for PPS under uncertain and dynamic environments. (2) the proposed method enabled better alignment of selected PP with strategic goals by incorporating these complex interdependencies. This study theoretically facilitates the PPS with the consideration of integrated three complex relationships that exist in PP. Practically, this study offers actionable tools directly applied to improve strategic decision-making in complex project environments.

Collaborative AI in the workplace: Enhancing organizational performance through resource-based and task-technology fit perspectives

This research examines how artificial intelligence, human capabilities, and task types influence organizational outcomes. By leveraging the frameworks of the Resource-Based View and Task Technology Fit theories, we executed two distinct studies to assess the effectiveness of a generative AI tool in aiding task performance across a spectrum of task complexities and creative demands. The initial study tested the utility of generative AI across diverse tasks and the significance of AI-related skills enhancement. The subsequent study explored interactions between humans and AI, analyzing emotional tone, sentence structure, and word choice. Our results indicate that incorporating AI can significantly improve organizational task performance in areas such as automation, support, creative endeavors, and innovation processes. We also observed that generative AI generally presents more positive sentiment, utilizes simpler language, and has a narrower vocabulary than human counterparts. These insights contribute to a broader understanding of AI's strengths and weaknesses in organizational settings and guide the strategic implementation of AI systems.

Organizational Rigidity and Demands: A Qualitative Study on Nursing Work in Complex Organizations.

The nursing work environment is a critical element in healthcare delivery and a strong predictor of both patient and nurse outcomes. Understanding the complexity and multifaceted nature of this environment is essential for improving nursing practices and optimizing healthcare systems. This study aimed to gain insights into the perceived characteristics of the nursing work environment, considering it as a complex and multifaceted system. A qualitative research approach was employed, involving 42 semi-structured interviews with 43 nurses and managers from academic, teaching, and general hospitals in The Netherlands. Data were collected between July 2020 and August 2021 through convenience sampling. Thematic coding was conducted to identify key patterns and themes. The findings revealed that nurses demonstrated flexibility and a strong commitment to high-quality care, despite grappling with rigorous organizational tasks and processes. Four key themes emerged: (1) direct patient care as a standard feature of nursing work; (2) nurses' flexibility for hospital productivity; (3) interdependencies, which decrease autonomous nursing practices; and (4) organizational structures that determine how nurses can shape their work. Nurses found it difficult to balance direct care with broader tasks due to organizational rigidity, revealing a gap between ideal nursing practices and daily reality. This study highlighted the challenges within the nursing work environment, particularly in balancing direct care with organizational demands. Addressing this gap between ideal nursing practice and reality requires a systems approach. This includes autonomous practices, supportive management, and flexible structures, allowing nurses to shape their work and enhance job satisfaction and care quality.

Moderating Role of Tenure in an Organization and Work Engagement on Organization Citizenship Behaviour and Task Performance

In this study we explore moderating role of tenure in an organization and work engagement on organization citizenship behaviour and task performance among employees in top 10 IT companies in Bangalore as catalogued by the National Stock Exchange of India. Primary data were collected via an online survey administered to 224 employees between April and September 2022. Utilizing Partial Least Squares Structural Equation Modelling, the analysis reveals that while extended tenure fosters deeper role comprehension and stronger interpersonal bonds its impact on task performance is minimal and its effect on organization citizenship behaviour is negligible. The study underscores the importance of supportive work environment and calls for future research on industry-specific factors that could further shape the dynamics of tenure and engagement.

AI-POWERED MARKETING AUTOMATION FOR NON-GOVERNMENTAL ORGANIZATION MANAGEMENT

In the modern world, artificial intelligence is becoming a necessary technology for effective business management. It opens up many opportunities for businesses to enhance efficiency, increase competitiveness and accomplish strategic goals. The purpose of this article is to describe our experience of using AI-based tools in the organization of the work of the non-governmental organization “Dyvo”, whose activities are aimed at supporting youth and volunteer activities during martial law in Ukraine. The main tasks that were solved with the help of artificial intelligence are related to branding of the organization and interaction with the target audience. The paper describes the experience using tools such as ChatGPT, Fiverr AI Logo Maker, Telepothq, and HeyGen to create content that shapes the style of the organization and makes it recognizable and competitive in the information space. Thus, in the course of our work, the logo of the organization, the design and code of the non-governmental organization website, advertising information about the organization, and the slogan were created. Having analyzed the results obtained during the work, we can conclude that the use of tools based on artificial intelligence allows us to effectively perform organizational and production tasks without involving additional specialists, funding, and time.

IMPROVING SCHOOL TRAFFIC FLOW: A HUMAN PERFORMANCE IMPROVEMENT CASE STUDY

Managing the flow of people (queue management) is a crucial task for many organizations. This case study examines the traffic flow during pick up and drop off times at a public middle school in the rural southeastern U.S. using a Human Performance Improvement (HPI) framework to address the problem of traffic backups when dropping off and picking up students. Environmental analysis revealed that carpool procedures were not well known and staff were underutilized. Recommendations included job aids and signage to inform parents of traffic procedures, efficient scheduling and use of school space, and utilization of the staff to assist with the carpool lane.

ЗАДАЧИ ПО ПРЕДОТВРАЩЕНИЮ ПРИРОДНЫХ ЧРЕЗВЫЧАЙНЫХ СИТУАЦИЙ НА АКВАТОРИИ МОРЕЙ РОССИЙСКОЙ АРКТИКИ (ПО МАТЕРИАЛАМ МОРСКОЙ ДОКТРИНЫ РОССИЙСКОЙ ФЕДЕРАЦИИ)

This article provides an overview of the main organizational and managerial tasks to ensure protection from natural emergencies during marine activities in the Arctic zone of the Russian Federation. The main mechanism for ensuring the safety of maritime economic activity in the Arctic is called the prevention of emergency situations by forecasting them. The problems of natural (climatic extremes) emergencies are emphasized, the main directions of obtaining predictive information, scientific and scientific-technical activities, and the tasks of legal regulation are briefly outlined. The guideline for the presentation of the topic of the article is the Maritime doctrine of the Russian Federation – a strategic act of the Head of state, which contains the main provisions on the principles and mechanisms of maritime activities in the Russian Federation. The result of this study is the positioning of emergency forecasting as an inseparable segment of activity in the Arctic from the economy.

Effects of Social Roles Rotation on the Cognitive Learning Process in Online Collaborative Conversation

Online collaborative conversation is one of the crucial approaches to promote students' collaborative skills and cognitive development. Students' social roles in collaborative learning have a key impact on the process of collaborative learning activities and the development of students' cognition. What are the differences in the cognitive structures and processes between rotated-role and fixed-role in students' groups? This paper explored this question by empirical research. The results of epistemic network analysis showed that the rotated-role groups had more high-level cognition and more complex cognitive structure, while the fixed-role groups had more management activities. In the rotated-role groups, the leaders can better mobilize the atmosphere, organize and coordinate the cognitive processes of the team, so that to contribute more to the collaborative conversations. The cognitive depth and efficient of fixed-role groups significantly decreased over time. These imply that in online collaborative conversation activities, role-rotation can be used to promote higher-order cognitive development, and fixed-role can be used to improve management efficiency. Teachers should encourage team leaders to take on more cognitive activity organization and coordination tasks in online collaborative conversation activities. In the later stages of online collaborative conversation activities, teachers should strengthen intervention and support for fixed social role groups. Received: 20 May 2024 | Revised: 18 September 2024 | Accepted: 12 October 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data sharing is not applicable to this article as no new data were created or analyzed in this study. Author Contribution Statement Linjing Wu: Conceptualization, Writing - original draft, Writing - review & editing, Supervision, Project administration; Yu Gao: Writing - original draft, Writing - review & editing, Visualization; Yujia Zang: Investigation, Formal analysis, Writing - original draft; Puliang He: Data Curation, Resources.

APPRAISE: a Governance Framework for Innovation with Artificial Intelligence Systems

As artificial intelligence (AI) systems increasingly impact society, the EU Artificial Intelligence Act (AIA) is the first legislative attempt to regulate AI systems. This paper proposes a governance framework for organizations innovating with AI systems. Building upon secondary research, the framework aims at driving a balance between four types of pressures that organizations, innovating with AI, experience, and thereby creating responsible value. These pressures encompass AI/technology, normative, value creation, and regulatory aspects. The framework is partially validated through primary research in two phases. In the first phase, a conceptual model is proposed that measures the extent to which organizational tasks result in AIA compliance, using elements from the AIA as mediators and strategic variables such as organization size, extent of outsourcing, and offshoring as moderators. 34 organizations in the Netherlands are surveyed to test the conceptual model. The average actual compliance score of the 34 participants is low, and most participants exaggerate their compliance. Organization size is found to have significant impact on AIA compliance. In phase 2, two case studies are conducted with the purpose of generating in-depth insights to validate the proposed framework. The case studies confirm the interplay of the four pressures on organizations innovating with AI, and furthermore substantiate the governance framework.

Assessment of the readiness of the medical and preventive facility for actions in an extraordinary situation of a military character with combined radiation injury to the population

Background. In emergency situations of a military nature, medical institutions at all levels, especially specialized (radiological) medical facilities, are tasked with providing qualified assistance to the affected population. The effectiveness of these measures depends not only on the promptness, equipment, and training of operational teams but also on adherence to radiation safety standards, which differ from peacetime norms in terms of the scale of combined radiation injuries, injury criteria, and the methods of implementing measures. At the same time, against the backdrop of the multi-criteria uncertainty of possible radiological scenarios, there is no scientific justification for the necessary connections between the features of radiation safety and specific organizational and technical tasks within the system of overall readiness of medical institutions. Purpose – scientifically justify the potential readiness of a medical institution to act during a special period to provide qualified assistance to the population with combined radiation injuries, based on a systematic analysis of the features of the radiation safety system during military emergencies. Materials and Methods. In this paper, an attempt is made to assess the readiness of a medical and preventive institution to take action in emergency situations of a military nature by applying the method of analysis of hierarchies by T. Saati, adapted for the relevant tasks. Results. The conducted analysis of generalized weight coefficients and priorities in percentages (%) for each element of the hierarchical structure (Fig. 3) shows that more than 50% of «actions» are related to the effective provision of personnel safety and the effective delivery of medical care («Dia-1» and «Dia-2»). These components should receive key attention in the practical training of healthcare facility personnel and involved individuals through special training for emergency actions during special periods. Conclusions. This work attempts to assess the readiness of a medical institution to act in military emergencies by applying the Analytic Hierarchy Process (AHP) method by T. Saaty, adapted for the relevant tasks.

Integrating AHP and GTMA for Enhanced Multi-Criteria Decision Making in Logistics Provider Selection

The selection of logistics providers is a critical task for organizations aiming to enhance their supply chain performance and maintain a competitive edge. This paper proposes an integrated approach that combines the Analytic Hierarchy Process (AHP) and Graph-Theoretic Matrix Approach (GTMA) for effective multi-criteria decision-making (MCDM) in the selection of logistics providers. AHP is widely used for evaluating criteria and alternatives based on pairwise comparisons, while GTMA enhances decision-making by incorporating complex interdependencies among criteria. The integrated AHPGTMA approach is demonstrated through a case study involving the selection of a third-party logistics provider (3PLP). The proposed method improves the decision-making process by simplifying complex relationships among criteria while ensuring an efficient and robust selection. This integrated model presents a more comprehensive and reliable framework for logistics provider selection, overcoming limitations observed in stand-alone AHP and ANP approaches. Future research may focus on the application of fuzzy logic to further enhance decision accuracy in uncertain environments.

Configuración de una red LAN utilizando Python scripting para generar redes definidas por software (SDN).

Network management is an essential task in modern organizations, where the complexity of technological infrastructures demands efficient and accurate solutions. With network devices from leading manufacturers such as Cisco and Mikrotik. In response to these challenges, automating the configuration of network devices has gained popularity as an approach to improve efficiency and reduce errors. Python, a programming language widely adopted for its versatility and ease of use, has become a key tool for this automation. Within this ecosystem, Netmiko emerges as a specialized library that facilitates automated interaction with network devices using SSH. Netmiko allows network administrators to write scripts that can connect to Cisco and Mikrotik devices, execute configuration commands, and retrieve information about the network status. This approach not only speeds up the configuration process, but also ensures consistency and accuracy in deploying configurations, especially in multi-device environments. As networks continue to grow in complexity, the adoption of tools such as Netmiko becomes essential to maintaining the operability and security of network infrastructures.

“Balancing work and movement”: barriers and enablers for being physically active at Indian workplaces – findings from SMART STEP trial

BackgroundNon-communicable diseases are rising rapidly in low- and middle-income countries, leading to increased morbidity and mortality. Reducing sedentary behavior (SB) and increasing physical activity (PA) offer numerous health benefits. Workplaces provide an ideal setting for promoting SB/PA interventions; however, understanding the barriers and enablers is crucial for optimizing these interventions in workplace environments.MethodsNested within a cluster randomised controlled trial (the SMART-STEP trial), the present study employed in-depth interviews with 16 office workers who have completed 24 weeks of two distinct (technology assisted and traditional) workplace SB/PA interventions. Using a deductive analysis, semi-structured interviews were administered to explore the barriers and enablers to the SB/PA interventions at individual, interpersonal and organisational level using the socio-ecological model.ResultsSeveral individual (poor goal setting, perceived health benefits & workload, attitude, intervention engagement), interpersonal (lack of peer support) and organisational (task prioritisation, lack of organisational norm and material or social reward) barriers were identified. Indian women engaged in desk-based office jobs often find themselves burdened with intense home and childcare responsibilities, often without sufficient support from their spouses. A primary concern among Indian office workers is the poor awareness and absence of cultural norms regarding the health risks associated with SB.ConclusionsRaising awareness among workplace stakeholders—including office workers, peers, and the organization—is crucial before designing and implementing SB/PA interventions in Indian workspaces. Personalized interventions for Indian female office workers engaged in desk-bound work are warranted.

Health Insurance Literacy and Its Impact on Patient Satisfaction with the Quality of Medical Care

Introduction. Health insurance literacy is an important aspect of population health that contributes to the functioning of the healthcare system. The significance of health insurance literacy is underscored by data showing substantial financial resources dedicated to medical care through the compulsory health insurance system (CHI). However, surveys reveal that patients' health insurance literacy is generally lower than their overall medical literacy, leading to several issues.Purpose. The study aims to examine the main aspects of health insurance literacy and its importance for ensuring patient satisfaction with the quality of medical care.Materials and methods. The authors analyzed scientific literature on population literacy in insurance, health insurance, medical care, etc. 80 participants in Moscow and 80 participants in Surgut were asked to fill out a questionnaire on self-assessment of their level of health insurance literacy. A series of semi-struc-tured interviews were also conducted among doctors of the polyclinics visited by study participants.Results. Health insurance literacy is the knowledge and practical use of information about mitigating health risks and covering treatment costs through relevant financial institutions. Health insurance literacy is a structured system of competencies that requires a systematic approach. Improving the health insurance literacy of patients is an important task of any healthcare organization, as it can significantly increase the level of patient satisfaction with the quality of medical care and, consequently, the health of the general population.

Streamlining Organization Tasks: A Grounded Theory on the Perspective and Coping Mechanism of School Administrators in Response to DepEd Order 002, s. 2024

In order to cope with organizational changes that simplify administrative work, educators and administrators must be resilient (Towler, 2021). Recently, public school teachers in the Philippines were relieved of administrative responsibilities, as ordered by the Department of Education (DepEd Order 002, s. 2024), and the responsibility is transferred to school administrators and non-teaching staff. According to the Department of Education (DepEd), administrative responsibilities include all tasks necessary to run schools efficiently while utilizing the fewest resources possible. These obligations include activities, services, and programs that are geared toward problem-solving; they have nothing to do with academics or the educational system. Through in-depth interviews and focus groups with school heads in the public institutions, the research utilized grounded theory to comprehensively explore the impact of shifting administrative responsibilities from classroom teachers to school heads and non-teaching personnel as well as their coping mechanism within educational institutions. This allowed the researcher to develop theories based on the data collected (Cooke, 2014). This study's generation of themes and theories led to the creation of a framework for efficient coping strategies with organizational activities that require flexibility and ongoing modifications. In order to strengthen an adaptive organization, the data collected from the respondents also contributed significantly to the conceptualization of the Modernized Educational Resiliency theory.

A decision support tool for habitat connectivity in Australia

Context Species connectivity mapping is a technically challenging task for conservation practitioners and nongovernment organisations to undertake as it requires experience in geographic information systems and often some computer programming. Aims We developed a decision support tool to provide spatial information and data on potential habitat connectivity and optimum connectivity pathways for a selection of forest-dependent vertebrate fauna in eastern and south-western Australia. Methods We systematically searched spatial data repositories for Australian spatial datasets for modelling connectivity. A least cost paths and patch connectivity approach was used to map potential habitat connectivity for (1) a single species – the glossy black cockatoo (Calyptorhynchus lathami) of South East Queensland, and (2) four species guilds – rainforest pigeons, gliding possums, the black cockatoos of south-western Western Australia and a landscape level forest connectivity. Optimum connectivity pathways were assessed for protection status. Key results In total 71 spatial datasets useful for habitat connectivity mapping were identified. Species and guild modelling found that the protection status for optimum connectivity pathways varied between 24.7% and 53.3%. A decision support mapping tool was then created to enable users to interactively explore the connectivity data and download the spatial datasets for further analysis. Conclusions The development of a decision support tool for mapping habitat connectivity in eastern and south-western Australia represents a useful platform for conservation practitioners as it provides valuable spatial information on potential connectivity pathways for forest-dependent vertebrate fauna. Implications The tool can aid in the prioritisation of conservation actions aimed at enhancing habitat connectivity and mitigating the impacts of habitat fragmentation on biodiversity in the two regions.