Organizational Environment Research Articles

Assessing the role of artificial intelligence in enhancing customer personalization: A study of ethical and privacy implications in digital marketing

Technological evolution, especially in artificial intelligence (AI), has significantly changed digital marketing, specifically customer-targeted experience. Machine learning, recommendation systems, and predictive analytics have made it possible for enterprises to personalize content, products, and services, among other things, on a very large scale. Nevertheless, all these advances have come with large ethical and privacy concerns that are yet to be met. This paper discusses how AI can enhance customers' personalization to analyze the moral and privacy considerations involved. The research examines how machine learning marketing strategies work in the digital environment and real-life examples of organizations that successfully implement these approaches and potential issues. It highlights how individuals might buy more products and make businesses more profitable with customized advertising techniques. However, the paper also describes the moral problems of AI that use personal data without permission, artificially intelligent algorithms that affect decision-making, and artificial intelligence decision-making. At the same time, its work has yet to be well known. The paper looks into privacy risks like data breach incidents, privacy violations, GDPR, and CCPA. This paper adopts an exploratory case study research design as it gathers academic papers, industry examples, and expert opinions to present a balanced view of the effects of AI. Based on the research, conclusions can be drawn that great opportunities AI opens for personalization should be met with safety considerations and working ethical guidelines. In the end, the paper presents guidelines that should help businesses integrate trust and compliance into creating and using AI technologies.

Water Trash Detection System: An Innovative Approach to Monitoring Aquatic Pollution

Abstract: Water pollution, particularly from non-biodegradable waste such as plastics, is one of the most pressing environmental issues facing aquatic ecosystems today. This paper presents an innovative solution for detecting and classifying waste in water bodies using machine learning techniques, specifically You Only Look Once (YOLO) and Convolutional Neural Networks (CNNs). The Water Trash Detection System (WTDS) can process both static images and real-time video streams to efficiently detect various types of aquatic trash, including plastic bottles, bags, and fishing debris. The system generates detailed reports on detected waste, providing environmental organizations and researchers with actionable data for monitoring and cleaning polluted water bodies. The combination of YOLO for real-time object detection and CNNs for waste classification allows the WTDS to deliver high accuracy and real-time processing, which is essential for effective environmental management.

Review of Scientific Literature on Social Networks in Organizations

The present investigation aims to analyze the research contributions that support social networks in organizations; a qualitative approach research was developed, with a population of 30 articles whose journals. The results revealed that interaction platforms have become a very important phenomenon with no return that also covers the organizational field opening new possibilities. The opportunities opened by the use of social networks by organizations also cover customer communication, which can improve their satisfaction. Finally, as a conclusion, one of the most important results was that social networks are an innovative tool within the organizational environment because it facilitates the transmission of information to the public due to the fact that there is a massive agreement within which there is a large number of prospects who can obtain advertising information based on their needs through digital segmentation, it is also very important that it allows not only communication with customers.

Exploring the Impact of Leader Narcissism on the Job Embeddedness of a New Generation of Employees in the Chinese Context

Abstract: Narcissism is the personality trait of being arrogant, lacking empathy and manipulative, and in conjunction with leadership, narcissistic leaders have a profound impact on the organizational environment and employee behaviour. As the new generation of employees develops into the core human resources of Chinese companies, the effect of narcissistic leadership on new-generation subordinates becomes a more worthwhile topic in organizational behaviour. This study constructs the influence of narcissistic leaders on job embeddedness based on the social exchange theory and conservation of resources theory. This study collected and analyzed data from 201 Chinese young generation employees through an online questionnaire. The findings suggest that narcissistic leaders had a significant negative correlation with employees' job embeddedness; job stress and employee silence mediate the relationship. This study may be unable to track the long-term effects of the factors and is limited to the Chinese context. However, the results of this study not only enrich the literature in the field but also provide practical references for organizations to lessen the impact of leaders dark personalities and employees negative behaviors.

Varieties of Climate Activism: Assessing Public Support for Mainstream and Unorthodox Climate Action in the United Kingdom

Abstract Is the general public of the UK willing to financially support environmental organizations that adopt disruptive tactics (museum and art gallery protests, sporting event disruptions, and traffic stoppages), as opposed to orthodox tactics (litigation, lobbying, and research and education)? Using a conjoint choice experiment (N = 1,023), we asked respondents’ willingness to donate £25 to hypothetical environmental organizations that differ in terms of (1) advocacy tactics, (2) share of revenue toward administrative overheads, (3) representation of women on their boards, (4) organizational age, (5) organizational size, (6) number of volunteers, and (7) revenue from citizen donations. We find respondents’ willingness to donate diminishes when organizations adopt disruptive tactics. These results hold across party preferences, ideology, generation, location, and environmental policy attitudes. Further, respondents are willing to donate organizations that rely on public donations, have low overheads, are supported by volunteer labor, and provide representation to women on their boards.

Documenting trends in blockchain technology adoption: a systematic review

Purpose This study aims to critically analyze existing research on blockchain technology adoption, examining the dominant models and methodologies used, the primary domains where blockchain is applied and the emerging opportunities across various sectors. Design/methodology/approach Using a methodical systematic review approach, the authors meticulously examined a pool of 1,322 collected articles, subjecting 38 studies to rigorous assessment. Through this comprehensive analysis, the authors unveiled the key models and influential factors that intricately shape the trajectory of blockchain adoption. Findings The primary models identified for investigating blockchain adoption were the technology acceptance model and technology–organization–environment. Apart from the core variables within these models, the pivotal determinants influencing various blockchain applications include perceived trust, perceived cost and social influence. In addition, this study highlights supply chain management as a prominent domain for blockchain application adoption. Practical implications Understanding these influential factors and models can guide practical decisions and aid stakeholders in formulating effective strategies for blockchain adoption in diverse sectors. Originality/value This study contributes to advancing the understanding of blockchain adoption dynamics by unveiling the prevalent models and determinants shaping adoption. This study offers valuable insights into the factors influencing the use and adoption of blockchain technologies across diverse sectors.

Investigate the state of critical thinking and its impact on moral courage and moral sensitivity; evidence from nurses' perspective.

Critical thinking, moral courage, and moral sensitivity are among the topics that are widely considered today in response to turbulent and complex environments in organizations. The purpose of this study was to investigate the state of critical thinking and its effect on moral courage and moral sensitivity in nurses working in hospitals under Jiroft University of Medical Sciences in southern Iran in 2024. This descriptive-analytical cross-sectional study was conducted on 385 nurses. The data collection tools were standard questionnaires of critical thinking, moral courage and moral sensitivity. Data were analyzed using t-test, ANOVA, Pearson's correlation coefficient and multiple linear regression using SPSS23 software. The average scores of critical thinking, moral courage, and moral sensitivity of the studied nurses were 188.16 ± 8.22 out of 450, 62.32 ± 7.45 out of 105, and 71.55 ± 6.39 out of 100, respectively, indicating the weak level of critical thinking and the average level of moral courage and moral sensitivity of nurses. Between moral courage (p < 0.001, r = 0.574) and moral sensitivity (p < 0.001, r = 0.611) with critical thinking, a statistically significant correlation was observed in the direct direction. Based on the results of multiple linear regression, the components of critical thinking, which include truth-seeking, inquisitiveness, analyticity, systematicity, self-confidence, cognitive maturity, and open-mindedness, respectively, were identified as predictors of moral sensitivity and moral courage (P < 0.001). The critical thinking of the examined nurses was estimated at a weak level, and moral courage and moral sensitivity were estimated at a moderate level. Based on the results, there is a possibility that by improving critical thinking, the state of moral courage and moral sensitivity of nurses will improve. Therefore, it is suggested that the hospital managers provide an opportunity to improve the critical thinking status of nurses by holding related courses and workshops, so that by this means, we can witness the growth and improvement of their courage and moral sensitivity.

CONCEPTUALISING FACTORS AFFECTING PERFORMANCE IN ORGANISATIONAL ECOSYSTEM

Performance, as a significant construct, reflects the desire to fulfill specific needs and serves as a fundamental component in the workplace, and is regarded as a multifaceted concept that encompasses various aspects, including processes, behavioral engagements, and outcomes, specifically related to job behavior. Task performance requires specific behaviors and advanced cognitive abilities, categorised into technical-administrative and leadership responsibilities. Job performance prompts behavior associated with achievement that includes evaluative aspects. Research highlights the significance of autonomous and intrinsic motivation, indicating that individuals guided by inherent values and behaviors achieve optimal performance. The present conceptual study aims to identify and understand the principal factors affecting employee performance and to illustrate the connections among these components through a literature review on performance. Evaluating employee performance is the most complex and hardest soft skill, requiring the incorporation of additional factors. The predicted finding and discussion of this study allows us to draw inferences about the elements affecting projected performance within an inclusive organisational environment, such as the Police Department, and to provide suggestions for future research. This conceptual piece concludes a conceptual framework regarding staff development, measurement methodologies, and the factors influencing staff performance assessment. Understanding these characteristics will facilitate the assessment of staff performance and clarify the factors that enable an employee to succeed in meeting an organization's objectives.

AI Technology Adoption in Corporate IT Network Operations Based on the TOE Model

As the digital environment evolves, the need to integrate artificial intelligence (AI) technology into corporate IT network operations increases. In this study, the aim was to define the factors that influence AI adoption in the network operations and analyze their impact on productivity and service stability. The technology–organization–environment (TOE) framework was employed for this investigation, focusing on technological, organizational, and environmental factors. In addition, in this study, structural equation modeling was employed to analyze the relationships between these influencing factors and the intention to adopt AI. The mediation effect was examined through the network operation productivity and network service stability. A survey was conducted targeting network operations and AI professionals to collect data. The analysis results revealed that technological and environmental factors positively influenced the network operation productivity, while only environmental factors positively influenced the network service stability. Furthermore, the findings of this study highlight that environmental factors are the most significant factors that influence network operation productivity and network service stability. Moreover, the direct positive impact of network operation productivity and IT network service stability on the intention to adopt AI underscores their crucial role. In conclusion, when evaluating AI adoption in terms of network operation productivity and network service stability, prioritizing technological and environmental factors over organizational factors is necessary.

Machine learning­based approaches for enhancing human resource management using automated employee performance prediction systems

Purpose This study focuses on enhancing the accuracy and efficiency of employee performance prediction to enhance decision making and improve organisational productivity. By introducing advance machine learning (ML) techniques, this study aims to create a more reliable and data-driven approach to evaluate employee performance. Design/methodology/approach In this study, nine machine learning (ML) models were used for forecasting employee performance: Random Forest, AdaBoost, CatBoost, LGB Classifier, SVM, KNN, XGBoost, Decision Tree and one Hybrid model (SVM + XGBoost). Each ML model is trained on an HR data set covering various features such as employee demographics, job-related factors and past performance records, ensuring reliable performance predictions. Feature scaling techniques, namely, min-max scaling, Standard Scaler and PCA, have been used to enhance the effectiveness of employee performance prediction. The models are trained to classify data, predicting whether an employee’s performance meets expectations or needs improvement. Findings All proposed models used in the study can correctly categorize data with an average accuracy of 94%. Notably, the Random Forest model demonstrates the highest accuracy across all three scaling techniques, achieving optimise accuracy, respectively. The results presented have significant implications for HR procedures, providing businesses with the opportunity to make data-driven decisions, improve personnel management and foster a more effective and productive workforce. Research limitations/implications The scope of the used data set limits the study, despite our models delivering high accuracy. Further research could extend to different data sets or more diverse organisational settings to validate the model’s effectiveness across various contexts. Practical implications The proposed ML models in the study provide essential tools for HR departments, enabling them to make more informed data driven decisions with regard to employee performance. This approach can enhance personnel management, improve workforce productivity and fostering a more effective organisational environment. Social implications Although AI models have shown promising outcomes, it is crucial to recognise the constraints and difficulties involved in their use. To ensure the fair and responsible use of AI in employee performance prediction, ethical considerations, privacy problems and any biases in the data should be properly addressed. Future work will be required to improve and broaden the capabilities of AI models in predicting employee performance. Originality/value This study introduces an exclusive combination of ML models for accurately predicting employee performance. By employing these advanced techniques, the study offers novel insight into how organisations might transition from a conventional evaluation method to a more advanced and objective, data-backed approach.

Organizational commitment and ethical environment: Reducing nomophobia in the workplace

Nomophobia, the anxiety experienced when individuals are separated from their mobile phones, is becoming increasingly prevalent in modern workplaces. This study investigates the role of organizational commitment in mitigating nomophobia, with a focus on the mediating influence of the ethical environment. Data were collected from 600 participants and analyzed using Structural Equation Modeling (SEM). The findings show that a strong sense of organizational commitment significantly reduces nomophobia among employees. Additionally, an ethical environment within organizations further mitigates this anxiety by fostering a workplace culture that encourages psychological well-being. This research provides practical insights for organizations looking to reduce the psychological strain associated with digital dependency, emphasizing the importance of both commitment and a strong ethical climate.

Messy natures: The political aesthetics of nature recovery

Abstract Current aspirations for nature recovery to address biodiversity loss and climate change will involve changing what landscapes look like, which can create challenging aesthetic experiences for members of the public. In this study, we interrogate the role of aesthetics in shaping visions of nature recovery, focussing on the construction and contestation of ‘mess’ and ‘messiness’ in nature recovery. We examine the political aesthetics of messy natures using a qualitative approach investigating visual and text materials across different sites of production in Britain, from newspapers to social media, paying particular attention to visual materials Our results show how the mediated debate around ‘rewilding’ urban environments and a beaver‐themed garden winning a horticultural show are examples of a backlash against untidy environments through a politicised discourse, linking messy nature with left‐wing ideologies, in contrast to the perceived orderliness and conservative ideals of good citizenship associated with tidiness. In contrast, social media imagery of messy and wild gardens demonstrates how mess is consciously framed aesthetically as a desirable ‘look’ for restored nature, symbolising progressive and environmentalist ideals of good citizenship through activities such as nature‐friendly gardening and initiatives such as ‘No Mow May’, which celebrate the aesthetic of a more biodiverse messiness. And finally, we traced how environmental advocacy organisations are prefiguring the future of nature recovery in Britain through commissioned graphical representations that portray a ‘tamed messiness’ and the return of charismatic megafauna. Although these aesthetics may challenge prevailing pastoral aesthetics, they normalise continued inequality in the form of concentrated land ownership, especially in the Scottish Highlands. Policy implications. Our analysis shows that aesthetics play an important role in shaping views of what is ‘natural’, ‘normal’ and ‘good’ and therefore desirable in what a future (recovered) nature looks like. We suggest that nature recovery initiatives take aesthetics seriously, by interrogating how idealisations of ‘how nature should look’ may influence decision‐making alongside ecological and other considerations. Taking aesthetics seriously also opens avenues for engaging with social and environmental justice, where alternative aesthetics can help in imagining more socially and environmentally just futures. Read the free Plain Language Summary for this article on the Journal blog.

Impact of regional environmental non-governmental organization density on green innovation and firm value

Impact of regional environmental non-governmental organization density on green innovation and firm value

Optimization of Business Processes Through BPM Methodology: A Case Study on Data Analysis and Performance Improvement

This study explores the application of the BPM lifecycle to optimize the market analysis process within the market intelligence department of a major energy company. The semi-structured, virtual nature of the process necessitated careful adaptation of BPM methodology, starting with process discovery through data collection, modeling, and validation. Qualitative analysis, including value-added and root-cause analysis, revealed inefficiencies. The redesign strategy focused on selective automation using Python 3.10 scripts and Power BI dashboards, incorporating techniques such as linear programming and forecasting to improve process efficiency and quality while maintaining flexibility. Post-implementation, monitoring through a questionnaire showed positive results, though ongoing interviews were recommended for sustained performance evaluation. This study highlights the value of BPM methodology in enhancing decision-critical processes and offers a model for adaptable, value-driven process improvements in complex organizational environments.

Automated Bell and LED Display System

Traditional school bell systems and manual scheduling methods often lead to inefficiencies, inaccuracies, and confusion, resulting in operational delays and unclear communication regarding class timings. To address these issues, this project introduces an automated school bell system with a digital display that provides real-time updates on current periods, upcoming classes, and accurate time. Our system utilizes an Arduino microcontroller to automate the ringing of classroom bells based on a pre-set schedule. The bell timing can be easily programmed and adjusted through a user interface, ensuring precise synchronization with the academic timetable. Additionally, an integrated LED display provides real-time visual cues, indicating the current period and upcoming period. This feature helps to minimize confusion and ensure that both students and faculty are consistently informed of schedule changes. This will enable easy management and scheduling updates, reducing the likelihood of errors and improving overall operational efficiency. By streamlining scheduling and enhancing communication clarity, this solution aims to create a more organized and efficient school environment.

Internal communication from a happiness management perspective: state-of-the-art and theoretical construction of a guide for its development

ObjectiveThis study aims to conduct a literature review and meta-analysis on the use of Happiness Management strategies in internal communication. The objective was to extract theoretical constructs of dimensions and indicators for the development of a guide for its application, validated by a panel of experts.MethodsA systematic literature review and meta-analysis was performed under the protocol of the PRISMA Extension Guide of articles indexed in the Scopus database (2019–2024). The total number of extracted documents (n = 479) was screened based on the inclusion criteria, and the sample was delimited by 49 studies. Subsequently, after reading and analyzing the research, the dimensions and indicators of internal communication from a Happiness Management perspective were clustered. This guide was submitted to a panel of 13 experts who determined the reliability and validity of the construct and content using the Content Validity Index (CVI).ResultsThe dimensions and indicators emerging from the literature were validated with an average (X¯\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\overline{\\mathrm X}$$\\end{document}) of 3.36/4, achieving a level of inter-judge agreement (CVI) of 0.86, an excellent agreement of 86%, and an average score of 2.90/4 (high). The guide was composed of 9 dimensions of internal communication: Attitudes of the leader, employer or supervisor, Climate and communication policies, Feedback and recognition, Organizational environment and structures, Peer and informal communication, Organizational culture and business perspective, Employee-organization relationship, Communication media and platforms, and Employee attitudes, which brought together 103 variables. These dimensions were then reorganized into the three macro-dimensions of the Happiness Management philosophy: (1) active construction of a healthy work environment and well-being, (2) formation of employees’ positive personality, and (3) active emotional experience during the working day to build the internal communication development guide from the Happiness Management perspective.ConclusionsIntegrating Happiness Management into internal communication can significantly enhance employee well-being and organizational effectiveness. The validated framework provides a detailed guide for aligning internal communication strategies with the Happiness Management principles.

MOTIVAÇÃO NO AMBIENTE DE TRABALHO: FATORES E IMPACTOS NO DESEMPENHO ORGANIZACIONAL

Motivation in the workplace is of utmost importance for companies, as understanding the factors influencing motivation within the work environment is essential to promoting well-being and productivity in organizations. This study aimed to analyze the impact of motivation on the work environment for employees at an agribusiness company located in Céu Azul, Paraná, focusing on the influence of motivation on performance, satisfaction, and productivity within the organizational context. This company was chosen due to affinity, greater feasibility for exploration by researchers, and primarily because it provided all necessary resources for data collection and analysis. Methodologically, the purpose of the research is applied; regarding the approach and objectives, it is a qualitative, exploratory, and descriptive study. Technically, it is a bibliographic study. To achieve the objective, an interview was conducted with employees. The results obtained through the interviews indicate that the organizational environment in the sector where the research was conducted is exemplary, with one of the main challenges being the balance between personal and professional factors that impact motivation and daily performance. This study incorporates insights from various authors to analyze the importance of maintaining a motivated and healthy work environment. Therefore, the present study affirms that motivation is one of the main pillars impacting organizational performance and should be a priority for companies striving for market success. Hence, it is essential for companies to develop consistent motivation strategies, tailored to the needs of each team and aligned with organizational goals, fostering an environment that inspires everyone to give their best and achieve excellent results.

Factors Influencing Intention in Implementing an External Whistleblowing System

This studies goals to research and decide the simultaneous and partial affect of Instrumental, Affective, Self-Efficacy, Perceived Controllability, and Independence Commitment on External Whistleblowing Intention with Perceived Organizational Support as a moderating variable. This studies makes use of quantitative research with purposive sampling methods. This research combines internal factors in the form of personality and external factors in the form of the organizational environment as a basis for implementing external whistleblowing, to find out which factors are able to encourage whistleblowers to implement external whistleblowing. This is a primary data originating from questionnaire respondents. The questionnaire was made in electronic form, using Google Form media. Respondent data came from Senior Auditors and Supervisory Auditors of Public Accounting Firms (KAP) in Indonesia, totaling 100 respondents. SmartPLS version 3 was used for analysis. Results indicate that Instrumental variable has a positive effect on External Whistleblowing Intention. Affective has no effect on External Whistleblowing Intention. Self-Efficacy has no effect on External Whistleblowing Intention. Perceived Controllability has no effect on External Whistleblowing Intention. Independence Commitment has no effect on External Whistleblowing Intention. Perceived Controllability does not moderated by Perceived Organizational Support on External Whistleblowing Intention. Affective does not moderated by Perceived Organizational Support on External Whistleblowing Intention. Independence Commitment does not moderated by Perceived Organizational Support on External Whistleblowing Intention. Self-Efficacy does not moderated by Perceived Organizational Support on External Whistleblowing Intention. Instrumental does not moderated by Perceived Organizational Support on External Whistleblowing Intention. This research has limitations. The data was obtained from an instrument based on answers based on the respondents' perceptions and experiences. Research data can be biased, because if the respondent's answers are different from their perceptions and experiences of the actual situation, it can reduce the accuracy of the information from this research.

Effect of Classroom management techniques on students’ performance at higher secondary level

Classroom management techniques play a crucial role in shaping students' performance by creating an organized and supportive learning environment that fosters engagement and minimizes disruptive behaviors. Effective strategies, such as establishing clear expectations and promoting positive interactions, directly enhance students' academic achievement and social development. The design of the study is descriptive in nature. This study was quantitative research. In the realm of quantitative research, positivism serves as the leading philosophical paradigm. Residents of the district of Lahore who were enrolled in public higher secondary schools made up the entire population. The questionnaires were the instrument that was used for the investigation. Experts' comments were used to determine the validity of the questions, and pilot testing was used to determine the reliability of the questionnaires. The use of inferential methods, specifically regression analysis, was made. The results of the research indicate that there was a highly significant effect of classroom management strategies on the academic performance of students who were enrolled in further secondary education.

Financial management of an environmental enterprise

The article examines financial management of environmental enterprises from the standpoint of evaluating the results of financial analysis and specifics of its implementation. Increasing the competitiveness of environmental organisations in the Russian Federation and ensuring their prospects in the face of sanctions and restrictions at this stage of development is becoming increasingly relevant. The authors propose a methodology for financial analysis of industrial and environmental activities of an enterprise based on the calculation of key financial and private environmental indicators of environmental enterprises. The novelty of this study lies in an integrated approach to financial management based on the results of the analysis of financial and private environmental indicators of environmental organisations, covering the financial and environmental aspects of their activities. The integrated approach to financial management is innovative because it is founded on the close relationship between financial and environmental activities of enterprises. The presented article develops analytical support and methodological tools of the analysis for use by environmental enterprises, with consideration to their specifics, in order to improve the efficiency of financial management. The practical significance of this article lies in the analytical provision of effective financial management for the sustainable development of environmental enterprises.