bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluating the Impact of Managerial Decisions on Production Costs Using the Leveling of Effective Factors
Authors: Ghashghaei Mohammad Taghi , Ahmadimousaabad Aiyob , Taleghani Mohammad
Published: February 2025

the aim of this study was to assess the impact of internal and external decisions on the cost of industrial products. the research method is applied and quantitative. the statistical population of the study is experts and experts in academia and industry that 25 people were selected as the sample size by theoretical saturation method. a researcher - made questionnaire was used to collect data. validity was confirmed by experts and reliability was confirmed by cronbach 's alpha. the results of quantitative data were analyzed by interpretive approach. the results showed that a total of 31 factors in the five categories of sales and marketing factors, investment factors, production factors, legal factors and price elasticity factors have an important role in the cost of industrial products that were placed in levels 2, 1, 4, 4 and 3, respectively. therefore, when making decisions about determining the cost of the products in question, continuous attention should be paid to these internal and external factors.
Developing a Model for Audit Documentation Quality Using Internet-Based Technologies Based on a Grounded Theory Approach
Authors: Peyvandi Paniz , Yalfani Amir , Fazeli Naghi
Published: February 2025

The present study aims to develop a model for audit documentation quality using internet-based technologies based on a grounded theory approach. Methodologically, the study is descriptive-analytical and, in terms of its purpose, practical. Data collection methods include library research and field studies. In the qualitative phase, data collection tools included observations and interviews, while in the quantitative phase, a questionnaire was employed. The qualitative statistical population consisted of experts and specialists affiliated with the Iranian Association of Auditing. Data analysis from each in-depth interview was conducted using purposive snowball sampling until theoretical saturation and data adequacy were achieved (20 interviews were conducted to reach theoretical saturation). Sampling in the qualitative phase was performed non-probabilistically and purposively. In the quantitative phase of the study, aimed at validating the final model, the statistical population included all auditors from selected and accredited firms. The sample size for this phase was calculated using Cochran's formula, resulting in 373 participants. A combination of qualitative and quantitative methods was employed for analysis. In the qualitative phase, in-depth interview techniques were used, and in the quantitative phase, interpretive structural modeling (ISM), structural equations modeling (SEM), and fuzzy DEMATEL and fuzzy ANP techniques were applied. Using the interview technique, nine criteria were identified, and strategies for audit documentation quality using internet-based technologies were proposed based on a grounded theory approach. Interpretive structural modeling and structural equations modeling elucidated the relationships between variables and the preliminary model framework. The fuzzy DEMATEL results revealed that "organizational factors" had the most significant impact on audit documentation quality using internet-based technologies compared to other factors, with "managerial factors" ranking second. Additionally, "supervisory and technological factors" were the most influenced by other factors. Fuzzy ANP results indicated that organizational factors were the highest priority, followed by long-term relationships, with other criteria ranking third.
The Role of Innovation in the Performance of Maritime Services Using Unmanned Vessel Technologies
Authors: Rezaeian asl Hamid , Yadolahi farsi Jahangir , Davari Ali
Published: February 2025

This study aims to investigate the role of innovation in improving the performance and competitiveness of small shipbuilding businesses and advanced maritime industry businesses in Hormozgan Province. The study employed a descriptive-survey research design, with data collected through structured questionnaires distributed to employees and experts in small shipbuilding businesses and advanced maritime industry businesses. The total sample size comprised 950 respondents. Statistical analyses, including one-sample T-tests and Pearson correlation tests, were performed using SPSS to evaluate the impact of various innovation indicators, such as entrepreneurial drivers, human capital, and technological advancements, on business performance and competitive advantage. The results showed that all innovation indicators had significantly higher mean scores than the neutral benchmark of 3 (p < 0.001), indicating their positive impact on performance. Key factors for small shipbuilding businesses included entrepreneurial drivers (mean = 4.43), human capital (mean = 4.95), and technological advancements (mean = 4.61). For advanced maritime industry businesses, human capital (mean = 4.88) and knowledge utilization (mean = 4.88) were critical contributors. Overall innovation performance scores were 4.14 for small shipbuilding businesses and 4.31 for advanced maritime industry businesses, highlighting the substantial role of innovation in both sectors. Innovation serves as a fundamental driver of performance and competitiveness in maritime businesses. Emphasizing human capital development, leveraging digital technologies, and fostering a culture of innovation are essential for sustainable growth. However, challenges such as limited collaboration and knowledge-sharing mechanisms need to be addressed to maximize innovation's potential impact.
Designing an Open Innovation Model Based on Sustainable Ethical Behaviors Using Textual Content Analysis Approach
Authors: Hosseini Seyyedeh Elham , Kia Kojouri Davood , Rahmaty Maryam , Hajiaghajani Azam
Published: February 2025

Given the unrestricted nature of knowledge in today's world and the dissolution of rigid boundaries between organizations and even countries, the concept of closed innovation has been replaced by open innovation. Organizations are transitioning from closed innovation to open innovation, which represents one of the most complex stages of the innovation process. Sustainable business ethics is considered a crucial issue for organizations, and the lack of recognition of its related indicators can lead to negative consequences in society. The present study aims to design an open innovation model based on sustainable ethical behaviors using a textual content analysis approach. Accordingly, 45 domestic articles and 77 international articles were utilized. Based on the content analysis approach, the identified factors include individual factors with six criteria (respectful behavior, honesty, conscientiousness, benevolence, prudent behavior, and knowledge sharing), organizational factors with six criteria (meritocracy, support, workplace spirituality, informed decision-making, fair evaluation, and excellence), and environmental factors with five criteria (law compliance, technology, scholarly interaction, supportiveness, and trust). These factors collectively contribute to open innovation based on sustainable ethical behaviors.
A Unified Framework for High-Speed, Secure SDN: A Data Plane Approach
Authors: Tabatabaei Manesh Seyyed Reza , Manavi Nezhad Abbas
Published: February 2025

The paper presents a scalable, software-centric architecture for secure, high-performance networking in the SDN environment. Our approach merges robust security with near line-rate throughput by integrating high-speed packet processing capabilities with optimized cryptographic operations into one cohesive SDN framework. At the heart of the architecture is the Data Plane Development Kit, which, through user-space processing, zero-copy buffering, advanced memory management, introduces low latency with reduced intruptions for packet handling. It integrates IPsec in such a way as to provide data confidentiality and integrity at the IP layer. The architecture takes advantage of vector packet processing to flexibly manipulate packets, adapt routing decisions on the fly, and make changes according to evolving network requirements. This forms one cohesive system that ties security with speed, giving operators agility to scale services, enforce policies, and protect sensitive data with software-driven efficiencies and minimal reliance on specialty hardware.
Validation of the Model on the Impact of Leader's Cultural Intelligence on Organizational Performance Empowerment Considering the Mediating Role of Organizational Structure
Authors: Sarvari Gholamreza , Razeghi Saeed , Mahmoudian Hamid
Published: February 2025

The aim of the present study is to validate the model of the impact of a leader's cultural intelligence on organizational performance empowerment, considering the mediating role of organizational structure. In the first phase, the research is exploratory in terms of its objective and fundamental in terms of its outcome, utilizing qualitative data. In the second phase, the research is explanatory in terms of its objective and developmental in terms of its outcome, employing quantitative data. In the qualitative phase, the target population consisted of university faculty members and management experts in Khuzestan province. Purposeful sampling was used in the qualitative phase, and through theoretical purposeful sampling, the sample members were identified. The sample size in the qualitative phase was determined based on the level of saturation, with interviews conducted with 20 faculty members and experts in the relevant field. The target population for the quantitative part of the research consisted of professionals and academics specializing in management and cultural studies. The sample size was determined to be 384, with 300 completed questionnaires ultimately received. For data collection in the present study, semi-structured interviews with experts were used to design the questionnaire. Based on the results of the interviews with experts and the indicators and components derived from them, a questionnaire was developed. Data analysis from the interviews was conducted using the grounded theory approach based on Strauss and Corbin's (1998) systematic approach, which includes open, axial, and selective coding stages. The results revealed that the model of the impact of leader's cultural intelligence on organizational performance empowerment, considering the mediating role of organizational structure, has adequate validity.
Evaluation of the Leadership Capabilities Model for Organizational Service Productivity (Case Study: Public Banking Sector in Iraq)
Authors: Mohammed Abdali Qasim , Aghasi Saeid , Abdullah Amanah Ahmed , Davoodi Sayyed Mohammad Reza
Published: February 2025

The aim of this research is to evaluate the leadership capabilities model for organizational service productivity, with a focus on the public banking sector in Iraq. This research is applied in nature and descriptive-correlational in method. The statistical population of the study consists of senior and middle managers of state-owned banks in Iraq, totaling 217 individuals. Using Cochran's formula, the sample size was calculated to be 138 individuals. The sample was selected randomly. The data analysis tool used is a standardized questionnaire, and the software for data analysis is PLS. The results indicate that leadership capabilities, with components such as possessing strategic visions, having effective organizational communication, team management and leadership skills, having appropriate personality traits, focusing on customer needs, the ability to facilitate changes, and having decision-making power, are significantly related (t_value > 1.96). The overall model fit, based on the GOF formula, was found to be 0.59, which indicates a strong fit.
Structural Equation Model of Factors Affecting Employee Learning at Day Insurance Company Based on Heutagogy Approach
Authors: Ghalandari Hasan , Mohamaddavodi Amirhossein , Jafari Parivash
Published: February 2025

The study aimed to investigate the factors influencing employee learning based on the heutagogy approach at Day Insurance Company. By focusing on individual, organizational, and environmental factors, the research sought to identify their contributions to self-determined learning in a workplace context. The study further aimed to validate a structural equation model of these factors and their relationships with employee learning outcomes, providing insights for fostering heutagogical practices in organizations. A quantitative survey-based research design was employed to collect data from employees of Day Insurance Company. A researcher-designed questionnaire was developed to assess factors influencing heutagogical learning, which included individual (e.g., motivation, job satisfaction), organizational (e.g., managerial support, feedback mechanisms), and environmental (e.g., socio-cultural factors) dimensions. The sample consisted of 230 employees, selected using the Cochran formula. Data were analyzed using SPSS for descriptive statistics and SmartPLS for structural equation modeling to evaluate the relationships among variables and the overall model fit. The results revealed that individual factors had the strongest influence on employee learning outcomes, with motivation and job satisfaction emerging as critical contributors. Organizational factors, such as managerial support, job expectations, and technological infrastructure, also significantly impacted learning outcomes, while environmental factors played a comparatively weaker role. The model demonstrated a strong fit (R² = 0.834), indicating that the identified factors accounted for 83.4% of the variance in employee learning outcomes. These findings highlight the importance of both individual agency and organizational support in implementing heutagogical learning practices. The study underscores the effectiveness of the heutagogy approach in fostering employee learning, with individual and organizational factors playing pivotal roles. Organizations should prioritize strategies that enhance motivation, provide supportive feedback, and invest in technological infrastructure to support self-determined learning. These findings contribute to the growing body of research on heutagogy and its practical applications in workplace learning.
Providing a Cybersecurity Evaluation Model for Small and Medium Enterprises (SME) (Case Study: Hamoon Nayzeh Pipe Manufacturing Company)
Authors: Halvaei Hosnaroudi Meysam , Mehri Nejad Safiyeh , AminMousavi Abdollah
Published: February 2025

In this study, an effort has been made to design and present a comprehensive and systematic framework for evaluating cybersecurity in small and medium enterprises (SMEs) based on the meta-synthesis approach. This research aims to identify existing models and provide solutions for assessing and improving the cybersecurity status in such companies. The present study is qualitative and utilizes the meta-synthesis approach to analyze and integrate the results of previous research. In this research, all articles published in reputable scientific journals (ISI), books, theses, and internal and external scientific reports related to cybersecurity in SMEs, especially in areas such as cyber threats, data protection, risk management, and security solutions, from 2015 to 2024 were collected and analyzed. After coding and analysis, key factors effective in evaluating the cybersecurity of SMEs were identified. The results from the data analysis indicate that cybersecurity evaluation in SMEs requires a multidimensional approach that, in addition to addressing cyber threats, also considers cultural and organizational aspects. The proposed framework includes various components such as cyber risk assessment, vulnerability identification, evaluating training needs and employee awareness, analyzing cyber threats and attacks, and developing comprehensive security policies. Moreover, the proposed model emphasizes the importance of establishing resilient security infrastructures against threats and utilizing advanced technological tools such as Intrusion Detection Systems (IDS), firewalls, and data encryption.
Grounded Theory Model of Women's Managerial Competencies Based on Industrial Technological Innovations: A Case Study of Entrepreneurial Food Companies
Authors: Samadi Masoumeh , Mohammadi Mohammad , Hakimpour Hossein , Rezaeifar Hamid
Published: February 2025

The aim of this study is to present a grounded theory model of women's managerial competencies based on industrial technological innovations (case study: entrepreneurial food companies). This research is exploratory in nature and qualitative in methodology. The statistical population of the study includes 15 women managers, deputies, and experts in the food industry, as well as distinguished entrepreneurship professors from universities. The sampling was conducted using snowball sampling. The data collection tool used in this study was a questionnaire focused on women’s management and technological innovation. Grounded theory was used to analyze the data. The indicators of negative societal attitudes toward women's management, patriarchy, and gender stereotypes, as well as the absence of women in political groups, were identified as intervening conditions in the presentation of the model for women’s managerial competencies in the food industry. The indicators of aligning abilities with assigned tasks, resolving conflicts between work and family, work experience, mastery over one’s profession, and updating one’s knowledge, awareness, and expertise were selected as strategies and actions in the presentation of the model for women’s managerial competencies in the food industry. The indicators of analytical and critical thinking, creative thinking, strategic thinking, systems thinking, general and specialized knowledge, research skills, presenting innovative and scientific ideas, adequate knowledge and expertise, work commitment, emotional intelligence, responsibility and accountability, self-esteem and self-confidence, self-awareness and insight, discipline, confidentiality, resolving interpersonal conflicts, receptiveness to criticism and recommendations, humility in behavior, understanding employee problems and aligning them with organizational goals, humanitarian and compassionate attitudes, identifying problems, evaluating solutions, and establishing good social relationships with other employees were selected as causal conditions in the presentation of the model for women’s managerial competencies in the food industry.
Evaluation of Financial Technology (FinTech) Indicators Using a Mixed-Methods Approach in the Banking Industry
Authors: Mosayebi Peyman , Mehri Nejad Safiyeh , Minoei Mehrzad , Mehrani Azadeh
Published: February 2025

The purpose of this study is to evaluate the indicators of Financial Technologies (FinTech) using a mixed-methods approach in the banking industry. This research is applied in nature and descriptive-analytical in terms of methodology, conducted through a cross-sectional survey. The research employs an exploratory mixed-method approach, combining qualitative (Delphi method) and quantitative (Importance-Performance Analysis) techniques. The statistical population of the study consists of two groups: the qualitative group includes banking experts with doctoral degrees in financial management and information and communication technology, while the quantitative group comprises an unlimited number of customers from the banking industry. A purposive sampling method was used, with a sample size of ... determined for the qualitative group, and 384 participants for the quantitative group based on Cochran’s formula. Based on semi-structured interviews, the desired components were identified using thematic analysis. In the quantitative section, partial least squares (PLS) regression was used to determine the relationships between variables and their associated importance coefficients, with Importance-Performance Matrix Analysis used for component ranking. Based on Delphi results, a researcher-made questionnaire was applied in the quantitative phase. Excel software was used in the qualitative section, while SMARTPLS was utilized in the quantitative phase. Banks' goals and planning based on FinTech, considering the rapid changes in the market and customer needs, should be designed to adapt to these changes and innovations. Strategic planning based on FinTech helps banks to remain flexible in the face of new market challenges and opportunities, paving the way for their success.
Optimization of Logistics and Industrial Wastewater Treatment System Using Grey Wolf Optimization Algorithm
Authors: Mahmoodabadi Mostafa , Abedi Sadegh , Danesh Shakib Masoumeh
Published: February 2025

Industrial wastewater collection involves the systematic gathering, transportation, and disposal of waste generated by industrial activities. This process is crucial for maintaining environmental health and safety, as industrial wastewater may contain hazardous materials that require special management. Effective waste collection strategies not only help reduce pollution but also contribute to the recycling and reuse of materials, thereby conserving resources. Advanced technologies and adherence to regulations play key roles in ensuring the efficient and sustainable management of industrial wastewater. Considering the role of closed-loop supply chains in industrial wastewater collection, this paper presents a bi-objective mathematical model aimed at minimizing both the costs associated with surface wastewater collection and the environmental pollution from waste discharge. The model is solved using the multi-objective Grey Wolf Optimization algorithm. The results show that the model extends the network by including more vehicles and increasing the distances between locations. This optimal collection model ensures that wastewater is gathered from candidate sites by the vehicles within the network. Additionally, sensitivity analysis reveals that the most influential parameters on the model's objectives are the transportation cost per unit distance, the penalty for vehicle usage, and the revenue per kilogram of treated wastewater.
Investigating the Effect of Mimetic Isomorphism in Implementing Sustainable Development
Authors: Mohammadnezhad Saeed , Ayazi Samad , Naderian Arash
Published: February 2025

If companies seek survival and the achievement of their objectives, they must adapt to their normative environments. This study suggests that in the context of isomorphism, when companies interact, they tend to influence each other’s behaviors and actions within their social bounds. In this regard, companies initially joined sustainable development as a response to external pressures and criticisms from governmental institutions and civil society organizations, which blame businesses for environmental degradation. The process of isomorphism explains why companies eventually change in line with uncertainties in behaviors and actions due to collective entanglement. In response to social changes in society, social networks consistently play a prominent role in defining, forecasting, responding to, and adapting to global, social, and environmental changes. Therefore, sustainable development is an example of such a global change. Consequently, this research examines the effect of mimetic isomorphism in the implementation of sustainable development, and the results of structural equation modeling indicate that all three measured dimensions of sustainable development—environmental, social, and corporate governance—are significantly influenced by mimetic isomorphism. Additionally, the findings of these studies suggest strong evidence of the operationalization of sustainable development due to mimetic isomorphism.
Development of a Fuzzy Case-Based Reasoning Decision Support System for Water Management in Smart Agriculture
Authors: Moosavi Sayed Vahed , Radfar Reza , Setayeshi Saeed
Published: February 2025

This paper proposes a decision support system aimed at improving water management in smart agriculture, utilizing the Case-Based Reasoning (CBR) methodology. Given the increasing challenges of water resources and the need for their optimal use in agriculture, the application of advanced technologies for smart resource management has gained significant importance. The proposed system assists in better decision-making regarding irrigation timing and quantity by collecting data from various sensors, including information about environmental conditions, soil status, and plant water needs. As part of the system, the case-based reasoning model uses historical data and similarity comparison between current situations and previous cases to offer optimal water management solutions. The Internet of Things (IoT), as the main infrastructure of this system, facilitates the continuous and real-time collection of data, thereby enhancing the accuracy of decisions. The results obtained show that this system can optimize water consumption, reduce irrigation costs, and increase agricultural productivity. The key findings of this study suggest that this approach could serve as a sustainable solution for water efficiency in smart agriculture and optimal water resource management in the future.
Prioritizing Innovative Organizational Factors for State-Owned Enterprises (Case Study: Iraq)
Authors: Basheer Abu Khch Hussein , Aghasi Saeid , Abdullah Amanah Ahmed , Davoodi Sayyed Mohammad Reza
Published: February 2025

The aim of the present study is to prioritize the innovative organizational factors for state-owned enterprises (case study: Iraq). The research is applied in nature and uses a survey method. Data analysis was conducted using the DEMATEL technique. The statistical population consists of managers of state-owned companies in Iraq, as well as academic professors and experts. The sample size includes ten managers from state-owned companies, selected through random sampling. The research instrument is a researcher-developed pairwise comparison questionnaire. The validity of the questionnaire was confirmed through a review by a group of management professors. The results indicate that the criteria for net impact, in order of priority, are: 1) Strategic, 2) Legal, 3) Organizational, and 4) Technical. The criterion for the outcome (net effect) is also identified as the individual aspect. In the examination of the sub-criteria, determining and focusing on innovative strategies was identified as the most influential sub-criterion, while the development of strategic thinking in employees was identified as the most impactful factor.
Energy Futurology: The Renewable Energy Revolution and the Future of Global Energy Supply
Authors: Jafari Mina , Nazarizadeh Farhad
Published: February 2025

The world is on the brink of a significant transformation in the energy sector. Rising concerns about climate change and the depletion of fossil fuel resources have accelerated the transition towards renewable energy sources. This study focuses on examining the global upward trend in adopting renewable technologies such as solar, wind, and hydropower. Findings indicate significant progress in the production and increased share of renewable energy in the global energy mix, attributed in part to domestic and international regulations and commitments to sustainable energy provision, as well as a growing trend in demand. Several critical factors influence this transition, including government support policies, investments, and technological innovations, which play a substantial role in creating economic opportunities, generating employment, and impacting the environment and local communities. However, despite these significant advances, challenges such as financial, technological, regulatory, and policy limitations persist, requiring targeted planning and special attention.
The Model of Marketing and Sales Outcomes in the Bitumen Market
Authors: Esfandiar Masoud , Asayesh Farzad , Rousta Alireza , Hashemi Seyed Mahmood
Published: February 2025

Marketing and sales outcomes are typically shaped based on long-term and interactive relationships between companies. These markets often involve complex and specialized products and services that require technical knowledge and a deep understanding of customer needs. The marketing and sales process in these markets comprises multiple stages, including identifying customer needs, presenting customized proposals, conducting complex negotiations, and establishing long-term contracts. In this environment, intercompany relationships are highly significant, and decision-making is primarily carried out by purchasing teams composed of managers and various experts. The objective of this study was to present a model of marketing and sales outcomes in industrial markets. This study is applied in terms of its objective and qualitative in terms of methodology, employing a grounded theory approach. Data and information were collected through a literature review and semi-structured interviews. Based on purposive sampling, 14 managers and experts from companies operating in the bitumen industry were selected in 2024. The conducted interviews were coded using ATLAS.TI software. The results identified the marketing and sales outcomes model, including increased market share, enhanced customer satisfaction, improved profitability, market differentiation, and optimized marketing performance. The marketing and sales outcome model in the bitumen market necessitates specific approaches that differ significantly from other industries. In this industry, emphasis is placed on establishing long-term customer relationships, extensive networking, and maintaining strong connections with key customers. Therefore, companies must actively engage in forming strategic relationships with major customers, such as construction contractors and road construction companies, to leverage the long-term benefits of these relationships.
The Function of Artificial Intelligence for Transcendent Governance with a Strategic Management Approach
Authors: Kia Kojouri Davood
Published: February 2025

This study follows a qualitative-quantitative method, employing textual content analysis in the qualitative section. Data collection tools include past research documents and library resources in this field. The data analysis method is based on open coding. According to the study’s findings, among 187 relevant articles and books, 42 studies were analyzed using a systematic review. After screening the indicators through the Delphi method, the remaining indicators were categorized into four groups for strengths and weaknesses and three groups for threats and opportunities, resulting in a total extraction of 55 indicators. The statistical population of this research consists of 10 government officials in governance who simultaneously held faculty positions in public administration and had authored works in this domain. In the quantitative section, utilizing the AHP-SWOT approach and analyzing internal and external factor matrices, the study sought to identify the most significant strengths and opportunities. It then developed and prioritized aggressive strategies to provide a practical framework for implementing artificial intelligence in governance. Ultimately, the strategies were ranked using the QSPM method. Based on the research findings, the most significant strength was facilitating informed decision-making based on logic, reason, and intuition, with a weight of 0.057, while the most important opportunity was enhancing democracy, with a weight of 0.105. The strategy of leveraging strengths in informed decision-making to improve democracy was ranked as the top strategy, with a score of 3.234. The results indicated that adopting informed decision-making based on logic and rationality as a superior strategy has significant potential for strengthening democracy and transparency in governance.
The Role of Artificial Intelligence in Improving Recruitment and Selection Processes in Public Sector Organizations
Authors: Okati Hamid
Published: February 2025

The present study aimed to examine the role of artificial intelligence (AI) in improving recruitment and selection processes in public sector organizations. This research is quantitative and descriptive-correlational in nature. The goal of such research is to investigate the relationships and correlations between the independent variable (artificial intelligence) and the dependent variable (improvement of recruitment and selection processes). The statistical population of this study consisted of all human resource employees and managers in public sector organizations in Tehran. Considering the use of the minimum sample size required for structural equation modeling, 256 respondents were included in the sample, and questionnaires were distributed among them. Six questionnaires were excluded due to incomplete responses, and statistical analyses were conducted on the remaining 250 respondents, who were selected using a multi-stage cluster sampling method. To collect data, both library and field research methods were employed, using a standardized questionnaire as the data collection tool. To assess the validity of the questionnaire, face validity, content validity, and construct validity were employed. Furthermore, reliability was measured using Cronbach's alpha coefficient, composite reliability, and McDonald's omega. Descriptive and inferential statistical methods were used in this study. In the inferential statistics section, structural equation modeling was employed using SmartPLS V3 software (2016). The findings indicated that artificial intelligence and its components (AI management, AI-based decision-making, AI infrastructure, AI skills, and AI adoption propensity) had a significant and positive effect on improving recruitment and selection processes in public sector organizations.
Presenting an Online Impulsive Buying Decision Model with a Neuromarketing Approach
Authors: Afqahi Hosna , Makizadeh Vahid , Ghafournia Mohammad
Published: February 2025

The purpose of this study is to design an online impulsive buying decision model with a neuromarketing approach. The present research is applied in nature; qualitative in terms of method and approach; inductive in orientation; interpretive in paradigm; and employs grounded theory as its research strategy. The data collection sources include a review of theoretical foundations and interviews. The statistical population consists of experts in the field of neuromarketing (those with publications and articles in the specialized domain), university professors specializing in marketing, and psychologists active in the field of neuromarketing. Using a purposive non-probability snowball sampling method, the opinions of 15 participants were gathered through semi-structured interviews until theoretical saturation was achieved. Data analysis was conducted using MAXQDA software and involved three coding stages: open coding, axial coding, and selective coding. The research findings led to the identification of 19 main categories and 69 subcategories. These were incorporated into a paradigm model, with online impulsive buying decision-making as the core category, and included causal conditions (cognitive factors, impuslive factors, personality factors, and old brain stimuli), contextual conditions (environmental factors, situational factors, marketing-oriented factors, demographic factors, and cultural factors), intervening conditions (economic factors, ethical factors, and technical factors), strategies (utilizing neuroscience tools and employing neuromarketing), and consequences (analyzing consumers' impuslive behavior, optimizing customer relationships, creating effective advertisements, increasing online impulsive sales, and optimizing branding).
Providing a Behavioral Educational Model for Socially Vulnerable Groups
Authors: Masoum Beigi Mohammadreza , Banisi Parinaz , Jahed Hoseinali
Published: February 2025

The objective of the present study was to propose a behavioral educational model for socially vulnerable groups. The research was applied in terms of its objective and employed a mixed-method exploratory design. In the qualitative phase, thematic analysis was used, while the quantitative phase employed a descriptive-survey approach. The statistical population in the qualitative phase included academic experts and experienced officials from universities in Tehran, who were selected using non-probability purposive sampling. In the quantitative phase, the statistical population consisted of all stakeholders involved with child labor in Tehran Municipality, including managers and deputies, who were selected through structural equation modeling. Stratified random sampling was used in this phase. Data collection tools included semi-structured interviews in the qualitative phase and a researcher-made questionnaire in the quantitative phase. To assess internal validity in the qualitative phase and external validity of the researcher-made questionnaire based on the model components, relevant metrics were used. In the qualitative phase, the credibility criterion was applied, and reliability was examined through detailed documentation of the research process and intra- and inter-researcher alignment. Additionally, in the quantitative phase, validity was assessed using content and construct validity, while reliability was measured using Cronbach's alpha and composite reliability coefficients. Data analysis in the qualitative phase involved thematic analysis using Maxqda-V2018 software, whereas the quantitative phase applied descriptive and inferential statistics using SPSS-v23, SmartPLS-v3, Lisrel V8.8, and ExpertChoice-V11 software. The findings revealed that the dimensions of the behavioral educational model for socially vulnerable groups included educational (curricula, teaching methods, educational equipment and resources, educational evaluation, teacher professional development, extracurricular activities), psychological (psychological support, psychological empowerment, psychological care, emotional support, family support), social (social support, opportunities for social participation, social awareness, enhancement of social skills, promotion of social solidarity, social networking), economic (job skills, entrepreneurship, local economic development, financial management training, economic empowerment), and cultural (preservation of cultural identity, cultural education, cultural communication, artistic development, protection of cultural heritage, cultural promotion) aspects. The results of this study not only contribute to improving the behavior of socially vulnerable groups but also serve as an effective tool for enhancing the quality of behavioral education for child laborers.
ANALYSIS OF MATHEMATICAL LITERACY AND CREATIVITY: IMPLEMENTATION OF HABITS OF MIND AND SELF ESTEEM STRATEGIES IN STUDENTS
Authors: Maharani Fitriana  , Achi Rinaldi  , Siti Ulfa Nabila
Published: February 2025

The purpose of this study is to determine the influence of MHM learning strategies on mathematical literacy and mathematical creative thinking reviewed from the self-esteem of students at SMP Negeri 5 Bandar Lampung in grade VIII. This study uses the analysis of the two-way manova test with the level of. In the results of the manova test, the score for the mathematical literacy test was obtained so that it was rejected, it can be interpreted that there is a significant influence between MHM and conventional learning strategies, in the creative thinking test it has a value so it is rejected, which means that there is a significant influence between MHM and conventional learning strategies. In self-esteem and literacy, there is a significant influence because of value, namely, while self-esteem with creative thinking has a value which is rejected can be interpreted as a significant influence. When viewed simultaneously, there is a significant influence between the mathematical literacy test and mathematical creative thinking with the value and which of the value  is rejected.
THE ROLE OF ORGANIZATIONAL LEADERS IN ENCOURAGING TRANSPARENCY AND BUILDING AN ANTI-CORRUPTION CULTURE ON CAMPUS
Authors: Dhea Fadilla
Published: February 2025

Corruption is one of the biggest challenges facing organizations in various sectors. Transparency is considered an important principle in preventing corruption. This research aims to determine the role of leaders in encouraging transparency and the strategies used to prevent corruption in organizations. By using a qualitative approach through interviews, this research found that ethical and open leadership can increase a culture of transparency in the work environment. Leaders act as role models in obeying regulations, enforcing anti-corruption policies, and establishing effective monitoring systems. In addition, good leadership has a positive impact in motivating organizational members to behave ethically and report suspected violations. This research suggests the importance of leadership training that focuses on integrity and transparency to create a corruption-free organizational environment.
Retracted: Pengenalan Industri 4.0 di SMK Taman Siswa Palembang
Authors: R.A Nurul Moulita  , Faizah Suryani  , Marthin Luther King  , Rita Maria Veronika  , Madagaskar
Published: February 2025

Following up on the findings of the CV. Doki Course and Training Management team regarding indications of articles published in Rumah Jurnal CV. Doki Course and Training on Bersama : Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2024) published on December 28, 2024 with the title: Pengenalan Industri 4.0 di SMK Taman Siswa Palembang at the link: https://jurnal.dokicti.org/index.php/bersama/article/view/810. Because of the research results of CV. Doki Course and Training management and journal managers. That the authors published in our journal have committed Academic Integrity Violations in the form of Plural Submissions: https://anjani.kemdikbud.go.id/contents/pengajuan-jamak-76037816. Evident from: Articles published in Pengabdian Masyarakat Sumber Daya Unggul Vol. 2 No. 4 (2024) published on December 29, 2024 at the link: https://publikasi.abidan.org/index.php/pmsdu/article/view/581. After we held an internal coordination meeting, the follow-up from the management of CV. Doki Course and Training was to retract the article with the title: Pengenalan Industri 4.0 di SMK Taman Siswa Palembang at the link: https://jurnal.dokicti.org/index.php/bersama/article/view/810. CV. Doki Course and Training has also reported to https://anjani.kemdikbud.go.id/ officially through the CV. Doki Course and Training Account. Thus, this notification aims to maintain the quality of journal management at Rumah Jurnal CV. Doki Course and Training.
Religious Mission in the Indonesian Context between the Pull of Humanism and Ideology
Authors: Rohmanudin Deden
Published: February 2025

Penelitian ini mengkaji isu sensitif Kristenisasi di Kecamatan Parongpong,Kabupaten Bandung Barat, serta dampaknya terhadap hubungan Islam-Kristen. Penelitian ini mengeksplorasi dinamika sosial-politik, ekonomi, dan budaya yang membentuk respons masyarakat setempat terhadap Kristenisasi, yang dipersepsikan oleh umat Islam sebagai ancaman terhadap identitas agama dan budaya mereka. Penelitian ini menemukan bahwa ketegangan antara kedua komunitas agama diperparah oleh aktivitas misionaris Kristen, khususnya yang melibatkan bantuan sosial, yang dianggap sebagai upaya konversi tersembunyi. Peran pemerintah setempat dan tokoh agama sangat penting dalam mengelola ketegangan ini, meskipun sering kali terbatas oleh regulasi yang belum jelas dansumber daya yang kurang memadai. Penelitian ini menekankan perlunya dialog antaragama yang terstruktur untuk memupuk keharmonisan jangka panjang antar komunitas. Kebaruan penelitian ini terletak pada fokus mendalam terhadap wilayah semi-urban Parongpong dan integrasi teori “Clash of Civilizations” dari Huntington dan teori “Mobilisasi Sumber Daya” dari Tilly untuk memberikan pemahaman komprehensif tentang ketegangan agama di wilayah ini. Hasil penelitian ini menekankan pentingnya dialog antaragama yang inklusif untuk menjaga perdamaian sosial di tingkat lokal.
Kata kunci: Kristenisasi, hubungan antaragama, Parongpong, ketegangan agama, dialog Islam-Kristen, mobilisasi sumber daya, Benturan Peradaban
DELINQUENCY AND ENTREPRENEUR
Authors: Noferina Tara , Yanladila Yeltas Putra
Published: February 2025

Masalah sosial yang umum terjadi di masyarakat adalah kenakalan remaja, yang jika dibiarkan, dapat berdampak buruk bagi perkembangan pribadi dan sosial mereka yang terlibat. Namun, remaja memiliki banyak potensi yang dapat digunakan untuk usaha yang lebih produktif, seperti kewirausahaan. Tujuan dari penelitian ini adalah untuk mengeksplorasi bagaimana entrepreneurship menjadi solisi alternatif  dalam membantu kaum muda yang terlibat dalam kenakalan remaja untuk bangkit menjadi wirausahawan muda yang sukses. Metode penelitian yang digunakan yakni dengan pendekatan kualitatif melalui observasi dan wawancara. Hasil penelitian menemukan bahwa dinamika entrepreneuship pada pengusaha muda sebagai usaha bangkit dari kenakalan dijabarkan melalui 10 konsep yang terdiri dari : jenis kenakalan, penyebab kenakalan, dampak kenakalan, berhenti dari kenakalan, latar belakang usaha, dorongan berwirausaha, latar belakang keluarga, tantangan berwirausaha, strategi berwirausaha, dan pencapaian. 10 konsep ini menjabarkan mengenai bagaimana proses serta dinamika yang dialami subjek dari masa kenakalannya hingga ia bisa menjadi seorang wirausahawan. Dinamika entrepreneurship pada wirausaha muda memiliki makna bahwa para pemuda nakal yang menjadi pengusaha sukses menunjukkan bahwa siapa pun dapat mengubah hidup mereka dan meraih kesuksesa dengan dukungan yang tepat, kemauan keras, dan penerapan dari pengalaman mereka sebelumnya.
GAMBARAN SELF-COMPASSION PADA MAHASISWA UNIVERSITAS NEGERI PADANG YANG KULIAH DARING
Authors: Arum Aryani  , Devi Rusli
Published: February 2025

Tujuan dari penelitian ini yaitu mencari tahu gambaran self-compassion untuk mahasiswa Universitas Negeri Padang yang kuliah dare. Jenis penelitian ini yaitu deskriptif kuantitatif dengan subjek yang diteliti berjumlah 289 mahasiswa S1 angkatan 2023 dari 9 fakultas di Universitas Negeri Padang. Metode pengambilan sampel yang dipakai yaitu purposive sampling . Teknik pengumpulan data dalam penelitian ini menggunakan Self-compassion Scale (SCS) oleh Neff (2003) yang sudah diadaptasi menjadi versi menggunakan bahasa Indonesia dengan nama skala Welas Diri (SWD) yang dikembangkan Sugianto et al. (2020). Berdasarkan hasil penelitian dapat disimpulkan bahwasanya gambaran secara umum self-compassion mahasiswa S1 angkatan 2023 di Universitas Negeri Padang yang kuliah dare berada pada kategori tinggi. Terdapat perbedaan self-compassion pada mahasiswa S1 Universitas Negeri Padang yang kuliah berani berdasarkan jenis kelaminnya dan tidak ada perbedaan pada mahasiswa S1 Universitas Negeri Padang yang kuliah berani berdasarkan fakultas.
Pengaruh Dukungan Sosial Orang Tua terhadap Stres Akademik pada Siswa SMA Negeri 1 Padang
Authors: Efendi Hidayah Fauziyah Efendi , Nurmina
Published: February 2025

Sekolah umumnya dipandang sebagai tempat untuk memperoleh pendidikan dan mempengaruhi kualitas kehidupan siswa di masa mendatang, ternyata menjadi sumber stres. Stres yang dialami oleh siswa dikenal dengan istilah stres akademik. Stres akademik erat kaitannya dengan masa remaja karena lingkungan sekolah adalah salah satu sumber stres yang paling diidentifikasi pada remaja. Munculnya stres akademik dikarenakan adanya stressor akademik. Stres pada dasarnya tidak dapat dihilangkan sepenuhnya, tetapi intensitasnya dapat dikurangi. Salah satunya dengan pemberian dukungan sosial orang tua. Penelitian ini melibatkan 317 siswa yang terdiri dari kelas X, XI, dan XII dengan menerapkan teknik stratified random sampling. Instrumen penelitian yang digunakan adalah skala dukungan sosial orang tua dan skala stres akademik. Analisis data yang digunakan yaitu analisis regresi sederhana. Diperoleh nilai signifikansi sebesar 0,015 (Sig.< 0,05), artinya hipotesis alternatif (Ha) diterima dan hipotesis nol (Ho) ditolak. Hal ini menunjukkan adanya pengaruh antara dukungan sosial orang tua terhadap stres akademik siswa. Dukungan sosial orang tua berkontribusi sebesar 1,9 % terhadap penurunan stres akademik.