International Journal of Innovation in Management, Economics and Social Sciences
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104 research outputs found
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Identifying barriers and facilitators of organizational knowledge sharing
Get PDFPurpose: The present investigation was conducted to elucidate the obstacles and enablers of disseminating organizational knowledge. It aims to sustain a competitive edge amid organizations' prevalent uncertainties while safeguarding organizational memory and intellectual capital.
Methodology: In the current investigation, we employed the Meta-synthesis methodology delineated by Sandelowski and Barroso to elucidate the underlying patterns of factors that inhibit and facilitate knowledge-sharing outcomes.
Findings: The findings derived from the analysis unequivocally suggested that the various obstacles and facilitators influencing the process of knowledge dissemination are multifaceted, encompassing a wide array of determinants that can be categorized into several domains, including individual factors, which accounted for a total of 54 distinct codes; technical aspects, which were represented by 12 separate codes; organizational influences, which comprised a substantial 87 codes; cultural considerations, which included ten specific codes; and finally, geographical factors, which were denoted by seven unique codes, thus illustrating the complexity and diversity of influences that shape knowledge transfer within various contexts.
Originality/Value: Organizations can benefit from understanding the barriers and facilitators of knowledge sharing. We encourage managers and organizational leaders to comprehend the processes underpinning knowledge dissemination and the retention of organizational memory. This study suggests many recommendations for developing organizational knowledge sharing, which can be helpful for organizations
How AI Changes the Game in Finance Business Models
Get PDFPurpose: This paper aims to examine the impact of AI on finance, including banking, risk management, and business models, while introducing AI-based tools. By exploring these applications, one can gain insights into the benefits of artificial intelligence in enhancing efficiency, productivity, and fostering innovation within financial sectors.
Methodology: The research methodology employed in this study is a literature review. Various sources have been explored, studied, and analyzed within the financial domain to highlight the utilization of artificial intelligence. This includes risk management, identity verification, asset management, and data science applications. Furthermore, specific cases have been examined as part of case studies.
Findings: The findings indicate that AI is transforming the finance industry by reshaping traditional business models and creating new growth opportunities. The integration of AI in finance has empowered companies to enhance decision-making processes, improve customer experiences, boost operational efficiency, and lower costs. AI-driven tools like predictive analytics, machine learning, and natural language processing are revolutionizing financial institutions' operations and customer interactions. As AI advances, it will play a crucial role in shaping the future of financial business models, driving competitiveness, and unlocking new industry potentials. Embracing AI technology is imperative for companies seeking to stay competitive and thrive in the dynamic financial landscape.
Originality/Value: This research introduces various applications of artificial intelligence across different financial sectors alongside practical tools that can enhance the significance of this paper
Leveraging Predictive Analytics for Enhancing Employee Engagement and Optimizing Workforce Planning: A Data-Driven HR Management Approach
Get PDFPurpose: This study examines the use of predictive analytics in Human Resource Management (HRM) to enhance employee engagement and optimize workforce planning. It explores how data-driven insights enable proactive HR strategies, improve retention, and align workforce plans with organizational objectives. Challenges such as data quality, ethical considerations, and cost implications are also addressed.
Methodology: The research is grounded in the Resource-Based View (RBV), emphasizing human capital as a strategic asset. A systematic review of literature, industry reports, and case studies highlights the applications of predictive analytics in engagement, recruitment, retention, and workforce planning.
Findings: Predictive analytics enables organizations to identify at-risk employees, personalize engagement strategies, and forecast future workforce needs. It improves recruitment processes by identifying candidates likely to succeed and reduces turnover by analyzing risk factors such as job satisfaction and performance metrics. Workforce planning benefits include accurate skill gap identification, and staffing need predictions. Challenges include ensuring data quality, navigating ethical concerns like privacy, and managing implementation costs.
Originality/Value: This study links predictive analytics with strategic HRM, emphasizing its potential to enhance decision-making and organizational competitiveness. Recommendations include investing in data quality ethical practices and training HR teams to foster a data-driven culture and sustainable workforce management
Digital Transformation in Sports Marketing: The Impact of Artificial Intelligence on Personalization and Customer Engagement
Get PDFPurpose: In todayโs digital age, customers are inundated with many sports marketing messages, prompting businesses to adopt data-driven marketing strategies to minimize dissatisfaction and engage customers on a deeper level. At the core of these strategies lies personalization, a powerful technique that enables sports marketers to tailor their messages and offers according to individual preferences. This study investigates the influence of AI on enhancing personalization and improving customer engagement in this domain.
Methodology: Data was gathered using a questionnaire created by the researcher. This was done through simple random sampling from 210 people who are interested in digital sports and digital sports marketing. The research employed a quantitative approach and structural equation modeling (SEM). The model was developed using Smart PLS TM3 software and evaluated in two sections: measurement and structural model.
Findings: The results indicated a good fit for the model, with a reported GoF index of 0.44, demonstrating substantial validation power. Findings from 210 respondents revealed that AI technologies can enhance personalization and customer interaction in digital sports marketing. However, challenges such as privacy concerns and dissatisfaction with non-human interactions need to be managed in this process.
Originality/value: By emphasizing the integration of AI in digital sports marketing, this research contributes to the literature and provides a robust framework for future studies. As the sports industry increasingly embraces digital transformation, understanding the role of AI in shaping consumer experiences becomes crucial. This study addresses the current research gaps and highlights AI's potential to redefine marketing strategies in a competitive landscape
Designing and localizing a novel cybersecurity model according to smart city digital infrastructure components (A Case Study of GreenWeb Co.)
Get PDFPurpose: Today, the world is witnessing the evolution of smart cities. The emergence of these cities results from the application of information technology innovations, which, despite creating numerous economic and social opportunities, have introduced cybersecurity and privacy threats to citizens. Smart cities' successful transition to optimal performance depends on awareness of these threats and their impact. This study aims to provide a framework for identifying and evaluating cybersecurity criteria and examining their effect on cybersecurity performance in smart cities.
Methodology: To achieve the study's practical purpose, a descriptive survey method was used to collect the necessary data. The criteria were identified through in-depth library research and surveys conducted via researcher-made questionnaires using the fuzzy Delphi method. Academic experts and relevant officials selected purposefully participated in the surveys. The importance of each criterion was determined using the fuzzy Best-Worst Multi-Criteria method. Subsequently, based on the digital infrastructure components of the smart city, the cybersecurity performance of the smart city was described according to the criteria identified in the previous step. The study hypotheses were then tested using Structural Equation Modeling based on the Partial Least Squares method.
Findings: Analysis of the fitted model and research hypotheses revealed a positive and significant relationship between the variables of cybersecurity process re-engineering and cybersecurity actions with cybersecurity performance at a 95% confidence level. Considering the value of the Rยฒ coefficient, it was observed that the variables of cybersecurity process re-engineering and cybersecurity actions collectively predicted 72.7% of the cybersecurity performance variable of the smart city.
Originality/value: This article highlights the importance of cybersecurity in smart cities. It explains factors that affect cybersecurity and proposes a conceptual framework for providing cybersecurity services based on the digital infrastructure of the smart city. This study focuses on factors that occur before incidents, such as vulnerabilities and preventive measures. Future research should consider factors that occur after incidents, such as the actions taken and the recovery of digital systems
Management of Work-Family Conflicts Based on Observance of Chastity and Hijab
Get PDFPurpose: This research aims to examine and address the management of work-family conflicts in organizations based on the observance of chastity and hijab.
Methodology: In the first stage, the key challenges faced by human resources related to the philosophy of chastity, hijab, and their roles in managing work-family conflicts in organizations were identified by using Sandelowski and Barroso's model from 2023 to 2024; after that, Martyr Motahari answers about these challenges were examined through library research method.
Findings: Several factors influence human resources' attitudes toward values, including individual circumstances, social aspects, and cultural beliefs.ย Gender justice ensures that men and women receive their rightful rights in society, and hijab, as an artistic practice, plays a role in promoting gender justice in organizations. Respecting hijab and modesty can enhance human resources' focus and mental well-being. Understanding these factors can preventย feelings of gender injustice among organization employees.
Originality/value: ย Mental ambiguity among employees can lead to job dissatisfaction, burnout, and a lack of vitality for individuals and organizations, creating a conflict between work and family life. This research addresses human resource management requirements from the perspective of individual dignity and respect, analyzing promoting gender justice through religious values
Agent-based modeling of banking service supply chain in Industry 4.0: A case study of Resalat Qard al Hasan Bank
Get PDFPurpose: Industry 4.0 has profoundly impacted the structure of businesses and organizations worldwide, and the digital revolution has led to the transformation of the supply chain of various industries, including the supply chain of banking services. Therefore, it is necessary to redesign the supply chain in the new era.
Methodology: This study investigated the supply chain of banking services of Industry 4.0 and its simulation based on agent-based modeling. This research model simulates the profit flow and other important financial variables related to agents such as customers, banks, fintechs, and other players in the supply chain of digital banking services.
Findings: The simulation results in different time periods show the amount of changes in important parameters in the face of digital transformations in Industry 4.0. Factors such as the connection of organizations and fintechs to the supply chain of banking services, as well as the removal of physical branches and the use of digital tools, change the structure of the chain in terms of information evolution, service evolution, and financial evolution.
Originality/value: This paper is one of the first studies to analyze the effects of Industry 4.0 on the banking service supply chain and can be considered a starting point for digital banking supply chain studies
ASSESSMENT OF PROJECT RISK MANAGEMENT IN SELECTED MINING COMPANIES IN ETHIOPIA
Get PDFPurpose: This study uses qualitative research to assess the project risk management practices of selected mining companies in Ethiopia.
Methodology: The study was qualitative, and data was obtained using purposive sampling methods; the study's sample size was based on 41 respondents working actively on mining projects in Ethiopia. The questionnaires covered the main aspects of risk management, including overall project risk management, risk planning, risk identification, risk analysis, and risk monitoring and controlling practices.
Findings: The study's findings indicated the absence of systematic risk management policy or guidelines and no organized standard risk management processes. Moreover, project managers primarily manage risk with their team's support. It was found that with risk identification, risk analysis, monitoring, and controlling processes, mitigation of project risks could have been conducted more proactively. Instead, risks are managed upon occurrence by relying primarily on the subjective judgment of the mining specialists, often project managers.
Originality/Value: This research assesses the risk management practices of mining companies in Ethiopia for the first time. Recommendations have also been made for companies to develop their risk management knowledge through training and exposure to international practices. This approach will slowly build a systematic approach to risk management practices in the Ethiopian setting. The findings of this article also indicated the need for more research as few papers have been published on mining risks globally, and none have been published in Ethiopiaโs context
Assessing E-Commerce Service Quality: A Hierarchical Evaluation Model for Online Sales Firms
Get PDFPurpose: This study proposes a model for evaluating online stores by consumers using the hierarchical analysis method and fuzzy theory as a multi-criteria decision-making method.
Methodology: The study used the survey method to collect information, which was then analyzed using multi-criteria decision models.
Findings: The results show that user privacy is most important in online shopping. After that, Accessibility has a crucial role in assessing service quality.
Originality/Value: This study provides a model for decision-makers to help them improve key areas in e-commerce service design
Strategies for addressing the shortage of medicines to improve service delivery
Get PDFPurpose: This paper aims to investigate strategies to address the shortage of medicines at Princess Marina Hospital. There is a prevalent shortage of medicines with drastic implications for patients, the community, and the population. Botswana is at a stage whereby issues affecting the unavailability of medicines need to be addressed as a matter of urgency, and the COVID-19 pandemic has made the need more urgent. This study came at an opportune time to address this issue of high priority.
Methodology: The quantitative study design was adopted using a closed-ended questionnaire to collect data from a sample of 41 pharmacy personnel at Princess Marina Hospital.
Findings: The recommended strategies are the rational use of medicines, implementation of an effective pharmacy inventory management system, training pharmacy personnel in supply chain management, increase in collaboration between the Princess Marina Hospital and Central Medical Stores, purchase of extra inventory as a buffer stock, hiring additional pharmaceutical personnel to manage medicines, redistribution of available stock between facilities, and implementation of regulatory flexibility to address the shortage of medicines at the Princess Marina Hospital. These strategies will assist the management of health facilities in addressing the shortage of medicines.
Originality/Value: The strategies for addressing medicines' supply and demand challenges to minimize their negative impacts on service delivery at Princess Marina Hospital are identified