Journal of Resource Management and Decision Engineering

This study aims to explore the role of digital transformation in achieving the United Nations' Sustainable Development Goals (SDGs) by identifying key opportunities, challenges, and the impact of digital technologies on global sustainability efforts. A qualitative research design was employed, utilizing semi-structured interviews to collect data from 22 participants with expertise in digital transformation and sustainability. The participants were selected through purposive sampling and were engaged in online interviews. The data were analyzed using NVivo software for thematic analysis, with theoretical saturation reached to ensure comprehensive data collection. The study revealed that digital transformation significantly contributes to the achievement of the SDGs by enhancing access to essential services, fostering technological innovation, and improving decision-making. Key findings highlighted the importance of digital infrastructure, technological innovations like AI and IoT, and the alignment of policies with sustainable development goals. However, the study also identified challenges, including the digital divide, regulatory barriers, data privacy concerns, and the need for digital literacy to ensure inclusive and equitable access to digital tools. Digital transformation holds immense potential to drive progress toward the SDGs. However, addressing barriers such as infrastructure gaps, outdated regulatory frameworks, and digital literacy is critical for ensuring the successful integration of digital technologies into sustainability efforts. A collaborative, multi-stakeholder approach is essential to harness the full potential of digital transformation for global sustainability.

This study aims to investigate the role of organizational culture as a catalyst for digital transformation, focusing on how cultural factors influence the success of digital initiatives. A qualitative research design was employed, involving semi-structured interviews with 23 professionals from diverse industries, including technology, healthcare, education, manufacturing, and finance. Participants were selected using purposive sampling to ensure relevance to the study objectives. Interviews were conducted online, transcribed verbatim, and analyzed using thematic analysis with the assistance of NVivo software. Data collection continued until theoretical saturation was achieved, ensuring a comprehensive exploration of the topic. Three main themes emerged from the analysis: leadership and organizational culture, technology and digital readiness, and employee and team dynamics. Subthemes included leadership styles, communication, resistance to change, digital literacy, resource availability, and psychological safety. The findings highlight that a culture of adaptability, collaboration, and innovation fosters successful digital transformation. Leadership emerged as a critical factor, with visionary leaders who model digital behaviors and support innovation driving transformation. Resistance to change and insufficient digital literacy were identified as significant barriers, while transparent communication and employee engagement were seen as key enablers. Organizational culture plays a pivotal role in shaping the trajectory of digital transformation initiatives. Leadership, communication, and a supportive cultural framework are essential for overcoming resistance and fostering employee engagement. Organizations must prioritize cultural alignment and invest in building digital competencies to successfully navigate the complexities of digital transformation.

This study aims to explore the impact of digital transformation on employee engagement and identify strategies that organizations can implement to enhance engagement in the digital age. A qualitative research design was employed, involving semi-structured interviews with 29 participants from diverse industries. Participants were selected through purposive sampling, ensuring a mix of professional roles and experiences in digital environments. Data collection occurred online, and interviews were transcribed and analyzed using NVivo software. Thematic analysis was conducted to identify key themes related to the effects of digital transformation on employee engagement, as well as strategies for fostering engagement in digitally evolving workplaces. The findings revealed three primary themes: (1) Digital Transformation Impact, including enhanced communication, increased work flexibility, technological challenges, redefined leadership, and employee autonomy; (2) Strategies for Engagement, such as personalization of work, fostering collaboration, recognition and rewards, building trust, promoting continuous learning, health and well-being support, and feedback mechanisms; and (3) Employee Perceptions and Experiences, focusing on engagement drivers, barriers, cultural adaptation, and emotional responses. Participants highlighted both positive and negative aspects of digital transformation, with flexibility and communication tools being key drivers of engagement, while technostress and work-life balance challenges presented barriers. Digital transformation presents both opportunities and challenges for employee engagement. While technologies can enhance communication, autonomy, and flexibility, they also introduce challenges such as digital fatigue and the blurring of work-life boundaries. Organizations must develop strategies to address these challenges, including promoting digital literacy, fostering a supportive leadership culture, and implementing work-life balance policies to maintain high levels of employee engagement in the digital era.

The objective of this study is to explore the frameworks that enable seamless digital transformation (DT) in modern organizations, identifying the key factors that contribute to successful transformation efforts. A qualitative research design was employed, using semi-structured interviews to collect data from 22 participants, including IT managers, organizational leaders, and digital transformation consultants. The participants were selected through purposive sampling, ensuring they had relevant experience in DT initiatives. Data were analyzed using thematic analysis with NVivo software to identify key themes and insights related to leadership, culture, technological infrastructure, and external environmental factors. The study revealed four main themes that contribute to seamless digital transformation: leadership and governance, organizational culture, technological infrastructure, and the external environment. Key subthemes included strategic vision, change management, employee engagement, adaptability, and cybersecurity. Leadership was found to be critical in driving transformation through clear vision and data-driven decision-making, while organizational culture played a pivotal role in fostering innovation and managing resistance to change. Technological infrastructure, including scalability and data integration, was essential for successful DT, and external factors, such as market trends and regulatory compliance, also influenced transformation strategies. The findings highlight that successful digital transformation requires an integrated approach involving strong leadership, an adaptive organizational culture, robust technological infrastructure, and alignment with external market dynamics. These frameworks provide valuable insights for organizations seeking to navigate the complexities of digital transformation, offering practical strategies for overcoming common challenges.

This study investigates decision-making strategies in the allocation of educational resources, aiming to explore the diverse factors and criteria influencing resource allocation processes within educational institutions. By examining stakeholder involvement, criteria for allocation, types of resources allocated, and outcomes and impacts, the objective is to provide insights into effective resource management strategies that enhance educational quality and equity. A qualitative research approach was employed, utilizing semi-structured interviews with 17 participants directly involved in educational resource allocation. Theoretical saturation was achieved through in-depth analysis of interview data using NVivo software, identifying recurring themes and patterns related to decision-making strategies. Four main themes emerged from the data analysis: Stakeholder Involvement, Criteria for Allocation, Resource Types, and Outcomes and Impacts. Stakeholder Involvement highlighted the importance of community participation, administrative input, teacher feedback, student needs, and parental involvement in decision-making processes. Criteria for Allocation encompassed academic performance, equity considerations, funding availability, policy compliance, urgency of needs, long-term benefits, and short-term gains. Resource Types included financial, human, technological, physical, and informational resources, illustrating the multifaceted nature of resource allocation in education. Outcomes and Impacts focused on academic achievement, student well-being, teacher satisfaction, resource utilization efficiency, equity and inclusion, and sustainability of resources, emphasizing the broader implications of resource allocation decisions. The study underscores the complexity of decision-making in educational resource allocation and advocates for inclusive, transparent, and strategic approaches. By integrating diverse stakeholder perspectives and employing rigorous decision-making frameworks, educational institutions can optimize resource allocation to maximize educational outcomes and promote sustainability. Future research and practice should further explore the dynamic interplay of factors influencing resource allocation in different educational contexts to refine strategies for equitable and effective resource management.

This study aims to explore the decision-making processes of professionals in the renewable energy sector under conditions of uncertainty. Through semi-structured interviews, the research investigates the types of uncertainties encountered, decision-making frameworks utilized, risk management strategies employed, external influences considered, and insights gained from both successful and failed projects. Twenty professionals from diverse roles within the renewable energy sector participated in semi-structured interviews. The interviews were conducted to gather qualitative data on participants' experiences, perspectives, and strategies related to decision-making under uncertainty. Theoretical saturation was achieved through iterative data analysis using NVivo software, focusing on identifying recurring themes and patterns in participants' responses. The study identified five main themes: types of uncertainties (policy, market, technological, environmental, financial), decision-making frameworks (risk assessment, scenario planning, stakeholder consultation, cost-benefit analysis, strategic planning, adaptive management), risk management strategies (diversification, insurance, hedging, collaboration, redundancy), external influences (policy and regulations, economic conditions, technological advances, social and cultural factors, environmental considerations), and success and failure stories. These findings highlight the complexity of decision-making in the renewable energy sector and underscore the importance of adaptive strategies and stakeholder engagement. Professionals in the renewable energy sector face multifaceted uncertainties that require robust decision-making frameworks and proactive risk management strategies. By understanding and effectively navigating these uncertainties, practitioners can enhance project outcomes and contribute to sustainable energy transitions. The study emphasizes the need for continuous adaptation, innovation, and strategic planning to address evolving challenges in the renewable energy landscape.

This study investigates decision engineering in the context of the circular economy, aiming to explore practitioner perspectives on decision-making processes, tools and techniques, and challenges. The objective is to provide insights into how decision engineering can support the transition to a circular economy, enhancing sustainability and resource efficiency. Qualitative research methods were employed, utilizing semi-structured interviews with 22 practitioners involved in circular economy initiatives across various sectors. Purposive sampling ensured a diverse representation of perspectives. Data analysis was conducted using NVivo software to identify key themes and patterns in the practitioners' experiences and insights. The findings reveal several key themes. Decision-making processes include strategic planning, operational decisions, stakeholder engagement, feedback mechanisms, and resource allocation, all crucial for integrating circular economy principles into organizational strategies. Tools and techniques such as data analytics, modeling and simulation, lifecycle assessment, and decision support systems support informed decision-making. However, practitioners face significant challenges, including regulatory constraints, financial limitations, technological barriers, cultural resistance, information gaps, market dynamics, and resource limitations. Effective decision engineering is essential for navigating the complexities of the circular economy, facilitating sustainable practices, and achieving environmental goals. By understanding practitioner perspectives and addressing identified challenges, organizations can develop robust strategies to advance circular economy initiatives. This study underscores the importance of strategic planning, stakeholder engagement, and the use of advanced tools in fostering a circular economy that is resilient and resource-efficient.

This study aims to explore the decision-making processes in resource management within the agriculture sector. By examining the factors influencing these decisions, the strategies employed, the challenges faced, and the role of external influences, this research seeks to provide a comprehensive understanding of how different stakeholders navigate the complexities of resource management. The study employs a qualitative research design, utilizing semi-structured interviews to collect data from 19 participants, including farmers, agricultural managers, and policymakers. Theoretical saturation was achieved to ensure the robustness of the findings. Data were analyzed using NVivo software, which facilitated the organization, coding, and thematic analysis of the interview transcripts. Ethical considerations were adhered to, ensuring informed consent and confidentiality for all participants. The findings highlight several key factors influencing resource management decisions: economic factors such as cost-benefit analysis and access to credit; environmental factors including soil health and water availability; social factors like community support and family involvement; technological factors such as precision farming and data analytics; and regulatory factors including compliance costs and subsidies. Decision strategies identified include effective resource allocation, risk management, sustainability practices, technology adoption, collaborative approaches, and innovation strategies. Challenges such as financial constraints, climate change, market uncertainty, labor shortages, and policy barriers were prominent. External influences like government policies, market trends, technological advances, stakeholder pressure, global trade dynamics, community expectations, and educational outreach also played significant roles. This study underscores the complexity and multifaceted nature of decision-making processes in resource management within the agriculture sector. Effective strategies and adaptive practices are essential to address the challenges and leverage the opportunities in this field. Future research should include larger, more diverse samples and consider the perspectives of various stakeholders. Practical recommendations include supportive regulatory frameworks, risk management strategies, investment in training programs, and community engagement to foster sustainable resource management practices.