Implementation Strategies Research Articles

Environmental Aspects in ESG Strategies for Mid-sized Enterprises: The Case of HL Group

This study aims to analyze HL groups’ corporate efforts concerning the environmental (E) aspects of ESG (Environmental, Social, Governance) practices and propose future considerations. The analysis examined sustainability reports from 2021 to 2023 for HL groups’ subsidiaries – HL Holdings, HL Mando, HL D&I, and HL Klemove. The study focused on carbon emissions, water usage, waste generation, and energy consumption. Additionally, activities related to biodiversity conservation were examined through keyword analysis, materiality analysis, and adherence to GRI 304 Standards. In terms of carbon emissions, for all companies, Scope 2 emissions were higher than Scope 1 emissions. Therefore, it is necessary to set carbon neutrality goals and implement reduction strategies such as renewable energy development. In terms of water usage, HL D&I Halla transparently disclosed the water usage during the construction process and reduced its water usage by 8% in 2023 compared to 2022. Regarding waste emissions, HL D&I Halla reduced waste by 63% in 2023 compared to the previous year and achieved a 100% recycling rate. For energy usage, it was confirmed that all companies are voluntarily making efforts to reduce their energy consumption. In a comparison with other companies in the mobility industry, HL Mando showed an increase in all factors except for Scope 1 emissions. However, the company is making efforts towards eco-friendly management by establishing an environmental department and setting carbon neutrality goals. In the construction industry, HL D&I Halla showed a decrease in all analyzed factors. In terms of biodiversity conservation, no company selected biodiversity as a significant issue in 2023. Despite HL groups’ efforts in the environmental domain, some companies were found to have insufficient performance in eco-friendly management. Specifically, regarding biodiversity conservation, all four companies need to make more concrete and practical efforts in the future.

Designing intelligent cyber threat detection systems through quantum computing

The ever-changing nature of cyber threats calls for a rapid innovative response that can arrest the situation. Quantum computing offers hope through its highly efficient and complex computing power that can intelligently detect cyber threats in the network systems. This paper examines the adoption of quantum computing into the frameworks for the detection of cyber threats. It also highlights the benefits, methodologies and real-world applications of quantum models. In addition, several quantum algorithms like Grover’s and Shor’s are assessed in terms of their contributions to cybersecurity or defense. This paper also includes methods, materials, comparative analysis, implementation strategies and practical applications in practical situations. Limitations, areas that require future research and the need to develop quantum-safe security mechanisms form the concluding part of this research paper.

Workflow optimization for mobile computing

Mobile workflow optimization has emerged as a critical factor in modern business operations, transforming how organizations manage and execute their processes across distributed environments. This comprehensive article explores the fundamental components, implementation strategies, and future directions of mobile workflow optimization. The article examines cloud integration, artificial intelligence implementation, security frameworks, and technical considerations that drive successful mobile workflow deployments. Through detailed analysis of real-world implementations, the research demonstrates how organizations improve operational efficiency, user satisfaction, and resource utilization while maintaining robust security measures. The investigation encompasses development methodologies, monitoring strategies, and emerging technologies reshaping the mobile workflow landscape, providing insights into best practices and future considerations for organizations pursuing the mobile-first operational strategy.

Why digital transformation in fintech requires mainframe modernization: A cost-benefit analysis

This comprehensive analysis examines the critical role of mainframe modernization in driving digital transformation within the financial services sector. The article explores the current state of legacy systems in financial institutions, evaluating both the challenges and opportunities presented by modernization initiatives. Through detailed cost-benefit analysis, risk assessment, and examination of real-world implementation strategies, this research provides insights into successful transformation approaches. The article includes an in-depth case study of Citibank's modernization journey, highlighting key success factors and lessons learned. Additionally, it addresses future technological trends and market dynamics that will shape the evolution of banking systems, offering strategic guidance for financial institutions undertaking modernization initiatives.

Implementing data lineage frameworks in financial institutions: A systematic analysis of compliance, efficiency, and risk management

This article comprehensively analyzes modern data lineage frameworks within financial institutions, examining their implementation challenges, operational impacts, and regulatory compliance benefits. The article investigates the key components of enterprise-scale data lineage systems, including source integration, transformation architecture, storage mechanisms, and governance structures. The article systematically examines implementation strategies across multiple financial organizations and identifies critical success factors and common impediments in establishing robust data lineage frameworks. The findings demonstrate significant improvements in regulatory compliance efficiency, risk management capabilities, and operational transparency when implementing comprehensive data lineage solutions. The article highlights the importance of integrated governance policies, automated monitoring systems, and scalable architectural designs in achieving successful outcomes. Furthermore, the article reveals that financial institutions implementing structured data lineage frameworks show an enhanced ability to meet evolving regulatory requirements while maintaining operational efficiency. This article contributes to the growing knowledge of data governance in financial services. It provides practical insights for organizations seeking to strengthen their data management capabilities through modern lineage frameworks.

Clinical effectiveness and implementation outcomes of pMDI-to-DPI switch in children between 5 and 12 years of age: a scoping review protocol

IntroductionInhalers are critical in asthma treatment, and inappropriate inhaler use leads to poor asthma outcomes. In adults and adolescents, dry powder inhalers (DPIs) are safe and effective alternatives to mainstay...

Environmental, Social & Governance (ESG) Implementation Strategy in Mining Companies with Design Thinking Method

The mining industry plays an important role in economic development, but its operations often have adverse environmental and social impacts and many companies are only concerned with profit. So it is important to apply ESG (Environmental, Social, Governance) principles to companies to create a sustainable business. This thesis examines the application of ESG in PT. X as a mining company. This research is qualitative research and uses descriptive analysis with the design thinking method. Observations and interviews were conducted at PT. X and using an informant from the management of PT. X. This research also aims to find effective strategies in the implementation of ESG in strengthening business sustainability in PT. X by using indicators from the ESG Reporting Guide that uses the Global Reporting Standard (GRI) in the mining sector. Based on the results of the analysis, it was found that the implementation of ESG in PT. X has achieved a percentage of 95% of the GRI Coal standard. There is one indicator that has not been implemented, namely the water and effluent indicators on the environmental aspect. Alternative strategies developed with design thinking methods are in the form of making rainwater catchment ponds, remote control waterfill, and automatic sprayer.

Machine learning the abiotic stressor impacts on nitrogen availability and photo energy use in dryland forage systems under different tillage and green manuring practices

Background and aimSorghum sudangrass (SSG), a vigorous hybrid C4 plant grown as forage or bioenergy crop during the summer has deeply distributed fibrous root system beneficial to dryland agriculture. Despite these advantages, the crop faces challenges from abiotic stressors, particularly during severe drought seasons. Thus, the goal of planting SSG as a forage is to generate ample biomass with minimal inputs, minimize toxicity, identify stress factors, and implement suitable management strategies with negligible environmental impact. This study focused on machine learning the intricate soil–plant-water-atmosphere relationships associated with abiotic stresses and agroenvironmental variables to enhance energy-efficiency and alleviate nitrogen (N) stress.MethodsA long-term simulation study involving SSG with four N treatments (spring-fallow and N fertilization, and three spring-time cover with 100% residue addition as green manures) under no-till (NT) and conventional (CT) tillage systems was unsuccessful to provide distinct effects of N strategies. Machine learning (ML) was employed to determine how abiotic-stress factors were varied, specifically under influence of green manures such as oat (OG), field peas (FP) and grass peas (GP) under conventional and conservation systems.ResultsResults indicated significantly higher use-efficiency of photosynthetically-active radiation (PAR) and the lowest N stress in NT + FP contrasting with the lowest PAR and the highest N-stress in conventional system. ML Regression models highlighted significant impact of average daily temperatures on water (R2 of 78%) and N-stress (R2 of 79%). Multi-regression ML models, incorporating various agro-environmental variables identified tillage as the most influential factor during wet seasons, water-stress during normal seasons, and temperature as the predominant factor during drought seasons influencing N stress in SSG forage-system.ConclusionConspicuously, drought exhibited a more pronounced influence from green manuring compared to wet or normal seasons in our study. Thus, farmers should be encouraged to adapt the practice of using cover and green-manures despite the concerns about water reserves for summertime cash crops.

Scale-up of the CRADLE Vital Signs Alert intervention to improve maternity triage in Sierra Leone: a mixed methods evaluation of device repair and maintenance

BackgroundScale-up of the CRADLE intervention, a simple and accurate blood pressure and pulse device and focused training package, across all government maternity care facilities in Sierra Leone was completed in...

Applicability of lean techniques and processes on improving sustainability in construction projects

PurposeThe construction industry is known for its complexity, poor performance and impact on the environment. This study investigates the applicability of lean techniques and processes on improving sustainability in construction projects. A total of ten key lean construction (LC) tools are analyzed for impact on 15 sustainability categories and 78 subcategories. Results are summarized for usability across the three sustainability pillars.Design/methodology/approachA systematic literature review (SLR) of articles published over the last 10 years (2014–2023) on lean and sustainable construction is conducted involving planning, identifying, screening, analyzing and reporting phases. Selected 41 articles are reviewed in detail. For reporting, the applicability of LC tools is critically analyzed and ranked according to impact on sustainability over two project stages.FindingsLiterature suggests that the impact of LC on economic waste reduction or social impact is likely to have an impact on environmental sustainability as well. Overall, the top LC tools for improving sustainability in construction include value stream mapping (VSM), just-in-time (JIT) and 5S. The applicability of the LC tools is more prevalent in the “construction phase” of construction projects than the “planning and design” phase.Originality/valueThis study analyzed ten lean tools through SLR and evaluated their impact on construction sustainability. By assessing the challenges and benefits associated with LC tools, the outcomes of the study support the adoption of LC by stakeholders. The paper also proposed a practical implementation strategy for LC tools to enhance sustainable construction.

Substance Use Classes Among YMSM in an HIV Digital Health Intervention Program: Implications for Acceptability, Engagement, and Health Outcomes.

Young men who have sex with men (YMSM) have high rates of substance use, which increases their risk for HIV. Digital Health Interventions (DHI) have the potential to address HIV risk overall and reduce harms in the context of substance use. However, there is limited research on how YMSM with different substance use patterns respond to HIV DHIs and how these programs impact participant outcomes. In this study, we used latent class analysis (LCA) to identify subgroups of participants with specific substance use behaviors in the Keep It Up! (KIU! ) program, an HIV DHI with prior documented effectiveness. This study involved 2,124 participants in a Type III Hybrid trial, comparing two implementation strategies: one via 22 community-based organizations and another through direct-to-consumer recruitment. Evaluations were done at baseline and 12-week follow-up. This analysis identified four classes of substance use: Low Use (minimal alcohol risks, low illicit drug use, infrequent marijuana), Heavy Use (highest alcohol problems, frequent marijuana, elevated illicit drug use), Alcohol and Marijuana Use (high alcohol problems, frequent marijuana), and Methamphetamine and GBH Use (low alcohol risk, moderate marijuana frequency, high illicit drug use). Participants in the Meth & GHB User class were more likely to have an STI at baseline compared to those in the Low User class. Moreover, Heavy Use, Alcohol & Marijuana Use, and Meth & GHB Use reported a greater number of condomless anal sex partners compared to Low Use. Additionally, although Alcohol & Marijuana Use were more likely to use PrEP at the time of their most recent casual partner at baseline, they exhibited the smallest increase in PrEP use during follow-up compared to the other substance use classes. Our analysis did not unveil substantial differences in the success of implementation in terms of reach, suggesting that both implementation strategies effectively engaged YMSM with different levels of substance use. Our research showed a similar level of engagement, as evidenced by the completion rates of modules and time spent, across all substance use classes. However, those within the Meth & GHB category found the intervention highly acceptable, but less so compared to Low Use and Alcohol & Marijuana Use. Understanding how distinct substance use profiles influence intervention outcomes and exploring varied implementation methods can augment future prevention endeavors, broadening the scope and impact of public health initiatives.

Facilitators and barriers in the implementation of patient-centred care interventions among general practitioners: a systematic review protocol

BackgroundChallenges in the patient–provider relationship are prevalent, underscoring the importance of patient-centred care, which is respectful and responsive to patients’ needs. General practitioners (GPs), also known as family doctors, serve as gatekeepers in primary care and are well positioned to deliver this type of care. However, effectively implementing patient-centred care remains a challenge. While behaviour change interventions have been developed to enhance patient-centred care in general practices, a comprehensive understanding of the facilitators and barriers to their implementation is lacking. This review aims to examine contextual factors of implementing interventions for patient-centred care by GPs. Implementation research analyses all aspects of application, including factors influencing it, processes involved and outcomes achieved within different contexts. The review will use the updated Consolidated Framework for Implementation Research (CFIR 2.0) to analyse influential factors and the Behaviour Change Wheel (BCW) to define interventions to promote behaviour change in patient-centred care.MethodsThis systematic literature review will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive search of five databases (Ovid MEDLINE, CINAHL, EMBASE, Cochrane Library and Web of Science) will be conducted to identify barriers and facilitators for implementing interventions in promoting patient-centred care by GPs. The CFIR 2.0 framework will guide the categorization and synthesis of barriers and facilitators, while the BCW will be employed to define the interventions. Two independent reviewers will conduct study screening, data extraction, quality appraisal and data analysis. Any disagreements between the reviewers will be resolved through the involvement of additional reviewers.DiscussionThis protocol outlines a systematic review utilizing an updated framework-based approach to identify and synthesize evidence on barriers and facilitators to implementing behaviour change interventions by GPs. The findings will provide insights into the effectiveness of these interventions in enhancing patient-centred care and will inform future research and clinical practice. This review will identify gaps and challenges in existing studies and propose strategies for the effective implementation of behavior change interventions among GPs. Additionally, it will inform clinical practice by refining behaviour change interventions to enhance the delivery of patient-centred care by GPs.Trial registration: PROSPERO: CRD42023485014.

Which factors influence the transition towards a healthy and sustainable food environment in Dutch hospitals? A qualitative view from stakeholders

BackgroundHospitals fulfill an important exemplary role in promoting health and well-being. It is therefore crucial to have a supportive food environment that stimulates healthy and sustainable food choices of patients, staff, and visitors. This qualitative study aimed to identify factors influencing the implementation of long-lasting actions to enhance the healthiness and sustainability of the food environment in the hospital setting in the Netherlands, from the perspective of different stakeholders.MethodsSemi-structured interviews were conducted in hospitals realizing a healthy and sustainable food environment. Verbatim transcripts were thematically analyzed, guided by the Consolidated Framework for Implementation Research. Data were organized and interpreted per theme as well as stakeholder group.ResultsIn three hospitals, 29 semi-structured interviews were conducted with 30 stakeholders from a wide spectrum of stakeholder groups (i.e., facility professionals, healthcare professionals, project coordinators, and board of directors). Identified themes and subthemes were: 1 the outer setting, with momentum for change, government-established policies and guidelines, collaboration and networks outside the hospital, and caterers’ and suppliers’ food offerings, interests, and contracts; 2 the innovation domain, with familiarity and compliance with the TEH program; 3 support at all levels, achieving organizational buy-in with communication as a strategy, and end user interests; 4 the inner setting, with key priority in policy and having a vision, available resources, infrastructure within the hospital, ambassadors, and gradual process with continuous effort; and 5 the individual domain with personal drive.ConclusionsThe results revealed an interplay of perceived factors that influence the enhancement of a healthy and sustainable food environment and underscored the importance of addressing various facilitators and barriers across multiple domains within and outside the hospital setting. To ensure successful integration of a healthy and sustainable food environment in hospitals, throughout the entire organization it is crucial to engage diverse stakeholders at all levels and address their barriers with tailored implementation strategies. We suggest verification of our findings in more hospitals.

A mixed-methods observational study of strategies for success in implementation science: overcoming emergency departments hurdles

BackgroundHeart failure is a major public health concern, affecting 6.7 million Americans. An estimated 16% of emergency department (ED) patients with acute heart failure (AHF) are discharged home. Our Get with the Guidelines in Emergency Department Patients with Heart Failure (GUIDED-HF) toolkit aims to improve AHF self-care and facilitate safer transitions in care for these patients. We describe implementation barriers and facilitators, and the selection and refinement of implementation strategies, to facilitate future GUIDED-HF implementation.MethodsA mixed-methods cross-sectional observational study was conducted in four United States EDs in two diverse healthcare systems in the Pacific West and Midwest. Data were collected using a survey and interviews with ED providers, nurses, and leaders. The survey assessed the ED context using the context scale of the Organizational Readiness to Change Assessment (ORCA). The Consolidated Framework for Implementation Research informed interviews. Quantitative data were summarized using medians (interquartile ranges) or percentages (frequencies). Wilcoxon rank-sum tests and Kruskal–Wallis tests were used to assess differences in the healthcare system and profession. Qualitative data were analyzed and summarized using rapid qualitative analysis. Convergence of quantitative and qualitative data was used to inform specific refining of implementation strategies to the local context (e.g., who should serve as champions, how best practice alerts should be implemented).ResultsParticipants were predominately white (76%) with median (IQR) age 37.0 (32.0, 41.0). ED leaders/administrators, providers, and nurses comprised 15%, 55%, and 29% of participants, respectively. Sites reported an ORCA context scale score of 3.7 [3.4, 4.0] (scale of 1 = strongly disagree to 5 = strongly agree). Comparison of scores by profession showed a significant difference in the context score among providers (3.9 [3.5, 4.0]), leaders (3.7 [3.5, 4.0]), and nurses (3.6 [3.0, 3.9]) (p = 0.048). Qualitative data indicated implementation barriers (e.g., resource limitations, patient health literacy), facilitators (e.g., GUIDED-HF is patient-centric; site and intervention congruent values, norms, and goals), and site-specific needs due to contextual factors (e.g., education needs, feedback mechanisms, champions).ConclusionsSpecific determinants of implementation exist in ED settings and require the refining of implementation strategies to overcome site-specific barriers and enhance facilitators.Trial registrationn/a.

Teaching Reform and Practice of BIM Modeling Fundamentals Course Integrated with Ideological and Political Education

This paper discusses the implementation strategies and effects of ideological and political education within the professional education framework, focusing on the "BIM Modeling Fundamentals" course. The paper begins by outlining the basic information and background of the teaching reform, followed by a detailed introduction of the specific implementation of ideological and political education in the course, including the setting of teaching objectives, optimization of teaching content, and integration of ideological elements. It highlights the use of BIM technology to enhance students' professional spirit and teamwork capabilities, while infusing core socialist values and concepts of green and sustainable development into practical teaching. By analyzing the effects of the course implementation, this study demonstrates the positive role of ideological and political education in enhancing students' comprehensive qualities and professional skills, providing a robust example and insights for further promotion and implementation of ideological and political education in higher education.

AdvantAGE: Implementation and Evaluation of an Interprofessional Transitional Care Model for Frail Older Adults-Protocol of an Effectiveness-Implementation Hybrid Study.

To implement and evaluate an Advanced Practice Nurse-led transitional care model (AdvantAGE) to reduce rehospitalisation rates in frail older adults discharged from a Swiss geriatric hospital. The study adopts an effectiveness-implementation hybrid design (Type 1) to simultaneously evaluate the effectiveness of the care model and explore the implementation process. The primary outcome, the 90-day rehospitalisation rate, will be evaluated using a matched-cohort design with a prospective intervention group and a retrospective control group. Secondary outcomes include the number of emergency department visits, health-related quality of life and intervention costs. The care model was developed through comprehensive contextual analysis and pilot testing in an iterative approach. It comprises five core elements: continuous support, care coordination, comprehensive health management at home, medication and self-management and advance care planning. Data collection includes both quantitative and qualitative methods, utilising routine hospital data, structured and semi-structured interviews and observations. Qualitative data will provide insights into implementation outcomes, potential barriers and facilitators. Additionally, a process evaluation will offer an in-depth understanding of individual intervention effects and reasons for rehospitalisation. The AdvantAGE project, grounded in implementation science methodology, aims to significantly improve transitional care outcomes for frail older adults. The results are expected to provide essential recommendations for scaling up the model to other settings. The study addresses the issue of frequent rehospitalisations in older adults, which carry risks of functional and cognitive decline. By implementing a comprehensive transitional care model, the study aims to improve continuity of care, reduce readmissions and enable frail older adults to remain in the community longer. The project highlights the importance of contextually adapted intervention and implementation strategies to bridge the gap between research and real-world healthcare practice. The project employs a participatory approach, engaging representatives from the hospital and primary care settings, the cantonal health department and older people and their caregivers. This study has been registered at clinicaltrials.gov on 5 January 2024 (Identifier: NCT06190288).

English-medium instruction (EMI) language policy and implementation in China’s higher education system: growth, challenges, opportunities, solutions, and future directions

ABSTRACT This review explores the English-medium instruction (EMI) language policy and implementation in China’s higher education (HE) system over the last two decades. It traces the rise, promotion, and "turn" of the EMI system. It points out the limitations in EMI language policies and implementation in China's conventional universities. Drawing on a research framework informed primarily by Spolsky (2004) and Liddicoat and Taylor-Leech (2015) along with empirical studies, we highlight the gaps between the national and institutional language policies, stakeholders’ language ideologies, attitudes, management, and practices. These gaps obstruct the dual pedagogical goals of teaching English and academic subjects that ostensibly underpin EMI in conventional universities. More recently, new opportunities for EMI in China's HE have been provided by joint-venture universities. We examine how these joint-venture universities developed different EMI policies and implementation strategies. Thus, we claim that a ‘binary EMI system’ is emerging in China. We conclude with concrete suggestions that stakeholders take to (better) achieve EMI’s pedagogical goals. We also recommend solutions to the current limitations of EMI and suggest directions for future research.

Business Intelligence and Artificial Intelligence for Sustainable Business Operations

In the modern business landscape, sustainability has become a fundamental goal for organizations, driven by growing environmental concerns, social responsibility, and the need for long-term profitability (Bocken et al., 2014). Companies are under increasing pressure to reduce their environmental footprint, optimize resources, and improve operational efficiency, all while maintaining competitiveness. Business Intelligence (BI) and Artificial Intelligence (AI) have emerged as key technologies in this transition, offering organizations the ability to make data-driven decisions that promote sustainability (Chen et al., 2020). BI encompasses tools and techniques that convert raw data into actionable insights, helping businesses optimize operations and minimize waste (Shollo & Galliers, 2016). On the other hand, AI, particularly machine learning and predictive analytics, enhances decision-making by forecasting trends, automating processes, and providing deeper insights into complex datasets (Jeble et al., 2020). This article explores the integration of BI and AI in driving sustainable business operations. It examines their individual contributions and the synergistic benefits they bring when combined. Key applications discussed include energy management, where BI helps track energy consumption patterns, and AI optimizes resource allocation to minimize waste (Kemp et al., 2021). In supply chain optimization, BI analyzes supplier performance and inventory levels, while AI forecasts demand and automates processes to reduce carbon footprints (Saghafian et al., 2020). Waste reduction efforts are enhanced through predictive analytics, which help anticipate production needs and reduce excess output (Karim et al., 2021). Environmental monitoring, powered by AI and IoT sensors, allows for real-time analysis of environmental conditions, ensuring compliance with sustainability standards (Khan et al., 2021). However, the implementation of these technologies also presents challenges. Data integration remains a significant barrier, as companies often face difficulties in harmonizing large datasets from disparate sources (Laudon & Laudon, 2019). The initial investment in BI and AI technologies can be high, making it difficult for small and medium-sized enterprises (SMEs) to adopt these solutions (Zhang et al., 2020). Additionally, a shortage of skilled professionals in data science and AI poses another challenge, limiting the effective use of these technologies (Brynjolfsson & McAfee, 2014). Despite these challenges, the potential of BI and AI to foster sustainable business operations is substantial, and overcoming these barriers will be key to unlocking their full potential. The article concludes by discussing strategies for successful implementation and the future outlook for BI and AI in sustainable business practices.

A Pedagogical Proposal for Enhancing Undergraduate Biology Education through Complex Systems Thinking (CST)

This article is centered around the key question: how do we address teaching about biology, based on complex systems? In the dynamic landscape of biological sciences, the exploration of life's intricacies demands a holistic and interconnected approach. Complexity science and systems thinking offer a transformative framework for understanding the dynamic and interconnected nature of biological systems. As educators in the field of biology, it is imperative to equip undergraduate students with the tools to navigate and comprehend the ever-growing complexity of living systems. Traditional reductionist views, while valuable in understanding specific components of biological phenomena, often fall short in capturing the intricate interconnections and emergent properties that characterize living systems. In the pursuit of understanding these complexities, undergraduate biology education must transcend traditional reductionistic silos and embrace holistic interdisciplinary approaches such as complexity science and systems thinking. This article delves into the integration of Complex Systems Thinking (CST) in undergraduate biology courses, highlighting its significance, pedagogical implication, and practical strategies for implementation. Furthermore, it describes the key characteristics, and proposes a few pedagogical concepts associated with complexity, emergence, and systems thinking. The primary goal is to provide biology educators with the tools and enough basic information about the ‘features of complexity’, utilized in Big History, so that they can consider why and how such an approach might be applied in the education of both biologists and a scientifically literate citizenry.

Understanding the Dynamics of e-WOM in Food Delivery Services: A SmartPLS Analysis of Consumer Acceptance

The evidence on e-commerce rapidly adopting and expanding has led to a high degree of changes in consumer behavior, with food delivery platforms playing a pivotal role in the digital economy. The current study highlights the interplay between consumer perception, consumer acceptance, and electronic word of mouth (e-WOM) assessed in the context of the food delivery chain. By integrating latent variables, such as trust, consumer purchase intentions, perceived usefulness, and psychological distance, the current study explores the role of e-WOM in influencing consumer perception and acceptance within the food delivery services. Data collection and analysis implied a qualitative approach by issuing an online survey and gathering 835 valid responses, further quantitatively assessed through structural equation modelling. The data reveal the validity of the two general hypotheses, according to which consumer acceptance is positively connected to consumer perception, to which the influence of electronic word of mouth was added. The current study stresses the importance for food delivery chains to gain insight and implement strategies based on its electronic peers’ online suggestions and recommendations. The current research actively contributes to the theoretical discourse on food delivery chain management related to the electronic consumers’ experience, in order to competitively position it on electronic markets as well as the food delivery global industry.