Adoption Issues Research Articles

Uncovering effects of supply chain distance on sustainability adoption: empirical evidence from a multi-stakeholder partnership

Purpose To investigate the effects of supply chain (SC) distance on sustainability adoption, this study aims to advance the way prior studies on SC sustainability presume that SC structures are well-developed and stable. Since SC members face structural voids in different regions, we recognize that the information flow is impacted as SC partners often have limited knowledge of their direct partners. Thus, by studying a multi-stakeholder partnership, this article sheds light on the institutional foundation of sustainability adoption issues largely neglected to date. Design/methodology/approach A qualitative case study was used with members of an MSP (i.e. a roundtable), to understand the beef SC located in Brazil. Overall, 18 h of interview recordings and notes from 18 h of meeting observations were gathered, equaling 36 h of primary data. Findings Four dimensions of SC distance (physical, organizational, cultural and institutional) were identified, generating three driving effects on symbolic sustainability adoption and, consequently, a degree of invisibility for beef SC members. The results explain the process of sustainability adoption and highlight that smaller and more upstream suppliers show lower degrees of substantive adoption of SC sustainability practices. Originality/value This study investigates how SC distance affects the alignment of SC members in terms of sustainability adoption. By providing reflections on how institutional distance can hinder suppliers from adopting sustainability requirements they received from the SC, this research contributes to shifting from sustainability discourse to real practice and proactive partner engagement.

Enhancing Clinicians' Use of Electronic Patient-Reported Outcome Measures in Outpatient Care: Mixed Methods Study.

Despite the increasing use of patient-reported outcome measures (PROMs) for collecting self-reported data among hospital outpatients, clinicians' use of these data remains suboptimal. Insight into this issue and strategies to enhance the use of PROMs are critical but limited. This study aimed to examine clinicians' use of PROM data for value-based outpatient consultations and identify efforts to enhance their use of PROMs in a Dutch university hospital. First, we aimed to investigate clinicians' use of outpatients' PROM data in 2023, focusing on adoption, implementation, and maintenance. Second, we aimed to develop insights into the organizational-level strategies implemented to enhance clinicians' use of PROM data from 2020 to 2023. This included understanding the underlying rationales for these strategies and identifying strategies that appeared to be missing to address barriers or leverage facilitators. Third, we aimed to explore the key factors driving and constraining clinicians' use of PROMs in 2023. We integrated data from 4 sources: 1-year performance data on clinicians' use of PROMs (n=70 subdepartments), internal hospital documents from a central support team (n=56), a survey among clinicians (n=47), and interviews with individuals contributing to the organizational-level implementation of PROMs (n=20). The Reach, Effectiveness, Adoption, Implementation, and Maintenance framework was used to analyze clinicians' adoption, implementation, and maintenance of PROMs. Strategies were analyzed using the Expert Recommendations for Implementing Change taxonomy, and results were structured around the constructs of capability, opportunity, and motivation. On average, around 2023, clinicians accessed PROM data for approximately 3 of 20 (14%) patients during their outpatient consultation, despite numerous strategies to improve this practice. We identified issues in adoption, implementation, and maintenance. The hospital's strategies, shaped organically and pragmatically, were related to 27 (37%) out of 73 Expert Recommendations for Implementing Change strategies. These strategies focused on enhancing clinicians' capability, opportunity, and motivation. We found shortcomings in the quality of execution and completeness of strategies in relation to addressing all barriers and leveraging facilitators. We identified variations in the factors influencing the use of PROMs among frequent PROM users, occasional users, and nonusers. Challenges to effective facilitation were apparent, with certain desired strategies being unfeasible or impeded. Enhancing clinicians' use of PROMs has remained challenging despite various strategies aimed at improving their capability, opportunity, and motivation. The use of PROMs may require more substantial changes than initially expected, necessitating a shift in clinicians' professional attitudes and practices. Hospitals can facilitate rather than manage clinicians' genuine use of PROMs. They must prioritize efforts to engage clinicians with PROMs for value-based outpatient care. Specific attention to their professionalization may be warranted. Tailored strategies, designed to address within-group differences in clinicians' needs and motivation, hold promise for future efforts.

Leveraging Chatbots to Combat Health Misinformation for Older Adults: Participatory Design Study.

Older adults, a population particularly susceptible to misinformation, may experience attempts at health-related scams or defrauding, and they may unknowingly spread misinformation. Previous research has investigated managing misinformation through media literacy education or supporting users by fact-checking information and cautioning for potential misinformation content, yet studies focusing on older adults are limited. Chatbots have the potential to educate and support older adults in misinformation management. However, many studies focusing on designing technology for older adults use the needs-based approach and consider aging as a deficit, leading to issues in technology adoption. Instead, we adopted the asset-based approach, inviting older adults to be active collaborators in envisioning how intelligent technologies can enhance their misinformation management practices. This study aims to understand how older adults may use chatbots' capabilities for misinformation management. We conducted 5 participatory design workshops with a total of 17 older adult participants to ideate ways in which chatbots can help them manage misinformation. The workshops included 3 stages: developing scenarios reflecting older adults' encounters with misinformation in their lives, understanding existing chatbot platforms, and envisioning how chatbots can help intervene in the scenarios from stage 1. We found that issues with older adults' misinformation management arose more from interpersonal relationships than individuals' ability to detect misinformation in pieces of information. This finding underscored the importance of chatbots to act as mediators that facilitate communication and help resolve conflict. In addition, participants emphasized the importance of autonomy. They desired chatbots to teach them to navigate the information landscape and come to conclusions about misinformation on their own. Finally, we found that older adults' distrust in IT companies and governments' ability to regulate the IT industry affected their trust in chatbots. Thus, chatbot designers should consider using well-trusted sources and practicing transparency to increase older adults' trust in the chatbot-based tools. Overall, our results highlight the need for chatbot-based misinformation tools to go beyond fact checking. This study provides insights for how chatbots can be designed as part of technological systems for misinformation management among older adults. Our study underscores the importance of inviting older adults to be active co-designers of chatbot-based interventions.

Impact of heterogenous capabilities on export performance amid the digital transformation

We investigate the effects of adopting digital technology on export performance of Korean manufacturing firms amidst the digital transformation. We recognize firm-level capabilities should be closely associated with adoption of rapidly progressing digital technology but also with export performance. And our data indicates that the most common purpose of digital technology adoption is to launch new products to the market. Hence, we consider that technology adoption is a strategic and purposeful decision to gain competitive edge mostly by producing new product, and treating technology adoption exogenous can be misleading. Due to the endogeneity and selection issues in technology adoption, the endogenous switching regression is applied to this study as Coad et al. (2020). On technology adoption decision, we find external innovative resources from strategic alliance in addition to internal innovative capabilities stand out. Given technology adoption decision, internal capabilities like patent rights and international affiliation are complementary factors to export growth. The treatment effect analysis has implications as follows: the result on contribution of technology adoption to export growth for actually adopting firms is rather small, and shows heterogenous innovation, organizational, and external capabilities are still critical factors as much as new products embedding high-end digital technology; the result on non-adopting firms indicates potential of advanced digital technology to improve export performance by helping to produce such new products if they were actually capable to do it. In sum, our findings provide another evidence that structurally positive interaction between innovative activities and export performance as Aw et al. (2011), since adoption of digital technology to products itself is innovative in the digital transformation. Furthermore, the result is consistent with the capability theory in that heterogenous innovative and complementary capabilities determine strategic technology adoption and export performance simultaneously. Finally, our findings indicate that the digital transformation might be still at the early stage. The fact that Korean firms have adopted advanced digital technology mainly for new products can be interpreted as an indicator of early development stage of transformation, since firms concentrate on product innovation than process innovation to gain competitive edge at the early stage (Utterback and Abernathy, 1975). Thus, we expect that further evolution of digital transformation can facilitate process innovation, then contribute to firm performance by improving cost efficiency that should be tackled in the upcoming study.

Development of Lung Cancer Risk Prediction Machine Learning Models for Equitable Learning Health System: Retrospective Study.

A significant proportion of young at-risk patients and nonsmokers are excluded by the current guidelines for lung cancer (LC) screening, resulting in low-screening adoption. The vision of the US National Academy of Medicine to transform health systems into learning health systems (LHS) holds promise for bringing necessary structural changes to health care, thereby addressing the exclusivity and adoption issues of LC screening. This study aims to realize the LHS vision by designing an equitable, machine learning (ML)-enabled LHS unit for LC screening. It focuses on developing an inclusive and practical LC risk prediction model, suitable for initializing the ML-enabled LHS (ML-LHS) unit. This model aims to empower primary physicians in a clinical research network, linking central hospitals and rural clinics, to routinely deliver risk-based screening for enhancing LC early detection in broader populations. We created a standardized data set of health factors from 1397 patients with LC and 1448 control patients, all aged 30 years and older, including both smokers and nonsmokers, from a hospital's electronic medical record system. Initially, a data-centric ML approach was used to create inclusive ML models for risk prediction from all available health factors. Subsequently, a quantitative distribution of LC health factors was used in feature engineering to refine the models into a more practical model with fewer variables. The initial inclusive 250-variable XGBoost model for LC risk prediction achieved performance metrics of 0.86 recall, 0.90 precision, and 0.89 accuracy. Post feature refinement, a practical 29-variable XGBoost model was developed, displaying performance metrics of 0.80 recall, 0.82 precision, and 0.82 accuracy. This model met the criteria for initializing the ML-LHS unit for risk-based, inclusive LC screening within clinical research networks. This study designed an innovative ML-LHS unit for a clinical research network, aiming to sustainably provide inclusive LC screening to all at-risk populations. It developed an inclusive and practical XGBoost model from hospital electronic medical record data, capable of initializing such an ML-LHS unit for community and rural clinics. The anticipated deployment of this ML-LHS unit is expected to significantly improve LC-screening rates and early detection among broader populations, including those typically overlooked by existing screening guidelines.

A Participatory Model for Cocreating Accessible Rehabilitation Technology for Stroke Survivors: User-Centered Design Approach.

Globally, 1 in 3 people live with health conditions that could be improved with rehabilitation. Ideally, this is provided by trained professionals delivering evidence-based dose, intensity, and content of rehabilitation for optimal recovery. The widely acknowledged inability of global health care providers to deliver recommended levels of rehabilitation creates an opportunity for technological innovation. Design processes that lack close consideration of users' needs and budgets, however, mean that many rehabilitation technologies are neither useful nor used. To address this problem, our multidisciplinary research group have established a cocreation center for rehabilitation technology that places the end user at the center of the innovation process. This study aims to present the participatory cocreation model that has been developed from our center and illustrate the approach with 2 cases studies. The model is built around user participation in an intensive rehabilitation program (2-hour sessions, 2-5 times per week, and 8-week duration), supervised by qualified therapists but delivered exclusively through commercial and prototype technology. This provides participants (chronic stroke survivors with movement and/or speech disability) with a rich experience of rehabilitation technology, enabling them to provide truly informed feedback, as well as creating an observatory for the research team. This process is supported by short-term focus groups for specific product development and a longer-term advisory group to consider broader issues of adoption and translation into everyday health care. Our model has been active for 3 years with 92 (92%) out of 100 participants completing the program. Five new technologies have evolved from the process with further ideas logged for future development. In addition, it has led to a set of cocreated protocols for technology-enriched rehabilitation, including recruitment, outcome measures, and intervention structure, which has allowed us to replicate this approach in an acute hospital ward. Suboptimal rehabilitation limits recovery from health conditions. Technology offers the potential support to increase access to recommended levels of rehabilitation but needs to be designed to suit end users and not just their impairment. Our cocreation model, built around participation in an intensive, technology-based program, has produced new accessible technology and demonstrated the feasibility of our overall approach to providing the rehabilitation that people need, for as long as needed.

Konsep Dasar Sistem Informasi Manajemen

Management Information Systems (MIS) are an important component in modern organizational operations which function to manage, process and disseminate information to support decision making, planning and control. This article discusses the basic concepts of MIS, including its definition, components and functions in an organizational context. MIS consists of hardware, software, data, procedures and human resources that interact to produce relevant and accurate information. The key role of MIS in improving operational efficiency, simplifying business processes, and providing timely reports to managers is explored in depth. In addition, this article also discusses the latest challenges and trends in MIS development, including issues of data security, system integration, and adoption of new technologies. Through a deep understanding of the basic concepts of MIS, organizations can more effectively utilize information technology to achieve their strategic goals.

Why has IPSAS been set as an agenda but not adopted in Myanmar?

IMPACT This article provides evidence regarding the efforts of the government of Myanmar to adopt the International Public Sector Accounting Standards (IPSAS), as well as analysing the interactions among the engaged stakeholders who have participated in Myanmar’s IPSAS agenda-setting and adoption process. The results, which are identified based on multiple streams theory, indicate that the issue of IPSAS adoption reached government agenda status only when all the problem, policy and politics streams were unified (i.e. full coupling). The results of this research explain why governmental inaction or non-decision with regard to public sector accounting reforms occurs and highlight the importance of the presence of a political support in the official adoption of IPSAS.

A moderated mediation model of the relationship between Indian elementary school teachers' autonomy and perceived ease of ICT use

AbstractIn the 21st century, Information and Communication Technology (ICT) is a critical component of innovative teaching and learning. This study looked at the impact of teachers' autonomy on their perceived ease of using ICT and the intricate relationship between the two, involving their self‐efficacy, job satisfaction, and perceived incentives to change. Using a descriptive survey approach, 311 (134 female) Indian elementary school teachers participated in the study and provided self‐reported data. A structural equation model was employed to test the mediating roles of self‐efficacy and job satisfaction, and the moderation of perceived incentives. The results affirmed that teacher autonomy had a direct and moderately positive effect on their perceived ease of ICT use. Self‐efficacy and job satisfaction significantly and partially mediated the indirect relationships between autonomy and ease of ICT use. In the three relationship paths the perceived incentive to change had a significantly positive moderation to catalyze the relationships. Considering Indian elementary school teachers' glaring lack of autonomy, this paper suggests a policy shift involving greater teacher autonomy and the use of incentives for improved efficacy, job satisfaction, and ICT use. The relationship matrix will serve as a reference for researchers and practitioners to gain a deeper understanding of the role of teacher autonomy in addressing the global issue of limited adoption and integration of ICT by school teachers.

Ethical Issues in Artificial Intelligence Adoption in African Higher Education Institutions in Nigeria

Purpose: The aim of the study was to investigate the ethical issues in artificial intelligence adoption in African higher education institutions. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Ethical concerns surrounding the adoption of Artificial Intelligence (AI) in African higher education institutions reveal key findings from recent studies. These include issues of data privacy, transparency in AI algorithms, and ethical implications in decision-making processes. Universities in Africa implementing AI technologies must navigate challenges such as ensuring ethical data handling and maintaining transparency in AI systems. Unique Contribution to Theory, Practice and Policy: Ethical frameworks in AI adoption, critical theory & ethics of care may be used to anchor future studies on the ethical issues in artificial intelligence adoption in African higher education institutions. Embed ethics education into AI courses and training programs across African universities. Equip students, educators, and AI developers with the knowledge and skills to identify, analyze, and address ethical dilemmas associated with AI technologies. Develop and enforce clear, context-specific AI ethics policies and regulatory frameworks at national and institutional levels. These policies should outline guidelines for data management, algorithmic transparency, and ethical review processes.

<여행자> 영화에서 호모 사케르의 의미 연구

This study studies the precious value of life as a human being through the concept of ‘Homo Sacer’, which provides a clue to the fundamental question of life of adoptees, ‘Who are they?’ in connection with the recently revised special law on domestic adoption and the history of adoption. Focus on To this end, this researcher first examines the issue of adoption through the concept of homo sacer, and then analyzes the narrative of director Uni Lecomte's autobiographical film <A Brand New Life> to determine what the film aims for and the weight of life borne by the adoptive party. I want to feel it. We expect that this research will contribute to improving awareness of adoption and promoting social inclusion.

Clinical Validation of Digital Healthcare Solutions: State of the Art, Challenges and Opportunities.

Digital health technologies (DHTs) at the intersection of health, medical informatics, and business aim to enhance patient care through personalised digital approaches. Ensuring the efficacy and reliability of these innovations demands rigorous clinical validation. A PubMed literature review (January 2006 to July 2023) identified 1250 papers, highlighting growing academic interest. A focused narrative review (January 2018 to July 2023) delved into challenges, highlighting issues such as diverse regulatory landscapes, adoption issues in complex healthcare systems, and a plethora of evaluation frameworks lacking pragmatic guidance. Existing frameworks often omit crucial criteria, neglect empirical evidence, and clinical effectiveness is rarely included as a criterion for DHT quality. The paper underscores the urgency of addressing challenges in accreditation, adoption, business models, and integration to safeguard the quality, efficacy, and safety of DHTs. A pivotal illustration of collaborative efforts to address these challenges is exemplified by the Digital Health Validation Center, dedicated to generating clinical evidence of innovative healthcare technologies and facilitating seamless technology transfer. In conclusion, it is necessary to harmonise evaluation approaches and frameworks, improve regulatory clarity, and commit to collaboration to integrate rigorous clinical validation and empirical evidence throughout the DHT life cycle.

Adopted adults’ Motivation, Decision Making, and Experience of Searching for Birth Family: A Systematic Review and Meta-Ethnography of the Qualitative Literature

This paper is the first to systematically review qualitative research on adopted adults’ motivations and experiences of birth family searching. A line of argument synthesis developed four overarching themes: ‘missing pieces’, ‘different and othered’, ‘the circumscribed position in the adoption triad’ and ‘internal and external challenges.’ The main findings illustrated that searching is complex, inherently linked to identity. Also implicated in the process are relational dynamics and internal and external challenges. Practice implications include recommending contact services that provide psychological support for the searching process. Also recommended for mental health practitioners is specialized training in contemporary adoption issues.

Is Healthcare Facing A Silent Epidemic: The Rise Of Cyberattacks?

Undesirable consequences, such as the potential harm due to enhanced reliance on electronic platforms, should not be underestimated regardless of the healthcare industry's spectacular growth and the repeatedly applied digital transformation during the COVID-19 pandemic. Healthcare organizations, storing endless documents with very sensitive patient data, have their allure increased among cyber-crooks. The article underlines the fact that hackers find these deficiencies quite appealing, particularly when looking at the slow and unwilling pace of technology adoption and revamping of old systems. Stringent data protection regulations like the Health Insurance Portability and Accountability Act (HIPAA) are catalyzing, cyber-badey organizations into pursuing healthcare systems as their targets for cyber-crime. Healthcare organizations are weakened by the absence of standardized practices for cybersecurity, adoption issues for interoperability, and deficiency in staff training. The article puts the weight on prevention actions as network patching, employee training, and advanced cyber threat detection technologies are vital to protect patient information and provide the high-security standards that correspond the evolving and sophisticated threats. KEYWORDS: Electronic platforms, Healthcare industry, Data protection regulations, Cyber-crime, COVID-19 pandemic.

Усыновление детей и молодежи в международном публичном и международном частном праве

The article deals with topical issues of adoption of children and youth in international public and private international law. It is noted that nowadays the cases of international adoptions of children and youth are becoming more and more widespread. Such factors of modern reality as forced migration caused by armed conflicts, increase in the number of orphans, as well as the activities of specialized adoption agencies have contributed to the development of the institution of intercountry adoption.

The academic TikTok: Academics’ perceptions and uses of Microsoft Flip as a vlogging platform

Vlogs, asynchronous video blogs where individuals film themselves to share personal experiences, have been widely used in educational settings. This study explores the integration of Microsoft Flip (Flip), a vlogging platform, in higher education, focusing on its use by academics during a 3-year pilot preceding institution-wide adoption. Grounded in Driscoll and Burner’s (2005) constructivist theory, this research involved interviews with 10 academics from an Australian university, examining their experiences, challenges and recommendations for using Flip. The findings reveal that Flip facilitates innovative activity design, promoting user-friendliness, interaction and self-directed learning. However, privacy concerns, technical difficulties and engagement shortfalls were identified consistent with broader educational technology adoption issues. To minimise these challenges, academics suggested setting clear guidelines on how to use Flip to enhance learning and offered suggestions on how to organise the activities effectively. This research offers insights for academics and learning designers considering Flip in the tertiary educational context, highlighting its potential as a tool for enhancing learning experiences. Implications for practice or policy: Implement scaffolded teaching in higher education, emphasising peer interaction, sequential assessments, and clear instructions to boost student learning outcomes. Provide academics with targeted resources and training to effectively integrate vlogs in teaching, addressing technological barriers. Use vlogging for summative assessments to ensure authentic uptake which also mitigates challenges within identity verification and artificial intelligence misuse in higher education.

Об информационном воздействии юридического голосования на правовые отношения

The article analyzes one of the main functions of legal voting, namely the informational function. The author proposed and examined in detail a staged model of informational impact of legal voting on the legal relations that develop on issues of collective adoption of legally significant decisions. It is concluded that this function is one of the most important functions of the considered legal phenomenon, and its practical implementation involves the consecutive passage of four stages. At the same time, the ideal stage model does not assume optional stages, considering each of them as a mandatory one. In practice, the third stage, namely the perception of collectively made legally significant decision, understanding its meaning, by the persons interested in the results of the voting procedure can fail to occur due to objective and subjective factors.

The Path toward Accrual Accounting in the Public Sector from the Perspective of Italian Municipalities

The goal for the coming years set by the European Union to harmonize public sector accounting is to implement a single accrual-based accounting system for all public administrations. Italy is moving towards full adoption of this accounting system for all local authorities by 2026 and can be seen as an example of a country in transition from a modified cash accounting system to a full accrual accounting one. This research makes use of semi-structured interviews with key actors in the accounting departments of municipalities in Emilia-Romagna, one of the most economically developed regions in Italy, to assess whether the current public accounting system is ready to move to full accrual accounting and whether the transition would be considered beneficial for Italian municipalities. The results show that municipalities are still far from the full implementation of accrual accounting, both in terms of the maturity of the system and the usefulness of the information. The research contributes to understanding the level of accountingmaturity in the public sector and helps to identify the main critical issues for the full adoption of accrual accounting, finding new paths to be followed to make its implementation effective. At the international level, this work may be useful for all countries that are changing their accounting systems to understand what measures need to be taken to facilitate the transition to full accrual accounting in the public sector.

Is adoption an environmental threat? Domestication fantasies in Swedish adoption narratives

In 2017 Ghassan Hage published Is Racism an Environmental Threat? The book’s question misleads. For Hage does not seek to show that the former leads to the latter, rather, he elucidates the logics of domination that are common to both. Hage states that ‘generalised domestication’ is the clearest optic through which to see both racism reproducing and revitalising itself and violence towards the environment. This is a way of being in the world that seeks to capture, tame, domesticate and control people and non-humans. It seeks to render others docile and to extract value from them. In so doing it leads to the creation of ‘homely spaces’. Following Hage, this article asks: Is adoption an environmental threat? We reflect on the role of international adoption in fantasies of Swedishness using Hage’s concept of domestication to explore the desire for ‘transracial’ bodies of adoptees in white national space. We argue that the adoptee body plays an important role in domesticating the Swedish nation. It is used to represent national myths of goodness, anti-racism and international solidarity; effectively bringing national projects into the home. This is linked to a broader desire for domestication that encompasses colonialism, slavery and species and environmental domination. While our focus is on Sweden – which has the highest per capita adoption rates in the world – we hope that our scholarship can inform adoption issues elsewhere, as well as contribute to sociological debates around extraction and domination in postcolonial contexts more broadly.

Predicting city branding choices made by Chinese metropolitan cities: examining the impact of geographic context and national plans

PurposeThis paper aims to examine the unique Chinese context by analyzing the city labels (e.g. smart city and eco city) used by Chinese local governments at or above the provincial capital level to represent themselves (adopted city labels) and the developmental pathways they actually pursued (adopted developmental pathways).Design/methodology/approachThe authors compared the city brand choices to those anticipated based on their geographic and economic contexts (predicted city labels and developmental pathways) as well as the directives outlined in national planning documents (imposed city labels and developmental pathways). The authors identified ten main categories of city labels used to designate themselves and establish the frequency of their use based on municipal plan documents, economic and geographic data and national plan documents and policy reports, respectively.FindingsThe authors discovered that both local economic development and geographic factors, as well as top-down administrative influences, significantly impact city branding strategies in the 38 Chinese cities studied. When these models fall short in predicting adopted city labels and pathways, it is often because cities favor a service-oriented reputation over a manufacturing-focused one, and they prefer diverse, multifaceted industrial images to uniform ones.Originality/valueThe originality and value of this paper lie in its contribution to the academic literature on city branding by developing a predictive model for brand development at the municipal level, with explicit attention to the national-local nexus. The paper’s approach differs from existing research in the first cluster of city branding by not addressing issues of stakeholder involvement or adoption and implementation processes. Additionally, the paper’s focus on the political power dynamics at the national level and urban governance details at the municipal level provides a unique perspective on the topic. Overall, this paper provides a valuable contribution to the field of city branding by expanding the understanding of brand development and its impact on the socioeconomic environment.