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The build-up of large-scale COVID-19 testing required an unprecedented effort of coordination within decentralized healthcare systems around the world. The aim of the study was to elucidate the challenges of vertical policy coordination between non-political actors at the national and regional levels regarding this policy issue, using Sweden as our case.

Interviews with key actors at the national and regional levels were analyzed using an adapted version of a conceptualization by Adam et al. (2019), depicting barriers to vertical policy coordination.

Our results show that the main issues in the Swedish context were related to parallel sovereignty and a vagueness regarding responsibilities and mandates as well as complex governmental structures and that this was exacerbated by the unfamiliarity and uncertainty of the policy issue. We conclude that understanding the interaction between the comprehensiveness and complexity of the policy issue and the institutional context is crucial to achieving effective vertical policy coordination.

Many studies have focused on countries’ overall pandemic responses, but in order to improve the outcome of future pandemics, it is also important to learn from more specific response measures.

The purpose of this study is to examine how five different multi-level governance (MLG) models affect place branding (PB) performance in Saudi Arabia.

In hierarchical administrative systems, central governments exert control on PB, influencing its effectiveness. While PB as such is widely studied, the effect of MLG on PB performance in centralized administrative systems remains understudied. The study is approached as a multiple case study of nine cities.

The study reveals that different MLG models indeed affect PB performance differently. Direct access to central leadership and resources boosts branding performance, while privatization promotes flexibility with similarly positive effects. Study findings, furthermore, show that some cities are considered too big to fail. Cities such as Riyadh and Neom are of prime importance and receive plenty of resources and leadership attention, while others are considered peripheral, are under-resourced and branding performance suffers accordingly. Emerging differences in PB performance associated with different MLG models are thus likely to deepen the gap between urban economic winners and losers.

This paper introduces five MLG models based on the actors involved in PB, their interactions and their access to resources. For each model, this paper assesses other factors which may influence the effectiveness of PB as well, such as access to the national leadership and staff capacity. This research thereby adds to the literature by identifying specific factors within MLG models influencing PB performance in hierarchical administrative systems.

Business has a critical part to play in transforming the global economy and society to achieve sustainable development. Many granular sustainability accounting and management tools have been offered. To systematize these piecemeal developments, this paper aims to develop a framework for analysis of the potential role of sustainability management accounting (SMA). The key challenge addressed is how SMA could be extended to support future-oriented, long-term, pro-active management of multiple issues to contribute towards strong sustainable development at the macro-economy level.

This conceptual paper examines SMA within a multi-level, context-action-transformation framework which can move organizations and society towards sustainability. Based on normative stakeholder theory, including concern for mainstreaming marginalized stakeholders, the paper discusses the role of SMA and how it can contribute necessary information to sustainable development of the company and beyond its boundaries.

Guided by a SMA framework linking context, action and transformation and normative stakeholder theory, which considers all stakeholders, the paper shows how the present lack of progress towards macro-level sustainable development can be addressed. This requires a focus on measuring and assessing positive impacts and forward-looking, long-term and proactive management of multiple sustainability issues as typified by the Sustainable Development Goals (SDGs).

The paper distinguishes between two aspects of SMA – a focus on reducing unsustainability and a focus on transformations towards sustainability. It is observed that there is insufficient emphasis on the latter at present if SMA is to provide comprehensive support to achieving the SDGs. A set of supportive tools is presented as a guide to practice and future developments.

The paper considers how SMA can enable and support transformations towards sustainability at the macro- and meso-level. Different transformational challenges and opportunities are discussed. In particular, the need to balance consideration of time, proactivity and multiplicity, as highlighted in the SDGs, is identified as the central way forward for SMA.

This study examines how team-level mediating mechanisms (i.e. team psychological safety and team helping behaviour) facilitate the relationship between employees' ingratiation and performance ratings.

The data were collected from 180 customer service teams working in Pakistan's hospitality industry through multiple sources using a paper and pencil questionnaire.

The multi-level structural equation modelling results showed that team psychological safety and helping behaviour fully mediated the relationship between ingratiation and performance ratings.

The study has offered some implications for theory and practices.

This study showed that ingratiation might be a helpful impression management tool within a team context. Such an influence technique nurtures a psychologically safe climate and encourages peers to help each other perform mutual tasks within the hospitality context.

Emphasizing the increasing role of talent management (TM) as a global phenomenon and a source of sustainable competitive advantage for organizations, this study aims to present a scoping review of empirical literature on TM, examining the transition of TM from a phenomenon-driven to a theory-driven field.

Using a scoping review, this study analyzed 200 empirical studies published between 2010 and 2023 on TM.

The results indicate that TM is extensively studied in nationally operated, large, private, engineering-led organizations in Anglo-Saxon countries. The study highlights the necessity for more empirical studies and statistically robust evidence to establish the effectiveness of TM.

This review intends to provide a vision and direction for future researchers, guiding TM towards becoming a theory-driven field characterized by widely accepted theoretical frameworks and research designs.

The findings of this study may not be generalizable to other types of organizations or cultural contexts, as it primarily focused on large private engineering-led organizations in Anglo-Saxon countries.

This paper offers a comprehensive view of the definitions, contextualization, conceptualization, frameworks, practices, processes and under-explored areas of TM, which are essential for its development as a discipline.

This qualitative study explores how multinational enterprises (MNEs) approach sustainable innovation through the lens of innovation theory and doughnut economics. The study proposes a conceptual framework to evaluate the practices of businesses and the findings illustrate how sustainable innovation occurs within two MNEs. Based on interviews with professionals of two Swedish MNEs, responsible for sustainability, the study examines how sustainable innovations lead to the redesign of core business pillars and transforms the operating market for the MNE. Overall, this study makes a theoretical contribution by formulating an application of Raworth’s (2017) doughnut model to business strategy. It also provides practical insight into the dynamics of sustainable innovation, which aims to inform and inspire further progress in sustainable development by businesses and academia.

Recent advancements in Artificial Intelligence (AI) and, at its core, Machine Learning (ML) offer opportunities for organizations to develop new or enhance existing capabilities. Despite the endless possibilities, organizations face operational challenges in harvesting the value of ML-based capabilities (MLbC), and current research has yet to explicate these challenges and theorize their remedies. To bridge the gap, this study explored the current practices to propose a systematic way of orchestrating MLbC development, which is an extension of ongoing digitalization of organizations.

Data were collected from Finland's Artificial Intelligence Accelerator (FAIA) and complemented by follow-up interviews with experts outside FAIA in Europe, China and the United States over four years. Data were analyzed through open coding, thematic analysis and cross-comparison to develop a comprehensive understanding of the MLbC development process.

The analysis identified the main components of MLbC development, its three phases (development, release and operation) and two major MLbC development challenges: Temporal Complexity and Context Sensitivity. The study then introduced Fostering Temporal Congruence and Cultivating Organizational Meta-learning as strategic practices addressing these challenges.

This study offers a better theoretical explanation for the MLbC development process beyond MLOps (Machine Learning Operations) and its hindrances. It also proposes a practical way to align ML-based applications with business needs while accounting for their structural limitations. Beyond the MLbC context, this study offers a strategic framework that can be adapted for different cases of digital transformation that include automation and augmentation of work.

This conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and becoming of entrepreneurial phenomena in business families and family firms.

Because of the novelty of this research stream, the authors asked 20 scholars in entrepreneurship and family business to reflect on topics, methods and issues that should be addressed to move this field forward.

Authors highlight key challenges and point to new research directions for understanding family entrepreneuring in relation to issues such as agency, processualism and context.

This study offers a compilation of multiple perspectives and leverage recent developments in the fields of entrepreneurship and family business to advance research on family entrepreneuring.

This paper aims to develop a cross-border regional brand management model to help enhance cooperation for developing such localities. It analyzed its applicability in the Brazil–Argentina and Italy–Austria cross-border regions comprising several cities.

A systematic literature review was conducted to obtain a theoretical basis and select elements for creating the cross-border regional brand management (CRBM) model. To apply the model, in-depth interviews were conducted with 19 specialists of different nationalities and distinct expertise on cross-border governance and regional branding. In addition, to validate the proposed model, a focus group was carried out, and specialists were consulted using forms, providing 22 additional opinions.

The results show good managerial practices and gaps that must be overcome to create and manage the brands from the two regions analyzed.

The theoretical contributions consist in extending the literature in place branding by presenting the first CRBM model and the conceptual explanation of each of the model's elements.

The study's practical implications occur through the suggestion of good management practices for the studied localities arising from the applicability of the CRBM model. Furthermore, it is expected that the model developed can be applied in other locations, bringing practical contributions to the management and creation of cross-border regional brands in other countries.

This study presents the first CRBM model and its applicability to two cross-border regions.

The study compares how distinct mechanisms that connect pre-established policy objectives to professionals' practices, and the health policy implementation context influenced different approaches to frontline staff participation. The authors analysed 26 teams in six cities from two Brazilian states, during the last cycle of the National Program for Improving Access and Quality of Primary Care (PMAQ).

About 172 in-depth interviews were conducted with frontliners – community health workers (78), nurses (37), doctors (30) – and managers (27). Interview guides were based on key issues identified in the implementation and pay-for-performance (P4P) literature. Drawing on thematic analysis and synthesis of the literature, three types of participation mechanisms were identified: relational, motivational and incremental learning. They were analysed considering distinct contexts at the local level to understand how they influenced different forms of participation: mere adherence, result-oriented and transformative.

Administrations with stronger institutional organizational structures were able to control work processes and reduce professional discretion. However, sustained participation was more likely where there was greater integration between management and frontline health care teams. Motivation based only on financial incentives could not bring about transformative participation. This depended on the degree of professional's ideational motivation towards primary care. Finally, contexts with unfavourable working conditions tend to demotivate professionals, but incremental learning helps teams cope with these obstacles.

The study overcomes gaps in the literature in relation to PMAQ's implementation process. Overall, the study delves into which/how mechanisms alter frontliners participation in performance-oriented health programs.