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In public management research, the focus in the public value debate has been on public administration organizations’ broader societal outcomes. Public value describes how public administrations form a vital part of the social context in which people develop and grow. However, there has not yet been an analysis of how public administration contributes to happiness in society.

In this study, we empirically analyze the relationship between people’s happiness and the public value of public administration. Our approach is based on a unique Swiss survey dataset comprising 870 individuals.

We find a positive relationship between public administration’s public value and happiness. We also find preliminary evidence with a moderation analysis that the relationship between a value-creating public administration sector and self-reported happiness is stronger for public administration employees.

While correlation studies cannot claim causal explanations and common method bias may additionally limit any research in social science, we took a number of measures to mitigate related problem. We tested our model in two samples and took both several procedural techniques and a survey design minimizing common method bias.

The paper discusses implications for public sector performance measurement for public management and practitioners.

This study calls for a more positive view on the multiple functions public administration performs for society. After an era of critical voices, our study helps reclaim public administration as a positive force for society at large in times of grand challenges, such as climate crisis, demographics and digitization.

This study has highlighted the importance between public administration’s public value and happiness in Swiss public service organizations. The study also showed that an employment in the public administration contributes to the happiness of individuals and beyond to society.

This study aims and tries to identify and examine the effect of the entrepreneurs' challenges factors (i.e. financial, governmental, personal, educational social and cultural, infrastructural, operational, ethical, and Covid-19) on entrepreneurs' business performance in Jordan country as an emerging economy. Further, try to clarify and identify the main critical factors that affect an entrepreneur's business performance.

A quantitative methodology was used by conducting web-based survey questionnaires with 178 useful responses out of 443 entrepreneurs listed in the Chamber of the industry of Jordan, representing a 40.2% response rate. Data were analyzed by using Statistical Package for the Social Sciences (SPSS) Sofware.

The results of this study confirmed the existence of an inverse relationship between entrepreneurs' challenges and entrepreneurs' business performance. The Covid-19 challenges and governmental challenges were found to be the most affecting on entrepreneurs' business performance, whereby the personal challenges had no impact on entrepreneurs' business performance.

The study provides a clear classification of entrepreneurs' challenges, which can be useful for both researchers and entrepreneurs.

This study developed some recommendations that emphasized the government's role in promoting entrepreneurship and supporting entrepreneurs.

This study attempts to define and clarify the impact of entrepreneurs' challenges on their business performance. In addition, this study can be used to promote entrepreneurship and an innovation-stimulating environment through decision-makers.

Artificial intelligence (AI) has received much attention due to its promethean-like powers to transform the management and delivery of public sector services. Due to the proliferation of research articles in this context, research to date is fragmented into research streams based on different types of AI technologies or a specific government function of the public sector (e.g. health, education). The purpose of this study is to synthesize this literature, identify challenges and opportunities, and offer a research agenda that guides future inquiry.

This paper aggregates this fragmented body of knowledge by conducting a systematic literature review of AI research in public sector organisations in the Chartered Association of Business Schools (CABS)-ranked journals between 2012 and 2023.

The search strategy resulted in the retrieval of 2,870 papers, of which 61 were identified as primary papers relevant to this research. These primary papers are mapped to the ten classifications of the functions of government as classified by the Organisation for Economic Co-operation and Development (OECD), and the reported challenges and benefits aggregated.

This study advances knowledge by providing a state-of-the-art of AI research based the OECD classifications of government functions, reporting of claimed benefits and challenges and providing a research agenda for future research.

This study aims to explore the management learning during a long-term crisis like a pandemic. The paper addresses both what health-care managers have learnt during the COVID-19 pandemic and how the management learning is characterized.

The paper is based on a qualitative case study carried out during the COVID-19 pandemic at two different public hospitals in Sweden. The study, conducted with semi-structured interviews, applies a combination of within-case analysis and cross-case comparison. The data were analyzed using thematic deductive analysis with the themes, i.e. sensemaking, decision-making and meaning-making.

The COVID-19 pandemic was characterized by uncertainty and a need for continuous learning among the managers at the case hospitals. The learning process that arose was circular in nature, wherein trust played a crucial role in facilitating the flow of information and enabling the managers to get a good sense of the situation. This, in turn, allowed the managers to make decisions meaningful for the organization, which improved the trust for the managers. This circular process was iterated with higher frequency than usual and was a prerequisite for the managers’ learning. The practical implications are that a combined management with hierarchical and distributed management that uses the normal decision routes seems to be the most successful management method in a prolonged crisis as a pandemic.

The gained knowledge can benefit hospital organizations, be used in crisis education and to develop regional contingency plans for pandemics.

This study has explored learning during the COVID-19 pandemic and found a circular process, “the management learning wheel,” which supports management learning in prolonged crises.

The article explores which configurations of organizational and individual conditions support the purposeful use of performance information in the public sector. Prior research has predominantly focused on the effects of individual factors without paying as much attention to how these factors interact to influence public managers’ attitudes to integrating performance information into their decision-making.

The study employs a fuzzy-set qualitative comparative analysis (fs-QCA) to examine the different combinations of organizational and individual drivers that facilitate purposeful performance information use.

Goal clarity is a necessary but insufficient condition for purposeful information use. It needs to be complemented by a mature performance management system, public managers with prosocial motivation who engage in extra-role behaviours within a non-innovative organizational culture, or a developmental culture that motivates managers who are unaware of the social impact generated by their work.

The case selection does not allow for direct generalizations. Future studies could replicate the configurational analysis in different countries and sectors and introduce additional environmental, organizational, and individual conditions.

The study suggests the need to integrate actions that support the purposeful use of performance information and define clear departmental goals. Although the latter is a necessary condition, it needs to be supported by other organizational and individual factors.

The study deepens the theory of the drivers of purposeful performance information use in the public sector by adopting a configurational approach and exploring how organizational and individual conditions interact to foster information use.

The research aims to provide a longitudinal case study to understand how digital transformation can be embedded in municipal reporting frameworks. The central role of such technology becomes increasingly evident as citizens demand greater transparency and engagement between them and governing institutions.

Utilising a longitudinal case study methodology, the research focusses on Turin’s Integrated Popular Financial Report (IPFR) as a lens through which to evaluate the broader implications of digital transformation on governmental transparency and operational efficiency.

Digital tools, notably sentiment analysis, offer promising avenues for enhancing governmental efficacy and citizenry participation. However, persistent challenges highlight the inadequacy of traditional, inflexible reporting structures to cater to dynamic informational demands.

Embracing digital tools is an imperative for contemporary public administrators, promoting streamlined communication and dismantling bureaucratic obstructions, all while catering to the evolving demands of an informed citizenry.

Different from previous studies that primarily emphasised technology’s role within budgeting, this research uniquely positions itself by spotlighting the transformative implications of digital tools during the reporting phase. It champions the profound value of fostering bottom-up dialogues, heralding a paradigmatic shift towards co-creative public management dynamics.

As part of a national plan to govern professional and organizational development in Norwegian specialist healthcare, the country’s hospital clinics are tasked with constructing development plans. Using the development plan as a case, the paper analyzes how managers navigate and legitimize the planning process among central actors and deals with the contingency of decisions in such strategy work.

This study applies a qualitative research design using a case study method. The material consists of public documents, observations and single interviews, covering the process of constructing a development plan at the clinical level.

The findings suggest that the development plan was shaped through a multilevel translation process consisting of different contending rationalities. At the clinical level, the management had difficulties in legitimizing the process. The underlying tension between top-down and bottom-up steering challenged involvement and made it difficult to manage the contingency of decisions.

The findings are relevant to public sector managers working on strategy documents and policymakers identifying challenges that might hinder the fulfillment of political intentions.

This paper draws on a case from Norway; however, the findings are of general interest. The study contributes to the academic discussion on how to consider both the health authorities’ perspective and the organizational perspective to understand the manager’s role in handling the contingency of decisions and managing paradoxes in the decision-making process.

This study investigates the relationships between data governance (DG), business analytics capabilities (BAC), and decision-making performance (DMP), with a focus on the mediating effects of big data literacy (BDL) and data analytics competency (DAC).

The study was conducted with 178 experienced managers in public service organizations, using a quantitative approach. Structural equation modeling (SEM) and mediation tests were employed to analyze the data.

The findings reveal that DG and BDL are critical antecedents for developing analytical capabilities. Big data literacy mediates the relationship between DG and BAC, while BAC mediates the relationship between DG and DMP. Furthermore, DAC mediates the relationship between BA capabilities and DMP, explaining most of the effect of BAC on DMP.

These results highlight the importance of DG in fostering BDL and analytical skills for improved decision-making in organizations.

By prioritizing DG practices that promote BDL and analytical capabilities, organizations can leverage business analytics to enhance decision-making.

This article examines the strategy formation in the Finnish government’s pandemic management during the COVID-19 pandemic, addressing a research gap by exploring the possibilities for strategy formation in guiding government policy formation.

Utilizing perspective of strategic planning and emergent strategies influenced by the authorizing environment, the article emphasizes the importance of strategy development in government. The management of COVID-19 pandemic serves as a case study for investigating public strategies in policy formation, underscoring the significance of the authorizing environment in integrating predefined strategic plans with emergent strategic avenues.

The management of pandemics has led to changes in legislation and modes of government decision-making, resulting in learnings for coordinating subnational governments and allocation of resources. The government actions evolved from extracting components from predefined strategic plans and drawing on the experiences of other countries. The emergent properties emerged from amalgamating these elements into an umbrella strategy with a variety of new responses.

The examination focuses on the view from the nexus of government. Although, informed by the subnational developments and stakeholder responses, the study adopts a bird’s eye view on the COVID-19 management.

The examination raises needs for legislative changes, improvement of cross-sectoral coordination within central government and improvement for the decision-making capability within subnational government.

By focusing on the Finnish government’s measures in pandemic management, this article contributes to the discourse on pandemic management. The findings provide insights for strategic crisis management in the public sector.

This article investigates different terms and concepts of paradox dimensions in Public Administration because these terms are often used interchangeably. The aim is to reveal the theoretically based macro-level concepts and establish a common ground for a shared dialogue about managing paradoxes in the field.

This article uses a complementary review approach. First, a systematic literature review is executed to identify the macro-level paradox concepts and to capture their theoretical common ground. Second, the problematizing literature review aims to reflect Public Administration literature with literature from outside the field, mainly from Organization Studies and General Management.

For the most part, the macro-level paradox concepts in Public Administration are used to illustrate the context or situation of another research topic, rather than as standalone theories to be conceptually or empirically explored. In 63 out of 589 articles, we found a theoretical definition of the mentioned macro-level paradox concept. This definition refers mainly to the sources of paradoxical situations and focuses less on the decisions and reactions thereto. Based on the review findings, an analytical model for the management of paradoxical situations in the public sector is provided and applied, followed by recommendations for further research.

This article aims to combine the macro-level paradox concepts in Public Administration with the insights of Paradox Theory and reveals that paradoxes could be a core topic in the field. Scholars in Public Administration could approach paradoxical situations from their own perspective while simultaneously strengthening the field’s identity by encouraging multiperspectivity.