Suchergebnisse

Purpose: The purpose of the presented study was to develop a set of recommendations for decision-makers (policymakers and public managers) and public employees to enhance the effectiveness and efficiency of organisational elements in the adoption of artificial intelligence (AI) in public institutions. Design/methodology/approach: Utilising a systematic literature review following the PRISMA protocol, the study examines the organisational enablers of AI adoption in public institutions. Comprehensive search queries in the Scopus database identified relevant literature focusing on the intersection of AI technologies and various organisational elements. The analysis was facilitated by NVivo 12, enabling a structured examination of key organisational facets for people, culture, structure, processes, and technology within public institutions. Findings: Previous studies on AI adoption in public institutions identified numerous enablers of AI adoption associated with organisational elements like people/employees, structure, culture, technology, and processes. Several surveys and case studies stress the importance of concentrating on the introduction or transformation of these organisational elements prior to or concurrently with the adoption of AI. Academic contribution to the field: By applying a systematic literature review protocol, the study represents the first holistic and systematic review of specific organisational elements that can serve as enablers of AI adoption in public institutions. Research limitations/implications: This systematic literature review was subject to several limitations. Firstly, the division of AI literature between natural and social sciences, with the former focusing on technical aspects and the latter on broader organisational themes, may have resulted in an incomplete depiction of the intersection of AI and organisational change. Secondly, despite the broad search queries, inherent limitations of keyword-based searches may have excluded some relevant studies. Thirdly, considering the rapid evolution of AI technology, our review may not fully encapsulate the very latest developments in the field as it covers literature published until May 2023. Finally, the interpretation and coding of literature, despite the use of NVivo 12, involved subjective elements that could affect the study's outcomes. Practical implications: Drawing from experiences in the private sector, public institutions are increasingly adopting AI technologies across various subsectors such as public finance (taxation), research, healthcare, law enforcement, defence, education. This requires a transformation in both hard (structure, processes etc.) and soft aspects (people, organisational culture etc.). Therefore, the enablers identified in the study can serve as guidelines for decision-makers and implementers of AI at all levels of public institutions. Social implications: If adopted effectively and efficiently and used professionally and ethically, the use of AI in public institutions can bring many benefits to society, such as transparency, justice, cost and time efficiency, high quality services, and improved collaboration between different stakeholders in society. Originality/significance/value: Our study makes a distinct contribution by shifting the focus from technological barriers to organisational enablers of AI adoption in public institutions. It bridges a critical gap in the literature by integrating both technical and social science perspectives, providing valuable insights for theory and practice in the fields of organisation and management.

Abstract
Background: The question of work-life balance (WLB) is an area where increasing attention is being paid nowadays. States, organisations and employees all have responsibility and a role to play in WLB. This article presents the important areas of the WLB by key players in this field. Purpose: The purpose of the research was to compare and analyse the differences between the actual situation and the expectations of employers and employees with regard to specific areas of WLB in Slovenia. Methodology: Data was gathered using the Computer Assisted Web Interview (CAWI) method. In the first part of the research project, employers across all sectors of the economy in Slovenia were questioned and in second part focussed on employees. In order to verify the areas in which employers and employees agree and those in which there are differences in perception, multidimensional scaling (MDS) was used. Results: The results of our research show that Slovenian organisations must pay more attention to flexible working time, the employees' ability to take time off to care for family members, time and stress management workshops and paid leave for parents on a child's first day of school. Conclusion: A significant role in WLB is played by organisations. The incorporation of WLB strategies into the strategic and financial planning of an organisation can, in fact, have positive business, economic and social effects. Employees have to express their expectations and needs, which is the only way that employers can be made aware of their problems and help with WLB. State responsibility is to encourage all social partners to shape the living environment in which employees' can achieve a good WLB with an emphasis on gender equality

This study aimed to analyse the impact of digitalisation on good governance with respect to selected local public administrations during the COVID-19 lockdown in the spring of 2020. The overriding assumption made is that agile values mediate the relationship between digitalisation and good governance on this level of public administration. Data were obtained through a web-based survey conducted between June and August 2020. The empirical analysis was facilitated by applying partial least squares structural equation modelling (PLS-SEM) on a sample of 761 public managers from five Central European countries (Czech Republic, Germany, Poland, Romania, Slovenia). The results show that digitalisation acted as an essential driver of good governance during the COVID-19 pandemic. Three out of four agile values—"employees and internal relationships", "working public services", and "change management"—were also shown to help make digitalisation more effective and thereby facilitate good governance. Despite some limitations (e.g., respondents' subjective evaluations, the study only being performed during the first wave of the COVID-19 pandemic in the observed countries with different situations and consequent measures in response, and differences in the broader environment and local administration systems in the studied countries), the findings of the study are important given the lack of similar empirical studies. Public administrations should be digitalised and reformed in a way that ensures that they effectively and efficiently design, implement, measure, and continuously improve their strategies, tactics, and services, which can all be accomplished by being agile. The paper offers insights into: (1) the lessons learnt about the nature of digitalised public services/processes and agile management approaches in response to the COVID-19 pandemic and their impact on good governance; and (2) proposals for policymakers and managers in public administrations with regard to operating in extreme VUCA circumstances in any next wave of COVID-19 pandemic or in a new pandemic/public health disaster.