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The purpose of this paper is to introduce and identify the basic components, tasks and application areas of expert systems (ESs) as a decision support system that has been increasingly used in the business world lately and explore its potential for improving the effectiveness of administrative decisions in the public sector. Empirically, the paper explains the role of ESs in fostering decision-making processes at the Ministry of Investment and International Cooperation (MIIC) in Egypt.

The design of this research is descriptive in the theoretical section and quantitative in the empirical one. Theoretically, the study adopted both the analytical approach and systems approach to demonstrate main concepts and relationships, while it conducted an empirical study to investigate the correlations in practice.

The research concluded that the usage of ESs is deemed to be on the top of the technical solutions that might help public organizations develop their management quality and maintain competitive strength. In addition, the results proved that ESs contribute to administrative decisions at MIIC.

The paper provides profitable findings and recommendations which can be applied by Egyptian public executives, in an attempt to ensure high quality and successful decisions using modern technology.

This study has valuable implications for theory and practice together, as it offers numerous contributions to literature in the area of concern.

This article investigates how Sustainable Development Goals (SDGs) can be integrated into the strategic planning and management processes of local governments (LGs). It draws from the classic strategic planning and control framework developed in management studies and elaborates some propositions for adapting, implementing and monitoring the SDGs at the city level.

As a first step in the assessment of the ways the principles of sustainable development can be integrated into LG management, this research scrutinizes the incorporation of sustainability goals in the strategic plans of all medium-to-large capital cities of provinces in Italy, a context in which there has been a National Strategy for Sustainable Development (NSSD) since 2016.

The focus on SDGs at the LG level in Italy is in its initial stage, and few capital cities have started to integrate sustainable development concerns into their comprehensive strategic plans. SDGs are used mainly as a reference framework in the strategic plans to demonstrate the contribution of LG strategies to global concerns on sustainable development.

The paper offers insights for political leaders and public managers to rethink their strategic management systems, including the continuous process of evaluating and updating of strategic plans, in accordance with the multidimensional perspective of sustainability. To this end, the study has identified possible patterns of actions that public managers elsewhere will find useful.

The managerial approach behind the proposed conceptual framework might contribute to effectively localize the SDGs in multilevel government settings and to integrate the concept of sustainability as a guiding principle into organizational routines.

The role of logistics service provider (LSP) is essential for efficient logistics service quality (LSQ) and supply chain management, especially in multimodal transport. Multimodal transport routes that use the Trans-Siberian Railway (TSR) play an important role in the supply chains of Northeast Asia. This paper aims to identify current conditions of TSR LSQ and propose improvements to enhance the competitiveness of traditional routes. Therefore, this study sheds light on and provides recommendations for various managerial strategies to LSPs in the context of the TSR. This study utilizes Importance-Performance Analysis (IPA) to measure levels of importance and performance of the logistics service of LSPs that provide multimodal transport services via the TSR from South Korea to Europe. This study identifies capabilities on the basis of five criteria (price, timeliness, reliability, equipment systems, and customer service) from a customers’ perspective. The results of the research indicate that operational improvements should be considered to activate TSR multimodal transport for northern logistics routes from the perspective of Korean shippers. Specific findings show that balanced development strategies are needed for logistics routes that have not yet been significantly activated, while implying that logistics costs could be reduced initially to satisfy shippers. This study presents an operational strategy for LSPs using the TSR in northern logistics through IPA methods. Furthermore, this research can help policymakers propose specific policies to revitalize the northern logistics of Korean logistics companies and to provide incentive supports for shippers.

The purpose of this paper is to compare service outsourcing decisions between public and private organizations and against a theoretical decision-making framework to both understand differences across the sectors and to provide an outsourcing framework more suitable specifically for outsourcing (and for the public sector).

Multiple case studies, i.e. a study of phenomena (here outsourcing process) at various sites is used as an approach.

Findings indicate that public sector organizations are trailing behind private sector organizations in how the decision-making process is conducted and resourced. The authors suggest regular evaluation of service functions internally as a starting point for the outsourcing service decision-making process. Additionally, the market analysis should be done prior to cost analysis and benchmarking as the availability of suppliers more qualified than the internal process defines the make or buy decision.

The newly developed framework based on empirical evidence includes the following phases: regular evaluation of service functions, market analysis, cost analysis and benchmarking and evaluating relevant service activities. Applying the framework improves the efficient delivery of outsourced public services and brings public sector outsourcing closer to the professionalism currently present in the private sector.

Choosing between in-house and outsourced service delivery is a fundamental decision in both private and public sector organizations. Previous outsourcing research has mostly focused on the private sector, with limited focus on the public sector’s outsourcing processes, yet understanding of the service outsourcing process is important in ensuring organizational competitiveness and cost efficiency.

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.

Uncertainty, a state of unknowing linked to threats and opportunities, is a key characteristic of megaprojects, making it challenging for government officials and politicians to decide on their initiation. For them, implementation by the private sector adds an extra layer of complexity and uncertainty to megaproject planning. In this context, only a few studies have focussed on governing and the mobilization of uncertainty arguments in communication between government actors and private developers either in favour of or against megaprojects. The purpose of this article is to shed light on how private megaproject proposals progress towards political acceptance or rejection in public decision-making.

This process of public decision-making on private megaproject proposals is examined in the case of the Helsinki–Tallinn undersea rail tunnel. In line with the interpretive research tradition, the authors’ study draws on a qualitative methodology underpinned by social constructionism. The research process can be characterized as abductive.

The authors’ findings suggest that while public decision-making on megaprojects is a conflictual and dynamic process, some types of uncertainty are relatively more important in affecting the perceived feasibility of the projects in the eyes of public sector decision-makers.

This study contributes to the debate on uncertainty management in megaprojects, proposing a new type of uncertainty – uncertainty about privateness – which has not been explicitly visible thus far.

Inter-organisational governance is an important enabler for information processing, particularly in relationships undergoing digital transformation (DT) where partners depend on each other for information in decision-making. Based on information processing theory (IPT), the authors theoretically and empirically investigate how governance mechanisms address information asymmetry (uncertainty and equivocality) arising in capturing, sharing and interpreting information generated by digital technologies.

IPT is applied to four cases of public–private relationships in the Dutch infrastructure sector that aim to enhance the quantity and quality of information-based decision-making by implementing digital technologies. The investigated relationships are characterised by differing degrees and types of information uncertainty and equivocality. The authors build on rich data sets including archival data, observations, contract documents and interviews.

Addressing information uncertainty requires invoking contractual control and coordination. Contract clauses should be precise and incentive schemes functional in terms of information requirements. Information equivocality is best addressed by using relational governance. Identifying information requirements and reducing information uncertainty are a prerequisite for the transformation activities that organisations perform to reduce information equivocality.

The study offers insights into the roles of both governance mechanisms in managing information asymmetry in public–private relationships. The study uncovers key activities for gathering, sharing and transforming information when using digital technologies.

This study draws on IPT to study public–private relationships undergoing DT. The study links contractual control and coordination as well as relational governance mechanisms to information-processing activities that organisations deploy to reduce information uncertainty and equivocality.

Managers are increasingly looking to adopt the Internet of Things (IoT) to include the vast amount of big data generated in their decision-making processes. The use of IoT might yield many benefits for organizations engaged in civil infrastructure management, but these benefits might be difficult to realize as organizations are not equipped to handle and interpret this data. The purpose of this paper is to understand how IoT adoption affects decision-making processes.

In this paper the changes in the business processes for managing civil infrastructure assets brought about by IoT adoption are analyzed by investigating two case studies within the water management domain. Propositions for effective IoT adoption in decision-making processes are derived.

The results show that decision processes in civil infrastructure asset management have been transformed to deal with the real-time nature of the data. The authors found the need to make organizational and business process changes, development of new capabilities, data provenance and governance and the need for standardization. IoT can have a transformative effect on business processes.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the propositions further.

The paper shows that data provenance is necessary to be able to understand the value and the quality of the data often generated by various organizations. Managers need to adapt new capabilities to be able to interpret the data.

This paper fulfills an identified need to understand how IoT adoption affects decision-making processes in asset management in order to be able to achieve expected benefits and mitigate risk.

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.