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In recent years, the public sector has faced the challenge of digitalisation. This has significantly impacted the relationships between citizens and public organisations and, thus, it widely affects participatory processes, such as participatory budgeting (PB); in fact, digital tools (DTs) have emerged as a solution, increasing citizen engagement whilst improving efficiency, reducing costs and saving time. This contribution analyses PB in Rome, which is also implemented with DTs, seeking to understand how DTs impact citizens’ role in creating public value.

The study is based on a qualitative approach, precisely by analysing a descriptive and exploratory single case study of PB’s first adoption in Rome in 2019. The information is obtained from multiple sources and examined through document analysis.

In the Roman context, DTs in PB primarily facilitated cost-effective information sharing, offering citizens basic participation. Unfortunately, the potential for more interactive DTs was overlooked, failing to enhance citizen engagement in critical phases like deliberation, evaluation or monitoring. Therefore, the tools did not fully support citizens becoming co-creators of public value instead of just users in governance.

The novelty of this study lies in exploring the difference between the use of DTs that assist citizens/users in improving service quality and those that support citizens in creating a public and shared value. It ventures further to assess various tiers of participation, meditating on the digital elements that stimulate active engagement and value creation instead of simply expanding the participant pool or process efficiency.

This study aims to investigate accounting practices within a non-Western (indigenous) context and provide insights into alternative accounting approaches and perspectives.

This study adopts an interpretive research approach to gain an in-depth insight into the functioning of accounting in Solomon Islands’ unique cultural and social-political context. In-depth interviews were conducted to gain insights into the perceptions and meanings held by participants concerning Western accounting practices and their limitations.

The findings provide unique insights into different interpretations of accounting and accountability through two distinct cultural lenses – Western and non-Western. The complimentary and rival explanations on what accounting and accountability are doing and what accounting and accountability should be doing will help close the gap in knowledge and contribute to shaping a better world for indigenous people.

Implications for practice involve fostering collaborative efforts among individuals, communities, leaders and institutions to harness cultural strengths through accounting. Additionally, continuous capacity building and education are essential to develop accounting skills, enhance financial literacy, promote professional expertise and build a pool of skilled accountants with local knowledge to support indigenous communities.

This study is original and provides novel insights supporting the need for accounting to recognise the importance of indigenous perspectives, adapt to cultural sensitivity and integrate cultural norms and values into accounting practices to make an impact and achieve greater social and moral accountability.

Currently, engineering project design lacks a design framework that fully combines subjective experience and objective data. This study develops an aided design decision-making framework to automatically output the optimal design alternative for engineering projects in a more efficient and objective mode, which synthesizes the design experience.

A database of design components is first constructed to facilitate the retrieval of data and the design alternative screening algorithm is proposed to automatically select all feasible design alternatives. Then back propagation (BP) neural network algorithm is introduced to predict the cost of all feasible design alternatives. Based on the gray relational degree-particle swarm optimization (GRD-PSO) algorithm, the optimal design alternative can be selected considering multiple objectives.

The case study shows that the BP neural network-cost prediction algorithm can well predict the cost of design alternatives, and the framework can be widely used at the design stage of most engineering projects. Design components with low sensitivity to design objectives have been obtained, allowing for the consideration of disregarding their impacts on design objectives in such situations requiring rapid decisions. Meanwhile, design components with high sensitivity to design objective weights have also been obtained, drawing special attention to the effects of changes in the importance of design objectives on the selection of these components. Simultaneously, the framework can be flexibly adjusted to different design objectives and identify key design components, providing decision reference for designers.

The framework proposed in this paper contributes to the knowledge of design decision-making by emphasizing the importance of combining objective data and subjective experience, whose significance is ignored in the existing literature.

This study examines how the introduction of mobile money transfers, while making it efficient and convenient to access funds, has affected rural households’ savings behavior and the banking sector.

This study utilizes Fiji’s most recent agricultural census data to model the agricultural household’s saving decision. The study estimates an probit model to examine rural households' savings behavior. Furthermore, it utilizes time series secondary data to examine how funds transfer has been channeled to rural households in Fiji.

Firstly, the results demonstrate that with the mobile money transfer platform launch, the banking sector has lost substantial money previously used to pass through its system, thus losing service fees and interest income. Furthermore, the findings demonstrate that those using mobile wallet platforms to receive money are more likely not to have a savings account with the bank. Noting the cultural systems and social settings of the native households and the ease of payments via the mobile platform, they tend to spend more on consumption rather than saving, thus making these households more vulnerable during shocks such as natural disasters.

While mobile money transfer is hailed as a revolution, no research has yet picked up the downside to it, that of undermining the very effort by policymakers to get low-income rural households to save. Secondly, this study also highlights how mobile money transfer deprives the banking system of a significant transfer fee income and a source of funds to pool and lend to earn interest income. Furthermore, this study brings to the forefront a dichotomy about how a rural indigenous community sees the welfare and prosperity of their community much differently than what economics textbooks portray.

The purpose of this study is to investigate the relationship between the absorptive capacity (AC) of a firm and project success (PS), with particular attention to the mediating role of customer knowledge management capability (CKMC) and the moderating role of environmental complexity (EC). By using data collected from Turkish SMEs across different sectors, the study seeks to understand how AC impacts project success, how CKMC mediates this relationship, and how EC moderates the link between AC and CKMC. The research contributes to both theory and practice by providing insights into these relationships and suggesting future research directions.

This study focuses on Small and Medium-sized Enterprises (SMEs) in Turkey, specifically within the cities of Istanbul, Ankara, Izmir, and Konya. To gather data, the researchers utilized a non-probabilistic convenience sampling method and distributed self-administered surveys to a selected pool of 918 respondents including shift supervisors, project managers, and team members within these SMEs. The surveys were translated to Turkish to avoid language issues. Out of the surveys distributed, 401 valid responses were collected, resulting in a response rate of 43.68%.

The main findings of the study indicate that a firm’s absorptive capacity (AC) positively impacts project success and customer knowledge management capability (CKMC). Furthermore, CKMC plays a mediating role, positively influencing project success. Additionally, the study reveals the moderating effect of environmental complexity (EC) on the relationship between AC and CKMC, suggesting that as EC becomes more complex, it strengthens the link between AC and CKMC. Moreover, CKMC was found to mediate the moderating effect of EC on the relationship between AC and project success, emphasizing the significance of environmental complexity in this interaction.

This study’s limitations stem from its cross-sectional approach, which limits the ability to establish causal relationships between the constructs of absorptive capacity (AC), customer knowledge management capability (CKMC), and project success. It does not examine other potential mediators, such as customer relationship capability and innovation capability. Furthermore, the existing literature on this topic is scarce, suggesting a need for further research, particularly on constructs like team skills for managing CKMC. There is also an unexplored area around the effects of different forms of complexity, such as resource and technical complexity. Finally, further research is needed to understand how SMEs, which often face resource constraints, leverage AC in different functional domains for successful new product development.

The study’s findings have significant practical implications for SMEs, highlighting the importance of absorptive capacity (AC) and customer knowledge management capability (CKMC) in promoting project success, particularly under conditions of environmental complexity. As businesses navigate uncertain environments, external knowledge acquisition becomes crucial for improvement and innovation. Efficient transformation of this knowledge can enhance project success rates. Thus, firms should cultivate a proactive, innovative, and risk-taking climate. Also, firms should regularly assess their AC and CKMC in the face of shifting stakeholder expectations and market competition. The ability to detect, integrate, and apply external knowledge in product and service development can significantly enhance project success rates.

This study’s originality lies in its exploration of the complex interplay between a firm’s absorptive capacity (AC), customer knowledge management capability (CKMC), environmental complexity (EC), and project success (PS). By examining Turkish SMEs across various sectors, the study uncovers the mediating role of CKMC and the moderating role of EC in the relationship between AC and PS. Furthermore, it reveals how the effect of AC on PS through CKMC strengthens with increasing environmental complexity. These findings offer fresh insights into the complexity theory and the factors influencing project success, providing a unique perspective for both academics and practitioners, with practical implications for managing SMEs in complex environments.

The purpose of the study is to emphasise the urgent need for pension policy reform within Indonesia’s social security system.

The methodology employed in this research includes qualitative techniques such as in-depth interviews and thematic content analysis.

The findings suggest various measures for pension reform, including revising eligibility criteria, adjusting benefit designs to cover housing and transportation costs, promoting Defined Benefit Plans, enforcing compliance, addressing insufficient contributions, advocating for transparency, and aligning social assistance programs with pension system enhancements. However, there is a trade-off between the adequacy of pension benefits and the amount of resources required.

This study is limited by the need for more individuals knowledgeable about pension issues in Indonesia, primarily due to their high-ranking positions, making access challenging and potentially compromising the small sample size in research.

The research underscores the importance of maintaining policy consistency. It proposes a gradual increase in pension contributions as a pivotal strategy to ensure sustained financial security for retirees, particularly in the face of fiscal constraints. Also, the government should undertake comprehensive reforms, encompassing the revision of eligibility criteria, adjustment of minimum benefit designs, encouragement of employer contributions and effective management of compliance issues.

Social implications emphasise the importance of enhancing the financial security of retirees within Indonesia’s ageing population.

The originality and value of the research lie in guiding pension reform from the viewpoint of key policymakers involved in Indonesia’s pension system.

The current research study aims to examine the application feasibility and impact of artificial intelligence (AI) among higher educational institutions (HEIs) in talent acquisitions (TA).

A systematic sampling method was adopted to collect the responses from the 385 staff working across the various levels of management in HEIs in metropolitan cities in India. JAMOVI & SmartPLS 4 were applied to validate the hypothesis by performing the simple percentage analysis and structural equation modelling. The demographic and construct variables considered were adoption, actual usage, perceived usefulness, perceived ease of use and talent management.

The key indicators of perceived usefulness are productivity, perceived ease of use, adaptability, candidate experience with the adoption of AI, frequency in decision-making in its actual usage and career path of development in the HEIs. These are the most influential items impacting the application of AI in TA.

AI has the potential to revolutionize TA in HEIs in the form of enhanced efficiency, improved candidate experience, more objective hiring decisions, talent analytics and risk automation. However, they facilitate resume screening, candidate sourcing, applicant tracking, interviewing and predictive analytics for attrition.

This study examines co-production during the Covid-19 crisis, characterized as a Black Swan event, with a specific emphasis on local professionals’ preparedness and response.

A qualitative approach combining deductive and inductive approaches was employed to gather data from professional coordinators of co-production processes in Israeli local governments. The study utilizes professionalism theory as a framework to examine such key elements as professional knowledge, autonomy, status and legitimacy. Additionally, open coding is used to investigate emerging themes.

The findings reveal that, despite preventive efforts by the central government, local professionals were unprepared to address the crisis. Traditional top-down approaches failed during the crisis, emphasizing the need for peer learning and collaboration among various stakeholders. Professionals' de facto autonomy, driven by quick decision-making and creative problem-solving, elevated their legitimacy and status. Inter- and intra-organizational collaboration was essential to maintain performance through co-producing public services. Finally, multicultural awareness proved vital; neglecting this may have severe consequences in routine times but especially during crises.

Using qualitative research, this study emphasizes the importance of understanding context in interpreting thoughts and actions. However, our approach has limitations. We collected data at a single point in time, which may not capture changes over time. Additionally, we relied on self-reporting from 19 public professionals in local municipalities, each managing the coproduction-based center within the respective municipality. However, this setup, where a single coordinator represents the entire co-production function of the municipality, has its limitations as only one voice is heard.

By shedding light on the multifaceted aspects of co-production, policymakers and professionals could learn about such substantial factors as professionals’ autonomy, inter-organizational collaborations and sensitivity to cultural nuances, which should be established first and foremost in routine times to prepare for crisis. In our case study, governmental preventive measures were inapplicable to crises, and experience of prior crises did not necessarily bestow an ability to prepare accordingly. This is where the role of the street-level professionals becomes significant: these are the actors who experience the crisis on the ground and may provide a quick and effective response. Their ability to take the reins, to be innovative and to generate knowledge while exerting their own professional consideration, proved extremely important.

This research contributes to our understanding of public service professionals’ effective leveraging of the contributions of co-producers in times of crisis. It shifts focus from top-down policy preparedness and implementation to the development of appropriate organizational structures and active and routine stakeholder engagement, thereby enhancing preparedness for crises.

The childbirth process is a complex and vital event that requires careful analysis and improvement. This experience can shape a woman's perspective on motherhood and even affect her mental health. Healthcare providers must prioritize improving the birth experience for women. In this interdisciplinary research, a combination of business process modeling (BPM) and medicine have been used with the aim of realizing an improved delivery experience and increased maternal satisfaction.

The data collection of this study was done by observing 518 childbirth processes and interviewing the chief of labor, chief residents, and midwives in the obstetrics and gynecology department of a hospital in Tehran from October 2022 to February 2023.

The research has been done in four main stages. The first phase is to model the primary process and sub-processes of normal vaginal delivery (NVD). The second phase is validation using expert confirmation and process mining (PM). The third phase is the analysis of the causes of maternal dissatisfaction in labor. The fourth phase of the heuristics redesigning and improving the process, in which for the first time three new categories have been presented including hospital-based, patient-based, and medical technique-based results show BPM intervention effect can be far-reaching in improving patient care and optimizing operational efficiency.

This study is one of only a few to adopt a process-oriented perspective to show how BPM can be used in clinical processes and has specifically examined an essential clinical process, i.e. childbirth.

1. Developing business process management (BMP) applications in a medical special process related to childbirth as interdisciplinary research.

2. A combination of qualitative and quantitative techniques contains engineering software and management approaches for a Case study, Implementation of BPM lifecycle in the women's hospital in Iran, Tehran, for a clinical process, which is called, normal vaginal delivery (NVD) process for fetal expulsion normally.

3. Modeling NVD clinical process and sub-process for the first time by BPMN2.0 notations in visual paradigm (VP) software and Validation of the made model with process mining (PM), by Disco process mining software. This was done through event log collection from HIS at the hospital.

4. Improving the childbirth process by redesigning heuristics and Introducing two new categories special for clinical process improvement for the first time.

5. Clinical process improvement heuristics obtained in this research are not consistent with the previous seven categories presented in previous studies such as Marlon Dumas' book. Therefore, we have introduced two new heuristics to redesign clinical processes compatible with medical centers, including hospital-based, patient-based, and medical technique-based.

6. Providing a framework for clinical process modeling and improvement containing steps and tools.

Developing business process management (BMP) applications in a medical special process related to childbirth as interdisciplinary research.

A combination of qualitative and quantitative techniques contains engineering software and management approaches for a Case study, Implementation of BPM lifecycle in the women's hospital in Iran, Tehran, for a clinical process, which is called, normal vaginal delivery (NVD) process for fetal expulsion normally.

Modeling NVD clinical process and sub-process for the first time by BPMN2.0 notations in visual paradigm (VP) software and Validation of the made model with process mining (PM), by Disco process mining software. This was done through event log collection from HIS at the hospital.

Improving the childbirth process by redesigning heuristics and Introducing two new categories special for clinical process improvement for the first time.

Clinical process improvement heuristics obtained in this research are not consistent with the previous seven categories presented in previous studies such as Marlon Dumas' book. Therefore, we have introduced two new heuristics to redesign clinical processes compatible with medical centers, including hospital-based, patient-based, and medical technique-based.

Providing a framework for clinical process modeling and improvement containing steps and tools.

The purpose of this research is to explore how an innovation organization's orientation toward the digital economy influences its position within R&D networks. By using institutional theory, the study aims to forecast market changes and understand how organizations can navigate the digital economy to secure essential resources and minimize dependencies.

This study employs a longitudinal panel dataset with 11,763 entries from 1995 to 2018, covering strategic emerging industries in China to analyze the impact of digital economy orientation on R&D networks. Utilizing advanced statistical models, it assesses the role of the legal environment as a moderator. This methodological approach facilitates a robust examination of the nexus between digital orientation and network dynamics within the context of institutional theory.

The study reveals that an organization's digital economy orientation enhances its centrality in R&D networks but reduces its control over structural holes. The legal environment negatively moderates the impact of digital economy orientation on network centrality, while positively influencing the relationship with network structural holes. These findings offer new insights into how institutional forces shape the strategic positioning of organizations in R&D collaborations.

This research offers a fresh perspective on the digital economy's impact on R&D networks, particularly in the Industry-University-Research (IUR) context. It extends the discourse by integrating institutional theory to elucidate the adaptation of R&D networks in the digital era. By identifying the legal environment as a moderator, the study provides a nuanced understanding of the strategic alignment within networks influenced by digital advancements. The unique focus on China's R&D networks presents a valuable contribution to the global discussion on digital integration and innovation ecosystems, highlighting the intersection of policy, academia, and industry in shaping research and development trajectories.