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The COVID-19 pandemic showed that public bodies need to develop their services in an innovative way. However, as a result of numerous difficulties and barriers, employees in such agencies are hesitant to innovate. Knowledge sharing and an innovative culture are factors that can help raise innovation. However, empirical evidence is inadequate to demonstrate this claim, especially in the government sector. Thus, the aim of this study is to conduct an empirical analysis to study the impact of knowledge sharing and innovative culture on the service innovation of the United Arab Emirates’ (UAE's) government agencies.

The data were obtained from government institutions in the UAE. The analyses were based on 193 responses retrieved from a survey questionnaire sent to 221 government agencies. The authors used structural equation modelling (SEM) and statistical package for the social sciences (SPSS) to test the proposed hypotheses and do a preliminary study analysis.

The findings indicate that knowledge sharing has a significant and positive effect on service innovation. The innovative culture also moderates the relationship between knowledge sharing and service innovation.

These results provide information that is useful to decision-makers and managers in government agencies by emphasising the importance of effective knowledge sharing and innovative culture in improving service innovation in these entities. These relationships amongst knowledge sharing, innovative culture and service innovation may provide a clue regarding how government agencies can promote knowledge sharing and innovative culture to sustain their innovation performance.

Private-sector organisations are concerned about factors that enhance innovative activities as one of the factors of development, improvement and enhancement of competitive advantage. However, in government, especially in the UAE, research into the role played by innovation remains uncommon, particularly in the role of knowledge sharing and innovative culture in building service innovation. Because of this, it was important to do research on this topic to close the gap and provide evidence to back it up.

The purpose of this study is to empirically investigate the influence of innovation orientation, information sharing and service innovation in United Arab Emirates (UAE) government institutions.

Using a convenient sample approach, data was obtained from the UAE government agencies. The various constructions were analysed using partial least squares structural equation modelling in SmartPLS.

The results show that innovation orientation has an impact on service innovation. Knowledge sharing also functions as a moderator in the link between innovation orientation and government service innovation.

This paper contributes both theoretically and practically. To the best of the authors’ knowledge, it is one of the first studies to examine direct correlations between innovation orientation and government service innovation, giving evidence of the moderating function of knowledge sharing in innovation orientation and service innovation.

Government agencies are trying to develop strategies to improve their innovative activities. However, due to many challenges and obstacles, employees are reluctant to perform innovatively in such agencies. Human resource management (HRM) practises and an appropriate culture can help to improve service innovation. However, empirical evidence to prove this relationship is insufficient particularly in the government sector. Thus, this study aims to empirically analyses the effect of HRM practises and innovation culture on service innovation of the United Arab Emirates (UAE)’s Government agencies.

The data were collected from government entities in the UAE. Structural equation modelling through partial least squares modelling was used to test the proposed hypotheses. SPSS was also used to conduct preliminary analysis.

Statistical results provide strong evidence that HRM practises and innovation culture positively affected service innovation of UAE’s Government agencies.

Further details and valuable implications are discussed throughout the study. Results have many practical and theoretical implications. Results can help government agencies develop their services innovation by tailoring HRM practises and establishing proper innovation culture in their agencies.

Although several contributions indicated that culture is a key determinant of innovation and a mediator in the link between HRM practises and service innovation, the literature lacks empirical studies investigating this link. Accordingly, this study seeks to bridge this gap and delivers evidence supporting them. In addition, this study is one of the unique studies that use these variables in government agencies in the UAE.

The purpose of this study is to investigate how supply chains can become more resilient through innovation initiatives. It examines the expansion and deepening of relationships between buyers and suppliers and the facilitatory role of the government in this process.

This study compares supply chains in the advanced manufacturing and food industries. It is based on qualitative research involving case studies and in-depth interviews with buyers, suppliers and facilitators from government.

The study reveals that innovation is critical in building more resilient supply chains. It uncovers the importance of power distribution, coordination, communication, trust and commitment for innovation within these relationships.

It provides implications about how best to develop effective buyer–supplier relationships through innovation and diversification, for marketing and purchasing managers, CEOs of manufacturing companies and suppliers and government players with responsibility for industry development and innovation.

It advances the industrial buyer–supplier literature by extending the predominantly business-to-business supply chain perspective to include the role of government in supply chains and their innovation.

This study aims to examine factors influencing potential commercial innovators' intention to innovate with open government data (OGD) via a risk perspective.

The authors develop a theoretical model that explains how different forms of uncertainty (i.e. financial, technology, competitive, demand, and data) and their inter-relationships influence potential commercial innovators' intention to innovate with OGD. The model is tested using survey data collected from 144 potential commercial innovators from a developed Asian country.

The results suggest that all other forms of uncertainty, except competitive uncertainty, negatively influence potential commercial innovators' intention to innovate, mediated by their perceived risk of innovating with OGD. The results also show positive relationships between different forms of uncertainty, i.e. competitive and financial, demand and competitive, data and financial uncertainty.

This paper identifies major forms of innovation uncertainty, perceived risk, their inter-relationships, and impacts on the intention to innovate with OGD. It also finds support for a unique form of uncertainty for OGD innovation (i.e. data uncertainty).

This paper aims to propose a conceptual framework showing factors favoring the adoption of information systems (IS)-based service innovations in the public sector at the organizational level.

The research design is based on the development of a theoretical framework from the technology–organization–environment framework and from a case study of an outsourced IS-based electronic document management system from six different ministries in the same state in Mexico.

Strong contrasts in the degree of adoption of the service innovation appeared among various ministries involved in state government, revealing differences in the presence or absence of key variables, integrated into theoretical framework, including perception of external pressure; perception of benefits and risks and organizational readiness; and political, sociotechnical and economical inertia in given institutional conditions, leading to different public value outcomes associated with intraorganizational efficiencies and to the relationship between public administration and politicians.

Public managers must consider process mapping and sources of political, sociotechnical and economical inertia in given institutional conditions, to ensure a satisfactory adoption of service innovations in public administration and create public value. The promotion of a more structured and enduring professional career system in such context is another key to the adoption of innovations.

Based on theoretical and empirical grounds, the main contribution of this paper is to emphasize, through an integrated theoretical framework, the relatively unexplored roles of process mapping in organizational readiness and of political, sociotechnical and economic sources of inertia in relation to specific agents in the adoption of public sector service innovations at the organizational level in the context of the public administration in Mexico to produce public value.

Government service delivery is undergoing change as a result of innovations in information technology (IT). Scholars and practitioners have paid attention to electronic-government (e-government) as a strategic tool for delivering services through the Internet and thus enhancing service quality, as well as streamlining internal operations (Council for Excellence in Government [CEG], 2000; Center for Technology in Government, 1999; Ho, 2002; Norris & Moon, 2005; West, 2004). Many local governments have also initiated e-government development and taken advantage of internet-based applications to facilitate community development and communication with constituents (Benjamin, 2001; Modesitt, 2002), as well as to provide online application services (Ho, 2002; Norris & Moon, 2005). E-government brings with it the potential for greater cost-efficiency, enhanced citizen involvement, improved service quality, and increased transparency. Although e-government has the potential to provide many benefits, little research has been conducted on e-government performance and the influence of public management on e-government performance in local government.

The purpose of this study was to examine the influence of digital government innovation on transformational government. Digital government innovation is ordinarily implemented as means for the creation of public value. However, realisation of benefits from the digital government platforms has proved to be a challenge, and great discrepancy has been observed in the extent of public value generated, pointing to lack of innovativeness in resource-constrained environments. This research investigates the influence of digital government ambidexterity as an innovation strategy in enhancing transformational government (T-Gov). The authors develop hypotheses relating to digital government ambidexterity with two factors of innovation for enhancing T-Gov: exploitation incremental digital innovation and exploration radical digital innovation.

The hypotheses are tested using a sample size of 690 citizens interacting through digital government platforms. The authors identify exploitation incremental digital innovation and exploration radical digital innovation as factors, and how these factors of digital government ambidexterity influence information quality for public value creation. The success of T-Gov is associated to the implementation of digital government policy which moderate the relationship between digital government ambidexterity and information quality.

The empirical outcomes suggest that exploitation incremental digital innovation and exploration radical digital innovation positively influence information quality, thereby leading to public value, and this result become successful if there is implementation of digital government policy. Treating the two factors of digital government innovation as complementary leads to public value creation.

Limited time and funds to conduct a country comparative study. The study only focused on urban municipalities, of which it would be interesting to explore rural municipalities.

Adoption of MunINFORQUAL model for promoting digital government platform utilisation by citizens.

The utilisation of digital government platforms would improve citizens’ lives in a number of ways. For instance, citizen municipal interaction for service delivery and social benefits through instant notifications of developmental projects.

This paper contributes to the research literature on digital government innovation particularly from resource-constrained environments. Also, the study provides new empirical test using a data set of 690 citizens interacting through digital government platforms.

To induce innovation in the public sector, Directive 2014/24/EU encourages internal and external consultation during the procurement process. However, little is known regarding the prominence of these practices. Determining the extent of knowledge sourcing in innovation procurement across 28 European countries, this paper presents an institutional cluster analysis, examining heterogeneity across knowledge sourcing activities, procurement areas, and tender innovation outcomes for 1,505 public procurers from 2008-2010. Building upon existing taxonomies, three types of procuring agencies are identified: Large collaborative agencies practicing public procurement of innovation (31%); supplier-focused pre-commercial procurers (20%); and direct procurers at the municipal level (49%). Validation supports this heterogeneity, using innovation outcomes and policy drivers. At the country level, Spain, the United Kingdom, Italy, Germany and Poland are most represented in respective clusters. Findings enable predictions regarding impacts on agencies and innovation from the new public procurement directive's translation into national law by Member States.

The purpose of this paper is to show that research on policy diffusion mechanism of Government Procurement of Public Services (GPPS) is beneficial to improve the efficiency of policy formulation and implementation.

In view of the four dimensions which are internal demand, external pressure, policy innovation environment and service characteristic, a system of factors affecting policy diffusion is established. On this basis, a Multilayer Fuzzy Cognitive Map (MFCM) model for policy diffusion of GPPS is constructed. Nonlinear Hebbian Learning algorithm and genetic algorithm are applied to optimize the two components of the MFCM model, which are relationship between nodes at the same layer and influence weights between nodes at different layers, respectively. Taking Nanjing municipal government purchasing elderly-care services in China as the empirical object, simulation of policy diffusion based on the MFCM model is carried out, aiming to obtain the key factors influencing policy diffusion and the dynamic diffusion mechanism of GPPS policy.

Research results show that, compared with monolayer Fuzzy Cognitive Map, the MFCM model converges faster. In addition, simulation results of policy diffusion indicate that economic development level of jurisdiction, superior pressure, administrative level and operability of services are key influencing factors which are under four dimensions correspondingly. And the dynamic influencing mechanism of key factors has also been learned.

This paper constructs the MFCM model, which is a new approach based on several monolayer FCMs, to study the policy diffusion mechanism.