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The purpose of this paper is to evaluate stakeholders’ responsiveness as an important factor of public–private partnership (PPP) projects performance.

Primary data were collected through the administration of structured questionnaires on the key stakeholders (public sector authorities, concessionaires, local lenders (financiers), consultants and contractors) involved in the identified 24 PPP projects so far initiated by Lagos State government in Nigeria. As such, 37 managerial officers (public sector), 20 concessionaires, 17 financiers, 22 contractors and 19 consultants (private sector) were purposively selected. These give a total number of 115 sample size. Out of this, 81 valid responses were received and used for the analysis. The elicited data were analysed using frequency distribution, percentile, mean item score and analysis of variance statistics.

The findings show that the responsiveness of stakeholders to identified responsibilities can only be said to be fair on the part of two primary stakeholders: government and concessionaires, while others, financiers, consultants, contractors and end-users, exhibit low level of responsiveness in PPP projects.

The paper empirically gauges how stakeholders respond to their responsibilities in PPP project. The study also provided insight from both theoretical and empirical perspective and the effect of stakeholders’ responsiveness on the performance of PPP projects. This study has implications for PPP project performance.

The uncertain supply chain network design (SCND) problem, considering suppliers’ environmental, social and governance (ESG) ratings, has been infrequently addressed in the literature. Looking at the importance of ESG ratings in achieving supply chain sustainability, this study aims to fill the gap by incorporating supplier ESG factors into SCND within an uncertain environment.

This paper presents a multi-period, multi product SCND model that integrates ESG factors and accounts for uncertainties in supply and production capacities. The model seeks to minimize total operational costs by determining the optimal selection of plant and warehouse locations across multiple time periods. Uncertainties in supply and production capacities are managed through a chance-constrained programming approach with right-hand side stochasticity. A Lagrangian relaxation-based heuristic method is applied to address the NP-hard nature of the problem.

The efficacy of the proposed model is illustrated through a numerical example, demonstrating its capability to optimize material flows across the supply chain under uncertain conditions. The model simultaneously considers economic and ESG factors in procurement decisions. A sensitivity analysis is conducted to examine different operational scenarios and their implications on the model’s outcomes.

To the best of the authors’ knowledge, this study is one of the first to integrate ESG factors into SCND under uncertainty. The proposed model provides a robust framework for decision-makers to optimize supply chain operations while considering both economic and ESG objectives in an uncertain environment.

This study aims to determine the effect of financial deepening on economic growth. It also investigates the role of the two political systems (i.e. democracy and monarchy) in supporting the effect between the two factors.

This paper adopts a dynamic panel regression model, i.e. generalized method of moments to answer the hypotheses. This paper uses data from 44 Islamic countries that are members of the Organization of Islamic Cooperation (OIC) for the period from 2010 to 2019.

This paper finds that financial deepening has an inverted U-shaped effect on economic growth. This means that financial deepening will only be effective at a certain threshold, if exceeded, it weakens economic growth. This negative effect is due to several reasons, such as high inflation, money supply, unproductive credit allocation and government policies. Furthermore, the political system facilitates the effect of financial deepening on economic growth. This finding becomes more valid as it is free from the endogeneity effect using two-stage least square tests.

The proxies used for economic growth and financial deepening in Islamic countries require refinement to improve their relevance and applicability. Furthermore, due to the unavailability of an easily accessible political system index, this paper is forced to use dummy variables.

The primary outcome of this research is to advocate for the establishment of effective governance within each member country of the OIC countries.

This study addresses the need to understanding how the effectiveness of the political system enhances financial deepening, thereby fostering economic growth.

The purpose of this paper is to investigate user satisfaction with digital health solutions by identifying and prioritizing different service attributes on the basis of their impact on improving user satisfaction.

Through a literature review and interviews with health professionals and patients, 20 attributes of digital health services provided in Italy have been identified. User satisfaction with these attributes has been evaluated by adopting the Kano model’s continuous and discrete analyses.

The findings reveal the essential attributes of digital health services that meet users' expectations, identify the attributes that users appreciate or dislike having and highlight unexpected attributes that lead to a significant boost in satisfaction when provided.

This study demonstrates the efficacy of the Kano model in assessing the nonlinear correlation between user satisfaction and the quality of digital health services, thus contributing to fill a gap in the literature in this area. The main limitation of this work is the use of a non-probabilistic sampling method.

This research suggests healthcare institutions and organizations consider user preferences when designing digital health solutions to increase their satisfaction. The results indicate different effects on user satisfaction and dissatisfaction for different categories of attributes in the Italian context.

Previous works studied customer satisfaction with digital health, assuming a linear relationship with service quality, or investigated consumer adoption intentions focusing on the technological factors. This work advances available knowledge by analyzing the nonlinear relationship between digital health attributes and users’ satisfaction and dissatisfaction.

This study aims to assess how envy, both directly and indirectly, through negative behaviors such as ostracism, negative word-of-mouth and alignment with the negative behaviors of superiors, influences innovative behavior based on the cultural dimension of individualism versus collectivism.

The data was collected using a survey applied to 305 individuals between October 2022 and June 2023. The model developed was analyzed and validated using partial least squares estimation with structural equation modeling (PLS-SEM) and PLS-SEM multigroup analysis techniques.

The results suggest that for individualistic individuals, negative word-of-mouth exerts a greater positive mediating influence on the relationship between envy and ostracism, and that envy exerts a greater positive influence on both alignment with the negative behaviors of superiors and on ostracism. In addition, the results indicate that negative word-of-mouth and ostracism together negatively influence the relationship between envy and innovative behavior.

This research provides empirical evidence that envy triggers negative behavior in both individualistic and collectivist individuals. Thus, in practical terms, envy can be considered as something more primitive that goes beyond the accepted values of sociability, especially in the organizational environment.

The main contribution of this research is to understand the effects of envy on innovative behavior, based on a conceptual model that considers the mental programs that differentiate one group of individuals from another. In addition, it presents theoretical and empirical implications that provide descriptive evidence of behaviors, making it possible to broaden the psychological understanding of them. In this specific sense, this research differs from other organizational studies, whose objectives are to standardize behavior.

The COVID-19 pandemic has compelled higher educational institutions to implement alternative educational strategies that rely heavily on internet accessibility and utilisation to monitor and evaluate students. This study aims to find certain indicators for planning and designing future courses of inclusive online education in the domain of disaster risk reduction (DRR).

The study reviews and analyses online teaching and learning experiences of DRR courses. It uses online surveys and interviews to derive the perspectives of selected students and educators in universities in Asia and the Pacific region.

Active engagement is considered to be achieved when students are active in chat boxes, through presentations, through assignments and when the video cameras of students are turned on. On the contrary, students perceive active engagement differently because they face emotional disturbances and health issues due to prolonged screen/digital device use, have inadequate information and communications technology infrastructure or have digital literacy deficiencies among others. The study finds that online courses have many sets of strengths, weaknesses, opportunities and threats, when they are balanced, they can improve DRR courses in the future.

The study is based on the outcome of interviews with 10 experienced educators in DRR courses as well as students from different schools taking courses in DRR education. However, the students are not necessarily taking the courses of the educators interviewed due to the inability of some educators to avail themselves and the challenge of contacting the students. This notwithstanding, the results of this study give a general overview of the situation to be considered in the planning and design of online and distance education.

The results do not reflect the reaction of students and tutors of the same course. Future studies of collecting and analyzing the responses from the students and the educators with the same course could provide tailored solutions.

This study attempts to find solutions to bridging two different perspectives on teaching and learning. The results would be important to strengthening and designing future online courses.

Digital transformation and innovation-driven development have become an international consensus. The purpose of this paper is to examine the effects of relationships, mechanisms and economic consequences between digital transformation and enterprise innovation quality in order to provide a benchmark for developing countries to implement digital transformation strategies and innovation-driven strategies and provide a major support for economic recovery in the post-coronavirus disease 2019 (COVID-19) era.

Using microdata from A-share listed enterprises in Shanghai and Shenzhen from 2010 to 2021, this study examines the relationship between digital transformation and enterprise innovation quality and further reveals the internal logic and economic consequences of digital transformation to improve enterprise innovation quality through the mediating effect and moderating effect models.

The results demonstrate that digital transformation is beneficial for improving enterprise innovation quality. The heterogeneity test demonstrates that digital transformation has a larger effect on improving enterprise innovation quality in non-state-owned enterprises and eastern enterprises in China. The mechanism test demonstrates that digital transformation can improve enterprise innovation quality by improving internal control quality and analyst attention. Furthermore, with the increase in enterprise innovation inputs, digital transformation plays a significantly stronger role in improving enterprise innovation quality. The extended analysis demonstrates that digital transformation can significantly improve enterprise financial performance by improving innovation quality.

First, the construction of the core explanatory variable digital transformation index in this study is based on the Python data analysis software, which calculates the frequency of digital transformation in the text of the business situation analysis portion of the annual report of the listed companies and then obtains the degree of digital transformation of the company in this year. There may be some deviation from the degree of digital transformation in the actual production and operation of enterprises. Second, in addition to internal control quality and analyst attention, are there other mediating mechanisms for the impact of digital transformation on the quality of enterprise innovation? Third, whether the moderating effect of innovation input on digital transformation and innovation quality is related to human capital factors of the research and development (R&D) team, such as the technical background of R&D personnel, etc.

This study enriches the relevant theories of digital transformation and broadens the research boundaries of digital transformation and enterprise innovation. This study's result provides an empirical basis for enterprises to improve enterprise innovation quality and financial performance from the perspective of digital transformation at the micro level and points out specific practical directions, combining theory with practice.

Achieving sustainability goals for manufacturing firms depends on green human resource management practices and green intellectual capital. This study explores how sustainable approaches, such as green human resource management practices, green intellectual capital, sustainable leadership and green innovation, enhance sustainable performance. Therefore, this study aims to determine whether green intellectual capital and innovation mediate between green human resources management practices and sustainable performance in Pakistan’s manufacturing industry.

The data were collected from 458 executives representing 155 (SMEs) in the manufacturing sector in Pakistan using a self-administered questionnaire. Partial least squares structural equation modeling was employed for the data analysis.

The results indicated that green human resource management practices positively impact green intellectual capital, green innovation and sustainable performance. Additionally, green intellectual capital significantly affects both green innovation and sustainable performance. Furthermore, green intellectual capital and innovation mediate the relationship between green human resource management practices and sustainable performance. Results also reveal that sustainable leadership significantly moderates the relationships between green human resource management practices, green intellectual capital and green innovation.

The results of this study assist practitioners in appreciating and assessing the significance of green intellectual capital and green human resource management techniques. It also emphasizes the importance of green innovation and sustainable leadership in fostering sustainable performance.

This study guides managers and policymakers on how green human resource management practices, intellectual capital, innovation and sustainable leadership enable firms to achieve sustainable performance goals.