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This study aims to explore when and under what conditions state-owned enterprises (SOEs) become important players in orchestrating the global climate action and what their roles are as domestic or international (de)carbonizers.

This is a conceptual paper that aims to advance understanding of the role of SOEs in addressing the global climate challenge. The authors build on the institutional theory to capture the importance of home-country climate regulation mechanisms and advance knowledge on the internationalization of SOEs. The authors review the literature on the institutional boundaries that shape the environmental activities of firms at home and abroad and develop the argument on the influence of home country institutions and internationalization on the role of SOEs in the global climate agenda.

In this study, the authors elaborate the SOEs’ climate action matrix and offer three propositions based on the fact that SOEs’ environmental strategies are driven by the interests of the state as owner and the scope of SOEs’ internationalization. First, the authors propose that the level of home country’s climate policy ambition explains SOEs’ stance on climate action. Second, scope of internationalization explains SOEs’ stance on climate action. Third, the progressive/increasing involvement of SOEs in climate action enhances the country’s climate stance.

The authors incorporate the climate argument into international business (IB) studies of SOEs’ internationalization, a novel approach that helps us to advance the knowledge on the complex issue of corporate climate action. The authors argue for a dynamic and reciprocal relationship between home/host countries and SOEs’ climate engagement. In doing this, the authors contribute to the IB research and policy agenda by exploring SOEs’ engagement in advancing the global climate agenda.

The application of mobile augmented reality (MAR) for enhancing user experiences and consumer patronizing intention has been the focus of recent MAR literature. Few studies examine the differences between apps. This study fills the research gap by examining how consumers assess their experiences with different MAR applications and how their decision-making process is performed, particularly in the setting of smartphones.

A web-based online survey was administered to collect data on consumers' perceptions of two different MAR apps: utilitarian and hedonic apps. Reliability and validity of the measurement scales, non-response bias and comment method bias were assessed. With the support of measurement model, partial least square (PLS) was employed to test the research hypotheses.

This study reveals that the technological attributes of augmented reality (AR) apps have significant effects on consumer perceptions of their utilitarian and hedonic benefits, including interactivity, visual quality, service quality, technicality and aesthetics. Moreover, this study shows that consumers of hedonic apps place more importance on their enjoyment with the MAR app; consumers of utilitarian apps focus more on the accrued functional values. The findings provide practical insights for retailers in AR marketing and application development in the MAR environment.

This study provides a comprehensive viewpoint for analyzing ongoing use and purchase intentions simultaneously in a unified theoretical framework. In addition, it compares different types of MAR apps: hedonic and utilitarian. Furthermore, it is one of the first few studies attempting to provide a comprehensive understanding of the predictive role of MAR technologies by incorporating privacy concerns into the research model based on user and gratification framework.

Demand for private investment in infrastructure, notably in the power sector remains high, and this is anticipated to expand with the passage of time. Very little research currently exists on the power sector and specifically the private sector influencing factors (PSIFs) for entering into public–private partnerships (PPPs). The purpose of this study is to explore influencing factors for private sector participation in PPP power projects in Ghana.

Using purposive and snowball sampling techniques, questionnaires were used to gather responses from experts in the PPP power sector domain in a two-round Delphi survey. Reliability analysis was conducted using Cronbach’s alpha coefficient and level of agreement tested using Kendall’s concordance. Mean score ranking, analysis of variance (ANOVA) and Chi-square test were the main analysis conducted on the influencing factors.

The most significant PSIFs were: obtaining of investment support; improvement in private sector’s international image; synergy with public sector; sharing of risks; and gaining of profits. From ANOVA results, all the influencing factors had no significant different perception between the number of years in PPP practice and the motivations for the private sector entering into PPP power projects. Using Chi-square, the association between the variables indicated they were statistically significant.

The findings in this study are significant for multinational power generation firms that seek to enter the Ghanaian energy sector to help fill the generation gap and deficit.

The output of this research contributes to the checklist of influencing factors for private sector participation in PPP power projects and enhances the development of PPP practice.