Purpose
The purpose of this paper is to deliver further insights into empirical research on corporate governance of state-owned enterprises (SOEs) by systematizing existing knowledge, identifying current investigation backlogs, and deriving specific implications for future empirical research to address the lack of empirical knowledge in this field.
Design/methodology/approach
The study follows a literature analysis approach through a systematic, quantitative analysis of broad-based database queries from EBSCOhost and Web of Science to derive recommendations for future empirical research on SOE-oriented corporate governance.
Findings
The results indicate that empirical SOE-oriented corporate governance research is a growing field with wide-ranging opportunities for investigation. Given the lack of qualitative empirical research (representing only 21.7 percent of the studies identified) and the massive focus on regression analyses (69.9 percent) and secondary database data (77.2 percent), future empirical approaches should consider different methods and data sources. More qualitative research is needed for exploratory designs and canonical correlation-based statistical methods seem helpful for confirmatory approaches. In addition, 50.4 percent of the studies identified have a Chinese background, indicating room for studies from different cultural contexts.
Research limitations/implications
Given the range of the research field and the eclectic nature of the analytical approach, it is unlikely that every relevant scientific publication is included.
Originality/value
Since this study is the first of its kind, it contributes to SOE-oriented corporate governance research by drawing on a wide-ranging selection of studies and analyzing them to derive straightforward recommendations for future empirical research.
The desired e-government potentials and its shortcomings in reality are key reasons why e-government has become a major topic of interest to academics and practitioners, leading to an extensive body of knowledge. However, the literature still demands further quantitative empirical research to substantiate theory development. This situation calls for a specific review of the literature that arranges relevant knowledge and provides a solid foundation for future research. However, available meta-analyses do not deliver the particular insights to appropriately address the shortage of quantitative empirical e-government research. Therefore, this study explicitly focuses on this specific field to systematically uncover areas requiring further exploration, and defines promising research directions for a solid foundation for future investigations. Key findings of the meta-analysis are: the existence of a systematic divide of existing quantitative empirical e-government studies into 12 research subtopics, which are assessed according to different classification criteria for scientific research gap-spotting; the identification of emerging subtopics that carry innovative research potential; and that e-government is expected to be an ongoing, open-ended research environment that still provides manifold investigative opportunities. Based on these findings, straightforward suggestions for future research are provided. Points for practitioners Beyond providing insights into the current state of quantitative empirical research for scientific researchers, this article also delivers value for professionals working in public management and administration. First, the study provides a comprehensive overview of e-government-related meta-analyses, which allows us to quickly identify the literature in order to tackle particular e-government management issues. Second, the article classifies existing quantitative empirical studies, defines specific subject areas and arranges relevant knowledge, which eases the processes of confining and labelling e-government activities. Last, since these deliverables are based on empirical studies that draw their conclusions from perceptions of reality, the summaries and classifications are thus regarded to be of special importance for public managers.
E-government applications have become an important interface between citizens and public administration. However, quantitativeresearch on e-government usage shows a tendency toward generic research models and in part lacks statistical rigor. Especially mediating conditions are often not taken into account appropriately. This contribution addresses this gap and provides a conceptually extended model of technology acceptance in the context of online city portals. The proposed model is tested with a large sample (n = 1,273) using structural equation modeling. Ease of use, usefulness, and privacy were found to be determinants of e-government portal acceptance, which in turn determines continuance intention of e-government portals. Furthermore, Internet competence and need for personal interaction were found to be direct determinants of continuance intention on the level of individual user appeal. The findings are discussed in terms of theory, and implications for public managers of online city portals are derived.
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