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The present research seeks to rest its edifice on the proposition that the role of gender and academic background of a user in terms of the technical/liberal/hospitality and care domain impinges upon the Open Government Data (OGD) adoption and usage. Specifically, the adapted Unified Theory of Acceptance and Use of Technology (UTAUT) model is being deployed to empirically validate how the OGD usage and adoption vary among the 313 respondents in a leading private university in India in line with their academic background and gender. Findings from the study via Partial Least Squares-Structural Equation Modelling (PLS-SEM) show that academic background and gender are moderating Behavioural Intention to use and adopt OGD through Performance Expectancy, Facilitating Conditions, Data Quality, System Quality, Information Quality and Trust, whilst the Multi-Group Analysis (MGA) shows that there are differences between the technical and liberal/hospitality and care cohorts in terms of their gender vis-a-vis Voluntariness of Use and System Quality vis-a-via the Behavioural Intention to adopt and use OGD. [ABSTRACT FROM AUTHOR]

Open Government Data (OGD) is a build-up of the data accumulated in the government organisations pertaining to the structural and functional dimensions and it is imperative for OGD to be high-value for facilitating value creation and innovation. The present study purports to provide a launchpad to the aforementioned truism by advancing the concept of Open Government Data Capital (OGDC) resting on the principles of Knowledge Management (KM) given that the high-value OGD can result only with the engagement of the concerned administrative agencies in knowledge sharing for being made accessible for wider use via dedicated web portals. To drive home the arguments, an empirical investigation is conducted with four top-notch countries, viz., Canada, Australia, New Zealand and the United States, in terms of the quantitative evaluation of their OGD portals' quality and inferences are drawn as to how OGDC may be furthered with the provision and maintenance of high-value datasets. Thus, it is shown that the Australian OGD portal is qualitatively robust and leads in terms of OGDC which may be beefed up with more integration of the KM practices in terms of the inter-governmental agencies' coordination and the other countries are lagging behind in terms of the quality parameters. [ABSTRACT FROM AUTHOR]

Political leaders articulate themselves best via speeches and/or writings across diverse media (print or electronic) for campaigning, pitching their stand, confronting the opponent/s, impressing upon the citizens, penning down their biographies, and the like. While making speeches, politicians evince provocative sentiments themselves that are likely to move the audience-that is the prime objective of any orator. Concomitantly, however, the politicians make speeches charged with emotions to drive home a point. The present study seeks to hinge itself upon the speeches of Volodymyr Oleksandrovych Zelenskyy, the Ukrainian President, who is embroiled in a war with Russia since February 2022. Specifically, sentiment analysis was done to understand the dynamics of emotions that wavered with the progress of war. Computational text analysis of speeches for a specified period (24 February 2022 until 24 July 2022) shows that sentiments appear to increase over a period of time wherein the best predictor, in our Bayesian regression models, for a change in Zelenskyy's sentiment between today and tomorrow is his "present" sentiment-the sentiment that he evinces "today." Implicitly, if we detect a high/low positive sentiment "today," we would expect to see a strong mean regression such that tomorrow's sentiment should be close to neutral. Findings suggest that in contrast with the general observation that peculiar war events tend to have great power in explaining changes in sentiments, the same was found only to be an ancillary factor in the present study. The study is rounded off with further research pointers with practitioner implications. [ABSTRACT FROM AUTHOR]

While previous research on Open Government Data (OGD) has primarily focused on reuse and adoption, this study aims to explore the implications of the Public Service Logic (PSL) and Public Service Motivation (PSM) dimensions in the context of OGD initiatives. This study is contextualized in Tanzania wherein the OGD initiatives are at an evolving stage. For the present study, the perspectives of the 15 public officials involved in the management of the OGD initiatives are being solicited. Findings underscore the need for furthering the marketing and refurbishing the OGD initiatives' quality alongside the increased involvement of the stakeholders to engage in value co‐creation. Furthermore, as a study contextualized in a developing country to understand the involvement of the public personnel in the refurbishment of the OGD initiatives, the study contributes to the extant OGD literature while identifying the OGD publisher‐side challenges and strengths in a still‐evolving OGD initiative. Finally, with its societal implications in terms of the impact on societal stakeholders' engagement with OGD given the PSL‐PSM of the public officials, the study's relevance is also clinched. [ABSTRACT FROM AUTHOR]