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Studies showed that a proactive delivery system employing innovative artificial intelligence (AI) in urban services might perform better. This has become an important national policy for many countries. Thus, this study aims to explore the influence of AI in urban services in Malaysia.

Official documents such as Structure Plan and Government Transformation Programme Policy Document covering various levels of cities in Malaysia, articles related to urban studies mostly written by researchers regarding urban growth in Malaysia and the Urban Development Bulletin from the Federal Department of Town and Country Planning from 1957 to date were reviewed and analysed.

The findings show that the influence of AI in urban services has long existed and been carefully planned by local authorities since colonial times. The development of global digital technology influences the upgrading of AI in urban services in Malaysia. Also, the success of AI in these municipal services is influenced by the rate of information technology literacy among the urban population. These developments have led to the definition of a conceptual city.

This paper's findings and conclusion were based on reviewed literature but did not compromise the strength of this paper. Thus, as part of the implications for future research, mixed-methods research design has been suggested.

As part of the implications, this article intends to promote AI in urban services in Malaysia and other developing countries with similar urban services challenges.

This paper encourages AI applications in urban services because it enhances service delivery performance. This intends to key stakeholders to promote AI via policies across Malaysia's urban services as part of the study implications.

This paper aims to discern the potential dimensions amid the duality of heritage tourism and peace. Reflecting on the phases of destruction and rebuilding of Seated Buddha of Jahanabad, this study used the content analysis of 40 news sources, to unravel the resultant avenues of heritage tourism and peace.

Following the qualitative research strategy, the interface of NVivo 12 has been used to transcribe the textual and visual content of media news. The media news aired on the incident of destruction phase in 2007, and rebuilding drive in 2012–2016 were the two sets of collected data. A hierarchy of thematic analysis was adopted to identify nodes, subthemes and themes.

Findings of this study highlighted six themes: peaceful imagery, PI; heritage dissonance, HD, vs interfaith harmony, IH; peace allegory through restoration, PAR; precursor of heritage sustainability, PHS; community heritage consonance, CHC; and heritage touristic valuation, HTV.

This study lacks statistical data of the quantitative research domain. Aimed at a single heritage site, it analyzed limited number of news sources.

This study offers implications for industrial, theoretical, managerial and governmental stakeholders in their respective domains. Moreover, it also provides takeouts for common readers.

This study contends a significant research issue and analyzes the destruction and rebuilding of a heritage site in a developing country. Primarily in the sociogeographic context of the research issue, the resultant dimensions are novel and demanding.

This final chapter of the book explores the impact of incentives on medical research. It focuses on the role of various stakeholders – academicians, journals, media, doctors, governments – in affecting scientific outcomes. It discusses common research methodologies and underlines that polluting factors such as incidental wrong findings, methodological problems, and proxy measurements are among the factors which can distort results. Stakeholder incentives, including publication bias, media sensationalism, researcher objectives, and conflicts of interest, within the pharmaceutical industry can complicate research integrity. This chapter concludes with some suggestions to improve the quality and reliability of medical research.

As national legislation, federated national services, institutional policies and institutional research service arrangements may differ, data stewardship programs may be organized differently in higher education institutions across the world. This work seeks to elaborate the picture of different data stewardship programs running in different institutional and national research environments.

Utilizing a case study design, this study described three distinct data stewardship programs from Purdue University (United States), Delft Technical University (Netherlands) and Aalto University (Finland). In addition, this work investigated the institutional and national research environments of the programs. The focus was on initiatives led by academic libraries or similar services.

This work demonstrates that data stewardship programs may be organized differently within varying national and institutional contexts. The data stewardship programs varied in terms of roles, organization and funding structures. Furthermore, policies and legislation, organizational structures and national infrastructures differed.

The data stewardship programs and their contexts develop, and the descriptions presented in this work should be considered as snapshots.

This work broadens the current literature on data stewardship by not only providing detailed descriptions of three distinct data stewardship programs but also highlighting how research environments may affect their organization. We present a summary of key factors in the organization of data stewardship programs.

The aim of this study was to map and scope a body of literature on the interplay between public value management (PVM) and digital transformation (DT), clarify the concept of PVM in DT, and identify knowledge gaps by using a scoping review methodology.

A scoping review was conducted, drawing on the framework proposed by Arksey and O’Malley (2005) and Levac et al. (2010). A total of 54 publications on the interplay between PVM and DT were selected for the final analysis from the Web of Science, Scopus, and Dimensions databases.

We found that PVM in DT is a relatively unexplored topic and that additional research is needed to focus on the role of emerging technologies such as artificial intelligence (AI) and blockchain, especially in the context of local and regional governments. We also found that researchers have a limited conceptual understanding of PVM and DT.

This article makes two main contributions. First, although PVM and DT have contributed to public value research, our findings show a need for more systematic knowledge of these complementary but distinct approaches. Second, this study provides a valuable addition to the developing body of research using the scoping review methodology in PAM literature.