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This study aimed to develop a taxonomy of research areas in open government data (OGD) through a bibliometric mapping tool and a qualitative analysis software.

In this study, the authors extracted metadata of 442 documents from a bibliographic database. The authors used a bibliometric mapping tool for familiarization with the literature. After that, the authors used qualitative analysis software to develop taxonomy.

This paper developed taxonomy of OGD with three research areas: implementation and management, architecture, users and utilization. These research areas are further analyzed into seven topics and twenty-eight subtopics. The present study extends Charalabidis et al. (2016) taxonomy by adding two research topics, namely the adoption factors and barriers of OGD implementations and OGD ecosystems. Also, the authors include artificial intelligence in the taxonomy as an emerging research interest in the literature. The authors suggest four directions for future research: indigenous knowledge in open data, open data at local governments, development of OGD-specific theories and user studies in certain research themes.

Early career researchers and doctoral students can use the taxonomy to familiarize themselves with the literature. Also, established researchers can use the proposed taxonomy to inform future research. Taxonomy-building procedures in this study are applicable to other fields.

This study developed a novel taxonomy of research areas in OGD. Taxonomy building is significant because there is insufficient taxonomy of research areas in this discipline. Also, conceptual knowledge through taxonomy creation is a basis for theorizing and theory-building for future studies.

The purpose of this paper is to identify the causes and implications of potential negative consumer response to music in broadcast commercials. It aims to accomplish this by introducing a new consumer response variable, attitude toward the advertising music (A_am) and relating A_am's components to advertising goals. It also aims to propose that A_am is a significant component of attitude toward the ad (A_ad).

The paper takes the form of an integrative review of the relevant literatures in the psychology of music, consumer marketing, and advertising to formulate A_am.

Favorable A_am is a necessary but insufficient condition for favorable A_ad in ads employing music. Furthermore, a negative A_am might cause a negative A_ad. Given the numerous possible negative responses to music in a TV or radio commercial, achieving a favorable A_am among most target audience members is very challenging, especially when music‐message fit is lacking.

The paper offers cautionary advice for advertisers using music and directions for future research.

The paper provides a novel integration of literatures in psychology and marketing/advertising. Whereas most scholars and practitioners assume that music adds value to commercials, the authors demonstrate key ways in which music can cause adverse listener reactions.

This paper aims to explore the extent of open data actualization for start-up entrepreneurs based on affordance theory. The principal interest of the study revolves around the possible actions or actualization of open data for innovation and entrepreneurial benefits.

The author used a qualitative case study as the research design. The author consulted the central public agency that manages open data implementations in Malaysia regarding the research topic. By doing so, the author recognized and interviewed start-up entrepreneurs who actualize open data in businesses. From that exercise, the author conducted a snowball sampling technique to recruit more informants for the research. Start-up entrepreneurs selected for the study must be active in an entrepreneurial project and have at least one year of experience using open data for innovation and entrepreneurship. The author conducted 30 online semistructured interviews with start-up entrepreneurs, representatives from open data providers and a start-up association for triangulation purposes. The author adopted affordance theory as a lens of understanding. Qualitative analysis software was used to generate research findings.

In this study, start-up entrepreneurs actualize open data in three principal areas: product building with open data, value creation with existing products and open data for business research and strategies. The study came across distinct narratives of local start-ups that build open data products named “a property start-up,” “mechanics on the go” and “peer-to-peer digital charity movement.” Also, the study discovered three unanticipated findings about the research topic. First, the study uncovered two start-ups that used open data to enhance algorithm designs. Second, the study revealed a unique narrative of a start-up that pivoted business ideas based on open data during the Covid-19 pandemic. Third, the study learned about a start-up that initiated strategic partnerships with an agricultural association and smallholder farmers inspired by open data. These findings extend the literature on how start-up entrepreneurs actualize open data for entrepreneurial gains in a developing economy. What is also unique about this study is that there might be an open data misconception among start-up entrepreneurs. The findings advocate that some start-up entrepreneurs believed all data should be shared or opened upon request based on the generic understanding of open data. Clearly, this is a fallacy, and better awareness is required among start-up entrepreneurs regarding open data principles and implementations.

Data providers need to build a credible image of open data as a foundation to drive actualization. This can be achieved through capacity building, awareness campaigns and strategic engagements with start-up entrepreneurs. Open data institutions need to initiate flagship projects with start-up associations in highly valuable sectors to demonstrate commercial applications of open data in certain fields.

Previous research provides limited empirical studies on the commercial application of open data for start-up entrepreneurs. Hence, the novelty of this study lies in understanding how start-up entrepreneurs actualize open data to create value in their respective fields.

The purpose of this paper is to describe the process and the personnel skills required for converting a non-MARC database file into a MARC file for uploading to both OCLC and a local catalog. It also examines the various decisions that need to be made when mapping from one file structure to another.

Applied–Database record conversion.

While MARCEDIT is a remarkably powerful tool for cataloging and database maintenance purposes, dealing with non-MARC records requires additional programming skills and tools for the successful completion of a file conversion project.

Discusses the importance of converting locally produced databases, especially those with bibliographic content, to national and international standards to significantly increase their discoverability.

Provides an overview of file conversion issues and considerations.

History teaching in a multi‐cultural society was one of the most frequently discussed topics in educational circles in 1990. Anybody who learned history in the pre‐1960 period would, however, have been surprised to learn that it was thought that “multi‐cultural society” was a new‐thing in the UK. To them the history of these islands seemed to be one wave of invaders after another with a sort of English only established as a universal language some 400 years ago. This strand in our history was matched by another in which brave Britons went off in search of fame and fortune, or to head off a foreign threat, overseas.

Highly deprived urban contexts, such as informal settlements in the global south, can turn into niches of extreme innovation and sparkle ingenuity out of necessity. But what are the rationales behind the participation of disadvantaged communities in social innovations? Why do they engage in grassroots innovations? What is it that makes these grassroots try novelties and continue experimenting with them, even when the perceived benefits are not clear yet? This paper aims to examine and conceptualize the rationales for engaging in grassroots financial innovations in the context of extremely deprived urban settings.

This paper is based on the case of grassroots organizations which have started experimenting with the development of a community currency in Kisumu, Kenya. This paper is informed by in-depth interviews with members of three grassroots organizations involved in the community currency, together with observations and meeting participation since 2019.

The rationales argued by the participants for engaging in this grassroots innovation are framed in various ways: as a means for seeking poverty alleviation (the development framing); as a challenge to conventional imaginaries of innovations (the digital framing); and as an innovation embedded in community and trust relations (the community framing). These framings have a mobilizing effect that initially draws participants into the innovation. Yet, what explains persistent participation despite the decreasing influence of these framings over time is the organizational space and strategies of incompleteness accommodating these experiments.

This paper contributes to the emerging body of grassroots innovations movements literature. While research has progressed in its understandings of the challenges of scaling up innovative practices, the examination of the grassroots initiatives stemming from extremely deprived settings, and the rationales and framings behind, have been under examined. This paper comes to bridge this gap.

In the midst of a public health crisis like the COVID-19 pandemic, journalists play an important role of sharing information of consequence with the public. As first responders to precarious events, they work in close proximity to the threat they are reporting on yet at the same time struggle with other personal and professional responsibilities which are strenuous on their mental health. This chapter qualitatively interrogated journalists in order to understand their experiences with mental health during COVID-19 and how they worked through personal and social acceptability, biases and stigma as well as diagnosis. Of importance as well was to understand how they disclose, if they disclose at all, mental health issues and the different copying mechanisms. Findings show that journalists have a textbook but not applicable understanding of mental health, declaring that they many of them have experienced mental disorders without knowing. The consequences of COVID-19 measures such as layoffs, increased workload, inconsiderate media houses, brutality from law enforcement agencies were key contributors to mental health stresses. Journalists with supportive families seemed to have coped better while some buried themselves in multiple jobs to circumvent the stress that comes with financial privation.