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Taking the researchers’ perspective, the purpose of this paper is to examine the types of context information needed to preserve data’s meaning in ways that support data reuse.

This paper is based on a qualitative study of 105 researchers from three disciplinary communities: quantitative social science, archaeology and zoology. The study focused on researchers’ most recent data reuse experience, particularly what they needed when deciding whether to reuse data.

Findings show that researchers mentioned 12 types of context information across three broad categories: data production information (data collection, specimen and artifact, data producer, data analysis, missing data, and research objectives); repository information (provenance, reputation and history, curation and digitization); and data reuse information (prior reuse, advice on reuse and terms of use).

This paper extends digital curation conversations to include the preservation of context as well as content to facilitate data reuse. When compared to prior research, findings show that there is some generalizability with respect to the types of context needed across different disciplines and data sharing and reuse environments. It also introduces several new context types. Relying on the perspective of researchers offers a more nuanced view that shows the importance of the different context types for each discipline and the ways disciplinary members thought about them. Both data producers and curators can benefit from knowing what to capture and manage during data collection and deposit into a repository.

The purpose of this paper is to create a research framework to scrutinize how individuals' digital technology use produces tangible and intangible outcomes in online (digital) and offline realms.

The paper applies the Bourdieusian e-capital perspective to create a theory-based framework. The framework was used to guide a survey design to explore women's “social media-assisted reuse” at the micro-scale in Helsinki, Finland.

The paper argues that a new form of capital emerges when individuals utilize digital technologies in correspondence to their goals to gain added value that would be impossible or significantly more arduous to gain without the digital realm. The survey indicates that the respondents utilize the digital space – set objectives and gain capital-related outcomes – in correspondence to their differing social, economic and cultural positions and related resources in- and outside of the digital realm.

If digital spaces – due to social inequality and underlying power structures – become increasingly stratified, there will be significant impacts on how individuals from differing backgrounds gain accumulated forms of capital through the digital realm. The question is of great importance for battling inequality.

The paper enhances and synthesizes recent discussions on different forms of capital and outcomes of the use of digital technologies and presents a combined “e-capital–digital divide” framework that offers a more complete agenda for investigating the finely nuanced links between the inputs, outputs and outcomes of digital technology use.

This study aims to evaluate the reuse of monumental structures through sustainability components, with the aim of emphasizing the sustainability of re-functional monumental structures.

In this study, which is based on situation analysis, urban inns in Samsun which is located in the Central Black Sea Region of Turkey, are discussed over the data obtained from archive and field studies in line with the environmental, social and economic sustainability criteria determined as a result of literature research.

The sustainability of the sample in the environmental, social and economic context has been revealed and what should be done for the sustainability of monumental structures over environmental, social and economic components has been discussed.

It has increased awareness of the environmental, social and economic dimensions of adaptive reuse as well as increasing the awareness of the buildings.

This study contributes to the literature in terms of evaluating monumental structures through the determined sustainability components. It is the first study on the sustainability of urban inns in the province of Samsun, the construction material of which is stone.

The present research is aimed at presenting a framework for the reuse of research data in Iran through applying the United Nations Development Program (UNDP).

The research at hand has a mixed methods design. In the qualitative section, the authors first carried out meta-synthesis and then an interview was conducted. Likewise, in the quantitative section, the reliability of the recommended framework was measured through carrying out a survey. Finally, the framework for data reuse was presented in five dimensions, namely human, organizational, policies and laws, technical, implementation and analysis.

Through structural equation modeling, the fitness of the framework was confirmed, and it was found out that the dimensions of policies, human and organizational played more prominent roles in the explanation of the framework in comparison with the other two dimensions.

Research studies in the area of data reuse have been conducted either quantitatively or qualitatively and in most of them interviews or questionnaires were used as tools for collecting data; however, due to the nature of this area and its relatively new literature in Iran, it is necessary to use mixed methods in order to be able to arrive at a proper understanding of this concept using both quantitative and qualitative approaches.

The purpose of this paper is to quantitatively examine factors of trust in data reuse from the reusers’ perspectives.

This study utilized a survey method to test the proposed hypotheses and to empirically evaluate the research model, which was developed to examine the relationship each factor of trust has with reusers’ actual trust during data reuse.

This study found that the data producer (H1) and data quality (H3) were significant, as predicted, while scholarly community (H3) and data intermediary (H4) were not significantly related to reusers’ trust in data.

Further disciplinary specific examinations should be conducted to complement the study findings and fully generalize the study findings.

The study finding presents the need for engaging data producers in the process of data curation, preferably beginning in the early stages and encouraging them to work with curation professionals to ensure data management quality. The study finding also suggests the need for re-defining the boundaries of current curation work or collaborating with other professionals who can perform data quality assessment that is related to scientific and methodological rigor.

By analyzing theoretical concepts in empirical research and validating the factors of trust, this study fills this gap in the data reuse literature.

The purpose of this paper is to map the process of (social) valuing by people encountering built heritage in their daily environments. Value-based approaches are not well researched and formalized in Flemish policy context. New questions and issues are emerging in relation to values-based heritage management and the (adaptive) reuse of heritage within a context of spatial development and urban renewal practices. This paper firstly focus on what factors influence the process of (social) valuing, secondly on the hybrid character of the process and finally at the conflicts between the values frames of the different actors. This way it also inquires the potentials of participatory design supporting alternative regimes of care.

Within the research trajectory, the authors approached built heritage as a social construction and a social product, where there are as many stories as users. What heritage is and how heritage is dealt with, forms the basis of negotiation and valuation processes. An ethnographic approach was embarked on to get a grip on the socio-cultural significance of immovable property heritage in Flanders.

This paper describes the process of (social) valuing of by people encountering built heritage in their daily environments and offers an integrated conceptual framework for this kind of dynamic processes.

New questions and issues are emerging in relation to values-based heritage management and the (adaptive) reuse of heritage within a context of spatial development and urban renewal practices. This paper firstly focuses on what factors influence the process of (social) valuing, secondly on the hybrid character of the process and finally at the conflicts between the values frames of the different actors.

The purpose of this research is to investigate the factors that influence engineering researchers’ data reuse behaviours.

The data reuse behaviour model of engineering researchers was investigated by using a survey method. A national survey was distributed to engineering researchers in the USA, and a total of 193 researchers responded.

The results showed that perceived usefulness, perceived concerns and norms of data reuse have significant relationships with attitudes toward data reuse. Also, attitudes toward data reuse and the availability of data repositories were found to have significant influences on engineering researchers’ intention to reuse data.

This research used a combined theoretical framework by integrating the theory of planned behaviour (TPB) and the technology acceptance model (TAM). The combination of the TPB and the TAM effectively explained engineering researchers’ data reuse behaviours by addressing individual motivations, norms and resource factors.

This research has practical implications for promoting more reliable and beneficial data reuse in the engineering community, including encouraging positive motivations toward data reuse, building community norms of data reuse and setting up more data repositories.

As prior research on data reuse mainly used interviews, this research used a quantitative approach based on a combined theoretical framework and included diverse research constructs which were not tested in the previous research models. As one of the initial studies investigating data reuse behaviours in the engineering community, the current research provided a better understanding of data reuse behaviours and suggested possible ways to facilitate engineering researchers’ data reuse behaviours.

In debates about recycling and the circular economy, the role of existing organisations that already facilitate the circulation of materials through society can be neglected. Indeed, the social enterprise sector may currently be more significant than the commercial waste management sector in facilitating the circular economy within Australia. Drawing on interviews with organisations involved in collecting and reprocessing used electronics and scrap metal in Australia, the authors detail some of the synergies and tensions between the social enterprises and commercial organisations that have emerged as recycling gains traction through government policy and various forms of product stewardship. The authors conclude with suggestions for policy and governance approaches most likely to facilitate productive and perhaps symbiotic relationships between the two sectors in the future.

This research investigates how the availabilities of both metadata standards and data repositories influence researchers' data reuse intentions either directly or indirectly as mediated by the norms of data reuse and their attitudes toward data reuse.

The theory of planned behavior (TPB) was employed to develop the research model of researchers' data reuse intentions, focusing on the roles of metadata standards, data repositories and norms of data reuse. The proposed research model was evaluated using the structural equation modeling (SEM) method based on the survey responses received from 811 STEM (science, technology, engineering and mathematics) researchers in the United States.

This research found that the availabilities of both metadata standards and data repositories significantly affect STEM researchers' norm of data reuse, which influences their data reuse intentions as mediated by their attitudes toward data reuse. This research also found that both the availability of data repositories and the norm of data reuse have a direct influence on data reuse intentions and that norm of data reuse significantly increases the effect of attitude toward data reuse on data reuse intention as a moderator.

The modified model of TPB provides a new perspective in apprehending the roles of resource facilitating conditions such as the availabilities of metadata standards and data repositories in an individual's attitude, norm and their behavioral intention to conduct a certain behavior.

This study suggests that scientific communities need to develop more supportive metadata standards and data repositories by considering their roles in enhancing the community norm of data reuse, which eventually lead to data reuse behaviors.

This study sheds light on the mechanism of metadata standard and data repository in researchers' data reuse behaviors through their community norm of data reuse; this can help scientific communities and academic institutions to better support researchers in their data sharing and reuse behaviors.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2020-0431

Online travel agencies (OTAs) have been offering tourists trip planning services (TPS) for more than a decade. However, they are less popular than other online travel services such as metasearch with price comparison. This study aims to investigate why TPS on the internet, although important to tourists, are not well accepted by young mainland Chinese tourists.

A trip planning service acceptance model (TPSAM) was constructed and tested by inviting participants to take part in a trial using the TPS of a China OTA and then participants were asked to complete a questionnaire based on their user experience. Partial least square technique was used to perform a path analysis on the model.

Social influence and effort expectancy have significant direct influence on reuse intention. Social influence increases the trust level of the tourists on the TPS and effort expectancy’s strong influence on joy suggest that a joyful and effortless experience is critical for tourists to consider reusing the TPS.

The findings could provide some insight to the OTAs on improving their TPS. For instance, OTAs should let tourists feel that the TPS requires little effort and is fun to use and more promotion is needed through social media.

Although trip planning is essential for tourists in achieving a delightful travel experience, few studies have examined the adoption of Web-based TPS. This study contributes to the literature by establishing a TPSAM and extends previous work by showing that a causal relationship exists between social influence and trust in the service acceptance context.

线上旅游代理（OTA）已经十多年为游客提供旅游计划服务（TPS）。然而, OTA比其他在线旅游服务相较则受欢迎程度下降, 比如价格比对的元搜索服务。本论文旨在研究网络TPS, 即便对游客重要, 但是为什么不受中国大陆年轻游客的欢迎。

本论文通过邀请受访者参与中国OTA提供的旅游计划服务试点样品, 并完成针对他们的用户体验的问卷, 来开发和测验这个旅游计划服务接受模型（TPSAM）。本论文采用PLS分析法来测验模型。

社会影响和努力预期对再使用意图起到直接影响。社会影响增强了游客对TPS的信任度, 努力预期对愉悦感有强烈影响, 这预示着对于游客而言, 一个愉悦的且不太费劲的体验对于再次使用TPS起到关键作用。

本论文研究结果对于OTA增强其TPS起到启示作用。比如, OTA应该让游客感受TPS不需要费很多力气来学习使用并且使用过程很有趣, 此外, 通过社交媒体来增强更多宣传是有必要的。

尽管旅游计划对游客而言获得愉快旅游体验是必要的, 然而, 很少文章研究线上TPS使用现象。本论文建立了TPSAM, 对理论做出贡献, 并且本论文对之前的文献做出扩展, 验证了服务接受背景下社会影响和信任之间的直接联系。