In recent years, interaction designers have actively started addressing sustainability as a research topic. More specifically, persuasive applications, which aim at promoting pro-environmental behaviour, such as energy saving have been of growing interest in multiple research disciplines. Driven by the proliferation of smart meters and energy monitors as well as the rise of social media, researchers and designers of persuasive applications have developed a wide range of design solutions that address this issue. The majority of them, however, provide the same information to users irrespective of differences in their environmental concerns and different motivations to conserve energy. Our research addresses this gap. We design mock-up screens that provide feedback catering towards different pro-environmental values and concerns and ask users to evaluate them in a survey setting. The research aims at understanding what feedback different people find relevant and therefore attempts to bridge the gap between environmental psychology and HCI. At the same time it provides insights for the design of personalised eco-feedback related to energy consumption.

Social connectedness is an indicator of the extent to which people can realize various network benefits and is therefore a source of social capital. Using the case of Twitter, a theoretical model of social connectedness based on the functional and structural characteristics of people's communication behavior within an online social network is developed and tested. The study investigates how social presence, social awareness, and social connectedness influence each other, and when and for whom the effects of social presence and social awareness are most strongly related to positive outcomes in social connectedness. Specifically, the study looks at the concurrent direct and moderating effect of two structural constructs characterizing people's online social network: network size and frequency of usage. The research model is tested using data (n = 121) collected from two sources: (a) an online survey of Twitter users and (b) their usage data collected directly from Twitter. Results indicate that social awareness, social presence, and usage frequency have a direct effect on social connectedness, whereas network size has a moderating effect. Social presence is found to partially mediate the relationship between social awareness and social connectedness. The findings of the analysis are used to outline design implications for online social networks from a human-computer interaction perspective.

PurposeCoordination in supply chains and networks calls for information sharing among the members of the supply chain. Accordingly, information visibility – the availability of relevant information for making supply chain related decisions is an important concept in the context of supply chain management. The purpose of this paper is to identify the different dimensions of information visibility and propose a framework based on these information visibility dimensions. The proposed framework can be used to evaluate supply chain information systems (SCIS) and their contribution towards information visibility in supply chains.Design/methodology/approachUsing the proposed framework, we compare two different SCIS (SAP APO and SupplyOn) to assess the extent to which these systems meet the information visibility needs within supply chains and networks. In order to carry out the comparison, data regarding the two systems in collected using multiple methods such as from system documentations, training sessions, interviews with experts and systems engineers.FindingsThe findings indicate that both systems perform well in terms of supporting information visibility, however they serve different purposes within supply chains and networks. Based on the findings, the authors discuss the role of different types of SCIS depending on the characteristics of adopting firms and their supply chains, and how the use of these different systems can complement each other. The research and practical implications of this study are discussed in the overall context of supply chain management.Originality/valueThe framework can be used by organizations to assess the extent to which relevant information is accessible within their supply chains and to select from various SCIS solutions that are available. This research advances understanding on ways of achieving information visibility.

Errors in spreadsheets pose a serious problem for organizations and academics. This has resulted in ongoing efforts to devise measures for reducing errors or efficient ways of correcting them. Visualization tools are often advertised as means for improving spreadsheet error correction performance. This study investigates the role of visualization tools in spreadsheet error correction. For this purpose, this study proposes a framework for classifying activities associated with spreadsheet error correction. The framework is to highlight the activities that are important for correcting different types of spreadsheet errors, and to show how different visualization tools can aid error correction by effectively supporting these activities. By identifying "chaining" as one of the most important activities from the framework, this study uses cognitive fit theory to examine the effects of a visualization tool that supports chaining on spreadsheet error correction performance. Experimental methodology is used to test the outcome of cognitive fit between the error correction task and the visualization tool. The results of the experiment highlight the importance of cognitive fit between the type of task and the visualization tool for attaining better performance. This study also provides guidelines for designing and developing tools for spreadsheet error correction.

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