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The purpose of this paper is to explore a class of social information systems which are purposefully designed to address wider social objectives. Specifically, the paper investigates the embedding of ICTs into the wider networks of social policy action and explores issues associated with the integration of social information systems into complex problem domains.

A case study of a social information system and its integration into networks of actors with an interest in the underlying social concern is presented. The system under analysis is first described in terms of the emerging characteristics used to define this class of social information system. The wider policy network in which the social information system is implemented is then described and the integration of the social information system into the wider network is discussed.

The case study illustrates that for complex social problems, there can be multiple interests embedded in an ecology of sub-networks. Each sub-network can make use of the social information system in different ways which creates difficulties in the social information system gaining sufficient legitimacy to be institutionalised into the wider policy network.

The paper extends understanding of social information systems by proposing that a class of social information systems are developed to pursue human benefit. Recognising the context in which these systems are integrated as an ecology of interests, shifts the focus of social information systems design from examining the requirements of a relatively homogenous community of actors to understanding how social information systems can be developed to enable information exchange within and across heterogeneous communities.

A behavioural approach to information retrieval system design is outlined based on the derivation of a behavioural model of the information seeking patterns of academic social scientists. The information seeking patterns of a variety of academic social scientists were broken down into six characteristics: starting, chaining, browsing, differentiating, monitoring, and extracting. These characteristics constitute the principal generic features of the different individual patterns, and together provide a flexible behavioural model for information retrieval system design. The extent to which these characteristics are available on existing systems is considered, and the requirements for implementing the features on an experimental system are set out.

Social library systems are Web 2.0 sites where users discover interesting books, movies, and music, etc., collect these resources to their personal libraries, and share their collections with others. The purpose of this study is to identify the information seeking modes adopted by users in this context as well as to reveal the characteristics of the users who are dominated by each mode.

An online survey was conducted to capture the background and behavior data of regular users from Douban, the most influential Chinese‐language social library system. The “friend‐of‐a‐friend” recruitment technique resulted in a total of 129 responses, 112 of which were valid and analyzed to generate both descriptive and inferential statistics.

Searching, browsing, encountering, and monitoring are the four major information seeking modes adopted by social library system users. The majority of the users tend to combine two or more modes, but each user has a dominating one that helps define him/her as a searcher, browser, encounterer, or monitor. While searching is the most widely adopted mode, browsers are the most prevalent type of information seekers. Different information seekers do not demonstrate significantly different characteristics by and large, however with some exceptions.

This study is one of the first to investigate how users look for resources in social library systems, a problem neglected by previous studies mostly focusing on how users organize and tag resources. The research findings enrich our understanding of social library systems as diverse and dynamic information seeking environments. This in turn will provide useful implications for their interface design to more effectively address the needs and expectations of special types of information seekers.

Social commerce (SC) is a new genre in electronic commerce (e-commerce) that has great potential. This study proposes a new research framework to address deficiencies in existing social commerce research frameworks (e.g. the information model).

In the era of Industrial Revolution 4.0 technologies and new social commerce (s-commerce) models, the authors believe that there is an immediate need for a new research framework. The authors analysed the progress of the s-commerce paradigm between 2003 and 2023 by applying longitudinal science mapping. The authors then developed a research framework based on the themes in the strategic diagrams and evolution map.

From 2003 to 2010, studies on s-commerce mainly focused on social networking sites, virtual communities, social shopping and analytic approaches. From 2011 to 2015, it shifted to s-commerce, consumer behaviour, Web 2.0, artificial intelligence, social technologies, online shopping, user studies, data gathering methods, applications, service-based social commerce constructs, e-commerce and cognitive factors. Social commerce remained the primary research paradigm from 2017 to 2023.

The SC framework may be analogous to popular research frameworks such as technology-organisation-environment (T-O-E) and stimulus-organism-response (S-O-R). Based on this SC framework, researchers may gain a better understanding by determining the factors of the social, commercial, technological and behavioural dimensions.

The authors redefined s-commerce and developed an SC framework. Practical guidelines for the SC framework and an exemplary research model are presented. Overall, this study offers a new research agenda for the extant understanding of s-commerce, with the SC framework as the next frontier of the theoretical advancements and applications of s-commerce.

Controversial information systems (IS) represent a unique context in which certain members of a user's social circle may endorse the use of a system while others object to it. The purpose of this paper is to explore the simultaneous and often conflicting roles of such positive and negative social influences through social learning and ambivalence theories in shaping user adoption intention of a representative case of controversial IS, namely online dating services (ODS).

The model was tested with two empirical studies using structural equation modeling techniques. The data of these studies were collected from 451 (Study 1) and 510 (Study 2) single individuals (i.e. not in a relationship).

(1) Positive social influence has a stronger impact on perceived benefits and adoption intention, while negative social influence exerts a greater impact on perceived risks; (2) positive and negative social influences affect adoption intention toward ODS differently, through benefit and risk assessments; and (3) ambivalence significantly negatively moderates the effects of social influences on adoption.

This study enriches and extends the IS use, ambivalence theory, prospect theory, and social learning theory research streams. Furthermore, this study suggests that it is necessary to focus on not only the oft-considered positive but also negative social influences in IS research.

Most studies in electronic government (e-government) sustainability focus on the role of specific actors (stakeholders such as government employees or citizens) in sustaining an e-government project. However, such actors may not have sufficient resources to support e-government sustainability by themselves and must collaborate across different departments and stakeholders to sustain e-government projects. This paper aims to take a social systems theory perspective on sustainable local e-government, where actors cooperate and coordinate in a social system to leverage resources for e-government sustainability in local government contexts in developing countries.

This paper is an interpretive study of two local e-government case studies based on in-depth interviews with local government information technology (IT) managers, local leaders and staff. Data analysis based on constructivist grounded theory is used to understand the role of a social system in sustaining e-government systems in local governments in developing countries.

The original social system theory was developed for industry initiatives and adapted for public organisations in this paper. The unique characteristics of the public sector and e-government innovation are used to identify new components of the social system related to local e-government. Local e-government is sustained through a collaboration between actors in a social system to leverage resources and reduce challenges.

While this is an exploratory study, the cases show that the use of a social system theory consisting of institutional, management, social and economic components requires multiple lenses for investigation. This is a challenging process because it requires different areas of knowledge to carry out the research. The challenges may influence the overall outcome of this study. In addition, the two cases may generate limited insight and experiences as this study was carried out within two local governments in Indonesia. The findings may not provide a strong basis for generalization to other contexts.

This study offers guidance to local government IT departments to improve collaboration in a social system between local actors (such as political, managers and staff) while implementing and using e-government systems.

Sustainable local e-government requires all actors to coordinate and cooperate in a social system to reduce financial, political and technical challenges.

This paper offers new insight into how a local government collaborates in a social system to realize sustainable e-government systems. Collaborating in a social system reduces common challenges and leverages resources to support e-government sustainability.

Examines how important social and technical choices become part of the history of a computer‐based information system (CBIS). Argues that CBIS should be developed in terms of their social, as well as their information‐processing characteristics. Demonstrates that developing CBIS as an institutional system is important because: the useability is more critical than the technology; a well‐used CBIS with a stable structure is more difficult to replace than an unstable, ill‐used one; and CBIS vary from one social setting to another. Illustrates with a case study of a failed attempt at conversion.

This study focused on the impact of misinformation on social networking sites. Through theorizing and integrating literature from interdisciplinary fields such as information behavior, communication and relationship management, this study explored how misinformation on Facebook influences users' trust, distrust and intensity of Facebook use.

This study employed quantitative survey research and collected panel data via an online professional survey platform. A total of 661 participants in the USA completed this study, and structural equation modeling (SEM) was used to test the theoretical model using Amos 20.

Based on data from an online questionnaire (N = 661) in the USA, results showed that information trustworthiness and elaboration, users' self-efficacy of detecting misinformation and prescriptive expectancy of the social media platform significantly predicted both trust and distrust toward Facebook, which in turn jointly influenced users' intensity of using this information system.

This study contributes to the growing body of literature on information and relationship management and digital communication from several important aspects. First, this study disclosed the underlying cognitive psychological and social processing of online misinformation and addressed the strategies for future system design and behavioral intervention of misinformation. Second, this study systematically examined both trust and distrust as cognitive and affective dimensions of the human mindsets, encompassed the different components of the online information behavior and enriched one’s understanding of how misinformation affected publics' perceptions of the information system where it appeared. Last but not least, this study advanced the relationship management literature and demonstrated that a trustful attitude exerted a stronger influence on the intensity of Facebook use than distrust did.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2020-0130

Information systems have been heralded as indispensible tools for enhancing the performance of human services and producing positive outcomes for people (Poertner and Rapp, 1988). Such systems can play an important role in the processes of formulating social policy, planning, and programming. This role includes the identification of social issues and their formulation, goal clarification, the identification of priorities and alternatives in these processes, and in social monitoring and evaluation (Berman, 1985). In contradistinction to the political aspect of decision‐making, information systems aid in bringing about rationalization of the decision‐making process in the public policy sphere (Welrich, 1985). The effective use of information systems, however, is dependent upon the accessibility of the system to the decision‐maker during the decision‐making process. The place of the decision‐maker in the administrative structure determines the type of information he needs and its mode of application. The value of the information system in decision‐making is contingent upon the relevance of the information in content and in being available at the right time.