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The integration of internet of things (IoT) devices into daily life introduces challenges for the privacy of their users and those who are affected by these devices. This paper explores the factors that affect individual concerns regarding IoT use and how those factors affect the dynamics of privacy management with the presence of an IoT device.

Four focus groups of individuals and IoT experts were studied to understand the groups’ privacy concerns. The authors adopted a qualitative research method based on grounded theory to find relevant dimensions of situational privacy concerns in IoT use situations.

The results revealed that fourteen dimensions of individuals’ privacy concerns regarding the IoT are relevant and can be categorized under four key influential factors: collection, IoT device, collected data storage and use of collected data. The authors also analyzed the focus groups using genres of disclosure theory and explored how privacy concerns affect individual privacy management regulations.

This paper contributes to how future research can employ genres of disclosure as a theoretical framework to identify situations where privacy violations occur.

This study can assist service providers and IoT manufacturers in deriving design principles and decreasing concerns by addressing the information that must be communicated to their users.

As opposed to the previous research, which was more inclined to dispositional privacy concerns, this study provides insights into situational privacy concerns when individuals are confronted with the IoT. This study represents the first attempt to investigate the process individuals experience in managing their privacy.

Within digital innovation, there are two significant consequences of the pervasiveness of digital technology: (1) the increasing connectivity is enabling a wider reach and scope of innovation structures, such as innovation networks and (2) the unprecedented availability of digital data is creating new opportunities for innovation. Accordingly, there is a growing domain for studying data-driven innovation (DDI), especially in contemporary contexts of innovation networks. The purpose of this study is to explore how DDI processes take form in a specific type of innovation networks, namely federated networks.

A multiple case study design is applied in this paper. We draw our analysis from data collected over six months from four cases of DDI. The within-analysis is aimed at constructing the DDI process instance in each case, while the crosscase analysis focuses on pattern matching and cross-case synthesis of common and unique characteristics in the constructed processes.

Evidence from the crosscase analysis suggests that the widely accepted four-phase digital innovation process (including discovery, development, diffusion and post-diffusion) does not account for the explorative nature of data analytics and DDI. We propose an extended process comprising an explicit exploration phase before development, where refinement of the innovation concept and exploring social relationships are essential. Our analysis also suggests two modes of DDI: (1) asynchronous, i.e. data acquired before development and (2) synchronous, i.e. data acquired after (or during) development. We discuss the implications of these modes on the DDI process and the participants in the innovation network.

The paper proposes an extended version of the digital innovation process that is more specifically suited for DDI. We also provide an early explanation to the variation in DDI process complexities by highlighting the different modes of DDI processes. To the best of our knowledge, this is the first empirical investigation of DDI following the process from early stages of discovery till postdiffusion.

We present a new approach that shifts the leverage point of information systems development from problem orientation to opportunity development. Our approach, entitled FormIT, employs a careful focus on enhanced user involvement, concentrating on users as human beings, and attention to users’ needs as opposed to system requirements. As theoretical and methodological foundations, we build on the 4-D cycle model of Appreciative Inquiry and current research on needfinding. Our field experience demonstrates that FormIT shifts the systems development process from being reactive to being proactive, and in turn, enables a smoother implementation of inevitable change, particularly radical change. Moreover, FormIT stimulates the generation of rich local knowledge and helps reveal deep insights into the development process and the overall organization.

In this volume of Advances in Appreciative Inquiry, leading scholars from the fields of art, management, design, information technology, organization development, and education come together to chart new directions in Appreciative Inquiry theory and research as well as new intervention practices and opportunities for design in organizations. While diverse in topic and discipline, each of the following original chapters treats the reader to a view of Appreciative Inquiry's revolutionary way of approaching familiar questions of information and organization design and vice versa.

Within the ongoing digitalization of society and dimensions of integration, equality, citizen needs, sustainability and quality of life are of increasing importance as driving forces for cities to become smart. The purpose of this paper is to examine participatory management challenges in becoming a smart old town in the context of cultural heritage.

An explorative approach was applied on a qualitative single case study including in-depth interviews with 21 stakeholders representing local entrepreneurs, nonprofit organizations, the municipality, politicians, tourism organization and residents of an old town district in a Norwegian city. Additionally, participatory observations and document studies were performed. Findings were continuously validated with the respondents.

The present study contributes with stakeholder views on challenges arising from the development of a smart old town and suggests possible innovative solutions for participatory management. The transformation of a city with cultural heritage into a smart city require efforts that go beyond smart ICT implementations into issues of social sustainability.

The study brings forward the opportunities that lie in the dynamics of interaction between the spirit of cultural heritage and the body of participatory management. It con-tributes by responding to calls for further research to deepen the insights into stakeholder inclusion in cultural heritage-based city transformation. This explorative study has its limitations as it is based on one qualitative single case.

Participatory management insights and recommendations for smart city transformation are provided.

The study addresses socially sustainable outcomes to create democratic conditions that promote inclusion and community building by understanding what people need and expect from the place where they live and work.

This study is positioned as unique in terms of its complex nature of transforming an old town to become a smart old town based on cultural heritage and an open and coordinated inclusion of stakeholders. Smartness in context of city transformation is revealed in many dimensions ranging from technology-driven to more participant-driven.

The purpose is to develop a work-integrated learning (WIL) model for university-society research collaboration facilitating societal impact toward short lag yet sustainable societal impact for local innovation.

The methodology applied was engaged scholarship based on a WIL approach involving a network of collaborating partners from different sectors of society and cross-disciplinary university researchers. Mixed data collection methods were applied.

Conceptualization of university-society research collaboration for local innovation is presented as a WIL model including the elements of continuity and commitment, coordination, communication and relationships, trust, courage and creativity and co-creation opportunities. Short lag societal impact as local innovation was identified as product and process innovations.

Further validation of the model is encouraged for the model to be viable in various contexts and to generate different kinds of societal impact.

The model may act as a governing tool for project management to facilitate co-creative and short lag societal impact for local innovation to ensure that engaged and learning activities are embedded in the collaborative process.

The model has implications for inclusiveness and co-creation fostering transparency, respect and mutuality in university-society research collaboration and to equate both academic and practice knowledge.

The conclusions drawn support the understanding of a WIL approach practicing engaged scholarship in research collaborations. The main theoretical and practical contributions of the article are the conceptual model for university-society research collaboration generating short lag societal implications and local innovation.

This study aims to focus on living labs as a means of achieving radical innovation by discussing the differences in their network structure and its effect on the type of innovation outcome.

This research analyses 24 living labs in four countries using qualitative methods.

A specific network structure referred to as a distributed multiplex supports radical innovation in living labs, while distributed and centralized network structures support incremental innovations. Also, the results suggest that radical innovation depends on the driving actor and objectives in a living lab.

A bias on the perceived novelty of innovation may exist when analyzing data collected through interviews with a limited number of living lab participants compared to a large number of informants. This study proposes a two-dimensional framework based on the network structure to investigate innovation in living labs.

This paper offers a classification tool to identify, categorize and make sense of organizations’ participation in open innovation networks and in living labs.

The study provides evidence that, although the distributed multiplex network structure supports the emergence of radical innovations, the distributed and centralized network structures support incremental innovation. A combination of a provider- or utilizer-driven living lab and a distributed multiplex network structure, with a clearly defined and future-oriented strategic objective, offers good potential for radical innovation to occur.