Based on the search forest for positive programs as defined by Bol and Degerstedt, we define a tabulation-based framework that is sound and complete (when floundering does not occur) w.r.t. the well-founded semantics. In contrast to SLS-resolution as proposed by Przymusinski and by Ross, a positivistic computation rule is not required. Moreover, unlike SLG-resolution due to Chen and Warren, our proposal relies on tabulation for both positive and negative recursion without losing the clear separation of the search space from search strategies. In particular, the newly proposed search forest is finite for nonfloundering functor-free programs.

The presented research has investigated empirically the current practices of how organizations are using CI today, and in particular what role collaboration and networking plays in such CI work processes. In particular, the investigation has examined what forms of collaborations and organizational networks are currently used in the CI work process. Four organizations have been examined as exploratory case studies. From this, a base model for social CI has been generated by extracting overall CI process characteristics from the investigated cases that relate to collaborative behavior and organizational networking. The study relies on the existing conceptual framework called the social CI framework intended for analysis and design of CI for the (socially) networking organization.

This article introduces the notion of social competitive intelligence, meaning competitive intelligence (CI) for the networking organization. A novel socio-technical framework called the Social CI Framework (SCIF) is presented, intended for analysis and design of social CI processes, methods and tools. By using a socio-technical perspective, both social and technical aspects are considered together in SCIF. The framework is founded on theory related to enterprise 2.0 and wikinomics, and is intended to be used to study social CI using principles such as openness, participation, sharing and co-creation. The presented results are based on a literature review and an exploratory study with interviews of CI experts from Swedish organizations. SCIF explicitly distinguishes between task-oriented models and collaboration models, and models of different socio-technical perspectives. Moreover, SCIF uses the mechanisms of socio-technical themes and a socio-technical value map that relate the theoretical and empirical characteristics with the SCIF modeling method.

 This article introduces the notion of social competitive intelligence, meaning competitive intelligence (CI) for the networking organization. A novel socio-technical framework called the Social CI Framework (SCIF) is presented, intended for analysis and design of social CI processes, methods and tools. By using a socio-technical perspective, both social and technical aspects are considered together in SCIF. The framework is founded on a theory related to enterprise 2.0 and wikinomics, and is intended to be used to study social CI using principles such as openness, participation, sharing and co-creation. The presented results are based on a literature review and an exploratory study with interviews of CI experts from Swedish organizations. SCIF explicitly distinguishes between task-oriented models and collaboration models, and models of different socio-technical perspectives. Moreover, SCIF uses the mechanisms of socio-technical themes and a socio-technical value map that relate the theoretical and empirical characteristics with the SCIF modeling method.

The aim of the presented work has been to investigate how the existing concept of social CI can be used to support collaborative CI networks. A novel socio-technical solution CoCI consisting of a work method and tool have been designed for a scenario with an internal network of collaborative competitive intelligence (CI). The CoCI work method suggests using agile, freeform collaboration through an informal organizational network. A distinction is made between the roles of network coordinators, contributors, clients and receivers. The work style follows regular temporal iterative loops, or sprints, each one ending in some form of intelligence outcome. The CoCI tool supports collaborative daily work with reading, commenting and classifying incoming material, where the actions of the network members are visible to each other. Furthermore, the CoCI tool supports having meetings using the tool where incoming material from the sprint is reviewed and a report is created. In the evaluation of the tool, the dimensions engagement, collaboration and community had high scores. In contrast, the dimension simplicity was less satisfactory. Four design patterns for social CI could be extracted based on the strong points of the evaluation: social selection, individual/collective box, real-time engagement and collaborative enhancement. The low score on simplicity will be investigated further, but indicates how crucial it is for social features to be intuitive in order to avoid making the overall solution too complex.

The purpose of this article is to address some challenges facing media intelligence in general, and competitive intelligence in particular within an altered information landscape. To understand this new situation, the notion of social and multimodal media intelligence are introduced. With cases taken primarily from the Swedish media intelligence sector, we argue that data driven media intelligence today needs to pay increasing attention to new forms of (A.) crowd-oriented and (B.) multimedia-saturated information. As a subcategory of media intelligence, competitive intelligence refers to the gathering of publicly available information about an organisation or a company’s competitors—using it to gain business advantages. Traditionally such intelligence has implied a set of techniques and tools that transforms numerical or textual data into useful information for business analysis. Today, however, we argue that such techniques need to consider media alterations in both a social and multimodal direction. Our analysis hence offers a conceptual understanding of a rapidly evolving field, were methods used within media intelligence need to change as well. By presenting some findings from the so called CIBAS-project, we describe how Swedish organisations and companies rely on social networking structures and individual decision making as a means to increase rapid response and agile creativity. If competitive intelligence was traditionally based on insights gleaned from statistical methods, contemporary media analytics are currently faced with audiovisual data streams (sound, video, image)—often with a slant of sociality. Yet, machine learning of other media modalities than text poses a number of technical hurdles. In this article we use fashion analytics as a final case in point, taken from a commercial sector where visual big data is presently in vogue.

Denna rapport syftar till att inventera de utmaningar och möjligheter som före­tagarna i Stockholms skärgård står inför. Rapporten har skrivits inom ramen för Interreg-projektet Archipelago Business Development och omfattar en inventering av skärgårdsföretagarnas behov, utmaningar och möjligheter i Stockholms skär­gård.

Undersökningen har bland annat gjorts genom gruppintervjuer med företagare på Dalarö, Ornö, Sandhamn och Utö. Därutöver har enskilda in­ter­vjuer genomförts med företagare i fem olika kommuner. Geo­grafiskt fördelas urvalet på Stockholms södra och mellersta skärgård.

By conducting a comparative qualitative and systematic study of the local (island) pre-conditions for creating sustainable socio-economic development through entrepreneurship, here defined as a process of identifying, evaluating, and exploiting entrepreneurial opportunities, this study aims to shed light on entrepreneurial responses to challenges and opportunities on three islands in the Stockholm Archipelago and how context influences these responses.