Knowledge is a broad and abstract notion that has defined epistemological debate in western philosophy since the classical Greek era. In the past few years, however, there has been a growing interest in treating knowledge as a significant organizational resource. Consistent with the interest in organizational knowledge and knowledge management (KM), IS researchers have begun promoting a class of information systems, referred to as knowledge management systems (KMS). The objective of KMS is to support creation, transfer, and application of knowledge in organizations. Knowledge and knowledge management are complex and multi-faceted concepts. Thus, effective development and implementation of KMS requires a foundation in several rich literatures.

/pdf/review-knowledge-management-and-knowledge-management-systems-1mpbigqrg8.pdf

Review: Knowledge management and knowledge management systems: conceptual foundations and research issues

Mother Nature knows best--How engineered organizations of the future will resemble natural-born systems.

Persuasive Technology: Using Computers to Change What We Think and Do

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intelligent Automated Assistant

In this article, we offer a broadened view of service innovation--one grounded in service-dominant logic--that transcends the tangible--intangible and producer--consumer divides that have plagued extant research in this area. Such a broadened conceptualization of service innovation emphasizes (1) innovation as a collaborative process occurring in an actor-to-actor (A2A) network, (2) service as the application of specialized competences for the benefit of another actor or the self and as the basis of all exchange, (3) the generativity unleashed by increasing resource liquefaction and resource density, and (4) resource integration as the fundamental way to innovate. Building on these core themes, we offer a tripartite framework of service innovation: (1) service ecosystems, as emergent A2A structures actors create and recreate through their effectual actions and which offer an organizing logic for the actors to exchange service and cocreate value; (2) service platforms, which enhance the efficiency and effectiveness of service exchange by liquefying resources and increasing resource density (facilitating easy access to appropriate resource bundles) and thereby serve as the venue for innovation; and (3) value cocreation, which views value as cocreated by the service offer(er) and the service beneficiary (e.g., customer) through resource integration and indicate the need for mechanisms to support the underlying roles and processes. In discussing these components, we consider the role of information technology--both as an operand resource and as an operant resource--and then examine the implications for research and practice in digitally enabled service innovation.

/pdf/service-innovation-a-service-dominant-logic-perspective-2n26bznkbg.pdf

Service innovation: a service-dominant logic perspective

Systems and methods are provided for receiving speech and non-speech communications of natural language questions and/or commands, transcribing the speech and non-speech communications to textual messages, and executing the questions and/or commands. The invention applies context, prior information, domain knowledge, and user specific profile data to achieve a natural environment for one or more users presenting questions or commands across multiple domains. The systems and methods creates, stores and uses extensive personal profile information for each user, thereby improving the reliability of determining the context of the speech and non-speech communications and presenting the expected results for a particular question or command.

Systems and methods for responding to natural language speech utterance

A system, method, and article of manufacture are provided for navigating an electronic data source by means of spoken language where a portion of the data link between a mobile information appliance of the user and the data source utilizes wireless communication. When a spoken input request is received from a user who is using the mobile information appliance, it is interpreted. The resulting interpretation of the request is thereupon used to automatically construct an operational navigation query to retrieve the desired information from one or more electronic network data sources, which is transmitted to the mobile information appliance.

Mobile navigation of network-based electronic information using spoken input

This essay compares activity theory (AT) with distributed cognition theory (DCOG), asking what each can do for CSCW. It approaches this task by proposing that theories – when viewed as conceptual tools for making sense of a domain – have four important attributes: descriptive powers rhetorical powers inferential powers and application power. It observes that AT and DCOG are not so different: both emphasize cognitions both include the social and cultural context of cognitions both share a commitment to ethnographically collected data. Starting with a description of the distributed cognition approach, it uses an example of a DCOG analysis to ground a discussion of the strengths and weaknesses of AT and DCOG as an approach to issues in CSCW. Finally, the essay considers what theoretical work is being done by the attributes of the respective theories, and whether AT, DCOG, or any theory developed outside the context of group work, will work for CSCW.

/pdf/activity-theory-and-distributed-cognition-or-what-does-cscw-20kns3xufq.pdf

Activity Theory and Distributed Cognition: Or What Does CSCW Need to DO with Theories?

A study was conducted to evaluate user performance and satisfaction in completion of a set of text creation tasks using three commercially available continuous speech recognition systems. The study also compared user performance on similar tasks using keyboard input. One part of the study (Initial Use) involved 24 users who enrolled, received training and carried out practice tasks, and then completed a set of transcription and composition tasks in a single session. In a parallel effort (Extended Use), four researchers used speech recognition to carry out real work tasks over 10 sessions with each of the three speech recognition software products. This paper presents results from the Initial Use phase of the study along with some preliminary results from the Extended Use phase. We present details of the kinds of usability and system design problems likely in current systems and several common patterns of error correction that we found.

/pdf/patterns-of-entry-and-correction-in-large-vocabulary-3n4cjiqfe1.pdf

Patterns of entry and correction in large vocabulary continuous speech recognition systems

A system, method, and article of manufacture are provided for navigating an electronic data source by means of spoken language where a portion of the data link between a mobile information appliance of the user and the data source utilizes wireless communication. When a spoken input request is received from a user, it is interpreted. The resulting interpretation of the request is thereupon used to automatically construct an operational navigation query. The navigation query is routed to one or more agents, which use the navigation query to retrieve the desired information from one or more electronic network data sources.

System, method, and article of manufacture for agent-based navigation in a speech-based data navigation system

A system, method, and article of manufacture are provided for navigating an electronic data source by means of spoken language When a spoken input request is received from a user, it is interpreted Additional input is solicited from the user in a modality different than the original request and used to refine the navigation query The resulting interpretation of the request is thereupon used to automatically construct an operational navigation query to retrieve the desired information from one or more electronic network data sources

Christine A. Halverson

Papers

Mobile navigation of network-based electronic information using spoken input

Activity Theory and Distributed Cognition: Or What Does CSCW Need to DO with Theories?

Patterns of entry and correction in large vocabulary continuous speech recognition systems

System, method, and article of manufacture for agent-based navigation in a speech-based data navigation system

Navigating network-based electronic information using spoken input with multimodal error feedback