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Delve helps users discover information across Office 365.

Delve helps users discover information across Office 365.

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By using examples from Gartner's 2015 "Magic Quadrant for Enterprise Content Management," this article offers a brief introduction to three ECM systems, provides examples of integrated solutions used by knowledge workers, and discusses the contributions records managers can make to support business processes.

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Context 1
... workers can personalize content across Office 365 from One Drive for Business, SharePoint Online, Exchange, Yammer, and more by using Office Delve as a personal portal. When a document or board of interest is found, it can be added to Delve as a favorite (see Figure 1 on page 20) so it can be returned to easily. ...

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Citations

... In recent years, many production case management (PCM) and adaptive case management (ACM) systems have been introduced with the goal of improving the efficiency and quality of knowledge work. Typically, one may find sentences like "Most knowledge workers spend their time in business applications like Salesforce." [1], "Due to [...] and the high degree of interactivity between knowledge workers [...]" [2], "If knowledge workers can rely on [...] they can provide simplified automated process fragments without worrying about all possible exceptions" [3]. Each of these articles may be right with their assumptions for their targeted users. ...
Chapter
In recent years, many production case management (PCM) and adaptive case management (ACM) systems have been introduced into the daily workflow of knowledge workers. In many research papers and case studies, the claims about the nature and requirements of knowledge work in general seem to vary. While choosing or creating a case management (CM) solution, typically one has the target knowledge workers and their domain-specific requirements in mind. But knowledge work shows a huge variety of modes of operation, complexity, and collaboration. We want to increase transparency on which features are covered by well-known and award-winning systems for different types of knowledge workers and different classes of systems. This may not unveil gaps between requirements and offered solutions, but it can uncover differences in solutions for varying user bases. We performed a literature review of 48 winners of the WfMC Awards for Excellence in Case Management from 2011 to 2016 and analyzed case studies in regard to targeted knowledge workers, advertised features, and type of system. Different types of knowledge workers showed a different bias on certain system types and features in regard to collaboration and variability of processes.
... ECM as constituting "strategies, methods and tools used to capture, manage, store, preserve and deliver content and documents related to organisational processes" (AIIM, 2010). Although the ECM concept is quite broad, in the majority of cases it has been used in the narrow sense of software applications used to manage information within organizations (Franks, 2016b;Koehler-Kruener, Chin, & Hobert, 2015). ECM software applications offer functional business services that include document management, document collaboration, records management and archiving, business process management (BPM) and workflow (including case management), electronic forms, and file synchronization, as well as imaging (Real Story Group, 2016, p. 2). ...
Chapter
There is increasing interest in maturity models dating back to the 1980s. A maturity model is a management tool designed to help organizations implement effective processes in a given management discipline. This chapter provides comparative assessment of three enterprise content management (ECM) maturity models that have been developed and implemented in different parts of the world. While the maturity model concept has existed for several decades, ECM maturity models are a more recent phenomenon. This study explores the theoretical foundations and functionality drawing lessons that could contribute to future developments. It outlines a history of maturity models and describes three ECM models developed in different parts of the world and compares the different levels and dimensions of maturity levels within the models. The chapter demonstrates that the different maturity models have varied naming conventions, different levels of complexity, and vary in the approach to maturity assessment.
Thesis
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With a focus on their pragmatic intention, speech acts have been proposed to improve the design of interactive systems for decades. Yet, early prototypes were isolated applications with limited inferencing capabilities. Alongside, the share of knowledge work in the workforce rapidly increased, and knowledge-intensive processes became customary. The objectives, interactions, intermediate results, and final outcomes of knowledge-intensive processes are typically scattered across many systems. Often, important information is not documented at all. Adaptive case management is intended for emerging, knowledge-intensive processes, where the course of action unfolds as more information becomes available. We apply speech act theory in adaptive case management, since the representation of interactions considers the context they are performed in, regardless of whether this context is a structured, semi-structured, or ad-hoc process. This common representation enables inference regardless of whether an interaction or activity is modeled a priori or documented ad hoc, and ultimately helps in resolving the issue of scattered process information that is loosely coupled by the knowledge workers performing the process. This thesis verifies that speech acts are prevalent and diverse in actual business processes. Moreover, it substantiates that a manageable set of common speech acts for modeling and ad-hoc documentation is applicable in representative knowledge work domains. It investigates the requirements and expectations of adaptive case management in a more fine-grained classification of the knowledge workers to be supported. This way, for complex work with high interdependence, it results in a speech-act-based approach of adaptive case management, that does not require a predefined process model for knowledge-intensive processes or cases. It initially expects activities to be ad hoc, and additional models to simplify or automate routine work can be introduced on demand. It establishes speech-act-based techniques for semantic annotation, modeling, and business rules for compliance monitoring as well as for integration. Thereby, the approach combines structured, semi-structured, and ad-hoc work, while providing guard rails, and line markings for one consolidated, knowledge-intensive process.