5,491 research outputs found
The reflective learning continuum: reflecting on reflection
The importance of reflection to marketing educators is increasingly recognized. However, there is a lack of empirical research which considers reflection within the context of both the marketing and general business education literature. This paper describes the use of an instrument which can be used to measure four identified levels of a reflection hierarchy: habitual action, understanding, reflection and intensive reflection and two conditions for reflection: instructor to student interaction and student to student interaction. Further we demonstrate the importance of reflective learning in predicting graduatesâ perception of program quality. Although the focus was on assessment of MBA level curricula, the findings have great importance to marketing education and educators
Shades of Grey: guidelines for working with the grey literature in systematic reviews for management and organizational studies
This paper suggests how the âgrey literatureâ, the diverse and heterogeneous body of material that is made public outside, and not subject to, traditional academic peer-review processes, can be used to increase the relevance and impact of management and organization studies (MOS). The authors clarify the possibilities by reviewing 140 systematic reviews published in academic and practitioner outlets to answer the following three questions: (i) Why is grey literature excluded from/included in systematic reviews in MOS? (ii) What types of grey material have been included in systematic reviews since guidelines for practice were first established in this discipline? (iii) How is the grey literature treated currently to advance management and organization scholarship and knowledge? This investigation updates previous guidelines for more inclusive systematic reviews that respond to criticisms of current review practices and the needs of evidence-based management
Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure
Big data research has attracted great attention in science, technology,
industry and society. It is developing with the evolving scientific paradigm,
the fourth industrial revolution, and the transformational innovation of
technologies. However, its nature and fundamental challenge have not been
recognized, and its own methodology has not been formed. This paper explores
and answers the following questions: What is big data? What are the basic
methods for representing, managing and analyzing big data? What is the
relationship between big data and knowledge? Can we find a mapping from big
data into knowledge space? What kind of infrastructure is required to support
not only big data management and analysis but also knowledge discovery, sharing
and management? What is the relationship between big data and science paradigm?
What is the nature and fundamental challenge of big data computing? A
multi-dimensional perspective is presented toward a methodology of big data
computing.Comment: 59 page
Data-driven Culture: A Transformational Framework
In the context of digital transformation, having a data-driven organizational culture has been recognized as an important factor for data analytics capabilities, innovativeness and competitive advantage of firms. However, the current literature on data-driven culture (DDC) is fragmented, lacking both a synthesis of findings and a theoretical foundation. Therefore, the aim of this work has been to develop a comprehensive framework for understanding DDC and the mechanisms that can be used to embed such a culture in organizations as well as structuring prior dispersed findings on the topic. Based on the foundation of organizational culture theory, we employed a Design Science Research (DSR) approach using a systematic literature review and expert interviews to build and evaluate a transformation-oriented framework. This research contributes to knowledge by synthesizing previously dispersed knowledge in a holistic framework, as well as, by providing a conceptual framework to guide the transformation towards a DDC
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An Observatory Framework for Metropolitan Change: Understanding Urban Social-Ecological-Technical Systems in Texas and Beyond
In Texas and elsewhere, the looming realities of rapid population growth and intensifying
effects of climate change mean that the things we rely on to liveâwater, energy, dependable
infrastructure, social cohesion, and an ecosystem to support themâare exposed to unprecedented
risk. Limited resources will be in ever greater demand and the environmental stress from prolonged
droughts, record-breaking heat waves, and destructive floods will increase. Existing long-term
trends and behaviors will not be sustainable. That is our current trajectory, but we can still change
course. Significant advances in information communication technologies and big data, combined
with new frameworks for thinking about urban places as socialâecologicalâtechnical systems, and
an increasing movement towards transdisciplinary scholarship and practice sets the foundation
and framework for a metropolitan observatory. Yet, more is required than an infrastructure for
data. Making cities inclusive, safe, resilient, and sustainable will require that data become actionable
knowledge that change policy and practice. Research and development of urban sustainability and
resilience knowledge is burgeoning, yet the uptake to policy has been slow. An integrative and holistic
approach is necessary to develop e ective sustainability science that synthesizes different sources of
knowledge, relevant disciplines, multi-sectoral alliances, and connections to policy-makers and the
public. To address these challenges and opportunities, we developed a conceptual framework for
a âmetropolitan observatoryâ to generate standardized long-term, large-scale datasets about social,
ecological, and technical dimensions of metropolitan systems. We apply this conceptual model in
Texas, known as the Texas Metro Observatory, to advance strategic research and decision-making at
the intersection of urbanization and climate change. The Texas Metro Observatory project is part of
Planet Texas 2050, a University of Texas Austin grand challenge initiative.ArchitectureOffice of the VP for Researc
Hybrid modeling to support the smart manufacturing: concepts, theoretic contributions and real-case applications about Hybrid and Wisdom-based Systems
L'abstract Ăš presente nell'allegato / the abstract is in the attachmen
Reducing Medication Errors in the Acute Care In-Patient Setting: An Integrative Review
Promoting a culture of safety in healthcare organizations has become a necessary goal to ensure that patients are safe, well cared for, and satisfied with the services they receive. One of the areas recognized as a major safety concern across hospitals in the United States and abroad are medication errors, which continue to occur at a staggering rate. This integrative review seeks to serve two purposes to combat this pandemic problem. First, the project will attempt to determine if an appropriate intervention or strategic initiative exists that can reduce medications errors for adult patients on an acute care patient unit in an inpatient hospital setting. Second, will be to disseminate and implement the identified cluster of interventions at a healthcare organization in central Virginia, and follow the data trends to determine its effectiveness
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