scholarly journals IDENTIFY CRITICAL DATA DURING PRODUCT CUSTOMISATION – A CASE STUDY OF ORTHOSES FABRICATION

2020 ◽  
Vol 1 ◽  
pp. 413-422
Author(s):  
X. Tan ◽  
W. Chen ◽  
J. Cao ◽  
S. Ahmed-Kristensen
Keyword(s):  
Big Data ◽  
Protocol Analysis ◽  
High Volume ◽  
Data Driven ◽  
Verbal Protocol ◽  
Key Factors ◽  
Verbal Protocol Analysis ◽  
Critical Data ◽  
Fabrication Time

AbstractBig data provides high volume of data to inform product customisation. Understanding which data is relevant remains a challenge. A method is proposed to identify relevant data to inform data-driven customisation. A case study regarding customisation of orthoses was conducted. Verbal protocol analysis was employed to extract time spent on major fabrication phases. Data related to patients, therapists and fabrication time was analysed. Results showed that the number of stabilised joints, experience of therapists and whether the design is for in- or out-patient are key factors for customisation.

Job postings and the decision to interview: A verbal protocol analysis.

1993 ◽  
Vol 78 (5) ◽  
pp. 845-856 ◽  
Author(s):  
Alison E. Barber ◽  
Mark V. Roehling
Keyword(s):  
Protocol Analysis ◽  
Verbal Protocol ◽  
Verbal Protocol Analysis ◽  
Job Postings

Verbal Protocol Analysis Comes of Age

1985 ◽  
Vol 30 (5) ◽  
pp. 373-375
Author(s):  
Robert L. Mack
Keyword(s):  
Protocol Analysis ◽  
Verbal Protocol ◽  
Verbal Protocol Analysis

scholarly journals Digital Storytelling in Cultural Heritage: Audience Engagement in the Interactive Documentary New Life

2021 ◽  
Vol 13 (3) ◽  
pp. 1193
Author(s):  
Anna Podara ◽  
Dimitrios Giomelakis ◽  
Constantinos Nicolaou ◽  
Maria Matsiola ◽  
Rigas Kotsakis
Keyword(s):  
Cultural Heritage ◽  
Full Range ◽  
Social Dimension ◽  
Data Driven ◽  
Specific Interest ◽  
Key Factors ◽  
Audience Engagement ◽  
Main Research ◽  
The Social

This paper casts light on cultural heritage storytelling in the context of interactive documentary, a hybrid media genre that employs a full range of multimedia tools to document reality, provide sustainability of the production and successful engagement of the audience. The main research hypotheses are enclosed in the statements: (a) the interactive documentary is considered a valuable tool for the sustainability of cultural heritage and (b) digital approaches to documentary storytelling can provide a sustainable form of viewing during the years. Using the Greek interactive documentary (i-doc) NEW LIFE (2013) as a case study, the users’ engagement is evaluated by analyzing items from a seven-year database of web metrics. Specifically, we explore the adopted ways of the interactive documentary users to engage with the storytelling, the depth to which they were involved along with the most popular sections/traffic sources and finally, the differences between the first launch period and latest years were investigated. We concluded that interactivity affordances of this genre enhance the social dimension of cultural, while the key factors for sustainability are mainly (a) constant promotion with transmedia approach; (b) data-driven evaluation and reform; and (c) a good story that gathers relevant niches, with specific interest to the story.

Resource-Allocation Strategies: A Verbal Protocol Analysis

1998 ◽  
Vol 76 (1) ◽  
pp. 70-88 ◽  
Author(s):  
Christopher T Ball ◽  
Harvey J Langholtz ◽  
Jacqueline Auble ◽  
Barron Sopchak
Keyword(s):  
Resource Allocation ◽  
Protocol Analysis ◽  
Verbal Protocol ◽  
Verbal Protocol Analysis ◽  
Allocation Strategies

Improving Healthcare with Data-Driven Track-and-Trace Systems

2015 ◽  
pp. 65-82 ◽  
Author(s):  
Eldar Sultanow ◽  
Alina M. Chircu
Keyword(s):  
Quality Assurance ◽  
Big Data ◽  
Value Added ◽  
High Volume ◽  
Data Capture ◽  
Data Driven ◽  
Healthcare Organizations ◽  
Efficient Management ◽  
Internal Operations ◽  
Pharmaceutical Supply Chains

This chapter illustrates the potential of data-driven track-and-trace technology for improving healthcare through efficient management of internal operations and better delivery of services to patients. Track-and-trace can help healthcare organizations meet government regulations, reduce cost, provide value-added services, and monitor and protect patients, equipment, and materials. Two real-world examples of commercially available track-and-trace systems based on RFID and sensors are discussed: a system for counterfeiting prevention and quality assurance in pharmaceutical supply chains and a monitoring system. The system-generated data (such as location, temperature, movement, etc.) about tracked entities (such as medication, patients, or staff) is “big data” (i.e. data with high volume, variety, velocity, and veracity). The chapter discusses the challenges related to data capture, storage, retrieval, and ultimately analysis in support of organizational objectives (such as lowering costs, increasing security, improving patient outcomes, etc.).

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