The New Dynamics of Organizational Change

2019 ◽  
pp. 129-149
Author(s):  
Matthew S. Weber
Keyword(s):  
Organizational Change ◽  
News Media ◽  
New Technology ◽  
Academic Research ◽  
Large Data ◽  
The United States ◽  
Data Sets ◽  
Media Industry ◽  
And Control

Organizational change is well established as an important area of academic research. Across disciplines, from communication to sociology to management, scholars have produced a wide array of notable works examining various facets of organizational change. In recent years, however, advances in methodology and access to large data sets have opened up innovative avenues of research. This chapter examines new dynamics of organizational change, illustrated through a case study of the evolution of the news media industry in the United States. Many processes of organizational change are still based on traditional theories and established dynamics, but extant research and the present case study demonstrate that new technology and emergent patterns of communication lead to the development of new dynamics for coordination and control of information flow as organizations change over time. The chapter concludes with guidance and future directions for this evolving domain of scholarship.

scholarly journals Machine Learning Improves the Precision and Robustness of High-Content Screens

2011 ◽  
Vol 16 (9) ◽  
pp. 1059-1067 ◽  
Author(s):  
Peter Horvath ◽  
Thomas Wild ◽  
Ulrike Kutay ◽  
Gabor Csucs
Keyword(s):  
Machine Learning ◽  
User Interaction ◽  
Texture Features ◽  
Large Data ◽  
Complete Analysis ◽  
Data Sets ◽  
Reporter Protein ◽  
Fluorescent Intensity ◽  
Analysis Workflow

Imaging-based high-content screens often rely on single cell-based evaluation of phenotypes in large data sets of microscopic images. Traditionally, these screens are analyzed by extracting a few image-related parameters and use their ratios (linear single or multiparametric separation) to classify the cells into various phenotypic classes. In this study, the authors show how machine learning–based classification of individual cells outperforms those classical ratio-based techniques. Using fluorescent intensity and morphological and texture features, they evaluated how the performance of data analysis increases with increasing feature numbers. Their findings are based on a case study involving an siRNA screen monitoring nucleoplasmic and nucleolar accumulation of a fluorescently tagged reporter protein. For the analysis, they developed a complete analysis workflow incorporating image segmentation, feature extraction, cell classification, hit detection, and visualization of the results. For the classification task, the authors have established a new graphical framework, the Advanced Cell Classifier, which provides a very accurate high-content screen analysis with minimal user interaction, offering access to a variety of advanced machine learning methods.

scholarly journals THE PRACTICAL ACCOUNTING INFORMATION SYSTEM TO CONTROL AND TO MAINTAIN THE FUND EFFECTIVELY AT FOREIGN COMPANY (BASED ON A CASE STUDY)

2017 ◽  
Vol 10 (3) ◽  
pp. 375
Author(s):  
Sera Marettini
Keyword(s):  
Accounting Information ◽  
The United States ◽  
Accounting System ◽  
Bank Account ◽  
Accounting Information System ◽  
Head Office ◽  
Foreign Companies ◽  
On Line ◽  
And Control

The writer has observed how to maintain and to control cash effectively at one of foreign companies in Surabaya. It is applied for one of the companies which has a head office in the United States of America. The head office controls all financial things in Indonesia’s company due to the size of branch in Indonesia. The head office itself has many branches almost worldwide. There are some constraints to control the cash maintenance in this case; since a final controlling role will be performed by the head office and  an executor role will be performed by the branch, and both of them are separated for thousand miles away, no available on-line accounting system and the branch is not allowed to have a bank account by itself, the only similar thing is they utilize the same program for accounting system. The PCs used in the branch are stand-alone computers. Herewith the writer would like to share an applied system to minimize the mistakes and to smoothen the cash maintenance and control.

A Case of an IT-Enabled Organizational Change Intervention

2012 ◽  
pp. 190-212
Author(s):  
Bing Wang ◽  
David Paper
Keyword(s):  
Information Technology ◽  
Organizational Change ◽  
Change Management ◽  
New Technology ◽  
The Novel ◽  
New Paradigm ◽  
It Implementation ◽  
Perceived Change ◽  
Change Event

This case study documents an organizational change intervention concerning the implementation of a novel information technology at a university-owned research foundation (URF). It evidences the disparate expectations and reactions by key actors toward the change event, marking a mismatch between a new paradigm required by the new technology and existing information technology practices. Drawing upon change management and management information systems (MIS) literature, the authors discuss the perceived change management issues hindering the change process at URF. The discussion is tempered by a theoretical lens that attempts to integrate the literature bases drawn upon in this research. In particular, resistance from in-house IT specialists was observed as the strongest force obstructing the novel IT implementation. This study offers a forum to stimulate both researchers and practitioners to rethink the necessary elements required to enact change, especially with respect to novel IT implementations.

Blending Technology-Centric Strategies for Faculty Development in Higher Education

2017 ◽  
pp. 90-107
Author(s):  
Ute S. Lahaie ◽  
Jacqueline M. Mumford
Keyword(s):  
Higher Education ◽  
United States ◽  
New Technology ◽  
Education Institution ◽  
The United States ◽  
Faculty Members ◽  
Future Research ◽  
Learning Technology ◽  
Pedagogical Approaches

Many universities in the United States are working to incorporate innovative 21st century skills, new active learning pedagogical approaches, and technology. Creating new physical and virtual spaces requires agile faculty professional for technology-centric experiences. Designing and offering meaningful professional development to faculty members in new virtual and physical learning technology-centric environments is a challenge. This case study explores the journey of one higher education institution in the Midwest as they implemented new technology-centric strategies, initiatives, and support. Data from faculty participants indicate the program's success and establish an agenda for future research.

Factors Influencing Adoption of Information Technologies for Public Transportation Project Inspection: A WSDOT Case Study

2019 ◽  
Vol 2673 (2) ◽  
pp. 1-12
Author(s):  
Julian Yamaura ◽  
Stephen T. Muench ◽  
Kim Willoughby
Keyword(s):  
Organizational Change ◽  
Change Management ◽  
Public Transportation ◽  
Information Technologies ◽  
User Study ◽  
New Technology ◽  
Management Program ◽  
Lessons Learned ◽  
Structured Interviews

This paper presents a case study of the organizational change process associated with the Washington State Department of Transportation (WSDOT) year-long research program that implemented a cloud-based mobile project inspection application to 18 project engineering offices (PEO) across the state. Ultimately, four out of the 18 PEOs decided to adopt the new technology. Data from semi-structured interviews and a user study conducted two months after implementation are used to identify organizational change strategies used by WSDOT, and how those relate to ideas from the general literature on change management. The loss of upper management program leaders, inadequate communication and training to prepare personnel for the change, and policy and procedural uncertainties in integrating the change with other systems and operations were found to be factors that may have influenced the outcome of the program. While this paper focuses on one DOT’s efforts, other DOTs may have similar organizational structures and implementation efforts, and the findings and lessons learned could serve as a representative model for how such implementation might best be accomplished in a DOT and how that might differ from traditional change management guidance.

Emerging Pharmacotherapy and Health Care Needs of Patients in the Age of Artificial Intelligence and Digitalization

2020 ◽  
Vol 54 (10) ◽  
pp. 1038-1046
Author(s):  
Barbara J. Zarowitz
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Ethnic Diversity ◽  
Health Care Professionals ◽  
Large Data ◽  
The United States ◽  
Wearable Devices ◽  
Data Sets ◽  
Care Needs ◽  
Clinician Training

Advances in the application of artificial intelligence, digitization, technology, iCloud computing, and wearable devices in health care predict an exciting future for health care professionals and our patients. Projections suggest an older, generally healthier, better-informed but financially less secure patient population of wider cultural and ethnic diversity that live throughout the United States. A pragmatic yet structured approach is recommended to prepare health care professionals and patients for emerging pharmacotherapy needs. Clinician training should include genomics, cloud computing, use of large data sets, implementation science, and cultural competence. Patients will need support for wearable devices and reassurance regarding digital medicine.

scholarly journals Using Large Data Sets to Forecast House Prices: A Case Study of Twenty U.S. States

2011 ◽  
Vol 20 (2) ◽  
pp. 161-190 ◽  
Author(s):  
Rangan Gupta ◽  
Alain Kabundi ◽  
Stephen Miller
Keyword(s):  
House Prices ◽  
Large Data ◽  
Large Data Sets ◽  
Data Sets

Predictable policing: New technology, old bias, and future resistance in big data surveillance

2020 ◽  
Vol 26 (5-6) ◽  
pp. 1108-1124
Author(s):  
Xerxes Minocher ◽  
Caelyn Randall
Keyword(s):  
Big Data ◽  
Science And Technology Studies ◽  
New Technology ◽  
The United States ◽  
Surveillance Network ◽  
Predictive Policing ◽  
Sociotechnical System ◽  
Power And Control ◽  
Data Surveillance ◽  
And Control

Within this article, we explore the rise of predictive policing in the United States as a form of big data surveillance. Bringing together literature from communication, criminology, and science and technology studies, we use a case study of Milwaukee, Wisconsin, USA to outline that predictive policing, rather than being a novel development, is in fact part of a much larger, historical network of power and control. By examining the mechanics of these policing practices: the data inputs, behavioral outputs, as well as the key controllers of these systems, and the individuals who influenced their adoption, we show that predictive policing as a form of big data surveillance is a sociotechnical system that is wholly human-constructed, biases and all. Identifying these elements of the surveillance network then allows us to turn our attention to the resistive practices of communities who historically and presently live under surveillance – pointing to the types of actions and imaginaries required to combat the myth and allure that swirls around the rhetoric of big data surveillance today.

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