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Full-Text Articles in Management Information Systems

Organizing For- And In- The Digital Age: A Case Of The Indian Banking Industry, Mayur Prataprai Joshi Jan 2021

Organizing For- And In- The Digital Age: A Case Of The Indian Banking Industry, Mayur Prataprai Joshi

Electronic Thesis and Dissertation Repository

For striving and thriving in the digital age, while firms are rushing to digitally transform their organizing practices as well as offerings, scholars are tasked with revisiting the assumptions of extant theories to unpack the phenomenon of organizing for- and in- the digital age. This thesis focuses on distinct facets of this phenomenon. In particular, I examine the firm strategies and work practices of practitioners in Indian banking and financial organizations (Essays 1, 2), as well as the work practices of academic researchers (Essay 3), as they engage with digital technologies.

The first essay elaborates on and tests the theory …


Changing The Focus: Worker-Centric Optimization In Human-In-The-Loop Computations, Mohammadreza Esfandiari Aug 2020

Changing The Focus: Worker-Centric Optimization In Human-In-The-Loop Computations, Mohammadreza Esfandiari

Dissertations

A myriad of emerging applications from simple to complex ones involve human cognizance in the computation loop. Using the wisdom of human workers, researchers have solved a variety of problems, termed as “micro-tasks” such as, captcha recognition, sentiment analysis, image categorization, query processing, as well as “complex tasks” that are often collaborative, such as, classifying craters on planetary surfaces, discovering new galaxies (Galaxyzoo), performing text translation. The current view of “humans-in-the-loop” tends to see humans as machines, robots, or low-level agents used or exploited in the service of broader computation goals. This dissertation is developed to shift the focus back …


Essays Of The Visual Effects On Online Human Decision-Making And Data Science Applications, Jian-Ren Hou Nov 2019

Essays Of The Visual Effects On Online Human Decision-Making And Data Science Applications, Jian-Ren Hou

Information Systems & Operations Management Dissertations

How human makes decisions online is an important research area in IS, many different techniques and online scenarios are used to probe into the related issues. In the first essay, this study investigates the crowdfunding platform. This study uses a deep neural network to extract the emotion metrics from the project images on the crowdfunding platform. The result shows that emotions in project images such as sadness and contentment can positively affect the performance of crowdfunding projects. This study also provides possible designs to change the emotions in the project images. In the second essay, this study investigates how to …


Data Science In Supply Chain Management: Data-Related Influences On Demand Planning, Yao Jin Aug 2013

Data Science In Supply Chain Management: Data-Related Influences On Demand Planning, Yao Jin

Graduate Theses and Dissertations

Data-driven decisions have become an important aspect of supply chain management. Demand planners are tasked with analyzing volumes of data that are being collected at a torrential pace from myriad sources in order to translate them into actionable business intelligence. In particular, demand volatilities and planning are vital for effective and efficient decisions. Yet, the accuracy of these metrics is dependent on the proper specification and parameterization of models and measurements. Thus, demand planners need to step away from a "black box" approach to supply chain data science. Utilizing paired weekly point-of-sale (POS) and order data collected at retail distribution …


Introduction To Data Science, Jeffrey M. Stanton Jan 2013

Introduction To Data Science, Jeffrey M. Stanton

School of Information Studies - Faculty Scholarship

In this Introduction to Data Science eBook, a series of data problems of increasing complexity is used to illustrate the skills and capabilities needed by data scientists. The open source data analysis program known as "R" and its graphical user interface companion "R-Studio" are used to work with real data examples to illustrate both the challenges of data science and some of the techniques used to address those challenges. To the greatest extent possible, real datasets reflecting important contemporary issues are used as the basis of the discussions.