Business Commons^™

Disruptive Technology: Can The Banking Industry Harness Disruption For Competitive Edge?, Edgar Low

MITB Thought Leadership Series

Disruptive innovation was identified as a phenomenon more than two decades ago by prominent Harvard scholar Clayton Christensen. So you may wonder why established industries are only now waking up to the prospect of digital transformation - the banking industry in particular.

Ua12/2/2 Talisman: Movement, Wku Student Affairs

WKU Administration Documents

2018 Talisman yearbook.

• Good, Hannah. Movement
• Kinser, Nicholas. Tunnel Trap
• Cozer, Claire. A Day in the Life of a Food Truck – Mike Wilson, Pop’s Street Eats
• Fletcher, Griffin. Beauty in Power – WKU Women’s Rugby Club
• Gordon, Zora. The Mixed Experience
• Hornsby, Morgan. Bonfire
• Waters, Adrianna. Mispoken – Communication Disorders
• Chu, Phi. Home Base – Jessica Barks
• Cooksey, Catrina. Rerouted – Sydney Clark, Austin Clark, Blake Perkins, Sheila Flener, Handicapped Persons
• Good, Hannah. Not Safe for Work – Prostitution
• Chu, Phi. Transfigured Night
• Carter, De’inara. Passing the Plate – International Students, Recipes
• Robb, Hayley. From Sole to Soul – …

Santa Clara Magazine, Volume 60 Number 1, Fall 2018, Santa Clara University

Santa Clara Magazine

24 - FOUND IN TRANSLATION The Pulitzer for editorial cartooning recognizes the tale of two Syrian refugee families. Here’s who translated their story. By Tracy Seipel and Tina Vossugh.

26 - LEGENDS OF THE COURT A pair of Bronco hoops legends: Steve Nash ’96, welcome to the Basketball Hall of Fame! Kurt Rambis ’80, on big-time break-ins—and a fan club like no other. Words by Mark Purdy and Sam Farmer. Illustrations by Victor Juhasz.

34 - A JOURNEY THROUGH THE HOLY LAND Israel, from a hazy gray sea to the House of Bread to the Hill of the Skull. Learning …

Can Maternity Benefits Have Long-Term Effects On Childbearing? Evidence From Soviet Russia, Olga Malkova

Economics Faculty Publications

This paper quantifies the effects of Russia’s 1981 expansion in maternity benefits on completed childbearing. The program provided one year of partially paid parental leave and a small cash transfer upon a child’s birth. I exploit the program’s two-stage implementation and find evidence that women had more children as a result of the program. Fertility rates rose immediately by 8.2% over twelve months. The increase in fertility rates not only persisted for the ten-year duration of the program, but it reflected large increases in higher-order births to older women who already had children before the program started.

I4s: Capturing Shopper’S In-Store Interactions, Sougata Sen, Archan Misra, Vigneshwaran Subbaraju, Karan Grover, Meeralakshmi Radhakrishnan, Rajesh K. Balan, Youngki Lee

Research Collection School Of Computing and Information Systems

In this paper, we present I4S, a system that identifies item interactions of customers in a retail store through sensor data fusion from smartwatches, smartphones and distributed BLE beacons. To identify these interactions, I4S builds a gesture-triggered pipeline that (a) detects the occurrence of “item picks”, and (b) performs fine-grained localization of such pickup gestures. By analyzing data collected from 31 shoppers visiting a mid-sized stationary store, we show that we can identify person-independent picking gestures with a precision of over 88%, and identify the rack from where the pick occurred with 91%+ precision (for popular racks).

Management Of It (Ksu), Rebecca Rutherfoord, Dawn Tatum, Susan Vandeven, Richard Halstead-Nussloch, James Rutherfoord, Zhigang Li

Computer Science and Information Technology Grants Collections

This Grants Collection for Management of IT was created under a Round Eleven ALG Textbook Transformation Grant.

Affordable Learning Georgia Grants Collections are intended to provide faculty with the frameworks to quickly implement or revise the same materials as a Textbook Transformation Grants team, along with the aims and lessons learned from project teams during the implementation process.

Documents are in .pdf format, with a separate .docx (Word) version available for download. Each collection contains the following materials:

• Linked Syllabus
• Initial Proposal
• Final Report

The Santa Clara, 2018-09-27, Santa Clara University

The Santa Clara

No abstract provided.

Research Innovation And Institutional Growth: Digital Humanities, Usm, And The University Of Maine System, Janet M. Billson, Katherine Bessey

Research Innovation and Institutional Growth

No abstract provided.

The Santa Clara, 2018-09-20, Santa Clara University

The Santa Clara

No abstract provided.

Minutes & Seconds: The Scientists, Patrick Aievoli

Zea E-Books Collection

Minutes & Seconds, is a captivating intelligible read for those who strive to understand where the “what if” moment has gone. Succeeding his other captivating books, Aievoli’s deep introspective lens dials his readers in to awaken the proverbial sleeping giant inside of our consciousness. He designs an insightful exciting romp through the surreal landscape of our society and illustrates how various pioneers have lead us to a crossroads. I’m truly impressed with Aievoli’s perspicacious comprehension of where digital has taken us through the hands of these select individuals. --Sequoyah Wharton

In creating Minutes & Seconds, Aievoli has assembled an interesting …

2019 Barley Variety Sowing Guide For Western Australia, Blakely Paynter, Georgia Trainor, Jeremy Curry

Bulletins 4000 -

This bulletin is designed as a reference to help determine which barley variety to grow in your region. It provides market feedback, relative grain yield and grain quality comparisons, disease ratings, agronomic information and herbicide tolerance ratings for all malt barley varieties segregated in Western Australia (WA), those in Stage 2 of malt accreditation with Barley Australia and selected feed varieties (Tables 1 to 11; Figures 1 to 16).

The decision whether to grow barley with a malt or feed classification depends on five main factors:

(1) Premium paid for different varieties when segregated.

(2) Relative grain yield of malt …

Blockchain Based Efficient And Robust Fair Payment For Outsourcing Services In Cloud Computing, Yinghui Zhang, Robert H. Deng, Ximeng Liu, Dong Zheng

Research Collection School Of Computing and Information Systems

As an attractive business model of cloud computing, outsourcing services usually involve online payment and security issues. The mutual distrust between users and outsourcing service providers may severely impede the wide adoption of cloud computing. Nevertheless, most existing payment solutions only consider a specific type of outsourcing service and rely on a trusted third-party to realize fairness. In this paper, in order to realize secure and fair payment of outsourcing services in general without relying on any third-party, trusted or not, we introduce BCPay, a blockchain based fair payment framework for outsourcing services in cloud computing. We first present the …

A Strategic Value Appropriation Path For Cloud Computing, Abhishek Kathuria, Arti Mann, Jiban Khuntia, Robert J. Kauffman

Research Collection School Of Computing and Information Systems

Cloud-based information management is one of the leading competitive differentiation strategies for firms. With the increasing criticality of information management in value creation and process support, establishing an integrated capability with cloud computing is vital for organizational success in the changing landscape of business competition. These issues have received scant attention, however. We draw on the resource-based view, dynamic capability hierarchy concepts, and the perspective of operand and operant resources to suggest a cloud value appropriation model for firms. We argue that, to appropriate business value from cloud computing, the firm needs to effectively deploy cloud computing and leverage cloud …

Talent Flow Analytics In Online Professional Network, Richard J. Oentaryo, Ee-Peng Lim, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo

Research Collection School Of Computing and Information Systems

Analyzing job hopping behavior is important for understanding job preference and career progression of working individuals. When analyzed at the workforce population level, job hop analysis helps to gain insights of talent flow among different jobs and organizations. Traditionally, surveys are conducted on job seekers and employers to study job hop behavior. Beyond surveys, job hop behavior can also be studied in a highly scalable and timely manner using a data-driven approach in response to fast-changing job landscape. Fortunately, the advent of online professional networks (OPNs) has made it possible to perform a large-scale analysis of talent flow. In this …

Breaking Down The Barriers To Operator Workload Estimation: Advancing Algorithmic Handling Of Temporal Non-Stationarity And Cross-Participant Differences For Eeg Analysis Using Deep Learning, Ryan G. Hefron

Theses and Dissertations

This research focuses on two barriers to using EEG data for workload assessment: day-to-day variability, and cross- participant applicability. Several signal processing techniques and deep learning approaches are evaluated in multi-task environments. These methods account for temporal, spatial, and frequential data dependencies. Variance of frequency- domain power distributions for cross-day workload classification is statistically significant. Skewness and kurtosis are not significant in an environment absent workload transitions, but are salient with transitions present. LSTMs improve day- to-day feature stationarity, decreasing error by 59% compared to previous best results. A multi-path convolutional recurrent model using bi-directional, residual recurrent layers significantly increases …

Cognitive Antecedents Of Family Business Bias In Investment Decisions: A Commentary On 'Risky Decisions And The Family Firm Bias: An Experimental Study Based On Prospect Theory, H. Fang, Keng Siau, E. Memili, J. Dou

Research Collection School Of Computing and Information Systems

Lude and Prügl explored “family business bias,” a cognitive tendency where the family nature of a firm can often reduce investors’ perceived risk in investments. As a result, investors would display lower risk-avoidance in the gain domain and reinforced risk-seeking in the loss domain. We expanded the authors’ work by introducing four cognitive factors (anchoring, representativeness, stereotype heuristic, and information availability) that can explain the underlying mechanisms behind the prevalence of “family business bias” and other cognitive misperceptions surrounding family businesses when it comes to investment decisions.

T12s, R3e, Blm Plat_321219_1 - Nov. 10, 1886 Survey

Township and Range Surveys - BLM

A Nov. 10, 1886, survey or plat reflecting the Township, Range and Sections of T12S, R3E, located in Monterey County, California, USA

T12s, R4e, Blm Plat_320707_1 - Apr. 29, 1867, Later Part Of San Benito County Survey

Township and Range Surveys - BLM

A Apr. 29, 1867, survey or plat reflecting the Township, Range and Sections of T12S, R4E, located in Monterey County, California, USA

T13s, R2e, Blm Plat_321083_1 - Nov. 21, 1883, Lots 1 & & Added As Swamp Land Totally 1,599.42 Acres Survey

Township and Range Surveys - BLM

A Nov. 21, 1883, survey or plat reflecting the Township, Range and Sections of T13S, R2E, located in Monterey County, California, USA

T13s, R2e, Blm Plat_321081_1 - Mar. 30, 1880, Dispute Over Lot 38, Part Of Rancho Rincon De Las Salinas Survey

Township and Range Surveys - BLM

A Mar. 30, 1880, survey or plat reflecting the Township, Range and Sections of T13S, R2E, located in Monterey County, California, USA

T13s, R2e, Blm Plat_321075_1 - May 14, 1867, Showing Tide Land On Elk Horn Slough Survey

Township and Range Surveys - BLM

A May 14, 1867, survey or plat reflecting the Township, Range and Sections of T13S, R2E, located in Monterey County, California, USA

T12s, R1e, Blm Plat_315531_1 - June 16, 1886, Reflecting Slough Cienega, Marsh & Sand Bluffs North Of The Mouth Of Pajaro River Survey

Township and Range Surveys - BLM

A June 16, 1886, survey or plat reflecting the Township, Range and Sections of T12S, R1E, located in Monterey County, California, USA

T12s, R3e, Blm Plat_321213_1 - July 19, 1867 Survey

Township and Range Surveys - BLM

A July 19, 1867, survey or plat reflecting the Township, Range and Sections of T12S, R3E, located in Monterey County, California, USA

T13s, R1e, Blm Plat_315533_1 - Jan. 7, 1929, Feb. 23, 1929, Showing Pajaro Valley Consolidated R.R. (Narrow Gauge) Survey

Township and Range Surveys - BLM

A Feb. 23, 1929, survey or plat reflecting the Township, Range and Sections of T13S, R1E, located in Monterey County, California, USA

T13s, R2e, Blm Plat_321077_1 - Aug. 28, 1872, Elk Horn Slough Now Shown As Swamp & Overflowed Land, 1,583.73 Acres Survey

Township and Range Surveys - BLM

A Aug. 28, 1872, survey or plat reflecting the Township, Range and Sections of T13S, R2E, located in Monterey County, California, USA

T13s, R3e, Blm Plat_321221_1 - July 19, 1867 Survey

Township and Range Surveys - BLM

A July 19, 1867, survey or plat reflecting the Township, Range and Sections of T13S, R3E, located in Monterey County, California, USA

T13s, R4e, Blm Plat_320711_1 - Apr. 24, 1867 Survey

Township and Range Surveys - BLM

A Apr. 24, 1867, survey or plat reflecting the Township, Range and Sections of T13S, R4E, located in Monterey County, California, USA

T12s, R2e, Blm Plat_321073_1 - Aug. 31, 1872, All Of Elkhorn Slough Now Swamp & Overflowed Lands, 980 Acres Survey

Township and Range Surveys - BLM

A Aug. 31, 1872, survey or plat reflecting the Township, Range and Sections of T12S, R2E, located in Monterey County, California, USA

T12s, R2e, Blm Plat_321069_1 - July 19, 1867, Reflecting Elkhorn Slough As Tide Land Up To Portion Of Sec. 27 To Sec. 25 Shown As Swamp & Overflowed Land Survey

Township and Range Surveys - BLM

A July 19, 1867, survey or plat reflecting the Township, Range and Sections of T12S, R2E, located in Monterey County, California, USA

Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels

SMU Data Science Review

In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …