Technology and Innovation Commons^™

Analysis Of The Challenges In The Planning And Implementation Of Lean Construction, Sultan Alsabi

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Science and Technology at Morehead State University in partial fulfillment of the requirements for the degree of Master of Science by Sultan Alsabi on December 1, 2020.

Contingency Planning Amidst A Pandemic, Natalie C. Belford

KSU Proceedings on Cybersecurity Education, Research and Practice

Proper prior planning prevents pitifully poor performance: The purpose of this research is to address mitigation approaches - disaster recovery, contingency planning, and continuity planning - and their benefits as they relate to university operations during a worldwide pandemic predicated by the Novel Coronavirus (COVID-19). The most relevant approach pertaining to the University’s needs and its response to the Coronavirus pandemic will be determined and evaluated in detail.

Contracting Mechanisms For Stable Sourcing Networks, Jennifer K. Ryan, Lusheng Shao, Daewon Sun

Department of Supply Chain Management and Analytics: Faculty Publications

Problem definition: We study profit allocation for a sourcing network, in which a buyer sources froma set of differentiated suppliers with limited capacity under uncertain demand for the final product. Whereas the buyer takes the lead in forming the sourcing network and designing the contract mechanism, due to their substantial bargaining power, the suppliers take the lead in determining the terms of the contract. Academic/practical relevance: We identify contracting mechanisms that will ensure the stability of the sourcing network in the long term, where a stable sourcing network requires an effective profitallocation scheme that motivates all members to …

Tree-Based Algorithm For Stable And Efficient Data Clustering, Hasan Aljabbouli, Abdullah Albizri, Antoine Harfouche

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

The K-means algorithm is a well-known and widely used clustering algorithm due to its simplicity and convergence properties. However, one of the drawbacks of the algorithm is its instability. This paper presents improvements to the K-means algorithm using a K-dimensional tree (Kd-tree) data structure. The proposed Kd-tree is utilized as a data structure to enhance the choice of initial centers of the clusters and to reduce the number of the nearest neighbor searches required by the algorithm. The developed framework also includes an efficient center insertion technique leading to an incremental operation that overcomes the instability problem of the K-means …

Made In The Usa: Technological Corporatism, Infrastructure Regulation, And Dupont 1902-1917, Roman Y. Shemakov

Swarthmore Undergraduate History Journal

The turn of the twentieth century radically renewed industrial organization across the United States. Early American corporations -- centralized manufacturing hubs with journeymen and apprentices laboring under one roof -- were seldom prepared for the transformations that scientific management and structural reorganization would bring to social relations. At the helm of World War 1, DuPont became the epitome of broader national restructuring. Through a close relationship with American military industries and legislatures, the DuPont brothers came to represent Business as an inseparable component of the State. While labor historiography has primarily focused on organizers’ relationship with regulators, important segments of …

Qlime-A Quadratic Local Interpretable Model-Agnostic Explanation Approach, Steven Bramhall, Hayley Horn, Michael Tieu, Nibhrat Lohia

SMU Data Science Review

In this paper, we introduce a proof of concept that addresses the assumption and limitation of linear local boundaries by Local Interpretable Model-Agnostic Explanations (LIME), a popular technique used to add interpretability and explainability to black box models. LIME is a versatile explainer capable of handling different types of data and models. At the local level, LIME creates a linear relationship for a given prediction through generated sample points to present feature importance. We redefine the linear relationships presented by LIME as quadratic relationships and expand its flexibility in non-linear cases and improve the accuracy of feature interpretations. We coin …

Value Innovation Activities In The Wireless Telecommunications Service Sector: A Case Study Of The Malaysian Market, Mohammed A. Hajar, Daing Nasir Ibrahim, Mohd Ridzuan Darun, Mohammed A. Al-Sharafi

Journal of Global Business Insights

Innovation has become an important source of growth and survival for the telecom industry, especially with the highly competitive, dynamic business environment of this sector. The telecom market attributes of liberalization, privatization and globalization result in fierce competition, which aggravates telecom firms’ challenges to expand their market share, and hence, increase customer base, sales volume, and ultimately profit. A new strategy to succeed is innovation differentiation, which leads to breaking out the competition and creating uncongested market space. The aim of this paper is to highlight the logic of value innovation in the wireless telecom sector. A qualitative research approach …

Determinants Of Startup Funding: The Interaction Between Web Attention And Culture, Jie Ren, Viju Raghupathi, Wullianallur Raghupathi

Journal of International Technology and Information Management

Technology empowers entrepreneurs to pursue alternative funding through platforms like crowdfunding. This research explores significant startup funding factors using Crunchbase. Controlling for common factors (acquisition/funding-rounds/IPO), the research uniquely focuses on web attention - the visibility on social media - and its impact on funding. It also examines the moderating influence of startup’s home country culture (individualism/collectivism). Findings show stronger positive impact of web attention on startup funding for collectivist countries. While individualistic investors value personal goals, collectivists value collaborative goals - inclinations that align with crowdfunding behavior. Therefore while increasing web attention, crowdfunding efforts can be targeted towards collectivist countries.

Evaluating Students Information System Success Using Delone And Mclean’S Model: Student’S Perspective, Majaliwa Mkinga, Herman Mandari

Journal of International Technology and Information Management

System success is considered to be an important element in accomplishing the goals of the organization; therefore evaluation of system success needs to be done in order to ensure that investment in Information System is successful. Most of Higher Learning Institutions (HLIs) in Tanzania have adopted the use of IS in providing service to their customers. Nevertheless, there is less evidence that system success evaluation has been done in order to identify the desired characteristics which could make IS more effective. Due to that, this study evaluates the effectiveness of Student Information System (SIS) used at the Institute of Finance …

An Integrated View Of Data: Application Of Knowledge Modeling To Data Management, Sung-Kwan Kim, Wenjun Wang

Journal of International Technology and Information Management

Data management has become an important challenge. Good data management requires an effective approach to collecting, storing, and accessing data across the enterprise. In this paper, a knowledge modeling approach to data management is introduced with an emphasis on data requirements analysis. A knowledge model can provide a high-level view of organizational data by specifying the structure and relationships of the knowledge contents used in business processes. The proposed knowledge modeling approach is business process oriented and decision oriented. The description of the knowledge contents in the model is based on ontological specification. The model is comprised of five elements: …

Inducing Compliance With Post-Market Studies For Drugs Under Fda’S Accelerated Approval Pathway, Liang Xu, Hui Zhao, Nicholas C. Petruzzi

Department of Supply Chain Management and Analytics: Faculty Publications

Problem definition: In 1992, FDA instituted the accelerated approval pathway (AP) to allow promising drugs to enter the market based on limited evidence of efficacy, thereby permitting manufacturers to verify true clinical benefits through post-market studies. However, most postmarket studies have not been completed as promised. We address this non-compliance problem.

Academic/Practical Relevance: The prevalence of this non-compliance problem poses considerable public health risk, thus compromising the original purpose of a well-intentioned AP initiative. We provide an internally consistent and implementable solution to the problem through a comprehensive analysis of the myriad complicating factors and tradeoffs facing FDA.

Methodology: We …

The Impact Of E-Commerce On The Development Of Entrepreneurship In Saudi Arabia, Khulood Al-Mani

Journal of International Technology and Information Management

This paper is based on a Ph.D. study investigating the critical challenges facing e-commerce adoption by entrepreneurs in Saudi Arabia, identifying the major driving factors, barriers, motivations, perceived advantages, potential problems and some practical solutions as well as future expectations from entrepreneurs’ perspectives. From the study findings, a set of practical recommendations were derived for the government, entrepreneurs and investors in Saudi Arabia to consider, to promote ecommerce entrepreneurship in the county.

The research was undertaken using a qualitative approach. Data collection techniques involved in-depth, semi-structured interviews, with (1) e-commerce entrepreneurs, and (2) government authorities, educational initiatives and private support …

Blockchain Adoption Model For The Global Banking Industry, Zaina Kawasmi, Evans Akwasi Gyasi, Deneise Dadd

Journal of International Technology and Information Management

Blockchain has become the new hype term in the business world for the last decade. Due to the new technology’s characteristics and innovative applications, it is being adopted globally in a wide number of industries including the banking industry, yet no adoption model is provided to guide this process. This research aims to contribute to facilitating the successful adoption and implementation of the blockchain new technology in the banking industry. Building on the assumption that the blockchain’s adoption in banking will be directed by the regulations and best practices guidelines of the global banking regulatory bodies and practitioner, this research …

Table Of Contents Jitim Vol 29 Issue 1, 2020

Journal of International Technology and Information Management

Table of contents

To Close The Skills Gap, Technology And Higher-Order Thinking Skills Must Go Hand In Hand, Manying Qiu, Yaquan Xu, Emmanuel O. Omojokun

Journal of International Technology and Information Management

Technology is rapidly changing the business landscape. Workforce skills gap is widening in the digital business environment. Universities and employers call for developing students’ higher-order thinking skills along with integrating technology into academic curricula. We conducted a survey to assess learning outcomes from two groups of undergraduate students: business majors and information technology (IT) majors. SAP ERP hands-on case studies were used for this comparative experiment. The student survey results showed that the students of both majors believed that learning SAP software can lead to more rewarding jobs and they felt confident about their competitiveness in the job market. Although …

Assessing The Influence Of Self-Efficacy On The Acceptance Of Mobile Phone Technology Within The Smes, Renatus Michael Mushi

Journal of International Technology and Information Management

Mobile phone technologies have proved to provide a significant transformation in performing various activities within companies, especially in least developed regions. Mobile phones provide opportunities for employees of organisations to work any time and anywhere. SMEs comprise of employees who perform multitasking job roles due to their small in size and low financial capabilities and most cases, some of them work remotely from their main offices.

Self-Efficacy is a belief that the user has enough skills to use technology to perform a task at hand. This is one of the factors influencing of acceptance of technologies at the workplaces such …

Table Of Contents Jitim Vol 29 Issue 3, 2020

Journal of International Technology and Information Management

Table of contents

Inventory Sharing And Demand-Side Underweighting, Hui Zhao, Liang Xu, Enno Siemsen

Department of Supply Chain Management and Analytics: Faculty Publications

Problem definition: Transshipment/inventory sharing has been used in practice because of its risk-pooling potential. However, human decision makers play a critical role in making inventory decisions in an inventory sharing system, which may affect its benefits. We investigate whether the opportunity to transship inventory influences decision makers’ inventory decisions and whether, as a result, the intended risk-pooling benefits materialize.

Academic/practical relevance: Previous research in transshipment, which is focused on finding optimal stocking and sharing decisions, assumes rational decision making without any systematic bias. As one of the first to study inventory sharing from a behavioral perspective, …

Table Of Contents Jitim Vol 29 Issue 2, 2020

Journal of International Technology and Information Management

Table of contents

Machine Learning Using Instruments For Text Selection: Predicting Innovation Performance, Kian Guan Lim, Michelle S. J. Lim

Research Collection Lee Kong Chian School Of Business

In machine learning we utilize the idea of employing instrumental variable such as patent records to train the texts. Patent records are highly correlated with R&D expenditures, but are not necessarily correlated with performance residuals not linked to R&D. Thus, using instrumental patent records to train word counts of selected texts to serve as a proxy for firm R&D expenditure, we show that the texts and associated word counts provide effective prediction of firm innovation performances such as firm market value and total sales growth.

Intelligent Software Tools For Recruiting, Swatee B. Kulkarni, Xiangdong Che

Journal of International Technology and Information Management

In this paper, we outline how recruiting and talent acquisition gained importance within HRM field, then give a brief introduction to the newest tools used by the professionals for recruiting and lastly, describe the Artificial Intelligence-based tools that have started playing an increasingly important role. We also provide further research suggestions for using artificial intelligence-based tools to make recruiting more efficient and cost-effective.

Determinants Of Cloud Computing Intentions To Use: Role Of Firm’S Size, Managerial Structure And Industrial Sector, Shailja Tripathi

Journal of International Technology and Information Management

Currently many companies are adopting cloud computing to accomplish their diverse purposes and to create an elastic and responsive environment that can rapidly respond to new business requirements. This paper attempts to investigate the factors influencing cloud computing adoption from the managerial perspective with inclusion of size of firm, organizational structure and type of industry as control variables. The model is developed with various technological, economic and cognitive factors that affect the behavioral intention to use cloud computing using technology acceptance model (TAM).Questionnaires were randomly distributed to around 1000 senior managers of various firms in India. Hierarchical multiple regression (HMR) …

Table Of Contents Jitim Vol 28 Issue 2, 2019

Journal of International Technology and Information Management

Table of Contents JITIM 2, 2019

A Longitudinal Analysis Of The Impact Of The Indicators In The Networked Readiness Index (Nri), Satya Pratipatti, Ahmed Gomaa

Journal of International Technology and Information Management

World Economic Forum publishes the Networked Readiness Index (NRI) annually, to reflect the Information and Communication Technology (ICT) status of different countries. The NRI is developed by aggregating 53 indicators. The study identifies the most critical indicators to focus on, to improve the NRI status of countries at different stages of economic development. It uses data from 117 countries and analyzes the changes in the indicators along with their impacts between the years 2012 and 2016. The study explores the differences between countries by grouping them into four groups based on their NRI status. The analysis identifies six indicators with …

Investigating Consumer Satisfaction Towards Mobile Marketing, Dr Surabhi Singh

Journal of International Technology and Information Management

The extensive applications of mobile phones are visible in global companies for the marketing of their products. The popularity of mobile marketing is increasing considerably. This paper has provided insights into the perspectives of consumer attitude towards mobile marketing in India. The companies will develop an understanding of how mobile marketing influence consumer attitudes. The scale of measurement used for Attitudes was Likert scale and explained the consumer's behavior towards mobile marketing. The factors identified through the study will provide insights into Consumer buying behavior via mobile platforms. The analytical tool SPSS has been used for analysis by using methods …

Crude Oil Price Prediction With Decision Tree Based Regression Approach, Engu Chen, Xin James He

Journal of International Technology and Information Management

Crude oil is an essential commodity for industry and the prediction of its price is crucial for many business entities and government organizations. While there have been quite a few conventional statistical models to forecast oil prices, we find that there is not much research using decision tree models to predict crude oil prices. In this research, we develop decision tree models to forecast crude oil prices. In addition to historical crude oil price time series data, we also use some predictor variables that would potentially affect crude oil prices, including crude oil demand and supply, and monthly GDP and …

The Use Of Generic Scripting In Certain Application Development Projects, Vance Allen Etnyre, Jian Denny Lin, Nanfei Sun

Journal of International Technology and Information Management

This article discusses generic scripting, a useful scripting technology for developing applications. In its simplest use, generic scripting can be used as a documentation tool to replace flowcharting or pseudocode. in certain situations, generic scripting can lead directly to a working application without the need to write, compile and test a new program. Generic scripting is discussed as a tool which can be used in logical design, detailed design and implementation of a new application. An example is presented to show how generic scripting can be used by non-programmers to simplify the development of applications. This example is used to …

College Choice Criteria Utilizing Conjoint Analysis Enabled On A Saas Platform, Alison Munsch

Journal of International Technology and Information Management

College enrollments and low to moderate household incomes are stagnating while tuition costs are increasing. The New York State Legislature enacted the nation’s first tuition-free degree program, the Excelsior Scholarship, designed to make a college education more affordable to middle class families. This legislation can impact what institution of higher education students will choose upon high school graduation. In order to understand the choice criteria for selecting an institution of higher education, a research study was conducted among a representative sample of high school upper classmen and parents of this respondent segment. The data collection and analysis were accomplished using …

Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater

SMU Data Science Review

The problem of forecasting market volatility is a difficult task for most fund managers. Volatility forecasts are used for risk management, alpha (risk) trading, and the reduction of trading friction. Improving the forecasts of future market volatility assists fund managers in adding or reducing risk in their portfolios as well as in increasing hedges to protect their portfolios in anticipation of a market sell-off event. Our analysis compares three existing financial models that forecast future market volatility using the Chicago Board Options Exchange Volatility Index (VIX) to six machine/deep learning supervised regression methods. This analysis determines which models provide best …

Dynamic Pricing Of Wireless Internet Based On Usage And Stochastically Changing Capacity, Demet Batur, Jennifer K. Ryan, Zhongyuan Zhao, Mehmet C. Vuran

Department of Supply Chain Management and Analytics: Faculty Publications

(1) Problem Definition: Inspired by new developments in dynamic spectrum access, we study the dynamic pricing of wireless Internet access when demand and capacity (bandwidth) are stochastic. (2) Academic / Practical Relevance: The demand for wireless Internet access has increased enormously. However, the spectrum available to wireless service providers is limited. The industry has thus altered conventional license- based spectrum access policies through unlicensed spectrum operations. The additional spectrum obtained through these operations has stochastic capacity. Thus, the pricing of this service by the service provider has novel challenges. The problem considered in this paper is therefore of high practical …