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Full-Text Articles in Entire DC Network
Online Shopping Non-Adoption In South Africa: A Distrust-Centric Framework Integrating Social Exchange, Trust Transfer, And Social Presence Theories, Cleopatra Moipone Matli, Jeevarathnam P. Govender
Online Shopping Non-Adoption In South Africa: A Distrust-Centric Framework Integrating Social Exchange, Trust Transfer, And Social Presence Theories, Cleopatra Moipone Matli, Jeevarathnam P. Govender
Journal of Marketing and Consumer Behaviour in Emerging Markets
Online shopping non-adoption remains critically underexplored, especially in emerging markets. Addressing this gap, the authors develop and test a distrust-centric framework that applies the inhibitory logic of social exchange, trust transfer, and social presence theories to explain pre-emptive avoidance. Focusing on South Africa, where only 18.16% of the population engage in e-commerce, data was collected from 414 consumers who have never shopped online. Structural equation modelling reveals that perceived lack of reciprocity directly increases the intention of non-adoption. Moreover, distrust in online payment systems transfers to broader channel scepticism, which in turn drives avoidance. Perceived lack of social presence further …
Unveiling The Power Of Credibility: How Virtual Influencers Shape Consumer Attitudes And Purchase Intentions In Fashion, Danita Van Heerden, Jade L. Verbeek
Unveiling The Power Of Credibility: How Virtual Influencers Shape Consumer Attitudes And Purchase Intentions In Fashion, Danita Van Heerden, Jade L. Verbeek
Journal of Marketing and Consumer Behaviour in Emerging Markets
Artificial intelligence (AI) is at the forefront of influencer marketing, particularly in the fashion industry. Consequently, brands are using virtual influencers (VIs) to engage consumers in this space. Yet little is known about VIs’ credibility and their influence on purchase intentions, especially in an emerging market where they are less prevalent. This study examines the influence of VIs’ credibility (i.e., trustworthiness, attractiveness, and expertise) on consumers’ attitudes towards VIs and the subsequent impact on purchase intention for fashion products in South Africa, grounded in the Source Credibility Theory. Data were collected from active social media users using non-probability convenience and …
Generating A Bond Option Binomial Tree Model In Excel, Tom Arnold, C. Mitchell Conover, Joseph Farizo, Nancy Tran
Generating A Bond Option Binomial Tree Model In Excel, Tom Arnold, C. Mitchell Conover, Joseph Farizo, Nancy Tran
Finance Faculty Publications
We demonstrate how to adjust the Katolay, Williams, and Fabozzi (1993) binomial tree model for pricing option-embedded bonds to have separate binomial trees for the forward rate process and for the component bond prices (actual bond prices or derived from a yield curve). This reduces computational complexity at a given node within a single binomial tree. Further, the calibration method is performed on “spine” values for the forward rate binomial tree, which is more consistent with the actual forward rates that are utilized as initial values in the calibration process. The entire model is produced in Excel and uses new …
Ceo Succession Planning Challenges In Hospitality Industry Smes: A Conceptual Framework And Literature Review, Denise Mazzei
Ceo Succession Planning Challenges In Hospitality Industry Smes: A Conceptual Framework And Literature Review, Denise Mazzei
Journal of Fundamental & Applied Business Research
In small to medium enterprise (SME) hospitality organizations, some CEOs overlook succession planning as a strategic imperative. This article presents a conceptual framework and literature review of a study that identified issues and potential contributors to the problem of challenges some leaders face with CEO succession planning in hospitality organizations. Currently, in the leadership literature, there is not a study that examines the problem especially as it relates to the hospitality industry. The literature was examined in alignment with three concepts that cascaded from the problem: a) succession planning leads to organization sustainability, b) SME CEOs manage organization strategic vision, …
Exploring The Role Of Emotional Intelligence Within Effective Leadership And Employee Empowerment, Angelique Limongelli
Exploring The Role Of Emotional Intelligence Within Effective Leadership And Employee Empowerment, Angelique Limongelli
Journal of Fundamental & Applied Business Research
The following research concept was selected to examine the role and impact emotional intelligence has in conjunction with the challenges leaders face in reaching mission objectives. These roles and aspects were examined within the context of the United States Coast Guard, specifically how that plays out within both enlisted and officer leadership. The participants were grouped into three categories: junior enlisted personnel, senior enlisted personnel, and officers of various types of commissions. Many similarities were established based on categorization. For example, junior enlisted members largely favored teamwork, while officers largely felt unsupported and unempowered over the course of their careers. …
The Lack Of Employee Financial Wellness Programs, Janell Symone Elliott
The Lack Of Employee Financial Wellness Programs, Janell Symone Elliott
Journal of Fundamental & Applied Business Research
This applied research was conducted to fill a gap in knowledge between research studies that show how financial stress can impact productivity and the use of employee financial wellness programs (EFWPs) as an opportunity to promote financial well-being. The research used a single case study design. A research question and three sub-questions were drawn to provide a basis for inquiry to attempt to answer how EFWPs play a role within the workplace and how they relate to productivity and morale. A conceptual research framework was created to define the problem’s clear conditions and determine how this case study was connected …
Virtual Workplace And Employee Engagement, Victoria Cox, Alisa Allen
Virtual Workplace And Employee Engagement, Victoria Cox, Alisa Allen
Journal of Fundamental & Applied Business Research
This article examined virtual workplace employees and employee engagement challenges and solutions. Employees who work remotely often feel disconnected from coworkers, organizational missions, and have a feeling of emotional isolation. This article examined the problems organizations face when not prioritizing virtual socialization for remote workers, leading to employee turnover, disengagement, and loneliness. The systematic review consisted of conducting a review within the Liberty University Jerry Falwell Library, encompassing empirical studies sourced from ProQuest, EBSCO, Emerald, and Gale databases. Studies published in peer reviewed journals, and the BibleGateway online between 2021 and 2026. A total of 33 journals were synthesized to …
Generation Z At Work: Generational Differences In Workplace Motivation And Satisfaction, Tammy Brown, Euclid Tan
Generation Z At Work: Generational Differences In Workplace Motivation And Satisfaction, Tammy Brown, Euclid Tan
Journal of Fundamental & Applied Business Research
Although Generation Z is rapidly entering the workforce, organizations often lack empirical data on satisfaction and motivational drivers and instead rely on subjective assessments that limit strategic insight. This study examines whether workplace satisfaction and motivation differ meaningfully across generations or whether these patterns are better explained by demographic factors such as race and values-based identity. Using two repeated cross-sectional surveys conducted in Fall 2024 and Spring 2025 (N = 323), respondents completed 14 items from the Minnesota Satisfaction Questionnaire along with demographic and compensation related measures. Results revealed that race and the age × race interaction were stronger predictors …
Do Complex Models Matter? Evidence From Multiclass Machine Learning Models In Credit Outlook Prediction, Rashmi Malhotra, Davinder K. Malhotra, Robert Nydick, Nathan Coates
Do Complex Models Matter? Evidence From Multiclass Machine Learning Models In Credit Outlook Prediction, Rashmi Malhotra, Davinder K. Malhotra, Robert Nydick, Nathan Coates
College of Business Faculty Papers
This research explores whether boosting model complexity enhances the forecasting of corporate financial outlook in a multiclass credit outlook setup. Instead of viewing distress as simply a yes-or-no result, companies are divided into negative, neutral, and positive outlook categories to better reflect shifting credit conditions. The study evaluates a parametric baseline against several nonlinear classifiers—including ensemble, kernel-based, and similarity-driven approaches—while applying a consistent validation process and statistical testing. On average, nonlinear models outperform the linear specification in terms of out-of-sample accuracy and provide more homogeneous classification across the three outlook categories. Importantly, they substantially improve the identification of firms with …
Assessing Youtube Finance Influencers: Guidance Or Hype For Generation Z?, Alyse Alfred
Assessing Youtube Finance Influencers: Guidance Or Hype For Generation Z?, Alyse Alfred
DU Undergraduate Research Journal Archive
This study evaluates the content of YouTube finance influencers (finfluencers) to assess whether they provide overly promotional advice or can help improve the low financial literacy of Generation Z. A total of 407 videos sampled using the nine knowledge areas tested in the TIAA Institute Personal Finance Index (P-Fin Index) were analyzed using Structural Topic Modeling (STM). Eight topics were observed in the videos, ranging from general literacy to emergency planning. Comparing the observed topics to the P-Fin Index categories showed that finfluencers address six of the nine key areas of financial literacy, with gaps in the coverage of long-term …
Du Undergraduate Showcase Abstracts: Research, Scholarship, And Creative Works, Sophia Wismar, Henry Staats, Allison Metzler, Chloe Puckett, Rachel Levine, Christa Kilpatrick, Scott Wolf, Joe Walsh, Grace Doolittle, John Engebreston, Zoe Lopez, Christopher Aaby, Audrey Duff, Timothy Sisk, Katelyn Lamberton, Angela Narayan, Gilkah Argueta, Habiba Samir, Girena Tesfazghi, Genet Kenore, Sinit Tesfamariam, Effley Brooks, Abi Newell, Megan Doherty, Natalie Baer, Lexi Blood, Talya Riciputi, Jessica Jimenez, Devin Hernandez, Lynn Clark, Taj Kumar, Sunil Kumar, Allen Rutman, Mira Pronobis, Tess Carson, Anna Sher, Frankie Stroud, Tamra Pearson D'Estree, Alyssa Wilson, Emily Melnick, Jenalee Doom, Yihang Gao, Gwendolyn Geiger, Noah Gettle, Scott Nichols, Clare Ayoub, Cara Dienno, Sunny Walker, Zoe Hansen, Maya Wheeler, Addison Rice, Patrick Martin, Sanjana Acharya, Daniel Mcintosh, Amanda Mckellips, Calli Cain, Justin Blake, Peter Sokol-Hessner, Natalie Miller, Max Weisbuch, Sophia Dellota, John Macikas, Charlotte Snow, Mark Siemens, Zoe Lynch, Alex Huffman, Prachi Shah, Jason Roney, Halcyon Levi, Nicole Herzog, Andrea Koly, Daniel Linseman, Annie London, Xi Yang, Avery Zwisler, Jane Smith, Chaz Contag, Michael Kerwin, Lucy Rand, Grace Schroeder, Michelle Rozenman, Nissa Tapper, Guiming Zhang, Mateo Mazariego-Halpern, Keith Meyer, Julie Do, Dakota Park-Ozee, Travis Herink, Kara Neu, Jonathan Plomin, Eve-Odine Duchaufour, Debbie Gale Mitchell, Tennyson Anderson-Stricklin, Lily Treitz, Samantha Rosenberger, Sierra Griffith, Finley Joseph, Daniel Sampson, Emmy Davis, Skyler Kasnoff, Evon Lopez, Vivian Nguyen, Cassy Young, Franklin Sellner, Martin Tobon, Ila Graham, Zach Billings, Holden Hedit, Decatur Boland, Paul Kosempel, Cory Chandler, Jay Mahoney, Sam Dragan, Susan Dagget, Yarrow Ator, Heidi Vuletich, Owen Weber, Andrew Kloeppel, Petersen Gray, Mandi Schaeffer-Fry, Razleen Bassra, Bryanna Rodriguez, Christina Blue, Taubie Sanders, Rachel Epstein, Luke Milburn, Camryn Evans, Ezra Martinez, Mary Westwood, Gabri Notov, Robin Tinghitella, Lilou Cabrol, Eli Barbour, Juliet Mendik, Selma Myers, Zac Wise, Noah Fahlin, Michelle Knowles, Abigail Hopper, Michael Greenberger, Romi Laclair, Sarah Watamura, Sabrina Efroymson, Casey Barker, Sydney Seltzer, Bryn Yehle, Jennifer Hoffman, Sara Garcia, Ryuka Nagamine, Trevor Briggs, Remy Le Boeuf, Elena Krone, Eileen Farrell, Regan O'Rourke, Elena Roel, Greg Mortimer, Ali Ayoub, Stefani Langehennig, Caitlin Turk, Logan Scmid, Stefan Chavez-Norgaard, Karen Kim, Tatiana Peccedi, Courtney Cassidy, John Sebesta, Rhianna Lewis, Janice Bening-Lacek, Vivian Lawless, Mckenna Hanson, Jeffrey Amidon, Riya Joshi, Ram Ambre, Brady Worrell, Perrin Schneider, Ali Azadani, Brooke Agulnek, Lyndsie Salvagio, Elise Siemanowki, Yan Qin, Andre Allen, Melodie Nguyen, Megan Livengood, Abby Reams, Saffron Hartreeve, Bri Wylie, Sarah Brookman, Mariah Loiacono, Green Russo, Abhia Lodhi, Gabrielle Welsh, Nika Spehar, Shahked Levin, Evrim Baykal, Kimberly Chiew, Jocelyn Torres, Kailey Hicks, Mykaela Tanino-Springsteen, Audrey Bellows, Akam Chahal, Madeline Tepper, Shannon Murphy, Alexa Fonseca, Deborah Han, Cassandra Perez, Oluwatoyin Alaba, Julia Roncoroni, Vy Nguyen, Nana Burn, Sarah Sasse, Rubin Tuder, Anthony Gerber, Nancy Lorenzon, Christine Vohwinkel, Camryn Gunter, Tristan Weber, Sam Rommel, Brian Michel, Muskan Fatima, Alannah Oleson, Kira Frey, Edward Garrido, Beckett Morris, Kerstin Haring, Drew Middleton, Abigail Walpert, Liam Dee, Gabby Ishaw, Cole Carnes, Maddie Weiser, Claire Fox, Valeriia Vlasenko, Kateri Mcrae, Riley Smith, Abigail Templin, Kushani Rajapaksha
Du Undergraduate Showcase Abstracts: Research, Scholarship, And Creative Works, Sophia Wismar, Henry Staats, Allison Metzler, Chloe Puckett, Rachel Levine, Christa Kilpatrick, Scott Wolf, Joe Walsh, Grace Doolittle, John Engebreston, Zoe Lopez, Christopher Aaby, Audrey Duff, Timothy Sisk, Katelyn Lamberton, Angela Narayan, Gilkah Argueta, Habiba Samir, Girena Tesfazghi, Genet Kenore, Sinit Tesfamariam, Effley Brooks, Abi Newell, Megan Doherty, Natalie Baer, Lexi Blood, Talya Riciputi, Jessica Jimenez, Devin Hernandez, Lynn Clark, Taj Kumar, Sunil Kumar, Allen Rutman, Mira Pronobis, Tess Carson, Anna Sher, Frankie Stroud, Tamra Pearson D'Estree, Alyssa Wilson, Emily Melnick, Jenalee Doom, Yihang Gao, Gwendolyn Geiger, Noah Gettle, Scott Nichols, Clare Ayoub, Cara Dienno, Sunny Walker, Zoe Hansen, Maya Wheeler, Addison Rice, Patrick Martin, Sanjana Acharya, Daniel Mcintosh, Amanda Mckellips, Calli Cain, Justin Blake, Peter Sokol-Hessner, Natalie Miller, Max Weisbuch, Sophia Dellota, John Macikas, Charlotte Snow, Mark Siemens, Zoe Lynch, Alex Huffman, Prachi Shah, Jason Roney, Halcyon Levi, Nicole Herzog, Andrea Koly, Daniel Linseman, Annie London, Xi Yang, Avery Zwisler, Jane Smith, Chaz Contag, Michael Kerwin, Lucy Rand, Grace Schroeder, Michelle Rozenman, Nissa Tapper, Guiming Zhang, Mateo Mazariego-Halpern, Keith Meyer, Julie Do, Dakota Park-Ozee, Travis Herink, Kara Neu, Jonathan Plomin, Eve-Odine Duchaufour, Debbie Gale Mitchell, Tennyson Anderson-Stricklin, Lily Treitz, Samantha Rosenberger, Sierra Griffith, Finley Joseph, Daniel Sampson, Emmy Davis, Skyler Kasnoff, Evon Lopez, Vivian Nguyen, Cassy Young, Franklin Sellner, Martin Tobon, Ila Graham, Zach Billings, Holden Hedit, Decatur Boland, Paul Kosempel, Cory Chandler, Jay Mahoney, Sam Dragan, Susan Dagget, Yarrow Ator, Heidi Vuletich, Owen Weber, Andrew Kloeppel, Petersen Gray, Mandi Schaeffer-Fry, Razleen Bassra, Bryanna Rodriguez, Christina Blue, Taubie Sanders, Rachel Epstein, Luke Milburn, Camryn Evans, Ezra Martinez, Mary Westwood, Gabri Notov, Robin Tinghitella, Lilou Cabrol, Eli Barbour, Juliet Mendik, Selma Myers, Zac Wise, Noah Fahlin, Michelle Knowles, Abigail Hopper, Michael Greenberger, Romi Laclair, Sarah Watamura, Sabrina Efroymson, Casey Barker, Sydney Seltzer, Bryn Yehle, Jennifer Hoffman, Sara Garcia, Ryuka Nagamine, Trevor Briggs, Remy Le Boeuf, Elena Krone, Eileen Farrell, Regan O'Rourke, Elena Roel, Greg Mortimer, Ali Ayoub, Stefani Langehennig, Caitlin Turk, Logan Scmid, Stefan Chavez-Norgaard, Karen Kim, Tatiana Peccedi, Courtney Cassidy, John Sebesta, Rhianna Lewis, Janice Bening-Lacek, Vivian Lawless, Mckenna Hanson, Jeffrey Amidon, Riya Joshi, Ram Ambre, Brady Worrell, Perrin Schneider, Ali Azadani, Brooke Agulnek, Lyndsie Salvagio, Elise Siemanowki, Yan Qin, Andre Allen, Melodie Nguyen, Megan Livengood, Abby Reams, Saffron Hartreeve, Bri Wylie, Sarah Brookman, Mariah Loiacono, Green Russo, Abhia Lodhi, Gabrielle Welsh, Nika Spehar, Shahked Levin, Evrim Baykal, Kimberly Chiew, Jocelyn Torres, Kailey Hicks, Mykaela Tanino-Springsteen, Audrey Bellows, Akam Chahal, Madeline Tepper, Shannon Murphy, Alexa Fonseca, Deborah Han, Cassandra Perez, Oluwatoyin Alaba, Julia Roncoroni, Vy Nguyen, Nana Burn, Sarah Sasse, Rubin Tuder, Anthony Gerber, Nancy Lorenzon, Christine Vohwinkel, Camryn Gunter, Tristan Weber, Sam Rommel, Brian Michel, Muskan Fatima, Alannah Oleson, Kira Frey, Edward Garrido, Beckett Morris, Kerstin Haring, Drew Middleton, Abigail Walpert, Liam Dee, Gabby Ishaw, Cole Carnes, Maddie Weiser, Claire Fox, Valeriia Vlasenko, Kateri Mcrae, Riley Smith, Abigail Templin, Kushani Rajapaksha
DU Undergraduate Research Journal Archive
Abstracts from the DU Undergraduate Research Showcase.
The Effect Of Incidental Emotions On Self-Control: An Examination Using A Need-Based Choice Model, Shruti Koley
The Effect Of Incidental Emotions On Self-Control: An Examination Using A Need-Based Choice Model, Shruti Koley
Business Faculty Publications and Presentations
Purpose – The purpose of this paper is to develop a framework that examines the effects of incidental emotions on choices in self-control dilemmas. The framework predicts that the effect of emotions depends on the hedonic and non-hedonic needs they activate and the extent to which emotional consumers expect the virtuous and gratifying options in the choice dilemma to facilitate these needs (i.e. their instrumentality toward the activated needs). The framework helps develop propositions for the self-control effects of six commonly experienced emotions: happiness, sadness, pride, guilt, anger and anxiety. Design/methodology/approach – The author uses a choice model to develop …
Burning Bridges? Conflicting Advice In Early Job Reneging And Implications For Practice, Amanda Leigh Bisson, Jo-Louise Huq
Burning Bridges? Conflicting Advice In Early Job Reneging And Implications For Practice, Amanda Leigh Bisson, Jo-Louise Huq
Engaged Management ReView
The time between early talent offers and students’ graduation dates is increasing. Although students are strongly encouraged by their universities not to renege on accepted early job offers, reneging is not uncommon in practice. In this paper, we explore how students approach the reneging decision, specifically examining the questions they ask and the advice they receive from peers and professionals. Using an interpretivist approach and reflective thematic analysis, we analyzed 25 Reddit posts by accounting students navigating reneges. Our findings offer novel insights into the student experience and the advice students are receiving from social network contacts. We find that …
Measuring Stock Market Inefficiency Using A Multilayer Composite Efficiency Index: A Case Of The Egyptian Exchange, Patrick K. Owido, Hiroki Sayama
Measuring Stock Market Inefficiency Using A Multilayer Composite Efficiency Index: A Case Of The Egyptian Exchange, Patrick K. Owido, Hiroki Sayama
Northeast Journal of Complex Systems (NEJCS)
Financial markets play a critical role in resource allocation. Their performance depends on the decisions of millions of independent investors constantly reacting to one another. Their informational efficiency remains a subject of debate across economic systems. When informational efficiency is present at the weak form, historical price information should not consistently predict future returns. Several empirical tests of this hypothesis often focus on the behavior of aggregate market indices, and use individual efficiency proxies such as autocorrelation, GARCH-type volatility, or entropy-based measures to measure efficiency. This has often yielded mixed results, particularly in emerging markets. Here we show that testing …
If You’Re Doing This Correctly, There Is A Cost: An Exploration Of The Work–Family Trade-Off Of Female Academics In Australia, Fleur Sharafizad
If You’Re Doing This Correctly, There Is A Cost: An Exploration Of The Work–Family Trade-Off Of Female Academics In Australia, Fleur Sharafizad
Research outputs 2022 to 2026
Purpose: This paper aims to explore how the gendered structures and expectations of neoliberal academic institutions inform and shape work–family trade-off considerations for women academics in Australia. It also sheds light on how these negotiations, and at times, the ensuing career or family gap, are experienced. In doing so, the paper deepens our understanding of the systematic barriers which do not only lead to gender inequalities in academia but also have broader individual and social implications. Design/methodology/approach: This exploratory study is based on qualitative semi-structured interviews, which were thematically analysed to identify how female academics navigate the expectations associated with …
Optimization Of A Multi-Item Supply Chain Model With Shortages Under Parametric Type-2 Interval Environments, Sourav Kumar Kumar Giri, Totan Garai, Sahidul Islam, Haridas Mondal, Shariful Alam
Optimization Of A Multi-Item Supply Chain Model With Shortages Under Parametric Type-2 Interval Environments, Sourav Kumar Kumar Giri, Totan Garai, Sahidul Islam, Haridas Mondal, Shariful Alam
Neutrosophic Systems with Applications
Modern supply chain systems frequently operate in environments where demand, costs and inventory-related parameters are uncertain and difficult to estimate accurately. These uncertainties become more critical in multi-objective decision-making situations, where decision makers must simultaneously balance several conflicting goals. Conventional optimization techniques often fail to represent the ambiguity and vagueness present in practical decision environments. To overcome these limitations, this study develops a multi-item supply chain model for a single supplier and a single buyer by incorporating Type-2 interval representations into the modelling framework. The proposed approach introduces a structured set of arithmetic operations for Type-2 intervals to manage uncertain …
Notes From The Editor, Jay Nathan
Letter From The Editor, Jay Nathan
The Impact Of Sovereign Wealth Funds On Emerging Markets: A Behavioral Analysis Of Investment Decisions And Market Reactions, Grant A. Mosshart
The Impact Of Sovereign Wealth Funds On Emerging Markets: A Behavioral Analysis Of Investment Decisions And Market Reactions, Grant A. Mosshart
Senior Honors Theses
Sovereign Wealth Funds (SWFs) are increasingly influential in emerging markets, yet the behavioral drivers behind their investments remain underexplored. In this paper, an analysis of SWF capital’s impact on economic development and the psychological factors, such as optimism bias and herding, that shape these decisions is examined. Utilizing a mixed-methods comparative study, the research analyzes Saudi Arabia’s Public Investment Fund (PIF) and Singapore’s Temasek Holdings. Event study analysis reveals a divergent impact: the PIF’s high-profile developmental commitment to India generated a positive 5-day Cumulative Abnormal Return of +2.05%, confirming a macro-level “seal of approval” signaling effect. By contrast, Temasek’s commercially …
Exploring Maximal Length Cellular Automata To Generate Primitive Polynomials In Gf(2), Sumit Adak, Subhrajit Deb, Anurag Ghosh, Angshuman Roy, Souvik Roy
Exploring Maximal Length Cellular Automata To Generate Primitive Polynomials In Gf(2), Sumit Adak, Subhrajit Deb, Anurag Ghosh, Angshuman Roy, Souvik Roy
Northeast Journal of Complex Systems (NEJCS)
We present a simple method that uses cellular automata (CAs) to find primitive polynomials over GF(2). We used maximal length CAs as tools to generate primitive polynomials. It is usually very difficult to find maximal length CAs or primitive polynomials since they require exponential time, and there is no linear time method. However, in our work, given an n-size specific sequence of CA with reasonable probability, our technique computes a cycle of length at most 2^n-1 (maximal length) in O(n) time. The characteristic polynomials of synthesized maximal length CAs are claimed to be primitive since it was previously established that …
Evaluating Optimal Capacity And Investment Strategies For Renewable Energy Projects: A Combined Technical And Financial Approach, Helen Josephine, Indhumathi Shanmugasundaram, Sharad Gupta, Manjari Sharma
Evaluating Optimal Capacity And Investment Strategies For Renewable Energy Projects: A Combined Technical And Financial Approach, Helen Josephine, Indhumathi Shanmugasundaram, Sharad Gupta, Manjari Sharma
Northeast Journal of Complex Systems (NEJCS)
The global shift toward clean energy is accelerating, and by 2050 renewable sources are expected to supply more than 85% of the world’s electricity. This transition, however, introduces new layers of complexity. Wind and solar energy behave as interconnected subsystems whose output fluctuates with weather, season, and geography. Their interaction with fixed hourly demand, capital-intensive investments, and financing structures creates a multi-dimensional system in which small changes can trigger significant operational and economic consequences. This study presents a simulation-driven framework designed to understand and optimize this complex behaviour. The framework models hourly wind and solar generation alongside projected demand to …
The Tax Adviser, Volume 18, Number 12, December 1987, American Institute Of Certified Public Accountants
The Tax Adviser, Volume 18, Number 12, December 1987, American Institute Of Certified Public Accountants
Tax Adviser
No abstract provided.
Software Companies And The Phc Tax, The Tra Rescues Many Companies From A Tax Trap, Sam L. White, Steven R. Selcer, John E. Karayan
Software Companies And The Phc Tax, The Tra Rescues Many Companies From A Tax Trap, Sam L. White, Steven R. Selcer, John E. Karayan
Tax Adviser
No abstract provided.
Planning Around The Built-In Gains Tax, Choosing S Corporation Status Is More Difficult Now, Joseph B. Kristan
Planning Around The Built-In Gains Tax, Choosing S Corporation Status Is More Difficult Now, Joseph B. Kristan
Tax Adviser
No abstract provided.
Decision Making At Triage Classification Using Svm With Smote Technique, Mehanas Shahul, Pushpalatha Kp
Decision Making At Triage Classification Using Svm With Smote Technique, Mehanas Shahul, Pushpalatha Kp
Northeast Journal of Complex Systems (NEJCS)
The efficient functioning of triage gates in overcrowded emergency departments (EDs) occurs in the context of the complex adaptive system (CAS) framework, where diverse system elements – patients, medical personnel, resources, patients’ inflow patterns, and patients themselves – simultaneously and dynamically influence the decision process. This study addresses the automated incorporation of machine learning triage algorithms as part of the system triage process to support automated classified risk-level recognition based on a limited set of vital signs. Patients are dynamically subsumed under high and low-risk categories enhanced by sensitivity, which enables optimal diagnosis and triage response to the critical clinician …
Uncovering Discrete States From Multimodal Psychophysiological Data Using Gaussian Latent Dirichlet Allocation (Glda), Congyu Wu, Aaron Fisher, David Schnyer
Uncovering Discrete States From Multimodal Psychophysiological Data Using Gaussian Latent Dirichlet Allocation (Glda), Congyu Wu, Aaron Fisher, David Schnyer
Northeast Journal of Complex Systems (NEJCS)
In this article we explore and validate the utility of an unsupervised probabilistic model, Gaussian Latent Dirichlet Allocation (GLDA), for discovering discrete states from repeated, multimodal psychophysiological samples collected from multiple individuals. Psychology and medical research heavily involves measuring potentially related but individually inconclusive variables from a cohort of participants to derive diagnosis, necessitating clustering analysis for state identification. Traditional probabilistic clustering models such as Gaussian Mixture Model (GMM) assume a global mixture of component distributions, which may not be realistic for observations from different patients. The GLDA model borrows the individual-specific mixture structure from a popular topic model Latent …
The Tax Adviser, Volume 18, Number 10, October 1987, American Institute Of Certified Public Accountants
The Tax Adviser, Volume 18, Number 10, October 1987, American Institute Of Certified Public Accountants
Tax Adviser
No abstract provided.
Tra And Small Business Will The Benefits Outweigh The Costs?, Debra M. (White) Hopkins, Arthur Cassill
Tra And Small Business Will The Benefits Outweigh The Costs?, Debra M. (White) Hopkins, Arthur Cassill
Tax Adviser
No abstract provided.
Jadughar: The House Of Magic, Dhruvi A. Shah
Jadughar: The House Of Magic, Dhruvi A. Shah
Masters Theses
Jadughar or the House of Magic is what people call a 'museum' in parts of South Asia. The practice of museum making, at its origin, is the act of collecting, preserving, interpreting and representing a culture’s tangible and intangible heritage to make it accessible to diverse audiences. Since the early 19th century such practices have been performed at various kala bhandars (art centers) in India, without the need of a formal or institutional organisation. The British introduced the model of a ‘museum’ in South Asia, with the aim of not only preserving ethnographic collections, but also showcasing their power and …
Decision-Making In Early-Stage Startups: How Venture Capitalists And Angel Investors Evaluate Uncertainty, Andrew M. Pence
Decision-Making In Early-Stage Startups: How Venture Capitalists And Angel Investors Evaluate Uncertainty, Andrew M. Pence
Dissertations
The purpose of this dissertation is to examine how venture capitalists (VCs) and angel investors (AIs) make investment decisions regarding early-stage startups. Using an Interpretative Phenomenological Analysis (IPA) framework—consisting of three core components: phenomenology, hermeneutics, and idiography—this study draws upon three decision-making models: the Rational Actor Model (RAM), the Heuristics and Biases model (H&B), and the Naturalistic Decision-Making model (NDM) to explore what motivates VCs and AIs to choose, for instance, “Company A over Company B.” Semi-structured interviews were conducted with 10 experienced venture investors to examine how they evaluate risk, assess founders and teams, and navigate the persistent uncertainty …