Arnold Kamis
Brandeis University, International Business School, Faculty Member
Electronic marketing is an established and fast growing research stream within electronic commerce that continues to evolve. New methods, models, lessons and best practices continue to be tested, discovered, refined and advanced. Our... more
Electronic marketing is an established and fast growing research stream within electronic commerce that continues to evolve. New methods, models, lessons and best practices continue to be tested, discovered, refined and advanced. Our minitrack, now in its seventh year, highlights several interesting studies done in this area. We have accepted papers in two areas: 1) quantitative, empirical research with strong theoretical underpinnings, and 2) novel methods and approaches for envisioning and creating effective online/Internet marketing theory development or managerial best practice.
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The abundance of data available to researchers has led to increasing interest in data-derived theoretical development. Although this is a valid method of deriving theoretical models, it is subject to numerous limitations and hazards that... more
The abundance of data available to researchers has led to increasing interest in data-derived theoretical development. Although this is a valid method of deriving theoretical models, it is subject to numerous limitations and hazards that may threaten the validity and usefulness of the models. The purpose of this paper is to critique empirically-driven theoretical development. Our goal is to offer a cautionary tale about the limits of derivation of theory from empirical analysis in the hopes that our analysis and critique can strengthen empirical derivation of theory. In this paper, we use the empirical derivation of the Unified Model of Information Security Policy Compliance (UMISPC) as a research case study to illustrate some of these limitations and risks. For example, we critique the opportunistic dropping of theoretical paths based on statistical results, cautioning that doing so is insufficient for forming new theory. We also report several attempts at validating UMISPC through replication, including our own, which used data from a survey of 525 employed American adults. Comparison of the replications and original model indicates a general failure to replicate substantial portions of the original paper. We discuss five specific pitfalls associated with empirically-driven model development and make recommendations for future studies that use inductive, data-driven approaches to derive theoretical models.
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In this paper, we develop several predictive models pertaining to Electric Vehicles in the United States. We set out to understand three phenomena: Public Charging Units, Electric Vehicle Jobs, and Electric Vehicle Registrations. To model... more
In this paper, we develop several predictive models pertaining to Electric Vehicles in the United States. We set out to understand three phenomena: Public Charging Units, Electric Vehicle Jobs, and Electric Vehicle Registrations. To model them, we include variables from various categoriesdemographics, economics, education, environment, finance, geographics, public health, and technographicsin the timespan of 2010-2020. We integrate data from multiple data sources and use them to understand, explain, and predict the Electric Vehicle phenomena combining state and county level data. We obtain three random effects linear regression models having variance explained of 51.5-62.4%. We also fit several machine learning models to improve the accuracy of the models, highlighting nonlinearities, to provide additional insights. The overall predictive accuracy of each Gradient Boosted Tree model is far superior to that of each linear regression model and significantly better than the other machine learning models. Our core contribution is that, spanning all three phenomena, the three most important predictor variables are solar generation of electricity, high school graduation rates, and air quality. We interpret the models and discuss their implications for research and practice.
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Research Interests: Health Care and Diffusion
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Research Interests: Business and Health Care
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ABSTRACT In this study we investigate the educational attainment of the labour force in the United States. Our data analysis, based on Bureau of Labour Statistics data in more than 700 occupations, produced two important findings. First,... more
ABSTRACT In this study we investigate the educational attainment of the labour force in the United States. Our data analysis, based on Bureau of Labour Statistics data in more than 700 occupations, produced two important findings. First, we observed that the Overeducation Ratio (share of employees that are overeducated), which began to rise in the United States as early as 1970, continued its positive trend in many occupations during 2002–2016. Second, our regression analysis revealed a positive correlation between the overeducation ratio and the median earnings of an occupation. Since a larger overeducation ratio implies that a larger share of adequately educated individuals are crowded out, this result suggests that the displacement of adequately educated individuals is more severe in better paying occupations. Third, we analysed the overflow of graduate degree holders into occupations that require a bachelor’s degree. We observe that graduate degree holders are crowding out the bachelor’s degree holders from better paying bachelor’s occupations. The bachelor’s degree holders, in turn, are crowding out high school graduates from better paying high school jobs.
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Research Interests: Information Systems, Computer Science, Management Information Systems, Knowledge Management, Usability, and 13 morePersonalization, Decision Support Systems, Applied Economics, Social Science Research Network, Business and Management, Perceived Usefulness, Perceived Control, Task Complexity, Customization, Control Management, Perceived Ease of Use, Decision Process, and Perceived Enjoyment
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Research Interests: Engineering, Information Technology, Health Promotion, Operations Research, Population Health, and 15 moreMedicine, Queuing Theory, Optimization, Analytics, Simulation, Population, Humans, Computer Simulation, Population Management, Healh Information Management, Delegate, Queue, Patient care management, Early detection of cancer, and Medical and Health Sciences
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Research Interests: Computer Science, Design, Design Methods, Maintainability, Hypermedia, and 14 moreHypertext, Relationship Management, Social Science Research Network, World Wide Web, New York University, Reuse, Database Integration, Application development, Data Model, Notation, Entity Relationship Diagram, Bottom Up, Top Down, and Programming language
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Research Interests: Psychology, Computer Science, Decision Making, Decision Support Systems, Collaboration Technology, and 12 moreSocial Networking Services, Travel, Online Shopping, Collaborative Planning, Travel Industry, Field Experiment, Decision Support, Hicss, Ease of Use, Online Commerce, Internet, and Partial Least Square
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The purpose of this paper is to model the cases of COVID-19 in the United States from 13 March 2020 to 31 May 2020. Our novel contribution is that we have obtained highly accurate models focused on two different regimes, lockdown and... more
The purpose of this paper is to model the cases of COVID-19 in the United States from 13 March 2020 to 31 May 2020. Our novel contribution is that we have obtained highly accurate models focused on two different regimes, lockdown and reopen, modeling each regime separately. The predictor variables include aggregated individual movement as well as state population density, health rank, climate temperature, and political color. We apply a variety of machine learning methods to each regime: Multiple Regression, Ridge Regression, Elastic Net Regression, Generalized Additive Model, Gradient Boosted Machine, Regression Tree, Neural Network, and Random Forest. We discover that Gradient Boosted Machines are the most accurate in both regimes. The best models achieve a variance explained of 95.2% in the lockdown regime and 99.2% in the reopen regime. We describe the influence of the predictor variables as they change from regime to regime. Notably, we identify individual person movement, as t...
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Online sellers have long been able to design a useful and aesthetically appealing Web site, collect detailed customer information, and develop electronic relationships with customers and suppliers. These practices are established, well... more
Online sellers have long been able to design a useful and aesthetically appealing Web site, collect detailed customer information, and develop electronic relationships with customers and suppliers. These practices are established, well tested and maturing, so electronic ...
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This is data from the Bureau of Labor Statistics on educational attainment and educational requirements for various occupations in the US labor market. The data has been gathered and processed by project members Arnold Kamis and Nader... more
This is data from the Bureau of Labor Statistics on educational attainment and educational requirements for various occupations in the US labor market. The data has been gathered and processed by project members Arnold Kamis and Nader Habibi.
Auctions are formalized trading procedures in which the trading partners’ interaction is governed by specific rules for competitive bidding and trade execution. Auction markets provide procedures for the exposure of purchase and sales... more
Auctions are formalized trading procedures in which the trading partners’ interaction is governed by specific rules for competitive bidding and trade execution. Auction markets provide procedures for the exposure of purchase and sales orders to the marke t participants in order to determine the price of trade objects. Empirically, we find a multiplicity of auction types with differ ent trade objects, access rules for participants, and trading rules.
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Today, many companies use the Web to let customers customize their own products. Examples include Dell for computers, NikeID for shoes, and Reflect.com for cosmetics. This study will examine under what circumstances a certain type of mass... more
Today, many companies use the Web to let customers customize their own products. Examples include Dell for computers, NikeID for shoes, and Reflect.com for cosmetics. This study will examine under what circumstances a certain type of mass customization interface is appropriate. We will conduct an experiment to study the effect of end-user factors such as computer playfulness and computer anxiety on the customer experience when using mass customization on the web. We will also study the effect of the number of product options on that experience.
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In this study we investigate the educational attainment of the labour force in the United States. Our data analysis, based on Bureau of Labour Statistics data in more than 700 occupations, produced two important findings. First, we... more
In this study we investigate the educational attainment of the labour force in the United States. Our data analysis, based on Bureau of Labour Statistics data in more than 700 occupations, produced two important findings. First, we observed that the Overeducation Ratio (share of employees that are overeducated), which began to rise in the United States as early as 1970, continued its positive trend in many occupations during 2002–2016. Second, our regression analysis revealed a positive correlation between the overeducation ratio and the median earnings of an occupation. Since a larger overeducation ratio implies that a larger share of adequately educated individuals are crowded out, this result suggests that the displacement of adequately educated individuals is more severe in better paying occupations. Third, we analysed the overflow of graduate degree holders into occupations that require a bachelor’s degree. We observe that graduate degree holders are crowding out the bachelor’s...
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Research Interests: Business, Information Systems, Computer Science, Community, E Health, and 3 moreWebsites, Patient, and CAIS
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Research Interests: Engineering, Health Promotion, Operations Research, Population Health, Workflow, and 13 moreMedicine, Queuing Theory, Optimization, Simulation, Humans, Computer Simulation, Theoretical Models, Healh Information Management, Queue, Simulation Modeling, Patient care management, Early detection of cancer, and Medical and Health Sciences
Security researchers and managers would like to know the best ways of introducing new innovations and motivating their use. This study applies Protection Motivation Theory to model the coping and threat appraisals that motivate... more
Security researchers and managers would like to know the best ways of introducing new innovations and motivating their use. This study applies Protection Motivation Theory to model the coping and threat appraisals that motivate Millennials, who are early technology adopters, to adopt or resist biometric security for system access. One hundred fifty-nine Millennials were given a hypothetical scenario in which system access would be enhanced by biometric security to strengthen user authentication. The authors model the results with PLS and find that Protection Motivation Theory provides a good explanation of the user’s perceptions of biometric security. The model suggests that the users’ protection motivation is influenced directly by the Perceived System Response Efficacy of the biometric system and indirectly by Perceived Effort Expectancy, Perceived Computer Self-Efficacy, Perceived Privacy Invasion and Perceived System Vulnerability. Implications and limitations of the model are d...
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ABSTRACT This study set out to investigate the critical factors that determine user intention to use a biometric system. We integrated previous research in the technology acceptance and biometric engineering literatures and identified six... more
ABSTRACT This study set out to investigate the critical factors that determine user intention to use a biometric system. We integrated previous research in the technology acceptance and biometric engineering literatures and identified six important factors: Perceived ...