MIS Distinguished Speaker Series

Temple University

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Sezgin Ayabakan

Apr 16 – Rema Padman to present “YouTube Video Analytics for Health Literacy and Chronic Care Management: An Augmented Intelligence Approach to Assess Content and Understandability”

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YouTube Video Analytics for Health Literacy and Chronic Care Management: An Augmented Intelligence Approach to Assess Content and Understandability

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Rema Padman

Trustees Professor of Management Science and Healthcare Informatics
Heinz College of Information Systems and Public Policy
Carnegie Mellon University

Friday, Apr 16

10 – 11 am | Zoom

(send an email to ayabakan@temple.edu to get the Zoom link)

Abstact:

Video sharing social media platforms, such as YouTube, offer an effective way to deliver medical information that may be more understandable for the public, with the potential to improve health literacy, patient-physician interactions, self-care and outcomes. Few studies have identified scalable, replicable and efficient technology-enabled interventions, delivered as evidence-backed digital therapeutics, to improve the ease with which patients and health professionals can retrieve understandable medical information to manage chronic conditions. We propose an augmented intelligence approach that synthesizes annotations from domain experts, deep learning and co-training methods from machine learning and a systematic approach to extract patient education constructs on understandability and encoded medical information to develop an automated, generalizable video classification solution. We further examine the simultaneous impact of understandability and validated medical information in a video on several dimensions of collective engagement by conducting a multiple-treatment propensity score based matching approach that allows us to implement a quasi-randomization research design. While confirming common assessments of the relationship between user engagement and patient education materials, our analysis quantifies the nuanced effects using actual viewing data in the specific context of understandability of complex medical information encoded in patient education videos found on YouTube, with implications for research and practice.

Apr 2 – Terence Saldanha to present “Information Technology Firms, and Revenue and Profit Stall: Theory and Empirical Evidence”

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Information Technology Firms, and Revenue and Profit Stall: Theory and Empirical Evidence

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Terence Saldanha

Assistant Professor
Terry College of Business
University of Georgia

Friday, Apr 2

10 – 11 am | Zoom

(send an email to ayabakan@temple.edu to get the Zoom link)

Abstact:

Slowdown in revenue or profit growth, what we call revenue stall or profit stall, is a key concern for any firm. This study examines the stall phenomenon and proposes three hypotheses to explain how Information Technology (IT) firms differ from non-IT firms in revenue stall and profit stall. First, we hypothesize that IT firms are more susceptible to revenue stall and profit stall than non-IT firms. Second, we hypothesize that coordination investments reduce revenue stall susceptibility and profit stall susceptibility to a greater extent in IT firms than in non-IT firms. Third, we hypothesize that innovation investments reduce revenue stall susceptibility and profit stall susceptibility to a greater extent in IT firms than in non-IT firms. Our analyses of a unique secondary longitudinal data of over 1200 large public U.S. firms from 1950-2015 supports our hypotheses. Our results are robust to endogeneity and alternative ways of measuring stall susceptibility. In further exploratory analysis, we find that revenue stall susceptibility mediates the effect of coordination investment and innovation investment on profit stall susceptibility. We also use our models to predict stall susceptibility, and we find a positive and high correlation between the predicted and actual values of stall susceptibility. Overall, our study contributes to theory and managerial practice by uncovering a non-intuitive finding that although IT firms are more susceptible than non-IT firms to revenue stall and profit stall, IT firms are more responsive than non-IT firms to investments in coordination and innovation that reduce stall susceptibility.

Mar 26 – Kunsoo Han to present “Green Cloud? An Empirical Analysis of Cloud Computing and Energy Efficiency”

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Green Cloud? An Empirical Analysis of Cloud Computing and Energy Efficiency

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Kunsoo Han

Associate Professor
Bensadoun Faculty Scholar
Desautels Faculty of Management
McGill University

Friday, Mar 26

9 – 10 am | Zoom

(send an email to ayabakan@temple.edu to get the Zoom link)

Abstact:

The rapid, widespread adoption of cloud computing over the past decade has sparked debates on its environmental impacts among practitioners and academics alike. While prior literature has extensively scrutinized the energy-consuming characteristics of cloud computing on the vendor side, very little attention has been paid to its broader, economy-wide impacts on the client side, although the latter effect may be substantially greater. Drawing upon production theory and using a stochastic frontier analysis, this study examines the impact of cloud computing on client industries’ energy efficiency. To this end, we develop a novel industry-level measure of cloud-based information technology (IT) services. Using U.S. economy-wide data from 57 industries during 1997–2017, our findings suggest that cloud-based IT services improve energy efficiency, and this effect appears to be driven mainly by Software-as-a-Service (SaaS), rather than Infrastructure-as-a-Service (IaaS). Moreover, this effect is significant only after 2006, when cloud computing started to be commercialized, and becomes even stronger after 2010. While SaaS contributes to energy efficiency improvement across industries, we find that the positive contribution of IaaS to energy efficiency is significant only in IT hardware-intensive industries. Finally, the main effects of SaaS on energy efficiency are universally significant for both electric and non-electric energy efficiency, whereas IaaS is positively associated with electric energy efficiency when IT hardware intensity is high. From the analysis, we estimate the economy-wide savings in energy costs due to cloud computing to be 2.8 to 12.6 billion US dollars in 2017 alone, equivalent to a reduction in electricity use by 31.8 to 143.8 billion kilowatt-hours. Our estimate exceeds the total energy expenditure in the cloud services vendor industries and is comparable to total electricity consumption in U.S. data centers. Additional firm-level survey analysis corroborates the findings from industry-level econometric analysis. We discuss implications for research and practice.

Mar 19 – Jungpil Hahn to present “The Impact of End-User Privacy Enhancing Technologies (PETs) on Firms’ Analytics Performance”

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The Impact of End-User Privacy Enhancing Technologies (PETs) on Firms’ Analytics Performance

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Jungpil Hahn

Associate Professor
Head, Department of Information Systems and Analytics
School of Computing
National University of Singapore

Friday, Mar 19

9 – 10 am | Zoom

(send an email to ayabakan@temple.edu to get the Zoom link)

Abstact:

Big data analytics in digital commerce requires vast amounts of personal information from consumers, but this gives rise to major privacy concerns. To combat the threat of privacy invasion, more and more individuals are proactively adopting privacy enhancing technologies (PETs) to protect their personal information. Consumers’ adoption of PETs may hamper firms’ big data analytics capabilities and performance but our knowledge of how PETs impact firms’ data analytics is rather limited. This study proposes a theoretical framework to better understand how consumers’ use of PETs will affect firms’ analytics performance by way of inducing measurement error and/or missing values with regards to entities, attributes and relationships in firms’ customer databases. However, the impact of specific end-user PETs may vary by analytics use cases. We conduct a computational study to investigate and quantify the impact of consumer PET use on product recommendation performance. Our simulation experiments find that consumers’ adoption characteristics (adoption rate and pattern) and PETs characteristics (protection mechanism and intensity) significantly affect the performance of product recommendation systems.

Mar 5 – Monideepa Tarafdar to present “Role of Social Media in Social Protest Cycles: A Sociomaterial Examination”

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Role of Social Media in Social Protest Cycles: A Sociomaterial Examination

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Monideepa Tarafdar

Charles J. Dockendorff Endowed Professor
Operations & Information Management
Isenberg School of Management
University of Massachusetts Amherst

Friday, Mar 5

10 – 11 am | Zoom

(send an email to ayabakan@temple.edu to get the Zoom link)

Abstact:

Contemporary social media fueled social protest is self-organized, rapidly dynamic, and de-centralized, constitutes vast populations, and is shaped by multiple and concurrent channels of information flows. Who can forget the powerful images of the many different social medial fueled protests, across the world, from 2018 through early 2021? Such protest activity is captured in the concept of ‘social protest cycles’, which are short periods of intense and contentious protest activity characterized by temporal dynamics, a large repertoire of protest action, confrontation and potential violence, and possible institutional action. They are the micro-foundations of long-term social movements. Drawing from the theoretical concept of sociomaterial assemblages, we conceptualize the social media enabled social protest cycle as an assemblage having social (e.g., people, elected leaders, police, judges etc.) and technical (social media applications, online petition applications etc.) components and analyze how it transforms through performative intra-actions. The empirical context is a social media enabled social protest cycle that emerged following a fatal rape incident in New Delhi, India. Through mixed-methods analysis of longitudinal netnographic data collected from simultaneous protest activity on Twitter, Facebook, YouTube, online blogs, and newspaper websites, we theorize three intra-actions – Consolidation, Expansion and Intensification – and explain how they transform the social protest cycle over time. The paper contributes to the IS literature that studies social media enabled social protest action.

Feb 26 – Hasan Cavusoglu to present “IT Risk and Firm Propensity to Stock Price Crash”

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IT Risk and Firm Propensity to Stock Price Crash

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Hasan Cavusoglu

Associate Professor of MIS
Accounting and Information Systems Division
Sauder School of Business
University of British Columbia

Friday, Feb 26

1 – 2 pm | Zoom

(send an email to ayabakan@temple.edu to get the Zoom link)

Abstact:

As firms increasingly depend on Information Technology (IT) in their business strategies and value creation activities, risks associated with IT have become one of the top concerns for managers and investors. This study examines the relation between IT-related risk factor information in Item 1A of the 10-K annual reports and a firm’s stock price crash risk, a firm specific propensity to stock price crashes. Using the text-mining approach of Latent Dirichlet Allocation topic modeling to identify IT-related risk factors, we find that IT risk emerges as one of firms’ key risk categories and that IT risk factors are positively associated with a firm’s future stock price crash risk. We further separate IT risk factors into cybersecurity risk that potentially leads to a loss or leak of data, and IT value risk that relates to a firm’s reliance on IT for its competitive advantage and value creation activities. We find that cybersecurity risk continues to affect crash risk, but IT value risk does not, consistent with their different risk nature. We also find that the readability, novelty, and the order of appearance of the IT risk factor information in Item 1A enhance the information content of IT risk factors and strengthen their relation with stock price crash risk.

Feb 19 – Keong Tae Kim to present “Risk Disclosure in Crowdfunding”

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Risk Disclosure in Crowdfunding

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Keong Tae Kim

Associate Professor
Decision Sciences and Managerial Economics
CUHK Business School
The Chinese University of Hong Kong

Friday, Feb 19

9 – 10 am | Zoom

(send an email to ayabakan@temple.edu to get the Zoom link)

Abstact:

How should crowdfunding platforms alleviate information asymmetry between creators and crowdfunders? In traditional financial markets, public companies are required to disclose potential risks to their investors, and such risk disclosure requirements are enforced by legal and fiduciary regulations. In the crowdfunding context, however, such information asymmetry concerns are often addressed by crowd-based platforms. In this study, we examine whether and how risk disclosure of crowdfunding projects influences crowdfunders’ project perceptions and funding decisions. To examine the impact of risk disclosure holistically, we exploit a natural experiment, run two controlled experiments, and conduct a text-based machine learning analysis. We find that crowdfunders respond negatively to projects’ risk disclosure, while the negative effect of risk disclosure is smaller for projects that are more likely to deliver an expected reward. In addition, crowdfunders are sensitive to the content and presentation of disclosed risk information from projects and respond accordingly, though the association is stronger for more complex projects. We find that when projects are complex and challenging, funders pay more attention to risk information and the likelihood of receiving the promised rewards. These findings have implications for disclosure policies in crowd-based platforms and provide guidance for entrepreneurs seeking funds from crowds.

Dec 4 – Wendy Duan to present “Does Social Media Accelerate Product Recalls? Evidence from the Pharmaceutical Industry”

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Does Social Media Accelerate Product Recalls? Evidence from the Pharmaceutical Industry

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Wenjing (Wendy) Duan

Associate Professor
Information Systems & Technology Management
School of Business
The George Washington University

Friday, Dec 4

10 – 11 am | Zoom

(send an email to ayabakan@temple.edu to get the Zoom link)

Abstact:

Social media has become a vital platform for voicing product-related experiences and concerns, which not only signal potential defects but also impose pressures on firms. This study scrutinizes the rarely-studied relationship between these voices and product recalls by focusing on the pharmaceutical industry since social media pharmacovigilance is becoming increasingly crucial for detecting drug safety signals. Using Federal Drug Administration (FDA) drug enforcement reports and social media data crawled from online forums and Twitter, we investigate whether social media can accelerate the product recall process in the context of drug recalls. The results, derived from the discrete-time survival analysis, suggest that more adverse drug reaction (ADR) discussions on social media would lead to a higher hazard rate of the drug being recalled, and, thus, a shorter time to recall. To better understand the underlying mechanism, we propose the information effect, which captures how extracting information from social media helps detect more signals and mine signals faster to accelerate product recalls, and the publicity effect, which captures how firms or government agencies are pressured by public concerns to initiate speedy recalls. This study offers new insights for firms and policymakers concerning the power of social media and its influence on product recalls.

Nov 20 – Ozgur Turetken to present “A Comprehensive Privacy Calculus Model – The Case of Smartphones”

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A Comprehensive Privacy Calculus Model – The Case of Smartphones

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Ozgur Turetken

Professor
Associate Dean for Research
Ted Rogers School of Information Technology Management
Ryerson University

Friday, Nov 20

10 – 11 am | Zoom

(send an email to ayabakan@temple.edu to get the Zoom link)

Abstact:

Advances in data collection abilities, the rapid diffusion of smartphones, and recent large scale data breaches are causing consumers’ privacy awareness and concerns to rise. Privacy related literature contains several models such as the Privacy Calculus used to understand privacy behaviours and privacy concerns. The Privacy Calculus involves a rational decision making process whereby an individual engages in a cost-benefit analysis of competing beliefs to decide whether to disclose their personal information. The current research extends the original Privacy Calculus. Our model reflects a novel cost-benefit analysis of competing beliefs on smartphone privacy concerns. We extend this model with variables representing influencers and perceived protection. Overall six categories, composed of 14 variables, are considered for our comprehensive calculus model of privacy concerns: Benefits, Risks, External Influence, Internal Influence, External Protection, and Internal Protection. A survey instrument is distributed to 603 smartphone users to collect both quantitative and qualitative responses. Structured equation modeling (SEM) and a manual content analysis are employed to analyze the data. The quantitative results reveal that factors within the Benefit, Risk, Internal Protection and Internal Influence categories have significant impact on privacy concerns while the External Protection and External Influence categories do not. From the qualitative results, 12 core factors and 22 sub-factors are determined to influence smartphone privacy concerns. Overall, the novel theoretical model of calculus on privacy concerns extends the original privacy calculus for a more thorough and granular understanding of individuals’ conceptualization of privacy concerns and their subsequent intentions to disclose personal information. This research is timely as organizations need to balance their need for customer information with rapidly increasing privacy concerns. The findings have significant practical implications for other stakeholders such as smartphone developers, smartphone service providers, and government regulators.

Nov 13 – Jan Recker to present “Towards a Dynamic Network Theory of Organizing and Emerging Technology”

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Towards a Dynamic Network Theory of Organizing and Emerging Technology

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Jan Recker

Alexander-von-Humboldt Fellow
Chaired Professor for Information Systems
University of Cologne

Friday, Nov 13

10 – 11 am | Zoom

(send an email to ayabakan@temple.edu to get the Zoom link)

Abstact:

Current thinking about emerging technology tends to focus on features and affordances of single artifacts, often in isolation, inserted into one existing way of organizing, often a single process. In contrast, we propose a theory that is focused on networks of relations between technology-enabled actions in a dynamic network of organizing. Our theory offers a novel explanation for how emerging technology can generate rapid, transformative change in how we organize our actions. We build on current theories of network dynamics and technology-in-use and consider what happens to an on-going pattern of action when new artifacts arrive on the scene, i.e., when emerging technology influences the emergence of organizing paths in the network. We use a computer-based simulation to demonstrate our theory. Our specific contribution resides in the focus on network paths as a central explanatory mechanism for emergent, transformative change.