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Management Information Systems Commons™
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- Business Analytics (1)
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Articles 1 - 8 of 8
Full-Text Articles in Management Information Systems
Does Engaging Commercial Customers In A Shared Social Mission Improve Impact Sourcing Service Provider (Issp) Success? A Critically Appraised Topic, Michael F. Corbett
Does Engaging Commercial Customers In A Shared Social Mission Improve Impact Sourcing Service Provider (Issp) Success? A Critically Appraised Topic, Michael F. Corbett
Engaged Management ReView
This topic paper examines whether engaging commercial customers through a shared social mission improves the success of social enterprises. It is based on an examination of a subset of the information technology and business process outsourcing (ITO/BPO) industries, known as impact sourcing service providers (ISSPs). ISSPs are social enterprises – B2R Technologies and Digital Divide Data are two examples – that provide call center, transaction processing, data entry, and other technology-enabled services for commercial customers from remote locations around the globe. What is unique about ISSPs is that they do this with a social mission of creating jobs and economic …
Isscm Newsletter, Fall 2023, Raj Soin College Of Business, Wright State University
Isscm Newsletter, Fall 2023, Raj Soin College Of Business, Wright State University
ISSCM Newsletters
A ten page newsletter from the Department of Information Systems and Supply Chain Management in the Raj Soin College of Business at Wright State University.
‘So What If Chatgpt Wrote It?’ Multidisciplinary Perspectives On Opportunities, Challenges, And Implications Of Generative Conversational Ai For Research, Practice, And Policy, Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Emma Louise Slade, Anand Jeyaraj, Arpan Kumar Kar, Abdullah M. Baabdullah, Alex Koohang, Vishnupriya Raghavan, Manju Ahuja, Hanaa Albanna, Mousa Ahmad Albashrawi, Adil S. Al-Busaidi, Janarthanan Balakrishnan, Yves Barlette, Sriparna Basu, Indranil Bose, Laurence Brooks, Dimitrios Buhalis, Lemuria Carter, Soumyadeb Chowdhury, Tom Crick, Scott W. Cunningham, Gareth H. Davies, Robert M. Davison, Rahul Dé, Denis Dennehy, Yanqing Duan, Rameshwar Dubey, Rohita Dwivedi, John S. Edwards, Carlos Flavián, Robin Gauld, Varun Grover, Mei-Chih Hu, Marjin Janssen, Paul Jones, Iris Junglas, Sangeeta Khorana, Sascha Kraus, Kai R. Larsen, Paul Latreille, Sven Laumer, F. Tegwen Malik, Abbas Mardani, Marcello Mariani, Sunil Mithas, Emmanuel Mogaji, Jeretta Horn Nord, Siobhan O'Connor, Fevzi Okumus, Margherita Pagani, Neeraj Pandey, Savvas Papagiannidis, Ilias O. Pappas, Nishith Pathak, Jan Pries-Heje, Ramakrishnan Raman, Nripendra P. Rana, Sven-Volker Rehm, Samuel Riberiro-Navarrete, Alexander Richter, Frantz Rowe, Suprateek Sarker, Bernd Carsten Stahl, Manoj Kumar Tiwari, Wil Van Der Aalst, Viswanath Venkatesh, Giampaolo Viglia, Michael Wade, Paul Walton, Jochen Wirtz, Ryan Wright
‘So What If Chatgpt Wrote It?’ Multidisciplinary Perspectives On Opportunities, Challenges, And Implications Of Generative Conversational Ai For Research, Practice, And Policy, Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Emma Louise Slade, Anand Jeyaraj, Arpan Kumar Kar, Abdullah M. Baabdullah, Alex Koohang, Vishnupriya Raghavan, Manju Ahuja, Hanaa Albanna, Mousa Ahmad Albashrawi, Adil S. Al-Busaidi, Janarthanan Balakrishnan, Yves Barlette, Sriparna Basu, Indranil Bose, Laurence Brooks, Dimitrios Buhalis, Lemuria Carter, Soumyadeb Chowdhury, Tom Crick, Scott W. Cunningham, Gareth H. Davies, Robert M. Davison, Rahul Dé, Denis Dennehy, Yanqing Duan, Rameshwar Dubey, Rohita Dwivedi, John S. Edwards, Carlos Flavián, Robin Gauld, Varun Grover, Mei-Chih Hu, Marjin Janssen, Paul Jones, Iris Junglas, Sangeeta Khorana, Sascha Kraus, Kai R. Larsen, Paul Latreille, Sven Laumer, F. Tegwen Malik, Abbas Mardani, Marcello Mariani, Sunil Mithas, Emmanuel Mogaji, Jeretta Horn Nord, Siobhan O'Connor, Fevzi Okumus, Margherita Pagani, Neeraj Pandey, Savvas Papagiannidis, Ilias O. Pappas, Nishith Pathak, Jan Pries-Heje, Ramakrishnan Raman, Nripendra P. Rana, Sven-Volker Rehm, Samuel Riberiro-Navarrete, Alexander Richter, Frantz Rowe, Suprateek Sarker, Bernd Carsten Stahl, Manoj Kumar Tiwari, Wil Van Der Aalst, Viswanath Venkatesh, Giampaolo Viglia, Michael Wade, Paul Walton, Jochen Wirtz, Ryan Wright
ISSCM Faculty Publications
Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organizations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is …
Application Of Business Analytics Approaches To Address Climate-Change-Related Challenges, Donald J. Jenkins
Application Of Business Analytics Approaches To Address Climate-Change-Related Challenges, Donald J. Jenkins
Graduate Doctoral Dissertations
Climate change is an existential threat facing humanity, civilization, and the natural world. It poses many multi-layered challenges that call for enhanced data-driven decision support methods to help inform society of ways to address the deep uncertainty and incomplete knowledge on climate change issues. This research primarily aims to apply management, decision, information, and data science theories and techniques to propose, build, and evaluate novel data-driven methodologies to improve understanding of climate-change-related challenges. Given that we pursue this work in the College of Management, each essay applies one or more of the three distinct business analytics approaches (i.e., descriptive, prescriptive, …
Clarifying The Role Of E-Government Trust In E-Government Success Models: A Meta-Analytic Structural Equation Modeling Approach, Apeksha Hooda, Parul Gupta, Anand Jeyaraj, Yogesh K. Dwivedi
Clarifying The Role Of E-Government Trust In E-Government Success Models: A Meta-Analytic Structural Equation Modeling Approach, Apeksha Hooda, Parul Gupta, Anand Jeyaraj, Yogesh K. Dwivedi
ISSCM Faculty Publications
E-government implementation success is of critical importance for nations. Prior information systems (IS) success models emphasize the effects of information quality, service quality, system quality, and user satisfaction but do not consider e-government trust. This study incorporates e-government trust into the IS success model and empirically tests the model on empirical findings reported in 67 prior studies using meta-analysis methods and structural equation modeling. Our analysis shows that: a) information quality, service quality, system quality, and user satisfaction influence e-government trust, and b) system use mediates the effect of e-government trust on intention to use e-government systems in the future.
Isscm Newsletter, Spring 2023, Raj Soin College Of Business, Wright State University
Isscm Newsletter, Spring 2023, Raj Soin College Of Business, Wright State University
ISSCM Newsletters
A nine page newsletter from the Department of Information Systems and Supply Chain Management in the Raj Soin College of Business at Wright State University.
Analysis Of First-Time Completion In The Field Service Environment, Gavin Rick, Scott Englerth, Marc Carter, Hayley Horn
Analysis Of First-Time Completion In The Field Service Environment, Gavin Rick, Scott Englerth, Marc Carter, Hayley Horn
SMU Data Science Review
First-time completion is an important measure of service quality and efficiency in the field service industry. Customers call upon field service providers to repair their equipment in a timely manner so it can be put back into service for their business demands. Responsiveness can be measured through first-time completion and is defined as completing the repair on the first visit of a service call. This research is exploring the first-time completion in the forklift service industry. This research found the primary factors that impact first-time completion percentage in this industry include parts on hand, parts backorder process, technician experience, and …
Business Inferences And Risk Modeling With Machine Learning; The Case Of Aviation Incidents, Burak Cankaya, Kazim Topuz, Aaron M. Glassman
Business Inferences And Risk Modeling With Machine Learning; The Case Of Aviation Incidents, Burak Cankaya, Kazim Topuz, Aaron M. Glassman
Publications
Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret and get insights into data, and to make their analytical choices accessible and subject to accountability. In the field of aviation, the innovative application of machine learning and analytics can facilitate an understanding of the risk of accidents and other incidents. These occur infrequently, generally in an irregular, unpredictable manner, and cause significant disruptions, and hence, they are classified as "high-impact, low-probability" (HILP) events. Aviation incident reports are inspected by …