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Peter Ractham is an associate professor and an Associate Dean for Research and International Affairs for Thammasat Business School, Bangkok, Thailand.
Online reviews contain many vital insights for quality management, but the volume of content makes identifying defect-related discussion difficult. This paper critically assesses multiple approaches for detecting defect-related discussion, ranging from out-of-the-box sentiment analyses to supervised and unsupervised machine-learned defect terms. We examine reviews from 25 product and service categories to assess each method’s performance. We examine each approach across the broad cross-section of categories as well as when tailored to a singular category of study. Surprisingly, we found that negative sentiment was often a poor predictor of defect-related discussion. Terms generated with unsupervised topic modeling tended to correspond to generic product discussions rather than defect-related discussion. Supervised learning techniques outperformed the other text analytic techniques in our cross-category analysis, and they were especially effective when confined to a single category of study. Our work suggests a need for category-specific text analyses to take full advantage of consumer-driven quality intelligence.
Nohel Zaman; David M. Goldberg; Richard J. Gruss; Alan S. Abrahams; Siriporn Srisawas; Peter Ractham; Michelle M.H. Şeref. Cross-Category Defect Discovery from Online Reviews: Supplementing Sentiment with Category-Specific Semantics. Information Systems Frontiers 2021, 1 -21.
AMA StyleNohel Zaman, David M. Goldberg, Richard J. Gruss, Alan S. Abrahams, Siriporn Srisawas, Peter Ractham, Michelle M.H. Şeref. Cross-Category Defect Discovery from Online Reviews: Supplementing Sentiment with Category-Specific Semantics. Information Systems Frontiers. 2021; ():1-21.
Chicago/Turabian StyleNohel Zaman; David M. Goldberg; Richard J. Gruss; Alan S. Abrahams; Siriporn Srisawas; Peter Ractham; Michelle M.H. Şeref. 2021. "Cross-Category Defect Discovery from Online Reviews: Supplementing Sentiment with Category-Specific Semantics." Information Systems Frontiers , no. : 1-21.
This study provides insights into the initial and post-adoption of cloud computing services by integrating information technology adoption, social influence, trust, security, and information systems quality theories. Social influence, hedonicity, and automaticity are hedonic predictors of user satisfaction with cloud computing services. Perceived risks, trust in the provider, and system quality are utilitarian predictors of user satisfaction with cloud computing services. The Partial Least Squares (PLS) was employed to test eight hypotheses on the causal relationships between the variables. Six out of eight hypotheses were supported. Hedonic factors appear to have more influence than the utilitarian factor of increasing user satisfaction with cloud computing services in the school setting. The findings lead to both theoretical and practical implications for improving the initial and post-adoption of cloud computing services.
Juthamon Sithipolvanichgul; Charlie Chen; Judy Land; Peter Ractham. Enhancing User Experiences with Cloud Computing via Improving Utilitarian and Hedonic Factors. Energies 2021, 14, 1822 .
AMA StyleJuthamon Sithipolvanichgul, Charlie Chen, Judy Land, Peter Ractham. Enhancing User Experiences with Cloud Computing via Improving Utilitarian and Hedonic Factors. Energies. 2021; 14 (7):1822.
Chicago/Turabian StyleJuthamon Sithipolvanichgul; Charlie Chen; Judy Land; Peter Ractham. 2021. "Enhancing User Experiences with Cloud Computing via Improving Utilitarian and Hedonic Factors." Energies 14, no. 7: 1822.
This study investigates the relationships between three dimensions of competitive priorities (customer focus, product innovation and delivery) and how Asian manufacturers manage and develop their employees and the consequent effect on sustainable manufacturing performance. Three dimensions of manufacturing performance are considered in this study—quality performance, production flexibility and operations cost. This study uses 259 datasets collected from manufacturers in four Asian countries. Structural equation modeling and mediation analysis are performed to test the relationships. Results show that there is a significant positive and mediating relationship between the competitive priority of product innovation, employee management and development, quality performance, production flexibility and operation cost. However, such significant relationships do not exist with competitive priorities of customer focus and delivery. Organizations are constantly faced with the problem of determining which competitive priorities to focus on. However, different competitive priorities have different effects on how the employees are managed and developed, and ultimately, on organizational performance and competitiveness. There is a need to focus on innovation-led strategies that relate to sustainable outcomes. This is one of the first studies in Asia to understand the multilateral relationships between different competitive priorities and different performance dimensions when employee management and development intermediate.
Dotun Adebanjo; Pei-Lee Teh; Pervaiz K Ahmed; Erhan Atay; Peter Ractham. Competitive Priorities, Employee Management and Development and Sustainable Manufacturing Performance in Asian Organizations. Sustainability 2020, 12, 5335 .
AMA StyleDotun Adebanjo, Pei-Lee Teh, Pervaiz K Ahmed, Erhan Atay, Peter Ractham. Competitive Priorities, Employee Management and Development and Sustainable Manufacturing Performance in Asian Organizations. Sustainability. 2020; 12 (13):5335.
Chicago/Turabian StyleDotun Adebanjo; Pei-Lee Teh; Pervaiz K Ahmed; Erhan Atay; Peter Ractham. 2020. "Competitive Priorities, Employee Management and Development and Sustainable Manufacturing Performance in Asian Organizations." Sustainability 12, no. 13: 5335.
In recent times, social media has been increasingly playing a critical role in response actions following natural catastrophes. From facilitating the recruitment of volunteers during an earthquake to supporting emotional recovery after a hurricane, social media has demonstrated its power in serving as an effective disaster response platform. Based on a case study of Thailand flooding in 2011 – one of the worst flooding disasters in more than 50 years that left the country severely impaired – this paper provides an in-depth understanding on the emergent roles of social media in disaster response. Employing the perspective of boundary object, we shed light on how different boundary spanning competences of social media emerged in practice to facilitate cross-boundary response actions during a disaster, with an aim to promote further research in this area. We conclude this paper with guidelines for response agencies and impacted communities to deploy social media for future disaster response. © 2016 Wiley Publishing Ltd
Yenni Tim; Shan L. Pan; Peter Ractham; Laddawan Kaewkitipong. Digitally enabled disaster response: the emergence of social media as boundary objects in a flooding disaster. Information Systems Journal 2016, 27, 197 -232.
AMA StyleYenni Tim, Shan L. Pan, Peter Ractham, Laddawan Kaewkitipong. Digitally enabled disaster response: the emergence of social media as boundary objects in a flooding disaster. Information Systems Journal. 2016; 27 (2):197-232.
Chicago/Turabian StyleYenni Tim; Shan L. Pan; Peter Ractham; Laddawan Kaewkitipong. 2016. "Digitally enabled disaster response: the emergence of social media as boundary objects in a flooding disaster." Information Systems Journal 27, no. 2: 197-232.