Papers by Shadi Shuraida
Foundations and Trends® in Information Systems, 2018
Proceedings of the Annual Hawaii International Conference on System Sciences, 2022
European Journal of Information Systems, 2008
IS analysts need to acquire knowledge about users’ work processes to design high-quality systems.... more IS analysts need to acquire knowledge about users’ work processes to design high-quality systems. While researchers have proposed hands-on activities in cognitive learning theories to improve knowledge acquisition, current approaches rely on analysts verbally communicating with users or observing them perform their tasks in order to learn these work processes. We draw on social cognitive theory (SCT) to hypothesize and examine how effectively two learning approaches (an observation-only approach and an observation plus hands-on approach) help analysts better understand users’ computer-mediated work processes. Accordingly, we conducted an experimental study to compare these two learning approaches. We found that, while participants who had low prior domain knowledge about users’ work processes ended up understanding them better in the observation plus hands-on treatment than in the observationonly treatment, the difference between the two approaches was not significant for participan...
International Journal of Production Economics, 2016
European Journal of Information Systems, 2008
About 20 years ago, Markus and Robey noted that most research on IT impacts had been guided by de... more About 20 years ago, Markus and Robey noted that most research on IT impacts had been guided by deterministic perspectives and had neglected to use an emergent perspective, which could account for contradictory findings. They further observed that most research in this area had been carried out using variance theories at the expense of process theories. Finally, they suggested that more emphasis on multilevel theory building would likely improve empirical reliability. In this paper, we reiterate the observations and suggestions made by Markus and Robey on the causal structure of IT impact theories and carry out an analysis of empirical research published in four major IS journals, Management Information Systems Quarterly (MISQ), Information Systems Research (ISR), the European Journal of Information Systems (EJIS), and Information and Organization (I&O), to assess compliance with those recommendations. Our final sample consisted of 161 theory-driven articles, accounting for approximately 21% of all the empirical articles published in these journals. Our results first reveal that 91% of the studies in MISQ, ISR, and EJIS focused on deterministic theories, while 63% of those in I&O adopted an emergent perspective. Furthermore, 91% of the articles in MISQ, ISR, and EJIS adopted a variance model; this compares with 71% from I&O that applied a process model. Lastly, mixed levels of analysis were found in 14% of all the surveyed articles. Implications of these findings for future research are discussed.
No research to date has attempted to assess the extent to which Markus and Robey's (1988) obs... more No research to date has attempted to assess the extent to which Markus and Robey's (1988) observations about the causal structure of IT impact theories still hold true today; neither investigate whether or not their recommendations have inspired IT impact theorists. The present study is a first step toward filling these gaps.
medifas.net
Combining and extending IS and OM research, this study examines the impact of different types of ... more Combining and extending IS and OM research, this study examines the impact of different types of IS enabled integrations on firm performance under supply and demand uncertainty. We consider a Supply chain composed of two stages where a manufacturer ...
Conference Proceedings by Shadi Shuraida
Administrative Sciences Association of Canada Conference - IS Division Proceedings, 2007
Conference Presentations by Shadi Shuraida
Lecture Notes in Business Information Processing, 2019
** Proceedings of our talk given at the Workshop on e-Business 2018, Santa Clara, CA **
"Big D... more ** Proceedings of our talk given at the Workshop on e-Business 2018, Santa Clara, CA **
"Big Data" marks one of the biggest opportunities and also challenges of modern day organizations. Not all data is equal-only some contain insights. To make sound decisions, firms need not only process data, but also extract meaningful information, and present it in such a way that can illuminate perceptions. Intrigued by this topic's current challenges, this study examines how varied methods of providing information affect collaborative decision-making performance. To examine the research question, an electronic platform in the laboratory is designed to implement a collaborative decision-making experiment using game theory. Experimental economics is used as the main research methodology, featuring financial incentives in the experiments in order to induce subjects' rationally strategic behaviors. The research wishes to yield meaningful insights that bear implications for many contexts, most important of which are inter-and intra-organizational decision making, and group collaboration.
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Papers by Shadi Shuraida
Conference Proceedings by Shadi Shuraida
Conference Presentations by Shadi Shuraida
"Big Data" marks one of the biggest opportunities and also challenges of modern day organizations. Not all data is equal-only some contain insights. To make sound decisions, firms need not only process data, but also extract meaningful information, and present it in such a way that can illuminate perceptions. Intrigued by this topic's current challenges, this study examines how varied methods of providing information affect collaborative decision-making performance. To examine the research question, an electronic platform in the laboratory is designed to implement a collaborative decision-making experiment using game theory. Experimental economics is used as the main research methodology, featuring financial incentives in the experiments in order to induce subjects' rationally strategic behaviors. The research wishes to yield meaningful insights that bear implications for many contexts, most important of which are inter-and intra-organizational decision making, and group collaboration.
"Big Data" marks one of the biggest opportunities and also challenges of modern day organizations. Not all data is equal-only some contain insights. To make sound decisions, firms need not only process data, but also extract meaningful information, and present it in such a way that can illuminate perceptions. Intrigued by this topic's current challenges, this study examines how varied methods of providing information affect collaborative decision-making performance. To examine the research question, an electronic platform in the laboratory is designed to implement a collaborative decision-making experiment using game theory. Experimental economics is used as the main research methodology, featuring financial incentives in the experiments in order to induce subjects' rationally strategic behaviors. The research wishes to yield meaningful insights that bear implications for many contexts, most important of which are inter-and intra-organizational decision making, and group collaboration.