Yaman Roumani

Understanding the link between organizational learning capability and ERP system usage: An empirical examination

Although significant research attention has been directed at understanding ERP system adoption and deployment, very little attention has been paid to understanding ERP system usage among these adopting firms. This paper seeks to fill this void. We examine the concept of organizational learning capability (OLC), defined by dimensions of managerial commitment, systems perspective, openness and experimentation and transfer and integration to understand how firms can appropriate ERP systems to capture their potential benefits. Specifically, we examine the impact of OLC on ERP systems usage. We also incorporate the concept of user satisfaction to argue that OLC has an indirect effect on user satisfaction as well as a direct effect on ERP system usage. The empirical results show that OLC has a positive effect on user satisfaction. Besides, managerial commitment was found to have a positive effect on both user satisfaction and ERP system usage. Finally, user satisfaction was found to be a strong predictor of ERP system usage.

Beyond likes and tweets

Online consumer engagement behavior (CEB) affects future economic performance.CEB on Facebook and YouTube positively correlate with movie box-office revenue.Social media-based CEB is critical to improve economic performance of movie firms. This study examines the effects of social media, from the perspective of consumer engagement behavior (CEB), to investigate how CEB is associated with economic performance. Based on social media activities surrounding US movies, we used ordinary least square (OLS) regression models and found that CEB on Facebook and YouTube positively correlate with box-office gross revenue; however, the same effect was not observed on Twitter. This study proposed and tested a set of metrics for CEB on social media, and also provided empirical support for associating CEB with economic performance. The results underscore the importance of investing in social media communication across multiple channels.

Time series modeling of vulnerabilities

Vulnerability prediction models forecast future vulnerabilities and can be used to assess security risks and estimate the resources needed for handling potential security breaches. Although several vulnerability prediction models have been proposed, such models have shortcomings and do not consider trend, level, and seasonality components of vulnerabilities. Through time series analysis, this study built predictive models for five popular web browsers: Chrome, Firefox, Internet Explorer, Safari and Opera and for all reported vulnerabilities elsewhere. Results showed that time series models provide a good fit to our vulnerability datasets and can be useful for vulnerability prediction. Results also suggested that the level of the series is the best estimator of the prediction models.

Knowledge-acquisitions and post-acquisition innovation performance: a comparative hazards model

Do acquisitions lead to instrumental innovations related to the acquired knowledge? Past arguments on vertical integration espouse how a quest for knowledge drives acquisitions culminating in innovation performance. Using Google and Yahoo as cases-in-point, we examine how facets of acquired innovation knowledge impact post-innovation performance. In particular, the apparently opposing fortunes of Google and Yahoo allow us to investigate the pace of their innovation performance as a hazards model. Results from our investigation highlight Google’s ambidexterity over Yahoo with a swifter, systematic pace of innovation performance – from hastening time to patenting new ideas to the time to releasing new applications from acquisitions.

Examining the relationship between firms financial records and security vulnerabilities

We examine the correlation between firms financial records and vulnerabilities.Financial records are significantly associated with the number of vulnerabilities.There is positive correlation between vulnerabilities and firms size and performance.Vulnerabilities and marketing expenditure are positively correlated.Vulnerabilities and R&D expenditure are negatively correlated. Security vulnerabilities and breaches remain a major concern for firms as they cost billions of dollars in downtime, maintenance and disruptions. Although researchers in the fields of security and vulnerability prediction have made significant contributions, the number of vulnerabilities continues to increase. Contrary to existing vulnerability studies, this research examines vulnerabilities from a financial perspective. We explore whether firms financial records are associated with vulnerabilities. In particular, we examine the correlation between the number of vulnerabilities and each of firms size, financial performance, marketing and sales, and research and development expenditures. The empirical analysis of this study is based on data collected from 89 publicly traded technology firms over a 10-year period. Our results reveal that financial records are significantly associated with vulnerabilities. More specifically, our results show that as technology firms increase their marketing and sales expenditures, the number of vulnerabilities increases as well. Interestingly, the analysis shows that firms can counter this rise by increasing their spending on research and development. We also find a positive correlation between the number of vulnerabilities and each of firms size and performance.

The Influence of Organizational Trust and Organizational Mindfulness on ERP Systems Usage

This paper examines how organizational trust and organizational mindfulness shape enterprise resource planning (ERP) system usage. We focus on five dimensions of trust: competence, openness and honesty, concern for employees, reliability, and identification. Drawing on organizational trust and organizational mindfulness theories, we argue that perception of organizational trust among ERP users might explain ERP system usage. We also predict that organizational mindfulness among ERP users positively influences ERP system usage. Our study draws on a total of 231 questionnaires collected from ERP system users across the United States. The results suggest that organizational trust dimensions (namely, competence, concern for employees, and identification) affect ERP system usage. Consistent with the theory, the results also support the idea that organizational trust (i.e., competence, openness and honesty, concern for employees, and identification) create supportive infrastructure-enabling organizational mindfulness. Finally, the study shows key antecedents of organizational mindfulness and underscores the importance of organizational mindfulness as a way of encouraging ERP system usage.

Classifying readmissions to a cardiac intensive care unit

Research has associated intensive care unit (ICU) readmissions with increased risk of morbidity and mortality. Readmitted patients are also exposed to complications as they are transferred between hospital units. Moreover, due to their unexpected nature, readmissions increase ICU costs and the complexity of managing ICUs. Existing studies on ICU readmissions have mainly used logistic regression for identifying patients who are more likely to be readmitted. However, such studies do not account for the imbalanced nature of the data where the class of interest (readmitted patients) is the minority group. This paper empirically compares three approaches for handling the imbalanced ICU readmissions data: misclassification cost ratio, synthetic minority oversampling technique (SMOTE), and random under-sampling. We used three classification techniques for identifying patients who are more likely to be readmitted to the ICU within the same hospital stay: support vector machines, C5.0, and logistic regression. We evaluated the classification performance of the three methods using recall, specificity, accuracy, F-measure, G-mean, confusion entropy, and area under the receiver operating characteristic curve. Our results showed that SMOTE is the best approach for addressing the imbalanced nature of the data. The sensitivity analysis identified prolonged ventilation, renal failure, and pneumonia as the top three predictors of ICU readmissions. Our findings can be used to develop a decision support tool to help ICU clinicians and administrators in identifying patients who are more likely to be readmitted and hence provide the patients with the appropriate care to minimize their risk of readmission.

Adopters trust in enterprise open source vendors

We identify three trust factors in enterprise open source software (OSS) vendors.Vendors embracement of open standards, security and support influence system trust.System trust increases adopters attitudes and intentions in enterprise OSS vendors. Although significant research attention has been directed at understanding open source software (OSS) adoption, very little attention has been paid to understanding what leads potential adopters to trust enterprise open source vendors. This study identifies organizational trust factors in enterprise open source vendors, namely vendors security, embracement of open standards, and support services. It also examines the impact of system trust on adopters attitudes and intentions. The study draws upon a total of 192 questionnaires collected from enterprise IT and project managers. Our results show that trust factors have a positive effect on system trust. We also found system trust to be effective in increasing adopters attitudes and intentions. Finally, our results provide several managerial implications for organizations as well as enterprise open source vendors.

The impact of incentives on the intention to try a new technology

Persuading users to try new technologies continues to be a problem confronting organisations and technology vendors alike. To better understand the process of new technology trial and adoption, several theoretical models have been proposed, of which the Technology Acceptance Model has gained significant support. However, research concerning tangible extrinsic rewards has not been explored. The primary goal of this research is to study the impact of tangible extrinsic rewards on various aspects of an intention to engage in an initial trial of a new technology. The theoretical model was tested on 284 students as subjects in a trial of a new technology. Results suggest that such incentives may be effective in increasing the behavioural intention to try a new technology. Results also identify that when incentives are provided, perceived ease of use and usefulness are the primary drivers towards intentions to try a new technology.

Exploring ERP-enabled Technology Adoption: A Real Options Perspective

For decades, practitioners and scholars have focused on achieving optimal values in and benefits from enterprise resource planning (ERP) systems. Given that scholars have identified ERP systems as having option-like characteristics such as the capacity to create an information technology (IT) platform that enables the adoption of subsequent function-specific applications, we face a need to explore the linkage between post-ERP systems implementation and subsequent ERP-enabled technology adoption. We used real options theory to explore the underlying relationship between the initial ERP system implementation and subsequent technology adoptions. We surveyed 519 IT executives in the United States and found that the level of technology uncertainty, managerial flexibility, and formal real option analysis in ERP adoption decisions influenced the organizational relative advantage of subsequent non-ERP technologies. Our results also reveal that the level of uncertainty had a negative relationship with ERP-enabled technology adoption, while formal real option analysis in ERP adoption decisions positively influenced ERP-enabled adoption.