BMC Cardiovasc Disord. M Though, invitation to participate e-mails are sent to 1035 students, only 359 members responded back with filled questionnaires. 2002;19:175–218. Big data: the next frontier for innovation, competition, and productivity. Even though the total number of cases (359) is significant to the population (1035 students) and it allowed robust statistical analysis, it is still a small number to provide a broader generalization. Read the latest articles of Science of The Total Environment at ScienceDirect.com, Elsevier’s leading platform of peer-reviewed scholarly literature The Journal of Institutional Economics is devoted to the study of the nature, role and evolution of institutions in the economy, including firms, states, markets, money, households and other vital institutions and organisations. 2015. http://bit.ly/1nL8k7g. If you have access to a journal via a society or association membership, please browse to your society journal, select an article to view, and follow the instructions in this box. Kenny DA, Judd CM. Baechle C, Agarwal A, Behara R, Zhu X. PLoS ONE. The journal publishes in two sections: a section on the collection, treatment and analysis methods of data in science; a section publishing descriptions of scientific and scholarly datasets (one dataset per paper). However, binary classification systems often do not inherently offer this additional information. CiteScore values are based on citation counts in a range of four years (e.g. Int J Mobile Commun. The other attributes of OLC are managerial commitment, system perspective, openness and experimentation and transfer and integration. Learning is an important component in the organizational context as it enables innovation for competitive advantage creation and expansion [74]. Measuring user attitudes in mis research: a review. 2012;41(6):784–9. A theoretical extension of the technology acceptance model: four longitudinal field studies. The adoption of big data analytics is an important field in the literature through exploring its adoption using either the TAM framework or the OLC model separately or together would represent a significant contribution. Though the study has certain limitations, it paves strong path for future analysis. Hypothesis 4b: System perspective positively relates to the intended usage of big data analytics. . VIF The concept of organisational learning is often ambiguous due to diverse origins and wide applicability [76]. Big data and analytics in higher education: opportunities and challenges. Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, Byers AH. For Model 3, β Thus, among the total number of students, 34% (359) responded back. Big data analytics: does organizational factor matters impact technology acceptance?. But, the early studies noticed that many successfully implemented cases failed as they replicated the same technology in a different scenario. The omission of a term in unstructured text is assumed to be purposeful and missing values, whether intentional or unintentional, are represented by the number zero. Many researchers have adapted and extended the TAM to include additional variables, such as effectiveness [65], uncertainty avoidance and intrinsic motivation [66], organizational beliefs [67] etc. According to Al Neimat [101], IT projects frequently fail to meet original objectives, running over budget, time and scope in spite of the measures to overcome this situation. Principles and practice of structural equation modeling. The raw scores of the factor scales are converted in summated scales by the arithmetic mean of the items of each construct. The questions to assess this dimension are the following: olcOe1 is “My company promotes experimentation and innovative ideas as a way of improving business processes”, olcOe2 is “My company follows up on the activities of other companies within the sector and is willing to adopt those practices and techniques that it believes to be useful and interesting”, olcOe3 is “Experience and ideas provided by external sources (clients, consulting firms, etc.) Correspondence to Harv Bus Rev. Khan HU. Measuring classifier performance: a coherent alternative to the area under the ROC curve. Discharge summaries are gathered and sent to Apache cTAKES for annotation. To test the hypothesis of this study, a cross-sectional survey is a suitable research method as it enables the collection of large amount of data from a sizable population in an economical way [18]. Organisations with no common identity and clear objectives fail to transfer and integrate knowledge from the individual level to the organisational level (Kim [83]. Expected readmissions rate is considered constant as it is set by CMS. 2015;13(1):30–41. Sentiment measured in hospital discharge notes is associated with readmission and mortality risk: an Electronic Health Record Study. Figure 11 reports the respondents’ perception of commitment for knowledge transfer and integration. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Need for RADAR system utilisation for maritime traffic management: a case of Congo River Basin. This study provides useful insights as results of integration of two technology adoption frameworks aimed to explain the adoption of big data analytics. Futoma J, Morris J, Lucas J. in Information Systems and Management (36.8%) followed by M.Sc. This system consists of a simple questionnaire to be completed by medical staff. is the intercept, β 2 > 0.50). First and foremost is the overuse of TAM to explain system usage. Many current systems are additionally known to have poor discriminative ability. If ERR ≤ 0, no additional HRRP penalties are incurred and resources for preventing readmission can be diverted elsewhere. J R Soc Med. TAM is often criticized as it does not account for other factors of technology adoption [70]. To do so, it aims to test a set of hypotheses using quantitative research approach with the help of mathematical modelling and statistical analysis [16, 17]. Bailey JE, Pearson SW. Development of a tool for measuring and analyzing computer user satisfaction. Hoffman J. Overview of CMS readmissions penalties for 2016. Hence, it could be argued that TAM can suffer endogeneity or a strong correlation of the independent variable (actual technology usage) with the error term (unknown variables) in the statistical test. Information technology and organizational learning: a review and assessment of research. Christopher Baechle. Flowchart of selecting optimal number of patients for which to provide post-discharge care. These penalties often exceed potential reimbursement and have motivated hospitals to work towards readmission reduction [3]. When a new patient is added to our model and the ground truth readmission status is known to be a readmission, R increases by 1, P increases by 1, and the DRG increases by the cost of that patient. Velocity refers to the rate or speed with which the data is generated and processed. H1: Perceived ease of usage is positively related to the intended usage of big data analytics. Accessed 11 Oct 2016. Big data: the next frontier for innovation, competition, and productivity. Bollen KA. Identifying the linkability between web servers for enhanced internet computing, 17th IEEE Mediterranean electrotechnical conference MELECON, Beirut, Lebanon, 13–16 April 2014; 2014. The factors F1 to F3 refer to the technology acceptance model (TAM) [9, 20] while factors F4 to F7 incorporate the dimensions of organizational learning capabilities (OLC) [21] into the independent variable. The final model fit for the multi-item scales [χ2 (75.2, N = 359) p > 0.001; GFI > 0.96; NFI > 0.98; CFI > 0.98; RMSEA = 0.052], which are in the expected range [93]. Khan HU, Awan MA, Ho HC. Terms and Conditions, To address this problem, patients are now encouraged to have their prescriptions filled directly at hospital pharmacies. Even though, any technology adoption presents a learning curve, the dimensions of OLC in technology adoption are often overlooked by the literature. Although cost as a performance metric may offer a clear alternative to c-statistic, its use in HRPS has been limited. 32, No. Hypothesis 3b: Managerial commitment positively relates to the intended usage of big data analytics. They also have a positive impact on the big data. Contact us if you experience any difficulty logging in. Boston: Morgan Kaufmann; 2013. IBM commercial the road: intelligent data management and analytics; 2010. http://www.dailymotion.com/video/xdaoae_ibm-commercial-the-road-intelligent_tech. A critical review of the technology acceptance model. Newnes; 2013. Many HRPS use binary classification labels when predicting readmission [9, 14, 17, 32,33,34,35]. Figure 7 summarizes the procedures followed in research methods and realization. Int J Bus Inf Syst. Senge PM, Suzuki J. Department of Computer Science, University of Liverpool, Liverpool, UK, Department of Accounting and Information Systems, Qatar University, Doha, Qatar, You can also search for this author in This study uses structural equation modelling and multivariate regression using ordinary least squares estimation to test the proposed hypotheses using the latest statistical software R. It is proved from the analysis that compared to other models, model 4 (which is constructed by using the constructs of OLC and TAM frameworks) is able to explain 44% variation in the usage pattern of big data. Journal of Physical and Chemical Reference Data provides critically evaluated physical and chemical property data, fully documented as to the original sources and the criteria used for evaluation, preferably with uncertainty analysis. , is the change of slope for olcMcDic, olcSpDic, olcOeDic, and OlcTiDic at 1 (above average OLC). The unified medical language system (UMLS): integrating biomedical terminology. 2013;2(3):90–6. Hassan IM, Khan HU, Zaitun R, Mardini G. Pedagogical potentials of IEEE 802.11 WLAN to higher educational institutions: a case study of Nigerian based University, IEEE 9th International conference on semantic computing (IEEE ICSC 2015), Anhaim, CA, USA, 7–9 Feb 2015; 2015. Br J Edu Technol. A significant number of these individuals are readmitted within 30-days, and many of those readmissions are avoidable. It is a crucial factor as the top management play an important role by providing support and resources to implement new technologies [22]. Distribution, data, deployment: software architecture convergence in big data systems. Amoako-Gyampah K, Salam AF. 2014;74:2561–73. This problem could be a result of model misspecification, excessive residuals or multicollinearity. Possible impact of mobile banking on traditional banking: a case study of Nigeria, Northeast Decision Sciences Institute Conference, Alexandria, Virginia, USA, March 31–April 2 2016; 2016. Privacy As shown in Fig. Nonaka I. 2016;20(1):68–84. Although unstructured data as a primary data source for hospital readmission systems has historically seen little adoption, advances in clinical NLP have helped increase adoption among researchers [10, 20, 26,27,28,29]. 6). Small data samples are often cited as a primary reason for poor model performance. An assessment of the impact of mobile banking on traditional banking in Nigeria. Ethical approval is obtained from University of Liverpool, UK through DA. Given Figure 2 and that most journals have not increased space that much, acceptance rates in many … represents the probable number of readmissions that will still occur even though a home healthcare professional has been assigned. in Information Systems and Management (34.26%). 2009;77(1):103–23. This index can be widely applied to the productivity and impact of a scholarly journal, individual researcher or a group of scientists, such as a department or university or country. Electron J e-Learn. The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. 7 shows NB classification to stop classifying patients for intervention far before optimal. It is being explored in all dimensions of business, government and health care that due to collection and storage, there is growth of voluminous data [7, 8]. Khan HU, Fournier-Bonilla SD, Jinugu A, Madhavi Lalitha VV. CAPRA: a comprehensive approach to product ranking using customer reviews. 2016;24(1):116–34. Inf Sci. Jerez-Gomez P, Céspedes-Lorente J, Valle-Cabrera R. Organizational learning capability: a proposal of measurement. Advanced IT devices, social media services and corporate information systems are continuously churning out very large amounts of structured and unstructured data and businesses are increasingly facing challenges in managing and capitalizing to their advantage. Ejike AC, Khan HU, Fournier-Bonilla SD. 64 ] mediated communication in affect empowerment and performance improvement these errors in the preference centre calculation... Learning models tailored to each patient readmission system, has been popular with clinical staff due to origins... Rs, Mulpura s, Ravindra P, Ingham J, Delaney KA Wal-Mart generates about 2.5 per. 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