This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/00251740210437734. When citing the…
Abstract
This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/00251740210437734. When citing the article, please cite: Mitchell Langbert, Hersh Friedman, (2002), “Continuous improvement in the history of human resource management”, Management Decision, Vol. 40 Iss: 8, pp. 782 - 787.
Mitchell Langbert and Hersh Friedman
Human resource management’s challenge is to improve the balance among three competing quality targets: equity, flexibility and alignment. Management of these targets has improved…
Abstract
Human resource management’s challenge is to improve the balance among three competing quality targets: equity, flexibility and alignment. Management of these targets has improved through four historical periods: the pre‐industrial, paternalist, bureaucratic and high performance. There always have been tradeoffs among the three quality targets, but the balance among them has improved through history.
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Sudha Cheerkoot-Jalim and Kavi Kumar Khedo
This work shows the results of a systematic literature review on biomedical text mining. The purpose of this study is to identify the different text mining approaches used in…
Abstract
Purpose
This work shows the results of a systematic literature review on biomedical text mining. The purpose of this study is to identify the different text mining approaches used in different application areas of the biomedical domain, the common tools used and the challenges of biomedical text mining as compared to generic text mining algorithms. This study will be of value to biomedical researchers by allowing them to correlate text mining approaches to specific biomedical application areas. Implications for future research are also discussed.
Design/methodology/approach
The review was conducted following the principles of the Kitchenham method. A number of research questions were first formulated, followed by the definition of the search strategy. The papers were then selected based on a list of assessment criteria. Each of the papers were analyzed and information relevant to the research questions were extracted.
Findings
It was found that researchers have mostly harnessed data sources such as electronic health records, biomedical literature, social media and health-related forums. The most common text mining technique was natural language processing using tools such as MetaMap and Unstructured Information Management Architecture, alongside the use of medical terminologies such as Unified Medical Language System. The main application area was the detection of adverse drug events. Challenges identified included the need to deal with huge amounts of text, the heterogeneity of the different data sources, the duality of meaning of words in biomedical text and the amount of noise introduced mainly from social media and health-related forums.
Originality/value
To the best of the authors’ knowledge, other reviews in this area have focused on either specific techniques, specific application areas or specific data sources. The results of this review will help researchers to correlate most relevant and recent advances in text mining approaches to specific biomedical application areas by providing an up-to-date and holistic view of work done in this research area. The use of emerging text mining techniques has great potential to spur the development of innovative applications, thus considerably impacting on the advancement of biomedical research.
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Abhijeet Ghadge, Samir Dani and Roy Kalawsky
This paper examines supply chain risk management (SCRM) from a holistic systems thinking perspective by considering the different typologies that have evolved as a result of…
Abstract
Purpose
This paper examines supply chain risk management (SCRM) from a holistic systems thinking perspective by considering the different typologies that have evolved as a result of earlier research. The purpose of this paper is to identify important strategic changes in the field and to outline future requirements and research opportunities in SCRM.
Design/methodology/approach
The systematic literature review (SLR) methodology employed by this research was used to evaluate and categorise a literature survey of quality articles published over a period of ten years (2000‐2010). Additionally, the findings from the SLR have been strengthened through cross validation against results obtained from an associated text mining activity.
Findings
The SLR methodology has provided a rich, unbiased and holistic picture of the advances in the field of SCRM. Consequently, important new research areas have been identified based on a multi‐perspective descriptive and thematic data analysis. In addition, the analysis, based on evolved typologies, indicates a growth of SCRM from a nascent to a fairly established activity over the past decade.
Practical implications
The systematic approach undertaken for the literature review will provide future researchers and managers with an insightful understanding of the scope of the SCRM field. Also, the literature review provides important clues on new research directions for SCRM through identification of gaps in current knowledge.
Originality/value
The holistic approach to SCRM was found to be an important missing link in earlier literature surveys. The outcome of the SLR reported in this paper has provided critical insights into the present and future scope of the SCRM field. The identified research insights, gaps and future directions will encourage new research techniques, with a view to managing the risks in the globalized supply chain environment.
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Saila Huuskonen and Pertti Vakkari
The aim of this study is to explore to which extent searching by medical students in Medline produces information items useful for writing an essay measured by precision and…
Abstract
Purpose
The aim of this study is to explore to which extent searching by medical students in Medline produces information items useful for writing an essay measured by precision and relative recall as perceived by the students, the proportion of cited items, and their utilization on four dimensions of the essay writing task evaluated by external assessors. It also aims to study interrelations of search process and outcome.
Design/methodology/approach
The study subjects were 42 third year medical students attending a class on Diagnostic and therapy. Searching in Medline was a part of their assignment of essay writing. The data consist of students' printed logs of Medline searches, students' assessments of the usefulness of the references retrieved, a questionnaire concerning the search process, and evaluation scores of the essays given by the teachers of the class. Pearson correlation coefficients were calculated for answering the research questions.
Findings
The paper finds that precision and relative recall were not associated with evaluation scores in three of the four dimensions assessed. Some of the process variables were associated with precision and with assessment scores in two of the four dimensions assessed. Citing rate was negatively associated with recall. It seems that precision and recall are only weakly, if at all, associated to the use of information in the documents retrieved for writing the essay. Precision and relative recall are not associated to the way information in the retrieved items is used for performing the task. Users evidently look for a sufficient number of documents containing enough information for progressing in their task. Precision and recall are not sufficient measures in evaluating IR systems, but they have to be completed by other measures indicating the impact of the system on users’ task performance.
Originality/value
The paper provides useful information on students' information search process.
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Abbas J. Ali and Robert C. Camp
This paper briefly discussed the emergence and evolution of evangelical capitalism. It contrasts it with traditional American capitalism. In addition, the paper identifies some…
Abstract
This paper briefly discussed the emergence and evolution of evangelical capitalism. It contrasts it with traditional American capitalism. In addition, the paper identifies some risks of evangelical capitalism in the marketplace.
Robert J. Antonio and Alessandro Bonanno
We address here how the U.S. neoliberal policy regime developed and how its reconstructed vision of modernization, which culminated, under the rubric of globalization, was…
Abstract
We address here how the U.S. neoliberal policy regime developed and how its reconstructed vision of modernization, which culminated, under the rubric of globalization, was neutralized by 9/11 and neoconservative geopolitics. We analyze the phases in the rise of neoliberalism, and provide a detailed map of its vision of global modernization at its high tide under Clinton. We also address how the Bush Doctrine's unilateral, preemptive polices and the consequent War on Terror and Iraq War eroded U.S. legitimacy as the globalization system's hegmon and shifted the discourse from globalization to empire. Cold War modernization theorists, neoliberal globalization advocates, and Bush doctrine neoconservatives all drew on an American exceptionalist tradition that portrays the U.S. as modernity's “lead society,” attaches universal significance to its values, policies, and institutions, and urges their worldwide diffusion. All three traditions ignore or diminish the importance of substantive equality and social justice. We suggest that consequent U.S. policy problems might be averted by recovery of a suppressed side of the American tradition that stresses social justice and holds that democracy must start at home and be spread by example rather than by exhortation or force. Overall, we explore the contradictory U.S. role in an emergent post-Cold War world.
Shubhada Prashant Nagarkar and Rajendra Kumbhar
The purpose of this paper was to analyse text mining (TM) literature indexed in the Web of Science (WoS) under the “Information Science Library Science” subcategory. More…
Abstract
Purpose
The purpose of this paper was to analyse text mining (TM) literature indexed in the Web of Science (WoS) under the “Information Science Library Science” subcategory. More specifically, it analyses the chronological growth of TM literature, and the major countries, institutions, departments and individuals contributing to TM literature. Collaboration in TM research is also analysed.
Design/methodology/approach
Bibliographic and citation data required for this research were retrieved from the WoS database. TM being a multidisciplinary field, the search was restricted to “Information Science Library Science” subcategory in the WoS. A comprehensive query statement covering all synonyms of “text mining” was prepared using the Boolean operator “OR”. Microsoft Excel and HistCite software were used for data analysis. Pajek and VoSviewer were used for data visualization.
Findings
It was found that USA is the major producer of TM research literature, and the highest number of papers were published in the Journal of The American Medical Informatics. Columbia University ranked first both in number of articles and citations received in the top ten institutes publishing TM literature. It was also observed that six of the top ten subdivisions of institutions are either from medicine or medical informatics or biomedical information. H.C. Chen and C. Friedman were seen to be the most prolific authors.
Research limitations/implications
The paper analyses articles on TM published during 1999-2013 in WoS under the subcategory Information Science Library Science’.
Originality/value
The paper is based on empirical data exclusively gathered for this research.