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The rapid evolution of Internet technology has created the ability to disseminate new information nearly instantaneously to a world‐wide audience. Many business and finance organisations have already applied this capability. Examples are real‐time stock quotes, on‐line news wires and e‐commerce.

Five prominent consultants—Susan Baerg Epstein, James Rush, Jose‐Marie Griffiths, Rob McGee, and Wilson Stahl—address the development and use of the request for proposals (RFPs) in the library automation procurement process. Most consultants agree that the RFP is an effective means of selecting a system, if used properly. But it can be misused, is frequently substituted for sound judgment and intelligent decision making on the part of library staff, and is expensive. Librarians often focus so much on preparing the RFP that the goals of the planning process are lost. The preparation of the RFP is only one step in the procurement and installation process. It should be viewed as one intermediate objective, which must be coordinated with others to achieve successful results.

Term suggestion is a very useful information retrieval technique that tries to suggest relevant terms for users' queries, to help advertisers find more appropriate terms relevant to their target market. This paper aims to focus on the problem of using several semantic analysis methods to implement a term suggestion system.

Three semantic analysis techniques are adopted – latent semantic indexing (LSI), probabilistic latent semantic indexing (PLSI), and a keyword relationship graph (KRG) – to implement a term suggestion system.

This paper shows that using multiple semantic analysis techniques can give significant performance improvements.

The suggested terms returned from the system may be out of date, since the system uses a batch processing mode to update the training parameter.

The paper shows that the benefit of the techniques is to overcome the problems of synonymy and polysemy over the information retrieval field, by using a vector space model. Moreover, an intelligent stopping strategy is proposed to save the required number of iterations for probabilistic latent semantic indexing.

It is widely recognized by scholars that superhero stories tend to glorify vigilante justice; after all, these stories often maintain that extralegal acts of violence are necessary for combatting existential threats to personal and public safety. This scholarly common sense fosters a widespread dismissal of superhero stories as uncomplicated apologia for an authoritarian politics of law and order that is animated by hatred of unpopular people and ideas. However, some prominent contemporary Batman stories, including those told in the graphic novels of Grant Morrison and in the blockbuster movies of Christopher Nolan, are ambivalent: in their portraits of Batman and Joker as dark twins and secret colleagues, these stories both legitimize and challenge the countersubversive politics of American law and order.

Students need to know basic capital budgeting techniques to value INFINITI and its competitors. Issues include how to: handle taxes in a discounted cash flow analysis when valuing an S Corp. where incentives depend on current (known) and future (unknown) tax provisions; value a firm using comparable multiples analysis and transactions data; assess the costs and benefits of acquiring a firm versus being acquired; and analyze an industry and perform a ratio and financial statement analysis.

The case information was obtained through interviews with co-founder Mark Schwaiger. In addition, the authors researched industry and comparable company data, along with current events relating to the professional employer organization (PEO). Financial data was obtained from the owners and competitor data was obtained from Thomson One and Bloomberg.

INFINITI HR was a PEO providing comprehensive human resources to their clients. Co-founders Scott Smrkovski and Mark Schwaiger were at a crossroads at the end of 2015 trying to determine the best course of action to take with their company to grow and prosper. One option was for INFINITI to be acquired by a larger company and the second option was for INFINITI acquire a smaller company. In this case, students have the opportunity to do a financial analysis and evaluation of INFINITI and its competitors to determine which option is the best.

This case is intended for an advanced undergraduate or an MBA corporate finance class.

The purpose of this paper is to understand the dark side of blockchain technology (BCT) adoption in small and mid-size enterprises. The focus of the authors is to decode the intricate relationship among the selected variables missing in the existing literature.

A focused group approach is initiated by the authors to identify the barriers. Total interpretive structural modeling, Matrice d'impacts croisés multiplication appliquée á un classment, that is, matrix multiplication applied to classification and decision-making trial and evaluation laboratory are used to analyze the complex relationships among identified barriers.

This study finds that implementation of BCT reduces maintenance cost by withdrawing manual effort, as BCT has better capability to quantify the internal status of the system (observability characteristic). The observability characteristic of BCT provides high compatibility to the system. This study also finds that the compatibility of BCT with the organization reduces implementation cost and facilitates project management. The findings of this study recommend analyzing maintenance cost and compatibility of BCT before implementing it. Small and mid-size enterprises can select complex BCT depending on the sophistication level of IT usage and IT project management capabilities.

This study comes with various limitations, where the model developed by the authors may not be conclusive, as it is based exclusively on expert opinion. The samples collected may not help in validating the model statistically. Though the model has its limitations, it can still be considered as a nascent initiative for further investigation using structural equation modeling.

The outcomes of the theoretical and managerial contributions of the study can be categorized into three levels. This study can be used both by the industrialists and researchers to understand the barriers and the recovery methods thereafter. Suggestions that serve as future directives are also discussed by the authors.

MY MAIDEN NAME was Lamb and this, I think, was the tenuous thread that first drew me towards Charles Lamb when I was in my teens. His letters and essays were compulsory reading at school as a background study to the Romantic poets. My heart warmed to Lamb because of the revelation of his personality in his writings and for the glimpses he gave of his contemporaries, seeming to welcome the reader into the charmed circle of his friends. If I had been restricted to a classroom study of the Tales from Shakespeare, with which his name is first associated in the minds of many readers, I might never have gone on to discover the warmth of his humanity and the sparkle of his humour that glow from his letters and essays. In this year of the 200th anniversary of his birth I hope that many readers will turn back to these writings to renew acquaintance with Charles Lamb as I have done and find the same endearing qualities that won my affection in adolescence.