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This paper aims to determine the current usage of next generation online public access catalogs (OPACs) and discovery tools in academic libraries in the USA and Canada.

Using the same random sample of 260 colleges and universities in the USA and Canada from their original study, the authors revisited each institution's library web page to ascertain whether the OPAC interface(s) offered were the same or different than in their initial data collection. Data was collected and analyzed in October and November 2011.

Discovery tool use has practically doubled in the last two years, from 16 percent to 29 percent. A total of 96 percent of academic libraries using discovery tools still provide access to their legacy catalog. The percentage of institutions using ILS OPACs with faceted navigation has increased from 2 percent to 4 percent. Combining the use of discovery tools and faceted OPACs, at least 33 percent of academic libraries are now using a faceted interface. Discovery tools that aim to be the “single point of entry for all library resources” are the most recently popular.

About 16 percent of the institutions (n=43) in the sample either did not have web sites or did not provide access to their online catalogs. Thus, some data might be underreported.

The findings identify trends that may inform academic libraries in the quest to providing next generation interfaces to their varied resources.

This study gives a timely update of next generation catalog (NGC) and discovery tool usage in academic libraries in the USA and Canada.

The study described in this paper aims to identify the progress made in the efforts to model current online public access catalogs (OPACs) after the next generation catalog (NGC) in academic libraries in the USA and Canada.

A random sample of 260 colleges and universities was selected from Peterson's Guide to Four‐Year Colleges 2009, an estimated 10 percent of the total population of 2,560 listed academic institutions. A checklist of 12 features of the NGC was used to evaluate the OPACs of the 260 libraries in the sample. The authors took as the OPAC that which the library linked to as its “catalog,” even though some might be more properly considered “discovery tools” or “discovery layers.” Some libraries used more than one OPAC interface simultaneously; in this case, each OPAC was analyzed separately. In the case of several institutions using the same consortial OPAC, only the first instance of the OPAC was analyzed. About 15 percent of the institutions (n=40) in the sample either did not have web sites or did not provide access to their online catalogs. In all, a total of 233 unique instances of OPACs were analyzed. Data were collected from September 2009 through July 2010. The findings can be extrapolated to the population at the 95 percent confidence level with a confidence interval of ±3.

While bits and pieces of the next generation catalog are steadily working themselves into the current catalog, academic libraries still have a long way to go. About 16 percent of the OPACs in the sample did not show any advanced features of the NGC. More than half of the libraries (61 percent) had only one to five advanced features in their OPACs. Many of those with six or more NGC features were discovery tools. Only 3 percent of the OPACs in the sample (n=8) demonstrated seven to ten out of the 12 functionalities of the NGC, and they were instances either of WorldCat Local or Summon. The weak areas were federated searching, relevance based on circulation statistics, and recommendations based on patron transactions.

This is the first and only study on a large scale conducted thus far that evaluates the progress towards the NGC in academic libraries in the USA and Canada. The findings help academic librarians to recognize and pin‐point the weak links in implementing a true next generation catalog.

The purpose of this paper is to discuss the latest information on cloud computing in a library context.

The paper adopts an investigative approach including literature review and vendor‐provided information.

Cloud computing is both a trend and technology to deliver software and hardware as a service, not as a product. It involves a centralized data center, virtual server space, and secure transfer of data over the internet. The alleged advantages of cloud computing include low cost to own (CTO), agile updates, openness, zero initial investment, just to name a few. Lately library system vendors have begun to deliver cloud computing options. For instance, Ex Libris will release Alma in early 2012. It is an Integrated Library System with a discovery layer based on cloud computing. Amazon (Elastic Compute Cloud called Amazon EC2) and other vendors also offer virtual servers for cloud computing and charge customers by hours, usage, and capacity. If this trend continues for the next several years, it is just a matter of time before librarians will face the decision as to whether they should move into compute cloud.

The paper discusses this new trend, focusing on the pros and cons of moving into cloud computing for libraries.

The purpose of this paper is to evaluate and compare open source and proprietary discovery tools and find out how much discovery tools have achieved towards becoming the next generation catalog.

The paper summarizes characteristics of the next generation catalog into a check‐list of 12 features. This list was checked against each of seven open source and ten proprietary discovery tools to determine if those features were present or absent in those tools.

Discovery tools have many next generation catalog features, but only a few can be called real next generation catalogs. Federated searching and relevancy based on circulation statistics are the two areas that both open source and proprietary discovery tools are missing. Open source discovery tools seem to be bolder and more innovative than proprietary tools in embracing advanced features of the next generation catalog. Vendors of discovery tools may need to quicken their steps in catching up.

It is the first evaluation and comparison of open source and proprietary discovery tools on a large scale. It will provide information as to exactly where discovery tools stand in light of the much desired next generation catalog.

This study aims to ascertain the trends and changes of how academic libraries market and deliver information literacy (IL) on the web.

The author compares the findings from two separate studies that scanned the Web sites for IL-related activities in 2009 and 2012, respectively.

Academic libraries intensified their efforts to promote and deliver IL on the web between 2009 and 2012. There was a significant increase in IL-related activities on the web in the three-year period.

The findings describe the status quo and changes in IL-related activities on the libraries’ Web sites. This information may help librarians to know what they have been doing and if there is space for improvement.

This is the only study that spans three years in measuring the progress librarians made in marketing and delivering IL on the Web.

This paper systematically evaluates the existing literature of innovations in freight transport, including all modes, to uncover the key research themes and methodologies employed by researchers to study innovations and their implications in this industry. It analyses the role of transport and the impact of innovations during crises, such as COVID-19.

Qualitative and quantitative analysis of the innovations in freight transport unravels the pre-requisites of such endeavours in achieving a resilient and sustainable transport network that effectively and efficiently operates during a crisis. The authors performed keyword co-occurrence network (KCON) analysis and research focus parallelship network (RFPN) analysis using BibExcel and Gephi to determine the major resulting research streams in freight transport.

The RFPN identified five emerging themes: transport operations, technological innovation, transport economics, transport policy and resilience and disaster management. Optimisation and simulation techniques, and more recently, artificial intelligence and machine learning (ML) approaches, have been used to model and solve freight transport problems. Automation innovations have also penetrated freight and supply chains. Information and communication technology (ICT)-based innovations have also been found to be effective in building resilient supply chains.

Given the growth of e-commerce during COVID-19 and the resulting logistics demand, along with the need for transporting food and medical emergency products, the role of automation, optimisation, monitoring systems and risk management in the transport industry has become more salient. Transport companies need to improve their operational efficiency using innovative technologies and data science for informed decision-making.

This paper advises researchers and practitioners involved in freight transport and innovation about main directions and gaps in the field through an integrated approach for evaluating research undertaken in the area. This paper also highlights the role of crisis, e.g. COVID-19, and its impacts on freight transport. Major contributions of this paper are as follows: (1) a qualitative and quantitative, systematic and effective assessment of the literature on freight transport through a network analysis of keywords supplemented by a review of the text of 148 papers; (2) unravelling major research areas; (3) identifying innovations in freight transport and their classification as technological and non-technological and (4) investigating the impact of crises and disruptions in freight transport.

The purpose of this paper is to investigate how institutional mechanisms operate within both formal and informal channels of cross-border remittance.

Face-to-face interviews were conducted with Myanmar migrants mostly working in Thailand. Thematic coding was used to analyze field notes and identify themes in channel member perceptions and institutional environmental process.

Informal money transfer channels have achieved higher levels of legitimacy when compared to formal channels. Channel legitimacy is a more important attribute than efficiency. Lack of financial infrastructure, such as bank branches and ATM machines particularly in rural or outlying areas of Myanmar, the requirements for formal documentation and language and communication are the major institutional constraints that encourage the development and use of multiple channels in Myanmar. Formal money transfer channels develop with stronger regulative institutional processes, whereas informal money transfer channels develop with stronger cultural-cognitive and normative institutional processes.

Using convenience sample of remitters mainly from one area of Thailand and other channel members from Yangon, the financial capital of Myanmar, may limit the applicability of the findings, which calls for future research.

Banks and money transfer offices need to improve legitimacy perception within migrant communities by building stronger networks with local banks and international banks. They could provide Myanmar speaking front-line service personnel and include brochures in the Myanmar language to improve the communication process. The findings and recommendations from this study are also applicable to informal channels and formal financial institutions in other ASEAN countries that are preparing to make investments in Myanmar. Moreover, Myanmar banks should also consider opening branches to cater for Myanmar workers in ASEAN, especially in Thailand, Singapore and Malaysia.

This paper applies institutional theory within channels, investigates the context of a financial channel rather than a product channel, addresses the importance of institutional environmental mechanisms and constraints in influencing channel behavior and is embedded in the situational context of Myanmar, a newly opened South-East Asian economy where little prior research has been conducted.

The purpose of this paper is to examine and model the in-plant operational efficiency of tow trucks of an automobile manufacturing plant. Even though, tow trucks contribute toward the improvement of operational performance, little case-based evidence prevail in the literature. For this purpose, a case study has been conducted in an Indian automobile manufacturer to address the prevailing issues in material handling (MH).

Initially, this paper focuses on grouping of the sequence parts and finding the shortest path among the groups. To elucidate this, an analytical framework based on the distance and stuffing quantity is proposed. A fuzzy Dijkstra’s algorithm is used to solve the issues in grouping of the sequence parts and shortest path among the groups.

This study addressed the four aspects of MH: move cost, time, distance and material by integrating the function of grouping, finding the shortest path and communication with low cost devices. The result shows that logistics routes and activities should not be interrupted by any of the external factors. The availability of stock is a key performance variable to attain efficiency. In addition to this, effective communication between the truck operators and the production line managers is key performance indicator.

The paper helps the automobile practitioners on increasing the efficiency of tow truck by systemizing the routes. Logistics routes and activities should not be interrupted by any of the external factors. The availability of stock is a key performance variable to attain efficiency. In addition to this, effective communication between the truck operators and the line managers is key performance indicator.