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The emergence of new and integrated approaches to information technology projects and web-based service initiatives in libraries poses a number of challenges to those who manage them. Library managers must work closely with specialists in areas that are not always found within the library, yet there is no evidence-based data documenting the factors involved in doing so. The exploratory study summarized in this chapter documents much of what practitioners and scholars alike consider important in this arena, and contributes to the literature in two ways. First, a meta-analysis of what both practitioners and scholars have found to be important in the areas of technology project management and web-based initiatives is presented that can assist professionals currently developing web-based project launches. Additionally, by using bibliometric techniques as the basis of this analysis, a newly developed taxonomy of these approaches is provided that can assist LIS professionals with future cooperative web-based initiatives. Domain analytic techniques are utilized in the study to examine a selection (n=276) of published articles and papers to ascertain what library and information professionals have learned from embarking on such collaborations. A grounded theory approach is taken in order to develop a working taxonomy of topics and themes relating to collaborative online initiatives. The findings illustrate that library and information science project managers involved in online and web-based initiatives face five key areas of concern: information technology management, information retrieval protocols, user-specific applications, user education, and strategic planning.

Purpose – The purpose of this paper is to develop prototype of the information system of the flood monitoring based internet of things (IoT). This prototype serves to assist users in accessing flood levels through water levels and rainy weather conditions.

Design/Methodology/Approach – This paper presents the design of information system of flood monitoring based internet of things (IoT). This prototype study acquires water level and rainfall data using ultrasonic sensors HC-SR04 and rain sensor. Data of flood height and rain levels detected by sensors are processed using Arduino Uno Microcontroller to produce output data in HTML format. Flood altitude information system and rainy weather from the microcontroller are distributed using ethernet module as web server integrated with Wireless N Router TL-MR3020 as a gateway path to the user.

Findings – This research produces a prototype of web-based flood monitoring information system that has been able to distribute data of flood height and rainy weather in real time.

Research Limitations/Implications – In the implementation of measurement, the information system only accesses one flood detector or one flooded location.

Practical Implications – This research produces a prototype of web-based flood monitoring information system that has been able to distribute data of flood height and rainy weather in real time.

Originality/Value – System prototype is the first development that uses internet of things (IoTs) method in real time web-based flood measurement with information in the form of flood hazard information in the form of water level and rainy weather conditions.

E-learning programs exist in a wide variety of formats. Without a framework for distinguishing between different e-learning programs, it is a challenge for researchers to compare their effectiveness or identify characteristics of e-learning that contribute to learning effectiveness. Based on general theories of learning, we develop a typology that compares e-learning programs in terms of the nature of the learning interactions they provide for learners in three dimensions: degree of interaction, learner control of interactions, and informational value of interactions. The typology dimensions apply to learner–instructor, learner–learner, and learner–instructional material interactions. We also discuss important theoretical implications of the typology. First, we show the utility of the typology for comparing the effectiveness of different e-learning programs. Second, we apply the typology dimensions to develop a theoretical framework for e-learning research that provides a foundation for examining factors that influence learning effectiveness in an e-learning program. The framework identifies e-learning program characteristics, learner characteristics, and contextual factors that impact learning effectiveness in different e-learning environments. It also shows how the typology dimensions align with learning goals to influence learning effectiveness.

Web-enhanced instruction is increasingly pervasive in higher education. Homework assignments and exams are increasingly completed online. Instructors evaluate the effectiveness of educational tools, such as web-based homework (WBH), in part through student performance that can be affected by students’ motivation. Thus, changes in students’ motivations and perceptions during an academic term can affect our assessment of the efficacy of the educational tool depending on when our assessment is conducted. No current studies identify variations in student perceptions of educational technology over time. Better understanding the changes in student perceptions of educational technology as they complete a course of study may help educators develop more effective instructional and pedagogical strategies. Our study explores how students’ attitudes toward WBH change with use.

We review the literature on individual acceptance of technology to show how organizations can improve the effective use of human resource web-based technologies. Integrating and expanding several theoretical models of technology acceptance, we develop a perceptual model of employee self-service (ESS) acceptance and usage. Based on this model, we propose several key individual, technological, and organizational factors relevant to individual intentions to use ESS technology. We summarize these in several testable propositions and also discuss implications for organizational researchers and practitioners.

Purpose — Describe the system set-up and processing requirements for a long-duration longitudinal Global Positioning System (GPS)/prompted-recall (PR) survey conducted in Sydney, Australia and assess reaction and cognition of participants.

Design/methodology/approach — The survey uses data collected using an in-car GPS device within a PR interface accessed over the Internet by participants. Technical requirements, interface design and survey administration of the survey are discussed. This is followed by an assessment of participant burden and cognition by analysing user activity on the PR and comparing participant responses to information inferred from the GPS data.

Findings — New technologies have allowed for increasingly sophisticated data collection efforts but they require substantial resources to translate this into a usable form. This study shows these technologies can be used to conduct long-duration travel studies in a way that is appealing and engaging to participants. However, it was found that responses to the PR are sometimes inconsistent and caution should be drawn in taking PR responses as the ‘ground truth’.

Research limitations/implications — The relatively low participant burden of this study shows long-duration studies are feasible if care is taken to limit the work required by participants. The inconsistency of the responses to the PR suggest future surveys may need to employ mechanisms that are better able to aid participants in accurately completing the survey.

Originality/value — Details the requirements of running a long-duration GPS/PR survey and assesses participant burden and cognition of the survey which are often not reported.