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Purpose — In this chapter, we will review several alternative methods of collecting data from mobile phones for human mobility analysis. We propose considering cellular network location data as a useful complementary source for human mobility research and provide case studies to illustrate the advantages and disadvantages of each method.

Methodology/approach — We briefly describe cellular phone network architecture and the location data it can provide, and discuss two types of data collection: active and passive localization. Active localization is something like a personal travel diary. It provides a tool for recording positioning data on a survey sample over a long period of time. Passive localization, on the other hand, is based on phone network data that are automatically recorded for technical or billing purposes. It offers the advantage of access to very large user populations for mobility flow analysis of a broad area.

Findings — We review several alternative methods of collecting data from mobile phone for human mobility analysis to show that cellular network data, although limited in terms of location precision and recording frequency, offer two major advantages for studying human mobility. First, very large user samples – covering broad geographical areas – can be followed over a long period of time. Second, this type of data allows researchers to choose a specific data collection methodology (active or passive), depending on the objectives of their study. The big mobile phone localization datasets have provided a new impulse for the interdisciplinary research in human mobility.

Originality/value of chapter — We propose considering cellular network location data as a useful complementary source for transportation research and provide case studies to illustrate the advantages and disadvantages of each proposed method. Mobile phones have become a kind of “personal sensor” offering an ever-increasing amount of location data on mobile phone users over long time periods. These data can thus provide a framework for a comprehensive and longitudinal study of temporal dynamics, and can be used to capture ephemeral events and fluctuations in day-to-day mobility behavior offering powerful tools to transportation research, urban planning, or even real-time city monitoring.

The purpose of this paper is to discuss implications of human-technology interaction in organizational change, especially where mobile phones are introduced to replace paper-based reporting.

The paper employs a case study approach, focusing on implementation of mobile technology for health (mHealth) solutions to support remote data communication, between health facilities and a district health office (DHO), in Malawi.

The findings suggest that mobile phones are relevant to parts of multi-stage tasks such as data reporting, which comprise compilation, transportation, and digitization of data, and delivery of feedback. Consequently, innovation due to the introduction of mobile phones, is found in their interaction with other artefacts (paper, desktop computers, etc.), and existing paper-centric and emerging work practices.

Although lessons from this study could be transported across contexts, practitioners, and researchers should pay particular attention to contextual differences.

In accounting for the mutual shaping between technology and context/work practices the paper demonstrates that mHealth innovation demands significant practical work.

mHealth research is often preoccupied with capabilities of mobile devices. First, the authors account for interaction between artefacts, existing, and emerging use contexts, and the use process, at multiple levels of organization. Through this, the authors argue for a need to seriously consider idiosyncrasies of artefacts and tasks at hand, as well as distributed affordances across artefacts, in mHealth implementations. Second, the authors argue that contrary to the general focus on mobile phones as tools for supporting people on the move, their relevance might actually be found in reducing people’s mobility.

This paper examines the value of mobile phones in ethnographic research, and seeks to demonstrate how this particular technology can support and enhance participant observation.

Reflecting in detail on one researcher's experience of incorporating this technological device into an ethnographic study, the paper considers how new observational tools can contribute to research beyond data generation.

The study suggests that the mobile phone can be an extension of the ethnographer and act as a powerful prosthetic, allowing the researcher to translate ethnographic principles into practice.

This paper reflects on the uses of a mobile phone in an ethnographic study of young men's consumer experiences. Thus, the discussion focuses on a research site where the mobile phone holds a ubiquitous position. However, there are now more than four billion mobile phones in circulation worldwide, so whilst acknowledging important differences in research sites, this research can be seen to have wide implications beyond the study of young consumers.

The paper argues that mobile phones allow researchers to record their observations, co‐create data and share experiences with their participants in ways that enhance the quality of ethnographic interpretations and understanding.

Little research attention has been paid to how emerging technologies support the more traditional participant observer, or how researchers actually embed them within their fieldwork. This paper addresses this gap and considers the wide‐ranging role that technology can have throughout this research process.

Employing big data analysis tools, this study examines the significance of supply chain integration affecting online financial consumption, analyzes the online financial consumption demand of mobile phone consumers, promotes the optimization of supply chain services with consumers as the focus and proposes full integration of a mobile phone supply chain in terms of product, logistics and marketing, in order to improve the supply and demand relationship between consumers and suppliers; the overall objective is to promote further development of online financial consumption.

In this study, TF-IDF (term frequency–inverse document frequency) and cosine similarity text analysis are used for analyzing online demand for mobile phone products, studying the influence of supply chain services on consumption demand and identifying strategies for promoting overall optimization of the supply chain to meet online financial consumption demands of consumers; the study analyzes online reviews on mobile phone topics from the JingDong (JD) platform and Weibo platform.

Research results show that online demand for mobile phone products is greatly influenced by supply chain links such as product design, logistics transportation and marketing promotion. The consumption demand for different mobile phone products has different emphases, but the differences are not significant. The overall improvement of the supply chain should focus on product research and development, logistics layout optimization and marketing promotion, in order to meet and guide the online financial demand of consumers and improve the effectiveness of supply chain management.

This study only considered data from China's largest online mobile phone sales platform and Weibo text data owing to the data sensitivity involved.

There are few supply chain optimization studies based on online financial consumption reviews from customers. Therefore, this study integrates online consumption trends into a supply chain analysis framework to explore strategies for promoting supply chain optimization according to customer demands, improving the benign interaction of participants in the supply chain and promoting the development of online financial consumption.

Mobile phone network third-generation (3G) and fourth-generation (4G) modes are the most commonly used modes in many developing countries. This study aims to assess the impact of these network modes and other mobile phone attributes on their retail prices in Pakistan, the fifth most populous and developing country.

This study has been conducted in Punjab province, which shares about 53% of the Pakistan’s population. Hedonic price analysis was carried out on all new mobile phone attributes sold in Punjab’s markets at the retail level. Various econometric tests, that is, Ramsey regression equation specification error, Breusch–Pagan/Cook–Weisberg and variance inflation factor, were calculated to check the robustness of the results.

Results of this study indicated that the mobile phone prices were significantly higher for the sets having 4G network mode than the 3G mode. In addition to this, other mobile phone attributes that significantly influenced their prices were brand, weight, camera, random access memory (RAM), memory size, operating system, battery capacity and display size.

This study has implications for mobile phone sales and marketing strategies of the manufacturers, importers, retailers and others involved in the mobile phone business in developing countries like Pakistan. Mobile phone manufacturers/importers can increase their profits by producing/importing the 4G enabled devices.

Although many studies in the literature estimated the implicit price of mobile phone attributes, none of these had explicitly assessed the impact of network mode generation of mobile phones on their prices.

Leveraging information technology (IT) to improve the treatment and support of patients is a widely studied topic in healthcare. For chronic diseases, such as diabetes, the use of information technology is even more important since its effect extends from a clinic environment to patients’ daily life. The purpose of this paper is to investigate the impacts of one widely adopted information technology, the mobile phone, on diabetes treatment, specifically on the complicated process of patients’ health, emotions and compliance.

We leverage a unique longitudinal dataset on diabetes patients’ health status in rural areas of China to study the problem. We also cross-link the dataset with mobile carrier data to further differentiate mobile phone use to phone calls and network use. To address the endogeneity concerns, we apply PSM and a series of instrument variables.

We identify clear evidence that mobile phone use can significantly improve patients’ emotions and compliance, where the effect is generally larger on patients in worse health conditions. While mobile phone calls clearly benefit diabetes patients, we do notice that mobile phone network use has a negative moderating effect with patients’ health condition on improving compliance.

This study not only enriches our theoretical understanding of the role of mobile phones in diabetes management, it also shows the economic benefit of promoting patients’ use of mobile phones, which should be considered by medical care providers and medical policymakers.

Mobile technologies offer the opportunity to embed learning in a natural environment. The objective of the study is to examine how the usage of mobile phones for m‐learning differs between heavy and light mobile phone users. Heavy mobile phone users are hypothesized to have access to/subscribe to one type of mobile content than light mobile phone users, to have less frequent access to, subscribe to or purchase mobile content within the last year than light mobile phone users, and to pay less money for mobile learning, its content and mobile games than light mobile phone users.

Data were collected from 436 respondents. An analysis of variance (ANOVA) test was run to examine how the usage of mobile phone for m‐learning differs between heavy and light mobile phone users in terms of access/subscription to several types of mobile content, frequency of access to, subscription to, and purchase of mobile content within the last year, and maximum amount of money paid for mobile learning, its content and mobile games.

Significant differences can be identified when comparing the usage of mobile phones for m‐learning between heavy and light mobile phone users. It was found that heavy mobile phone users access/subscribe to more than one type of mobile content than light mobile phone users, have more frequent access to, subscription to and purchase of mobile content within the last year than light mobile phone users, and to spend more money on mobile learning, its content and mobile games than light mobile phone users.

Future research should aim at a deeper understanding of mobile phone usage for learning by including new variables and mediating variables and applying a multivariate analysis of data such as structural equation modelling to interpret the results, as this would allow for a simultaneous relationship among endogenous and exogenous variables, serve as a purposeful representation of the reality from which the data has been extracted, and provide a parsimonious explanation of the data.

Mobile content needs to be developed specifically for mobiles, with clear images and good quality sound to enable users to continue to come back and enjoy new segments and features. Mobile phones must be small, reliable, and convenient devices that can provide the full spectrum of information and entertainment options to users.

This research provides a new perspective on mobile phone usage for m‐learning among Malaysian mobile phone users.

This paper aims to present a research outcome to an investigation towards the innovative use of electronic-learning (e-Learning) software solutions to strengthen the interactive component of mobile learning (m-Learning) in university contexts. This work was motivated by observations of interactive limitations in existing m-Learning solutions in well-intentioned software development and e-Learning efforts. The aim of the project, thus, was to interrogate hindrances to the potency of m-Learning interventions. The idea was to strengthen the interactive component, to improve the compatibility of the desktop e-Learning process – with mobile appliances such as mobile phones and, finally, to explore cost minimizing avenues of downloading learning materials over mobile phones.

The methodology of the project was twofold: that is, both literature-based and experimental. Literature background offered insight on existing efforts towards interactive m-Learning solutions. Against this background, the project was then designed to explore ways to provide presentations and interactive chats for effective m-Learning over mobile phones. The idea was to reduce the file size of presentations slides for effective display on mobile devices. Finally, the aim was also to minimize airtime costs when transmitting presentation slides and when conducting interactive chats on mobile phones. An experiment research method was, thus, used. In this method, a problem and question were articulated first. Then, a practical technological solution was conceptualized, developed, pre-tested, modified and re-tested until it complied with sought specifications, Finally, the solution was implemented, to confirm its viability and response to a research problem and, ultimately, was reported in the findings.

Slides were developed with light colour resolutions to open effortlessly on tiny mobile screens. The best quality was between 128 and 201.188 (out of 255) pixels (more visible mobile phone screens), using Open Source Software. Clear slides also had a font greater than size 32. The average data per presentation were 9,872.66 bytes, and, when seven learners were chatting, it was 3,686.63 bytes (0.03 megabytes). For airtime costs, the Vodacom rate of R0.46 per megabyte was used. This translates to 0.8 × 0.46 = R0.0368 cost per slide. The m-Chisimba platform therefore, seems to be cost-effective, quality expedient and most appropriate for interactive m-Learning.

Existing m-Learning has been inadequate, failing to align adequately the desktop e-Learning solutions with mobile phone platforms. Desktop presentation slides, for example, have been incompatible with mobile phones’ operations and screen sizes. Mostly, content could consume a lot more airtime, owing to large sizes of desktop originated material that was incompatible with mobile platforms. A solution that emerged from original experiments, leading to the enhanced interactive m-Learning solution, the m-Chisimba platform, is, therefore, presented in this paper. The thinking is that mobile applications are convenient enablers which extend access to information. Nevertheless, mobile applications (including m-Learning solutions) cannot be seen as panaceas to solve all learning concerns as literacy and affordability remain challenges in many under-developed social environments. As a newly developed innovation, the m-Chisimba platform offers an improved m-Learning solution for learning activities over mobile gadgets such as mobile phones.

The research work offers new innovative solutions in a number of practical ways. It improves the interactivity component of the m-Learning process, to empower educators and learners to effectively engage learning over m-Learning devices.

The innovation makes it easier to for learning to take place effortlessly, over mobile platforms. Implications are that more people will be able to access learning processes on the move, meaning that obstacles to access learning opportunities are minimised.

Existing m-Learning has been inadequate, failing to align adequately the desktop e-Learning solutions with mobile phone platforms. Desktop presentation slides, for example, have been incompatible with mobile phones’ operations and screen sizes. Mostly, content could consume a lot more airtime, owing to large sizes of desktop-originated material that was incompatible with mobile-platforms. A solution that emerged from original experiments, leading to the enhanced interactive m-Learning solution, the m-Chisimba platform, is, therefore, presented in this paper. The thinking is that mobile applications are convenient enablers which extend access to information. Nevertheless, mobile applications (including m-Learning solutions) cannot be seen as panaceas to solve all learning concerns as literacy and affordability remain challenges in many under-developed social environments. As a newly developed innovation, the m-Chisimba platform offers an improved m-Learning solution for learning activities over mobile gadgets such as mobile phones.

The purpose of this paper is to identify whether there is a lower willingness to report a crime if a victim must hand in their mobile phone as evidence. If that is the case, the research seeks to examine whether privacy concerns and lower willingness correlate with one another and thereby investigate whether privacy concerns could lead to fewer crimes being reported and resolved.

A mobile phone survey was distributed to 400 Swedish adults to identify their hypothetical willingness to report certain crimes with and without handing in their mobile phones as evidence. The results were then analysed using inferential statistics.

The result suggests that there is no meaningful correlation between privacy attitudes and willingness to report crime when the handover of a mobile phone is necessary. The results of this study however show a significant lower willingness to report crimes when the mobile phone must be handed in.

Because the chosen target group were Swedish adults, the research results may lack generalisability for other demographics. Therefore, researchers are encouraged to test other demographics.

This paper’s contribution is the novel exploration of attitudes and behaviours regarding the combination of privacy, digital forensics, mobile phones and crime reportage. This research effort examined the problematic situation that can arise for victims of crime, the invasion of privacy when providing evidence by handing in a mobile phone to the police’s forensic unit for examination.