Advanced Technology and End-Time in Organizations: A Doomsday for Collaborative Creativity?

Mobile computing and multimedia technologies continue to expand and change the way we interact with each other on a business and social level. With the increased use of mobile devices and the exchange of information over wireless networks, information systems are able to process and transmit multimedia data in various areas.Contemporary Challenges and Solutions for Mobile and Multimedia Technologies provides comprehensive knowledge on the growth and changes in the field of multimedia and mobile technologies. This reference source highlights the advancements in mobile technology that are beneficial for developers, researchers, and designers.

Recent advances in mobile, wireless, and sensor technologies provide new possibilities for supporting learning activities that can be spatially distributed and incorporate different physical and environmental sensory data. In this paper, we present our technical efforts in relation to the design and implementation of mobile and web applications that integrate sensory data used to support inquiry-based science learning. In order to test the validity of our solution and its functionality and novelty, we conducted a prototype experiment with high school students in the field of environmental sciences. The initial outcomes presented in this paper point towards the potential benefits of using sensor and mobile technologies with real-time geo-positioned data and visualizations, which may increase students' engagement, enabling them to conduct scientific inquiries and analyses in new ways.

Recent years have witnessed a revolution in data science and ‘big data’ into which psychiatric research has also being drawn. ‘Big data’ has been defined as data sets which are so large in size, so fast to change, and so complex in structure that traditional data processing techniques are overwhelmed [1]. The mining and exploitation of such big data resources as Electronic Healthcare Records (EHRs) present an exciting challenge to the field of psychiatric epidemiology. The number of big data projects within psychiatric research is growing, and Stewart and Davis’s literature review is, therefore, timely [2]. Technological advances in data processing and storage, computer networking, mobile technology, and data manipulation have rendered huge quantities of healthcarerelated data potentially amenable to analysis. Such studies potentially offer much larger patient numbers, wider parameters of study, and longer timescales of follow-up, than is typical of randomised controlled trials (RCTs) or cohort studies. A further advantage of this data is it often arises from naturalistic clinical settings, in terms of both clinical practice and patient health and comorbidity. Indeed, while often considered the ‘gold standard’ in medical research, RCTs do have important limitations, such as overly-strict exclusion criteria. Routine clinical data sets can, therefore, be complementary to RCT data, while also making research findings more relevant to everyday clinical practice. In addition, the quantity of clinical ‘big data’ potentially allows analysis of rarer clinical conditions, or subject areas that would be unlikely to meet ethical approval for more conventional studies (for example, medication usage in pregnancy). Big data studies provide the scale and breadth of patient numbers required for stratified, predictive, and personalised medicine research. In addition, notwithstanding many challenges of working with big data, large-scale analysis of routinely collected healthcare data sets has already demonstrated effectiveness in fields such as pharmacovigilance [3] and post-marketing clinical trials. As described in detail by Stewart and Davis, the challenging aspects of working with ‘big data’ are captured by the taxonomy of ‘Vs’—volume, velocity, and variety—first described by Laney [4] and extended since [1, 2]. There are additional issues to working with healthcare big data specifically, including that clinical administrative data are generally not collected, curated, or formatted in a manner optimised for research, and the inherent sensitivity of the data in terms of personal privacy. As the possibilities for healthcare big data expand into such areas as text mining and natural language processing of clinical records, near ‘real-time’ updating of repositories, and incorporation of new data streams from mobile and wearable technology, robust systems must be in place to channel the potential data deluge. How great a role ‘cloud’ computing and storage will have in this is an intriguing question. In healthcare big data, the benefits offered by the cloud in increased power and accessibility, and reduced cost, must be weighed against concerns over data ownership, encryption, and unauthorized access. An additional question is whether unique patient identifiers (UPIs) utilised by some national healthcare systems can be extended more This comment refers to the article available at doi:10.1007/s00127016-1266-8.

Recent advances in mobile technology, mobile networks and mobile computing introduced new capabilities, functionality, and applications for software systems on mobile devices. On the other hand, those sounding achievements generated reasonable concerns regarding applications of traditional software engineering methodology (concepts, methods, tools, models, programming styles) to mobile software systems. Requirements of highly mobile users, limited computing power of mobile devices, security issues in mobile Web and networks, and various types of mobile communication technology stimulate a growth of emerging area - software engineering of mobile software systems, or mobile software engineering (MSE). Faculty and graduate students at the Department of Computer Science and Information Systems at Bradley University (Peoria, Il, USA) are involved into collaborative “student-faculty” research, design and development project aimed at design and development of pioneering MSE curriculum. This project is aimed at 1) research of MSE-focused programming methodologies, 2) analysis models in MSE, 3) design and development models in MSE, including architectural models, information models, functional models, interaction models, navigation models, graphic user interface (GUI) hierarchical models, 4) analysis of integrated development environments (IDEs) for various mobile platforms (Android, Windows Phone, etc.), 5) testing strategies and techniques for mobile software systems, 6) mobile software quality management, 7) security issues of mobile software systems, and 8) MSE-focused implementation methods. This paper focuses on main MSE topics in Mobile Computing curriculum.

This Research Topic is a sequel to our previous Research Topic “From Consumer Experience to Affective Loyalty: Challenges and Prospects in the Psychology of Consumer Behavior 3.0”. This first article collection was devoted to analyze the changes that appeared in different industries and companies, fostered by factors mainly related to the development of technologies. The evolution from consumer 3.0 to consumer 4.0 represents an opportunity to feature the changes that have been occurring lately as well as to gain an insight into the future of consumer behavior. Nowadays, the markets are experiencing several transformations in consumer behavior. These changes have been fueled by several trends: processes of globalization that produced an extraordinary assortment of diverse products and brand alternatives, new business models based on the intensive use of technology advances in communication and mobile technologies that allow customers’ capacity to easily participating in co-creation processes with companies; and big data developments. In this scenario, customers acquired more power than ever before due to their availability of information required to choose among the better priced alternatives product-brand options, as well as the technological means to access to such alternatives. Thus, customers evolved from a position to simply receiving the offer proposed by companies, to a position of power where they had the last word in the decision process, that is, the position of consumer 3.0. These consumers were characterized by their ability to adopt and use new technologies to meet their individual needs. What is more, these types of consumers did not longer easily respond to traditional mass marketing techniques. Instead, this generation of consumers demanded a highly customized approach across all facets of businesses including new product development, communication and customer service, among others. Nevertheless, in the advent of Marketing 4.0, a new type of consumer is observed, namely the customer 4.0. The transition from consumer 3.0 to consumer 4.0 is becoming evident, not only in consumers’ behavior but also in companies’ behavior. Related to the first one, consumers 4.0 are hyper-connected through different technologies, including not only the well-known mobile or digital technologies, but also other type of technologies, such as IoT, nanotech or artificial intelligence. Hence, their behavior is characterized by the demand of technology that have integrated the facets of Marketing 4.0 such as geolocation, marketing virtual and augmented reality facets. Regarding the second one, companies should face a digital transformation affecting not only value areas, but also, the way business interact with the environment. In particular, companies need to incorporate systems and applications that allow them to collect and analyze information, while helping decision making, since in the long run these issues constitute the cornerstone on which to start building a successful marketing strategy 4.0. This Research Topic welcomes scientific papers that covers the following topics (but not limited exclusively): - Consumers’ 4.0. behavior in different countries, industries, products, brands, etc.; - Digital transformations of industries and companies due to new consumption patterns; - New devices launched by companies work to meet the demands of consumer 4.0 (e.g., IoT), as well as the use consumers make of such devices; - The latest technology trends in business areas that make easier the consumer-companies relationships (processing, communication or any other digital technologies).

Mobile-assisted language learning (MALL) research trends and patterns through bibliometric analysis: Empowering language learners through ubiquitous educational technologies

The advances in mobile technology have created a new learning method known as mobile learning technology or mobile learning. This method utilizes the use of smartphones which have become part of the daily life of people of all ages and levels of education. in this mobile learning ,android platform is selected. The reason for choosing android is that it is the most popular mobile OS. This learning is designed to run on Android with the aim that it can be used easily and can be run at any time as long as you carry an Android cellphone and there is an internet connection. This application is addressed to the Persatuan pemuda sandya karya mandiri desa reksosari kec suruh kabupaten Semarang, which is an activity of a youth group that is trying to develop and improve their video streaming channel . they need learning to improve their digital video processing skills to improve the quality of their video output. because this youth union consists of various ages and various educational backgrounds, the making of learning videos must be easy to operate, easy to display and does not require complicated equipment. The development of this application is based on usability which is the most important aspect of an application.

Improving and stimulating teaching and learning are an interesting topic among educational researchers. As technology advances and with mobile technology and the Internet being used widely, it has become a vital tool for knowledge gathering and information sharing. It can foster new directives for teachers and stimulate the minds of learners, improving learning outcomes. However, the process of this triangulation of interaction has been overlooked in the Southeastern Asian region and requires an in-depth study into its culturally diverse background to identify its core problems and benefits. We propose Student Motivated Integrated Learning & Education with culture (SMiLE c) model in order to integrate education with web and mobile technology with an emphasis on Asian learning culture to promote active learning reduce overall costs and improves student learning outcome. We illustrate how this model can be implemented in Southeast Asian schools to improve teaching to suit students’ learning style during lessons through an alert system and motivates student to participate in discussions which can be used by the institution to identify student’s skill set early in the learning process.

Mobile multimedia has been promoted as a promising service and application in mobile e-commerce (m-commerce) by many mobile operators and mobile service providers, when high-speed mobile networks are expected to take off in the near future. However, at present, mobile multimedia is still in its infancy, accessed by relatively lowend mobile devices with limited bandwidth and resources. A typical example is Orange in Hong Kong which launched a low-grade multimedia service in 2000 to test the market with current mobile technologies. Due to the physical constraints of a 2.5G mobile network, audio broadcast is the best service that the network can offer up to date. However, in the near future, when advanced mobile networks and technologies become available, higher demands will be placed on the quality of mobile multimedia services. Such services support both audio and video data, for example, video conferencing, music video, video-on-demand and so on. Rights management deserves more serious concern because intellectual property of distributed multimedia content is as valuable as a company’s physical assets (Doherty, 2002). This will become even more important when mobile multimedia services become marketable and an essential part of the business. The purpose of a digital rights management (DRM) system is to allow owners of digital assets (movies, songs) to distribute their products/services/contents electronically in a controlled way (Peinado, 2002). DRM technology makes various online payment schemes possible, such as pay-per-view, pay-perdownload, pay-per-game and so on. Hence, mobile service providers are able to control end users’ use of, and accessibility to, their products, and stand to gain huge profits from this capability with the DRM technology (Foroughi, Albin, & Gillard, 2002). A successful DRM system should address both business and technical issues (Grab, 2002), but this chapter only addresses and presents issues in the technical side due to the nature of this book. We present some critical issues of mobile DRM for mobile multimedia. A proposal of mobile DRM framework is presented to meet mobile technology. This chapter is concluded by presenting future directions of mobile DRM for mobile multimedia.

Mobile multimedia has been promoted as a promising service and application in mobile e-commerce (m-commerce) by many mobile operators and mobile service providers, when high-speed mobile networks are expected to take off in the near future. However, at present, mobile multimedia is still in its infancy, accessed by relatively low-end mobile devices with limited bandwidth and resources. A typical example is Orange in Hong Kong which launched a low-grade multimedia service in 2000 to test the market with current mobile technologies. Due to the physical constraints of a 2.5G mobile network, audio broadcast is the best service that the network can offer up to date. However, in the near future, when advanced mobile networks and technologies become available, higher demands will be placed on the quality of mobile multimedia services. Such services support both audio and video data, for example, video conferencing, music video, video-on-demand and so on. Rights management deserves more serious concern because intellectual property of distributed multimedia content is as valuable as a company’s physical assets (Doherty, 2002). This will become even more important when mobile multimedia services become marketable and an essential part of the business. The purpose of a digital rights management (DRM) system is to allow owners of digital assets (movies, songs) to distribute their products/services/contents electronically in a controlled way (Peinado, 2002). DRM technology makes various online payment schemes possible, such as pay-per-view, pay-per-download, pay-per-game and so on. Hence, mobile service providers are able to control end users’ use of, and accessibility to, their products, and stand to gain huge profits from this capability with the DRM technology (Foroughi, Albin, & Gillard, 2002). A successful DRM system should address both business and technical issues (Grab, 2002), but this chapter only addresses and presents issues in the technical side due to the nature of this book. We present some critical issues of mobile DRM for mobile multimedia. A proposal of mobile DRM framework is presented to meet the urgent DRM needs with the existing 2.5G mobile technology. This chapter is concluded by presenting future directions of mobile DRM for mobile multimedia.

With the burgeoning advancements in mobile technology, mobile learning has garnered significant interest across various sectors, emphasizing its crucial role in enhancing educational frameworks and nurturing students’ core competencies. This study uses the UTAUT model to create a research framework for the factors that affect teaching college English using mobile technology. Taking first-year students to junior students of a university as an example, the study collects relevant data through questionnaire surveys. It carries out correlation analysis, difference test, and regression analysis to explore the factors influencing college students’ English mobile learning. Then, combined with the SAMR model, the English teaching model of online integration and teacher-student synergy is proposed. The design of teaching experiments is used to study the effect of this paper’s teaching model. The analysis shows that community influence, performance expectations, effort expectations, content and resources, and perceived self-efficacy all have a positive effect on mobile technology use in English teaching (p < 0.001), with the effects of perceived self-efficacy (0.363) and performance expectations (0.331) being particularly significant. The receptive vocabulary, output vocabulary, and comprehensive test of the students in the experimental class improved by 12.34%, 20.65%, and 15.84%, respectively, and the application of mobile technology under the SAMR model has a significant contribution to the improvement of college students’ English proficiency.

China's global influence has increased with its spectacular economic development. With the growing trade and cultural exchange between China and other countries, there is a rapid rising need for Chinese language learning. Although Chinese language is challenging to learn due to its different intonations, complicated shapes, and considerable significance, it still attracts more individuals, organizations, and companies. Advances in mobile technologies provide new opportunities for language learning anytime and anywhere. To meet the diverse demands of students of language learning, many scholars have studied Chinese mobile language learning and developed many mobile applications to improve language learners' skills in listening, speaking, reading, and writing by leveraging the emerging mobile technologies. This chapter reviews earlier studies on mobile technologies employed in Chinese language learning and provides recommendations for future research.

Digital transformation is now a leading force changing how we develop economically, socially, and technologically. Organizations around the globe are increasing their use of digital technologies to be more efficient, innovative, and competitive. By 2026, the pace of digital transformation will accelerate with rapid technological advancements, shifting consumer expectations, and investments in digital infrastructure. This study examines the primary contributors to the development of digital transformation in today's society. The study examines technological advancements, organizational adaptations, consumer behaviors, and government policies that contribute to the digital ecosystem. Secondary sources, including academic journals, industry reports, and global technology reviews, were used to support this study. Through a thematic analysis of the extant literature, this study identified several major technological advancements, such as artificial intelligence (AI), cloud computing, big data analytics, and the Internet of Things (IoT), as being among the most important technological enablers of digital change. In addition, increased internet accessibility and mobile technology have increased consumers' access to digital services, resulting in increased digital adoption in various industries. Furthermore, changes in consumers' preferences for digital platforms, online services, and automated systems have also created an obligation for organizations to adopt digital strategies. Overall, the findings suggest that while digital transformation is a technological phenomenon by 2026, it is also a multidimensional process driven by competition in the economy, government policies, and the evolving needs of society. Finally, the study suggests that organizations that can successfully integrate digital technologies into their business models will be better positioned to sustainably grow and innovate. Thus, digital transformation has evolved as a necessary strategic option for organizations and companies looking to remain competitive in the rapidly changing global marketplace.

Sustainability and the Agenda 2030 bring as main concern the promotion of Lifelong Learning. A diversity of aspects is important to consider improving quality of life: (a) access to preventive and health promotion actions through training programs and continuous digital inclusion; (b) the technological innovation development for the contexts involved in the programs of permanent training and digital inclusion, encouraging action research and teaching applied to real situations. An example is the use of mobile devices in health. Interesting alternative in well-being and education situations, where there is a need to involve a large number of people and there are difficulties in accessing information, either because of the distance from urban centers or the lack of health professionals and educational actions, especially for the prevention and improvement of quality of life. In this way, this study focuses on: (i) social aspects - access to preventive and health promotion actions through training programs and continuous digital inclusion; (ii) technological - the development of a specific application for the contexts involved in the programs of permanent training and digital inclusion, encouraging action research and teaching applied to real situations, through mobile technologies. Considering the technological advances and the identification of different pedagogical strategies, this paper presents a proposal of online booklet for elderly people about functional exercises. Considering the technological advances and the identification of different pedagogical strategies, this paper presents a proposal of a process that includes some objectives from SDG 3 and 4 for extension activities for developing a booklet as a concept prove.

Mobile communication technology is a universal technology. It is one of the most advanced technologies in human history due to its rapid development speed, strong penetration and wide application. The rapid development and wide application of information and communication technology has brought profound impact on economic growth and social transformation. In order to test the relationship between population change and economic development in the process of urban development by mobile communication technology, cluster analysis and similarity coefficient are used to analyze the indicators of economic development and to predict the law of economic development. In order to understand the changes brought by mobile communication technology to economic development in detail, through the analysis of the usage of mobile communication users in China and the economic development of the region from 2017 to 2019, the results showed that Beijing was in the best development situation. Compared with other regions, Tibet was the lowest. It grew over time, with a 5% increase from 2017 to 2019. It could be seen from this point that vigorous development in the field of mobile communications would provide new opportunities for major cities to break through development bottlenecks and solve development dilemmas as well as promote urban transformation and innovative development.