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The purpose of this paper is to develop a model for the use of mobile computing in the management of on‐site construction information and communication.

The research strategy contains three steps: a pilot study for the first stage, a survey that investigated the information needs of particular users and the nature of on‐site information, and finally the development of a model and the validation and evaluation by operational scenarios.

The developed model explores how mobile computing can be used on construction sites to manage on‐site information. This model, firstly, identifies the key factors of mobile computer, wireless network, mobile application, construction personnel, construction information, and construction site; secondly it describes the relationships and interactions among these factors. Based on the model, the selection process for mobile computing strategy includes the clarification of information management process, the creations of overview for mobile computing solution, the identification of mobile computing strategy, and the selection of appropriate mobile computing technology.

The developed model explores the general concepts and the internal relationships at the two areas of mobile computing and construction site information management. The application of the model can help users to select mobile computing strategies for managing on‐site construction information based on the characteristics of their projects.

This paper aims to study the economic effects of Cloud Computing for a sample of Israeli firms. The authors propose a framework that considers how this technology affects firm performance also introducing the indirect economic effects that take place through cloud-complementary technologies such as Big Data and Machine Learning.

The model is estimated through structural equation modeling. The data set consists of the microdata of the survey of information and communication technologies uses and cyber protection in business conducted in Israel by the Central Bureau of Statistics.

The results point to Cloud Computing as a crucial technology to increase firm performance, presenting significant direct and indirect effects as the use of complementary technologies maximizes its impact. Firms that enjoy most direct economic gains from Cloud Computing appear to be the smaller ones, although larger enterprises seem more capable to assimilate complementary technologies, such as Big Data and Machine Learning. The total effects of cloud on firm performance are quite similar among manufacturing and service firms, although the composition of the different effects involved is different.

This paper is one of the very few analyses estimating the impact of Cloud Computing on firm performance based on country microdata and, to the best of the authors’ knowledge, the first one that contemplates the indirect economic effects that take place through cloud-complementary technologies such as Big Data and Machine Learning.

It is an unfortunate truth that hotel industries are sometimes behind the curve when it comes to adopting the latest technology. In the competitive environment of the hotel industry, a sophisticated portfolio of information systems applications and high-quality information technology infrastructure play a key role in hotel performance in the world. The purpose of this research was to explore the impact of Diffusion of Innovation Theory and Technological, Organizational, and Environmental factors and business benefits of cloud computing adoption on the hotel sectors’ competitive capabilities. Previous studies in Asian countries have shown that adoption of cloud computing is significantly beneficial in hotel businesses. Having that this research study sough to explain the impact of cloud computing adoption using security concerns, top management support, cost saving, and competitive pressure relative advantages. The study was conducted among randomly selected 30 star graded hotels in Sri Lanka. Self-administered questionnaires were distributed among managerial and ICT professionals who were capable of making ICT decisions. The results of the data analysis revealed that cloud computing adoption level is still low among star hotels in Sri Lanka and Security Concerns, Top Management Support, Cost Saving, Competitive Pressure, and Relative Advantages are having significant impact on cloud computing adoption in the hotel sector in Sri Lanka.

The construction industry has a fragmented nature which accounts for the highest degree of decentralisation of information. The exchange of information can be made possible and easier by the application of smart computing into the construction process. This creates an opportunity to enhance productivity and communication among stakeholders of the industry. This chapter, therefore, explores the concept of smart contracts, its drivers, challenges and critical success factors for implementing smart computing into construction in the effort to work towards an industry that is functional and sustainable at the same time.

Research on cultural entrepreneurship has explored the role of language in making and giving sense to novel ventures and market categories and in legitimating them. We analyze how an emerging de novo market category, quantum computing, is constructed through the use of analogies and metaphors. Through a multimodal analysis of interview and newspaper data, we find that in addition to using analogies and metaphors to highlight familiarity, actors also use such tropes to expound the weirdness of the new category, thus marking it as profoundly different and novel. Such tropes have a dual function; they draw the boundaries between science and laypeople but also arouse awe and curiosity among the audiences. Our study thus casts light on the cultural work during de novo category emergence.

Since 2007, the cloud computing term had been introduced to the information technology (IT) dictionary. The theme is attracting growing interest from both the IT world and the business players, who need to enhance information systems agility, reduced costs, or even less dependence on internal IT teams when they are judged too slow. However, the fact that cloud computing, as presented by providers, increases the agility, is unclear. Business Managers; IT professional, and academics are querying about relationship between cloud computing and IT agility. This chapter aims to answer two major concerns: Factors that influence cloud computing adoption in medium and large organizations, and the cloud computing role to improve the agility of information systems. This chapter argues that cloud computing impacts Information System (IS) performance by organizational capabilities (agility). One of the primary motivations of this chapter is the lack of fieldwork when considering how cloud computing improves the information systems’ agility.

Research studies indicate African American males face multiple and reinforcing obstacles by choosing to pursue science, technology, engineering, and mathematics (STEM) related majors and professions. Though participation in STEM fields has increased, African American males remain underrepresented in STEM academic programs and occupations as a whole, and in the computing sciences specifically. In the STEM field of computing sciences, isolation, inadequate advisement, among other complex factors, perpetuate the underrepresentation and low persistence of African American males in academic programs. Utilizing viable social identity and communities of practice as theoretical underpinnings, this qualitative study into the lives of aspiring and current African American male computer scientists produced findings that illuminate the significance of what I call STEMfluences, or social interactions that promote socialization, STEM identity, confidence, and success in science, technology, engineering, and mathematics related disciplines like the computing sciences, and promote persistence through degree attainment in homogeneous, unwelcoming STEM academic environments. These STEMfluences are social constructs that include positive peer interactions and modeling, parental and familial nurturing, and multifaceted mentorship.

Purpose: Green computing is a way of using the computer resource in an eco-friendly while maintaining and decreasing the harmful environmental impact. Minimising toxic materials and reducing energy usage can also be used to recycle the product.

Need for the Study: The motivation of the study is to use green computing resources to decrease carbon emissions and their adverse effect on the environment.

Methodology: The study uses a qualitative method of collecting resources and data to address the opportunities, challenges, and future trends in green computing for Sustainable Future Technologies. The study focusses on multiple kinds of cloud computing services collected and executed into single remote servers. The service demand processor offers these services to the client per their needs. The simultaneous requests to access the cloud services, processing and expertly managing these requests by the processors are discussed and analysed.

Findings: The findings suggest that green computing is an upcoming and most promising area. The number of resources employed for green computing can be beneficial for lowering E-waste so that computing can be environmentally friendly and self-sustainable.

Practical Implications: Green computing applies across all industries and service sectors like healthcare, entertainment, tourism, and education. The convergence of technologies like Cloud Computing, AI, and Internet of Things (IoT) is greatly impacting Green Supply Chain Management (GSCM) market.

Though STEM-related jobs have become a critical sector in the United States economy, there remains a severe employment shortage of eligible workers in these fields (Beyer, Rynes, Perrault, Hay, & Haller, 2003; National Science Foundation, 2009). The shortage of workers who possess the necessary skills to fulfill this growing sector of the economy are at a level last reached the middle of the 20th century (ACT, 2006; Jackson et al., in press). Even so, approximately 1.6 million supplementary workers with degrees in the computing sciences will be required to satisfy workforce demands according to the U. S. Department of Labor (Beyer et al., 2003; Hecker, 2001). Social misfortunes have played a significant role in the disproportioned participation rates of ethnic minorities in STEM fields. Although it could be argued that the field of computing sciences has moved to the forefront of STEM within this information-based global economy, very few African Americans productively contribute to the field (Carver, 1994; Gilbert, Jackson, George, Charleston, & Daniels, 2007).

Ubiquitous access to digital technologies is becoming an integral part of our business, home, and leisure environments, yet despite a quarter century of educational technology initiatives, ubiquitous computing remains conspicuously absent from our schools. In this chapter, we argue that simply putting more computers in schools will not solve the problem, but rather that teaching, learning, and technology integration need to be reconceptualized within a ubiquitous computing framework before the full educational possibilities inherent in digital technologies can be realized. Using examples from our laboratory classroom, we discuss how teaching needs to be reconceived more as “conducting” than “instructing”; how learning needs to become more the responsibility of the student, and located with her in an expanded space and time that extends beyond the classroom; and how technology integration needs to be understood not as an add-on, device-driven enterprise, but one motivated by teaching and learning needs and in which multiple technology choices are readily available to teachers and students both within and beyond the classroom.