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As the size of the population is growing and the capacity of the planet Earth is limited, human beings are searching for sustainable and technology-enabled solutions to support society, ecology and economy. One of the solutions has been developing smart sustainable cities. Smart sustainable cities are cities as systems, where their infrastructure, different subsystems and different functional domains are virtually connected to the information and communication technologies (ICT) and internet via sensors and devices and the Internet of Things (IoT), to collect and process real-time Big Data and make efficient, effective and sustainable solutions for a democratic and liveable city for its various stakeholders. This chapter explores the concepts and practices of sustainable smart cities across the globe and explores the use of technologies such as IoT, Blockchain technology and Cloud computing, etc. their challenges and then presents a view on business models for sustainable smart cities.

Although government investments in IT is growing, it is unclear how and what kind of IT investments lead to desirable E-Government performance. Several studies pertaining to the business value of IT have developed and tested frameworks for IT infrastructure, IT capability and business performance. However, E-Government-related IT investment outcomes cannot be measured by profits and hence requires a separate investigation. E-Government research using theoretical approach has been reported as very scarce in previous studies. This research aims to bridge the gap by developing a model to study IT infrastructure capability and E-Government performance in the emerging context of new IT service delivery models.

This paper follows a case study method in this research with a priori conceptual framework. The data were collected following an interview method used for deductive theory building.

The results identified a positive relationship between IT assets and IT infrastructure performance in the presence of service delivery channels and an anticipation of a positive influence of infrastructure performance variables on IT capability which in turn shows positive effect on E-Government performance.

Because the study followed a qualitative approach, the findings from this study are not useful for statistical generalization. However, the analytical framework provides sufficient ground to test E-Government performance.

The study provides insights in the choice of IT infrastructure elements fitting an E-Government strategy.

This study provides an integrated framework for measuring E-Government performance, thereby making deployment of IT infrastructure accountable both in terms of IT performance and IT capability. This in turn will lead to improvement in citizen services.

This paper builds on the existing literature on IT assets, IT infrastructure performance, IT infrastructure capability and applies to the E-Government domain.

The purpose of this article is to identify the role of cloud computing services in business continuity and disaster recovery plans and delineate responsibilities for their execution. In recent times, there has been a huge upsurge in the usage of cloud service models such as infrastructure-as-a-service, platform-as-a-service, software-as-a-service and disaster recovery-as-a-service. However, in case of an emergency event or during contract negotiations, a question might arise as to who should be accountable and responsible for the content and execution of recovery plans. The main stakeholders in this scenario are cloud service providers and cloud consumers.

After a review of academic articles, standards, guidelines and vendor documentation, a proposal for assigning accountability and responsibility for business continuity and disaster recovery plans is presented, based on the RACI (responsible, accountable, consulted and informed) matrix. In this regard, a critical information infrastructure protection plan, a disaster recovery plan, an information systems contingency plan and a business continuity plan have been elaborated on in the article.

RACI matrices are presented for three general cloud service models and for three DRaaS models (managed, assisted and self-service). Accountability and responsibilities depend on the deployed cloud service model and the roles of cloud service providers and cloud consumers.

The proposed model for accountability and responsibility assignment provides a guideline for the allocation of responsibilities to roles not only during recovery but also during contract negotiations between cloud service providers and cloud consumers. By delving into business continuity and disaster recovery processes and activities, similar yet nuanced RACI matrices should be developed, as presented in this paper. They need to be customised for the specific context.

Although governments are hugely investing in information technology (IT) infrastructure, eGovernment performance has reported variations in performance. The relationship between IT infrastructure investments and eGovernment performance remains unexplored in academic research. This study aims to explain how investments in IT assets lead to infrastructure capability and eGovernment system performance. The work conceptualizes technical performance of IT infrastructure as a consequent of thoughtful investments in IT assets, which help generate IT infrastructure capability. The findings have important implications for eGovernment theory and practice in developing understanding about eGovernment IT infrastructure and supporting decision-making on the choice of infrastructure components.

This study showcases quantitative analysis based on survey method-based research using a questionnaire for testing the hypotheses formulated.

The analysis of the work showed that IT infrastructure performance is a significant mediator between investments in IT assets and IT infrastructure capability.

Owing to constraints of data collection, probability sampling was not followed, which is a prerequisite for statistical generalization.

The study provides insights for governments on investing in technologies that meet requisite performance standards. IT infrastructure performance is an antecedent of IT infrastructure capability, which directly determines how an eGovernment system performs.

The study shows that delay in implementing new service models such as cloud potentially result in relatively lower performance of the IT infrastructure for the investments made in the given assets.

This paper builds on the existing literature on IT assets, IT infrastructure performance and IT infrastructure capability and applies it to the eGovernment domain.

The study aims to focus on the present automation status of the college libraries with an objective to offer enhanced Web-based library service on an affordable virtualization on cloud computing model.

With Infrastructure as a Service (Infrastructure as a Service) delivery model, this study demonstrates how libraries of colleges/smaller institutes could be connected to cloud Library Management System infrastructure through internet or dedicated point-to-point WAN connectivity. The Software as a Service (SaaS) delivery model depicts how college libraries could form library consortium at its own private cloud environment with installation of the required LMS application, database, middleware and other prerequisites.

A cloud-based consortium approach for the college libraries will reduce the cost of purchasing hardware equipment and setting up of infrastructural facilities; relieve libraries of involving additional IT skilled manpower; foster collaborative approach with shared environment and minimise duplication in resource subscription.

To the best of the authors’ knowledge, the present study is the first of its kind in the light of shifting of infrastructure, software and hardware requirements of smaller libraries for cooperative sharing in both IaaS and SaaS cloud platform. The study delineates step by step how college libraries could effectively leverage the cooperative cloud architecture for enhanced library services to reach wider user community.

Previous empirical research on cloud computing (CC) adoption factors has examined the effects of only a small number of firm’s characteristics on CC adoption. The purpose of this paper is to investigate empirically the effects of a wide set of firm’s characteristics, which concern four important aspects of it, its strategy, processes, personnel and technology, on the propensity to adopt CC.

Having as theoretical background the technology, organization and environment (TOE) theory of technological innovation adoption, in combination with Scott-Morton’s framework on firm’s main elements, ten research hypotheses have been developed based on previous CC and management literature. They were tested using data collected through the e-Business W@tch Survey of the European Commission from 676 European firms from three traditional manufacturing sectors.

The results reveal three characteristics of a firm that affect positively its propensity to adopt CC for all firm sizes: the adoption of ICT investment reduction strategy, the adoption of product/service innovation strategy and the sophistication of firm’s administration support ICT infrastructure. Furthermore, they reveal four additional characteristics of a firm that affect positively the propensity for CC adoption only in the small firms: the adoption of process innovation strategy, the employment of ICT personnel, as well as the sophistication of firm’s production support and e-sales ICT infrastructures.

First, this study provides a theoretical foundation for the elaboration of the organizational perspective of the TOE theory of technological innovation adoption, which opens a new stream of CC adoption factors research, investigating the effects of a wide range of firm’s characteristics on CC adoption. Second, based on the above foundation, this study enriches substantially the empirical literature on CC adoption factors. The main limitation of this study is that it has been based on data from only three European manufacturing sectors.

The findings provide new interesting insights concerning specific firm’s characteristics and therefore internal conditions that increase its propensity for CC adoption, and reveal specific kinds of strategy and ICT infrastructures for which CC is more appropriate and beneficial.

The authors have developed a theoretical foundation for extending our knowledge concerning the characteristics and internal conditions of firms that favor/promote the adoption of CC, which supports and enables the substantial extension of the existing knowledge base on CC adoption factors. Based on this theoretical foundation, the authors have formulated and tested ten research hypotheses concerning effects of firm’s strategic directions, processes, ICT infrastructures and ICT personnel, which have not been investigated previously, on CC adoption propensity.

The purpose of this paper is to explore the factors that drive the adoption of cloud-based services and further understand the impact of this adoption on the organizational flexibility. This study presents information technology executive’s perspective and discovers new constructs of organizational flexibility that can be achieved due to the adoption of cloud-based services, which is the main contribution of this paper.

This study uses in-depth interview approach. Total 21 Indian cases were studied by interacting with respondents having similar profiles (i.e. CIOs, CTOs, technology heads, and systems managers). Based on the literature review a semi-structured questionnaire was prepared and administered through in-depth interviews.

Analysis of data reveals that cloud-based services provide relative advantage in terms of scalability, accessibility, and on-demand deployment of services within no time. Easy to use interface, experience, and expertise of the cloud service provider as well as support from top management plays important role in the cloud adoption decision. Further the study also identifies that no matter which model of cloud-based services (software-as-a-service (SaaS), platform-as-a-service (PaaS), or infrastructure-as-a-service (IaaS)) is used; cloud-based services’ adoption impacts organizational flexibility, which can be divided into four categories, namely, economic flexibility, process flexibility, performance flexibility, and market flexibility.

This is an exploratory study conducted through in-depth interviews hence the results can further be verified through a quantitative research. The study does not explore negative factors that may discourage adoption of cloud-based services. Though two factors vendor lock-in and security emerged as a concern very prominently in the in-depth interviews but this issue can further be explored in detail.

This study bridge the gap in the research by identifying the factors that drive the adoption of cloud-based services in different forms (SaaS, PaaS, and IaaS) as well exploring the impact of cloud adoption on the organizational flexibility in case of Indian organizations.

Start‐up companies in particular can benefit from cloud computing services, since frequently they do not operate an internal IT infrastructure. The purpose of this paper is to present a total cost of ownership (TCO) approach for cloud computing services.

The authors applied a multi‐method approach (systematic literature review, analysis of real cloud computing services, expert interviews, case study) for the development and evaluation of a formal mathematical TCO model.

It was found that decision processes in cloud computing are conducted ad hoc and lack systematic methods. The presented method raises the awareness of indirect and hidden costs in cloud computing.

Some restrictive assumptions were made. For instance, cost types that focus on an existing internal IT infrastructure were hidden. Future research can combine risk and security aspects by means of a TCO approach. Additionally, benefits management in cloud computing is another new research field that can, for instance, be explored by means of cost‐benefit analyses.

The analysis of relevant cost types and factors of cloud computing services is an important pillar of decision making in cloud computing. The software tool allows for an easy application of the TCO model with reasonable effort.

The paper provides an evaluated mathematical model for the calculation of the TCO of cloud computing services. With this tool, decision makers are able to decide whether outsourcing into the cloud is monetarily attractive; to be more specific, whether the costs associated with cloud computing services are lower than with a pre‐existing infrastructure.

Today, the high cost of e-learning systems’ implementation and the difficulty of managing the infrastructures motivate educational institutions toward application of cloud-based e-learning systems. This new system should be aligned with the academics’ aims and pedagogical principles to be beneficial for learners and instructors. Therefore, the vendor selection of learning systems is one of the most important processes to migrate toward cloud-based e-learning. The purpose of this paper is to develop a new framework to facilitate the vendor selection of cloud-based e-learning systems in the cloud market.

To identify the initial criteria as to the vendor selection of cloud-based e-learning services, a literature review is done. To enrich the initial criteria, a focus group of experts is investigated, and the framework developed; then, a survey analysis is conducted to validate the proposed framework. The extracted criteria and sub-criteria are weighted and prioritized using best-worst method (BWM).

The results indicate that the main dimensions of vendor selection framework as regards cloud-based e-learning systems are managerial, technological and pedagogical factors. The rank orders and weights of the mentioned aspects and their sub-criteria are calculated using the BWM.

The proposed framework helps managers to get a big picture of requirements as to cloud-based e-learning and more effectively to select appropriate vendors in this initiative. In the vendor selection process, managers must pay attention to technological issues as well as managerial and pedagogical considerations.

Cloud-based e-learning systems are getting increasingly essential to offer training courses more efficiently in educational institutions. Although the intersection between cloud computing and e-learning has increasingly grown in both practical and academic contexts, there are little studies on how educational institutions and organizations could be able to select appropriate cloud-based e-learning systems. This paper explores the ignored but critically important subject of cloud-based e-learning. The main contribution of this paper is to propose a novel and integrated framework containing the important aspects of vendor selection in cloud-based e-learning services. The proposed framework comprises managerial, technological and pedagogical aspects simultaneously as well as sub-criteria denoting each aspect.

This study aims to find out the current state of cloud-based library services in selected academic and special libraries of Bangladesh. The study also explored some pertinent problems faced by librarians in implementing this new technology in library services and activities.

The study used a mixed-method approach with a range of exploratory research questions. Purposive sampling technique was used to select the libraries. A set of structured questionnaires was designed to address the objectives of the study. For in-depth analysis, short interviews with the library professionals were also conducted.

Only four libraries made use of cloud computing services, and they maintained a partial cloud environment. Most responding librarians treated cloud computing as a dynamically scalable infrastructure for applications, data and file storage with charges imposed. Most of the respondents (90%) preferred cloud computing for “Software-as-a-Service”. Due to the high subscription rate (70%), unreliable online payment system (60%) and trading system (60%), librarians treated cloud computing as a burden in providing library services and activities. Respondent librarians were also interviewed for exploring their views on cloud computing in library services. For adopting cloud computing in library services of Bangladesh, “sufficient financial allocation” and “organizations’ positive decision over cloud computing” were mentioned as challenging tasks by the respondents. Finally, the study suggested some solutions to the problem and proposed a model for a cloud-based library system that can be replicated in libraries and information centres of other developing countries too.

This paper encapsulates the overall scenario of cloud-based library activities and services in Bangladesh. Based on the available secondary sources, no empirical study on librarians’ perceptions of cloud computing in library services of Bangladesh has been carried out before this study. Thus, this is perhaps the first attempt to quantitatively measure cloud-based services in Bangladeshi libraries.