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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.

This article aims to discuss how the emergence of advanced semantic web technology has transformed the conventional web into machine processable and understandable form.

In this paper the authors survey the current research works, tools and applications on publishing legacy data as linked data with the aspiration of conferring healthier understanding of the working domain of the linked data world.

Today, a vast amount of data are stored in various file formats other than RDF, which are called legacy data. In order to publish them as linked data they need to be extracted and converted into RDF or linked data without altering the original data schema or loss of information.

Most of the key issues have to be addressed. A more sophisticated approach to this technology is the linked data, which constructs the transformation of web of documents into the web of connected data possible.

The purpose of this paper is to examine how cloud‐based information systems and services can support emerging and future requirements for sustainability governance of facilities.

The authors present basic elements of cloud‐based sustainability governance platforms, conduct a survey of existing industrial platforms and research works, discuss distinguishable and common characteristics of cloud computing platforms for sustainability governance, and give views on future research.

Cloud computing emerges as a potential candidate for supporting sustainability governance. However, several techniques must be provided in order to support multiple stakeholders, complex analysis and compliance processes.

The number of industrial platforms and research works in the survey is limited, as is information about industrial platforms. Furthermore, industrial platforms are continuously updated, thus some information might be outdated.

There exists no survey for understanding how cloud computing could be used for sustainability governance. The paper not only helps to understand state‐of‐the‐art in using cloud computing for sustainability governance but also discusses main components, stakeholders and requirements for cloud‐based sustainability governance platforms.

This paper explores the transformation of international business models in the context of international ICT businesses where cloud computing has triggered a major paradigm change in the way software and hardware related services are offered to international customers.

Through comparative analysis of two cases, this paper examines the business model transformation processes in the cloud computing context.

The key challenges of the case companies were related to business model transformation as cloud computing was triggering a change in most of the business model elements.

There is a need to define the concept of business model in a way that suits the cloud and internationalization.

Data service (DS) is a special software service that enables data access in cloud environment and provides a unified data model for cross-origination data integration and data sharing. The purpose of the work is to automatically compose DSs and quickly generate data view to satisfy users' various data requirements (DRs).

The paper proposes an automatic DS composition and view generation approach. DSs are organized into DS dependence graph (DSDG) based on their inherent dependences, and DSs can be automatically composed using the DSDG according to user's DRs. Then, data view will be generated by interpreting the composed DS.

Experimental results with real cross-origination data sets show the proposed approaches have high efficiency and good quality for DS composition and view generation.

The authors propose a DS composition algorithm and a data view generation algorithm according to users' DRs.

This study is an exploration of areas pertaining to the use of production data in non-production environments. During the software development life cycle, non-production environments are used to serve various purposes to include unit, component, integration, system, user acceptance, performance and configuration testing. Organisations and third parties have been and are continuing to use copies of production data in non-production environments. This can lead to personal and sensitive data being accidentally leaked if appropriate and rigorous security guidelines are not implemented. This paper aims to propose a comprehensive framework for minimising data leakage from non-production environments. The framework was evaluated using guided interviews and was proven effective in helping organisation manage sensitive data in non-production environments.

Authors conducted a thorough literature review on areas related to data leakage from non-production systems. By doing an analysis of advice, guidelines and frameworks that aims at finding a practical solution for selecting and implementing a de-identification solution of sensitive data, the authors managed to highlight the importance of all areas related to sensitive data protection. Based on these areas, a framework was proposed which was evaluated by conducting set of guided interviews.

This paper has researched the background information and produced a framework for an organisation to manage sensitive data in its non-production environments. This paper presents a proposed framework that describes a process flow from the legal and regulatory requirements to data treatment and protection, gained through understanding the organisation’s business, the production system, the purpose and the requirements of the non-production environment. The paper shows that there is some conflict between security and perceived usability, which may be addressed by challenging the perceptions of usability or identifying the compromise required. Non-production environments need not be the sole responsibility of the IT section, they should be of interest to the business area that is responsible for the data held.

This paper proposes a simplified business model and framework. The proposed model diagrammatically describes the interactions of elements affecting the organisation. It highlights how non-production environments may be perceived as separate from the business systems, but despite the perceptions, these are still subject to the same legal requirements and constraints. It shows the interdependency of data, software, technical infrastructure and human interaction and how the change of one element may affect the others. The proposed framework describes the process flow and forms a practical solution in assisting the decision-making process and providing documentary evidence for assurance and audit purposes. It looks at the requirements of the non-production system in relation to the legal and regulatory constraints, as well as the organisational requirements and business systems. The impact of human factors on the data is also considered to bring a holistic approach to the protection of non-production environments.

The purpose of this paper is to present a comprehensive picture of the innovative efforts undertaken over time to develop the digital technologies for managing the interface between supply chain management and marketing processes and the role they play in sustaining supply chain management-marketing (SCM-M) integration from an information processing point of view.

Patent analysis and actual examples are used to carry out this study. In detail, first, the authors identify the subset of enabling technologies pertaining to the fourth industrial revolution (Industry 4.0) that can be considered the most relevant for effective SCM-M integration (i.e. Industrial Internet of Things, Cloud computing, Big Data analytics and customer profiling, Cyber security). Second, the authors carry out a patent analysis aimed at providing a comprehensive overview of the patenting activity trends characterizing the set of digital technologies under investigation, hence highlighting their innovation dynamics and applications.

This research provides insightful information about which digital technologies may enable the SCM-M integration. Specifically, the authors highlight the role those solutions play in terms of information acquisition, storage and elaboration for SCM-M integration by relying on illustrative actual examples. Moreover, the authors present the organisations more involved in the development of digital technologies for SCM-M integration over time and offer an examination of their technological impact in terms of influence on subsequent technological developments.

So far, much has been said about why marketing and supply chain management functions should be integrated. However, a clear picture of the digital technologies that might be adopted to achieve this objective has yet to be revealed. Thus, the paper contributes to the literature on SCM-M integration and Industry 4.0 by highlighting the enabling technologies for the Industry 4.0 that may particularly serve for managing the SCM-M interface from an information processing perspective.