Abstract
Telecoms are companies that provide communication services. In 2020 a drop in Telecom's revenues is expected due to COVID and this impact will remain for future years, with higher drops in coming years. The adoption of Self-Service Technologies allows to solve the problem of selling and serve the customers on-line, increasing customer loyalty, reducing cost, fostering innovation and thus increasing revenues. The major research question for this work is: Which factors influence the adoption of online self-service technologies by Business-to-Business customers of a Telecom?. In order to derive a conceptual framework to answer this question several theories where used: The Technology Acceptance Model (TAM), The Innovation Diffusion Theory (IDT) and the SST attitude/intention model. A conceptual framework that drives the adoption of Self-service technologies in Telecom B2B segments was proposed and tested.

Abstract
This paper aims to define a problem to be studied and summarize previous research work done. Remote work or telework enterprise model has been a growing trend. The Covid-19 pandemic forced businesses to adopt a temporary remote-working mode. Now managers are investigating whether this dnew working-mode is, or not, a better approach than the traditional working mode known as the office model. The proposed framework will support the transformation process from a physical into a remote work model supported by applying digital tools and methods. Furthermore, the framework proposed in this work aims to help business decision makers to decide which organizational model they should adopt after Covid-19: full-remote; hybrid or partially remote; or physical, also known as going back to the office. A simple and pragmatic framework is proposed to help organizations: understand if it's possible to transform a business from a physical (at the office) to a full or partial remote model; define the main goals of this transformation; create a simple template to map the new digital enterprise architecture in terms of tools, data management, business processes and human resources (job functions and digital skills).

Abstract
In a competitive business environment, strongly supported on Information and Communication Technologies (ICT), organizations increasingly need to be prepared to cope with disruptions in their activity and business processes. Business Continuity Management (BCM) encompasses effective planning for the relaunch of business processes in the short term, through the implementation of a Business Continuity Plan (BCP), which constitutes a decisive management factor for the continuity of value creation or guarantee of delivery of goods or services, to safeguard the business survival. This work addresses this issue, supported by a preliminary literature review oriented to identify and relate the common basis of components and activities of the BCM in the normative references, models and libraries of good practices, in order to explore the identification of its gaps in driving an achievable instrument to all organization sizes, considering each component of the BCM, allowing to assess the stage of preparedness, implementation and appraisal of the essential elements, with greater focus on ICT systems, that guide the BCM and the design of a BCP tailored to an organization.

Abstract
Current concerns in the field of sustainability are cross-cutting across several sectors. In this sense, the ability of organizations to effectively use information and communication technologies and to focus on sustainability, innovation and creativity are recognized as important factors. In this article, an approach is proposed to incorporate sustainability factors when introducing creativity into the Requirements Engineering process. With a view to building more agile and sustainable Information Systems, a case of applying the approach in identifying requirements is presented, incorporating sustainability concerns. The approach stimulates the discussion on sustainability in its multiple dimensions (human, environmental, social, technical, and economic), focusing on the Sustainable Development Goals and the needs of people.

Abstract
Social organizations are usually subject to a high number of requests. In addition, it deals with a variety of problems to which an answer is needed. In this context, it is important to understand how these organizations can better support their process activity: Can technologies help to solve the problems of social organizations in a more efficient way, bringing greater benefits to the community? This paper presents a study on the use of information technologies in Portuguese social organizations to meet the needs of these organizations in responding to current challenges. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Abstract
Enterprise Architecture (EA) is defined as a coherent set of principles, methods, and models used to design an organizational structure, containing business processes, information systems (IS), IT infrastructure, and other artefacts aiming the alignment of business, IT, and other organizational dimensions with the strategic objectives of a company. One of the most critical in Enterprise Architecture Management (EAM) is creating EA models representing different viewpoints for managing various company concerns on its IT landscape. At the same time, the speed of changes pressures EAM to automate modeling activities. In this context, architects need adequate tools to discover the current state of EA, enabling analyzing improvement opportunities and support architectural decisions making in a fast and agile way with more precision about the real conditions. EA Mining is the use of data mining techniques to automate the creation or update of EA models with data collected from different data sources. This work presents an exploratory review of the literature to gather the state of art on EA mining models from applications logs pursuing to automate the architecture modeling. Through this literature review, we identified the main aspects, techniques, and challenges of EA modeling automation.