Key Opportunities and Challenges of Data Migration in Cloud: Results from a Multivocal Literature Review

Cloud data migration is the procedure of moving information, localhost applications, services, and data to the distributed cloud computing infrastructure. The success of this data migration process is depending on several aspects like planning and impact analysis of existing enterprise systems. One of the most common operations is moving locally stored data in a public cloud computing environment. This paper, through a multivocal literature review, identifies the key advantages and consequences of migrating data into the cloud. There are five different cloud migration strategies and models prescribed to evaluate the performance, identifying security requirements, choosing a cloud provider, calculating the cost, and making any necessary organizational changes. The results of this research paper can give a road map for the data migration journey and can help decision makers towards a safe and productive migration to a cloud computing environment.publishedVersio

NoOps – A Multivocal literature review

Traditionally, an organization had to have in-house servers and hardware to build a web application. This evolved into Cloud computing where the possibility for cost reduction and scalable data storage became a reality. With the introduction of cloud computing came a concept known as NoOps, or No Operations. This paper aims to take a closer look into what NoOps is and the benefits and challenges of NoOps. The authors identified three RQs that could help to give more insight into NoOps. Further we discussed the findings and RQs and lay out the way forward for future studies into NoOps. We also looked at artificial intelligence (AI) and how AI seems to be heavily linked with a true NoOps environment. With the lack of scientific studies into NoOps, a Multivocal literature review was selected as the method used to investigate the concept and its implications. We try to show voices both for and against NoOps. Further, we try to look at a misconception of what NoOps really is, what true NoOps could be. Finally we look at what requirements there are for companies wanting to go NoOps, and discuss the possibility that many companies unknowingly are moving towards a NoOps environment.publishedVersio

Convergence of Gamification and Machine Learning: A Systematic Literature Review

Recent developments in human–computer interaction technologies raised the attention towards gamification techniques, that can be defined as using game elements in a non-gaming context. Furthermore, advancement in machine learning (ML) methods and its potential to enhance other technologies, resulted in the inception of a new era where ML and gamification are combined. This new direction thrilled us to conduct a systematic literature review in order to investigate the current literature in the field, to explore the convergence of these two technologies, highlighting their influence on one another, and the reported benefits and challenges. The results of the study reflect the various usage of this confluence, mainly in, learning and educational activities, personalizing gamification to the users, behavioral change efforts, adapting the gamification context and optimizing the gamification tasks. Adding to that, data collection for machine learning by gamification technology and teaching machine learning with the help of gamification were identified. Finally, we point out their benefits and challenges towards streamlining future research endeavors.publishedVersio

Mentoring & coaching: It perspective

The development of the intellectual capital of the corporations nowadays represents one of the most significant challenges for the managers of and one of the most fertile fields for the enterpreneurial innovation. The present article shows a vision over two of the techniques of formation of people with greater impact at the present time: the Mentoring and the Coaching. Both terms have been object of debates regarding to their applications, existing, in spite of their notoriety, great confusion on their differences and possible applications. The article reviews the origin of the concepts, its differences and similarities and explores with depth, the applications of it in the field of the Management of the Technologies of the Information.El desarrollo del capital intelectual de las corporaciones representa uno de los retos más significativos para los gestores de hoy en día y uno de los campos más fértiles para la innovación empresarial. En el presente artículo se presenta una visión sobre dos de las técnicas de desarrollo de personas que cuentan con mayor impacto en la actualidad: el Mentoring y el Coaching. Ambos términos han sido objeto de multitud de debates sobre sus aplicaciones, existiendo, pese a su notoriedad, gran confusión sobre sus diferencias y posibles aplicaciones. El artículo repasa el origen de los conceptos, sus diferencias y similitudes y explora con profundidad las aplicaciones del mismo en el campo de la Gestión de las Tecnologías de la Información.Publicad

Towards a framework for developing visual analytics in supply chain environments

Visual Analytics (VA) has shown to be of significant importance for Supply Chain (SC) analytics. However, SC partners still have challenges incorporating it into their data-driven decision-making activities. A conceptual framework for the development and deployment of a VA system provides an abstract, platform-independent model for the whole process of VA, covering requirement specification, data collection and pre-processing, visualization recommendation, visualization specification and implementation, and evaluations. In this paper, we propose such a framework based on three main aspects: 1) Business view, 2) Asset view, and 3) Technology view. Each of these views covers a set of steps to facilitate the development and maintenance of the system in its context. The framework follows a consistent process structure that comprises activities, tasks, and people. The final output of the whole process is the VA as a deliverable. This facilitates the alignment of VA activities with business processes and decision-making activities. We presented the framework\u27s applicability using an actual usage scenario and left the implementation of the system for future work

Towards a framework for developing visual analytics in supply chain environments

Visual Analytics (VA) has shown to be of significant importance for Supply Chain (SC) analytics. However, SC partners still have challenges incorporating it into their data-driven decision-making activities. A conceptual framework for the development and deployment of a VA system provides an abstract, platform-independent model for the whole process of VA, covering requirement specification, data collection and pre-processing, visualization recommendation, visualization specification and implementation, and evaluations. In this paper, we propose such a framework based on three main aspects: 1) Business view, 2) Asset view, and 3) Technology view. Each of these views covers a set of steps to facilitate the development and maintenance of the system in its context. The framework follows a consistent process structure that comprises activities, tasks, and people. The final output of the whole process is the VA as a deliverable. This facilitates the alignment of VA activities with business processes and decision-making activities. We presented the framework's applicability using an actual usage scenario and left the implementation of the system for future work

Innovative teaching methods in Engineering

[EN] Engineering and innovation are inseparable concepts [1]. This symbiotic relationship is shown in engineers’ workplaces, in engineering research and development processes but also is present in engineers’ education methods

Culture dimensions in software development industry: The effects of mentoring

Software development is a human centric and sociotechnical activity and like all human activities is influenced by cultural factors. However, software engineering is being further affected because of the globalization in software development. As a result, cultural diversity is influencing software development and its outcomes. The software engineering industry, a very intensive industry regarding human capital, is facing a new era in which software development personnel must adapt to multicultural work environments. Today, many organizations present a multicultural workforce which needs to be managed. This paper analyzes the influence of culture on mentoring relationships within the software engineering industry. Two interesting findings can be concluded from our study: (1) cultural differences affect both formal and informal mentoring, and (2) technical competences are not improved when implementing mentoring relationships

Visual Analytics for Decision Support: A Supply Chain Perspective

Supply chain (SC) activities generate huge amount of data that can be used in decision making processes. However, proper data analytics techniques are required to combine, organize, and analyze data from different sources and produce required insights available for decision makers. These techniques promote analytical reasoning of the events and patterns hidden in the data using visualizations, so-called Visual Analytics (VA). Although there is a large number of VA systems to facilitate the process of analysis and decision making, there is a lack of an adequate overview of what already exists in this area for SC management. To address that need, we conducted a systematic literature review to analyze the state of the art in SC VA systems. Particularly, we focus on use cases, the type of the decisions that a VA system intended to support, the type of visualizations employed, the type of analytics used, and the data that has been used for analysis. The goal of this study is to provide SC and VA researchers with an overview of the works carried out in the field of SC VA, helping them to observe latest trends and to recognize existing gaps that need further investigation. Consequently, a mapping between decisions of various SC business processes and their reciprocal visualization techniques and tactics have been provided. Adding to that, VA applications and use cases in SC are identified based on the SC Operation Reference (SCOR) model and underlying decision areas are recognized.publishedVersio