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Social networks have changed the communication patterns significantly. Information available from different social networking sites can be well utilized for the analysis of users opinion. Hence, the organizations would benefit through the development of a platform, which can analyze public sentiments in the social media about their products and services to provide a value addition in their business process. Over the last few years, deep learning is very popular in the areas of image classification, speech recognition, etc. However, research on the use of deep learning method in sentiment analysis is limited. It has been observed that in some cases the existing machine learning methods for sentiment analysis fail to extract some implicit aspects and might not be very useful. Therefore, we propose a deep learning approach for aspect extraction from text and analysis of users sentiment corresponding to the aspect. A seven layer deep convolutional neural network (CNN) is used to tag each aspect in the opinionated sentences. We have combined deep learning approach with a set of rule-based approach to improve the performance of aspect extraction method as well as sentiment scoring method. We have also tried to improve the existing rule-based approach of aspect extraction by aspect categorization with a predefined set of aspect categories using clustering method and compared our proposed method with some of the state-of-the-art methods. It has been observed that the overall accuracy of our proposed method is 0.87 while that of the other state-of-the-art methods like modified rule-based method and CNN are 0.75 and 0.80 respectively. The overall accuracy of our proposed method shows an increment of 7–12% from that of the state-of-the-art methods.

The aim of this research is to analyze the success of digital transformation (DT) in the management and performance of organizations. To do so, the role of IT and its ability to integrate in organizations that provide professional services with high added value for their clients are investigated. These services require highly developed skills as they solve complex problems for the clients and this means that success depends on gathering knowledge from different sources (customers, public administrations and competitors). This study analyses the decisive and complementary role of IT in this process.

The analysis combines quantitative and qualitative methods. After questioning managers of Spanish KIBS companies about certain components of DT, the gathered data are subsequently processed with PLS-SEM to establish causal relationships.

The results show that digital capability is the determinant of DT. It has a positive effect on the digital resources integrated in KIBS companies and on their organizational performances.

Future research should continue to analyze other components of TD that drive the organizational performance of KIBS firms, such as technological culture or government policies that encourage digital transactions. The present study analyzes data from companies that are part of a single economic sector in Spain which may limit the conclusions drawn. It would be particularly useful to confirm the applicability of the results in companies operating in different markets to explore the direct relationship between digital capability and organizational performance.

This research has implications for managers of KIBS companies, as it shows the high potential of the ability of IT to implement and manage a TD process. Managers can benefit from IT management practices using the appropriate tools (ERP, CRM and management software) to gain more knowledge of customer behavior with the possibility of easily codifying and analyzing the data, which significantly influences innovation activities. The objective is to develop a strong internal capability to absorb knowledge from day-to-day interactions with customers by using IT effectively. This process leads to an improvement in the organizational performance of KIBS companies, as they become more effective in decision making with improved internal communication, generate greater employee satisfaction and reach new customers. Following strategies aimed at the implementation and use of the technological resources studied creates more agile firms and helps to close the production gap between SMEs and large companies.

The results obtained can help create sustainable businesses through cloud-based technology tools. It can provide insights for policy makers to implement economic policies that help SMEs to become more competitive and sustainable.

The development of digital technologies and the ability to manage them is one of the decisive factors that conceptualizes DT and improves organizational performance. This research contributes to the understanding of the need for managers of KIBS companies to follow strategies oriented towards the digitization of their organizations and for the collaborators to have a high level of IT training, especially in the use of cloud technology.

In the domain of healthcare, both process efficiency and the quality of care can be improved through the use of dedicated pervasive technologies. Among these applications are so-called real-time location systems (RTLS). Such systems are designed to determine and monitor the location of assets and people in real time through the use of wireless sensor networks. Numerous commercially available RTLS are used in hospital settings. The nursing home is a relatively unexplored context for the application of RTLS and offers opportunities and challenges for future applications. The paper aims to discuss these issues.

This paper sets out to provide an overview of general applications and technologies of RTLS. Thereafter, it describes the specific healthcare applications of RTLS, including asset tracking, patient tracking and personnel tracking. These overviews are followed by a forecast of the implementation of RTLS in nursing homes in terms of opportunities and challenges.

By comparing the nursing home to the hospital, the RTLS applications for the nursing home context that are most promising are asset tracking of expensive goods owned by the nursing home in order to facilitate workflow and maximise financial resources, and asset tracking of personal belongings that may get lost due to dementia.

This paper is the first to provide an overview of potential application of RTLS technologies for nursing homes. The paper described a number of potential problem areas that can be addressed by RTLS.