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Source publication
The Internet of Things is nothing but the amalgamation of connectivity between physical devices and daily objects. This technology empowers how computers can gather meaningful information in many ways, interconnect themselves with various enabling technologies like Artificial Intelligence,
Context in source publication
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Citations
... In recent decades, the subject of KM had become increasingly important in discussions about organisational management since a significant change in theoretical paradigms occurred when Industry 4.0 innovations fully transformed the industrial environment (De Carvalho et al., 2018;Tuptuk and Hailes, 2018). In this current revolution, both humans and machines are at the centre of decision-making processes: machines are no longer simply data collectors but can contextualise data and make decisions by reproducing human cognitive processes (Vanitha et al., 2020;Minh Dang et al., 2019;Li et al., 2018). Furthermore, people are constantly connected via mobile devices and social media platforms, changing how people communicate (Schwarzmü ller et al., 2018). ...
... Digitalisation comprises all operations involving digital knowledge exchange between machine entities; consequently, knowledge remains digital throughout the numerous sharing processes. The IoTs are important to spreading this mode of knowledge: individuals work, communicate with others and manage their personal lives through equipment that IoT connects (Vanitha et al., 2020). Simultaneously, cloud has risen, and new customisable services are being supplied remotely to various network users; with the flexibility to customise these services, users' experiences can be improved (Minh Dang et al., 2019). ...
... Digitalisation is the process of combining digital knowledge into digital knowledge. Through digitalisation, digital knowledge stored on the web is analysed, deconstructed and reworked by extracting information that was previously not provided or was not accessible; this information is then redirected to other AI if requested (Li et al., 2018;Bibri, 2018;Minh Dang et al., 2019;Vanitha et al., 2020). IoT, BDA and AI are enabling technologies in this phase. ...
Purpose
The effect of digital transition on knowledge management (KM) processes is becoming relevant for companies operating in different industries and the body of literature examining this impact is rapidly growing. This paper aims to critically analyse the literature on the impact of digital transition on KM by rethinking the SECI model proposed by Nonaka and proposing the WISED model for the digital knowledge-creating company.
Design/methodology/approach
The systematisation of existing studies on the topic and the analysis of the evolution of knowledge creation process in the era of digital transition was carried out through a bibliometric approach.
Findings
According to the traditional epistemological and ontological dimensions and considering the innovative KM processes identified by this study (i.e. webification, informalisation, systematisation, explicitation and digitalisation), the results highlight how the proposed WISED model can be adopted by organizations to manage knowledge through the use of digital technologies.
Originality/value
Digital transition seems to open up new horizons that can expand the potential use of the WISED model for organisations and society.
... One of the most promising service platforms for the application is huge demand in storage area. Since data's are stored in cloud, the data center should be reliable and profitable [2,8]. The most significant and well known assistance in cloud is information stockpiling. ...
Rather than depending on the personal computer or local server, cloud computing is utilized to store manage and process data on remote sever network which is connected over internet. When large volume of data is stored in cloud there occur security issues, its essential that data stored in cloud are secure from unauthorized users. In order to overcome this issue, In this paper we propose a multilevel based authentication for secure data transfer over cloud. The proposed system has three modules first module defines how multilevel authentication is processed, second level determines how encryption is administered and final module deals with decryption process. To avoid the unauthorized access into the server a novel multilevel authentication is developed. In the proposed system data security is enhanced with the help of random key generation algorithm (RKGM). Hash based system is utilized data transmission and retrieval process. The proposed system is evaluated using memory and time.
