Intellectual Capital as a Key Factor of Knowledge Management in Organizations

Human capital is considered as the main source of organization’s competitive advantage. The necessity of identifying the notion of human capital from the point of view of its intellectual resources is justified. Knowledge is presented as the major component of human capital and the key factor in the process of intellectual products development. Implementation of information technologies in the process of knowledge management via development of the virtual educational platform is suggested with an objective to help enable the improvement of human capital application efficiency

Structural and Temporal Topic Models of Feedbacks on Service Quality – A Path to Theory Development?

There is growing interest in applying computational methods in analysing large amount of data without sacrificing rigour in Information Systems research. In this paper, we demonstrate how the use of structural and temporal topic modelling can be employed to produce insights of both theoretical and practical importance from the analysis of textual comments on the quality of services in hospitals. As a first step, we revealed the thematic structures in the comments as topics which were aligned with the SERVQUAL dimensions. Following this, we established the temporal precedence among SERVQUAL factors based on the evolution of the topics over time. Theoretically, our findings were consistent with the emerging consensus on the nature of SERVQUAL dimensions from extant quantitative research and offer new propositions on the relationships among these dimensions. From the practice perspective, we produced quantified measures of factors associated with healthcare service experienc

Knowledge Graph Development for App Store Data Modeling

Usage of mobile applications has become a part of our lives today, since every day we use our smartphones for communication, entertainment, business and education. High demand on apps has led to significant growth of supply, yet large offer has caused complications in users’ search of the one suitable application. The authors have made an attempt to solve the problem of facilitating the search in app stores. With the help of a website crawling software a sample of data was retrieved from one of the well-known mobile app stores and divided into 11 groups by types. These groups of data were used to construct a Knowledge Schema – a graphic model of interconnections of data that characterize any mobile app in the selected store. Schema creation is the first step in the process of developing a Knowledge Graph that will perform applications clustering to facilitate users’ search in app stores

Business Sentiment Analysis. Concept and Method for Perceived Anticipated Effort Identification

Representing a valuable human-computer interaction interface, Sentiment Analysis (SA) is applied to a wide range of problems. In the present paper, the researchers introduce a novel concept of Business Sentiment (BS) as a measurement of a Perceived Anticipated Effort (PAE) in the context of business processes (BPs). BS is considered as an emotional component of BP task contextual complexity perceived by a process worker after reading the task text. PAE is interpreted as a business process (BP) key performance indicator predicting urgency, criticality and complexity of the BP task processing. Using qualitative evaluation, the researchers proved the workability of both BS concept and its effective application method to measure PAE. As practical contributions of the research, quantitative support in a form of statistical reports and qualitative support in a form of task prioritization recommendations and time management for a BP worker are suggested

Exploring the Impact of Google Discover on Users and Publishers: A Data-Driven Study

The paper is dedicated to the analysis of Google Discover recommendation algorithms. The study is conducted on two online stores operating in Poland, for which the data from Google Search Console are available for 16 months. Google Discover is explored from the perspective of web users and web content publishers based on the total number of impressions and clicks and the click-through rate of the two websites. The results allow us to understand that although the users’ activity increases the website’s performance in Google Discover, its algorithms consider many more factors (like the popularity of other websites with similar content, users\u27 location, and frequency of content updates) and may remove the website from Discover despite a relatively high number of clicks. Additionally, the literature review conducted in the paper revealed a gap in scientific research dedicated to the phenomena of this content recommendation system

Interdisciplinarity in Smart Sustainable City education: exploring educational offerings and competencies worldwide

More and more higher education institutions are offering specialized study programs for current and future managers of Smart Sustainable Cities (SSCs). In the process, they try to reconcile the interdisciplinary nature of such studies, covering at least the technical and social aspects of SSC management, with their own traditionally discipline-based organization. However, there is little guidance on how such interdisciplinarity should be introduced. In order to address this gap, this paper identifies 87 SSC-related study programs from around the world and analyzes their disciplinary and interdisciplinary coverage. The analysis classifies programs and competencies, the former using text mining and clustering algorithms, the latter using Bloom’s taxonomy and correlation analysis

Application of Text Analytics in Public Service Co-Creation: Literature Review and Research Framework

The public sector faces several challenges, such as a number of external and internal demands for change, citizens' dissatisfaction and frustration with public sector organizations, that need to be addressed. An alternative to the traditional top-down development of public services is co-creation of public services. Co-creation promotes collaboration between stakeholders with the aim to create better public services and achieve public values. At the same time, data analytics has been fuelled by the availability of immense amounts of textual data. Whilst both co-creation and TA have been used in the private sector, we study existing works on the application of Text Analytics (TA) techniques on text data to support public service co-creation. We systematically review 75 of the 979 papers that focus directly or indirectly on the application of TA in the context of public service development. In our review, we analyze the TA techniques, the public service they support, public value outcomes, and the co-creation phase they are used in. Our findings indicate that the TA implementation for co-creation is still in its early stages and thus still limited. Our research framework promotes the concept and stimulates the strengthening of the role of Text Analytics techniques to support public sector organisations and their use of co-creation process. From policy-makers' and public administration managers' standpoints, our findings and the proposed research framework can be used as a guideline in developing a strategy for the designing co-created and user-centred public services

Using a General Extended Technology Acceptance Model for E-Learning (GETAMEL). A Literature Review of Empirical Studies

This paper examines peer-reviewed empirical studies using the General Extended Technology Acceptance Model for E-learning (GETAMEL). We have created a framework for examining the effects of the set of external variables on e-learning acceptance. The study reviews the independent variables (Experience, Subjective Norms, Enjoyment, Computer Anxiety, and Self-efficacy), and dependent variables (Perceived Usefulness, Perceived Ease of Use, Attitudes Towards Using, Intention to Use, and Actual Use), path coefficients, theoretical backgrounds, and the type of studies performed on the e-learning systems in the literature review. The paper examines the state of current research on the topic and points out gaps in the existing literature. The objective of the paper is both to provide an overview of the literature and to investigate the reasons for e-learning acceptance. As a result of the study, we present the mean values of the relations between variables adequate for the GETAMEL model in all the reviewed works. The findings of the review provide insight for further studies and the use of the GETAMEL model

Side Effects of National Immunization Program: E-Governance Support Toward Elders' Digital Inclusion

In response to the coronavirus pandemic, the European Union (EU) governments develop policies to regulate exclusive health protection actions that consider societal needs with the emphasis on elders. Given that the EU vaccination strategy uses a centralized ICT-based approach, there is little guidance on how seniors are included in national immunization programs (NIP). In this paper, we addressed a knowledge gap of the side effects of e-governance of NIP for the elderly. To fill this gap, we identified 40 side effects by analyzing online textual opinions (tweets, comments, articles) that express public perception regarding the results of the Polish NIP implementation to seniors' digital inclusion, categorized them into 8 categories and assign them to four e-governance functions. The main contribution of this paper is a better understanding of the digital divide and to provide guidelines for government policy improvement