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The concept of smart city has recently become more topical in academic and policy discussions. This idea is considered a complex, non-consensual subject since its definition has not yet been agreed upon by most authors in the relevant fields. The need to identify and measure smart city indicators has also given rise to many different evaluation procedures. However, the available frameworks have yet to overcome challenges in structuring and measuring all the evaluation parameters of the cities in question. Thus, methods still need to be developed and applied that can structure criteria used to assess smart city success.

This study sought to show cognitive mapping's tangible usefulness as an expedient tool for strategic analysis, using smart cities as a complex object of study. To this end, various cognitive maps were constructed and compared using the Strategic Options Development and Analysis (SODA) approach.

Cognitive mapping's advantages and limitations in the strategic visualization research context are analyzed and discussed.

The authors know of no prior work reporting comparative analysis of this methodological approach in the same research context.

The purpose of this paper is to develop a better understanding of how transportation system factors affect city housing markets. The goal was to show that identifying these factors alone is not enough without also examining their effects and variations according to the housing location.

Transportation system factors were identified by conducting a thorough literature review. The factors’ relevance was tested using a quantitative methodology and a sample of 317 Vilnius residents. This city was next divided into three zones, and data collected from 18 real estate experts was subjected to qualitative analysis. The analytic hierarchy process was then applied to identify transportation system factors’ level of impact and dynamics by the housing location.

The results show that the factors affect the housing market in question but that these effects vary by the housing location and the most critical factors differ for each city zone.

Only data on Vilnius were used. Further research is needed to compare transportation factors’ dynamics in multiple cities.

Priorities in transportation system improvements should be assessed to facilitate sustainable urban development and enhance the residents’ quality of life. Housing market regulations can only be successful if investment in transportation systems is allocated purposefully and coherently.

This research went beyond identifying transportation system factors by employing a broad, systematic approach to clarifying potential options for regulating housing markets through transportation system projects.

The study aims to highlight the barriers faced by the entrepreneurs toward achieving sustainability in business and innovation cultivation by offering solutions for academicians, practitioners and policymakers. The study uses the resource-based view (RBV) theory to discuss how an organization’s resources and capabilities influence the competitive ambience and barriers faced by entrepreneurs.

The present research uses grey-causal modelling (GSC) to analyse the barriers against successful entrepreneurship.

The research focuses on the usefulness of dynamic capabilities, managing and cooperating resources in the entrepreneurship setting. The paper highlights the importance of resource gathering and nurturing as a method to combat scarcity. This research further identifies that financial limitations, regulatory obstacles, challenges to sourcing qualified labour, poor infrastructure and technology, limited mentorship opportunities, lack of scalability, low initial cost barriers in product development and risk-averse attitudes are the major factors hindering entrepreneurs from obtaining sustainable business and innovation.

The contribution of this research to the literature is that it assesses RBV theory within the realm of entrepreneurship, providing a different perspective on resources and capabilities as well as the challenges faced by entrepreneurs. The systematic approach to the analysis and prioritization of various barriers is innovative, and it adds knowledge in this area.

The selection of effective library software not only plays an important role for students, academic staff and the library staff but also helps an institution by having the library management system more centralized. Therefore, the aim of this study is to develop a multiple-criteria decision analysis (MCDA) cause and effect factor model for the implementation of the Greenstone Digital Library (GSDL) software.

A thorough review of the literature is conducted to develop an initial list of the appropriate evaluation factors that play a significant role in the implementation of GSDL software. The data were collected from a domain of experts in the library sciences field. A combined approach of Delphi-DEMATEL methods is employed for the definition of these factors and to construct an MCDA cause-effect model which represents their relationships.

The DEMATEL analysis resulted in the division of all factors into two groups, causes and effects. The results show that content management, having a user-friendly interface and usability, information search and retrieval and authentication and authorization fall into the cause group. These factors directly affect the remaining factors. Content acquisition, classification, access, control and privacy management and metadata submission and support fall into the effect group. The research findings can help library professionals to make effective decisions to facilitate the successful implementation of GSDL software in a library and the enhancement of library technology.

The results of this study can be useful for library professionals and decision-makers to select the most appropriate software for the implementation of library technology. The study analysis shows that for GSDL, user-friendly interface and usability, information search and retrieval plus authentication and authorization factors have seven positive relationships with other factors. Secondly, content management and classification have six relationships with other factors. Thirdly, access control plus privacy and management have two relationships. Content acquisition has only one relationship with other factors. It is recommended that the user-friendly interface and usability, information search and retrieval, as well as authentication and authorization should be the initial areas of focus if GSDL is to be implemented successfully in digital libraries.

The proposed MCDA cause-effect model can be useful for library professionals or decision-makers in the context of selecting software to be implemented in a library and to minimize implementation costs.

This research conducts bibliometric analyses and network mapping on smart libraries worldwide. It examines publication profiles, identifies the most cited publications and preferred sources and considers the cooperation of the authors, organizations and countries worldwide. The research also highlights keyword trends and clusters and finds new developments and emerging trends from the co-cited references network.

A total of 264 records with 1,200 citations were extracted from the Web of Science database from 2003 to 2021. The trends in the smart library were analyzed and visualized using BibExcel, VOSviewer, Biblioshiny and CiteSpace.

The People’s Republic of China had the most publications (119), the most citations (374), the highest H-index (12) and the highest total link strength (TLS = 25). Wuhan University had the highest H-index (6). Chiu, Dickson K. W. (H-index = 4, TLS = 22) and Lo, Patrick (H-index = 4, TLS = 21) from the University of Hong Kong had the highest H-indices and were the most cooperative authors. Library Hi Tech was the most preferred journal. “Mobile library” was the most frequently used keyword. “Mobile context” was the largest cluster on the research front.

This study helps librarians, scientists and funders understand smart library trends.

There are several studies and solid background research on smart libraries. However, to the best of the author’s knowledge, this study is the first to conduct bibliometric analyses and network mapping on smart libraries around the globe.