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The purpose of this study is to explore the perceptions of built environment professionals on the benefits and impediments limiting the widespread acceptance of vertical greening systems (VGSs) in Lagos, Nigeria. This study contributes to the knowledge on the adoption of VGSs from the socio-technical dimension.

The study employed a survey method. An online questionnaire was used to obtain information from the respondents. The questionnaire was divided into four (4) sections. The first section focused on the socio-demographic variables while the second section addressed knowledge of VGSs, willingness to educate clients on the use of VGS and the possibility of VGS improving city image in Lagos. Section three (3) focused on the VGS benefits, subdivided into environmental, economic and aesthetic qualities and measured on a five-point Likert scale. Lastly, section four (4) concentrated on the impediments to the use of VGS in Lagos.

Professionals are willing to adopt the use of VGSs if their clients agree to the benefits it delivers to occupants, the environment and the building fabric.

This paper fulfills an identified need to study the perceptions of professionals toward VGSs patronage.

This study aims to formulate a user-friendly pre-design model that could be a decision support tool for green wall systems to assist designers in selecting an optimal green wall system aligned with specified performance criteria while concurrently addressing project requirements linked to social and economic parameters. This approach seeks to enhance overall project satisfaction for the designer and the owner.

A correlation between the green wall context and design requirements and its performance on the buildings have been defined by considering its social and economic parameters, which represented the owner preferences to ensure the most satisfaction from installation as it achieves the required performance that is defined by the designer such as maximizing thermal insulation, improving indoor air quality, reducing the needed heating and cooling loads, etc. and also to achieve the satisfaction in social and economic requirements defined by the owner such as system installation cost, system maintenance cost, adding beauty value, etc.

The research developed an easy pre-design model to be a tool for green wall system decision-making for the most suitable system, which contains three main steps: the first one is defining the required performance of the green wall (designer requirements), the second step is limiting the context of the project which is made by designer and the owner requirements and finally the third step is choosing the system components that ensures achieving the requirements of both owners and designer, related to the building and climate context.

The added value lies in developing a green wall decision-making tool, essentially a pre-design model. This model considers the correlation between the project’s context, encompassing climate and building conditions. It provides a structured approach for decision-making in the early stages of green wall design. It offers valuable insights into the optimal choices related to system type, installation methods and plant characteristics. This enhanced decision-making tool contributes to more informed and efficient design processes, considering each project’s specific needs and conditions.

The evolution from emerging technologies to smart libraries is thoroughly analyzed thematically and bibliometrically in this research study, spanning 2013 through 2022. Finding and analyzing the significant changes, patterns and trends in the subject as they are represented in academic papers is the goal of this research.

Using bibliometric methodologies, this study gathered and examined a large corpus of research papers, conference papers and related material from several academic databases.

Starting with Artificial Intelligence (AI), the Internet of Things (IoT), Big Data (BD), Augmentation Reality/Virtual Reality and Blockchain Technology (BT), the study discusses the advent of new technologies and their effects on libraries. Using bibliometric analysis, this study looks at the evolution of publications over time, the geographic distribution of research and the most active institutions and writers in the area. A thematic analysis is also carried out to pinpoint the critical areas of study and trends in emerging technologies and smart libraries. Some emerging themes are information retrieval, personalized recommendations, intelligent data analytics, connected library spaces, real-time information access, augmented reality/virtual reality applications in libraries and strategies, digital literacy and inclusivity.

This study offers a thorough overview of the research environment by combining bibliometric and thematic analysis, illustrating the development of theories and concepts during the last ten years. The results of this study helps in understanding the trends and future research directions in emerging technologies and smart libraries. This study is an excellent source of information for academics, practitioners and policymakers involved in developing and applying cutting-edge technology in library environments.

Literature on product innovation (PI) has witnessed tremendous growth over the past 60 years. Yet, there has been a dearth of a comprehensive review of the extant PI research maintaining the breadth and depth of the topic. To seal this gap, this paper aims to explore the intellectual foundations and emergent trends in 2,588 research papers on PI from 1962 to 2022.

The paper adopts a bibliometric analysis approach via visualization maps of prolific contributions, co-citation, co-occurrence and thematic networks.

Emerging streams, frontiers and hotspots in PI research are revealed and a knowledge graph is developed. The review provides a broad spectrum of opportunities that enrich imminent research to better inform business decisions.

The review addresses 20 research questions associated with barely examined areas in PI research that require further analysis in imminent research.

To the best of the authors' knowledge, this is the first review that comprehensively synthesizes the intersected knowledge base of PI research using bibliometric analysis of a vast number of documents within a long time span.