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The building and construction industry has a significant potential to reduce adverse climate change effects. There are plans to improve the natural resource use and greenhouse gas emissions caused by the buildings by choosing energy-efficient technologies, renewable energy sources and sustainable architectural and constructional elements. This study systematically reviews the patent data for climate change mitigation technologies related to buildings, aiming to detect their relative importance and evaluate each technology in the Y02B network.

The applied approach covers the process of (1) selecting high-impact technology, (2) collecting patent data from the USPTO database, (3) creating a citation frequency matrix using cooperative patent classification codes, (4) linking high-impact patents with analytical network process method, (5) limiting centrality of identifying core technologies from indicators and (6) creating a technology network map with social network analysis.

The study results show that energy-saving control techniques, energy-efficient lighting devices, end-user electricity consumption, management technologies and systems that convert solar energy into electrical energy are core solutions that reduce the effects of climate change. In addition, solutions that will support core technologies and whose effects are expected to increase in the coming years are energy-efficient heating, ventilating and air conditioning systems, smart grid integration, hybrid renewable energy systems, fuel cells, free cooling and heat recovery units and glazing technologies.

Most of the studies on patent analysis have failed to demonstrate any convincing evidence down to the lowest component groups of an entire technology network. The applied approach considers and evaluates each component included in a technology network from a holistic perspective.

The purpose of this paper is to analyze the wind energy technologies using the social network analysis based on patent information. Analysis of patent documents with social network analysis is used to identify the most influential and connected technologies in the field of wind energy.

In the literature, patent data are often used to evaluate technologies. Patents related to wind energy technologies are obtained from the United States Patent and Trademark Office database and the relationships among sub-technologies based on Corporate Patent Classification (CPC) codes are analyzed in this study. The results of two-phase algorithm for mining high average-utility itemsets algorithm, which is one of the utility mining algorithm in data mining, is used to find associations among wind energy technologies for social network analysis.

The results of this study show that it is very important to focus on wind motors and technologies related to energy conversion or management systems reducing greenhouse gas emissions. The results of this study imply that Y02E, F03D and F05B CPC codes are the most influential CPC codes based on social network analysis.

Analysis of patent documents with social network analysis for technology evaluation is extremely limited in the literature. There is no research related to the analysis of patent documents with social network analysis, in particular CPC codes, for wind energy technology. This paper fills this gap in the literature. This study explores technologies related to wind energy technologies and identifies the most influential wind energy technologies in practice. This study also extracts useful information and knowledge to identify core corporate patent class (es) in the field of wind energy technology.

The world is increasingly threatened by climate change. As the dimensions of this danger grow, it becomes essential to develop the most effective policies to mitigate its impacts and adapt to these new conditions. Technology is one of the most crucial components of this process, and this study focuses on examining climate change adaptation technologies. The aim of the study is to investigate the entire spectrum of technology actors and to concentrate on the technology citation network established from the past to the present, aiming to identify the core actors within this structure and provide a more comprehensive outlook.

The study explores patent citation relationships using social network analysis. It utilizes patent data published between 2000 and 2023 and registered by the US Patent and Trademark Office.

Study findings reveal that technologies related to greenhouse technologies in agriculture, technologies for combatting vector-borne diseases in the health sector, rainwater harvesting technologies for water management, and urban green infrastructure technologies for infrastructure systems emerge as the most suitable technologies for adaptation. For instance, greenhouse technologies hold significant potential for sustainable agricultural production and coping with the adverse effects of climate change. Additionally, ICTs establish intensive connections with nearly all other technologies, thus supporting our efforts in climate change adaptation. These technologies facilitate data collection, analysis, and management, contributing to a better understanding of the impacts of climate change.

Existing patent analysis methods often fall short in detailing the unique contributions of each technology within a technological network. This study addresses this deficiency by comprehensively examining and evaluating each technology within the network, thereby enabling us to better understand how these technologies interact with each other and contribute to the overall technological landscape.

The importance of innovation has drastically increased across diverse academic and industrial fields. Innovation has been considered an outcome of intellectual capital management. The role of innovative literacy in intellectual capital management needs to be understood. Employees at all levels of the organisation carry out managerial and/or technical innovation activities by integrating their knowledge (with other members, including researchers and developers) and innovative attitude in line with the organisational goals. This study focuses on the methodological approaches to intellectual capital components at a conceptual level, based on the framework of innovative literacy, which is not prominent in the literature.

A meta-synthesis analysis was conducted, examining published articles from 1990 to 2016 based on selected keywords. The meta-synthesis analysis explored the concept of innovation literacy by revealing some of the relationships involved in intellectual capital performance.

The findings point to gaps and methodological weaknesses in innovative literacy research and provide insights for future research.

While the findings of this study are useful, there are some limitations and recommendations for future research: One limitation of this study arises from the selection of the articles used in meta-synthesis analyses; these were published during the period 1990–2016. An expansion of the article selection to include articles published before 1990 can be useful to better understand the vision on innovation and intellectual capital. This research fills a conceptual gap in the literature. However, since this concept is evaluated using the human, customer and structural components of intellectual capital, researchers in the future can evaluate this concept with other components of intellectual capital. Finally, this research does not present a hypothesis on the relationship between innovative literacy and intellectual capital.

This study provides a novel conceptual view of integrating theories for ensuring sustainability of intellectual management and innovative literacy by synthesising findings from academic studies.

This study aims to propose a novel approach based on utility mining to find the associations among wind energy technologies.

The proposed approach uses patent documents and utility mining. Associations among wind energy technologies have been evaluated to show how the proposed approach works in practice.

Determining the relationships between wind energy technologies provide essential information to investors and decision-makers. Therefore, a real-life case study of wind energy technology is performed to show how the proposed approach works in practice. The proposed approach founds technology classes associated with wind energy technology. Furthermore, the strongest associations among technologies are also obtained by the proposed approach. The results of the case study show that the proposed approach can be easily used in practice. The maximum size of itemsets is 18-level itemsets. Y02E and F03D cooperative patent classification (CPC) codes appear on all itemsets. As the technologies of Y02E and F03D are directly correlated, they will be mutually developed in the future. Additionally, the number of patent corresponding to Y02E and F03D CPC codes are 7,494 and 6,577, respectively.

This is the first study that applies the utility mining-based approach to patent documents. Different levels of importance among technologies based on patent citations and the number of repetitions of each technology class are considered in the proposed approach.

There is a need to understand the role of innovative literacy in intellectual capital literature. This study aims to develop the innovative literacy scale, starting from the framework of innovative literacy, which is not prominent in the literature. Accordingly, this study develops and validates an innovative literacy scale.

A quantitative research methodology was used for this study, whereby a unipolar 5-point Likert scale self-report questionnaire was designed. Scale development analyses were performed in three steps: (1) The first item pool was created by literature review; (2) preliminary quantitative testing of the reliability and validity of the items, including confirmatory factor analyses (CFA), was performed; and (3) final scale validation through a discriminant and validity test was done using descriptive factor analyses (DFA) and structural equation modelling (SEM).

For the developed scale, the sample size was 220 in the first stage, 440 in the second stage, and 457 in the third stage. The validity and reliability analyses of the results were completed using Statistical Package for the Social Sciences (SPSS) and Analysis of Moment Structures (AMOS) programs. After the preliminary stages, the validity and reliability tests of the scale were carried out, and 17 items (in 4 dimensions) of the innovative literacy scale were finally developed.

This research fills a conceptual gap in the literature. However, since this concept is evaluated using the human, customer and structural components of intellectual capital, future researchers may examine this concept together with other features of intellectual capital and with larger samples.

The article contributes to understanding innovation by developing a scale to evaluate InnoLiteracy, which may be an essential factor influencing innovative literate behaviours. The perceived multi-dimensional scale of InnoLiteracy will be beneficial for academicians and human resources professionals. Although there are studies in the related literature on the importance of the concept of innovative literacy, a scale from the perspectives of intellectual capital and sustainable innovation will be unique since there is no tool for its measurement yet. The findings of the InnoLiteracy research are meaningful, and the scale has the potential to meet the needs of researchers, schools, government agencies and businesses.

Although previous research has shown that proactive initiatives are mostly related to performance- and creativity-related outcomes, the questions of “how” and “when” proactivity brings about creativity are not still fully answered. This conceptual investigation aims to explain the intervening role of job crafting by conceptualising it as a behavioural mechanism that employees engage in to increase their functioning. Besides, this study examines initiative climate as a contextual factor that shapes this intervening mechanism.

Drawing on job demands-resources (JD-R) theory, we put forward propositions explaining how proactive employees engage in promotive and preventive forms of job crafting, which results in creative outcomes. This study’s theoretical approach also illuminates the person–context interaction in creativity research by incorporating initiative climate.

This study underscores the behavioural and contextual determinants of the employee proactivity and creativity relationship. This study discussed how proactive employees reveal their creative potential by engaging not only in promotive job crafting but also in preventive job crafting. Besides, this study suggested that a sufficient level of initiative climate might be a prerequisite for enacting proactive behaviour.

This study attempted to contribute to the current understanding of employee proactivity and creativity literature by conceptually investigating this relationship from the JD-R perspective. Therefore, in addition to the predictable outcomes of promotive job crafting, we also underscored the temporal role of preventive job crafting on employee creativity. Besides, this study stressed that initiative climate reflects a crucial contextual determinant in this relationship.

While the current knowledge in the field of educational leadership and management (EDLM) has been primarily based on research produced in English-speaking Western societies, there have been significant efforts by other societies to contribute to the knowledge production, especially during the past decade. The purpose of this paper is to identify the contribution of Turkey to the international EDLM literature by investigating the topical focus, conceptual frameworks and research designs of papers published by EDLM scholars from Turkey.

Descriptive content analysis method was employed to examine 315 empirical, review, conceptual and commentary papers published by Turkish scholars in core educational administration and Web of Science journals. The time period of the review left open-ended. However, in practical terms, it begins in the year 1994 when the first article from Turkey was published in any of the selected sources and ends at the end of 2018. Information relevant to the research was extracted from each article and was coded to facilitate quantitative analysis. Using Excel software, descriptive statistics including frequencies and percentages were provided for each research question.

Results show that Turkish EDLM scholars mostly rely on survey based quantitative research approach, employing advanced statistical techniques in the analysis of the data. However, mixed method and qualitative studies are relatively less common. Organizational behavior, school leadership and emotions stand out as most frequently used topics, while Turkish scholars are not interested in analyzing the educational outcomes such as student achievement and school improvement. Consistent with the findings related to topical foci, a large number of those who were interested in correlational studies examined the relationship between leadership roles and organizational behaviors.

The data set only included journal articles and excluded conference proceedings, books and theses/dissertations. Nevertheless, the authors believe this review adds significantly to previous reviews of local EDLM journals conducted by Turkish scholars. The authors concluded that the Turkish scholars should direct their future research to exploring and better understanding the practices of Turkish principals in schools by: diversifying their research topics; incorporating more qualitative and mixed-method designs; and taking into account specific features of the culture and educational system in Turkey.

Based on the current higher education context, reducing scholars’ teaching load, diversifying research funding opportunities, and modifying access to tenure tracks seem necessary interventions to support EDLM research with strong ties to practice and to the sociocultural context. In addition, policy changes aiming professionalization of administrative positions and establishing some forms of formal training for school principalship are needed. Such changes can help transfer the knowledge produced by the Turkish EDLM researchers to the practice and provide solutions to problems related to school administration.

This paper will add to recent effort to identify how a developing nation outside Western perspective approaches the field, and contributes to the global knowledge base.