جستجوی مقالات مرتبط با کلیدواژه « Bibliometric analysis » در نشریات گروه « مدیریت »

This article reviews the literature on articles in corporate sustainability. By reviewing the authors, citation structure, publications, and nations, this study reviews the progress of this field and summarizes the research process. This bibliographic analysis examines the literature on corporate sustainability and shows the structure of articles and research trends. The information gathered is extracted from the primary collection of the Web of Science database from 2001 up to 2022. The number of articles obtained is 2246 articles. VOSviwer software is used to perform initial analysis and citation analysis, co-citations, bibliographic coupling, co-authoring, among others. Generally, there are eight main clusters of articles on corporate sustainability: (1) corporate and entrepreneurial sustainability; (2) corporate sustainability strategies; (3) corporate sustainability measurement indicators, (4) corporate sustainability and business transformation management; (5) corporate sustainability and sustainable development goals and reports; (6) corporate sustainability and its effect on financial efficiency; (7) ethics and social responsibility and (8) theories of corporate sustainability. The research contribution is to show the evolution of this issue so that researchers can use it in their theoretical and research frameworks.

Innovation in the field of emerging technologies outside the public sector has changed citizens' expectations of governments' ability to provide high-value digital services, and digital transformation has emerged as an important phenomenon in strategic information systems research. In recent years, research on digital transformation and its applications in various fields has expanded, leading to the creation of extensive, diverse, and scattered knowledge in this area. In recent years, digital transformation has been identified as a research priority for managers and researchers in the public and government sectors. The importance of this research area and attention to it in digital government studies has made it necessary to identify its sub-domains and research trends. This study aims to review research in the field of digital transformation in government and public organizations, identify core articles, recognize sub-domains, and research trends.

In recent years, with the expansion of the concept of sustainable development in the life cycle of construction projects and the dynamic and eventful nature of these projects, the issue of sustainable risk management has garnered increasing attention from researchers. However, the lack of systematic reviews and bibliometric analyses of published research in this field has obscured the future perspectives and evolution of this area of study. This study aims to evaluate and synthesize the existing body of literature to identify potential research gaps and delineate the boundaries of knowledge in the risk management of sustainable construction projects (SCPs).

This study is descriptive-analytical and is classified as a systematic review in terms of implementation method. The PRISMA guidelines were adopted for the systematic review of the literature, including descriptive and content analysis. In this process, 1,630 articles published in the Scopus and Web of Science databases from 2015 to 2023 were retrieved and screened, resulting in 113 eligible articles for analysis. To complete the systematic literature review, a bibliometric analysis encompassing co-authorship and keyword co-occurrence analysis was conducted using VOSviewer software for a more comprehensive evaluation of the field of risk management in sustainable construction projects (SCPs).

Regarding the descriptive analysis of the retrieved papers based on the year of publication and their frequency in various journals, it was found that research on risk management in sustainable construction projects (SCPs) has increased in recent years. The content analysis of the articles, based on research themes, indicated that the articles were classified into five main themes: general risks of sustainability, sustainable procurement, supply chain, technology adoption, and human resources. A deeper exploration of the papers revealed that SCPs' risks were primarily categorized into eight dimensions: financial and economic; social; executive, managerial, and organizational; knowledge and skills; governmental and legal; stakeholders/employers; environmental; and technology, equipment, and resources. According to the research methods, experimental and applied research contributions in SCPs' risk management were less prevalent compared to descriptive and review research. This highlights opportunities for conducting applied research that addresses various problems and assumptions. In terms of strategy, a significant number of papers employed the survey method, with some based on case studies. Given that the accuracy and generalizability of survey research results are typically higher than those of case studies, there is a noticeable preference for the survey strategy among researchers. Additionally, researchers often used statistical analysis methods to assess SCPs' risks. According to the bibliometric analysis and the keyword co-occurrence results in the field of SCPs' risk management, it is anticipated that future researchers will focus more on concepts, approaches, and fields such as the circular economy, recycling, risk assessment, factor analysis, leadership in energy and environment, developing countries, and questionnaire surveys.

According to the findings, future articles are expected to focus on completing the puzzle of sustainability risk management systems in sustainable construction projects (SCPs), specifically addressing identification, evaluation, control, and response to risk. This focus should be particularly prominent in developing countries and should be approached through experimental and applied studies utilizing mixed methods and hybrid approaches under uncertainty. Various studies have examined barriers and risks in construction projects from different sustainability perspectives, such as economic, environmental, and social. However, the economic dimension has received more attention from researchers than others, which does not provide a comprehensive assessment of the risks associated with sustainable projects. Such comprehensive studies are crucial for the efficient allocation of resources. The primary contribution of this research to the bibliometric analysis of SCPs' risk management lies in its unique approach to determining the direction of future research.

The objective of this study is to conduct a systematic review and meta-analysis of mutual fund performance evaluation studies, focusing on the historical evolution of performance assessment methods based on fund style.

This research is divided into two main sections. The first section involves a quantitative analysis of prominent ISI-listed studies on mutual fund performance from 1900 to 2023, using bibliometric software such as HistCite™ and VOSviewer. This bibliometric analysis identifies and categorizes key studies based on citation counts. The second section reviews the evolution of mutual fund performance measurement criteria and various approaches used in the literature, critically analyzing the strengths and limitations of these methods.

The bibliometric analysis revealed significant trends in mutual fund performance evaluation, with a clear evolution in methodologies over time. The study identified two primary approaches: asset-based analysis and return-based analysis. Key findings indicate that while both approaches have their merits, asset-based analysis offers a more accurate assessment of managerial skill by considering the composition of the fund’s holdings. Additionally, the analysis highlighted the most cited studies and influential journals in the field, providing a comprehensive overview of the research landscape.

The study concludes that mutual fund performance evaluation has significantly evolved, with increasing complexity and sophistication in methodologies. The findings underscore the importance of selecting appropriate performance measurement criteria based on the specific characteristics of the mutual fund.

Today, we are witnessing the widespread use of artificial intelligence in various fields of marketing. For example, Prime Air Amzon.com uses drones to automate transportation. Domino's Pizza is experimenting with self-driving cars and delivery robots to deliver pizzas to customers' doorsteps. Lexus uses IBM Watson to script its "Intuition Drive" TV commercials. Based on emotional analysis, affective detects the emotions of consumers while watching advertisements. Replica is a chatbot based on machine learning that provides emotional comfort to customers by imitating their communication styles. It has even been claimed that artificial intelligence will fundamentally change the future of marketing. However, academic marketing research to date has not provided sufficient guidance on how best to leverage the benefits of AI for marketing impact. Artificial intelligence systems and programs have become widespread in different industries and different sectors of companies and organizations and have led to close competition between them and have also provided various opportunities for marketing strategy and process. However, research on the application of artificial intelligence in marketing planning has been scattered, and there is a need for a comprehensive research on the past research trend and the future trend of this issue. The current study aims to identify the antecedents and consequences of the application of artificial intelligence in the develop a marketing plan.

This study was conducted with a mixed approach, in the quantitative section by using bibliometric network analysis of existing research background published between 2010 and 2022 and in the qualitative section by using the meta synthesis strategy. A comprehensive review of 115 articles indexed in the Scopus database helped to identify the performance of scientific actors such as the most appropriate authors and the most appropriate sources. In addition, co-authorship and co-occurrence analysis using VOSviewer software suggested a conceptual and rational network. By applying the meta synthesis method to investigate the dimensions of the marketing plan based on artificial intelligence, 59 articles out of 115 indexed articles were analyzed.

According to the results, only one paper was published in 1985 in the field of "Artificial Intelligence and Marketing". Until 2010, when this issue has been gradually noticed by researchers, and the trend of publishing articles from 2010 to 2022 had an upward trend. In 2021, 50 articles have been published, and in 2022, 21 articles have been published until today. Most of the articles related to artificial intelligence and marketing have been published in the Australian Journal of Marketing. To understand the most effective source, 5 of the most suitable sources were compared in terms of H index and SJR index. Journal of Business Research in terms of H index and Journal of Marketing Science Academy in terms of SJR index have the most points and are the most suitable sources. "Liu Wai" won the highest rank among all researchers with 3 articles published in the field of artificial intelligence and marketing. "Liu Wei" has an H-index of 8 and 16 published articles, while "Huang" has an H-index of 75 and 328 published articles, which has more citation records than the rest of the authors. Among the analyzed articles, the highest percentage of studies related to the product/consumer factor (38%) and the lowest The percentage of studies conducted is related to the price/cost factor (14%). Based on the results of the meta synthesis study, it is possible to use mechanical artificial intelligence for standardization, intellectual artificial intelligence for personalization, and emotional artificial intelligence for relationalization. Based on the results, the antecedents of the use of artificial intelligence in developing a marketing plan include technological, organizational, environmental, behavioral and individual factors and the consequences include customer experience, customer journey management, profitability, competitive advantage, customer satisfaction, customer loyalty, customer relationship management and customer engagement.4. Discussion and coclusion: The research findings of the review of all scientific sources conducted from 2010 to 2022 show that so far no comprehensive research has been done for the integration of the Rabazi program stage. Therefore, the most important finding of this research is the review, analysis and classification of the planning phase of artificial intelligence based on metacombination. In this research, 59 articles that directly examined the issue of marketing planning based on artificial intelligence were selected for analysis. The selected studies were coded and finally, 152 distinct primary codes were identified. In the next step, the codes were categorized in the form of 35 concepts or sub-categories, and finally, based on the results of the analysis, concepts in 4 main categories as dimensions of the evaluation program based on artificial intelligence, 5 main categories as antecedents of the evaluation program based on The basis of artificial intelligence and 7 main categories were identified as suffixes of the marketing program based on artificial intelligence, and their quality test was also confirmed. Finally, based on the analysis, a model for the use of artificial intelligence in developing a marketing plan is proposed, which consists of the three dimensions of artificial intelligence, mechanical, intellectual, and emotional, and their benefits include standardization, personalization, and relationship building. It uses marketing mix dimensions.

This study set out to investigate the trend of studies conducted on tourist experience using bibliometric analysis. To this end, the study analyzed 2683 articles published in the Web of Science database from 1980 to 2020 using the VOS Viewer software to visualize and analyze the results. In this regard, two analysis levels were considered. At the first level, the publication trend and the impact factor of authors, journals, and articles were examined. At the second level, the structure of the co-occurrence network of keywords and the co-authorship network of authors, institutions, and countries were analyzed. The findings of the study indicated a significantly growing trend of studies (most of which were published in 2019) conducted on tourism experience in recent years, which is expected to continue to grow in the future. On the other hand, hospitality and leisure, management, and environmental studies were found as the highly researched areas, with most articles being published on tourism experience. Moreover, social media, trust, user opinions, and competitiveness are among the emerging research areas in the relevant literature. In this regard, health tourism, culinary tourism, social experience, shared value creation, authenticity, cultural experience, destination experience, backpackers, information technology, cultural differences, cultural heritage, students’ experiences, sustainable management, and transportation are among the main topics addressed in the literature. On the other hand, the analysis of the authors' co-authorship network revealed that thirty-five research groups are currently working in this field worldwide, with the Hong Kong Polytechnic University exerting the highest influence on the international collaboration network.

In recent years, studies on the paradigm of social Manufacturing and its applications have been developed as a new production paradigm and have led to the production of diverse and scattered knowledge in this field. Knowing the sub-fields, new topics and the research process of the social production paradigm can be of great help to researchers in this field. The current research has been carried out with the aim of identifying and categorizing research in the field of social Manufacturing, recognizing sub-fields and achieving a coherent view of its research process.This research has investigated the research field of social Manufacturing using bibliometric analysis. The data of this research was collected from 200 articles of the Scopus database and an analysis of the co-occurrence analysis of key words and bibliographic pairs was performed on them, and in this way the sub-fields and the research process of this field were identified.Based on the findings of this study, the research in the field of social Manufacturing has been categorized into 5 clusters and it has also been determined that in recent years, topics such as cloud computing, smart production, blockchain, Internet of Things, social physical cyber systems, innovation systems, society 5.0 and Digital twins have received more attention in research in this field. This research provides a framework of concepts and main topics of interest in the research field of social production, which provides a comprehensive perspective for researchers in this field that can help in choosing their research path.

Digital media platforms have experienced very rapid growth in recent years and, accordingly, have affected various aspects of business. These platforms, due to their success in competing with their traditional counterparts in the media industry, have been able to conquer the media markets’ engagement in activities and create market share. Considering that digital technologies are growing and spreading rapidly, the question is how to create a sustainable competitive advantage on these platforms. Traditional businesses may have advantages over competitors, such as lower costs, greater flexibility, and effective management, and use these advantages to succeed in the market. Businesses with a sustainable competitive advantage can create more value for customers and improve their position in the market. However, in the new global economy, digital platforms are often pervasive and developed because they enable interactions between audiences and facilitate service innovation. In addition, the nature of digital media platforms brings dynamism and audience engagement, which has provided a new organization in the context of technology. In other words, new digital approaches, such as digitalization and digital transformation, have changed the fabric of businesses, and with the possibility of new forms of economic exchanges, creating a competitive advantage has also faced fundamental changes and transformations. Although digital technologies and the ecosystem of digital platforms have provided great value to large enterprises on a global scale, it is unclear how these platforms can provide a sustainable competitive advantage. The multicategory and variety of topics in a field show the diversity of topics and the multidisciplinary nature of that research field. Digital media platforms are diverse fields covering different topics. In the past few decades, reliance on digital media platforms and sustainable competitive advantage has grown significantly, and managers' awareness of how to compete has developed. In parallel with this trend, researchers have increasingly focused on digital platforms for academic research. Therefore, creating a sustainable competitive advantage on digital media platforms is a dynamic field that includes broad subject categories. In this research, bibliographic analysis was used to understand the changes in research in this field to create a competitive advantage. The purpose of this research is to provide a general classification of studies conducted in the field of creating sustainable competitive advantage in digital media platforms and to identify and outline the scientific process of studies.

The current research deals with the bibliographic analysis of research in the field of digital media platforms and creating a sustainable competitive advantage, and is a descriptive-analytical type of study. Bibliographic analysis is an interdisciplinary method that enables the mapping of research topics in the research field. The research community comprises all scientific productions in the field of digital media platforms and sustainable competitive advantage, which is indexed in the WOS. Bibliographic analysis is a common method for quantifying scientific production using statistical methods, and is considered a suitable tool for systematic analysis in various fields with the aim of evaluating the studies conducted, the trends of a specific subject, and the direction of future research. To retrieve articles related to this research, a search was conducted in the main collection section of the Web of Science database from 2000 to 2022. According to the search formula, the number of works related to the studied field was 838, which were used as reference articles for bibliographic analysis to find the best articles, researchers, and countries. In addition, cluster analysis was used to classify subjects and countries. To illustrate, checking the frequency of keywords, drawing the co-authorship network, and citation analysis of the articles, a full report including the names of the authors, title, abstract, keywords, sources, and information of each journal was taken from the WOS database using the R language and bibliometrix package and VOS Viewer software 1.6. This software is suitable for analyzing and visualizing the relationships between keywords and citations.

According to the string of search terms in the Web of Science database, 838 articles were identified between 2000 and 2022. The significant growth of the literature on sustainable competitive advantage in digital media platforms started in 2015. The highest number of articles in 2022 (80 articles) and the highest number of citations were in the strategic management journal with 12,690 citations. In addition, in the co-occurrence analysis of keywords, six clusters were obtained: competitiveness strategies, innovative and value-creating models, organizational learning, strategic management of resources, sustainable performance, and culture and leadership.

Numerous social and cultural factors affecting media activity, the complexity of human issues, and changes in the audience's taste have increased the ambiguity in the production and supply of media products and have faced many challenges to competitiveness. Due to the lack of a comprehensive study of sustainable competitive advantage in digital media platforms, the current research seeks to identify the factors affecting the creation of sustainable competitive advantage to increase the competitive power of digital media platforms. In the current study, the scientific production of different researchers in the field of sustainable competitive advantage was investigated using digital media platforms. In addition, by drawing thematic clusters, the most frequent concepts in this field and their evolutionary processes were presented. By determining the research trends in this field, it was found that, at first, there was a purely source-oriented perspective on creating a competitive advantage; however, over time, this view changed, and the roles of innovation, entrepreneurship, leadership, and organizational learning became more colorful. Considering the importance of innovation and how innovation is formed to create a sustainable competitive advantage, the first research area for future research is how innovative strategies and business model innovation can lead to creating a sustainable competitive advantage in digital media platforms. It is also suggested that researchers develop business models that personalize the value-creation mechanism in digital platforms. Another field is related to the investigation of organizational learning-facilitating factors and the transfer of tacit knowledge to transfer experiences in line with sustainable competitive advantage, which should be considered in future research.

Tourism can, on the one hand, strengthen national and ethnic identities, and on the other hand, it can accelerate fading of these identities. In addition, national-ethnic identity is one of the obstacles against rapid cultural homogenization due to globalization. Considering more than five decades of research on tourism and national-ethnic identity, and the lack of a comprehensive review of literature, this study aims to conduct a quantitative literature review using bibliometric analysis. Performance analysis and science mapping of 383 documents indexed in the Scopus database were performed using VOSviewer_1.6.18 software in order to understand the social and conceptual structure of the research field. The findings revealed that in the last decade research on heritage tourism among diaspora and immigrants, outbound tourists’ representation of their national-ethnic identity, and the representation of the destinations’ national-ethnic identity through tourism have been among the hot topics that can also be considered in future studies.