Management approaches in the field of smart
fahime mahavarpour; feiz davood; Morteza Maleki MinBashRazgah
Abstract
Augmented Reality (AR) is an emerging topic for managers across different disciplines While augmented reality technology literature is growing, there is no comprehensive analysis of augmented reality technology in marketing transformation The research aims to bridge the knowledge gap by providing a multifaceted ...
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Augmented Reality (AR) is an emerging topic for managers across different disciplines While augmented reality technology literature is growing, there is no comprehensive analysis of augmented reality technology in marketing transformation The research aims to bridge the knowledge gap by providing a multifaceted bibliographic overview of augmented reality technology literature in marketing and reveal its trends, areas of focus and intellectual foundations. The study is based on 496 articles published on Web of Science between 1996 and 2023. According to the findings, the concept mainly revolves around seven main areas: human-machine interaction in future of digital marketing and Metaverse, advertising and customer response in online purchases, marketing challenges in industry 4 and new technologies, the effect of virtual technology on customer loyalty in retail, adoption of behavioral technology of Tourism customers, augmented reality technology marketing in the decision-making process of buyers and brands, and finally the richness of social media in e-commerce in Covid 19. While priorities and research topics have evolved over time, key concepts such as buying experience, shopper behavior, buying decision making, technology adoption have been repeated. The three influential schools of augmented reality technology in marketing are associated with integrated theory, planned behavior theory (TPB) and cognitive evaluation theory that have shaped the intellectual foundations of the discipline but we believe that a greater diversity of fields is needed to examine and describe augmented reality technology in marketing transformation.
Management approaches in the field of smart
vahid sharifi; Gholamreza hashemzadeh Khorasgani; Seyed Alireza Derakhshan; Ashraf Shahmansouri; Abotorab Alirezaee
Abstract
AbstractIn 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 ...
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AbstractIn 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.1.IntroductionThe paradigm of social manufacturing can provide suitable solutions for problems of traditional manufacturing such as (non-demand production, high cost production, non-creative production, etc.), However, considering the freshness of this paradigm and the partial studies around it, currently, there is no clear understanding of it in the manufacturing. the present research has been done for manufacturers, organizations and manufacturing companies in case of confronting the market changes so that they can take safe steps to face environmental changes. The main problem is the lack of recognizing theparameters that should be taken into account in order to use all the possible capabilities of social manufacturing. However, no specific research has been done in this field so far. In fact, this research seeks out to answer the following questions:What are the main areas of social manufacturing?What are new topics and emerging trends associated with research in the field of social manufacturing? Literature Reviewever since the last ten years now, researchers have given attention to the concept of social manufacturing. Many researchers have studied the technology and applications of social manufacturing (Pingyu Jiang & Ding, 2012). Similarly, an organizational communication network model has been developed by some based on the social manufacturing. (P. Jiang et al., 2015) in a research, Hamalainen and his colleagues have proposed the basic characteristics of social manufacturing as well (Hamalainen, 2018) also Shang and his colleagues, have designed a social manufacturing model for producing shoes and clothes. (Xiong, Helo, 2022).Correspondingly, Xiang and colleagues (2022) in an investigation have explored the key factors of the transition from mass production to social manufacturing. The outcome of this research is that expanding the concept of Internet of Things, deploying multiple sensors and the usage of data mining with the purpose of managing production data with a large volume, variety and speed in the physical system, will lead to the continuous growth of the industry of manufacturing.3.Methodologythe present research seeks out to identify the playing field of social manufacturing, its subfields and research trends by examining 200 articles from the Scopus database using bibliometric analysis. "VOS Viewer" software is used for bibliometric as well. the software has been using for providing bibliometric maps, visualization of the coinciding of keywords, citation, analysis of bibliographic pairs, co-citation map and other things, through distance-based maps. In order to analyze the new topics, two different parts have been used. the first part is the usage of a cover map and the second part is the analysis of the average lifetime of words. Building a cover map is one of the methods to identify the changes in scientific fields and examine their developments. Cover maps are things that are the outcome of combining two maps with each other. For instance, we use these maps when we need to display the role of time on a science map (Mousavi and colleagues, 1400, quoted by Rafols et al., 2010).4.ResultsBased on the result of the clustering of the keywords co-occurrence map (Figure 5), the five identified research clusters are as follow:Cluster 1: This cluster deals with social manufacturing and correlated technologies such as 3D printing, 3D modeling, social sensors, social cyber-physical systems, RFID and social computing. This indicates that research efforts are dedicated to explaine the infrastructure technologies of social manufacturing.Considering the average publication year of 7/2016 for keywords in the cluster, these topics are more developed in social manufacturing than the others.Cluster 2: The researches of the second cluster are associated with industry 4 and various new production methods with social manufacturing.Industry 4 is a concept which attempts industries become smart, dynamic and flexible. This industry seeks to overcome new challenges such as global competition, market fluctuations, development of customization, establishment of innovation and product life cycle management (Ostadi and Nasiri, 1401). Cloud manufacturing, intelligent manufacturing, digital manufacturing, crowdsourcing, outsourcing, and mass customization. As revealed in figure 5, the most frequent words of this cluster are: industry 4, crowdsourcing and cloud manufacturing, which include a significant number of associated researches with social manufacturing. The age of the keywords in this cluster illustrates the consideration to industry 4 in social manufacturing initiated roughly from 2014 and then the cluster has been inclined towards crowdsourcing and mass customization with an average of 2016.5.Cluster 3: As illustrated in figure 5, a significant number of researches connected with social manufacturing have been carried out in applying new technologies. the most frequent keywords of this cluster include: Internet of Things, cloud computing, deep learning, big data, blockchain, 5thG internet and digital twin.The average year of publishing the keywords of the field is 7/2018, which indicates the researches, especially Blockchain and Internet of Things, can be considered as a research field which has been recently examined.Cluster 4: Researches of this cluster refers to the effect of consumer demand and participation. keywords such as manufacturing platforms, personalized production, personalized products, social media, and the role of the consumer are among the keywords of this cluster.Cluster5: Social sustainability is one of the notions connected with sustainable development, which was counted in the developing programs of different countries from the 1960s onwards. nevertheless, due to the lack of consensus on its components and its place among other apparatuses, it has been treated in many different ways practically.Social sustainability refers to the capability of a society to preserve the necessary means of producing wealth, prosperity and social contribution in order to expand integration and cohesion. As a concept, it also seeks to preserve the social and cultural components of an integrated society with the environmental and economic dimensions. the role of social sustainability is precisely significant in sustainable development (Vaezzadeh and others, 2015). ConclusionThe present study identifies five research clusters as follow:Social manufacturing and its infrastructural technologiesResearches correlated with the connection between new methods of production and industry 4 with social manufacturingResearches related to new technologies such as blockchain and Internet of Things with social manufacturingResearch connected to the concepts of consumer participation in manufacturing (the role of supply and demand) such as mass customization and crowdsourcingStudies in social sustainability, sustainable development, collaborative economy and the fifth generation of societyMoreover, by means of a cover map the present research has achieved the newest topics in social manufacturing such as cloud computing, intelligent production, social computing, blockchain, Internet of Things, cyber- physical social systems, innovative systems, digital twins, the fifth generation of society, and machine learning by using the analysis of the average life of words.discoveries of the present research will help manufacturers and manufacturing companies, to know the emerging areas and components of social manufacturing, and equipped in case of changes and use all the capabilities of social manufacturing. what's more, the analysis of keywords identifies the intellectual bases of discourse in social manufacturing. Furthermore, the findings of bibliographic pair analysis identify influential articles in this field as well, so that researchers can benefit from them as the theoretical foundations of this field.
parisa mousavi; Alireza Salehan; Reza Yousefi Zenouza
Abstract
Over the last years, extensive research has been done in the field of blockchain technology and there are a growing number of areas to which blockchain is being applied, creating broad knowledge in this field. Classifying the subfields and identifying new topics and research trends in the area of blockchain ...
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Over the last years, extensive research has been done in the field of blockchain technology and there are a growing number of areas to which blockchain is being applied, creating broad knowledge in this field. Classifying the subfields and identifying new topics and research trends in the area of blockchain would be of significant help to researchers. The present study aims to review and categorize studies on blockchain technology, identify subfields, and achieve a coherent view of its research process. using bibliometric analyses. The data used in this research has been collected from 423 articles in the Scopus database. Then, the bibliographic coupling analysis and keyword co-occurrence have been performed.According to the findings of this study, researches on blockchain technology are divided into 5 clusters: 1. Computer systems, 2. Financial sciences, 3. Smart contracts, 4. Data management and authentication, and 5. Electronic cash. In recent years, topics such as machine learning, trust, deep learning, risk assessment, edge computing, Ethereum, and consensus have drawn the attention of the research community. This research provides a comprehensive classification of the main concepts and topics discussed in blockchain-related research, designated to help researchers in this field choose a line of research.
