Search Results (42)

As vast amounts of data are generated from various sources such as social media, sensors and online transactions, the analysis of Big Data offers organizations the ability to derive insights and make informed decisions. Simultaneously, IoT connects physical devices, enabling real-time data collection and exchange that transforms interactions within smart homes, cities and industries. The intersection of these fields is essential, leading to innovations such as predictive maintenance, real-time traffic management and personalized solutions. Utilizing a dataset of 8159 publications sourced from the Web of Science database, our research employs Natural Language Processing (NLP) techniques and selective human validation to analyze abstracts, titles, keywords and other useful information, uncovering key themes and trends in both Big Data and IoT research. Six topics are extracted using Latent Dirichlet Allocation. In Topic 1, words like “system” and “energy” are among the most frequent, signaling that Topic 1 revolves around data systems and IoT technologies, likely in the context of smart systems and energy-related applications. Topic 2 focuses on the application of technologies, as indicated by terms such as “technologies”, “industry” and “research”. It deals with how IoT and related technologies are transforming various industries. Topic 3 emphasizes terms like learning and research, indicating a focus on machine learning and IoT applications. It is oriented toward research involving new methods and models in the IoT domain related to learning algorithms. Topic 4 highlights terms such as smart, suggesting a focus on smart technologies and systems. Topic 5 touches upon the role of digital chains and supply systems, suggesting an industrial focus on digital transformation. Topic 6 focuses on technical aspects such as modeling, system performance and prediction algorithms. It delves into the efficiency of IoT networks with terms like “accuracy”, “power” and “performance” standing out. Full article

The current study aims to investigate ways through which the data on social customer relationship management (SCRM) enhance customer satisfaction (CS) as well as market effectiveness (ME) in the hotel industry. Moreover, it examines the mediator role of customer involvement using social media data (CIUSM). The moderating role of customer information processing capability (CIPC) between social customer relationship management (SCRM) and customer involvement using social media (CIUSM) was examined. Therefore, following the suggestions from Dominant (S-D) Logic, Social Exchange Theory (SET), and Dynamic Capabilities Theory (DCT), this research explores the role of SCRM in co-creation and organizational performance through the social media data of customers. Using PLS-SEM through SmartPLS, data from 389 participants were analyzed. The findings proved that SCRM directly improves both customer satisfaction and the effectiveness of the market due to the indirect effect of CIUSM data as a mediator among them. Also, it showed that SCRM improves directly CIUSM. Moreover, it proved the direct effect of CIUSM on customer satisfaction and market effectiveness. Moreover, CIPC, as a moderator, enhances SCRM impacts by demonstrating how hotels leverage data from social media activity as a competitive advantage. Based on the findings of this study, the three integrated theories provide a single framework to delve deeply into the intricate association between social media customer involvement to enhance hotel performance. Also, it ensures that hospitality managers engage customers, continuously respond to their needs and requirements, and embrace efficient data processing to deploy SCRM effectively. Full article

The conventional centralized Industrial Internet of Things (IIoT) framework is plagued by issues like subpar security performance and challenges related to storage expansion. This paper proposes a two-tier distributed secure storage framework based on blockchain for IIoT data. The authors first introduce the two-layer framework, which includes the edge network layer and the blockchain storage layer. The nodes in the edge network layer are classified into administrator nodes and ordinary nodes. It provides a lower latency network environment compared to cloud computing to preprocess raw industrial data. The blockchain storage layer provides storage space to keep data secure and traceable. Secondly, the authors propose a differentiated storage solution. Based on the timestamps of industrial data and the specific media access control (MAC) address, the Universally Unique Identifier (UUID) of the raw data is generated and uploaded to the blockchain for secure storage. Encrypt the corresponding raw data using the elliptic curve cryptography algorithm, and then upload it to InterPlanetary File System (IPFS) to expand the storage capacity of the blockchain. Deploy a smart contract on the blockchain to compare UUIDs for consistency in an automated, lightweight method to determine data integrity. Finally, we analyze the advantages brought by the integration of blockchain and IIoT. Additionally, the authors design comparative tests on different storage methods. The results prove that the security of this paper’s scheme is improved, and the storage performance is extended. Noteworthy enhancements include heightened throughput of data uploaded to the blockchain and minimized delay overhead. Full article

Human–machine interactions (HMIs) have penetrated into various academic and industrial fields, such as robotics, virtual reality, and wearable electronics. However, the practical application of most human–machine interfaces faces notable obstacles due to their complex structure and materials, high power consumption, limited effective skin adhesion, and high cost. Herein, we report a self-powered, skin adhesive, and flexible human–machine interface based on a triboelectric nanogenerator (SSFHMI). Characterized by its simple structure and low cost, the SSFHMI can easily convert touch stimuli into a stable electrical signal at the trigger pressure from a finger touch, without requiring an external power supply. A skeleton spacer has been specially designed in order to increase the stability and homogeneity of the output signals of each TENG unit and prevent crosstalk between them. Moreover, we constructed a hydrogel adhesive interface with skin-adhesive properties to adapt to easy wear on complex human body surfaces. By integrating the SSFHMI with a microcontroller, a programmable touch operation platform has been constructed that is capable of multiple interactions. These include medical calling, music media playback, security unlocking, and electronic piano playing. This self-powered, cost-effective SSFHMI holds potential relevance for the next generation of highly integrated and sustainable portable smart electronic products and applications. Full article

Social commerce plays a significant role in various aspects of the hotel industry. By using social commerce platforms such as Facebook, Instagram, and hotel booking websites, hotels can enhance their brand visibility, engage more effectively with guests, and stimulate hotel bookings. Nonetheless, prior research reported a lack of studies in this area, namely social commerce in the context of domestic tourism. Drawing on Stimuli–Organism–Response (SOR) theory as being a well-established framework in social commerce research, this study seeks to examine the impact of social commerce on hotel booking intentions, both directly and indirectly, by considering the mediating effects of both brand image and customer engagement. This research used an online survey questionnaire as a tool for collecting primary data from domestic tourists in Egypt during the period from January to April 2024. The study sample encompassed 315 participants who were recruited using the convenience sampling technique. Using Smart PLS 4.0 software, Structural Equation Modeling was performed to examine the proposed model and hypotheses. The results highlighted the significant impact of social commerce on both hotel brand image and customer engagement, which in turn encouraged booking intentions among potential domestic guests. The results also supported the significant mediating effect of hotel brand image and customer engagement in the relationship between social commerce and hotel booking intentions. This study provides some theoretical contributions to the literature of hospitality management by addressing notable gaps in knowledge. This study also suggests some practical implications for industry executives that support their social commerce techniques and boost booking intentions and behavior among domestic tourists such as creating visually attractive content, sponsoring virtual mega events, actively interacting with social media followers, and incorporating booking functionalities in social media platforms. In so doing, hotels can boost their sustainable marketing practices to target a promising market segment by exploiting Web 2.0 capabilities. Full article

Educational leaders in the 21st century are under increasing pressure since they need to consistently upskill and reskill themselves so that they can adapt to rapid changes and be prepared to improve the quality of future education, as well as meet the demands of diverse stakeholders. Previous studies in the Malaysian context mostly focused on leadership training for newly appointed school principals, but there has not been much emphasis on continuous professional development for school leaders. This article provides an in-depth analysis of the appointment, preparation, and support system for Malaysian principals. In this study, a qualitative methodology has been applied, which involves document analysis based on policy documents, media, and previously published journal articles. The findings suggest that internal and external supports are currently being provided to principals. However, it proposes a wider framework of support for principals comprising internal and external support, including smart partnerships with diverse stakeholders such as industries, non-profit organizations, and international counterparts. The results provide insights to policymakers on the importance of consistently supporting school leaders to upskill with multifaceted skills to perform multiple functions, such as technological, economic, social, cultural, political, and learning leadership. Full article

For over three decades, the European Union’s (EU) transport policy has aimed at fostering environmental sustainability and energy efficiency. Since 2015, European policymakers have focused more on three key sustainable development goals: decarbonizing the transport system, promoting low-emission mobility solutions, and transitioning to renewable and alternative fuels. To effectively communicate priorities and engage stakeholders, EU policymakers regularly use social media platforms like Twitter (now known as X). This active discourse involves policymakers, industrial stakeholders, the media, and the public, offering insights into the role of transport policy in addressing climate change and energy transition challenges. The current research endeavors to track and analyze the evolution of user-generated content related to climate change, energy transition, and smart mobility on Twitter from 2011 to 2021. This research uses text-mining and social network analysis techniques to quantitatively and qualitatively assess the dynamics of relevant EU policies and their effects. The study’s findings can be used to establish a robust monitoring and evaluation framework at the EU and national levels. This framework will assess the effectiveness of communicating strategic priorities for sustainable transport development. It also holds potential for application in other sectors, broadening its impact. Full article

The tourism industry has recently undergone a significant evolution because of the implementation of Information and Communication Technologies (ICT). These changes have raised new conceptions of destinations, thus giving rise to smart destinations. In this context, digital tracking of tourists has become of great interest. This article aims to analyze the research landscape on tourist tracking through a bibliometric study, which allows the evaluation of the performance of publications, recognition of the prominent SciVal topics, analysis of the evolution of the techniques, and recognition of their use as a tool that contributes to the development of smart destinations. Unlike prior studies in this area, in addition to the performance analysis of publications, this paper focuses only on empirical studies on tourist tracking, identifies the prominent SciVal topics, and analyzes the linkage thereof with the Sustainable Development Goals (SDGs). The bibliometric study was carried out based on articles on tourist tracking extracted from the Scopus database and published between 2007 and 2023. This research is mainly quantitative, based on research performance analysis (journals, authors, institutions, and countries) and science mapping (citation analysis, co-word analysis, co-authorship analysis). Results show the quality of the publications made in the 2007–2023 period and indicate that the most used techniques have been GPS devices, social media, and app-based GPS/GNSS. In addition, it was found that the evolution of the techniques occurred at the same time as the development of ICT and that the prominent SciVal topic that covers the largest number of publications is associated with destination management. It is concluded that the application of tourist tracking techniques contributes to the transformation of destinations into smart destinations, as they provide useful relevant information to tourism market stakeholders for the development of strategies that improve decision-making and allow for the sustainable management of destinations. Full article

In the evolving landscape of the building sector, the digital sphere is reshaping consumer engagement and purchase behaviors, especially in the sustainability-focused niche of fitness facilities. Utilizing the theory of planned behavior (TPB) and elaboration likelihood model (ELM), this study examines the impact of social media influence (SMI) on purchasing intentions for sustainable fitness services (PISFS) through the mediating role of green building consumption perceptions (GBCPs) and the moderating effect of environmental awareness (EA). To examine the proposed relationships and achieve the objectives of the study, 672 valid responses were collected from professionals and customers in fitness services in Turkey and analyzed using Smart PLS 4. The results of the data analysis revealed that SMI positively impacts PISFS, SMI positively impacts GBCP, GBCP positively impacts PISFS, GBCP plays an effective mediation role between SMI and PISFS, the influence of social media on purchasing intentions for sustainable fitness services is further enhanced at high levels of environmental awareness, and the impact of social media on green building consumption perceptions is further strengthened at higher levels of environmental awareness. This study’s insights call for the building sector, particularly in sustainable fitness facilities, to actively integrate social media strategies and environmental awareness into their marketing and design. Emphasizing green building attributes on digital platforms can significantly influence consumer choices, steering the industry toward a more environmentally conscious and digitally engaged future. Full article

With the rise of individualism as a social trend and the wide use of the Internet and social media, today’s customers increasingly want to design and build unique products that fit their individual preferences and needs. Mass individualization is defined as a manufacturing paradigm that aims to produce individualized products cost-effectively. This paradigm differs from the previous paradigms in which the manufacturing company designed and manufactured the products, and the customer chose a product. In the mass individualization paradigm, the customers will be actively involved in product design, and the manufacturer will produce a unique product for each customer at a reasonable cost and of reliable quality. Due to the need for smooth communication and interactions between the buyer and the factory, new factories for individualized products will be located near potential buyers, which will have a significant impact on local economies. This entry explores the relationship between mass individualization and other emerging manufacturing paradigms and concepts in the Industry 4.0/5.0 era, and discusses how smart factories can improve manufacturing efficiency and facilitate the realization of the mass individualization paradigm. Full article

The continuous and irresponsible addition of environmental pollutants into aqueous reservoirs due to excessive industrialization is a significant contemporary challenge. Nanomaterial-based catalytic reduction provides an effective way to convert these materials into environmentally useful products. Responsive polymeric assemblies, complemented with nanomaterials, represent advanced nanocatalysts that are gaining interest within the scientific community. These assemblies exhibit reversible morphological transitions in response to variations induced by external factors such as temperature, pH, or electromagnetic irradiation treatment. The term hybrid microgels has been coined for assemblies that contain both nanomaterial and smart polymeric components. This review presents recent advancements in the field of hybrid microgels as nanocatalysts for conducting reduction reactions on pollutants present in aqueous media. Apart from placing detailed emphasis on the advancements documented for these assemblies, the fundamentals associated with hybrid microgels, as well as the typical catalytic reduction, are also emphasized to develop an understanding for new academicians looking to explore this field. The author hopes that this critical review of the most recent academic literature, including the years spanning 2020 to 2023, will serve as a tutorial for the identification of research gaps in this field, along with its prospective solutions. Full article

In the context of green, low-carbon, and sustainable construction, the safety management of smart construction sites has been a key issue. Current related research mainly focuses on the application of technology, but lacks methods to evaluate the safety management level. Therefore, this research aims to construct a smart construction site safety management evaluation model from a resilience perspective. First, this research identified and screened the indicators initially based on the 4R resilience characteristics and 4M theory by analyzing the policy texts of smart construction site safety management. Then, through expert consultation, the ISM model of resilience indicators was established to determine the evaluation indicator system of smart construction site safety management. Next, the weight of each indicator was determined with the help of the analytic network process, and the evaluation criteria of the indicators were formulated according to the existing specifications and expert interviews; then, the evaluation model of smart construction site safety management was established. Finally, the feasibility of the model was proved through a case study. The findings of the research show that in terms of weights, management has the highest score, followed by media, man, and machine. However, more resilience measures are used for the safety management of machine than the other three in policy texts. Obviously, there is a deviation between weights and resilience characteristics. These findings help reveal the current situation of safety management at smart construction sites, which is of great significance for improving resilience. The findings also help smart construction sites to realize the upgrading of safety, efficiency, and greenness, and promote the sustainable development of smart construction sites as well as the construction industry. Full article

This study aims to predict the characteristics of the exercise healthcare industry in the post-pandemic era by comparing the periods before and after the coronavirus disease 2019 outbreak through big data analysis. TEXTOM, the Korean big data collection and analysis solution, was used for data collection. The pre-pandemic period was defined as 1 January 2018–31 December 2019 and the pandemic period as 1 January 2020–31 December 2021. The keywords for data collection were “exercise + healthcare + industry”. Text mining and social network analysis were conducted to determine the overall characteristics of the Korean exercise healthcare industry. We identified 30 terms that appeared most frequently on social media. Four common (smart management, future technology, fitness, and research) and six different clusters (sports education, exercise leader, rehabilitation, services, business, and COVID-19) were obtained for the pre-pandemic and pandemic periods. Smart management, future technology, fitness, and research are still important values across both periods. The results provide meaningful data and offer valuable insights to explore the changing trends in exercise healthcare. Full article

For the next coming years, metaverse, digital twin and autonomous vehicle applications are the leading technologies for many complex applications hitherto inaccessible such as health and life sciences, smart home, smart agriculture, smart city, smart car and logistics, Industry 4.0, entertainment (video game) and social media applications, due to recent tremendous developments in process modeling, supercomputing, cloud data analytics (deep learning, etc.), communication network and AIoT/IIoT/IoT technologies. AIoT/IIoT/IoT is a crucial research field because it provides the essential data to fuel metaverse, digital twin, real-time Industry 4.0 and autonomous vehicle applications. However, the science of AIoT is inherently multidisciplinary, and therefore, it is difficult for readers to understand its evolution and impacts. Our main contribution in this article is to analyze and highlight the trends and challenges of the AIoT technology ecosystem including core hardware (MCU, MEMS/NEMS sensors and wireless access medium), core software (operating system and protocol communication stack) and middleware (deep learning on a microcontroller: TinyML). Two low-powered AI technologies emerge: TinyML and neuromorphic computing, but only one AIoT/IIoT/IoT device implementation using TinyML dedicated to strawberry disease detection as a case study. So far, despite the very rapid progress of AIoT/IIoT/IoT technologies, several challenges remain to be overcome such as safety, security, latency, interoperability and reliability of sensor data, which are essential characteristics to meet the requirements of metaverse, digital twin, autonomous vehicle and Industry 4.0. applications. Full article

Consumer behavior is an important area for the tourism sector that needs to be continuously explored. Tourism is a sensitive sector influenced by several factors, like pandemics, government intervention, international cooperation, etc. The tourist industry is rapidly expanding, influenced by social media and digital marketing, which act as influencers. The current study investigates the association between travel website quality and customer satisfaction to lead to purchase intention. The research undertook a statistical path analysis of feedback from 500 frequent flyers, who use travel websites for international travel. SmartPLS 4.0 was applied to prepare a structural equation model by partial least squares. The study indicates that the caliber of travel websites is linked to customers’ satisfaction, which, in turn, impacts their intention to make a purchase. Full article