Xianke Sun, Gaoliang Wang, Liuyang Xu and Honglei Yuan
In data grids, replication has been regarded as a crucial optimization strategy. Computing tasks are performed on IoT gateways at the cloud edges to obtain a prompt response. So…
Abstract
Purpose
In data grids, replication has been regarded as a crucial optimization strategy. Computing tasks are performed on IoT gateways at the cloud edges to obtain a prompt response. So, investigating the data replication mechanisms in the IoT is necessary. Henceforth, a systematic survey of data replication strategies in IoT techniques is presented in this paper, and some suggestions are offered for the upcoming works. In two key classifications, various parameters dependent on the analysis of the prevalent approaches are considered. The pros and cons associated with chosen strategies have been explored, and the essential problems of them have been presented to boost the future of more effective data replication strategies. We have also discovered gaps in papers and provided solutions for them.
Design/methodology/approach
Progress in Information Technology (IT) growth has brought the Internet of Things (IoT) into life to take a vital role in our everyday lifestyles. Big IoT-generated data brings tremendous data processing challenges. One of the most challenging problems is data replication to improve fault-tolerance, reliability, and accessibility. In this way, if the primary data source fails, a replica can be swapped in immediately. There is a significant influence on the IoT created by data replication techniques, but no extensive and systematic research exists in this area. There is still no systematic and full way to address the relevant methods and evaluate them. Hence, in the present investigation, a literature review is indicated on the IoT-based data replication from papers published until 2021. Based on the given guidelines, chosen papers are reviewed. After establishing exclusion and inclusion criteria, an independent systematic search in Google Scholar, ACM, Scopus, Eric, Science Direct, Springer link, Emerald, Global ProQuest, and IEEE for relevant studies has been performed, and 21(6 paper analyzed in section 1 and 15 paper analyzed in section 3) papers have been analyzed.
Findings
The results showed that data replication mechanisms in the IoT algorithms outperform other algorithms regarding impressive network utilization, job implementation time, hit ratio, total replication number, and the portion of utilized storage in percentage. Although a few ideas have been suggested that fix different facets of IoT data management, we predict that there is still space for development and more study. Thus, in order to design innovative and more effective methods for future IoT-based structures, we explored open research directions in the domain of efficient data processing.
Research limitations/implications
The present investigation encountered some drawbacks. First of all, only certain papers published in English were included. It is evident that some papers exist on data replication processes in the IoT written in other languages, but they were not included in our research. Next, the current report has only analyzed the mined based on data replication processes and IoT keyword discovery. The methods for data replication in the IoT would not be printed with keywords specified. In this review, the papers presented in national conferences and journals are neglected. In order to achieve the highest ability, this analysis contains papers from major global academic journals.
Practical implications
To appreciate the significance and accuracy of the data often produced by different entities, the article illustrates that data provenance is essential. The results contribute to providing strong suggestions for future IoT studies. To be able to view the data, administrators have to modify novel abilities. The current analysis will deal with the speed of publications and suggest the findings of research and experience as a future path for IoT data replication decision-makers.
Social implications
In general, the rise in the knowledge degree of scientists, academics, and managers will enhance administrators' positive and consciously behavioral actions in handling IoT environments. We anticipate that the consequences of the present report could lead investigators to produce more efficient data replication methods in IoT regarding the data type and data volume.
Originality/value
This report provides a detailed literature review on data replication strategies relying on IoT. The lack of such papers increases the importance of this paper. Utilizing the responses to the study queries, data replication's primary purpose, current problems, study concepts, and processes in IoT are summarized exclusively. This approach will allow investigators to establish a more reliable IoT technique for data replication in the future. To the best of our understanding, our research is the first to provide a thorough overview and evaluation of the current solutions by categorizing them into static/dynamic replication and distributed replication subcategories. By outlining possible future study paths, we conclude the article.
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Hyejo Hailey Shin, Miyoung Jeong, Natalia Zapata-Cuervo, Maricela Isabel Montes Guerra, Mi-Hea Cho and Yensoon Kim
This study aims to investigate how customers’ perceived risks of sharing economy (SE) affect their self-protective behaviors when using SE, leading to their future behavioral…
Abstract
Purpose
This study aims to investigate how customers’ perceived risks of sharing economy (SE) affect their self-protective behaviors when using SE, leading to their future behavioral intention. Additionally, this study looks into whether there are any differences between accommodation-sharing and ride-sharing customers in the aforementioned relationships.
Design/methodology/approach
An online survey targeting two groups of SE customers (i.e. accommodation sharing and ride sharing) was used. Using partial least squares structural equation modeling, the mechanism of how SE customers’ perceived risks of SE affect their self-protective behaviors, which in turn influence their future behavior intention. A multigroup analysis was performed to assess the difference between the two groups of SE customers. Finally, a multivariate analysis of variance (MANOVA) was conducted to see the potential differences between the five classifications of self-protective behaviors in their perceived risks.
Findings
SE customers’ psychological risks positively affected their hygiene protective behaviors and social protective behaviors, influencing their behavior intention and relative intention (compared with traditional services). Social risk had a negative impact on SE customers’ hygiene protective behaviors. There was a significant difference between accommodation sharing and ride sharing customers in their psychological mechanism of how perceived risks influence their self-protective behaviors.
Practical implications
The findings of this study help SE platforms and service providers better understand their customers’ perceived risks of their services and suggest them to promote their customers’ self-protective behaviors so that perceived risks can be mitigated, thereby generating strong behavior intentions. As the results indicated that there is a significant difference between the two major forms of SE (i.e. accommodation sharing and ride sharing) in their customers’ perceived risks and self-protective behavior, SE platforms can further refine their operational and marketing efforts based on the findings.
Originality/value
This study offers a comprehensive understanding of SE customers’ self-protective behaviors by examining the effects of SE customers’ different perceived risks on their self-protective behaviors during the unprecedented pandemic. Furthermore, the comparison of the two most popular forms of SE (i.e. accommodation sharing and ride sharing) provides new perspectives to understand customers’ behavior in the SE context.
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Zhiyong Li, Jiahui Huang, Songshan (Sam) Huang and Dan Huang
This study aims to understand Chinese consumers’ perceived barriers to using peer-to-peer (P2P) accommodation before and after the outbreak of COVID-19 and the negotiation…
Abstract
Purpose
This study aims to understand Chinese consumers’ perceived barriers to using peer-to-peer (P2P) accommodation before and after the outbreak of COVID-19 and the negotiation strategies they applied in overcoming the barriers and enabling consumption.
Design/methodology/approach
A qualitative research design with 28 semi-structured interviews was used. Data were analysed by content analysis.
Findings
Five psychological barriers and four functional barriers were found to inhibit consumers from using P2P accommodation both before and after the COVID-19 outbreak. In overcoming the perceived barriers, consumers applied both behavioural negotiation strategies, including seeking information, behavioural adaptation, selective choice and seeking social support, and cognitive negotiation strategies, including cognitive adaptation and trusting agents. COVID-19 was found to serve as both a barrier and a facilitator for using P2P accommodation. A barriers–negotiation framework was developed in the context.
Research limitations/implications
Theoretically, this study advances consumer resistance and perceived barriers literature by integrating negotiation and developing a barriers–negotiation framework of P2P accommodation usage. This study also offers insights for practitioners in the P2P accommodation industry.
Originality/value
This study showcases the role of negotiation in understanding barriers to using P2P accommodation, paving the way to extend relevant knowledge to advance consumer resistance research, which is an emerging topic in the broader management domain.
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Yanping Guo, Bingqing Xiong, Yongqiang Sun, Eric Tze Kuan Lim and Chee-Wee Tan
Peer-to-Peer Accommodation Service (P2PAS) has emerged as a novel paradigm that enables consumers to book temporary accommodation through P2PAS platforms (online transaction), and…
Abstract
Purpose
Peer-to-Peer Accommodation Service (P2PAS) has emerged as a novel paradigm that enables consumers to book temporary accommodation through P2PAS platforms (online transaction), and then reside in hosts' rooms (offline consumption). Due to potential variance in performance and conflict of interest between hosts and platforms, consumers may differ in their trust perceptions of the two parties, which in turn affects consumers' continuous usage of P2PAS. To this end, the authors endeavor to unravel the effect of consumers' trust incongruence on continuance intention, and to further elucidate the moderating influence of transaction and consumption risks on this relationship. This paper aims to discuss the aforementioned objectives.
Design/methodology/approach
This study collected data through an online survey of 408 P2PAS consumers. Polynomial modeling and response surface analysis were conducted to validate the hypothesized relationships.
Findings
Response surface analysis reveals that trust incongruence did not significantly affect consumers' continuance intention. However, continuance intention would be greater when TP was higher than TH compared with when TH was higher than TP. Furthermore, the analytical results suggest that trust incongruence exerts greater negative effect on continuance intention when transaction and consumption risks were high.
Originality/value
First, the study marks a paradigm shift in conceptualizing the incongruence between TP and TH as a determinant of consumers' continuance intention toward P2PAS. Second, the authors derive a typology of risks that is contextualized to P2PAS. Finally, the authors establish transaction and consumption risks as boundary conditions influencing the effects of trust incongruence on consumers' continuance intention toward P2PAS.
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Applying the value creation of corporate social responsibility (CSR), this study aims to investigate the direct effect of preventive measures in the postpandemic world on Airbnb…
Abstract
Purpose
Applying the value creation of corporate social responsibility (CSR), this study aims to investigate the direct effect of preventive measures in the postpandemic world on Airbnb consumers’ attitudes toward the host, which may further impact their behavioral intentions. It also examined the mediating role of perceived risk and perceived motives, as well as the moderating role of message strategies and risk tolerance in this process.
Design/methodology/approach
A 2 (preventive measures: basic versus enhanced) × 2 (message strategies: promotional social cause message [PSC] versus partake-in-our-cause message [PIOC]) between-subjects factorial design was conducted with a sample of 476 US Airbnb consumers through an online survey. PROCESS macro was used for hypothesis testing.
Findings
Results demonstrated that enhanced preventive measures had more positive impact on Airbnb consumers’ attitudes toward the host, which was positively related to positive word of mouth and booking intention. Perceived risk and perceived motives mediated the relationship between preventive measures and attitude toward Airbnb hosts. Positive relationships between attitude toward the host and behavioral intentions were strengthened when PIOC was used than PSC. The negative relationship between preventive measures and perceived risk was enhanced when PIOC was used than PSC. Risk tolerance did not interact with messages strategy to impact the relationship between preventive measures and perceived risk.
Originality/value
The study uncovered the mechanisms by which consumers form their responses toward different safety information of Airbnb accommodations postpandemic and the role of message strategies in the process. It provided implications for the Airbnb platform and hosts in the postpandemic period.
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Jorge Julião, Marcelo Gaspar, Luis Farinha and Maria A.M. Trindade
The aim of the paper is to assist hospitality business, operating in a sharing economy model and responding to coronavirus disease-2019 (COVID-19) crisis. It is argued that the…
Abstract
Purpose
The aim of the paper is to assist hospitality business, operating in a sharing economy model and responding to coronavirus disease-2019 (COVID-19) crisis. It is argued that the creation of a strategy to face COVID-19 crisis should be focussed on what the guests valued most. The paper focusses on the Airbnb service, which is the leading platform in accommodation inside the sharing economy, to explore the consumer profile and analyse its motivations to use hospitality service, based on socio-demographic characteristics and user experience.
Design/methodology/approach
The research uses a questionnaire survey targeting tourists who have experience using the Airbnb service. A total of 380 valid responses were analysed with statistical package programme for the social sciences (SPSS), performing a multivariate variance analyses (MANOVA) and univariate analysis (UNIANOVA), which corresponds to five of the main motivations regarding Airbnb booking.
Findings
The results show a motivation increase towards the sharing economy and benefits of the sharing economy for customers between 41 and 60 years of age. It was also observed that consumers with a monthly income below the average salary level are less keen to prefer the sharing economy philosophy. Controversially, the results also show that more than 80% of the guests do not want to share the room with people they are not related to.
Originality/value
The paper contributes to the understanding of consumers' behaviour by discussing the potential of the accommodation sharing model for the post-COVID recovery of the hospitality sector.
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Honglei Liu, Chang Suk Choi and Kyung Hoon Kim
This study discusses the sources of value co-creation and its effects on businesses using social platforms such as Facebook, Instagram, Twitter and blogs.
Abstract
Purpose
This study discusses the sources of value co-creation and its effects on businesses using social platforms such as Facebook, Instagram, Twitter and blogs.
Design/methodology/approach
A total of 301 survey responses were selected. The selected respondents indicated that they lived in South Korea, had an occupation as a private business or marketer and had used a social platform one or more times a day. The hypotheses were tested using a structural equation model.
Findings
The study reveals that the source of sustainable value co-creation between social platforms and businesses positively affects the competitive advantage of maintaining businesses. This advantage reveals an integrated relationship that leads to the successful financial performance of businesses through online word of mouth and customer satisfaction. Moreover, this study finds that the relationship between variables differs by social platform types (unidirectional vs bidirectional service).
Research limitations/implications
The results of this study explain the relationship between value co-production, value-in-use, SCA and long-term performance. However, this study focused on private business and marketing staff working in companies in South Korea. Accordingly, more countries in which social platforms are widely utilized should be taken into account to help generalize the empirical findings.
Practical implications
There is a difference in the relationship between co-creation activity and cost advantage/long-term performance in accordance with the service type of a social platform. The results indicate that a bidirectional service is a more powerful tool for cost advantage and long-term performance.
Originality/value
This study focuses on the role of value co-creation in social platforms to ensure companies’ sustainable competitive advantage and performance. The results of this study will help companies develop online marketing strategies using social platforms.
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Meng Wang, Yuwen Hua, Honglei Lia Sun and Ya Chen
The user churn (UC) of rural public digital cultural services (RPDCS) indicates that rural users no longer use RPDCS or have switched to other services. The purpose of this study…
Abstract
Purpose
The user churn (UC) of rural public digital cultural services (RPDCS) indicates that rural users no longer use RPDCS or have switched to other services. The purpose of this study is to investigate the factors influencing RPDCS's UC and to contribute toward bridging the rural digital divide.
Design/methodology/approach
Based on the stimulus-organism-response theory, this study proposes a theoretical framework to investigate the factors influencing RPDCS's user churn. A total of 120 RPDCS users were initially recruited and 90 representative participants were chosen. Data were collected from the 90 respondents and 20 follow-up interviews. To examine the proposed framework and validate the correlations between these factors and UC, an analysis of variance (ANOVA) and multiple regression analysis were used. In addition, recommendations are made to avoid the UC of RPDCS to bridge the rural digital divide.
Findings
The results indicate that the UC of RPDCS was stimulated by both physical and ability divides and RPDCS ineffectiveness, resulting in increased churn rates and an exacerbated digital divide. Thus, avoiding the UC of RPDCS is an important way to bridge the rural digital divide, which includes both the physical and ability divides.
Originality/value
This study adds new knowledge about RPDCS and distinguishes it from previous research on public digital cultural services. In addition, the authors discuss how to avoid the UC of RPDCS, to bridge the rural digital divide.
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Yanbo Zhu, Xiaohong Chen, Ping Liu, Shaoli Fu, Honglei Zhou and Jiayan Wu
This study aims to investigate the effect of changes in iron content in 70/30 copper–nickel alloy on the corrosion process.
Abstract
Purpose
This study aims to investigate the effect of changes in iron content in 70/30 copper–nickel alloy on the corrosion process.
Design/methodology/approach
70Copper–30Nickel-xFe-1Mn (x = 0.4,0.6,0.8,1.0 Wt.%) alloy were prepared by the high frequency induction melting furnace. The scanning electron microscope, X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS) and electrochemical impedance spectroscopy were used to analyze the morphology and component of the corrosion product film.
Findings
The results show that the corrosion resistance of 70/30 copper–nickel alloy added with 1.0%Fe is the best, and the film is divided into inner dense Cu2O composite film and outer hydration loose layer; XRD showed that after adding 1.0% Fe, the content of Cu2(OH)3Cl in the corrosion product film was significantly reduced, while the content of Cu2O remained unchanged; XPS showed that nickel accumulates in the inner layer of corrosion product film; the stage growth mode of the film, the role of nickel in it and the enrichment mechanism of iron in the inner film were summarized and discussed.
Originality/value
The changes in the composition and structure of the corrosion product film caused by the iron content are revealed, and the mechanism of the difference in corrosion resistance is discussed.
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Traditional algorithms require at least two complete vector observations to estimate orientation parameters. However, sensor faults and disturbances may cause some components of…
Abstract
Purpose
Traditional algorithms require at least two complete vector observations to estimate orientation parameters. However, sensor faults and disturbances may cause some components of vector observations unavailable. This paper aims to propose algorithms to realize orientation estimation using vector observations with one or two components lost.
Design/methodology/approach
The fundamental of the proposed method is using norm equation and dot product equation to estimate the lost components, then, using an improved TRIAD to calculate attitude matrix. Specific algorithms for one and two lost components cases are constructed respectively, and the nonuniqueness of orientation estimation is analyzed from a geometric point of view. At last, experiments are performed to test the proposed algorithms.
Findings
The loss of components results in the loss of orientation information. The introduction of the norm equation and dot product equation can partially compensate for the loss of information. Experiment results and analysis show that the proposed algorithms can provide effective orientation estimation, and in vast majority of applications, the proposed algorithms can provide a unique solution in one lost component case and double solutions in two lost components case.
Originality/value
The proposed method addresses the problem of orientation estimation when one or two components of vector observations are unavailable. The introduction of the norm equation and dot product equation makes the calculation cost low, while the analyses from a geometric point of view makes the study of nonuniqueness more intuitive.