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Technological innovations provide huge opportunities to expand and revolutionize the scope of products and services offered. This is particularly true for tourism, which is undergoing significant changes due to the development of new technologies. The level of technology diffusion depends on several factors like the exchange of information among peers, and the attitude and shared perception among the contributors. The aim of the study is to explore the diffusion of technology in tourism with a specific focus on the social media discourse around new technologies. Thus, the paper investigates the level of interest in these new technologies analysing the information exchange occurring between individuals on Twitter in order to explore the influence of reciprocal networking.

To capture the attitudes expressed in the industry, the study analyses the ongoing discourse on Twitter as a proxy for the participants “interest in new technologies. Through a social network analysis of the tweets and retweets conducted over a period of nine months, the research maps the level of information exchange about the diffusion of new technologies. Moreover, the sentiment analysis provides an interesting overview of the individuals” attitudes towards the awareness or the adoption of new technologies.

Our analysis has provided several insights: (1) the information network on blockchain in tourism consists of participants who change very quickly over time (high turnover of accounts); (2) some contributors have an extremely important role in influencing the flow of information in the system (information centralization), they can have a generalist (discussing several topics) or a specialist (focusing on a specific topic) behaviour and this strategic choice influences their network's structure; (3) these central nodes also have an impact on the definition of positive and negative sentiment towards a topic (sentiment influencer).

The paper contributes to the literature on technology diffusion, by focusing on one of the preconditions of diffusion that is the shared positive attitude towards technological innovation. More specifically, we adopt a network-based approach, which is useful to explain the level of information exchange and the public discourse that can impact the shared perception and attitude towards technological innovation. The study also highlights the role of knowledge brokers in influencing this public discourse. Future studies can deepen the association between positive perception, higher levels of information exchange and increasing usage of specific technologies. Our results also suggest further exploring the opportunity to combine social media data and other sources of information to shed more light on the technological innovation diffusion processes.

This paper shows how practitioners can benefit from the analysis of information exchange about new technologies in tourism adopting a network perspective with the aim of understanding the level of influence among contributors. Moreover, the increasing interest in blockchain technology and the potential combination between social media data and other sources of information can offer promising insights.

The present study explores the level of technology diffusion through the analysis of information exchange on social media (Twitter). Furthermore, the dynamics of individual user behaviour offers a better understanding about media effects.

While previous research is focused on the users' perception towards the development of new technologies in tourism, the aim of this study is to investigate the dynamics behind the level of diffusion of information and awareness about these new technologies, which still represents an unexplored area of research.

This paper aims to explain the unwillingness to exchange export knowledge by members of exporters’ networks and provides potential solutions to this problem.

This study uses data from a survey of 301 members of a French exporter’s network to test a set of hypotheses with partial least squares structural equation modeling.

Network participants’ export experience and age have a negative influence on their willingness to exchange knowledge. However, positive attitudes toward the network (perception of network quality, commitment) can mitigate those negative links.

Network members’ unwillingness to exchange knowledge represents a major challenge that threatens the existence of knowledge networks. The findings suggest solutions to this issue for network managers.

This study views knowledge exchange in a network as a risky behavior. It explains why members do not participate in networks. The model shows how contrary forces work and interact to deter or foster knowledge exchange.

Be that as it may, BC is computationally costly, has restricted versatility and brings about critical transmission capacity upward and postpones, those seems not to be fit with Internet of Things (IoT) setting. A lightweight scalable blockchain (LSB) which is improved toward IoT necessities is suggested by the authors and investigates LSB within brilliant house setup like an agent model to enable more extensive IoT apps. Less asset gadgets inside brilliant house advantage via any unified chief which lays out common units for correspondence also cycles generally approaching and active solicitations.

Federated learning and blockchain (BC) have drawn in huge consideration due to the unchanging property and the relevant safety measure and protection benefits. FL and IoT safety measures’ difficulties can be conquered possibly by BC.

LSB accomplishes fragmentation through shaping any overlaid web with more asset gadgets mutually deal with a public BC and federated learning which assures complete protection also security.

This overlaid is coordinated as without error bunches and reduces extra efforts, also batch leader will be with answer to handle commonly known BCs. LSB joins some of advancements which also includes computations related to lesser weighing agreement, optimal belief also throughput regulatory body.

Psychological ownership has been a topic of intense debate for several decades, especially in the digital era. In addition, as part of the digital public domain, virtual communities shape our digital lives. Unfortunately, few studies have examined the communication process in virtual communities from the perspective of psychological ownership. Moreover, information and organization are key aspects of virtual communities. This research aimed to explore the impact of psychological ownership on communication satisfaction from these two perspectives.

I collected 471 responses using a questionnaire. In terms of empirical methods, I developed a structural equation model (SEM) to examine the relationship between psychological ownership and communication satisfaction as well as the mechanism underlying this relationship – namely, information behavior. Specifically, I first examined the relationship between psychological ownership and information behavior. I then developed a comprehensive framework for the double-edged impact of psychological ownership in virtual communities on communication satisfaction.

I found that psychological ownership has a double-edged effect on communication satisfaction based on two types of information behavior in virtual communities. Specifically, organization-based psychological ownership (OPO) positively influences communication satisfaction through information exchange. In contrast, information-based psychological ownership (IPO) negatively impacts communication satisfaction through information-hiding.

The findings of this research demonstrate that psychological ownership has a double-edged effect on communication satisfaction. First, the findings of this study reveal the downsides of psychological ownership, which are not consistent with its beneficial role. Second, the negative effect of psychological ownership with regard to communication in virtual communities also helps explain communication failure in virtual communities. Finally, despite the downsides of psychological ownership in the context of a virtual community revealed by this study, this factor has an overall beneficial effect.

Through the study of visualizations, virtual worlds and information exchange, the purpose of this paper is to reveal the complex connections between technology and the work of design and construction. The authors apply the sociotechnical view of technology and the ramifications this view has on successful use of technology in design and construction.

This is a discussion paper reviewing over a decade of research that connects three streams of research on architecture, engineering and construction (AEC) teams as these teams grappled with adapting work practices to new technologies and the opportunities these technologies promised.

From studies of design and construction practices with building information modeling and energy modeling, the authors show that given the constructed nature of models and the loose coupling of project teams, these team organizational practices need to mirror the modeling requirements. Second, looking at distributed teams, whose interaction is mediated by technology, the authors argue that virtual world visualizations enhance discovery, while distributed AEC teams also need more traditional forms of 2D abstraction, sketching and gestures to support integrated design dialogue. Finally, in information exchange research, the authors found that models and data have their own logic and structure and, as such, require creativity and ingenuity to exchange data across systems. Taken together, these streams of research suggest that process innovation is brought about by people developing new practices.

In this paper, the authors argue that technology alone does not change practice. People who modify practices with and through technology create process innovation.

The efficient application of building information modeling (BIM) methodology in the sustainable building design process, known as green BIM, provides ideal leverage to significantly enhance multidiscipline team collaboration. However, the practical execution of green BIM is characterized by issues such as duplication of work, information silos and poor cross-party coordination. Besides, there are limited studies on the specific components that are critical to driving green BIM collaborative design. This study aims to establish the critical components of green BIM collaborative design to enable the multidiscipline team to effectively use diverse software to collaboratively exchange accurate information, thus ensuring informed decision-making in the sustainable building design process.

Data were obtained by using a questionnaire to survey 360 respondents comprising mainly architects and engineers (civil, mechanical and electrical) in Malaysia. Subsequently, data were analyzed via confirmatory factor analysis. Afterward, a measurement model was established and used to test the 11 hypotheses of this study.

A covariance-based structural equation model of the critical components for successful BIM-based sustainable building design collaboration was established.

The research findings will guide the multidisciplinary team to collaboratively exchange accurate information in green BIM practices.

To the best of the authors’ knowledge, this research is the first attempt in the literature to provide a pragmatic approach for practitioners to combine the established critical components of green BIM to collaboratively exchange heterogeneous sustainability criteria and efficiently design buildings with high sustainability performance, particularly in emerging countries like Malaysia.

The purpose of this study is to explore the impact of online reviews on answer adoption in virtual Q&A communities, with an eye toward extending knowledge exchange and community management.

Online reviews contain rich cognitive and emotional information about community members regarding the provided answers. As feedback information on answers, it is crucial to explore how online reviews affect answer adoption. Based on signaling theory, a research model reflecting the influence of online reviews on answer adoption is established and empirically examined by using secondary data with 69,597 Q&A data and user data collected from Zhihu. Meanwhile, the moderating effects of the informational and emotional consistency of reviews and answers are examined.

The negative binomial regression results show that both answer-related signals (informational support and emotional support) and answerers-related signals (answerers’ reputations and expertise) positively impact answer adoption. The informational consistency of reviews and answers negatively moderates the relationships among information support, emotional support and answer adoption but positively moderates the effect of answerers’ expertise on answer adoption. Furthermore, the emotional consistency of reviews and answers positively moderates the effect of information support and answerers’ reputations on answer adoption.

Although previous studies have investigated the impacts of answer content, answer source credibility and personal characteristics of knowledge seekers on answer adoption in virtual Q&A communities, few have examined the impact of online reviews on answer adoption. This study explores the impacts of informational and emotional feedback in online reviews on answer adoption from a signaling theory perspective. The results not only provide unique ideas for community managers to optimize community design and operation but also inspire community users to provide or utilize knowledge, thereby reducing knowledge search costs and improving knowledge exchange efficiency.

Innovativeness is crucial for industrial cluster firms to gain sustained competitive advantage. This study aims to investigate the effects of inter-firm coopetition on firm innovativeness within a cluster and examines the moderating role of institutional support.

This research adopts an empirical survey method using multi-source data from 181 industrial cluster firms. Regression is used to test the hypotheses of this study.

The results show that cooperation and constructive conflict promote firm innovativeness, while destructive conflict is detrimental to firm innovativeness. Moreover, the study also finds that cooperation interacts with both types of conflict to affect firm innovativeness, where cooperation and constructive conflict interact negatively on firm innovativeness, while cooperation and destructive conflict interact positively on firm innovativeness. In addition, institutional support weakens the effects of cooperation and destructive conflict on innovativeness, respectively, but has no significant moderating effect on the relationship between constructive conflict and innovativeness.

These findings enrich the current research on coopetition. The interaction effects of cooperation and both types of conflict on innovativeness deepen the concept of coopetition and responds to the call to further explore the interaction effects within coopetition. The moderating role of institutional support fills a gap in the empirical research on the role of institutional factors affecting coopetition on innovation and also provides valuable suggestions for firm managers and governments in industrial clusters.

Understanding which market to invest in for a well-diversified portfolio is fundamental in economies that are highly vulnerable to fluctuations in exchange rates. Extant literature that has considered phenomenon hardly juxtapose the markets. The purpose of this study is to examine the effects of exchange rate volatility on the Stock and Real Estate market of South Africa. The essence is to determine whether the fluctuations in the exchange rate influence the markets prices differently.

The Generalised Autoregressive Conditional Heteroskedasticity [GARCH (1.1)] model was used in establishing the effect of exchange rate volatility on both markets. This study used monthly South African data between 2000 and 2020.

The results of this study showed that increased exchange rate volatility increases stock market volatility but decreases real-estate market volatility, both of which revealed weak influences from the exchange rates volatility.

This study has implication for policy in using the exchange rate as a policy tool to attract foreign portfolio investment. The weak volatility transmission from the exchange rate market to the stock and real estate market indicates that there is prospect for foreign investors to diversify their investments in these two markets.

This study investigated which of the assets market, stock or housing market do better in volatile exchange rate conditions in South Africa.

This study analyzes whether farmers' incomes increase as they participate in online groups.

The study analyzed interview data from 673 farming households in three mountainous provinces of northern Vietnam, utilizing the propensity score matching (PSM) method.

The empirical results reveal that farmers participating in online groups, particularly those engaged in 1–3 groups, experience an increase in their income attributed to the three advantages of sharing-accessing-saving (SAS) information. Farming households engaged in online groups earn higher incomes, ranging from equivalent to 25.78 to 26.96 USD, in comparison to those who do not participate. Notably, farmers participating in 1–3 online groups outpace their counterparts in 4–5 groups in terms of income.

This study exclusively focuses on examining farmers' total income derived from all their agricultural activities and does not quantify the specific impact of online group participation on the income generated by each product. Furthermore, it is important to note that the PSM method has the potential to introduce bias due to unobserved factors, such as social networks and local culture. Consequently, future research should prioritize the segmentation of income from individual agricultural products, distinct from the overall income, to gain a more nuanced understanding of each product’s sensitivity to information exchanged in online groups. Simultaneously, accounting for unobserved factors is crucial to obtain unbiased estimates.

This study represents the inaugural exploration into the comparison of farmers' incomes within a novel context – participation in digital-based groups. Furthermore, it extends the inquiry by delving into the correlation between the number of online groups joined and farmers' income. The empirical findings indicate that farmers may benefit the most by limiting their participation to a select few groups that align with their information needs and analytical abilities.