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This chapter aims to qualify Local Area as Smart Tourism Local Service Systems (S-TLSS), whose competitiveness and reputation depend on sharing strategies and processes of cohesion based on equifinality among/for stakeholder. The methodology envisages the integration of Service Science Management Engineering and Design (SSME+D) and the Viable Systems Approach (VSA). Thus it describes a S-TLSS in terms of local service system, whose viability requires a ‘smart governmentality’, able to guarantee the management of equity, sustainability and resilience. Referring to human resources coherent with value co-creation processes, S-TLSS implies T-shaped professionals: new kind of individuals who have proficiency in a specific field/discipline (deep professionality) and, at the same time, show capacity to understand and participate in complex projects/systems (broad professionality). Finally, the authors will show a practical application of the system attempting to enhance an Italian territory that is not very attractive to tourists and local residents.

The growth in cryptomarkets has reinvigorated the research on illicit drug distribution due to the availability of large-scale data. This data has enabled researchers to ask new and detailed questions about how participants in these markets trust each other enough for the market not to collapse. This question deserves more attention because it has become a taken-for-granted notion that repeated transactions and social categories create trust. Whether online or on the street, economic exchanges under illegality are more uncertain than transactions in the legal economy. This puts higher demands on trust, as there is less information and the stakes are higher. In this chapter, the author presents definitions, typologies, and disciplinary contributions to the study of trust and examine how it has been operationalised in a sample of 13 peer-reviewed articles. These articles focus on three dimensions of trust: process-based trust that derives from repeated transactions with known partners; character-based trust measured by the networked reputation scores; and institutional-based trust in the platform and its administrators. In practice, the trust bases are intertwined. Drawing on the broader social science literature on trust, a mesolevel operationalisation that centres on networked reputation scores as embedded in processes and institutions can draw the research together in a multidisciplinary framework.

This paper presents a review of the state of the art on the application of blockchain and smart contracts to the peer-review process of scientific papers. The paper seeks to analyse how the main characteristics of the existing blockchain solutions in this field to detect opportunities for the improvement of future applications.

A systematic review of the literature on the subject was carried out in three databases recognized by the research community (IEEE Xplore, Scopus and Web of Science) and the Frontiers in Blockchain journal. A total of 1,967 articles were initially found, and after the exclusion process, the 26 remaining articles were classified according to the following dimensions: System Type, Open Access, Review Type, Reviewer Incentive, Token Economy, Blockchain Access, Blockchain Identification, Blockchain Used, Paper Storage, Anonymity and Maturity of the solution.

Results show that the solutions are normally concerned on offering incentives to the reviewers' work (often monetary). Other common general preferences among the solutions are the adoption of open reviews, the use of Ethereum, the implementation of publishing ecosystems and the use of InterPlanetary File System to the storage of the papers.

There are currently no studies covering the main aspects of blockchain solutions in the field of scientific peer review. The present study provides an overall review of the topic, summarizing important information on the current research and helping new adopters to develop solutions grounded on the existing literature.

Cross-border e-commerce in China has been booming in recent years. This paper aims to study pricing in Chinese cross-border e-commerce companies and focuses on the baby food market, which is simply examined as a case study to highlight broader implications. In this intensely competitive sector, the biggest challenge faced by such companies is ensuring that they are in a position to be able set prices in the short-term to maximize their competitive advantage and profitability. The study of pricing will help management to make correct operational decisions.

This study utilizes transaction data, which were obtained from the Taobao e-commerce platform. Taobao is the largest e-commerce retail platform in the world. We analyzed factors, including business models, homogeneity, reputation ratings and sales volumes, which may affect pricing.

This study found that consumers in the baby food sector of Chinese cross-border e-commerce are not price-sensitive. Consumers are reputation-rating-sensitive. The reputation ratings of sellers affect the price dispersion in e-commerce markets. The Core Price Dispersion Rate Model not only considers the prices but also takes sales volumes into account in the calculations. Finally, based on Gaussian processes, a model was developed for price forecasting in the area of cross-border e-commerce. The experimental results show that the proposed method is highly valuable for price forecasting.

This study provides a novel understanding of the baby food sector in the Chinese cross-border e-commerce market by examining the business model, price dispersion, reputation rating and correlation between the reputation of sellers, prices and sales volume. Furthermore, a model for price forecasting is proposed.

The purpose of this paper is to identify whether altruistic motivation is a significant factor in online group buying and to examine the effects of altruistic and egotistic motivation on online group buying intention through the psychological processes of trust and satisfaction.

A field study on Ihergo (www.ihergo.com/) was chosen because it is the largest online group buying marketplace in Taiwan. An online survey method was used to collect data. Returned questionnaires numbered 302 responses with 20 incomplete data, resulting in 282 valid responses for data analysis. Collected data were analyzed using structural equation modeling.

The findings of the study shows that altruism is relevant to online group buying, and trust and satisfaction have significantly positive effects on online group buying intention. The results emphasize that altruism, reciprocity, and reputation of motivations are significantly positive predictors of trust. Altruism and reciprocity have significantly positive effects on satisfaction, whereas reputation does not.

Altruism, reciprocity, and reputation represent three key elements of online group buying behavior. Integration of the altruism, reciprocity, and reputation results in a better explanation on online group buying intention through the psychological process, trust, and satisfaction. This study extends the value of online group buying and sheds light on the potential effects of altruistic and egotistic motivation on online group buying intention.

Online group buying is more complex than individual online shopping and is not easy to fulfill customer requirements. To satisfy online group buying, e-vendors might provide altruistic activities, enhance reciprocal services and products, develop better reputation mechanisms, and present an easier approach to encourage online group buying on the web site.

To the best of the knowledge, this is first paper to examine the effects of altruism on online group buying. The contribution of this study draws attention to the altruistic value of electronic commerce, by theorizing and validating the effects of altruistic and egotistic motivation on online group buying intention through psychological processes (trust and satisfaction).

Recently, with a high volume of users and user’s content in Community Question Answering (CQA) sites, the quality of answers provided by users has raised a big concern. Finding the expert users can be a method to address this problem, which aims to find the suitable users (answerers) who can provide high-quality relevant answers. The purpose of this paper is to find the expert users for the newly posted questions of the CQA sites.

In this paper, a new algorithm, RANKuser, is proposed for identifying the expert users of CQA sites. The proposed RANKuser algorithm consists of three major stages. In the first stage, folksonomy relation between users, tags, and queries is established. User profile attributes, namely, reputation, tags, and badges, are also considered in folksonomy. In the second stage, expertise scores of the user are calculated based on reputation, badges, and tags. Finally, in the third stage, the expert users are identified by extracting top N users based on expertise score.

In this work, with the help of proposed ranking algorithm, expert users are identified for newly posted questions. In this paper, comparison of proposed user ranking algorithm (RANKuser) is also performed with other existing ranking algorithms, namely, ML-KNN, rankSVM, LDA, STM CQARank, and EV-based model using performance parameters such as hamming loss, accuracy, average precision, one error, F-measure, and normalized discounted cumulative gain. The proposed ranking method is also compared to the original ranking of CQA sites using the paired t-test. The experimental results demonstrate the effectiveness of the proposed RANKuser algorithm in comparison with the existing ranking algorithms.

This paper proposes and implements a new algorithm for expert user identification in CQA sites. By utilizing the folksonomy in CQA sites and information of user profile, this algorithm identifies the experts.

The advent and rapid spread of peer to peer (P2P) technologies warrant a paradigm shift in the way we look at concepts of trust, reputation, and reliability. Users wishing to maintain anonymity and privacy are finding it harder to transact online without ceding information to a third party. The value of the marketplace is brought out through the reviews market, but there are factors that make reviewing products unappealing for users. To explore this issue, the author analyzes some of the metrics published by Amazon.com to see how people choose to trust reviews, if they do at all, and what the author can learn from the people who want to help others on the platform. This will help us assess the urgency to create value in a centralized, verified, and accredited supply of honest information. Then, we can make a case for open, P2P, decentralized, and anonymous marketplaces since they can implement a higher bar for trust and reliability.

The purpose of this paper is to investigate the varying ideologies guiding the cultural dimensions of family business and to examine the cultural sensitivity of these varying ideologies.

The research relies upon the CASE framework of nine cultural dimensions of family business. First, the literature pertaining to varying ideologies associated with each of the family business cultural dimensions is reviewed to form a conceptual analysis. Second, hypotheses are generated regarding the anticipated relationships between the two major dimensions of societal culture (power distance and in‐group collectivism) and the nine family business cultural dimensions. Data from the GLOBE program and the CASE project are then used to conduct non‐parametric tests.

The nine family business dimensions are shown as ideologies intersecting three systems of family business (family, business and social) and three social interaction elements (structural, relational and cognitive). Empirical support is found for the cultural sensitivity of the family business dimensions, in terms of the two major societal culture characteristics (power distance and in‐group collectivism).

This work provides insights into a broader conceptualization of family business in an increasingly global context. By virtue of the cultures in which they are formed, nurtured, and grow, family firms are influenced by a number of ideologies. Ideological differences – both quantitative and qualitative – mean that the forms and formats of family businesses also differ, as a reflection of their ideological and cultural underpinnings. In particular, it is useful to consider how family businesses differ, depending on their proportional support for the family, business and social system ideologies.

Security is one of the major challenges in the design and implementation of protocols for mobile ad hoc networks (MANETs). In such systems, the cooperation between nodes is one of the important principles being followed in the current research works to formulate various security protocols. Many existing works assume that mobile nodes will follow prescribed protocols without deviation. However, this is not always the case, because these networks are subjected to a variety of malicious attacks. Since there are various models of attack, trust routing scheme can guarantee security and trust of the network. The purpose of this paper is to propose a novel trusted routing model for mitigating attacks in MANETs.

The proposed model incorporates the concept of trust into the MANETs and applies grey relational analysis theory combined with fuzzy sets to calculate a node’s trust level based on observations from neighbour nodes’ trust level, these trust levels are then used in the routing decision-making process.

In order to prove the applicability of the proposed solution, extensive experiments were conducted to evaluate the efficiency of the proposed model, aiming at improving the network interaction quality, malicious node mitigation and enhancements of the system’s security.

The proposed solution in this paper is a new approach combining the fundamental basics of fuzzy sets with the grey theory, where establishment of trust relationships among participating nodes is critical in order to enable collaborative optimisation of system metrics. Experimental results indicate that the proposed method is useful for reducing the effects of malicious nodes and for the enhancements of system’s security.