Search results

The purpose of this paper is to investigate how different types of social capital contribute to the satisfaction with democracy (SWD) in Greece. Understanding the relationship between different variants of social capital and SWD allows one to situate the Greek democracy in the continuum of democracy types, from primary to modern.

The study uses microdata extracted from the European Values Surveys of 2002-2010 and multivariate regression analysis.

The results are compatible with a conception of the Greek political organization as a civil virtue democracy. A change in the nature of the relationship is observed after the recent economic crisis in the country.

The study contributes to the empirical knowledge regarding the relationship between different variants of social capital and SWD.

Using a typology approach, the micro-relationship between democracy and social capital is analyzed as embedded in a continuum of different democracy types. In addition, this is the first study that uses microdata to analyze the effect of social capital upon SWD in Greece. The results of the study provide valuable understanding of the social and institutional arrangements that might sustain Greece’s efforts to meet its overall developmental challenges.

A 2D numerical simulation using a finite element technique is presented for computing spreading resistance of a semiconductor buried ridge stripe laser. The simplified physical model is analyzed from the functional analysis point of view and a proof of existence and uniqueness of the nonlinear partial differential equations obtained from this simplified model is given. The discrete associated nonlinear problem is solved on triangular finite elements using conjugate gradient algorithms. Some results are presented for a specific semiconductor laser

Culture is an important motivation force to people within the context of tourism. It provides new opportunities for destinations to promote cultural elements and attract more travellers. This study aims to investigate how the cultural heritage of Cyprus is promoted online and to identify whether the needs of travellers who focus on experiential aspects and prioritise culture can be fulfilled.

The research aim is fulfilled through a critical discourse analysis of selected WebPages concerning representation of the culture of Cyprus within the tourism context.

Eighteen websites were included, and the results suggest that Cyprus has Web exposure specifically promoting its cultural heritage. However, the websites have been established with different tourism scopes, with culture comprising just one part of the content. Thus, the development of specialised websites is dedicated exclusively to culture and tourism, and it seems appropriate to attract travellers interested in more educational activities with cultural and historical value. This approach would bring many benefits because this cohort of travellers is in an upper-scale tourist market.

This study is original in nature because it brings together the case of Cyprus, an island destination highly depended on tourism in relation to cultural tourism Web discourse. The promotion of cultural parameters will provide more opportunities for the island and escape from the 3S’s (sea, sun and sand) image to be positioned as a culturally sustainable destination.

Many previous studies have indicated that by acting collectively, agrifood SMEs can improve performance and enhance their contribution to local areas. Although collective action between agrifood SMEs proliferates in many southern European countries, relatively few successful cases appear to exist in Greece. The purpose of this paper is to explore the reasons for this, by relating the theoretical conditions of successful collective action to evidence from existing studies on the Greek situation.

Drawing from the literature on small firm networks, and previous empirical studies of agrifood SMEs in Europe, the paper identifies six conditions that underpin successful collective action: three contextual (type of market, social cohesiveness, institutional involvement) and three behavioural (market orientation, co‐operative spirit, existence of an initiator).

Relating these conditions to existing evidence on Greek agrifood SMEs, the analysis suggests that socio‐cultural factors and institutional involvement are often barriers to successful collective action. However, the presence of at least some examples of strong agrifood SME networks in Greece indicates that such barriers can be overcome. The paper concludes by identifying the research questions to be tackled by future empirical study of Greek agrifood SMEs.

The paper explores the important phenomenon of small firm networks in the under‐researched country of Greece. In addition, the paper also presents an original synthesis of key conditions under which collective action thrives, drawn from many previous studies of networks and collective action in the agrifood sector throughout Europe.

For most practical control system problems, the state variables of a system are not often available or measureable due to technical or economical constraints. In these cases, an observer-based controller design problem, which is involved with using the available information on inputs and outputs to reconstruct the unmeasured states, is desirable, and it has been wide investigated in many practical applications. However, the investigation on a discrete-time singular Markovian jumping system is few so far. This paper aims to consider an observer-based control problem for a discrete-time singular Markovian jumping system and provides a set of easy-used conditions to the proposed control law.

According to the connotation of the separation principle extended from linear systems, a mode-dependent observer and a state-feedback controller is designed and carried out independently via two sets of derived necessary and sufficient conditions in terms of linear matrix inequalities (LMIs).

A set of necessary and sufficient conditions for an admissibility analysis problem related to a discrete-time singular Markovian jumping system is derived to be a doctrinal foundation for the proposed design problems. A mode-dependent observer and a controller for such systems could be designed via two sets of strictly LMI-based synthesis conditions.

The proposed method can be applied to discrete-time singular Markovian jumping systems with transition probability p_ij > 0 rather than the ones with p_ii = 0.

The formulated problem and proposed methods have extensive applications in various fields such as power systems, electrical circuits, robot systems, chemical systems, networked control systems and interconnected large-scale systems. Take robotic networked control systems for example. It is recognized that the variance phenomena derived from network transmission, such as packets dropout, loss and disorder, are suitable for modeling as a system with Markovian jumping modes, while the dynamics of the robot systems can be described by singular systems. In addition, the packets dropout or loss might result in unreliable transmission signals which motivates an observer-based control problem.

Both of the resultant conditions of analysis and synthesis problems for a discrete-time singular Markovian jumping system are necessary and sufficient, and are formed in strict LMIs, which can be used and implemented easily via MATLAB toolbox.

This paper aims to study the decision‐making processes of Portuguese tourists traveling to South America and Africa destinations by developing a conceptual framework that focuses on information sources, motivations, perceptions, satisfactions, and behavioral intentions.

The study applies a structural model that looks to explain the factors behind decision making and the relationships present. The relationships are observed in detail through the application of a categorical principal component analysis.

The results of the empirical study show that behavioral intentions precede emotional and cognitive satisfaction, which in turn, are explained through perceptions and motivations. Tourists perceive tourism destinations as places of leisure although little information is available on existing facilities and core attractions.

The study has the restriction of being limited to the Portuguese tourists. However, these findings open paths for further investigation, namely extending to other destinations and to tourists with different motivations.

This study contributes to the overall understanding of the decision‐making processes of tourists. Specifically, the decision processes is assess by considering two stages: the pre‐purchase stage and the post‐purchase stage. These two phases were analyzed in order to understand how people decide to travel to a certain destination.

Recently, Unicode has been standardized with the penetration of social networking services, the use of emojis has become common. Emojis, as they are also known, are most effective in expressing emotions in sentences. Sentiment analysis in natural language processing manually labels emotions for sentences. The authors can predict sentiment using emoji of text posted on social media without labeling manually. The purpose of this paper is to propose a new model that learns from sentences using emojis as labels, collecting English and Japanese tweets from Twitter as the corpus. The authors verify and compare multiple models based on attention long short-term memory (LSTM) and convolutional neural networks (CNN) and Bidirectional Encoder Representations from Transformers (BERT).

The authors collected 2,661 kinds of emoji registered as Unicode characters from tweets using Twitter application programming interface. It is a total of 6,149,410 tweets in Japanese. First, the authors visualized a vector space produced by the emojis by Word2Vec. In addition, the authors found that emojis and similar meaning words of emojis are adjacent and verify that emoji can be used for sentiment analysis. Second, it involves entering a line of tweets containing emojis, learning and testing with that emoji as a label. The authors compared the BERT model with the conventional models [CNN, FastText and Attention bidirectional long short-term memory (BiLSTM)] that were high scores in the previous study.

Visualized the vector space of Word2Vec, the authors found that emojis and similar meaning words of emojis are adjacent and verify that emoji can be used for sentiment analysis. The authors obtained a higher score with BERT models compared to the conventional model. Therefore, the sophisticated experiments demonstrate that they improved the score over the conventional model in two languages. General emoji prediction is greatly influenced by context. In addition, the score may be lowered due to a misunderstanding of meaning. By using BERT based on a bi-directional transformer, the authors can consider the context.

The authors can find emoji in the output words by typing a word using an input method editor (IME). The current IME only considers the most latest inputted word, although it is possible to recommend emojis considering the context of the inputted sentence in this study. Therefore, the research can be used to improve IME performance in the future.

In the paper, the authors focus on multilingual emoji prediction. This is the first attempt of comparison at emoji prediction between Japanese and English. In addition, it is also the first attempt to use the BERT model based on the transformer for predicting limited emojis although the transformer is known to be effective for various NLP tasks. The authors found that a bidirectional transformer is suitable for emoji prediction.

The study aims to investigate the mediating role played by environmental attitude and environmental sensitivity in the influence of environmental knowledge on pro-environmental behavior. Specifically, the study examined whether both environmental attitude and environmental sensitivity act as serial mediators between environmental knowledge and pro-environmental behavior. This study also explored whether there are gender differences in how environmental knowledge affects pro-environmental behavior through environmental attitude and environmental sensitivity.

A survey tool was distributed to university students in the northern region of India who had studied environmental studies as a compulsory subject during one of their semesters in their higher education program. A total of 558 responses were analyzed through nonparametric partial least squares multigroup analysis using PLS-SEM.

The results indicated that environmental knowledge significantly affected pro-environmental behavior. Moreover, environmental attitude and environmental sensitivity played significant mediating roles between environmental knowledge and pro-environmental behavior. Additionally, the results showed that the serial mediation effect of environmental attitude and environmental sensitivity in the relationship between environmental knowledge and pro-environmental behavior was significant. However, the findings did not show any significant gender difference in how environmental knowledge influences pro-environmental behavior, mediated serially by environmental attitude and environmental sensitivity.

Although vast literature is available on the relationship between environmental knowledge and pro-environmental behavior, a few studies have shown environmental attitude and environmental sensitivity as mediators. In addition, this study fills the gap in the existing research by exploring how environmental attitude and sensitivity serially mediate the nexus between environmental knowledge and pro-environmental behavior, particularly across genders.

This study investigates the dynamic interdependence between Islamic and conventional stock markets in the Gulf Cooperation Council (GCC) economies and the influence of global financial uncertainties on this interconnection.

The study employs the time-varying parameter vector autoregressions (TVP-VAR) technique and analyzes daily data from December 1, 2008 to July 14, 2021.

The research reveals robust interconnectedness within individual countries between Islamic and conventional stock markets, particularly during crises. Islamic stock markets exhibit greater susceptibility to spillover effects compared to conventional stocks. The UAE and Kingdom of Saudi Arabia (KSA) stock markets are identified as net transmitters of spillovers, while Oman, Bahrain and Kuwait receive more spillovers than they transmit. Global financial uncertainty measures (GVZ, USEPU and UKEPU) positively influence financial market interconnectedness, with EVZ exhibiting a negative impact while VIX and OVX remain statistically insignificant.

Investors and portfolio managers in Oman, Bahrain and Kuwait should carefully evaluate the UAE and KSA markets before making investment decisions due to the latter's role as net transmitters in the region. Additionally, it is emphasized that Islamic and conventional stocks should not be considered interchangeable asset classes for risk hedging.

Investors must be aware that Islamic and conventional stocks cannot be used as an alternative asset class to hedge risk.

The present article offers valuable insights for practitioners and researchers delving into the comparative analysis of Islamic and conventional stock markets within the GCC context. It enhances our comprehension of the dynamic interdependence between Islamic and conventional stock markets in the GCC economies and the impact of global financial uncertainties on this intricate relationship.

Considering that knowledge, skills and behavior can influence sustainability efforts, this study aims to assess which personality traits influence one’s sense of feeling connected to nature and presumably make more sustainable choices. The study also explores the situational factors that might pose barriers, despite an individual's preference for a sustainable lifestyle.

In total, 54 faculty members from six Higher Education Institutions in Bangladesh were interviewed based on a semi-structured questionnaire on the barriers to a sustainable lifestyle in Dhaka city, while their personality traits were assessed using the Interpersonal Reactivity Index, the Big Five Factors and the Connectedness to Nature Scale through a survey.

The results state that Empathic Concern and Fantasy, as dimensions of empathy, have strong positive correlations with feeling connected to nature. The physical, social and psychological challenges also cause fewer people to lead a sustainable lifestyle, despite feeling highly connected to nature.

Sustainability efforts need to be context-specific due to localized challenges the people face. While educators play a key role in mainstreaming sustainability, generalizing the findings of the study to the wider population is limited. Further investigation to explore demographic and socioeconomic factors will provide key insights to the determinants of sustainable behavior.

The findings highlight that educational institutions can play a key role in the development of empathy and sustainability education, while addressing the need for good governance and policies in mainstreaming sustainability for attaining the Sustainable Development Goals Agenda 2030.

Few studies have been conducted to understand sustainable behavior in Bangladesh and identify effective methods to promote sustainability. This study provides insights to sustainable behavior in the context of a least-developed country. Additionally, it will support educational institutions to work toward sustainable development by enabling empathic skills development in curricula, leading to more concrete sustainability efforts.