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This study seeks to provide a greater understanding of the variables that influence travellers’ intention to participate in social media, paying special attention to (1) the direct impact of perceived usefulness (PU) of social media and (2) the moderating impact of tourists’ altruism and self-interest.

The proposed conceptual model was empirically tested using an online questionnaire distributed to a sample of 394 tourists visiting a World Heritage city.

The findings show that perceived social media usefulness has a significant effect on users’ intention to share experiences. Additionally, self-interest appears to moderate the relationship between perceived social media usefulness and users’ sharing intention, but the results do not support the moderating effect of altruism.

Despite scholars’ growing interest in social networks as sources of tourist information, little is known about the aspects that encourage users’ participation in these platforms. This paper offers key contributions to the relevant literature in this field and offers compelling recommendations for tour operators' management of social networks.

本研究擬讓我們更清楚了解驅使旅行人士參與社交媒體上的交流活動的變數;為求達至這研究目的，研究人員特別對以下兩方面加以注意和研究：(一) 、旅行人士對社交媒體的感知效用所帶來的直接影響;(二) 、旅行人士的利他主義，以及其對個人利益的考慮所帶來的緩和影響。

研究人員對其提出之概念模型進行實證測試，方法乃透過收集一個包含394名曾參觀世界遺產城市的旅行人士的樣本所回應的網上問卷數據，並進行數據分析。

研究結果顯示，旅行人士若覺得社交媒體是有用的話，則他們會更願意在那裡分享旅行經歷;而且，他們對自己個人利益的考慮，似會緩和他們對社交媒體的感知效用與其分享經歷的願意程度之間的關係;唯研究結果沒有證實利他主義會帶來緩和的影響。

雖然學者對社交網絡作為提供資訊的來源感到興趣，而且這興趣不斷增加，但我們對促進旅行人士參與社交網絡平台活動之因素的了解仍然淺薄，就此而言，本研究於有關的文獻提供了重要的貢獻;研究亦為旅遊經營者就應如何管理社交網絡提供了具說服力的建議。

Given the growing importance of the relationship between customer value co-creation and customer satisfaction, it is essential to assess the implications of this connection from both a managerial and an academic perspective. The literature on this link has grown enormously in recent years. However, there lacks an integrative framework to improve its understanding. Based on the use of bibliometric techniques, the purpose of this article is threefold: firstly, to shed light on the relationship's knowledge structure by identifying the main clusters of topics; secondly, to propose an integrative conceptual framework and finally, to identify future avenues of research.

The authors analyze a database of 133 recent documents dealing with this pairing to address this gap. A bibliometric coupling methodology was used. Additionally, an in-depth analysis of centrality, density and citations for the different clusters identified in the last years was performed. The authors characterize each group in the knowledge map of the relationship.

This bibliometric analysis identified seven thematic clusters. Three of these, with a more transversal nature, have fostered the growth of this literature. The subsequent clusters used theoretical frameworks present in the first three clusters, adapting them to the specific circumstances analyzed, following different patterns of evolution. The authors present the behavior of the citations in each cluster over recent years, analyzing their intellectual base, trends and development potential.

Derived from their findings, an integrative conceptual framework for explaining the knowledge structure of research in value co-creation and the customer satisfaction literature is proposed. The authors identify main topics by clusters and then detect research gaps and propose new research avenues for the future.

The purpose of this paper is to study how digital business models evolve when entrepreneurs move to new digital platforms and how this evolution is related to effectuation and causation logics.

This study applies a multiple case study approach to investigate how digital business models change in small, Japanese high-tech firms providing their innovations through different digital platforms. To investigate digital business models, this study considers the elements that comprise general business models. The case firms were selected based on size, products and transitions from physical to various digital platforms. Semi-structured interviews were conducted with the key decision-makers from the case firms.

The findings show that through digital transformation, the case firms’ digital business models evolved by following effectuation logic as well as causal logic. All the firms employed causal logic when moving to new platforms, among other actions. The case firms used effectual logic with success for product development and adjustments to their network. Especially firms providing video games relied on effectuation for high impact products. Effectual logic did not play a role at all in changes to value delivery and had only little impact on revenue structures.

This research helps understand how digitalization of platforms and subsequent moves to newer digital platforms improve a firm by changing the business model elements through effectuation and causation logics. This research extends the understanding of digital business model transformation to a more granular level, business model elements.

In this paper we measure the effect of the quota on the difficulty of making decisions in the EU-25 Council with the weights agreed upon in the Treaty of Nice. We compute the probability of a proposal being rejected in the Council. This probability depends on the voting rule (and therefore on the quota) and on the probabilities of the different vote configurations. Here we do not consider that all vote configurations are equiprobable, the classical implicit or explicit assumption in the literature. We assume that vote configurations with a minority of member states in favour of the proposal have a null probability, with other vote configurations being equiprobable.

This study aims to determine which factors underlie the store attributes that contribute to a particular food store image. Furthermore, heightened recent attention to private labels in the food retailing industry creates the need to assess whether the factors vary, depending on customers' brand proneness and their impact on key marketing performance variables (satisfaction, attitudinal loyalty, behavioural loyalty).

The proposed analysis features 211 questionnaires out of a sample of 391 consumers surveys gathered in four different store formats; 137 of which were completed by consumers who admitting being private label prone, and 74 pertaining to consumers who considered themselves national brand prone. The underlying food store factors were identified using factorial analysis of principal components, and their influence on consumers' satisfaction and loyalty was evaluated with linear parametric regression models.

Store attributes related to providing sufficiently convenient purchasing experiences and a special atmosphere are most important for private label brand-prone consumers and enhance their satisfaction, attitudinal loyalty and behavioural loyalty. For national brand-prone consumers, attributes related to quality are more important for enhancing marketing performance variables.

The results enable a clear identification of food store factors that vary with the consumer segment being considered (private label prone consumers vs. national brand prone), as well as their differential impacts on key marketing performance variables.

To appeal to private label-prone consumers, food retailers should put particular emphasis on the attributes of the store itself, especially those that enhance convenience and the pleasantness of the store atmosphere. To attract national brand-prone consumers, they primarily need to highlight aspects related to quality.

This research emphasises the importance of building competitive strategies in food retailing based on: an increased knowledge about the attributes and factors that food consumers value more highly; and brand type preferences.

This paper aims to empirically examine the mediating role of knowledge acquisition between social capital and innovation for firms located in science and technology parks (STPs).

Partial least squares offers the primary statistic technique for assessing survey data collected from 214 Spanish tenants.

Knowledge acquisition fully mediates the relationship between social capital and firm innovation. Moreover, social capital at the firm level has a significant influence on both knowledge acquisition and innovation.

Further research should include more independent variables to understand the complex phenomenon of firm innovation.

Tenant firms in STPs must develop strategic management tactics for their interfirm relations to acquire and exploit key resources such as knowledge. For specialized firms, close social interactions in specific contexts can enhance both knowledge acquisition and innovation to compensate for their resource constraints.

By demonstrating the impact of social capital on knowledge acquisition and innovation in the specific context of STPs, whose artificial environment encourages and promotes close social interactions among tenants, this article overcomes previous and contradictory findings regarding the relationship between social capital and innovation. A key element is the contingent and mediating role of knowledge acquisition. Finally, this study considers social capital at the firm level as a multidimensional, second‐order latent construct that includes structural, relational and cognitive aspects simultaneously.

Building a culture of safety in transportation is not dissimilar from building a culture of safety in health. Public health is widely known for protecting the public from diseases through milk pasteurization and chlorination of drinking water, and from injuries by implementing environmental and occupational safeguards and fostering behavioral change. Lifestyle and environmental changes that have contributed to the reductions in smoking and heart disease can also help change driving, walking and cycling behaviors, and environments. Stimulating a culture of safety on the road means providing safe and accessible transportation for all. The vision for a culture of traffic safety is to change the public’s attitude about the unacceptable toll from traffic injuries and to implement a systems approach to traffic injury prevention as a means for improving public health and public safety. Framing the motor vehicle injury problem in this way provides an opportunity for partnerships between highway safety and public health to improve the culture of safety.

This research proposes analytical valuation models throughout football players' life cycles based on crowd valuations from social media to produce dynamic sporting human capital disclosures, and therefore, supplying further useful information to capture the intellectual capital (IC) of football clubs.

This work is carried out using an econometric model that includes 658 observations of crowd judgments versus their transfer fees, for the best footballers of the three major European Leagues between 2006 and 2018. To make the model more parsimonious, the set of independent variables that really add value has been found across the stepwise methodology.

The significant differences between both models are analyzed, integrating previous academic literature based on the existence of negotiation elements in prices, and in the capacity of crowdsourcing to explain assessments of football players, from a dynamic perspective, alongside a new variable: injuries, which has not been explained before.

The broader assessments from crowdsourcing should be integrated in intellectual capital disclosures (ICD), from a critical, novel and dynamic perspective, creating a virtuous cycle between managers and fans, to increase transparency of financial information for stakeholders and society.