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The purpose of this paper is to analyze the major factors in the intention to adopt pro-social behavior through the internet by dividing them into personal factors and internet factors.

This research uses an empirical model to determine which personal and internet features are significant to consumers’ pro-social concerns. Internet factors may also affect pro-social behavior in addition to personal factors that many psychological studies have found to be influential. Through internet survey of 150 responses, the research model was analyzed with the partial least squares method.

The findings indicate that social influence (SI) and specific internet characteristics generate perceived reciprocity and perceived ease of use of the internet in customers that encourages pro-social behavior.

The findings provide non-profits with a theoretical foundation for their marketing. Many agencies and media reports have pointed out the importance of the internet in social causes. This study offers a thorough model revealing the influential factors in pro-social activities.

This study has discovered the influential factors that non-profit organizations must consider in order to persuade their population targets. Organizations striving to capture consumers’ attention and purchase behavior (in the form of a social contribution) must facilitate SI and ease of use, as these are highly influential.

Pro-social behavior and internet adoption have been widely studied separately but rarely together. This study analyzes the major factors in the intention to adopt pro-social behavior through the internet by dividing them into personal factors and internet factors.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.

This paper gives an overview of the development and pilot implementation of a tool to evaluate socially inclusive practice. There are strong links between social inclusion and better mental health outcomes for people who access services, yet a very limited amount of research exists concerning ways to evaluate socially inclusive practice within mental health services. The paper describes the creation of a tripartite tool to access the views of mental health teams who work with service users, and the service users themselves. As part of the movement towards recovery and social inclusion, the Department of Health requires that social and occupational needs become embedded in care plans alongside health needs (DoH, 1999), and so an analysis of care plan documentation completed the evaluation tool. A pilot evaluation was conducted with three mental health teams in Sussex and found issues with engagement and response rate. Lessons learned and future implications are discussed.

Negotiators are offered limited advice on how to overcome adverse events. Drawing on resilience and coping literatures, this study aims to test the impact of three cognitive processing strategies on negotiators’ subjective and economic value following adversity.

Participants completed two negotiations with the same partner. The difficulty of the first negotiation was manipulated and tested how cognitive processing of this experience influenced subjective and economic outcomes in the second negotiation.

Subjective and economic outcomes were predicted by negotiators’ affect, their cognitive processing strategy and negotiation difficulty. In difficult negotiations, as positive affect increased, proactive processing decreased self-satisfaction. As negative affect increased, affective processing increased satisfaction with relationship and process.

Cognitive processing of adversity is most effective when emotions are not running high and better able to protect relationship- and process-oriented satisfaction than outcome-oriented satisfaction. The findings apply to one specific type of adversity and to circumstances that do not generate strong emotions.

This research tests which of three cognitive processing strategies is best able to prevent the aftermath of a difficult negotiation from spilling over into subsequent negotiations. Two forms of proactive processing are more effective than immersive processing in mitigating the consequences.

To discuss and analyze models of urban design practice based on the examination of an accessibility project developed in Florianópolis, a medium‐sized capital city in the South of Brazil.

The paper describes a design process of a new problem – how to improve access to public urban spaces for excluded groups, such as visually impaired citizens – and examines its development, successes and failures and the relationships between its participants. A reflective analysis is done in order to reach a relational comprehension of the economic, social and political factors involved.

Critical examination of the project revealed three important aspects. The first is that at all stages it is fundamental to create channels of communication that give a voice to users. The second is that technical knowledge is not neutral, and incorporating multiple views can bring innovative technical solutions and also the external support that is necessary to solve complex problems. Third, the fragility of public institutions and the weakening of state services caused by neo‐liberal policies is a key determinant for the success of urban design processes.

The analytical effort needed to extend the boundaries beyond our own actions as architects (in a conflicting urban design project), demonstrated the importance of producing knowledge based on a reflective attitude towards practice.

The paper aims to determine the attractiveness factors of UAE shopping malls from the shoppers' perspective and then to segment shoppers according to these attractiveness factors.

A survey of university staff and principal component factor analysis were used to identify shopping mall attractiveness factors. Segmentation approach using K‐means cluster analysis was also used to segment mall shoppers due to the identified factors.

This study revealed six mall attractiveness factors from the shoppers' perspective: comfort, entertainment, diversity, mall essence, convenience, and luxury. It also arrived at three mall shopper segments, specifically, relaxed shoppers, demanding shoppers, and pragmatic shoppers. Each segment was profiled in terms of mall attractiveness attributes, demographics and shopping behaviour.

This study is limited in that it surveyed UAE University staff as shoppers. Thus, findings may not be representative of UAE shoppers in general.

Identifying mall attractiveness factors for a segmented market gives a better understanding about patronage motives than when it is applied to the market as a whole. This enables mall managers to develop the appropriate retailing strategies to satisfy each segment.

This is the first study to provide an insight of mall attractiveness factors as identified by different shopper segments in an Arabian environment without ignoring the special cultural differences in the UAE.

At regular intervals over the past two decades, management has been presented with various attractively packaged techniques, offered as the panaceas to cure hitherto perennial managerial problems. Although these “cure‐alls” may differ greatly (cf. MBO and productivity bargaining) they tend to have a common characteristic, that is, they claim that advantages will result for all the parties involved, and, often, that they will produce results in every organisation in which they are properly applied and given a chance to work. The experience that, in practice, some of the benefits claimed by the different groups involved are incompatible, or that some are more difficult to bring about than anticipated, or that the supposedly “universal” panacea “just does not work in our company”, does not seem to inhibit the discovery of new panaceas to replace or supplement the old.

A Study in Organisation. Under the non‐committal title “Construction of Esso Refinery, Fawley; A Study in Organisation”, A. P. Gray and Mark Abrams tell the story of how this vast £37½ million venture was constructed in little more than two years—thanks to outstandingly efficient management both at the planning and construction stages.