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The purpose of this paper is to investigate the effects of negotiation process and outcome on an individual’s desire to negotiate again with the same counterpart.

Data were collected from 115 dyads representing two companies negotiating an eight-issue property leasing agreement via e-mail. Desire to negotiate again was regressed on demographic/personality, process, and outcome measures.

Reaching an agreement was found to be significantly related to desire to negotiate again, while the number of messages exchanged and the mean number of competitive tactics employed were positively and negatively associated with reaching an agreement, respectively. Further, perceived honesty of self and counterpart were also associated with an individual’s desire to negotiate again.

This study focuses on an aspect of real negotiations often overlooked by researchers – the likelihood of future encounters with the same party – and examines three categories of factors that could affect a party’s desire to negotiate with a counterpart again – demographic/personality, process, and outcome (actual and perceived).

This paper aims to describe a study of the negotiation process, focusing on the use of seven competitive-unethical tactics in dyadic negotiations. The initial use of these tactics and their effects on process and outcomes are examined.

In total, 230 Brazilian professionals from a large financial institution participated in two-party, property-leasing negotiations involving eight issues with assigned point values. Negotiations were conducted online and, from the recorded transcripts, seven competitive-unethical tactics were tracked and analyzed with respect to the negotiation process and outcomes (individual and joint, perceived and actual).

The study found that most participants employed one or more tactics, the stage and incidents of initial use affected overall employment, and participants often reciprocated when tactics were employed. Reciprocation was best described by a logarithmic function, with a small number of tactics answered with as many or more tactics, but a large number of tactics producing a smaller response. Also, number of messages exchanged and number of tactics per message were related to likelihood of reaching an agreement and, to some extent, to individual outcomes (actual and perceived). Reaching an agreement and perceived individual outcome were associated with a participant's desire to negotiate with a counterpart in the future.

The vast majority of studies to date have employed questionnaires to measure ethical attitudes or intentions, or have limited their empirical studies to competitive tactics only. This study moves beyond these methodologies to examine the actual use of a range of competitive-unethical tactics, and their effects on process and outcomes.

The paper analyses the role and impact of Twitter in Spanish political communication, specifically focusing on how the platform influences the visibility and relevance of political candidates' messages during various election campaigns and across various political dimensions – government vs. opposition, traditional vs. populist, and left-wing vs. right-wing.

The study employs a longitudinal quantitative analysis perspective regarding the number and impact of messages posted by the main candidates in the six general elections held in Spain during the period 2011–2023. The tweets were automatically collected through the Twitter API for 54 days, between the call for elections and voting. The equalisation versus normalisation framework regarding social media is used.

The findings showed that the dissemination of messages on Twitter exhibited a skewed distribution characterized by notable differences in the unequal relevance of tweets between candidates on the left-right and traditional-populist axes, especially among the tweets with the highest impact. Tweets from opposition and populist candidates presented a greater level of relevance than those from government and conventional candidates. No discernible differences were identified along the ideological spectrum, indicating a high degree of cross-partisan engagement on social media. Findings indicate that opposition and populist candidates are strategically utilising Twitter, challenging the notion of normalisation and emphasising the equalising potential of social networks.

The study offers a long-term view of political communication, which is relatively rare in social media research, often focused on shorter time frames or single election cycles. The multidimensional comparison provides nuanced insights into how different political identities and affiliations are manifested and engaged with on social media.

This study aims to underline the importance of addressing gender issues in family firms. It reinvigorates research in this field by revealing its current state, identifying research gaps and suggesting future agendas.

A bibliometric approach using a co-word analysis of 376 papers from the Web of Science database and their 885 keywords was performed to reveal the thematic structure of gender and family firm research, research topics, associations among them and their evolution over the last 30 years (1991–2021).

This review provides an extensive literature base and suggests research topics that facilitate the adoption of a gendered lens in family firm literature and business practice.

This review demonstrates how gender issues are intertwined with management, leadership and family firm approaches. Our observations inform scholars, policymakers and practitioners on the need to integrate gender issues into organizational culture and to connect empowerment strategies with the sociocultural environment.

This study shows the need to address women’s empowerment in business, considering different sociocultural contexts in addition to a Western focus. It also calls for embracing gender and feminist perspectives in research.

This study provides an overview of the numerous theoretical facets of greenwashing (GW) and their relationship with sustainability, social responsibility and sustainable development. This study highlights the actions of governments and international organizations in GW. It delves into the sins of GW and the various metrics used in the literature to measure them. It seeks to distinguish between sustainability reporting and GW practices by offering a critical perspective on GW.

This study measures GW practices at the international level and compares them with the ESG disclosure score. The main determinants of GW are assessed by examining the impact of a set of variables on GW. The influence of various sources used to gather the data were assessed using multiple regression analysis.

Factors such as protocols and conventions, media role and the strength of environmental policies have a considerable and positive impact on the occurrence of GW.

Owing to the research method chosen for measuring variables such as GW scores, procedures for measuring GW in companies should be developed. Multicriteria modeling could be a suitable approach to address the sorting or portfolio approach.

This study provides a theoretical basis for examining GW from a business-economic standpoint. It presents various perspectives on GW, analyzes relevant theories and explores potential GW strategies. This study highlights the connection between GW and various factors, including the influence of conventions, role of the media and strength of environmental policies.

COVID-19, a causative agent of the potentially fatal disease, has raised great global public health concern. Information spreading on the COVID-19 outbreak can strongly influence people behaviour in social media. This paper aims to question of information spreading on COVID-19 outbreak are addressed with a massive data analysis on Twitter from a multidimensional perspective.

The evolutionary trend of user interaction and the network structure is analysed by social network analysis. A differential assessment on the topics evolving is provided by the method of text clustering. Visualization is further used to show different characteristics of user interaction networks and public opinion in different periods.

Information spreading in social media emerges from different characteristics during various periods. User interaction demonstrates multidimensional cross relations. The results interpret how people express their thoughts and detect topics people are most discussing in social media.

This study is mainly limited by the size of the data sets and the unicity of the social media. It is challenging to expand the data sets and choose multiple social media to cross-validate the findings of this study.

This paper aims to find the evolutionary trend of information spreading on the COVID-19 outbreak in social media, including user interaction and topical issues. The findings are of great importance to help government and related regulatory units to manage the dissemination of information on emergencies, in terms of early detection and prevention.