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The article aims to identify the main mechanisms for promoting more Kazakhstani women participation in the legislative authorities based on a study of the competition of political parties in 2023.

Utilizing the structural-biographical method, the article investigates the ways of increasing women’s participation in the political life of Kazakhstan. This empirical study comprises a total of 18 biographies of women deputies / candidates on party lists who were elected to the legislative body. Content analysis was also conducted to investigate the pre-election programs of the political parties.

This study has identified that political party is the main resource for promoting gender equality and involving women in the decision-making process. All 18 women deputies of the Mazhilis, the lower house of parliament, are members of political parties. The findings show that women candidates without party affiliation were unable to get into representative body. The results of the election campaign of 2023 provided evidence for determining the gender order in the Kazakhstani political space. The party has become an effective channel for promoting women participations in the parliament of the country. By comparison, in single-mandate constituencies no woman was able to pass to the elected body.

This study contributes to the literature of gender equality and women’s political participation in Kazakhstan and may be relevant for other countries. It also has practical significance and policy implications for the government and political parties.

The study utilises unique survey data gathered from 12,427 party members. The dependent variable measures party members’ in-party commitment and is based on willingness to donate money, to contribute effort, the feeling of belonging in the party network and social trust in the party network.

In this article, we study how different extra-parliamentary online and offline activities are associated with in-party commitment amongst political party members from the six largest Finnish parties. We especially delve into the differences between members of the Finnish parties.

We found that extra-parliamentary political activity, including connective action through social media networks and collective action through civic organisations, is highly associated with members’ in-party commitment. Additionally, members of the newer identity parties more effectively utilised social media networks, whilst the traditional interest parties were still more linked to traditional forms of extra-parliamentary political action.

By employing the sociological network theory perspective, the study contributes to ongoing discussions surrounding the impact of social media on political participation amongst party members, both within and beyond the confines of political parties.

The study investigates factors like media, tribal, religious and party politics' influence on Nigerias’ 2023 presidential election choice. It confirms dominant social media platforms and examines their influence on election polls, e-participation and political candidate choice. The main objectives of this study are to: investigate if tribal, religious and party politics affect the respondent’s choice of a presidential candidate, ascertain the respondent's most used social media platform for political engagement and determine how social media platforms influenced the election polls during the 2023 Nigerian presidential election.

A sample size of 384 registered voters was used to survey three states in Southeast Nigeria hinged on the technological acceptance model, the instrumentalist theory of ethnicity and the theory of reasoned action.

The study found that tribal politics did not influence political candidates during the 2023 Nigerian presidential election. However, religious and party politics influenced their choices as well as X (Twitter), found as the most used and most influential social media platform vital for enhancing participatory democracy and informing people at real-time.

The researchers experienced challenges such as ensuring that the respondents filled the questions appropriately to reduce the number of void questionnaires and a funding problem since they had yet to receive any grant to enhance the study.

The study commends improved Internet connectivity and accessibility among the citizens for increased political engagement on social media. It also recommends that the Nigerian government enforce the rule of law in politics to enable diverse tribes and religions to experience democratic e-participation and development without marginalisation or subjugation by incumbent power. The findings affirm that social media is apt in political communication during the 2023 presidential elections in Nigeria. The study is a contribution to knowledge, timely and original.

Social media has become an indispensable part of modern politics. Its rise in the political arena has coincided with the decline in trust toward mainstream media. Today, more than half of the population gets their political news and information through social media platforms like Twitter and Facebook. Social media offers a great marketing opportunity to politicians as they allow them to bypass traditional media and communicate directly with voters, engage citizens during campaign and noncampaign periods, and create a brand image. As social media's influence in politics grows, so has the research devoted to political marketing on social media. It is against this backdrop that this chapter is written, which provides readers with an overview of the academic domain and the current state of literature. The chapter highlights the various research areas that have been explored in the literature and the implications of social media for political marketing strategy, along with the domain's current limitations and possible avenues of further research.

This study aims to examine the role of hope and hate in political leaders’ messages in influencing liberals versus conservatives’ social-distancing behavior during the COVID-19 pandemic. Given the increasing political partisanship across the world today, using the appropriate message framing has important implications for social and public policy.

The authors use two Natural Language Processing (NLP) methods – a pretrained package (HateSonar) and a classifier built to implement our supervised neural network-based model architecture using RoBERTa – to analyze 61,466 tweets by each US state’s governor and two senators with the goal of examining the association between message factors invoking hate and hope and increased or decreased social distancing from March to May 2020. The authors examine individuals’ social-distancing behaviors (the amount of nonessential driving undertaken) using data from 3,047 US counties between March 13 and May 31, 2020, as reported by Google COVID-19 Community Mobility Reports and the New York Times repository of COVID-19 data.

The results show that for conservative state leaders, the use of hate increases nonessential driving of state residents. However, when these leaders use hope in their speech, nonessential driving of state residents decreases. For liberal state leaders, the use of hate displays a directionally different result as compared to their conservative counterparts.

Amid the emergence of new analytic techniques and novel data sources, the findings demonstrate that the use of global positioning systems data and social media analysis can provide valuable and precise insights into individual behavior. They also contribute to the literature on political ideology and emotion by demonstrating the use of specific emotion appeals in targeting specific consumer segments based on their political ideology.

The findings have significant implications for policymakers and public health officials regarding the importance of considering partisanship when developing and implementing public health policies. As partisanship continues to increase, applying the appropriate emotion appeal in messages will become increasingly crucial. The findings can help marketers and policymakers develop more effective social marketing campaigns by tailoring specific appeals given the political identity of the consumer.

Using Neural NLP methods, this study identifies the specific factors linking social media messaging from political leaders and increased compliance with health directives in a partisan population.

There are many factors that determine consumers’ satisfaction. Specifically, the current study examines how political-economic views affect the perception of public services. This study also aims to extend the relationship between public service satisfaction and political-economic opinion from an empirical perspective.

The analysis process is carried out with the Microdataset of the Life Satisfaction Survey. Independent sample t-test which compares individual public service satisfaction ratings and ordinal probit regression models assesses the impacts of political-economic attitude on public service satisfaction.

According to the findings, household size and gender impact public service satisfaction. Again, service satisfaction diminishes as the education level rises. Moreover, a person’s political-economic view affects their public service satisfaction. The study has the potential to literature in terms of determining society’s political-economic view on public services with these empirical results.

The study’s use of the state as a point of reference and quantitative and qualitative evaluation of the service exchange between the citizen and the state is a significant difference in the literature. Also, unlike the other studies, this one used microdata to test the relationship between the political-economic type and the level of satisfaction with public services at different levels. It is thought that future studies on the determinants of public service satisfaction, to be carried out in different country samples, will contribute to the field.

This study has implications on whether the perception of public service varies according to partisanship status.

This study has implications on whether the perception of public service varies according to partisanship status.

This study determines the interaction between the political-economic typology derived from microdata and the satisfaction level variables related to public services offered at different levels. It also evaluates how public service satisfaction differs regarding personality traits and political-economic attitudes.

This study aims to investigate whether socially responsible businesses with corporate social expenditure are less prone to engaging in tax avoidance. The study also examines whether political connections moderate the association between corporate social responsibility (CSR) and tax avoidance.

The study uses ordinary least squares to analyse the panel data of all 30 listed banks on the Dhaka Stock Exchange covering 2012 to 2020. The study uses a set of alternative variables to check the robustness of the findings.

Confirming the corporate culture theory, the study findings indicate that the higher the firms’ CSR expenditure, the lower the tax avoidance. Contrarily, the moderating effect of political connection weakens the role of CSR in tax avoidance, implying that political relation makes the firms socially irresponsible. Besides, the findings document that firms with strong political connections are more likely to be tax aggressive by weakening the role of CSR. The findings imply that firms with weaker political connections are more socially responsible than firms with strong political ties.

The study provides the bank management and regulatory bodies valuable insights to take necessary actions so that they can easily monitor whether the banks follow their instructions regarding CSR and tax payments. As the politicians make the firm socially irresponsible, the regulatory bodies and bank management should not keep them or their relatives on the board.

The study contributes to the CSR and tax avoidance literature considering the moderating role of political connections in Bangladesh banking sector.

This study examines the effect of social media marketing on voting intention applying a combination of fuzzy logic methodology and a multidimensional panel data model.

The study adopts a multidimensional panel data method that includes several fixed effects. The dependent variable is a multifaceted construct that measures the participants’ intention to vote. The independent variables are electronic word of mouth (eWOM), customisation (CUS), entertainment (ENT), interaction (INT), trendiness (TRD), candidate’s perceived image (CPI), religious beliefs (RB), gender and age. The grouping variables that signify fixed effects are employment status, level of education, mostly used social media and religion. First, the significance of said fixed effects was tested through an ANOVA process. Then, the main model was estimated, including the significant grouping variables as fixed effects.

Employment status and level of education were significant fixed effects. Also, eWOM, ENT, INT, CPI, RB and gender significantly affected participants’ voting intention.

Being based on a questionnaire that asked participants about how they perceive different aspects of social media, the present study is limited to their perceptions. Therefore, further studies covering the voters’ behaviour in action could be efficient complements to the present study.

The findings could guide the political parties into prioritizing the aspects of social media in forming an effective campaign resulting in being elected.

The findings have the potential to help the public in making better informed decisions when voting. Furthermore, the results of this study indicate applications for social media which are beyond leisure time fillers.

Fuzzy logic and multidimensional panel data estimates are this study’s novelty and originality. Structural equation modelling and crisp linguistic values have been used in previous studies on social media’s effect on voting intent. The former refines the data gathered from a questionnaire, and the latter considers the possibility of including different grouping factors to achieve a more efficient and less biased estimation.

This paper aims to investigate the relationships amongst career patterns, neutrality of the state civil apparatus, and organizational performance of the local government in South Konawe District, Southeast Sulawesi Province in Indonesia.

Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the relationships between variables through direct and indirect influence testing.

The findings reveal that career patterns influence neutrality and organizational performance. Neutrality of the state civil apparatus in politics mediates career patterns and local government organizational performance. The findings indicate that, first, promotions most significantly influence the organization’s neutrality and performance. Second, demotions have the least influence on the organization’s robustness and performance.

This paper is among the first to examine the relationships amongst career patterns, neutrality, and organizational performance. Recommendations are provided to improve neutrality and organizational performance, that is, the need to increase promotions and reduce demotions.