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The sustainable development goal (SDG 17) is to strengthen the means of implementation and revitalise the global partnership for sustainable development. Partnership is a key strategy for acquiring skills, information and private finance for developing critical infrastructure projects. Existing studies have mostly concentrated on identifying critical success factors (CSFs) for successfully delivering public–private partnerships (PPPs) projects, but the interrelationships among CSFs expected from stakeholders have garnered less attention. The purpose of this study is to examine the interconnections among CSFs of PPP projects while keeping the public in mind, as well as the influencing routes that contribute to success in the PPP implementation process.

The study uses a mixed-method approach that involves both quantitative and qualitative methods of data collection. The data for the study were collected through a well-structured questionnaire from the respondents who are directly or indirectly associated with the PPP project implementation process. The CSF’s framework was built using a literature study and expert interviews; nine hypotheses were developed and evaluated using structural equation modelling. Random and purposive sampling techniques were used for the respondents who were directly or indirectly associated with the PPP project implementation process.

The findings of this study reveal that the relationship between public and private partners is more adherent than collaborative, with unequal responsibilities, powers and resources distributed among the parties involved. The relevance of state rules, the PPP directive and policies in PPP implementation is supported by the positive connection between favourable environments (Fav_Env) and government attributes (Gov_Atr; the path coefficient is 0.405). Moreover, government attributes have a favourable influence on private company attributes (Pvt_Atr; the path coefficient is 0.198), showing that the state plays a substantial role in the private sector’s decision-making process in PPP. The long-term sustainability and success of a PPP project are dependent on the established interrelationships between CSFs.

The established interrelationships between CSFs will contribute to the long-term viability and success of a PPP project. Since PPP is still in its infancy in India, the study of CSFs in PPPs and their interrelationships will help policymakers and other stakeholders better understand the major individual factors impacting the success or failure of PPP initiatives.

Because PPP is still in its infancy in India, the study of CSFs in PPPs and their interrelationships will help policymakers and other stakeholders to better understand the major individual factors impacting the success or failure of PPP initiatives. A key implication of the study borders on providing a better understanding of the relationships between CSFs and public engagement. This is also critical for the long-term viability of PPPs and the enhancement of public service quality.

Purpose: The hospitality industry faces several contemporary issues and challenges that have the potential to impact its growth and development. This study aims to identify and analyse contemporary issues and challenges facing the hospitality industry, including trends, regulations, and Tech salutation.

Need for the study: The hospitality industry plays a significant role in the global economy with its diverse services, including accommodation, food and beverage, events, and tourism. However, the sector faces several contemporary issues and challenges that have the potential to impact its growth and development. This study will provide an overview of the most significant problems and challenges facing the hospitality industry today.

Methodology: The researchers used secondary data for the analysis of the chapter. The researchers reviewed journal papers, books, book chapters, government websites, handbooks, reports, internet, and official records for identification of issues and challenges in the hospitality industry.

Findings: The study identified several contemporary issues and challenges facing the hospitality industry, including the impact of technology and COVID-19 on operations and customer experience, changing consumer preferences for sustainable and ethical practices, labour shortages and retention issues, increasing competition, and changing regulatory environments.

Practical implications: The hospitality industry faces numerous contemporary issues and challenges that impact its sustainability and profitability. Industry stakeholders must understand and address these challenges to remain competitive and relevant in a rapidly changing global market. The findings of this study provide valuable insights into the contemporary issues and challenges facing the hospitality industry and suggest potential strategies for addressing these challenges.

This study aims to showcase the effect of gender in the field of library and information science.

Research and review articles published from 2005 through 2014 in The Electronic Library, a prominent journal in the field of Library and Information Science, were examined from the perspective of authors’ gender. Influence of gender was assessed with respect to at individual and collaborative levels, quality in terms of citedness and citation count, and receipt of research grants.

There has been an increase in the proportion of male authors over the years with a resulting decline in female authors. Male authors are more productive as teachers, while females contribute more as working professionals or while they peruse their academic/research programmes. Though the productivity in collaborative works has increased in all gender combinations, it is more prominent when authors of opposite gender team up. No significant difference is observed in the number of national or international works produced in different collaborative authorship patterns. There is no difference in the number of male and female authors in male–female collaborative works. Works sponsored by grants are produced more frequently in groups comprising male–female or male–male members. No significant difference is observed in the number of cited or uncited works produced in different authorship patterns. The number of citations to works is independent of the nature of gender-wise authorship patterns.

The study examines the status of women in research, specifically in the field of library and information science. The findings of the study are based on the contribution of the authors involved with the journal, “The Electronic Library”. Readers are encouraged to expand the study by including authors that contribute to other library and information science journals.

The study is first of its kind to highlight the involvement and observe the influence of female authors in the field of library and information science research.

Pakistan is one of the most climate change and natural disaster-affected countries in the globe, where the lives and livelihoods of people are repeatedly affected due to these natural disasters. Over the past few decades, the country has been impacted by numerous devastating floods, droughts, and storms. As a result, households face enormous complications, particularly those dwelling in disaster-prone areas. Therefore, this study intends to explore the status of household vulnerability and resilience practices of hazard-prone communities in Pakistan from existing literature. This study has identified the 17 most relevant documents. It argues that household vulnerability is increasing consistently with the increasing rate of disaster intensity. Frequent flooding, landslide, erosion, and crop loss are the leading causes of household vulnerability. This study reveals five types of household vulnerability components which look into several livelihood vulnerability indicators of Pakistani households. Moreover, the study unfolds that the main causes of disaster vulnerability are widespread crop loss, a lack of water, loss of soil fertility, and low socioeconomic situations. The major vulnerability components of dwellers are exposure (increasing summer duration, the rapid increase of population house build-up in the riparian areas, and increasing occurrence of hailstorms), sensitivity, low access to education facilities, human loss, diseases infestation, food insecurity, and social conflict), and less adaptive capacity (social networks, migration, poor emergency services, multiple income sources, and less access to the health facility). To address the household vulnerability, this study has also identified four key aspects of resilience, like social resilience, economic resilience, institutional resilience, and physical resilience. The findings will effectively help to understand the dynamics of household vulnerability and resilience and its measurement and management strategy from developed indicators.

The purpose of the study is to analyze the impact of the Publication Timeline, i.e. Submission to First Decision and Submission to Acceptance on Journal Metrics, i.e. Impact Factor (IF) and 5-year IF.

Data related to the IF and 5-year IF were retrieved from Clarivate Analytics’ Journal Citation Report 2020. The Publication Timeline of each journal was ascertained through their respective websites. To attain the model fit summary, an analysis of variance (ANOVA) test was performed. Regression analysis was also performed on the models using SPSS 21 software to ascertain the nature and degree of impact the Publication Timeline (Submission to First Decision and Submission to Acceptance) has on Journal Metrics (IF and 5-year IF).

Submission to First Decision has a significant inverse relationship with both the IF and 5-year IF, whereas Submission to Acceptance has a significant direct relation with 5-year IF and an inverse but insignificant relationship with IF.

Journals published by Springer Nature and of multidisciplinary nature have been considered for the study. Only those journals were selected that provided the information regarding the Publication Timeline, whereas those which did not provide the same, were excluded. However, new insights can be revealed if the journals published by different publishers and belonging to one particular discipline are studied.

The study helps to ascertain the impact of the Publication Timeline on the Impact Metrics of the journals. It can help the authors select the journals as their publishing venues considering the Publication Timeline. Publishers can also be benefitted from the findings of this study since improvisations and modifications in their Publication Timelines can positively influence the impact metrics of their respective journals.

The study attempts to measure the impact of the Publication Timeline on Journal Metrics using cross-sectional secondary data, by performing regression analysis. Though various studies have examined the influence of the Publication Timeline on the IF using correlation analysis, to the best of the authors’ knowledge, this study is the first of its kind to use regression analysis to check the relation, as well as the degree of impact the Publication Timeline, has on Journal Metrics.

The purpose of the study is to evaluate the relationship of Journal Publication Timeline (submission to first decision and submission to final decision) with various Journal Metrics (citing half-life, article influence score, the immediacy index, the acceptance rate, the impact factor (IF), five years IF, Eigenfactor and cited half-life) of top 600 journals retrieved from Journal Citation Report (JCR) 2020 under the tag, Elsevier Unified.

Top 600 journals in the decreasing order of the IFs under the tag, “Elsevier Unified” were retrieved from JCR 2020 of Clarivate Analytics. Information about “Journal Metrics” was ascertained using “Customized Service” of JCR, while information about the “Publication Timeline” of each journal was obtained using Elsevier's “Journal Insights Service.” It was found that only 177 journals provided the complete information regarding the “Publication Timeline” and hence considered for the study. Descriptive statistics and correlation analysis was conducted to test the different hypotheses.

It was found that submission to first decision has a significant relationship with the immediacy index, citing half-life and the acceptance rate. Submission to final decision has a significant relationship with Journal Impact Factor (JIF), the immediacy index, Eigenfactor, citing half-life and the acceptance rate.

The study will provide the authors with sound and valuable information to support their selection of journals. Inferences in light of fluctuations in the scholarly communication process in terms of Publication Timelines and Journal Metrics can be deeply understood with the aid of the current study's findings. What considerations authors have to take before submitting their papers is the main implication of the study. Journal administrators can also benefit from the findings of the current study as it can help recruit and manage reviewers, which will ensure a successful publication timeline.

The study correlates Publication Timeline Indicators with Journal Metrics Indicators using secondary cross-sectional data. Though most previous studies only examine the relationship of the Publication Timeline with the Journal Impact Factor (JIF), there is very scarce literature that deciphers the influence of Publication Timeline indicators on different Journal Metrics indicators (including JIF).

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0108.

This study aims to examine the associations between socioeconomic status, types of rigging (pre- polling-day and post-), politics and voting behavior, vote casting and perceptions of rigging in Pakistan’s most recent elections, and attitudes toward electoral integrity.

Data were collected from students at three different universities. In all, 748 units of analysis (488 male and 260 female) recorded their responses by means of a self-structured questionnaire. Linear regression was applied to measure the associations between variables, and the reliability and validity of the scales were tested.

A significant relationship was found between pre-poll rigging, post-poll rigging, politics and voting behavior, socioeconomic characteristics (i.e. age, education, father’s education, background or place of residence and monthly household incomes), the perception of rigging in the last elections and attitudes toward electoral integrity.

Pakistan’s history has been blemished by electoral malpractices during both de facto and de jure regimes. Attention has formerly been paid to either polling-day or post-election rigging. The relationship of electoral integrity with different factors explored in this study have usually been ignored or overlooked. The findings of this study would help policy-makers, youth experts and academicians to reorient their behaviors to strengthen political stability, the rule of law and the continuation of democracy via their participation in the system.

To the researchers’ best knowledge, there has not been a single peer-reviewed study of Pakistan which has explored the associations between the variables examined for this study. The main academic challenge the researchers faced was to find a standardized and contextualized scale or tool to explore how different types of vote-rigging affected attitudes toward electoral integrity. Thus, the structured scales for types of rigging and electoral integrity developed here would be useful for future studies in the field of electoral integrity in democratic countries.

Sharing and obtaining information over social media has enabled people to express their opinions regarding any event. Since the tweets regarding the Russia-Ukraine war were extensively publicized on social media, this study aims to analyse the temporal sentiments people express through tweets related to the war.

Relevant hashtag related to the Russia-Ukraine war was identified, and tweets were downloaded using Twitter API, which were later migrated to Orange Data mining software. Pre-processing techniques like transformation, tokenization, and filtering were applied to the extracted tweets. VADER (Valence Aware Dictionary for Sentiment Reasoning) sentiment analysis module of Orange software was used to categorize tweets into positive, negative and neutral ones based on the tweet polarity. For ascertaining the key and co-occurring terms and phrases in tweets and also to visualize the keyword clusters, VOSviewer, a data visualization software, was made use of.

An increase in the number of tweets is witnessed in the initial days, while a decline is observed over time. Most tweets are negative in nature, followed by positive and neutral ones. It is also ascertained that tweets from verified accounts are more impactful than unverified ones. russiaukrainewar, ukraine, russia, false, war, nato, zelensky and stoprussia are the dominant co-occurring keywords. Ukraine, Russia and Putin are the top hashtags for sentiment representation. India, the USA and the UK contribute the highest tweets.

The study tries to explore the public sentiments expressed over Twitter related to Russia-Ukraine war.

The purpose of this paper is to examine the impact of instructional leadership, professional communities and extra “non-teaching” responsibilities for teachers on student achievement.

For a sample of 214 teachers from 88 primary schools in Pakistan, exploratory and confirmatory factor analyses were conducted to study the factor structure of the items. Correlation and hierarchical regression analysis was done to study the impact of the independent variables on student achievement; directly and through the mediation effect of teacher commitment.

The analysis of the data reveals that teacher commitment mediates the relationship between the independent variables and student achievement.

This study has implications for the education management and policy community in the sense that they should not engage teachers into non-teaching roles and promote instructional leadership within the school managers and help in development of teacher networks which will subsequently add to student achievement.

The role of teacher commitment in explaining the student achievement has not been researched extensively in the past. The study at hand intends to fill this research gap. Furthermore, the impact of extra “non-teaching” responsibilities on teacher commitment and subsequently the student achievement has not been studied before. Hence, this study is expected to open up a new dimension in this regard.