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The present study intends to measure buying intention of Generation Z (Gen Z) on social networking sites (SNSs) incorporating perceived risk with the social commerce adoption model (SCAM).

Data were collected via an online questionnaire, and the study used a total of 349 accurate and useable responses. The population of the study includes Indian young consumers coming from the Gen Z cohort. Data were analyzed using SPSS 20 and AMOS 22.0. The proposed hypotheses were statistically tested.

The empirical results show that perceived risk is a significant and strong predictor of perceived usefulness that, in turn, negatively influences buying intention. Among all the constructs of SCAM, perceived usefulness is the most influential and strongest predictor of buying intention. The proposed model explained approximately 34% of the variance in the behavioral intention.

Based on the findings of this study, many theoretical and practical implications may be inferred that can be used to make recommendations to social commerce companies and help them understand the buying intention of Gen Z.

There are many studies that have examined buying intention and a few have measured it on Gen Z. The present study is novel in itself as it has measured the buying intention of Gen Z using the SCAM in the Indian context. Hence, the present research attempts to comprehend the variables influencing buying intention and analyses the relationship between these factors in the social media setting.

Coronavirus disease 2019 (COVID-19) pandemic has led to unprecedented mental health repercussions in the lives of every individual including university students. Therefore, study on students’ psychological state and its associated factors during the pandemic are of importance. This study aims to discuss the aforementioned issue.

An online survey was done on a total of 207 university students of Pakistan to collect information on socio-demographic characteristics, concerns or fears amidst COVID-19 and mental distress. Validated tools; Perceived Stress Scale (PSS), Generalized Anxiety Disorder Scale (GAD-7) and Patient Health Questionnaire (PHQ-9)-Depression were used to assess stress, anxiety and depression, respectively.

Around 14% of the university students were experiencing severe stress and anxiety, while 8.2% had severe depression. The authors found that stress among university students was related to psychiatric illness or symptoms (OR = 5.1: 1.1, 22.9) and unpredictability due to the pandemic (OR = 3.7: 1.2, 11.2). The significant determinants of anxiety were psychiatric illness/symptoms (OR = 6.6: 3.4, 12.9), implementation of public health measures (OR = 3.7: 1.1, 11.6), employed mothers (OR = 2.4: 1.1, 5.0) and lack of support from university administration (OR = 2.2: 1.0, 5.0). While the factors associated with depression included psychiatric illness or symptoms (OR = 8.4: 3.3, 21.5), unpredictability due to pandemic (OR = 6.8: 2.2, 20.7), impaired social support system (OR = 3.7: 1.3, 10.4) and studying without a scholarship (OR = 2.1: 1.0, 4.4).

These findings call for an urgent need to develop appropriate interventions and educational programs that could address the psychological needs of students.

The study directs the role of university and faculty in dealing the mental health needs of the student in COVID-19 pandemic time.

Educational programs are important that could address the psychological needs of students in COVID-19 pandemic.

University students reported mental distress during COVID-19 pandemic which shows that younger people are at risk of COVID-19 repercussions. Moreover, several stressors (i.e. impaired social support system and lack of support from universities) were revealed that could be mitigated by implementing appropriate strategies.

The purpose of this paper is to explore external factors: organization technical support, organization administrative support, organization infrastructure and resources, and organization ICT policy’s effect on the commitment in use of technology among the faculty staff Hail university, Saudi Arabia.

A cross-sectional survey approach was used to collect data. A sample of 300 fulltime employees, having administrative and teaching responsibilities participated using a self-completion questionnaire. The data were analyzed using exploratory factor analysis (EFA), correlation and multiple regressions to determine the impact of external factors on the commitment in use of technology.

Overall, the results provided evidence that organization technical support, organization administrative support, and organization infrastructure and resources have a significant positive impact on the commitment in use of technology. However, organization ICT policy has an insignificant negative impact on the commitment in use of technology. The findings could be generalized on other public sector universities of the Kingdom of Saudi Arabia.

The data were collected from one public sector university of Hail province, the Kingdom of Saudi Arabia. Only four external factors were taken into consideration in investigating its influence on the commitment in use of technology. There could be other external/environmental factors which might be useful to underpin the theory and advance literature.

In-service and trainee faculties should take an advantage of using learning management system. Faculty should create a positive learning environment in their online classes so the learners can take a benefit out of the immense investment on ICT by ministry of higher education. Apart from giving training to teaching staff in use of technology, learners should also be given a platform to increase and improve their digital literacy. Workshops can be conducted frequently for both faculties and learners. Faculty can offer additional and out of the class support to their reluctant and weak students in order to assist them in the use of technology.

Technology integration after COVID-19 outbreak has significantly changed the education sector throughout the world. The use of technology now is unavoidable at primary, secondary and at tertiary level. This study provides an exclusive viewpoint concerning the external/environmental evidence based findings that have not been investigated empirically in the Saudi Arabian context. The current study also provides statistically a theoretical five-component model to understand the phenomena in the field of information communication technology.

The purpose of this study is to investigate the phonological metathesis phenomenon in the early speech of Arabic-speaking children. Based on analysis of a longitudinal data from 11 children's speech, the study mainly aims at investigating (1) the characteristics/nature of the phonological metathesis process in early child speech and (2) how it is different from adult phonological metathesis. The study explores the causes behind the metathesis phonological process in child speech.

This paper explored the phonological metathesis phenomenon based on a longitudinal study of 11 monolingual Arabic speakers of Yemeni-Ibbi Dialect (YIA) and cross-linguistic data from various languages.

The data analysis showed that metathesis phenomenon in child speech has several characteristics. It occurs at an early age, at 2 years and decreases with age. It was found that metathesis occurs mostly in disyllabic and trisyllabic words or more complex syllabic words, but metathesis rarely occurs in monosyllabic words in children's speech. The results indicated that unlike metathesis in adult speech, metathesis in children's speech occurs in undeliberate, slow, fast speech. The study explored that adjacency of sounds with similar phonological features, the ease of pronunciation, or the sonority effect are the motivations that trigger metathesis phenomenon to occur in child speech.

In the literature, the metathesis phonological process has got a little attention from researchers, and this is due to the rare cases of metathesis and the inconsistency of cases and the occurrence of metathesis. However, there is no consensus among the researchers about the causes of emergence and the occurrences behind the metathesis process. However, this study argues that the metathesis process has unique characteristics in child speech in comparison to adult speech and that there are some causes for metathesis to occur in human speech particularly in children's data such as adjacency of sounds with similar phonological features or sonority effect.

The purpose of this paper is to explore the contending role of important external inflows on the economic growth of Pakistan economy. The main purpose behind focusing on Pakistan is that it is receiving significant inflows from different international sources such as International Monetary Fund, World Bank and Asian Development Bank.

The study adopted the autoregressive distributed lag cointegration approach for the purpose of exploring the long-run cointegrating relationship among the variables. As Pakistan Government had been implementing some major liberalization policies during 1990s, data from 1976 to 2018 is used to estimate the specified models to reflect the impact of the surge of foreign inflows occurring from that time. In addition, error correction model is estimated for examining the short-run relationships.

The findings revealed the significant role played by different inflows in accelerating the economic growth. According to results, in the long run, all inflows, for example, Foreign direct investment (FDI), debt, official developdment assistance and remittances, have influenced significantly and positively the economic growth. The two control variables such as inflation and employment level included in the model have also played their expected role in the growth process. In the short run, some of the variables such as remittances, FDI and inflation rate have lost their significance level while for debt, aid and employment level, the signs of their coefficients become reversed.

Based on the findings, the study suggests the policymakers of Pakistan economy to liberalize the economy and attract more inflows from the external sources to accelerate economic growth.

To the best of the authors’ knowledge, this is the first comprehensive empirical study on the role of foreign inflows in the process of economic growth in the context of Pakistan economy.

This paper investigates the impact of governance on economic growth, considering the spatial dependence between countries.

The study employs spatial regression models to estimate the impact of governance on economic growth in a sample of 116 countries worldwide in 2017.

The findings imply that the influence of governance on economic growth is statistically significant. Moreover, if all other economic control variables are constant, 1% increase in governance raises the economic growth on average by 1% at 10%, 5% and 1% significance levels, respectively. Furthermore, each country's rise in economic growth favorably and substantially influences the economic growth of its bordering nations. The unobserved characteristics or similar unobserved environments in adjacent countries also affect its economic growth.

This study adds to the discussion and investigation of the influence of governance on economic growth by considering the spatial dependence between countries, which is lacking in the literature.

A mobile ad hoc network (MANET) enables providers and customers to communicate without a fixed infrastructure. Databases are extended on MANETs to have easy data access and update. As the energy and mobility limitations of both servers and clients affect the availability of data in MANETs, these data are replicated. The purpose of this paper is to provide a literature review of data replication issues and classify the available strategies based on the issues they addressed.

The selected articles are reviewed based on the defined criteria. Also, the differences, the advantages and disadvantages of these techniques are described. The methods in the literature can be categorized into three groups, including cluster-based, location-based and group-based mechanisms.

High flexibility and data consistency are the features of cluster-based mechanisms. The location-based mechanisms are also appropriate for replica allocation, and they mostly have low network traffic and delay. Also, the group-based mechanism has high data accessibility compared to other mechanisms. Data accessibility and time have got more attention to data replication techniques. Scalability as an important parameter must be considered more in the future. The reduction of storage cost in MANETs is the main goal of data replication. Researchers have to consider the cost parameter when another parameter will be influenced.

Data replication in MANETs has been covered in different available sources such as Web pages, technical reports, academic publications and editorial notes. The articles published in national journals and conferences are ignored in this study. This study includes articles from academic main international journals to get the best capability.

The paper reviews the past and the state-of-the-art mechanisms in data replication in MANET. Exclusively, data replication’s main goal, existing challenges, research terminologies and mechanisms in MANET are summarized using the answers to the research questions. This method will help researchers in the future to develop more effective data replication method in MANET.

This paper aims to facilitate researchers, practitioners and policymakers in understanding and managing the impact of the black swan event – COVID-19 on work from home in the social science subject area through bibliometric analysis. For this purpose, the authors analyzed publications from the Scopus database.

In this paper, the authors conducted bibliometric analysis based on two major techniques: performance analysis and science mapping. The authors applied VOSviewer and Biblioshiny to address the research questions of present study. The study explored the hot trend topics and summarized them with discussions and implications.

Based on the analysis of 500 publications, the authors present an overview of performance and science mapping from the perspective of different aspects such as publication output and authors. Also, authors visualized the text mining by co-word analysis forming nine clusters as well as mapping trend topics. The existing publications were divided into ten clusters according to different keyword analyses: Leadership, Mental health, Technology, Crisis Management, Gender, Challenges, well-being and Work-life balance.

Sample from the Scopus database is not exhaustive, and the dataset may be skewed due to the adoption of the selection criteria. The authors’ concentration was on academic publications in English that excludes potentially intriguing and pioneering studies done in other languages. The study area was limited to social science only.

The paramount lesson is that the COVID-19 quandary is multifaceted, necessitating not simply adaptations to current strategies but also an understanding and analysis of advancements in the economy, commerce and society. According to the analysis presented above, to overcome the COVID-19 “black swan event”, managers must think ahead. The analysis gives leaders and decision-makers a range of useful information on work from home (WFH) difficulties in COVID-19, as well as initiatives and revisions that must be implemented at the economic, social and scientific aspects when dealing with such uncertainties. The findings also aid managers in forecasting the need for sophisticated technology, organizational agility and resilience to attain the desired direction of progress.

With a focus on addressing WFH during COVID-19 from social science perspective and to synthesize its future research directions systematically, the authors performed Bibliometric analysis both with VOSviewer and Biblioshiny, in order to enhance the overall analysis for higher accuracy and more reliable results that is unique value addition and contribution to the existing literature.