Search results

Using bibliometrics, this study aims to explore the intellectual structure of social segregation research, key contributors, thematic areas and hotspot topics.

A bibliometric analysis was performed for more than 15,000 research papers listed in one of the famous, rich and widely used scientific databases: Web of Science (WoS). This review approach was used to identify social research hotspots on segregation, intellectual structure, borders and development trends. VOSviewer and Gephi software were employed for mapping and analysis.

The study indicates a marked increase in segregation research, particularly from a spatial/urban perspective. The study reveals the interrelationship between segregation and many other social concepts, such as social equality, cohesion, integration and inclusion. In conclusion, addressing the ramifications resulting from the multiple forms of segregation will help in implementing social policies and evaluating their impact on achieving inclusive social development in general and the 2030 agenda of Sustainable Development Goals (SDGs) in specific.

This study remains limited to the precision and thoroughness of the bibliographic data gained from WoS.

This study is valuable for readers to gain rich insights into the state of research on social segregation. It also provides ideas for future research that prospective authors and interested research and academic institutions can investigate.

In a dynamic environment, understanding the consumer’s behavior in an online market is critical for the development of online retailers’ strategies. In Egypt, although the number of internet users is growing rapidly, online shopping is at an early stage of development. In addition, there is a lack of knowledge about the behavior of Egyptians toward online shopping and the factors that influence their behavior.

To demonstrate the applicability of the technology acceptance model (TAM), this research applies an extended TAM to analyze the factors that impact the Egyptian consumers’ online shopping behavior. Structural equation modeling is used for fitting the data and testing the hypothesis.

Findings revealed that perceived enjoyment, perceived ease of use, social norm and perceived risk have significant influences on the respondents to shop online; while the site language effect was insignificant.

This study has mainly four limitations. The first concerning the sample, it should cover diversified areas other than Cairo and should include respondents from different education levels. Future studies may consider using a national sample of current and potential online shoppers to be able to generalize the results. Second, the questionnaire should include questions about the levels of education and the level of income to analyze if they influence actual online shopping. Third, although the benefits of using online surveys such as reducing the costs and time and collecting data more accurately compared to paper-pencil surveys, the low response rate may lead to non-response bias. Finally, constructs such as website content, design, and response could be added to the TAM to examine different aspects of website functionalities on the actual shopping.

Considering that online shopping is still at the early stage of development in Egypt, there is a need to examine the factors that influence the behavior of Egyptian consumers while adopting online shopping. To fill in this gap, this study is analyzing the factors impacting the consumers’ decisions to shop online by examining a sample of students from the Faculty of Economics and Political Science, Cairo University. This study will contribute to providing an empirical application of the TAM on the Egyptian consumers in addition to, enhancing the knowledge of electronic retailers about the factors that drive consumers toward shopping online.

This study aims to understand the determinants of online pharmacy or epharmacy adoption among young consumers in Bangladesh using an extended unified theory of acceptance and use of technology (UTAUT) model.

A structured Google Docs questionnaire was sent out to 420 respondents using messenger service; 285 useable responses were finally extracted. Data were empirically validated using the two-staged structural equation model (SEM)-neural network analysis approach.

The robustness of the classical UTAUT model remains intact in the context of online pharmacy adoption. Among the integrated variables, while perceived trust and health literacy were found significant, perceived risk and personal innovativeness were found insignificant in determining consumers’ intention to adopt online pharmacy. The neural network analysis provided further verification of these findings derived from the SEM.

The findings of this study would facilitate in devising better strategies for entering or expanding online pharmacy business in developing countries such as Bangladesh.

The originality of the current study relates to the two-fold contributions of this study. First, while this study extended the classical UTAUT model by incorporating perceived risk, perceived trust, personal innovativeness and health literacy, the inclusion of the following two variables is fresh within the extant online pharmacy literature. Second, by using a two-staged SEM-neural network analysis approach, this study advances the past studies on e-commerce adoption in pharmaceutical settings and provides a general understanding of the customers of developing countries.

The COVID-19 outbreak has disrupted the habits of customers as well as their shopping behavior. This study aims to critically examine the associated benefits and challenges of online shopping from the perspective of customers in the COVID-19 pandemic.

A systematic review of the relevant literature published between 2020 and 2022 was conducted via performing comprehensive search query in leading scholarly databases “Scopus and Web of Science” with the restriction of their predefined subject category of “Business.” Overall, 30 research studies were selected for the review and a significant number of studies were published in 2021 (n = 15).

The research findings revealed that customers are motivated to shop online because of perceived benefits such as time-saving, convenience, 24/7 accessibility, interactive services without physical boundaries, trust, website attractiveness and cost-saving. However, challenging factors such as financial scams, privacy concerns, poor quality of products and services, fake promotions and reduced social interaction have hindered the growth of online shopping. The recommendations regarding designing marketing strategies, secured transaction, multiple payment options, trust building, protection of privacy, promotion via social media, effective mechanism to secure and timely delivery of product are helpful to improve the service quality of online shopping.

The outcomes of this research are valuable to online retailers and policymakers, as it highlights how the benefits can enhance customers’ shopping intentions and minimize the impact of associated challenges. This study also recommends the redesigning of user-friendly interfaces of online shopping websites and ensures their privacy, security and performance on a regular basis.

In both developed and developing countries, the COVID-19 pandemic has created a new generation of first-time online shoppers. More significantly, academics and practitioners believe that the shift to online shopping will continue in the years to come. Therefore, the purpose of this study was to examine the role of digital marketing tools as a moderator variable between the independent variables (i.e. consumption patterns, lifestyle, level of income, and payment methods) and dependent variable (i.e. the consumer's attitude towards online shopping) during the COVID-19 pandemic time in Arab countries.

A structured and self-administered online survey has targeted online shopping users in six different Arab countries based on a snowball and convenience sample. In total, 577 useable questionnaires were analyzed.

The findings show a significant positive relationship between the independent variables (i.e. consumption patterns, lifestyle, level of income, and payment methods) and the dependent variable (i.e. consumer attitude towards online shopping). Furthermore, the results reveal that the positive relationship between the independent and dependent variables is strengthened by the existence of the moderator variable, the digital marketing tools.

This study was based on cross-sectional data collection, rather than a longitudinal study and collected data from six Arab countries. It is suggested that future research should expand the survey in more similar countries to broaden the database for further generalizations and use a longitudinal approach to better assess changes in attitudes over time. In addition, this study focused on the issue from a consumer's viewpoint, so it is recommended that future research could be conducted, but from the viewpoint of marketing managers.

This study represents a further deeper insight into consumer behaviour; it advocates giving more emphasis on organizations' awareness of their customers' consumption pattern, lifestyle, level of income, and payment method. The findings of this study can help managers and marketers to design a promotional mix to improve consumer's behaviour towards online shopping. The results suggest paying more attention to the high relevant effect of the consumption pattern, lifestyle, level of income, and payment method on the consumer attitude towards online shopping.

This paper is one of the few attempts that investigated consumer attitudes toward online shopping in the Arab world. Importantly, it identified the drivers of online shoppers' attitudes in the Arab world. This may be used to develop and implement e-marketing strategies. Furthermore, this paper examines the role of digital marketing as a moderator variable to provide empirical evidence to the body of knowledge of these drivers during the COVID-19 pandemic time in the Arab countries.

Purpose: The best way of improving youth entrepreneurs’ success rates is to provide youth entrepreneurs with quality support, skills, and resources to be better equipped and willing to make any decision that makes them creative with time. This chapter explores youth entrepreneurship in the MENA region as educating young people about entrepreneurship is crucial today and is about developing new businesses in the region.

Design/methodology/approach: The chapter mainly aims at the role of academia in boosting entrepreneurship among young people in the UAE. Then the literature provides insights on the substantial gender effect on becoming an entrepreneur and the region’s job market.

Findings: Our research indicates that the global economy is witnessing a sudden rise in entrepreneurship in all life areas, based on current world dynamics. Thus, young people must learn and accomplish skills that promote creativity for doing business. For young people to have the requisite skills to start their businesses, educational programs must be in line with industry requirements.

Originality/value: This chapter of the book focuses on youth entrepreneurship, which would help upcoming researchers and students grasp good knowledge about entrepreneurship’s importance. It also recommends relevant research areas on MENA youth entrepreneurship support programs.

This study aims to investigate the factors influencing the adoption of online pharmacies in Qatar using the unified theory of acceptance and use of technology-2 (UTAUT-2) framework. Specifically, this study examines the impact of performance expectancy, effort expectancy, social influence, hedonic motivation, habit, technology trust, perceived risk and users’ level of awareness of behavioral intention, which in turn affects the adoption of online pharmacies. Furthermore, this study explores the moderating role of word-of-mouth (WOM) recommendations on the relationship between behavioral intention and online pharmacy adaptation.

This study adopted a descriptive, quantitative approach to investigate the UTAUT-2 model in the context of consumers’ adoption of e-pharmacy in Qatar. Through convenience sampling, 455 responses were collected from regular customers accessing online pharmacy services. The data were analyzed using Smart-PLS 3.2 software to examine the hypothesized relationships.

The results showed that WOM recommendations significantly enhanced the relationship between behavioral intention and adopting online pharmacies in Qatar. This study identified the factors that may hinder or enable the adoption of online pharmacies, including performance expectancy, effort expectancy, social influence, hedonic motivation, habit, technology trust, perceived risk and users’ level of awareness.

This study contributes to the existing literature on technology acceptance by extending the UTAUT-2 model and recognizing three additional variables (perceived risk, technology trust and technology awareness). These need to be investigated against UTAUT-2 variables to detect the significance of their impact on adapting the e-health concept in Qatar. The potential for cultural change to accelerate the adoption of online pharmacies is highlighted. Future research should explore the role of moral and cultural factors in technology adoption.

The results underscore the economic and social significance of e-pharmacy adoption, particularly within the context of a developing country. Considering the positive intentions expressed by individuals toward e-pharmacy, it becomes crucial for managers and decision-makers to make strategic choices to address any challenges that may arise. Policymakers are encouraged to enhance their services and implement various development initiatives to expand e-pharmacy accessibility and availability.

This study builds upon previous research on e-commerce in the pharmaceutical industry and provides a comprehensive understanding of customers in developing countries. Extending the UTAUT-2 model and identifying additional variables contributes to the knowledge of e-health concepts in Qatar. The findings have practical implications for developing strategies to promote online pharmacy adoption in Qatar and other countries.

Children diagnosed with autism spectrum disorder (ASD) and their families especially their mothers face numerous and pervasive challenges. Difficulties to access quality care, financial burden, issues of adulthood and their child’s behaviors may produce significant stressors to mothers. This study aims to assess perceived stress among mothers of children with ASD in Egypt.

A cross-sectional study was conducted in Mansoura University Hospital, Egypt on 94 mothers of children with ASD using a structured questionnaire of the socio-demographic and clinical features of the studied mothers and their children and the perceived stress scale (PSS).

The mean total PSS score of mothers was 31.97 ± 12.39 and the level of autism had a statistically significant relation with stress perceived by the studied mothers.

The findings in this study were based on caregivers’ self-reporting. As such, inaccurate reporting might have biased the findings. The main limitations of this study include non-participation and dropout. During data collection, some mothers declined to participate in the study. Also, the current study was conducted in one hospital. This represents a loss of valuable information and may weaken the generalizability of the current study findings. Another limitation is the use of a convenience sample in the study. With the use of convenience sampling, there is an increased risk of bias, as study participants may not accurately reflect the characteristics of the total population.

Caregivers’ education programs through media and press should be developed for mothers of children with ASD to help those who experience levels of stress by presenting knowledge about ASD and treatment and training on adaptive coping methods and teaching communication and problem-solving. Recognizing levels of stress and parent counseling may be a useful strategy. Regular periodic meetings should be conducted between mothers and hospital personnel to promote proper communication. One key policy implication, this paper can derive from this study is the need for cooperation between the Ministry of Health, social welfare and other relevant governmental and non-governmental organizations to provide support for families of individuals with ASD such as financial aids. It is also recommended that future study would benefit a larger sample to enhance external validity. As well, future qualitative research is recommended to more fully understand the lived experience of mothers of children with ASD.

This study provides evidence that mothers of children with ASD experienced high perceived stress. Caregivers’ education programs through media and press should be developed in Egypt for mothers of children with ASD.

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.

The tech savvy generation Z consumers constitute a significant market of online shopping. Understanding their shopping behavior is thus a pressing need to expand the e-commerce business. Under this backdrop, the study aims to predict the online shopping behavior of generation Z customers in Bangladesh.

This study used the theory of consumption values (TCV) along with shopping enjoyment to understand the online shopping behavior of generation Z. A structured set of questionnaire was used to gather the responses on a five point Likert scale. A total of 411 valid responses were considered after discarding incomplete responses. The collected data were analyzed using the partial least squares structural equation modeling (PLS-SEM) approach with the help of smart PLS 4.0 software.

The statistical findings reveal that functional value is the most significant determinant of online shopping behavior among generation Z followed by social value, conditional value and epistemic value. The study also reveals that relationship between emotional value and online shopping behavior and relationship between conditional value and online shopping behavior is moderated by shopping enjoyment.

The paper contributes to the consumer behavior literature as the findings provide a comprehensive model from values perspectives to understand online shopping behavior among Gen Z customers in a developing country like Bangladesh. The findings of this study offer important insights to the marketers also since it reveals the values consumers consider while shopping online. The findings might help practitioners develop their online strategies to expand the business.