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Life insurance remains an essential part of financial and social security. The insurance penetration rate is high in the developed countries but very low in developing countries such as Malaysia, with only 4.8% penetration and extremely low underwritings. Therefore, this study aims to scrutinize the underlying determinants of a household purchase behaviour of life insurance.

The data generated from the administration of survey questionnaires to 325 households were analysed, using structural equation modelling to obtain the research purposes.

The analysis reveals that the knowledge of life insurance, attitudes towards life insurance, subjective norms (SN), trust and risk perception, affect the tendency of a household to purchase life insurance. The results of this study also highlight that households’ purchase-propensity influences the purchase behaviour of life insurance. Concurrently, the intention to purchase has mediating effects on explanatory variables and purchase behaviour.

This paper established awareness, SN, perceived behavioural control, trust and risk perception as the key determinants promoting positive attitudes towards purchasing life insurance. The findings of this study can be successfully applied to different stakeholders in a similar context. This study suggests that the managers of life insurance companies should adjust their policy guidelines in accordance with the positive relationship between the constructs and consumers’ intention to purchase life insurance.

The purpose of this study is to analyze the economic, social and environmental impacts of climate change on farmers' livelihoods and adaptive capacity while highlighting specific adaptation strategies in the local climate context.

Data were collected using a survey questionnaire and analyzed using partial least square structural equation modeling (PLS-SEM). Respondents were selected from seven farmer organizations (Pertubuhan Peladang Kawasan) located in Kedah, Malaysia.

The study revealed that farmers perceive the economic, social and environmental impacts of climate change. These adverse effects of climate change have an impact on their livelihoods as well as their adaptive capacity. The findings also demonstrated that farmers' livelihoods mediate the relationship between economic and environmental impacts of climate change as well as the adaptive capacity of farmers.

Climate change severely affects the agricultural sector as well as farmers' livelihoods. To minimize its effect, scientists and policymakers emphasize the improvement of farmers' adaptive capacity as well as appropriate adaptation methods. However, there is little research on how climate change affects the livelihoods of farmers in the context of Malaysia. Therefore, the results of the study will provide a new perspective for policymakers to formulate a better adaptation policy framework as well as select appropriate adaptation strategies for sustainable agricultural development.

In light of the rapid evolution of information and communication technology (ICT), every society is faced with many issues such as social exclusion, inequality and the digital divide. Hence, there is need to solve these complex challenges without comprising any development objective. A practical solution in this regard includes establishment of a sustainable model of community development. Therefore, this paper aims to identify the role of education in promoting the awareness on the use of ICT-based infrastructure among the general public to enhance their socioeconomic status. In addition, this study sets out to establish the nexus between socioeconomic status, ICT programme as well as the awareness of Kemaman Smart Community (KSC) development project.

This paper adopted a quantitative approach based on data collected through a survey on information literacy in KSC. The logit behavioural model and structural equation model were adopted as a quantitative technique to verify the objective of the study.

The result of the logit behavioural model showed that education, income and age have a positive impact on the KSC programme awareness. The SEM models revealed that income level and education (especially at the tertiary level) significantly enhance the awareness of KSC project. On the contrary, poverty remains regressive towards the community awareness of KSC programmess

Information literacy and knowledge-based programme promote a more inclusive development approach. Moreover, education, socioeconomic status, information literacy and knowledge-based programme are essential to develop a smart community towards achieving a high-income nation status. Future replication of smart community project in other parts of Malaysia may need to consider these factors for a comprehensive community development strategy.

KSC is the first smart city initiative by the government of Malaysia. Besides, primary data were used in this study. The findings of the study will provide academics and policymakers a better understanding of the smart city initiative.

The study attempts to establish the relationship between demographic dividend and GDP growth rate by utilising panel data from 1990 to 2017 in Bangladesh, India, Pakistan, Nepal and Sri Lanka.

This study employs the pooled OLS model, using data from the World Bank's database for the period 1990–2017 for five selected South Asia Association for Regional Cooperation (SAARC) countries.

The results reveal that demographic dividend affects economic growth in Bangladesh, India, Nepal, Sri Lanka and Pakistan, thereby supporting the demographic dividend hypothesis. For the country-specific analysis, it was also observed that demographic dividend impacts the economic growth of the five SAARC countries. In addition, growth of gross capital formation is highly significant for both aggregated and country-specific analyses. However, economic growth is unaffected by trade openness and unemployment rates. Moreover, the rate of labour force participation is negatively related to the GDP growth rate in the aggregated model.

This paper bestows insight into the fact that the impact of demographic dividend on the economic growth of the SAARC regions cannot be fully actualised if the workforce are underutilised. This region needs to adopt appropriate policies to strengthen the considerable benefits of demographic dividend on the economic growth.

The purpose of this study is to examine the impact of remittance inflow on households’ savings behaviour in Bangladesh. Remittances are considered as the countercyclical flow of income for its recipient economies. It surges the liquidity of the households receiving remittances, allows them to endure local economic shocks and facilitates them to practice productive activities. Remittances often form a big pool of resources for investment which complement the national savings and support the country’s growth through higher rates of capital accumulation. Therefore, if a significant portion of the remittance is used for savings it can lead to prominent economic growth in the long term.

Existing literature indicates remittance-receiving households have a greater propensity to use remittance income to meet basic consumption. However, based on the survey conducted by the Bangladesh Bureau of Statistics on remittances and household savings (SIR, 2016) and using the ordinary least square regression analysis method, to identify the connection between remittances and household’s saving (SIR, 2016) and using the ordinary least square regression analysis method, to identify the connection between remittances and household’s savings behaviour in Bangladesh.

The findings of this study represent remittances encourage households to pursue different kinds of savings in Bangladesh. Savings are made in the form of opening savings accounts, deposit pension scheme/fixed deposits/Bonds, insurance policies, also savings through non-governmental organizations, cooperative societies and savings at home. Other than remittances the demographic characteristics of the household head also influence the savings choices.

To enable the implementation of appropriate policies to boost savings, analysis from both perspectives; the household and the national level, requires strong vigilance and surveillance.

Organizations in many domains generate a considerable amount of heterogeneous data every day. Such data can be processed to enhance these organizations’ decisions in real time. However, storing and processing large and varied datasets (known as big data) is challenging to do in real time. In machine learning, streaming feature selection has always been considered a superior technique for selecting the relevant subset features from highly dimensional data and thus reducing learning complexity. In the relevant literature, streaming feature selection refers to the features that arrive consecutively over time; despite a lack of exact figure on the number of features, numbers of instances are well-established. Many scholars in the field have proposed streaming-feature-selection algorithms in attempts to find the proper solution to this problem. This paper presents an exhaustive and methodological introduction of these techniques. This study provides a review of the traditional feature-selection algorithms and then scrutinizes the current algorithms that use streaming feature selection to determine their strengths and weaknesses. The survey also sheds light on the ongoing challenges in big-data research.

The aim of this chapter is to highlight the importance of information and communication technology (ICT) knowledge (ICT-K) for female in socio-economic development in Middle East countries. Currently, men play major roles in the development of Middle East countries without heed being paid to women. The role for women is normally reserved to the home and child caring. Men continue to dominate power structures, education, finance, and travel. Overall levels of women’s ICT entrepreneurship are among the lowest in the Middle East although more women are studying ICT programs in the universities. Even statistics on the number of women entrepreneurs and women’s economic participation are often unavailable or incomplete in this region. Mainly, women’s entrepreneurship and economic participation are relatively limited due to gender-specific barriers to business creation and development, including cultural norms, civil law, or barriers in the business environment. This chapter investigates the challenges and constraints faced, and the support and opportunities available for these female entrepreneurs in ICT. This chapter also presents research on the growing phenomenon of female entrepreneurship in Middle East and suggests a number of ways in which institutions of state and trade – which often act as barriers to women practically running a business – could be overcome.

In as much as it is contested, the Belt and Road Initiative (BRI) is also unexplored, underdiscussed, and, as a result, misunderstood. Frequently viewed through the lens of international relations and global economy, the diverse dimensions of collaboration, including business and research-industry clusters, that BRI enhances, tend to be excluded from the analysis. In a similar manner, the role of the Arab Peninsula in the grand strategy underpinning BRI and its implementation is rarely discussed. BRI is a forward-oriented initiative, an attempt to reap benefits of developments and circumstances that are only nascent. This bears two potent implications. First, as China attempts to influence the context in which it operates, it is subject to change itself; the Chinese business sector evolution attests to that. Second, some of China’s not so obvious partners of today, including those in the Arab Peninsula, are about to turn into key interlocutors of tomorrow. BRI taps into opportunities thus created. This chapter elaborates on these issues and, against this backdrop, outlines how the remaining chapters included in this volume add to this discussion.

This research intends to investigate the determinants that affect consumers’ purchase intention of electric vehicles (EVs) in Malaysia using an extended theory of planned behaviour (TPB).

Survey data were collected with a sample size of 306. The research used SmartPLS 4.0 structural equation modelling tool to analyse the data. Reliability and validity tests (discriminant and convergent validity) were used and subsequently assessed the measurement and structural models. Mediation analysis was conducted to identify the role of the latent constructs.

The findings indicated that a green purchase attitude plays a complete mediation role in the effect of environmental knowledge on the purchase intention of EVs. In the same notion, the effect of price perception and availability of charging facilities on the purchase intention of EVs passes completely through perceived behavioural control. However, the subjective norm was an insignificant mediator of the impact between government support and EV purchase intention.

This paper helps to examine the latent constructs that impact purchase intention using environmental knowledge, government support, price perception and the availability of charging facilities. Successful green marketing and a sustainable consumerism framework are seen as a booster to promote the usage of EVs in Malaysia.

An extended TPB model has been employed in this research to study the effects of the above-mentioned constructs. The results show that most of the extended constructs are significant in explaining the purchase intention. The empirical results address the gap in the consumer green attitude and provide insight into this area of study.