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This paper aims to investigate the influence of investors’ attitudes on their decision-making. Two subjective perception factors, brand familiarity and perceived trust, were proposed to influence investors’ attitudes and decision-making. This paper also suggests the potential mediating effect of attitude on decisions on Islamic stock investment.

Data were collected using a primary data collection method. Questionnaires were used and distributed to a sample size of 250 Malaysian investors in the Klang Valley aged between 25 and 50 years old. Data were analysed using SPSS and Structural Equation Modelling–Partial Least Squares.

Seven hypotheses were proposed, and six were supported. The findings show that brand familiarity and perceived trust have a significant relationship with attitude. Brand familiarity and attitude have a significant relationship with investment decision behaviour. The relationship between perceived trust and attitude also reveals significant findings. However, perceived trust was found to have an insignificant relationship with investment decision behaviour. Mediation analysis shows that attitude mediates the relationship between brand familiarity and investment decision behaviour. Attitudes are also found to mediate the relationship between perceived trust and investment decision behaviour.

It is recommended that publicly listed companies emphasize and devote extra efforts to enhancing investors' familiarity with and favour their brand. In addition, to build an investor’s trust, a company must be consistent in dividend payments. Such action may improve the probability of the company’s stock being chosen for investment.

Subjective perceptions of investors' decision-making in Islamic stock investment have yet to be thoroughly explored in the literature, especially in the Malaysian context. In this paper, the indirect relationship between brand familiarity and perceived trust in attitude is tested. This paper contributes to consumer behaviour and marketing of Islamic stock investment research area.

This paper aims to provide bibliometric data from previously published research in Islamic fund management. Several categories, such as the most influential authors, the keywords and themes of the previously published research, were analyzed. Also, this paper provides a rigorous background for Islamic mutual funds research by synthesizing and reviewing the content of the previously published research to identify the gaps and provide future research direction.

Data were gathered from Scopus databases from the year 2007 until 2022. A total of 115 articles were found published over the period of 15 years. Three different software, namely, R-Studio, VOSviewer and Excel are used to analyze the data that depict, among others, the most impactful authors in the field, the top journals covering Islamic fund management research and the most cited document. Content analysis of the previously published research was also provided.

Publication in Islamic funds started gaining attention in the year 2012 and after. Collaborative works on Islamic funds are not strong yet among the contributory nations, although the USA and Malaysia contributed the highest number of publications. This study also found that there was a lack of research collaboration among authors in this research field, and most of the articles published were concentrated on the performance measurements of Islamic funds.

Researchers might find the results of this paper useful, as they provide a comprehensive analysis of the previously published research in the field.

While these findings gave an overview of the intellectual structure of the research field, they also have the potential to inspire scholars working on Islamic funds research to collaborate on new research projects. Managers can also use this research to further enhance the emergence of Islamic fund management.

This is a comprehensive paper that examines previously published research in the field of Islamic fund management. The findings of this research benefit practitioners and researchers wishing to embark on research in this niche area.

The purpose of this paper is to investigate the factors that affect one’s attitude and intentions towards family takaful schemes, apart from evaluating the mediating role of perceived trust in the relationship between perceived religiosity and attitude towards family takaful. Most prior studies have considered religiosity as an individual’s tendency to be religious. However, the present study employed perceived religiosity as one’s perception regarding shariah compliance practices of family takaful schemes. Moreover, this study examines the direct relationship between perceived religiosity and attitude and the indirect relationship between perceived religiosity and trust.

A sample of 224 salaried individuals was selected with an age range of 24–50. Variance-based partial least squares structural equation modelling was employed for data analysis.

The results showed that knowledge and perceived usefulness (PU) had significantly positive relationships with attitude towards family takaful schemes. Perceived trust completely mediated the relationship between perceived religiosity and attitude towards family takaful. Attitude was positively related to purchase intention regarding family takaful.

The findings of the study are important for Islamic financial institutions, especially for takaful companies to revamp their marketing strategies. With enhanced understanding regarding consumer behaviour, takaful companies can sell their products in a more effective manner to increase their market share.

Behavioural aspects regarding the purchase of Islamic insurance products have yet to be profoundly explored in the literature. The indirect relationship between perceived religiosity and trust is established in this study. The study contributes to the field of consumer behaviour and marketing of Islamic financial products.

This study assessed the roles of atmospheric harmony, human crowding and sensation seeking towards hedonic value to determine re-patronage intention amongst mall consumers. Additionally, this study aims to investigate the moderating roles of past experience amidst mall consumers within the context of Pakistan.

The study data were collected from 334 mall consumers of Rawalpindi/Islamabad, Lahore and Karachi by using the judgemental sampling technique. Data analysis was performed using SmartPLS 3 via partial least squares structural equation modelling.

This study revealed that atmospheric harmony and human crowding displayed positive and adverse impacts, respectively, on hedonic value. The sensation seeking tendencies exerted by the consumers displayed no significant impact on hedonic value in light of mall habitat. The hedonic value exhibited a mediating role for the relationships of re-patronage intention with atmospheric harmony and human crowding. Besides, a significant interaction was noted between hedonic value and past experience in light of re-patronage intention.

The proposed model embeds hedonic value as a second higher-order construct, apart from amalgamating environmental and psychological factors of the mall shoppers to determine their re-patronage intentions. The study outcomes posit that mall re-patronage intention is built on several factors that offer mall managers an opportunity to enrich the hedonic consumption experience among mall consumers, aside from ensuring their re-patronage intention.

This empirical analysis tries to examine determinants of private foreign direct investment (FDI) in Pakistan using the bounds test approach. Main determinants of FDI among them are the size of the market (Q) macroeconomic stability (r), political stability (PRS), real exchange rate (REX) and institutional quality (INQ).

This study used annual time-series data set starting from 1980 to 2016. This study has used time-series data with ARDL and error-correction model (ECM) and examined main determinants of FDI for Pakistan. The study used the Granger causality test (modified WALD test) to identify the causality among the variables.

Moreover, empirical findings indicate the long-run relationship between GDP, trade openness and institutional quality toward FDI. However, political instability, inflation and real exchange rate harm FDI in Pakistan. Furthermore, results of Granger causality indicate that the bidirectional causality running from FDI and Q toward FDI is significant, providing evidence of FDI-led growth hypotheses in Pakistan. This study determines the correlation between FDI and Q (GDP growth) related to the “feedback hypothesis” in the short and long run. This study also concludes that the short-run causal connection among FDI, REX, PRS, r and Q follows the “feedback hypothesis.” This describes that FDI, REX, PRS, r and Q variables are jointly determined and affected together.

This study also explores the causal association between FDI and its significant determinants, by using methods of Granger causality test and the approach of Toda-Yamamoto-DoladoLutkephol (TYDL) to examine the causal relationship and its directions among these variables.

This chapter examines the effect of the Regenerative Tourism Movement on the global industry and the role of Artificial Intelligence (AI) in driving sustainability and innovation. The Regenerative Tourism Movement represents a paradigm shift in the tourism industry, focussing on the interconnectedness of economic, social, cultural, and environmental well-being. This approach aims to generate positive impacts on local systems by fostering partnerships, diversity in local economies, and transformative experiences for travelers. This chapter explores the key principles and nature-based solutions associated with regenerative tourism. Additionally, it delves into the role of AI in the tourism sector, highlighting its potential to enhance sustainability practices, deliver personalised experiences, and streamline operations. Various AI tools and technologies, such as data analytics, machine learning, natural language processing, computer vision, IoT integration, recommender systems, optimisation algorithms, blockchain technology, and AR/VR, are discussed in the context of regenerative tourism. This chapter concludes by outlining the benefits of AI in sustainable and regenerative tourism, emphasising reduced environmental impact, enhanced efficiency, and improved customer service. It also highlights the challenges and considerations associated with AI adoption in the tourism industry. Recommendations for the integration of AI-driven solutions and future directions for research in this field are provided, aiming to inspire further exploration and implementation of AI in regenerative tourism.

This book is essential for anyone in artificial intelligence (AI) and destination management in the tourism industry or government. The book includes both theoretical and practical writings for stakeholders. In all chapters, we provide titles including AI, regenerative and green destinations, sustainable tourism, tourist motivations and expectations, good examples of smart destinations and regions, the regeneration of the tourism industry via AI, rethinking tourism activities and products, current issues in robots, self-service technology, effect of pandemic on smart destinations, sustainable gastronomy and regenerative tourism and tourism issues are discussed in the management plans of the centralisation. This book provides cases and empirical studies that deal in depth with the current situation, challenges, solutions and future strategies after technological development of tourism and increasing interest on smart destinations from a responsible perspective, for readers with an equitable interest or involvement with the organizations in inquiry.

This paper aims to model different causal relations among factors interacting with labour productivity in order to recognize the most important factors influencing and influenced by it.

Top 60 factors affecting labour productivity were determined and grouped into 5 major groups by reviewing previous research and interviewing relevant experts. The interactions of factors were modelled using system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were then applied for identifying the most crucial factors influencing and influenced by labour productivity through the decision-making trial and evaluation laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian construction industry.

The results indicated that factors such as fatigue, lack of labour motivation and lack of skill are the most influencing, and factors such as schedule delay and inflation in the cost of execution are the most influenced by labour productivity. In the end, a set of recommendations to improve construction labour productivity was also presented.

The main contribution of the study is proposing a novel method which is capable of providing insights into how causes and effects of construction labour productivity are interrelated. Furthermore, the proposed method makes this study distinct from previous research in the light of prioritizing factors and offering recommendations according to the interrelationships among factors.

Considering the speedy growth of Islamic finance and limited research work on Muslim behavior regarding Islamic Banking, this study aims to investigate to comprehend the stimulus of religiosity on customer’s behavior.

A conceptual model is developed on existing literature. The key dimensions of religiosity in the model include practice, knowledge, experience and consequences to capture the whole religiosity of customers. Model of the study investigates the impact of customer’s religiosity on their behavior in decision-making about selection of Islamic bank. Analysis of the study is based on the sample of 370 customers of Islamic banks from District Nowshera Khyber Pakhtunkhwa, Pakistan. The data for the study collected through random sampling by a comprehensive survey questionnaire. Binary logistic model is used to test the data for statistical analysis.

The key findings of the study suggest that religiosity influence customer behavior positively in decision-making regarding Islamic finance. Service standards of Islamic banking has also significant impact on customer perception, while the financial education of the customers has insignificant impact on customer behavior.

This study mainly focused on the curiosity of the customer religious commitment, so religiosity is a vast phenomenon; there are deep sections in each dimension of religiosity, so further study is suggested for the comprehensive capture of each dimension of religiosity.

The results of the study have a great importance for the managers of Islamic finance industry to identify and detect the potential customers and divide the target market of banking industry on the base of religiosity. Furthermore, the study may bring significant managerial suggestions for marketing planners and can help them in market segmentation strategies.

The study examined the association between Muslim religiosity and Islamic banking customer’s selection behavior. This study spread the understanding of religiosity and its impact on Islamic banking customer’s behavior. Furthermore, the study is valuable to discover the level to which religiosity determines the inclinations of customers. This study helps marketing practitioners and researchers to grow their knowledge about customer’s motives in terms of religious commitment.