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1 – 10 of 33Sonia Ben Jaafar and Virginia Bodolica
Philanthropy has developed into a trillion-dollar industry with substantial transnational funds. Scholarly research on philanthropic leadership has experienced substantial growth…
Abstract
Purpose
Philanthropy has developed into a trillion-dollar industry with substantial transnational funds. Scholarly research on philanthropic leadership has experienced substantial growth since the 1990s, but as an academic field, it remains ill-defined. The purpose of this study is to examine the current state of the literature on philanthropic leadership to determine the extent to which the field needs to be further specialized.
Design/methodology/approach
Relying on the VOSviewer software version 1.6.15, the authors conducted a bibliometric analysis of 470 identified articles published between 1991 and 2021 to uncover the most influential articles, academic outlets and scholars in the field.
Findings
There is a noticeable lack of literature that accurately reflects the overall practice of philanthropic leadership. Most specialized research concentrates on the influence of corporate leaders in using philanthropic activities as a means of achieving business objectives. However, it is essential to recognize that leadership plays a critical role in effective philanthropy, which benefits various stakeholders and produces favorable spillover effects. The findings indicate that existing literature tends to focus on the influence of corporate leaders on philanthropic activities and their correlation with business outcomes.
Originality/value
This study contributes to the field by offering insights into the intellectual structure of the field and assists with the identification of new research directions within the philanthropic leadership domain. Further scholarly consideration is needed to understand the practice of philanthropic leadership.
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The main purpose of this study is to develop an environmental mitigation behavior model (EMBM) for predicting waste reduction behaviors among young coastal tourists in Bangladesh…
Abstract
Purpose
The main purpose of this study is to develop an environmental mitigation behavior model (EMBM) for predicting waste reduction behaviors among young coastal tourists in Bangladesh by modifying and extending the theory of planned behavior (TPB).
Design/methodology/approach
The research has been administered by applying mixed method (both qualitative and quantitative), where study-1(qualitative) identifies factors, study-2 (quantitative) verifies factors by employing exploratory factor analysis (EFA) approach, and study-3 confirms factors influencing waste reduction behaviors among young coastal tourists by employing confirmatory factor analysis (CFA). Study-2 collects 385 valid responses and analyzes by applying the principal component analysis (PCA) technique with the Varimax rotation method by using SPSS-v25, and Study-3 collects 501 valid responses and analyzes by partial least structural equation modeling (PLS-SEM) technique, using Smart PLS3.3.3.
Findings
The study findings have revealed that waste reduction intention and perceived ecological balance significantly influence waste reduction behaviors among young coastal tourists in Bangladesh. Further, waste reduction intention is significantly predicted by mitigation attitude, resource conservation norms and environmental perceptions. Furthermore, environmental ethics significantly affects mitigation attitudes and resource conservation norms.
Practical implications
The study offers several insightful implications (e.g. incentives, charging fines, environmental awareness-related knowledge-based campaign, etc.) for policymakers and industry operators, which may be a dynamic cost-effective mechanism for reducing waste at coastal tourism destinations in Bangladesh as well as in the world.
Originality/value
This study addresses the need for developing a model that can explain waste reduction behaviors among young coastal tourists in Bangladesh, and thus, the study uniquely postulates the theory of environmental mitigation behavior for predicting waste reduction behaviors by modifying and extending the TPB.
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Abdulla Al-Towfiq Hasan and Rukaya Aziz
The purpose of this paper is to develop the theory of environmentally responsible behavior by extending the theory of planned behavior to empirically examine waste reduction…
Abstract
Purpose
The purpose of this paper is to develop the theory of environmentally responsible behavior by extending the theory of planned behavior to empirically examine waste reduction behaviors among young coastal tourists in Bangladesh.
Design/methodology/approach
Through review of literature, in-depth interviews and survey, the study is conducted. Initial survey collects 355 data, which is used for exploratory factor analysis to develop constructs and its measurement items. After preparing the formal survey questionnaires, another survey is conducted and collected 403 usable responses. The subsequent valid responses are used for confirmatory factor analysis through structural equation modeling, using Smart PLS 3.3.3.
Findings
The results of this study reveal that waste reduction behavior is significantly affected by waste reduction intention, and then subsequently waste reduction intention is significantly affected by environmental concern, climate change concern and healthy environmental norms of young coastal tourists in Bangladesh.
Practical implications
The findings of the study will benefit industry operators and policymakers by understanding the factors that are crucial for influencing young costal tourists’ environmentally responsible behaviors (i.e. waste reduction behaviors). Eventually, the findings may assist industry operators and policymakers to develop strategies to attract more young tourists to the coastal tourist destinations in Bangladesh.
Originality/value
The importance of environmentally responsible behavior has received a significant attention in present decade. Consistent with this phenomenon, this study uniquely develops the theory of environmentally responsible behavior and establishes the link between environmental concern, climate change concern, healthy environmental norms, waste reduction intention and waste reduction behavior in coastal tourism domain in Bangladesh.
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Farouq Sammour, Heba Alkailani, Ghaleb J. Sweis, Rateb J. Sweis, Wasan Maaitah and Abdulla Alashkar
Demand forecasts are a key component of planning efforts and are crucial for managing core operations. This study aims to evaluate the use of several machine learning (ML…
Abstract
Purpose
Demand forecasts are a key component of planning efforts and are crucial for managing core operations. This study aims to evaluate the use of several machine learning (ML) algorithms to forecast demand for residential construction in Jordan.
Design/methodology/approach
The identification and selection of variables and ML algorithms that are related to the demand for residential construction are indicated using a literature review. Feature selection was done by using a stepwise backward elimination. The developed algorithm’s accuracy has been demonstrated by comparing the ML predictions with real residual values and compared based on the coefficient of determination.
Findings
Nine economic indicators were selected to develop the demand models. Elastic-Net showed the highest accuracy of (0.838) versus artificial neural networkwith an accuracy of (0.727), followed by Eureqa with an accuracy of (0.715) and the Extra Trees with an accuracy of (0.703). According to the results of the best-performing model forecast, Jordan’s 2023 first-quarter demand for residential construction is anticipated to rise by 11.5% from the same quarter of the year 2022.
Originality/value
The results of this study extend to the existing body of knowledge through the identification of the most influential variables in the Jordanian residential construction industry. In addition, the models developed will enable users in the fields of construction engineering to make reliable demand forecasts while also assisting in effective financial decision-making.
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Shekhar Mondal and Abdulla Al-Towfiq Hasan
The purpose of this paper is to explore factors and their impacts influencing online grocery shopping intentions among customers in the post COVID-19 situation. Moreover, the…
Abstract
Purpose
The purpose of this paper is to explore factors and their impacts influencing online grocery shopping intentions among customers in the post COVID-19 situation. Moreover, the study aims at evaluating the mediating roles of shopping habits during COVID-19 between perceived usefulness, perceived ease of use and post COVID-19 online grocery shopping intentions.
Design/methodology/approach
Based on a review of the literature and collection of 401 useable valid responses, the study was conducted through structured questionnaires applying personal interview technique. The subsequent analysis was conducted through partial least squares structural equation modeling (PLS-SEM) using Smart PLS 3.3.3.
Findings
The study findings revealed that perceived usefulness, perceived ease of use and shopping habits during COVID-19 have a significant influence on post COVID-19 online grocery shopping intentions. Also, the study has uncovered that perceived usefulness and perceived ease of use significantly influence shopping habits during COVID-19 among customers. Furthermore, the current study has revealed that hopping habit during COVID-19 significantly mediates the relationship between perceived usefulness, perceived ease of use and post COVID-19 online grocery shopping intentions.
Practical implications
The study findings have provided practical suggestions of developing and improving technological platforms to attract new customers for online grocery shopping. Further, the study suggests that online grocery retailers should apply adjusted pricing strategies using coupons and discount offers.
Originality/value
This paper investigates factors and its impacts on online grocery shopping intentions in post COVID-19 context. Therefore, the study uncovers the factors that add value to understanding customers' post COVID-19 online grocery shopping intentions by integrating perceived usefulness, perceived ease of use and shopping habits during COVID-19.
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Abdallah Bouasla, Sonia Saouchi, Khaoula Benramoul and Frank Vriesekoop
A strict gluten-free diet (GFD) is the only effective treatment for coeliac disease (CD), which has an increasing prevalence. However, the limited availability and high price of…
Abstract
Purpose
A strict gluten-free diet (GFD) is the only effective treatment for coeliac disease (CD), which has an increasing prevalence. However, the limited availability and high price of gluten-free products (GFPs) compared to their gluten-containing counterparts (GCCs) are still among the factors that may influence compliance with a strict GFD. The purpose of this study is to assess the availability and price of GFPs in retail stores in a major Algerian city and investigate how they compare to GCCs.
Design/methodology/approach
We performed a cross-sectional study that targets a representative number of supermarkets and grocery stores in Constantine (Algeria). All available GFPs as well as their GCCs were recorded. The price per 100 g was recorded for each product.
Findings
Among the 285 visited stores, only 25.4% of them sold GFPs, which were more available at supermarkets than at grocery stores. The category “gluten-free pasta and couscous” was the most represented (43.8%). A total of 64 GFPs were observed across 285 stores investigated, and their price was two to six times higher than that of their GCCs.
Originality/value
This study showed the limited availability and diversity and higher price of processed GFPs in Algeria. This negatively influences compliance with GFD as well as the quality of life of patients with CD. Furthermore, the findings prompt the national government to provide financial support to coeliac individuals.
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Al Bastakiya (now Al Fahidi) historic neighborhood in Dubai stands as one of the last remaining residential historic neighborhoods in a city notoriously known to favor newness…
Abstract
Purpose
Al Bastakiya (now Al Fahidi) historic neighborhood in Dubai stands as one of the last remaining residential historic neighborhoods in a city notoriously known to favor newness. Among the existing research about the neighborhood, most focuses on the allure of the neighborhood’s 13-meter-high wind-catching towers and private courtyards, but some delve into the histories of the merchant families who lived in the neighborhood. I argue that the existing literature does not capture the multiplicity of experiences of Al Bastakiya residents, especially the experiences of women. In fact, at times it sits in opposition to it.
Design/methodology/approach
This paper is part of an ongoing research project titled Ayesha Al Bastaki and the Windtower Houses of Old Dubai, which seeks to challenge the male-centered rendition of Al Bastakiya by re-introducing women as active agents in the narrative of Al Bastakiya. Ayesha Al Bastaki is a well-established Dubai-based architectural engineer with over 50 completed projects.
Findings
Using her memories in one of the biggest houses in the neighborhood, the Abbas House (now demolished), and the collective memory of her community in Al Bastakiya in the 1970s and early 1980s, a story is told about the role of women in the development of the Al Bastakiya neighborhood and their negotiation of their built environment.
Originality/value
Bringing to the forefront for the first time, women of the Al Bastakiya.
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Shih-Hao Lu, Rohit Raj, Anupama Mahajan, Ajay Jha, Priyanka Verma, Hsia-Ping Lan and Sumanjeet Singh
The study aims to add to the existing literature on food supply chains by specifically taking into the redesigning of the alignment of storage, packaging and distribution…
Abstract
Purpose
The study aims to add to the existing literature on food supply chains by specifically taking into the redesigning of the alignment of storage, packaging and distribution practices in the modern complex supply chain. The redesign of the food supply chain’s storage, distribution and packaging is a transformative endeavor ultimately aimed at enhancing efficiency, sustainability and reliability.
Design/methodology/approach
In order to identify, classify and prioritize the main challenges, this study conducted an extensive analysis of the literature and experts’ opinions in the areas of academia, information technology and the food supply chain (FSC) using combined compromise solution method (CoCoSo) and complex proportional assessment (COPRAS).
Findings
The top three classes of key indicators revealed in this study are dynamic route optimization and on-demand delivery pods (RD4), implementation of active packaging with nanotechnology (RP3) and collaborative last-mile (RD2). The findings reveal that dynamic route optimization and on-demand delivery pods (RD4) and collaborative last-mile (RD2) are maintaining a balance between collaborative delivery networks through route optimization which is a very discussable theme in recent literature.
Originality/value
The research provides fresh insights into how perishable food shelf life parameters and the use of distribution networks within the short supply chain can be taken into consideration when redesigning the storage, packaging and distribution system for food supply chains.
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Nasser Tuwali Alnuaimi, Kamran Ali CHatha and Salam Abdallah
Considering information processing theory, this study aims to examine how big data analytics (BDA) mediates the influence of e-procurement coordination (EPC) and e-procurement…
Abstract
Purpose
Considering information processing theory, this study aims to examine how big data analytics (BDA) mediates the influence of e-procurement coordination (EPC) and e-procurement transactional (EPT) applications on transparency and accountability (TA) in the procurement processes of firms within the United Arab Emirates' private sector. Furthermore, it investigates the moderating role of information processing capabilities (IPCs) in the relationships among EPC, EPT and BDA to clarify their collective impact on enhancing TA and procurement performance.
Design/methodology/approach
Data were collected from procurement and information technology professionals in the UAE’s private sector through a Web-based survey. Established scales were used to assess e-procurement, BDA, TA, procurement performance and IPCs. Data were analyzed using partial least squares structural equation modeling.
Findings
Integrating e-procurement with BDA demonstrates the potential to improve TA and procurement performance in the UAE’s private sector. BDA is positively associated with EPC and EPT applications use, contributing to increased procurement TA and enhancing overall procurement performance.
Practical implications
Organizations can enhance procurement TA by adopting e-procurement and BDA technologies.
Originality/value
This study identifies the mediating role of BDA in the relationship between e-procurement and procurement TA. In addition, it investigates the moderating role of IPCs in the relationship between e-procurement and BDA.
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This chapter presents a comprehensive framework for advancing smart cities in Bahrain, focusing on innovation, development, transformation, and prosperity. The framework…
Abstract
This chapter presents a comprehensive framework for advancing smart cities in Bahrain, focusing on innovation, development, transformation, and prosperity. The framework integrates technological advancements with sustainable practices to enhance societal well-being, economic growth, and overall development. It aligns with Bahrain’s 2030 Vision, aiming to create Next Generation Smart Cities. The chapter emphasizes enhancing social impact, healthcare access, and promoting a healthy lifestyle, driving economic growth through digital infrastructure, and promoting sustainability through renewable energy and smart urban planning. It provides a roadmap for integrating smart technologies into urban planning, infrastructure development, and service delivery, improving residents’ quality of life and promoting economic growth. The framework highlights the importance of sustainability, emphasizing environmentally friendly practices and energy-efficient solutions. Bahrain’s smart city initiatives are multifaceted, encompassing social, economic, and sustainability agendas. Socially, the focus is on promoting cohesion and community engagement through smart parks, community centers, and digital platforms that facilitate communication and collaboration. Economically, Bahrain aims to drive growth and innovation by investing in digital infrastructure and deploying smart technologies across sectors like finance and tourism. Additionally, the kingdom is developing a skilled workforce in emerging technologies to enhance competitiveness. Sustainability is a key pillar, with Bahrain investing in renewable energy sources and smart grid technologies to reduce reliance on fossil fuels and improve energy efficiency. These initiatives collectively aim to enhance the quality of life, drive economic prosperity, and promote environmental sustainability in Bahrain’s smart cities.
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