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1 – 10 of 178Shahid Rasool, Roberto Cerchione, Piera Centobelli, Eugenio Oropallo and Jari Salo
This study aims to highlight the impact of altruistic-self and hunger awareness on socially responsible food consumption through the lens of self-awareness and self-congruity…
Abstract
Purpose
This study aims to highlight the impact of altruistic-self and hunger awareness on socially responsible food consumption through the lens of self-awareness and self-congruity theories due to the great challenge of Sustainable Development Goal 2: Zero Hunger.
Design/methodology/approach
A survey was conducted with a sample of 812 respondents. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) confirm each variable's structure through the measurement model and test the hypothesis to support a structural model.
Findings
The results highlight that the combination of altruistic-self and hunger awareness (AS-HA congruence) drives consumers to execute socially responsible food consumption. Meanwhile, consumers' food-saving attitude mediation translates to the attitude towards responsible and ethical use increasing socially responsible food consumption, a contextual development in the theory of congruence. Conversely, hunger awareness is not confirmed as significantly influencing socially responsible food consumption.
Practical implications
This research provides valuable insights for academicians and practitioners in developing food waste management strategies that can be implemented to reduce food wastage.
Originality/value
Food waste is a global concern and is challenging for many manufacturing, distribution and individual wastage levels. However, food wastage by consumers is one of the most critical problems which can be minimised with awareness and attitudinal changes in behaviour as a form of socially responsible consumption.
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The geographic information systems (GIS) sector is witnessing significant growth in recent times at the global level and in the Kingdom of Saudi Arabia at the same pace. In this…
Abstract
Purpose
The geographic information systems (GIS) sector is witnessing significant growth in recent times at the global level and in the Kingdom of Saudi Arabia at the same pace. In this research, the authors aim to measure the GIS market employability in the Kingdom of Saudi Arabia, the required skills of those seeking GIS employees, existing knowledge and abilities of graduates of relevant academic programs and gaps, if any, between the graduates and the labor market requirements in terms of GIS. Research on GIS education and GIS employability from an information system perspective is scarce; thus, this study is needed.
Design/methodology/approach
In this study, a questionnaire was distributed manually and electronically to a specific group of GIS students, teachers and employees. The questionnaire was prepared in Arabic and English language. It was distributed manually to the attendees of the 12th GIS Symposium, organized by Imam Abdulrahman Bin Faisal University at Dammam city, Saudi Arabia in April of 2018. The event is a yearly one that gathers local GIS community and outside speakers and guests. An electronic version of the questionnaire was also available and distributed via personal contacts. Responses were received until the end of 2019.
Findings
The results of 107 respondents indicates good GIS foundation (for example in topology, geospatial data processing and cartography); however, programming and business skills (namely cost benefit analysis, organizational perspective and business understanding) are lacking from Saudi GIS graduates. About 67% of respondents acknowledge directly that it is difficult to find locally qualified GIS graduates. Moreover, 55% of respondents classify GIS job candidates as underqualified. This research identifies under qualification in business competencies and computer programming skills for GIS students and workers in Saudi Arabia. This research did not find a statistically significant different response between GIS teachers and GIS employees/employers; however, students’ response was significantly different from these two groups.
Originality/value
Research on GIS education and GIS employability from an Information System perspective is scarce; thus, this study is needed. Moreover, research about this topic in Saudi Arabia and the Arabian Gulf is almost nonexistent.
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Riyad Moosa and Smita Kashiramka
This study aims to explore the relationship between the objectives of Islamic banking, customer satisfaction and customer loyalty in the South African context. Diving deep, this…
Abstract
Purpose
This study aims to explore the relationship between the objectives of Islamic banking, customer satisfaction and customer loyalty in the South African context. Diving deep, this study also explores the relationship between customer satisfaction and customer loyalty.
Design/methodology/approach
Purposive and snowball sampling techniques were used, resulting in 163 respondents participating in this study. The data was collected using an online survey and analysed using a structural equation model based on the partial least squares method.
Findings
The results indicate that the construct related to the objectives of Islamic banking influences both customer satisfaction and customer loyalty. In addition, customer satisfaction is also found to influence a customer’s loyalty to the Islamic bank.
Originality/value
In South Africa, to the best of the authors’ knowledge, this study is the first of its kind; thus, the results provide context-specific insights into the extant literature on Islamic banking for Muslims residing in a non-Muslim majority country.
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A considerable amount of police evaluation research focuses on innovative approaches to reduce crime at places. This is hardly coincidental; policing and place-based scholars have…
Abstract
Purpose
A considerable amount of police evaluation research focuses on innovative approaches to reduce crime at places. This is hardly coincidental; policing and place-based scholars have found crime is highly concentrated, and when police focus on these places, they can prevent and reduce crime. The regularity of such findings led Weisburd (2015) to assert the existence of a “law of crime concentration.” Given that bold assertion, the authors test whether the law of crime concentration is generalizable to one of the most common public safety concerns that police handle—traffic crashes.
Design/methodology/approach
To determine whether the law of crime concentration applies to traffic crashes, the authors examined crash locations and times in all counties in Utah across four years. Following and expanding on Weisburd's methods, the authors calculate the bandwidth of concentration for these crashes and analyze various types by severity and possible explanations for variations in crash concentrations across the state.
Findings
A small proportion of street segments and intersections experience a disproportionately high number of crashes, and the degree of concentration of crashes may be even higher than that of crime. Further, there are variations in the levels of crash concentration across counties and in the severity of injuries resulting from the crashes.
Practical implications
Place-based criminologists and policing scholars have not often explored traffic crashes in their analyses. Yet, traffic problems take up a significant amount of law enforcement time and resources and are often priorities for most law enforcement agencies. Given what the authors know from traffic, policing and crime and place research, targeted approaches at micro traffic crash hot spots can be beneficial for public safety prevention.
Originality/value
This study is the first to explore the application of Weisburd's Law of Crime Concentration to traffic crashes. Given that police spend a significant amount of time and resources on traffic-related problems in their jurisdiction, finding more effective, evidence-based approaches to address this public safety concern should be a high priority for police and researchers alike.
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Ahmed A. Khalifa and Mariam A. Ibrahim
The study aims to evaluate PubMed publications on ChatGPT or artificial intelligence (AI) involvement in scientific or medical writing and investigate whether ChatGPT or AI was…
Abstract
Purpose
The study aims to evaluate PubMed publications on ChatGPT or artificial intelligence (AI) involvement in scientific or medical writing and investigate whether ChatGPT or AI was used to create these articles or listed as authors.
Design/methodology/approach
This scoping review was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. A PubMed database search was performed for articles published between January 1 and November 29, 2023, using appropriate search terms; both authors performed screening and selection independently.
Findings
From the initial search results of 127 articles, 41 were eligible for final analysis. Articles were published in 34 journals. Editorials were the most common article type, with 15 (36.6%) articles. Authors originated from 27 countries, and authors from the USA contributed the most, with 14 (34.1%) articles. The most discussed topic was AI tools and writing capabilities in 19 (46.3%) articles. AI or ChatGPT was involved in manuscript preparation in 31 (75.6%) articles. None of the articles listed AI or ChatGPT as an author, and in 19 (46.3%) articles, the authors acknowledged utilizing AI or ChatGPT.
Practical implications
Researchers worldwide are concerned with AI or ChatGPT involvement in scientific research, specifically the writing process. The authors believe that precise and mature regulations will be developed soon by journals, publishers and editors, which will pave the way for the best usage of these tools.
Originality/value
This scoping review expressed data published on using AI or ChatGPT in various scientific research and writing aspects, besides alluding to the advantages, disadvantages and implications of their usage.
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Joseph M. Cheer, Dominic Lapointe, Mary Mostafanezhad and Tazim Jamal
The aims of this Editorial are twofold: (i) synthesise emergent themes from the special issue (ii) tender four theoretical frameworks toward examination of crises in tourism.
Abstract
Purpose
The aims of this Editorial are twofold: (i) synthesise emergent themes from the special issue (ii) tender four theoretical frameworks toward examination of crises in tourism.
Design/methodology/approach
The thematic analysis of papers highlights a diversity of COVID-19 related crises contexts and research approaches. The need for robust theoretical interventions is highlighted through the four proposed conceptual frameworks.
Findings
Crises provides a valuable seam from which to draw new empirical and theoretical insights. Papers in this special issue address the unfolding of crises in tourism and demonstrate how its theorization demands multi and cross-disciplinary entreaties. This special issue is an invitation to examine how global crises in tourism can be more clearly appraised and theorised. The nature of crisis, and the extent to which the global tourism community can continue to adapt remains in question, as dialogues juxtapose the contradictions between tourism growth and tourism sustainability, and between building back better and returning to normal.
Originality/value
The appraisal of four conceptual frameworks, little used in tourism research provides markers of the theoretical rigour and novelty so often sought. Beck’s risk society reconceptualises risk and the extent to which risk is manmade. Biopolitics refers to the power over the production and reproduction of life itself, where the political stake corresponds to power over society. The political ecology of crisis denaturalises “natural” disasters and their subsequent crises. Justice complements an ethic of care and values like conative empathy to advance social justice and well-being.
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Burhanuddin Lukman and Saba’ Radwan Jamal Elatrash
This paper aims to ascertain the Sharīʿah (Islamic law) stance on the imposition of goods and services tax (GST) on tabarruʿ-based takāful (donation-based Islamic insurance…
Abstract
Purpose
This paper aims to ascertain the Sharīʿah (Islamic law) stance on the imposition of goods and services tax (GST) on tabarruʿ-based takāful (donation-based Islamic insurance) products in Malaysia. The paper aims to do so by analysing the philosophy, purposes and structure of GST on takāful products and comparing the imposition of GST on tabarruʿ-based takāful with its imposition on conventional insurance while probing into the Sharīʿah texts and opinions of classical and contemporary scholars about taxation in Islam.
Design/methodology/approach
The paper uses a qualitative research methodology. In addition to the literature and text on websites, the information on how GST is applied in practice is also obtained through interviews, discussions and documents from takāful operators. To determine the Sharīʿah position on GST, reference has been made to classical and contemporary Sharīʿah literature, including local and international Sharīʿah advisory bodies’ resolutions and standards.
Findings
This study finds that a strict interpretation of Sharīʿah does not allow for the imposition of GST; however, there is still room for the government to justify it using a broader interpretation of maṣlaḥah (public interest). Takāful has become a need for the society and is subscribed to by all income groups, and not only by the rich. Hence, the government should consider exempting takāful products from GST. The basis of tabarruʿ in takāful does not provide conclusive Sharīʿah evidence for takāful to be exempted from GST.
Originality/value
This research paves the way for the industry to propose further measures on GST for takāful products such as the exemption of GST on the tabarruʿ amount or imposition of a zero rate of GST on the relevant takāful fees and charges that are currently burdensome to consumers.
Luna Leoni, Marco Ardolino, Jamal El Baz, Ginetta Gueli and Andrea Bacchetti
This paper aims to provide and empirically test a conceptual model in which artificial intelligence (AI), knowledge management processes (KMPs) and supply chain resilience (SCR…
Abstract
Purpose
This paper aims to provide and empirically test a conceptual model in which artificial intelligence (AI), knowledge management processes (KMPs) and supply chain resilience (SCR) are simultaneously considered in terms of their reciprocal relationships and impact on manufacturing firm performance (MFP).
Design/methodology/approach
In the study, six hypotheses have been developed and tested through an empirical survey administered to 120 senior executives of Italian manufacturing firms. The data analysis has been carried out via the partial least squares structural equation modelling approach, using the Advanced Analysis for Composites 2.0 variance-based software program.
Findings
Using a conceptual model validated using an empirical survey, the study sheds light on the relationships between AI, KMPs and SCR, as well as their impacts on MFP. In particular, the authors show the positive effects of the adoption of AI on KMPs, as well as the influence of KMPs on SCR and MFP. Finally, the authors demonstrate that KMPs act as a mediator through which AI affects SCR and MFP.
Practical implications
This study highlights the critical role of KMPs for manufacturing firms that can deploy AI to stimulate KMPs and through attaining a high level of the latter might succeed in enhancing both their SCR and MFP.
Originality/value
This study demonstrates that manufacturing firms interested in properly applying AI to ameliorate their performance and resilience must carefully consider KMPs as a mediator mechanism.
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This conceptual article outlines the known effects of employee monitoring on employees who are working remotely. Potential implications, as well as practitioner suggestions, are…
Abstract
Purpose
This conceptual article outlines the known effects of employee monitoring on employees who are working remotely. Potential implications, as well as practitioner suggestions, are outlined to identify how practitioners can create more supportive employee experiences as well as apply these to workplace health management scenarios.
Design/methodology/approach
This overview is based on a selective and practically oriented review of articles that hitherto considered the health implications of remote workers being monitored electronically over the last two years. This overview is subsequently complemented by a discussion of more recent findings that outline the potential implications of monitoring for remote employees, employees' work experience and workplace health management.
Findings
Several practitioner-oriented suggestions are outlined that can pave the way to a more supportive employee experience for remote workers, who are monitored electronically by their employers. These include the various health and social interventions, greater managerial awareness about factors that influence well-being and more collaboration with health professionals to design interventions and new workplace policies. Organizations would also benefit from using audits and data analytics from monitoring tools to inform their interventions, while a rethink about work design, as well as organizational reviews of performance and working conditions further represent useful options to identify and set up the right conditions that foster both performance as well as employee well-being.
Originality/value
The article outlines practitioner-oriented suggestions that can directly and indirectly support employee well-being by recognizing the various factors that affect performance and experience.
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Temidayo O. Akenroye, Adegboyega Oyedijo, Vishnu C. Rajan, George A. Zsidisin, Marcia Mkansi and Jamal El Baz
This study aims to develop a hierarchical model that uncovers the relationships between challenges confronting Africa's organ transplant supply chain systems.
Abstract
Purpose
This study aims to develop a hierarchical model that uncovers the relationships between challenges confronting Africa's organ transplant supply chain systems.
Design/methodology/approach
Eleven challenges (variables) were identified after a comprehensive review of the existing literature. The contextual interactions among these variables were analysed from the perspectives of health-care stakeholders in two sub-Saharan Africa (SSA) countries (Nigeria and Uganda), using Delphi-interpretive structural modelling-cross-impact matrix multiplication applied to classification (MICMAC) techniques.
Findings
The findings reveal that weak regulatory frameworks, insufficient information systems and a lack of necessary skills make it challenging for critical actors to perform the tasks effectively. The interaction effects of these challenges weaken organ supply chains and make it less efficient, giving rise to negative externalities such as black markets for donated organs and organ tourism/trafficking.
Research limitations/implications
This paper establishes a solid foundation for a critical topic that could significantly impact human health and life once the government or non-profit ecosystem matures. The MICMAC analysis in this paper provides a methodological approach for future studies wishing to further develop the organ supply chain structural models.
Practical implications
The study provides valuable insights for experts and policymakers on where to prioritise efforts in designing interventions to strengthen organ transplantation supply chains in developing countries.
Originality/value
This study is one of the first to empirically examine the challenges of organ transplant supply chains from an SSA perspective, including theoretically grounded explanations from data collected in two developing countries.
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