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While the Noble Quran dictates the prohibition of interest, conventional banks promote Islamic banking by opening Islamic banking windows. Against this backdrop, this study aims to investigate the perceived gaps between managers and clients in Islamic marketing and banking, focusing on conventional banks’ Islamic banking windows.

Guided by a qualitative approach, semi-structured personal interviews and observations served as the data collection methods, involving 25 banks and 50 respondents in 3 different districts, namely, Shirajganj, Rajshahi and Chapainawabganj of Bangladesh from January to October 2023. The data were analysed using ATLAS.ti 2023 to explore codes and quotations derived from 14 interview questions. Further, ATLAS.ti 2023 facilitated synthesizing content, concepts, code occurrence, network analysis and thematic analysis.

Islamic and non-Islamic banks use Quranic verses, hadiths (prophetic traditions), images of mosques, the Kaaba and Arabic texts as Islamic marketing tools. These spiritual, divine and prescriptive tools are associated with Islamic banking. However, conventional banks receive criticism for having separate Islamic banking windows to serve religiously conscious clients, which generates tension among clients and bank managers.

The findings can theoretically assist academics in examining conventional banks’ Islamic marketing and banking practices, opening Islamic banking windows. Importantly, Shariah boards can play policy roles in safeguarding the function of Islamic marketing and banking. Managers can use the findings to anticipate client perceptions and enhance Islamic marketing and banking strategies. Likewise, the social implications include the explicit stance of Shariah to mitigate the mixture of halal and haram banking.

This pioneering study explores the perspectives of Islamic banking windows by non-Islamic banks. The combination of Islamic marketing and banking is a noteworthy novelty in this study and deserves recognition for its unique contribution to halal marketing and finance.

The integration of artificial intelligence (AI) technologies like conversational AI and HR chatbots in international human resource development (HRD) presents both productivity benefits and ethical challenges. This study aims to examine the ethical dimensions of AI-driven HR chatbots, emphasizing the need for fairness, autonomy and nondiscrimination. It discusses inherent biases in AI systems and addresses linguistic, cultural and accessibility issues. The paper advocates for a comprehensive risk assessment approach to guide ethical integration, proposing a “risk management by design” framework. By embracing ethical principles and robust risk management strategies, organizations can navigate AI-driven HR technologies while upholding fairness and equity in global workforce management.

Systematic literature review.

The paper advocates for a comprehensive risk assessment approach to guide ethical integration, proposing a “risk management by design” framework.

By embracing ethical principles and robust risk management strategies, organizations can navigate AI-driven HR technologies while upholding fairness and equity in global workforce management.

This study explores the intricate ethical landscape surrounding AI-driven HR chatbots, spotlighting the imperatives of fairness, autonomy, and nondiscrimination. Uncovering biases inherent in AI systems, it addresses linguistic, cultural, and accessibility concerns. Proposing a pioneering “risk management by design” framework, the study advocates for a holistic approach to ethical integration, ensuring organizations navigate the complexities of AI-driven HR technologies while prioritizing fairness and equity in global workforce management.

This study aims to explore the dissemination and evolutionary path of online public opinion from a crisis management perspective. By clarifying the influencing factors and dynamic mechanisms of online public opinion dissemination, this study provides insights into attenuating the negative impact of online public opinion and creating a favorable ecological space for online public opinion.

This research employs bibliometric analysis and CiteSpace software to analyze 302 Chinese articles published from 2006 to 2023 in the China National Knowledge Infrastructure (CNKI) database and 276 English articles published from 1994 to 2023 in the Web of Science core set database. Through literature keyword clustering, co-citation analysis and burst terms analysis, this paper summarizes the core scientific research institutions, scholars, hot topics and evolutionary paths of online public opinion crisis management research from both Chinese and international academic communities.

The results show that the study of online public opinion crisis management in China and internationally is centered on the life cycle theory, which integrates knowledge from information, computer and system sciences. Although there are differences in political interaction and stage evolution, the overall evolutionary path is similar, and it develops dynamically in the “benign conflict” between the expansion of the research perspective and the gradual refinement of research granularity.

This study summarizes the research results of online public opinion crisis management from China and the international academic community and identifies current research hotspots and theoretical evolution paths. Future research can focus on deepening the basic theories of public opinion crisis management under the influence of frontier technologies, exploring the subjectivity and emotionality of web users using fine algorithms and promoting the international development of network public opinion crisis management theory through transnational comparison and international cooperation.

Accurate and automatic clothing pattern making is very important in personalized clothing customization and virtual fitting room applications. Clothing pattern generating as well as virtual clothing simulation is an attractive research issue both in clothing industry and computer graphics.

Physics-based method is an effective way to model dynamic process and generate realistic clothing animation. Due to conceptual simplicity and computational speed, mass-spring model is frequently used to simulate deformable and soft objects follow the natural physical rules. We present a physics-based clothing pattern generating framework by using scanned human body model. After giving a scanned human body model, first, we extract feature points, planes and curves on the 3D model by geometric analysis, and then, we construct a remeshed surface which has been formatted to connected quad meshes. Second, for each clothing piece in 3D, we construct a mass-spring model with same topological structures, and conduct a typical time integration algorithm to the mass-spring model. Finally, we get the convergent clothing pieces in 2D of all clothing parts, and we reconnected parts which are adjacent on 3D model to generate the basic clothing pattern.

The results show that the presented method is a feasible way for clothing pattern generating by use of scanned human body model.

The main contribution of this work is twofold: one is the geometric algorithm to scanned human body model, which is specially conducted for clothing pattern design to extract feature points, planes and curves. This is the crucial base for suit clothing pattern generating. Another is the physics-based pattern generating algorithm which flattens the 3D shape to 2D shape of cloth pattern pieces.

Research on the effects of feedback frequency has reported mixed findings. To tackle this problem, the current study focuses on specific feedback signs (i.e. negative feedback). By integrating the face management theory and attribution theory, this study examined the mediating effect of trust in supervisors and the moderating effect of employee-attributed performance promotion motives for negative feedback.

A field study with 176 participants and two supplemental experiments with 143 and 100 participants, respectively, were conducted to test the theoretical model.

Results revealed that the frequency of supervisory negative feedback negatively influenced employees’ trust in supervisors, which in turn influenced employees’ perceptions of feedback utility and learning performance. These indirect effects can be alleviated when employees have high degrees of performance promotion attribution for supervisor motives.

This research extends feedback research by integrating feedback frequency with a specific sign of feedback and revealing a moderated mediation effect of the negative feedback frequency.

Three-dimensional (3D) printing is popular for many applications including the production of photocatalysts. This paper aims to focus on developing of 3D-printed photocatalyst-nano composite lattice structure. Digital light processing (DLP) 3D printing of photocatalyst composites was performed using photosensitive resin mixed with 0.5% Wt. of TiO₂ powder and varying amounts (0.025% Wt. to 0.2% Wt.) of graphene nanoplatelet powder. The photocatalytic efficiency of DLP 3D-printed photocatalyst TiO₂ composite was investigated, and the effects of nano graphite powder incorporation on the photocatalytic activity, thermal and mechanical properties were investigated.

Methods involve 3D computer-aided design modeling, printing parameters and comprehensive characterization techniques such as structural equation modeling, X-ray diffraction, thermogravimetric analysis, Fourier-transform infrared (FTIR) and mechanical testing.

Results highlight successful dispersion and characteristics of TiO₂ and graphene nanoplatelet (GNP) powders, intricate designs of 3D-printed lattice structures, and the influence of GNPs on thermal behavior and mechanical properties.

The study suggests applicability in wastewater treatment and environmental remediation, showcasing the adaptability of 3 D printing in designing effective photocatalysts. Future research should focus on practical applications and the long-term durability of these 3D-printed composites.

Discussions on tourism development address the urgent need to reduce the negative impacts of tourism on tourist destinations. Despite decades of trying to find potential ways to foster sustainability, however, current tourism development is still mainly driven by political interests and growth agendas. In spite of concepts intending to improve sustainable tourism development, negative dynamics, such as over-tourism and the exploitation of nature and local communities, dominate the current reality of tourism. This article focuses on the concept of degrowth as a potential solution for rethinking tourism policy and practices to ensure greater sustainability. Its aim is to explore the gap between these policies and the academic theories on instigating sustainable change, and the actual reality of the tourism industry, which is primarily driven by economic motivations such as growth.

To explore this dichotomy, this paper investigates the values of tourism lifestyle entrepreneurs. Small businesses are the most dominant group in the industry in terms of numbers. I contend that researching their viewpoint on current developmental trends could lead to valuable insights into how to tackle this gap between theory and reality. This paper also explores how the degrowth paradigm may promote sustainability in tourism, as well as the potential role that tourism lifestyle entrepreneurs could play in this development. The discussion is illustrated by a case study based on interviews with tourism entrepreneurs in Iceland.

The findings indicate that various tourism stakeholders have different approaches to growth, with many tourism lifestyle entrepreneurs tending to embrace degrowth practices by acting according to their value base, albeit sometimes unconsciously. This focus on aspects other than growth could potentially encourage tourism lifestyle entrepreneurs to contribute to sustainable development.

The examples discussed in this paper are locally limited and cannot be generalized due to the small size of the interviewed sample group. The scalability of individual entrepreneurs’ impact is limited due to their small size.

The actions and values applied by these tourism lifestyle entrepreneurs demonstrate how degrowth can be manifest on a small scale: growth is only embraced up to a certain limit, so it oes not exceed social and environmental capacities; from that point on, community well-being plays the key role. This study demonstrates the untapped knowledge tourism lifestyle entrepreneurs could provide to rethinking the tourism industry.

This study demonstrates the importance of shedding more light on ethical issues and values beyond growth in both academic and political discussions. Addressing tourism lifestyle entrepreneurs as smaller-scale actors of tourism degrowth could be a meaningful starting point for holistically rethinking tourism and give them a voice.

This research emphasizes untapped knowledge by acknowledging entrepreneurs and their potential for rethinking tourism development, concluding with recommendations for practice and policy.

Sailing toward sustainability is becoming the strategic focus of shipping firms. Drawing on organizational information processing theory (OIPT) and the theory of planned behavior (TPB), we investigated the impact of digital transformation (DT) on shipping firms’ sustainable management performance and the boundary conditions guiding this relationship.

The authors examined the hypotheses by employing hierarchical linear modeling on two-wave time-lagged data from 189 shipping firm employees in China.

The results suggest that a shipping firm’s DT is positively associated with its sustainable management performance and that the relationship is strengthened by having better cross-functional and customer coordination mechanisms. Furthermore, our three-way interaction analyses show that while injunctive norms in a shipping firm’s networks can strengthen the contingency roles of both cross-functional and customer coordination mechanisms, descriptive norms alone significantly influence customer coordination.

Drawing on organizational information processing and planned behavior theories, the present research provides new insights into leveraging DT for sailing toward sustainable success. Moreover, this study extends the current understandings of the boundary conditions of the relationship between DT and sustainable management performance by showing the two-way and three-way interaction effects of coordination mechanisms and subjective norms. The findings of the present research can be utilized as effective strategies for promoting sustainable management performance.

This study aims to provide an overview of the evolution of knowledge on smart destinations and identify the key issues addressed in the smart destination research domain, the main themes and sub-themes and research gaps in smart destination research as well as the future research agenda to address those gaps.

A bibliometric analysis of 409 studies published on smart destinations literature was conducted using the Bibliometrix R-package to provide a comprehensive review of studies published on smart destinations and identify the main research themes, gaps in the literature and future research opportunities.

Based on the research findings, a conceptual model of smart destination research has been proposed. This conceptual model can serve as a foundation for further knowledge generation in this research area. The findings also shed light on future research directions, highlighting research opportunities for the exploitation of cutting-edge innovations and digitalization across various dimensions of smart destinations.

Although past research has paid attention to the theme of smart destinations, this work advances scientific knowledge by providing a foundation for a new smart destination management paradigm focusing on accessibility, sustainability, digitization, experience co-creation and creativity as milestones.

本研究旨在提供关于智慧目的地知识演变的概览, 并确定智慧目的地研究领域中涉及的关键问题、主要主题和子主题, 以及智慧目的地研究的研究空白, 同时提出未来研究议程以填补这些空白。

本研究利用 Bibliometrix R 软件对发表的409篇智慧目的地文献进行了文献计量分析, 以全面回顾关于智慧目的地的研究, 并确定主要研究主题、文献中的空白以及未来的研究机会。

基于研究结果, 本研究提出了智慧目的地研究的概念模型。该概念模型可作为进一步知识生成的基础。研究发现还为未来研究方向提供了启示, 强调了利用先进创新和数字化技术在智慧目的地各个维度上进行研究的机会。

尽管过去的研究关注了智慧目的地的主题, 但本研究通过提出以可达性、可持续性、数字化、体验共创和创意为里程碑的新智慧目的地管理范式, 推进了科学知识的发展。

Identity regulation is part of a management control package. Organizations regulate employees’ self-identity to influence their behaviors. The success of this regulation depends on its trade-off with employees’ work identities and personalities. Organizational discourse nurtures this dynamic and interactive process. We focus on the regulation of an (undesired) organizational identity that is born at the intersection of race/ethnicity, gender, sex and migrant discrimination in accounting-related positions. We aim to analyze how Latina accountants who migrate to Spain perceive that their triple status as Latina, women and migrants affects their careers as accountants and interpret whether this triple intersectional discrimination aims to create a Latina accountant’s self-identity.

This critical study follows a phenomenological approach to analyze the experiences of women born in Latin America who migrated to Spain to occupy accounting-related positions. A thematic analysis of their semi-structured interviews allowed us to examine the challenges faced by Latina accountants in their accounting careers in Spain.

Our interviewees' narratives display an internalization of, even resignation to, a self-identity that we label “Latina accountant identity.” This identity is based on explicit discrimination discourses that cause them to suffer from the intersection of racism, sexism and migrant conditions and is nurtured by the discourses of their senior managers, co-workers and subordinates.

To the best of our knowledge, this is the first study to frame the regulation of an intersectional discriminatory identity that is used to control Latina accountants from the inside, acting on the triple condition of Latinas, women and foreigners, influencing their self-perceptions regarding work and personal lives.