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Untimely delivery of goods and services, especially in a post-COVID landscape, is a critical harbinger of end-to-end fulfillment. Existing literature in supplier delivery modeling is focused on penalizing suppliers for late deliveries built into a contractual transaction, which eventually erodes trust. As such, a holistic modeling technique focused on long-term relationship building is missing. This study aims to design a supplier evaluation model that analytically equates supplier delivery performance to cost realization while replicating a core attribute of successful supply chains – alignment, leading to long-term supplier relationships.

The supplier evaluation model designed in this paper uses delivery deviation as a unit of measure as opposed to delivery duration to enhance consistency with enterprise resource planning protocols. A one-sided modified Taguchi-type quality loss function (QLF) models delivery lateness to construct a multinomial probability penalty cost function for untimely delivery. Prescriptive analytics using simulation and optimization of the proposed mathematical model supports buyer–supplier alignment.

The supplier evaluation model designed herein not only optimizes likelihood parameters for early and late deliveries for competing suppliers to enhance total landed cost comparisons for on-shore, near-shore and off-shore suppliers but also allows for the creation of an efficient frontier toward supply base optimization.

At a time of systemic disruptions such as the COVID pandemic, global supply chains are at risk of business continuity. Supplier evaluation models need to focus on long-term relationship modeling as opposed to short-term contractual penalty-based modeling to enhance business continuity. The model offered in this paper is grounded in alignment – a cornerstone of successful supply chain integration, and offers an interesting departure from traditional modeling techniques in this genre.

The results from this analytical approach offer flexibility to a supply manager toward building redundancies in the supply chain using an efficient frontier within the supply landscape, which also helps to manage disruption and maintain end-to-end fulfillment.

The model offered in this paper is grounded in alignment – a cornerstone of successful supply chain integration, and offers an interesting departure from traditional modeling techniques in this genre. The authors offer a rational solution by creating an evaluation model that uses penalty cost modeling as an internal quality measure to rate suppliers and uses the outcome as a yardstick for negotiations instead of imposing penalties within contracts.

Due to the recent increase in unexpected events that negatively affect projects, the concept of resilience has grasped the attention of researchers, as risk management alone fails to address unpredicted events. This study aims to identify resilience dimensions and their designated factors and then construct a comprehensive definition for resilience in construction projects.

This paper adopted a qualitative research design through content analysis of semi-structured interviews with project engineers on behalf of their construction project; 26 interviews were analyzed via ATLAS.ti.

The results demonstrate that resilience in construction projects consists of four main dimensions: preparation, absorption, recovery and adaptation; each dimension comprises separate factors. The evidence from this study demonstrates that the resilience of the organization, project team and project manager supports the construction project when facing unpredicted or abnormal conditions.

The results of this paper will help construction project managers to enhance the resilience of their projects by providing different resilience factors.

The resilience concept in projects is novel and has limited knowledge available, especially in construction projects therefore, it requires additional comprehensive discussion and validation. The findings of this paper will serve as a cornerstone for the development of the resilience field and enrich the indigent literature on resilience in the construction industry.

The current study aims to propose and empirically investigate a conceptual model of the most relevant antecedents and consequences of Corporate Social Responsibility (CSR) attribution, thus providing a practical and concise model as well as examining brand attachment as a mediator explaining the relationship between CSR attribution and its consequences.

A between-subjects experimental design was employed. The study included two experimental conditions; intrinsic and extrinsic CSR attribution and a control condition. An online self-administered survey was utilised for data collection. The sample was a convenience sample of 336 university students. Both one-way between-groups ANOVA and Partial Least Squares-Structural Equation Modelling (PLS-SEM) were utilised for hypotheses testing.

The most significant antecedents of CSR attribution in order of importance are the firm's approach to CSR communication, past corporate social performance, CSR type and the firm's call for customers' participation in its CSR. CSR attribution exerted a significant direct positive impact on brand attachment and trust. Three significant indirect consequences of CSR attribution were PWOM intention, purchase intention and brand loyalty intention. Whereas trust played a significant mediating role between CSR attribution and its three indirect consequences, brand attachment exerted significant mediation only between CSR attribution and brand loyalty intention. Brand attachment might mediate the relationship between CSR attribution and purchase intention. However, brand attachment failed to play a mediating role between CSR attribution and PWOM intention.

Several studies marginally investigated CSR attribution. Despite the vital role of CSR attribution in how consumers receive firms' CSR engagement, the availability of CSR attribution-centric studies is limited. By introducing a model of the most relevant antecedents and consequences of CSR attribution, this study aids in understanding the psychological mechanism underlying consumers' CSR attribution and provides valuable implications.

The Arab world has witnessed a remarkable surge in the growth of its tourism and hospitality (T&H) industry, positioning it as a vital cornerstone for sustainable development. However, an exclusive bibliometric analysis of T&H research contributed by the Arab world has not yet been conducted in the past 30 years, that is, 1993–2022. Therefore, the purpose of this study is to provide a first-of-its-kind bibliometric assessment and visualization of T&H research produced by the Arab world spanning from 1993 to 2022.

A comprehensive collection of 1,327 scientific publications related to T&H research contributed by the Arab world was acquired from the Web of Science Core Collection database. To perform a large-scale bibliometric analysis, encompassing performance analysis, science mapping and network analysis, this study used state-of-the-art analytical tools, namely, Bibliometrix package of R Studio and VOSviewer.

The findings of this study show that the Arab world’s research on T&H has significantly surged since COVID-19, contributing nearly half (50.56%) of the total literature in the T&H domain between 2020 and 2022. Elshaer IA (Suez Canal University, Egypt) emerged as the most productive author, while Nusair K (Sultan Qaboos University, Oman) was identified as the most impactful author in the T&H domain in the Arab world. The most productive journal was found to be Sustainability (MDPI), while Tourism Management (Elsevier) was identified as the most impactful journal in the field of T&H. Furthermore, the thematic analysis highlights that research themes in T&H are not static but rather constantly evolving in response to dynamic changes in the industry, such as emerging trends, shifts in tourist preferences and the impact of global events like the COVID-19 pandemic.

To the best of the authors’ knowledge, this is the first bibliometric analysis of T&H research contributed by the Arab world, specifically covering the period from 1993 to 2022. This study's findings can inform the development of strategies and policies for the sustainable and competitive growth of the T&H industry in the Arab world. This study highlights the importance of continued research and collaboration among industry professionals, academics and policymakers to promote innovation and drive positive change in the T&H sector in the Arab world.

阿拉伯世界已经目睹了其旅游和酒店（T&H）行业增长的显著激增, 将其定位为可持续发展的重要基石。然而, 在过去30年中, 即1993年至2022年, 尚未进行关于阿拉伯世界贡献的T&H研究的专属文献计量分析。因此, 这项研究代表了提供阿拉伯世界自1993年至2022年间T&H研究的首创性文献计量评估和可视化的先驱努力。

从Web of Science核心合集数据库收集了1327篇与阿拉伯世界贡献的T&H研究相关的科研论文。为进行大规模的计量分析, 包括性能分析、科学映射和网络分析, 我们采用了先进的分析工具, 即R Studio的Bibliometrix软件包和VOSviewer。

研究结果显示, 自COVID-19以来, 阿拉伯世界对T&H的研究显著增加, 占2020年至2022年期间发表文献总数的近一半（50.56%）。关键词分析揭示了阿拉伯世界T&H领域的当前研究热点, 包括“旅游”、 “影响”、“满意度”、“管理”、“酒店业”、“绩效”、“决定因素”、“感知”、“忠诚度”、“质量”和“顾客满意度”。然而, 阿拉伯世界的T&H学者和从业者需要进一步研究一些研究空白, 包括“器官移植旅游”、“伦理领导”、“消费者感知”、“生态足迹”、“员工参与”、“爱彼迎”、“目的地营销”、“顾客不文明行为”、“可持续旅游发展”和“环境可持续性”等主题。主题分析突显了T&H领域的研究主题不断随行业动态变化而不断演化, 如新兴趋势、游客偏好变化以及全球事件如COVID-19大流行的影响。

据我们所知, 这是首次对阿拉伯世界贡献的T&H研究进行的计量分析, 特别涵盖了1993年至2022年的时期。研究结果可为阿拉伯世界T&H行业可持续和竞争性增长的战略和政策提供信息。这项研究强调了继续研究和行业专业人员、学者和政策制定者之间的合作的重要性, 以促进创新并推动阿拉伯世界T&H行业的积极变革。

El mundo árabe ha presenciado un notable aumento en el crecimiento de su industria de turismo y hostelería (T&H), posicionándola como una piedra angular vital para el desarrollo sostenible. Sin embargo, aún no se ha realizado un análisis bibliométrico exclusivo de la investigación en T&H realizada por el mundo árabe en los últimos 30 años, es decir, de 1993 a 2022. Por lo tanto, este estudio se erige como el esfuerzo pionero en proporcionar una evaluación bibliométrica y visualización sin precedentes de la investigación en T&H producida por el mundo árabe desde 1993 hasta 2022.

Se recogieron 1327 publicaciones científicas relativas a la investigación en T&H elaboradas por el mundo árabe, a partir de la base de datos Web of Science Core Collection. Para llevar a cabo un análisis bibliométrico a gran escala que abarcara el análisis de rendimiento, el mapeo científico y el análisis de redes, se emplearon herramientas analíticas de última generación, como el paquete Bibliometrix de R Studio y VOSviewer.

Los resultados muestran que la investigación del mundo árabe en T&H ha aumentado significativamente desde la COVID-19, representando casi la mitad (50.56%) de la literatura total publicada entre 2020 y 2022. El análisis de palabras clave reveló que “turismo,” “impacto,” “satisfacción,” “gestion,” “hospitalidad,” “rendimiento,” “determinantes,” “percepción,” “lealtad,” “calidad” y “satisfacción del cliente” son los temas de investigación actuales más destacados en T&H en el mundo árabe. Sin embargo, existen varias lagunas de investigación que requieren una investigación adicional por parte de académicos y profesionales de T&H en el mundo árabe, incluyendo temas como “turismo de trasplante,” “liderazgo ético,” “percepción del consumidor,” “huella ecológica,” “compromiso de los empleados,” “Airbnb,” “marketing de destinos,” “incivilidad del cliente,” “desarrollo de turismo sostenible,” y “sostenibilidad ambiental.” El análisis temático destaca que los temas de investigación en T&H evolucionan constantemente en respuesta a cambios dinámicos en la industria, como tendencias emergentes, cambios en las preferencias de los turistas y el impacto de eventos globales como la pandemia de COVID-19.

Hasta dónde llega nuestro conocimiento, este es el primer estudio bibliométrico de la investigación en T&H realizada por el mundo árabe, cubriendo específicamente el período de 1993 a 2022. Los hallazgos del estudio pueden desplegar el desarrollo de estrategias y políticas para el crecimiento sostenible y competitivo de la industria de T&H en el mundo árabe. Este estudio resalta la importancia de la investigación continua y la colaboración entre profesionales de la industria, académicos y responsables políticos para promover la innovación y generar un cambio positivo en el sector de T&H en el mundo árabe.

Digital transformation (DT) innovation is a monumental contribution that has had a profound effect on several worldwide industries. The aim of this research is to evaluate the current and future trends in DT specifically focusing in construction industry.

This study adopts a qualitative analysis approach grounded on descriptive and bibliometric analyses. In total, 283 papers from Scopus between January 2015 and April 2023 were retrieved in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) review methodology. This study examines the publishing trends, most productive nation, university, publications and authors. Keyword co-occurrence analysis and thematic evolution were analyzed through Vosviewer and Biblioshiny.

The results illustrate a growing desire to use digital technologies in the construction industry, which shows the topic's power and expanding popularity. This research reveals various emerging themes based on technology usage in construction sector. Out of 14 themes, occupational health and safety, mass customization, virtual reality and artificial intelligence were identified as isolated themes. Further, this study elaborates the difficulties encountered by the construction industry while employing digital technologies and examines the interrelationships among various keywords in DT and reveals the paradoxes and hotspots.

This research adds to the body of literature as it identifies the research areas and gaps in the existing DT domain in construction industry. The integration of technology in this sector has an intense positive future vision as various subareas have immense potential for technology application.

There is evidence of country-level contextual variations regarding the benefits of practical experience acquired by students during higher education. This paper, therefore, analyses the benefits of student internships in the Ghanaian context.

In Study 1, two structured but distinct surveys were distributed to senior members and students of six specialised technical education institutions (TIs). Study 2 involved in-depth interviews with the heads of organisations in the tertiary education sector, including trade groups, industries and government agencies.

Internship provides soft skills, confidence, career development, sense of responsibility, employability, income, knowledge sharing and networking for students/interns. For TIs, it contributes to the professional development of faculty supervisors and helps them to update the content they teach. For employers, it unveils talented and promising students who can be employed immediately after graduation at a relatively cheaper cost.

There is still the need for additional research in different contexts: both developed and developing economies to clear doubts on the controversies surrounding the relevance of internship in the 21st century.

TIs should continue to champion student internship programmes. This study highlights the need for employers to place internship students in areas that relate to their fields of study. It also underscores the need for students to embrace internship since it is the cornerstone to their employability in the labour market.

Undeniably, student internships provide a critical platform for career beginners.

This paper contributes to knowledge by offering contextual literature in Ghana on the benefits of student internship programme for interns/students, TIs and employers, all together.

This paper aims to measure and unveil the relationship between customer satisfaction and efficiency levels in the most relevant Brazilian airports.

The authors utilize a two-stage network DEA (data envelopment analysis) and AHP (analytic hierarchy process) model as the cornerstones of the study. The first stage of the network productive structure focuses on examining the infrastructure efficiency of the selected airports, while the second stage assesses their business efficiency.

Although the results indicate that infrastructure and business efficiency levels are heterogeneous and widely dispersed across airports, controlling the regression results with different contextual variables suggests that the impact of efficiency levels on customer satisfaction is mediated by a set of socio-economic and demographic (endogenous) and regulatory (exogenous) variables. Furthermore, encouraging investment in airports is necessary to achieve higher infrastructural efficiency and scale efficiency, thereby improving customer satisfaction.

There is a scarcity of studies examining the relationships among customer satisfaction, privatization and airport efficiency, particularly in developing countries like Brazil.

This paper explores a five-year case example of two educators engaged in practice-based professional development (PBPD) for the Self-Regulated Strategy Development (SRSD) model in a middle school. It examines the transformative effects and challenges of improving writing instruction, the activities involved and alternative PBPD delivery methods. Highlighting a collaborative effort between an institute of higher education (IHE), a middle school and ThinkSRSD, a PBPD for SRSD developer, the example underscores the long-term benefits and innovative insights into engaging with PBPD for SRSD over multiple years.

The case involves analyzing survey data collected over five years. These surveys, which included specific SRSD-related queries and open-ended questions, were instrumental in assessing the evolution of the educators’ perceptions regarding SRSD and their engagement with PBPD. Additionally, the paper details PBPD activities as documented in a research journal, providing a comprehensive account of the developmental process.

Through a cross-institutional partnership, two middle school general educators participated in PBPD for SRSD for 30 h across five years. Their engagement with PBPD progressed from initial introduction and implementation to facilitating PBPD for SRSD among peers and at the national level. Over time, the most consistently enacted SRSD action was “memorize it,” while actions such as “discuss it,” “support it” and “independent performance” showed greater variability. Both educators consistently praised SRSD and sought continued PBPD engagement over the five years.

Our case example is the first five-year analysis of PBPD for SRSD among general middle school educators, highlighting the benefits and challenges of adopting evidence-based writing instruction. Our example emphasizes the need for continuous and focused professional development in areas crucial for student success, including self-regulation, prewriting strategies and techniques for fostering independent performance. Moreover, the two middle school educators’ critical feedback is invaluable for refining PBPD for SRSD. This work also enriches professional development schools (PDS) literature by offering effective strategies to support middle school teachers in developing a vibrant writing community, a cornerstone for student advancement in writing.

Listening is often considered the cornerstone of the communication process, with feedback being a crucial skill for effective management. The primary objective of this article was to investigate the relationship between managers’ listening skills and feedback skills from their subordinates’ perspectives. Moreover, it explores the mediating effect of message-sending skills and the ability to deal with interference in this relationship.

This article deployed a quantitative, descriptive research design. The authors developed and distributed a self-administered questionnaire via non-probability convenience sampling, resulting in 304 useable responses.

The results of the main direct effect test (model 1) indicate that listening is positively associated with feedback. Model 2 established that message-sending skills did not directly mediate that relationship. On the other hand, the ability to deal with interference was found to mediate the relationship. Finally, model 4 showed the multi-mediating effect of message-sending skills and the ability to deal with interference in the relationship between listening and feedback.

As far as the researchers are aware, this paper is the first of its kind to show the ability to deal with interference as a mediating factor in a statistical model. Moreover, this study is the first to present a continuous intermediary role played by message-sending skills and the ability to deal with interference in the relationship between listening and feedback.

In the era of artificial intelligence (AI), algorithms have gained unprecedented importance. Scientific studies have shown that algorithms are frequently mentioned in papers, making mention frequency a classical indicator of their popularity and influence. However, contemporary methods for evaluating influence tend to focus solely on individual algorithms, disregarding the collective impact resulting from the interconnectedness of these algorithms, which can provide a new way to reveal their roles and importance within algorithm clusters. This paper aims to build the co-occurrence network of algorithms in the natural language processing field based on the full-text content of academic papers and analyze the academic influence of algorithms in the group based on the features of the network.

We use deep learning models to extract algorithm entities from articles and construct the whole, cumulative and annual co-occurrence networks. We first analyze the characteristics of algorithm networks and then use various centrality metrics to obtain the score and ranking of group influence for each algorithm in the whole domain and each year. Finally, we analyze the influence evolution of different representative algorithms.

The results indicate that algorithm networks also have the characteristics of complex networks, with tight connections between nodes developing over approximately four decades. For different algorithms, algorithms that are classic, high-performing and appear at the junctions of different eras can possess high popularity, control, central position and balanced influence in the network. As an algorithm gradually diminishes its sway within the group, it typically loses its core position first, followed by a dwindling association with other algorithms.

To the best of the authors’ knowledge, this paper is the first large-scale analysis of algorithm networks. The extensive temporal coverage, spanning over four decades of academic publications, ensures the depth and integrity of the network. Our results serve as a cornerstone for constructing multifaceted networks interlinking algorithms, scholars and tasks, facilitating future exploration of their scientific roles and semantic relations.