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Building information modelling (BIM) is an innovative, collaborative process underpinned by digital technologies introduced to improve project performance in the architecture, engineering and construction (AEC). Growth in industry demands has necessitated BIM inclusion into the higher education (HE) curricula as both a pedagogic and practical objective to prepare and develop aspiring built environment (BE) professionals with the required competence for contemporary practice. However, comprehension of BIM concepts and subsequent development of the skill set required for its application remains overwhelming for students. In mitigating this challenge, adopting appropriate learner-centred strategies has been advocated. Problem-based learning (PBL) is becoming a widespread strategy to address concerns associated with authentic practices.

This paper evaluates the impact of the PBL strategy on students' accelerated learning of BIM based on a case study of 53 undergraduate students in a BIM module. The network analysis and centrality measures were employed in understudying the most applicable BIM skills.

From the analyses, PBL benefits students' knowledge acquisition (cognitive and affective) of BIM concept and development of transferable skills (academic and disciplinary), equipping them with capabilities to become BIM competent and workplace ready for the AEC industry.

The BIM pedagogy evolves, and new skillsets emerge. Analytical, communications and collaboration skills remain sacrosanct to delivering BIM modules. These skills mentioned above are essential in getting undergraduate students ready to apply BIM in the AEC sector.

Multiple topics often exist on social media platforms that compete for users' attention. To explore how users’ attention transfers in the context of multitopic competition can help us understand the development pattern of the public attention.

This study proposes the prediction model for the attention transfer behavior of social media users in the context of multitopic competition and reveals the important influencing factors of users' attention transfer. Microblogging features are selected from the dimensions of users, time, topics and competitiveness. The microblogging posts on eight topic categories from Sina Weibo, the most popular microblogging platform in China, are used for empirical analysis. A novel indicator named transfer tendency of a feature value is proposed to identify the important factors for attention transfer.

The accuracy of the prediction model based on Light GBM reaches 91%. It is found that user features are the most important for the attention transfer of microblogging users among all the features. The conditions of attention transfer in all aspects are also revealed.

The findings can help governments and enterprises understand the competition mechanism among multiple topics and improve their ability to cope with public opinions in the complex environment.

This study aims to observe the impact of peripheral vision on construction safety. The study further intends to create awareness of eye diseases in construction safety, an important root cause for most construction-related hazards and accidents.

This study focuses on the impact of peripheral vision in terms of construction site safety. Experiments were conducted with construction employees with different qualifications, ages, expertise and previous safety training experience. The experiments were conducted with an experiment set consisting of a tangent screen to measure the peripheral angle of the participants. The study measured peripheral vision, which helped determine the vision field accordingly. In this context, a total of 32 participants were investigated in terms of their peripheral visual angle and the field of vision. The data collected were analyzed in terms of several statistical tests such as One-Sample t-test, multivariate ANOVA and multiple linear regression.

The results of the study indicated that there are significant differences in peripheral vision in terms of age of participants, work qualification, work experience, area of expertise and previous safety training experience. The study further revealed that most of the participants failed to satisfy both OSHA requirements about peripheral vision, and normal limits defined in the previous literature. The study further implies that participants, who reported previous sight problems or eye diseases are more vulnerable to construction site accidents.

Construction site safety remains a major concern for most construction companies despite the latest developments in technology. Several companies are struggling with poor safety performance, occupational injuries and illnesses, and work-related accidents resulting in fatalities. However, the root causes behind several construction accidents are still vague due to different dynamics in the construction industry. Among these root causes, poor sight, vision and or eye diseases constitute an important part. Hence, the study provides empirical evidence with the workers checked for eye health to help policymakers and industry practitioners in terms of developing awareness for eye-related injuries and accidents and review their safety programs accordingly.

This work aims to explore why people review their experienced online shopping in such a manner (promptness), and what is the potential relationship between the users’ review promptness and review motivation as well as reviewed contents.

To evaluate the customers’ responses regarding their shopping experiences, in this paper, the “purchase-review” promptness is studied to explore the temporal characteristics of users’ reviewing behavior online. Then, an aspect mining method was introduced for assessment of review text. Finally, a theoretical model is proposed to analyze how the customers’ reviews were formed.

First, the length of time elapsed between purchase and review was found to follow a power-law distribution, which characterizes an important number of human behaviors. Within online review behaviors, this meant that a high frequency population of reviewers tended to publish relatively quick reviews online. This showed that the customers’ reviewing behaviors on e-commerce websites may have been affected by extrinsic motivations, intrinsic motivations or both. Second, the proposed review-to-feature mapping technique is a feasible method for exploring reviewers’ opinions in both massive and sparse reviews. Finally, the customers’ reviewing behaviors were found to be mostly consistent with reviewers’ motivations.

First, the authors propose that the “promptness” of users in posting online reviews is an important external manifestation of their motivation, product experience and service experience. Second, a semi-supervised method of review-to-aspect mapping is used to solve the data quality problem in mining information from massive text data, which vary in length, detail and quality. Finally, a huge amount of e-commerce customers’ purchase-review promptness are studied and the results indicate that not all product features are responsible for the “prompt” posting of users’ reviews, and that the platform’s strategy to encourage users to post reviews will not work in the long term.

Food markets have gathered a growing attention by tourism researchers and practitioners in recent years. Many destinations have placed food markets as a tourism attraction which allows visitors to discover a territory through its food. Drawing on the understanding of markets as identity and tourism icons, this paper aims to analyze the role of urban food markets in the different stages of the tourist experience from a visitor perspective.

To achieve this, a qualitative design was implemented to interview 18 tourists who visited for the first time the city of Palermo, the capital of the Mediterranean island of Sicily, Italy.

The results of this study show the factors that drive the motivations, the experiences and the satisfaction of visitors to food markets and provide relevant perspectives into the management and marketing of food tourism in urban environments.

The originality of this paper lies on the understanding of the relationships between visitor experiences and urban food markets.

To predict the real behavior of the full-scale model using a scale model, optimized simulation should be achieved. In reinforced concrete (RC) models, scaling can be substantially more critical than in single-material models because of multiple reasons such as insufficient bonding strength between small-diameter steel bars and concrete, and excessive aggregate size. Overall, there is a shortfall of laboratory and field-testing studies on the behavior of secant pile walls under lateral and axial loads. Accordingly, the purpose of this study is to investigate the validity and the performance of the 1/10th scaled RC secant pile wall under the influence of different types of loading.

The structural performance of the examined models was evaluated using two types of tests: bending and axial compression. A self-compacting concrete mix was suggested, which provided the best concrete mix workability and appropriate compressive strength.

Under axial and bending loads, the failure modes were typical. Where the plain and reinforced concrete piles worked in tandem to support the load throughout the loading process, even when they failed. The experimental results were relatively consistent with some empirical equations for calculating the modulus of elasticity and critical buckling load. This confirmed the validity of the proposed model.

According to the analysis and verification of experimental tests, the proposed 1/10th scaled RC secant pile model can be used for future laboratory purposes, especially in the field of geotechnical engineering.

This paper aims to analyse the influence of perceived value (PV), sensation seeking (SS) and low crowding (LC) on the satisfaction and behavioural intention (BI) of Indian pilgrim tourists to Kartarpur Corridor, Pakistan. In addition, it identifies the mediation effect of satisfaction in the structural relationship between PV, SS and LC as exogenous variables and BI as an endogenous variable.

By using convenience sampling, out of 510 questionnaires distributed among the Indian pilgrim tourists returning from Kartarpur Sahib, Pakistan, a total of 404 completely filled surveys were used to evaluate the robustness of the theoretical framework. Data analysis and empirical testing of the suggested model are conducted using descriptive statistics, confirmatory factor analysis and structural equation modelling.

The results reveal that PV, SS and LC positively affect the satisfaction of tourists crossing an international boundary, while satisfaction is the positive and significant antecedent of BI. Moreover, the indirect effects of PV, SS and LC on BI via satisfaction are found to be significant.

The previous literature has not paid much attention to the satisfaction and BI of tourists crossing an international border. The present article contributes to the existing volume of knowledge related to the satisfaction and BI of cross-border tourists. The study results may be useful for tourism marketers to better understand the factors that affect the satisfaction and BI of cross-border tourists.

(PV)、寻求感觉 (SS) 和低拥挤度 (LC) 对前往巴基斯坦 Kartarpur 走廊的印度朝圣游客的满意度和行为意向 (BI) 的影响。此外, 它确定了满意度在 PV、SS 和 LC 之间的结构关系中的中介作用作为外生变量, BI 作为内生变量。

通过便利抽样, 在从巴基斯坦 Kartarpur Sahib 返回的印度朝圣游客中分发的 510 份问卷中, 共有 404 份完全填写的调查被用来评估理论框架的稳健性。使用描述性统计、验证性因素分析 (CFA) 和结构方程模型 (SEM) 对建议模型进行数据分析和实证检验。

结果表明, 感知价值、寻求感觉和低拥挤度对跨越国际边界的游客的满意度有积极影响, 而满意度是行为意图的积极和重要的先决条件。此外, 感知价值、感觉寻求和低拥挤度通过满意度对行为意图的间接影响被发现是显着的。

以前的文献并没有太多关注游客穿越国际边界的满意度和行为意图。本文有助于增加与跨境游客的满意度和行为意图相关的现有知识量。研究结果可能有助于旅游营销人员更好地了解影响跨境游客满意度和行为意向的因素。

El objetivo de este artículo es analizar la influencia del valor percibido (VP), la búsqueda de sensaciones (SS) y el bajo nivel de aglomeración percibido (BA) en la satisfacción y la intención de comportamiento (IC) de los turistas peregrinos indios en Kartarpur, Pakistán. Adicionalmente, identifica el efecto mediador de la satisfacción en la relación estructural entre VP, SS y BA, como variables exógenas, e IC, como variable endógena.

Mediante un muestreo de conveniencia, de los 510 cuestionarios distribuidos entre los turistas peregrinos indios que regresaban de Kartarpur Sahib, Pakistán, se utilizaron un total de 404 cuestionarios, completamente cumplimentados, para evaluar la solidez del marco teórico. El análisis de datos y la evaluación empírica del modelo propuesto se realizan mediante estadística descriptiva, análisis factorial confirmatorio (AFC) y modelos de ecuaciones estructurales (MEE).

Los resultados revelan que el valor percibido, la búsqueda de sensaciones y el bajo nivel de aglomeración afectan positivamente a la satisfacción de los turistas transfronterizos, mientras que la satisfacción es el antecedente positivo y significativo de la intención de comportamiento. Además, son significativos los efectos indirectos del valor percibido, la búsqueda de sensaciones y el bajo nivel de aglomeración sobre la intención de comportamiento, a través de la satisfacción.

La literatura no ha prestado mucha atención a la satisfacción y la intención de comportamiento de los turistas peregrinos que cruzan una frontera internacional. El presente artículo contribuye al conocimiento existente relacionado con la satisfacción y la intención de comportamiento de los turistas transfronterizos. Los resultados del estudio pueden ser útiles para que los especialistas en marketing turístico internacional comprendan mejor los factores que afectan a la satisfacción y la intención de comportamiento de los turistas transfronterizos.

This study aims to posit the extended version of the technology acceptance model to explain the psychological factors of Muslim university students’ smartphone addictive behaviour and neglect of studies. In particular, this research conceptualised addictive behaviour as smartphone dependency and proposed process usage, flow, habitual smartphone behaviour and preference for online social interaction (POSI) as the associated factors. Besides, this study investigated the effect of smartphone dependency on the neglect of studies.

Following the quantitative research design, this research tested the proposed model using data collected from Muslim students’ smartphone users in Malaysia. The analyses were based on the partial least squares–structural equation modelling technique.

The results revealed that flow has the most significant influence on smartphone dependency. Habitual behaviour and process usage were also significant predictors, but POSI was not significantly associated with smartphone dependency. Also, smartphone dependency was significantly related to the neglect of studies.

This study provides empirical support to guide university management in preventing Muslim students’ over-dependence on smartphones. The Muslim community is synonymous with time management, where overdependence would diminish students’ religious and academic responsibilities. Such overdependence can cause neglect of studies; thus, the research findings can assist the university in introducing policies and campaigns that can educate students on the negative consequences of this pervasive digital addiction and ways to overcome them. This study contributes to the body of knowledge in understanding Muslim students coping mechanisms through smartphone usage.

This study contributes to the literature by demonstrating the psychological factors of smartphone addiction and the resultant effect on the neglect of studies among Muslim university students.

The Association of Southeast Asian Nations (ASEAN) has evolved into ASEAN Economic Community (AEC), which aims to pursue a single market and production base to transform ASEAN into a dynamic, competitive and global region. ASEAN is inherently heterogeneous that potentially could promote further economic integration, fundamentally, through the interactions between intra-regional outward foreign direct investment (OFDI), export trade and economic growth. Hence, this paper attempts to explore the causal relationship between intra-ASEAN OFDI, intra-ASEAN exports and economic growth of ASEAN-10 countries.

This paper attempts to explore the causal relationship between intra-ASEAN OFDI, intra-ASEAN exports and economic growth of ASEAN-10 countries, using regional panel data based on Dumitrescu and Hurlin (2012) non-causality analysis, which allows us to take into account of the heterogeneity in terms of causal relationships.

The empirical study shows bidirectional causality between intra-ASEAN export and intra-ASEAN OFDI, a bidirectional causality between intra-ASEAN export trade and intra-ASEAN economic growth and a unidirectional causality running from the real GDP of ASEAN-10 countries to intra-ASEAN OFDI.

The findings have implications for the extent of intra-ASEAN production fragmentation, policy formulations for furthering intra-regional OFDI, and trade to achieve the ASEAN integration agenda.

The main contribution of the current study is to use the panel causality analysis for an emerging dynamic region, specifically, the AEC. As far as we know, this is the first study ascertaining whether there is a causality relationship between intra-ASEAN OFDI, intra-ASEAN export trade and economic growth of ASEAN-10, which is a longstanding objective of ASEAN integration agenda.

The purpose of the paper is to develop a hybrid method to prioritize risk factors (RFs) of sustainable supply chain (SSC) considering sustainable customer requirements (CRs) and uncertain evaluation.

In the proposed method, fuzzy Kano model (FKM) is applied to prioritize sustainable CRs considering customer satisfaction (CS) and objective weight of each CR, the interval-valued intuitionistic fuzzy (IVIF) set theory is integrated with quality function deployment (QFD) to translate the sustainable CRs into RFs of SSC under uncertain environment and the IVIF cross-entropy is used to conduct objective analysis to prioritize RFs. Finally, a case in air-conditioner-manufacturing company is presented to demonstrate the proposed method.

A case study of SSC risk management, the comparative analysis and associated discussions are conducted to illustrate the feasibility and effectiveness of the proposed method. The results obtained from the case study shows that RF5 (market share reduction) is the most important RF in the SSC. Compared with the existing methods, the proposed method can integrate sustainable CRs into SSC's RFs, handle uncertain information effectively and obtain objective importance of RFs.

Theoretically, the paper develops a customer-oriented model based on the FKM, QFD, IVIF sets and entropy theory to prioritize RFs of SSC under uncertain environment. The model enables to integrate sustainable CRs into RFs managements and is efficient to deal with the subjectivity and conduct objective analysis to prioritize RFs. In practice, the systematic and correct RFs' priorities analysis provides reliable decision support for the managers to take measures to avoid or mitigate the critical RFs.