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Transportation infrastructure projects are inevitably delayed due to delays in the completion of underground utility relocation. Unfamiliar location, difficulty in utility identification and use of ineffective coordination practices hamper timely completion of utility relocation works. This paper aims to develop integrated road information modeling (RIM) and geographic information system (GIS) models to assist early identification of utilities and effective coordination during utility relocation in infrastructure projects.

An ethnographic action-based case study research methodology was adopted in this paper. Two ongoing infrastructure projects with significant utility relocation delays are chosen as case studies and integrated RIM-GIS models are developed to assist utility relocation. To verify the applications of developed RIM-GIS models, a focus group discussion was conducted with 10 field experts from the considered case studies.

The application of the developed RIM-GIS models enabled 3D visualization of existing underground utilities and enabled identification of utility conflicts before the start of the construction. They also enabled facilitating coordination and reduce utility relocation delays. The evaluation of the developed models shows that the RIM-GIS model approach enabled early planning and coordination and facilitates effective management of utility relocations.

The current practices of using CAD and GIS for utility relocations are inadequate due to the difficulties in characterizing utilities and ineffective coordination practices. The proposed RIM-GIS approach can be adopted as a suitable alternative for effective management of utility relocations.

Several studies have contributed toward integrating BIM and GIS for the analysis of highway and utility infrastructure projects. Efforts on integrating RIM and GIS for the support and management of utility relocations in highway and utility infrastructure projects remain unexplored.

The rapid development of the construction industry requires effective ways to monitor and control the project, and the use of 4D BIM is found to be very efficient. The purpose of this paper is to consider development, application and evaluation of 4D Bridge Information Modelling (BrIM) models for an ongoing bridge project.

An ethnographic action-based case study research methodology is adopted in this study. An ongoing bridge construction project in India is chosen and the 4D BrIM application is evaluated both quantitatively and qualitatively using planned percentage complete (PPC) measurements and semi-structured interviews, respectively.

The evaluation of the case study shows an increase in PPC values from 26.5 to 56.4 per cent after implementation of 4D BrIM in the project. The application of 4D BrIM in the construction phase benefits the project team in material delivery planning, project monitoring and control, construction schedule improvement, documentation and coordination.

The developed models are practically applied to the ongoing project and the positive benefits are observed. It is shown that 4D BrIM has the potential to improve the construction of bridge projects.

Studies have contributed towards the development and implementation of 3D BrIM models for bridge projects. Limited efforts have been taken to analyse how 4D BrIM models help in the overall management of bridge projects. This study adds value to the existing literature through development, implementation and systematic qualitative and quantitative evaluation of 4D BrIM models.

The relocation of existing underground utilities in urban environments is complex because of the existence of multiple utility agencies being responsible for numerous utilities and over constrained space and time to execute maintenance works. Unfamiliar location and insufficient records of maintenance data hamper the flow of work, causing unnecessary delays and conflicts. The aim of the paper is to explore 4 dimensional Building Information Modeling as a smart solution for the management of multiple utility data for a relocation project in an urban setting.

An empirical case-based research methodology is used to collect data and develop the BIM models. Two ongoing construction projects in an urban city are empirically studied, and 4D BIM models of identified utilities are developed to assist management and relocation of existing utilities.

The developed BIM models enabled the location of existing sub-surface utilities through 3D visualization and also enabled clash detection. The 4D simulation of BIM model enabled the tracking of actual progress of relocation works and thereby helped in taking necessary actions to minimize forthcoming delays. The evaluation of the developed model showed that the application of 4D BIM improved communication and coordination during utility relocation works.

4D BIM for utility infrastructure provides better management of utility information. They provide utility stakeholders an efficient way to coordinate, manage utility relocation processes through improved visualization and communication with a reduction in delays and conflicts.

Limited efforts were made using 3D BIM for sub-surface utility infrastructure in visualization and management of utility information. Efforts using 4D BIM in coordination and management of utility projects are left unexplored. This study adds value to the current literature through the application of 4D BIM for utility relocation projects.

In confining the COVID-19 pandemic, social distancing was key, with traditional, bricks-and-mortar retailing being shut-down for weeks, and have nearly universally moved into online channels. At the same time, online players have started to operate physical stores. This chapter provides an analysis of how COVID-19 has accelerated the digitalization of retailing, focusing on the shift towards the online and mobile shopping channel. On the basis of success stories and failures in retail business practice, lessons are distilled for developing effective future phygital scenarios.

This research paper aims to investigate the critical factors influencing the live commerce industry and their implications for Key Opinion Leaders (KOLs) and brands.

The study comprehensively reviews previous research, develops relevant hypotheses and utilizes personal information from 66 anchors, along with data from 23,000 product links obtained from the backends of live commerce platforms.

The study emphasizes that KOLs with higher traffic significantly influence Gross Merchandise Volume (GMV). Intriguingly, KOLs with lower traffic levels exhibit a more pronounced effect on Return on Investment (ROI), highlighting their significance in driving profitability. Furthermore, the study explores the correlation between KOL hashtags and GMV/ROI and the intricate relationship between product types and KOL hashtags.

The findings significantly enhance the understanding of live shopping behavior and provide valuable insights for business management strategies. Practitioners can leverage this empirical evidence to make informed decisions, utilizing extensive data samples of KOLs and brands.

This research contributes unique insights into the live-streaming commerce industry using backend data from Live Streaming E-commerce platforms. The findings are more accurate based on market data than previous studies that relied on platform reviews or questionnaires. Additionally, this paper investigates the impact of KOLs on the performance of live e-commerce from three perspectives: GMV, ROI and hot-selling products.

The paper aims to clarify the validity of the digital marketing model for software IT professionals. It proposes a model of buying behavior practices followed in digital era and outlining all six critical factors that were considered for developing this model. So the main objective of the study is to validate the success of digital marketing model through a survey-based results and case study analysis and synthesize the results for the success of digital marketing model for software development industry.

The paper opted for an exploratory study using the structured questionnaire. The data were collected using online platform. The present study covers the analysis of a survey of 406 IT professionals from software development industry to understand their buying behavior through digital marketing. Regression technique has been used to find the important predictors of the digital marketing model with its impact on the demographic variables.

The paper provides empirical insights about digital marketing model whose validity has been checked by synthesizing the results of both overall and case study. The results show that predictors elucidate Durbin–Watson in the acceptable range and are suitable for the model.

Data were collected during Covid period. So it was quite a challenging task and moreover sample size could not be increased due to this problem.

The paper includes implications for the development of digital marketing model for software IT professionals. Finally, this study will contribute to the further research for many prominent researchers who express their doubts about the state and future of digital marketing studies, characterized by contradictory and confusing empirical findings. A larger quantitative study on IT companies' digital marketing from different regions is recommended as a future line of research in order to encourage the unique globalized level model development.

Many organizations use digital marketing successfully since with the great amount of awareness generated about the digitalization among the customers has propelled for its development.

This paper fulfills an identified need to study how IT professional's digital buying marketing practices need to be studied.

Present study aimed to integrate Geographic Information Systems (GIS) and Building Information Modeling (BIM) in conjunction with multicriteria decision-making (MCDM) to enhance infrastructure investment planning.

This analysis combines GIS databases with BIM simulations for a novel highway project. Around 150 potential alternatives were simulated, narrowed to 25 more effective routes and 3 options underwent in-depth analysis using PROMETHEE method for decision-making, based on environmental, cost and safety criteria, allowing for comprehensive cross-perspective comparisons.

A comprehensive framework proposed was validated through a case study. Demonstrating its adaptability with customizable parameters. It aids decision-making, cost estimation, environmental impact analysis and outcome prediction. Considering these critical factors, this study holds the potential to advance new techniques for assessment and planning railways, power lines, gas and water.

The study acknowledges limitations in GIS data quality, particularly in underdeveloped areas or regions with limited technology access. It also overlooks other pertinent variables, like social, economic, political and cultural issues. Thus, conclusions from these simulations may not entirely represent reality or diverse potential scenarios.

The proposed method automates decision-making, reducing subjectivity, aids in selecting effective alternatives and considers environmental criteria to mitigate negative impacts. Additionally, it minimizes costs and risks while demonstrating adaptability for assessing diverse infrastructures.

By integrating GIS and BIM data to support a MCDM workflow, this study proposes to fill the existing research gap in decision-making prioritization and mitigate subjective biases.

Notwithstanding the Geographical Information System (GIS) being a fast-emerging green area of a digital revolution, the available studies focus on different subject areas of application in the construction industry, with no study that clarifies its knowledge strands. Hence, this systematic review analyses GIS core area of application, its system integration patterns, challenges and future directions in the construction industry.

A systematic review approach was employed, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. A total of 60 articles published between 2011 and 2022 were identified, thoroughly reviewed and analysed using thematic analysis.

The analysis revealed spatial planning and design, construction-task tracking, defect detection and safety monitoring as its four main application-based areas. The findings showed that the adoption of GIS technology is rapidly expanding and being utilised more in building projects to visual-track construction activities. The review discovered an integrated pattern involving data flow from a device and window-form application to GIS, the pathways to data exchange between platforms to platforms, where ArcGIS is the most used software. Furthermore, the study highlighted the lack of interoperability between heterogeneous systems as the crux impediment to adopting GIS in the built environment.

The research provides a deep insight into possible areas where GIS is adopted in the construction industry, identifying areas of extensive and limited application coverage over a decade. Besides, it demystifies possible pathways for future integration opportunities of GIS with other emerging technologies within the construction industry.

Travelers are increasingly planning trips using smart travel planning apps to manage travel-related activities. They obtain their preferred tour itineraries with the use of these apps and subsequently choose their tour destinations. Therefore, the purpose of this study is to investigate the effects of smart tour itineraries on travelers and explain what drives the continual use of them.

Drawing on the unified theory of acceptance and the use of technology model and experiential consumption (UTAUT), the authors conducted this study in Malaysia with a sample of 307 travelers who are familiar with the use of mobile apps.

The results confirmed that all the UTAUT dimensions except the facilitating condition are significantly related to the intention to use the itinerary. Both the hedonic and utilitarian values in personal consumption significantly motivate the travelers in the behavioral intention to use the itinerary.

This paper offers a good explanation of how the itinerary plans can be used by examining the theories behind the current app’s usage. Many researchers have examined the adoption of the smart travel apps, which has rarely been tied to the antecedents that drive how the travelers use itineraries that are designed by the smart travel apps. This study contributes to the research regarding using the mobile travel apps by developing an integrative model to explain the traveler intentions to use smart travel itineraries.

游客越来越多地使用智慧旅游计划App来管理他们的旅游相关活动。他们通过这样的App获得行程从而选择他们旅游目的地。因此, 本论文旨在研究智慧旅游行程对游客的影响, 并探究哪些因素驱使他们继续使用智慧旅游行程。

本论文采用UTAUT模型, 在马拉西亚取样, 共搜集到307位熟悉移动App的游客数据。

研究论文结果肯定了UTAUT各项因素除了辅助条件, 其他因素都显著与使用智慧行程息息相关。享乐型价值和实用型价值都对游客个人使用行为有着显著效果。

本论文通过检验App使用理论解释了行程计划如何被使用。许多研究学者已经检验了智慧旅游App的使用, 但是很少真正与游客如何使用App生成行程的驱动因素相结合。本论文对理论有贡献, 通过开发整合模型以解释游客使用智慧旅游行程的行为。

This study aims to examine live streaming experiences of business students’ at the tertiary education level, and how the use of this interactive platform satisfies their affective, cognitive, social and hedonic needs in learning. Likewise, it explored the influence of live streaming class on the learning outcome needed in achieving self-directed learning.

Drawing on the uses and gratifications theory, a conceptual framework was developed to discover the impact of interactive live streaming platform in meeting learners’ needs required for self-directed learning. A survey was conducted with a sample of 402 business undergraduate students from 5 universities. Data was analyzed with covariance-based structural equation modeling.

This study confirmed that learners’ gratifications gained from live streaming encouraged them to collaborate with the instructors in meeting the learning outcomes. The findings also supported that the interactive nature of live streaming offers the opportunity for students to learn independently. Thus, it sheds new light on how a live streaming learning environment can be further developed in promoting self-directed learning.

This study offers a novel understanding of live stream class adoption by examining learners’ needs from a uses and gratification perspective. It also contributed new insight to the existing literature on live streaming technology use in education to promote self-directed learning.