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1 – 10 of over 2000Project scheduling/rescheduling occurs in all stages of projects, from feasibility stage to monitoring stage to completion. Since the late 1950s, network‐based techniques CPM…
Abstract
Project scheduling/rescheduling occurs in all stages of projects, from feasibility stage to monitoring stage to completion. Since the late 1950s, network‐based techniques CPM (critical path method) and PERT (programme evaluation review technique) are the techniques commonly used for project management. However, there are limitations in working with these tools that need to be overcome. Also, the computing ef. ciency of classic CPM/PERT analysis needs to be enhanced. Substantial research has been carried out globally in this field covering all areas of project scheduling: time scheduling, resource scheduling, cost scheduling, modern project management techniques, advanced mathematical models used for construction scheduling, and so on. To understand and document this research status, the authors have carried out an extensive study of various journals, published and unpublished research papers, and present this literature review.
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Mohammed Hamza Momade, Serdar Durdyev, Nguyen Van Tam, Shamsuddin Shahid, Jasper Mbachu and Yusra Momade
Vietnam's construction technology (CT) adoption is low when compared to other countries with similar gross domestic product (GDP) per capita resulting in lesser productivity. The…
Abstract
Purpose
Vietnam's construction technology (CT) adoption is low when compared to other countries with similar gross domestic product (GDP) per capita resulting in lesser productivity. The research objectives are: (1) To undertake an extensive literature review on CT adoption challenges; (2) To investigate CT adoption challenges unique to Vietnam's construction sector; and (3) To propose data-driven solutions for a greater rate of CT adoption.
Design/methodology/approach
A two-stage descriptive survey method was adopted in alignment with the research aim and objectives. Based on the literature review of 215 articles, a questionnaire was designed and administered to experienced construction managers (CM) to identify whether CT has been adopted, barriers to adoption, drivers, and the most popular CT tools. Descriptive statistics were used to summarize the characteristics of interest in the empirical dataset and SPSS-based inferential statistics to estimate the means, frequency counts, variance and test hypotheses that informed the drawing of conclusions concerning the research objectives.
Findings
The popular CT tools identified were Autodesk, Microsoft Office and Primavera. The most influential CT adoption barriers: (1) Unknow`n impact on productivity, (2) Late implementation of software in construction projects, (3) Lack of understanding of importance and needs in the construction industry (4) Lack of funds during budget planning for technological advances and implementation (5) Lack of experts required for technological change, and insufficient skills in the industry.
Practical implications
It is expected that the findings could inform data-driven regulatory and practice reforms targeted at increasing greater uptake of CT in Vietnam with potential for replication in countries facing similar adoption challenges.
Originality/value
The findings are intended to support data-driven regulatory and practice improvements aimed at improving CT adoption in Vietnam, with the possibility for replication in other countries facing comparable problems.
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Devid Jegerson and Syed Zamberi Ahmad
To understand the goals and key performance indicators of online social media marketing and the primary drivers of interaction in a social community. To analyze the challenges…
Abstract
Learning outcomes
To understand the goals and key performance indicators of online social media marketing and the primary drivers of interaction in a social community. To analyze the challenges faced by the team during the launch of the new digital platform National Bank of Fujairah (NBF) Connect, interacting with an already online present small- and medium-sized enterprise (SME) community. To analyze the concept of community marketing in an emerging country and appreciate the value of digital platforms in customer relationship management. To identify and critically evaluate insights on which ideas for marketing communication activities for NBF Connect can be built upon. To build an operational plan for NBF Connect customer engagement on online social communities.
Case overview/synopsis
In 2020, NBF launched a new digital platform for SMEs in the United Arab Emirates (UAE) called “NBF Connect” with the purpose of redefining banking services for the small businesses sector. The digitalization wave in the UAE was revolutionizing various industry sectors. The global banking industry was already impacted by digitalization and some banks in the UAE, especially in the retail segment (Emirates NBD, 2017), had already introduced many technology-led innovations bringing more effectiveness in the processes and better customer experience. However, the SME banking segment was lagging in terms of innovation. In 2020, the COVID-19 pandemic situation, with compulsory lockdowns and social distancing, changed the way of doing business for entire industries and increased the pressure on banks for the provisioning of new digital products. Rose joined NBF in the first part of 2020 as Product Owner of the project NBF Connect. The new digital platform was ideated by NBF to be differentiated from other banking products. It was co-created with insights from and regular interaction with the SME community. After the deployment of the first version of the platform in April 2020, Rose realized that the user adoption and commercial results were below par. Over the next three months, only a few users were using the platform with shallow interactions. This case study looks at Rose’s journey as NBF refined and evolved its SME banking platform, including developing and positioning the digital platform in the market, identifying competitive advantages and developing the right commercial strategy to monetize NBF’s investment in the digital platform’s development.
Complexity Academic Level
Students are expected to have knowledge of the issues relevant to marketing and communication management, product management and business development.
Supplementary materials
Teaching Notes are available for educators only.
Subject code
CSS 8: Marketing
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Ashulekha Gupta and Rajiv Kumar
Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types…
Abstract
Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types of employment have risen significantly, there has been significant growth in adopting AI technology in enterprises. Despite the anticipated benefits of AI adoption, many businesses are still struggling to make progress. This research article focuses on the influence of elements affecting the acceptance procedure of AI in organisations.
Design/Methodology/Approach: To achieve this objective, propose a hierarchical paradigm for the same by developing an Interpretive Structural Modelling (ISM). This paper reveals the barriers obstructing AI adoption in organisations and reflects the contextual association and interaction amongst those barriers by emerging a categorised model using the ISM approach. In the next step, cross-impact matrix multiplication is applied for classification analysis to find dependent, independent and linkages.
Findings: As India is now focusing on the implementation of AI adoption, therefore, it is essential to identify these barriers to AI to conceptualise it systematically. These findings can play a significant role in identifying essential points that affect AI adoption in organisations. Results show that low regulations are the most critical factor and functional as the root cause and further lack of IT infrastructure is the barrier. These two factors require the most attention by the government of India to improve AI adoption.
Implications: This study may be utilised by organisations, academic institutions, Universities, and research scholars to fill the academic gap and faster implementation of AI.
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Temidayo Oluwasola Osunsanmi, Clinton Ohis Aigbavboa, Wellington Didibhuku Thwala and Ayodeji Emmanuel Oke
The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The…
Abstract
The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.
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P.K. Ullas, Dhiman Chatterjee and S. Vengadesan
Understanding the interaction of turbulence and cavitation is an essential step towards better controlling the cavitation phenomenon. The purpose of this paper is to bring out the…
Abstract
Purpose
Understanding the interaction of turbulence and cavitation is an essential step towards better controlling the cavitation phenomenon. The purpose of this paper is to bring out the efficacy of different modelling approaches to predict turbulence and cavitation-induced phase changes.
Design/methodology/approach
This paper compares the dynamic cavitation (DCM) and Schnerr–Sauer models. Also, the effects of different modelling methods for turbulence, unsteady Reynolds-averaged Navier–Stokes (URANS) and detached eddy simulations (DES) are also brought out. Numerical predictions of internal flow through a venturi are compared with experimental results from the literature.
Findings
The improved predictive capability of cavitating structures by DCM is brought out clearly. The temporal variation of the cavity size and velocity illustrates the involvement of re-entrant jet in cavity shedding. From the vapour fraction contours and the attached cavity length, it is found that the formation of the re-entrant jet is stronger in DES results compared with that by URANS. Variation of pressure, velocity, void fraction and the mass transfer rate at cavity shedding and collapse regions are presented. Wavelet analysis is used to capture the shedding frequency and also the corresponding occurrence of features of cavity collapse.
Originality/value
Based on the performance, computational time and resource requirements, this paper shows that the combination of DES and DCM is the most suitable option for predicting turbulent-cavitating flows.
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Bastian Burger, Dominik K. Kanbach, Sascha Kraus, Matthias Breier and Vincenzo Corvello
The article discusses the current relevance of artificial intelligence (AI) in research and how AI improves various research methods. This article focuses on the practical case…
Abstract
Purpose
The article discusses the current relevance of artificial intelligence (AI) in research and how AI improves various research methods. This article focuses on the practical case study of systematic literature reviews (SLRs) to provide a guideline for employing AI in the process.
Design/methodology/approach
Researchers no longer require technical skills to use AI in their research. The recent discussion about using Chat Generative Pre-trained Transformer (GPT), a chatbot by OpenAI, has reached the academic world and fueled heated debates about the future of academic research. Nevertheless, as the saying goes, AI will not replace our job; a human being using AI will. This editorial aims to provide an overview of the current state of using AI in research, highlighting recent trends and developments in the field.
Findings
The main result is guidelines for the use of AI in the scientific research process. The guidelines were developed for the literature review case but the authors believe the instructions provided can be adjusted to many fields of research, including but not limited to quantitative research, data qualification, research on unstructured data, qualitative data and even on many support functions and repetitive tasks.
Originality/value
AI already has the potential to make researchers’ work faster, more reliable and more convenient. The authors highlight the advantages and limitations of AI in the current time, which should be present in any research utilizing AI. Advantages include objectivity and repeatability in research processes that currently are subject to human error. The most substantial disadvantages lie in the architecture of current general-purpose models, which understanding is essential for using them in research. The authors will describe the most critical shortcomings without going into technical detail and suggest how to work with the shortcomings daily.
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Vanita Ahuja, Jay Yang, Martin Skitmore and Ravi Shankar
Building project management (BPM) requires effective coordination and collaboration between multiple project team organisations which can be achieved by real time information flow…
Abstract
Purpose
Building project management (BPM) requires effective coordination and collaboration between multiple project team organisations which can be achieved by real time information flow between all participants. In the present scenario, this can be achieved by the use of information communication technologies (ICT). The purpose of this paper is to present part of a research project conducted to study the causal relationships between factors affecting ICT adoption for BPM by small and medium enterprises.
Design/methodology/approach
This paper discusses structural equation modelling (SEM) analysis conducted to test the causal relationships between quantitative factors. Data for quantitative analysis were gathered through a questionnaire survey conducted in the Indian construction industry.
Findings
SEM analysis results help in demonstrating that an increased and matured use of ICT for general administration within the organisation would lead to: an improved ICT infrastructure within the organisation; development of electronic databases; and a staff that is confident of using information technology (IT) tools. In such a scenario, staff would use advanced software and IT technologies for project management (PM) processes and that would lead to an increased adoption of ICT for PM processes. But, for general administration also, ICT adoption would be enhanced if the organisation is interacting more with geographically separated agencies and senior management perceives that significant benefits would accrue by adoption of ICT. All the factors are inter‐related and their effect cannot be maximized in isolation.
Originality/value
The results provide direction to building project managers for strategically adopting the effective use of ICT within their organisations and for BPM in general.
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Sadia Chishty, Monika and Nimali Singh
The purpose of the study was to assess the impact of nutrition and health counselling on quality of life (QoL) among celiac children (CC) aged 7-12 years, which was reported by…
Abstract
Purpose
The purpose of the study was to assess the impact of nutrition and health counselling on quality of life (QoL) among celiac children (CC) aged 7-12 years, which was reported by the parent. So far, no study has emphasized on impact of nutritional counselling on QoL in CC. The QoL in the present study was reported by parents of celiac and non-celiac (NC) subjects.
Design/methodology/approach
This is an interventional study. Follow-up celiac cases aged 7-12 years (n = 50) were compared with NC cases (n = 25). A 24-item instrument was standardized for reliability and validity and was used to assess the QoL of children on a 100-score scale. The scale used four dimensions and explored physical, emotional, social and family outlook. The impact of health counselling using posters, leaflets and a booklet prepared on simplification of disease, gluten-free diet and its treatment was determined.
Findings
Total QoL scores were better in NC children (7-9 years), whereas celiac pre-adolescents (CP; 10-12 years) showed higher QoL scores than NC pre-adolescents. NC QoL scores were significantly higher than CC in emotional and mental domain (p < 0.02) and family outlook (p < 0.01). In CP, physical well-being (p < 0.01) and social well-being (p < 0.04) were significantly higher, whereas family outlook was significantly lower (p < 0.01). After repetitive counselling sessions, the CC had higher scores than their NC siblings. Postintervention QoL scores in CC (7-9 years) and pre-adolescents improved from 77.5 to 80.95 and from 80.16 to 83.75, respectively, and a significant positive shift was seen in family outlook (p < 0.05).
Originality/value
This study presents a comparative analysis on impact of nutrition counselling on QoL in Indian CC and their comparison with NC siblings matched for age.
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Digitalization and marketing technologies have made it possible to overcome some barriers to pricing – a multidisciplinary field between marketing, finance and IT – and have set…
Abstract
Digitalization and marketing technologies have made it possible to overcome some barriers to pricing – a multidisciplinary field between marketing, finance and IT – and have set the stage for a paradigm shift in the pricing profession. Value creation, the pricing process, and price communication have been transformed by innovative business models and advanced algorithmic and human–machine solutions. This chapter synthesizes the literature to date and provides a comprehensive framework for an all-encompassing 360° pricing approach that broadens the understanding of pricing in the context of digital business across all steps of the price management process. Starting from product attributes and motivational beliefs in consumers' value assessment and adoption of (technological or digital) products or services, new business models and pricing models emerge in the digital economy, human–machine solutions for price implementation and repricing are increasingly applied, and price search and communication take place through a variety of digital communication channels. Each stage of this framework discusses concrete examples, highlighting the freemium strategy, the subscription model, price tracking and repricing tools, and digital price information channels such as e-commerce, marketplace, or price comparison platforms. The implications for price management in a digital, technology-driven landscape are discussed from the executive level to the analyst level.
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