Search results
1 – 10 of 16Shaonan Shi, Feixiang Tang, Yongqiang Yu, Yuzheng Guo, Fang Dong and Sheng Liu
Hoping to uncover the physical principles of the vibration of the functionally graded material (FGM) microplate, by which the authors can make contributions to the design and…
Abstract
Purpose
Hoping to uncover the physical principles of the vibration of the functionally graded material (FGM) microplate, by which the authors can make contributions to the design and manufacturing process in factories like micro-electro-mechanical system (MEMS) and other industries.
Design/methodology/approach
The authors design a method by establishing a reasonable mathematical model of the physical microplate composed of a porous FGM.
Findings
The authors discover that the porosity, the distributions of porosity, the power law of the FGM and the length-to-thickness ratio all affect the natural frequency of the vibration of the microplate, but in different ways.
Originality/value
Originally proposed a model of the micro FGM plate considering the different distributions of the porosity and scale effect and analyzed the vibration frequency of it.
Details
Keywords
Mohd Tariq Jamal, Imran Anwar, Nawab Ali Khan and Gayas Ahmad
Working remotely in a COVID-19-induced lockdown has been challenging for both organisations and their employees; studies report that job demands changed, and teleworkers…
Abstract
Purpose
Working remotely in a COVID-19-induced lockdown has been challenging for both organisations and their employees; studies report that job demands changed, and teleworkers experienced increased burnout. This paper explores the negative employee outcomes that this work arrangement brings along and offers possible solutions to counter such negative outcomes since they could be detrimental to the much-touted future of work.
Design/methodology/approach
The study adopted a time-lagged longitudinal design and collected two-waved data from 403 quaternary sector employees. The data were analysed using structural equation modelling and model-21 in PROCESS macro for SPSS.
Findings
Findings affirm that employees experienced increased job demands during this crisis. Employees reported an increase in turnover intention because of burnout caused by increased job demands. However, increased task interdependence alone did not have any effect on turnover intention. The perceived organisational task support (POTS) was found to forestall the negative effect of job demands on burnout, and employee resilience (ER) buffered the burnout and turnover intention relationship.
Practical implications
Providing remote work task support and boosting resilience among employees will help in doing away with the negative effects of teleworking. However, managers shall prioritise reducing job demands for teleworkers.
Originality/value
The linkage between work factors and turnover intention is well established. Drawing on the event system theory and using the COVID-19 context, the present study added to the existing knowledge by studying the role of job demands (workload pressure and task interdependence) on turnover intention through the mediation of burnout. The study goes beyond the existing literature by accounting for POTS as a first-level moderator between job demands and burnout relationship, and ER as a second-level moderator between burnout and turnover intention relationship.
Details
Keywords
Olivia McDermott, Kevin ODwyer, John Noonan, Anna Trubetskaya and Angelo Rosa
This study aims to improve a construction company's overall project delivery by utilising lean six sigma (LSS) methods combined with building information modelling (BIM) to…
Abstract
Purpose
This study aims to improve a construction company's overall project delivery by utilising lean six sigma (LSS) methods combined with building information modelling (BIM) to design, modularise and manufacture various building elements in a controlled factory environment off-site.
Design/methodology/approach
A case study in a construction company utilised lean six sigma (LSS) methodology and BIM to identify non-value add waste in the construction process and improve sustainability.
Findings
An Irish-based construction company manufacturing modular pipe racks for the pharmaceutical industry utilised LSS to optimise and standardise their off-site manufacturing (OSM) partners process and leverage BIM to design skids which could be manufactured offsite and transported easily with minimal on-site installation and rework required. Productivity was improved, waste was reduced, less energy was consumed, defects were reduced and the project schedule for completion was reduced.
Research limitations/implications
The case study was carried out on one construction company and one construction product type. Further case studies would ensure more generalisability. However, the implementation was tested on a modular construction company, and the methods used indicate that the generic framework could be applied and customized to any offsite company.
Originality/value
This is one of the few studies on implementing offsite manufacturing (OSM) utilising LSS and BIM in an Irish construction company. The detailed quantitative benefits and cost savings calculations presented as well as the use of the LSM methods and BIM in designing an OSM process can be leveraged by other construction organisations to understand the benefits of OSM. This study can help demonstrate how LSS and BIM can aid the construction industry to be more environmentally friendly.
Katarzyna Piwowar-Sulej and Qaisar Iqbal
Based on the social exchange theory, the aim of the present study is to examine the effects, both direct and indirect (through sustainability-oriented innovative behaviors…
Abstract
Purpose
Based on the social exchange theory, the aim of the present study is to examine the effects, both direct and indirect (through sustainability-oriented innovative behaviors [SIBs]), of sustainable project leadership (SPL) on sustainable project performance (SPP). Project management approaches (PMAs) (traditional, hybrid and agile) were examined as conditional factors in the “SPL–SIBs” relationship.
Design/methodology/approach
The study employs structural equation modeling based on data collected from 197 software engineering project team members working in the financial industry in Poland.
Findings
The study revealed that SPL significantly, positively affected SPP. It also provided evidence for the significant mediating impact of SIBs in the relationship between SPL and SPP and the conditional effect of agile and hybrid PMAs on the “SPL–SIBs” relationship.
Originality/value
The novelty of this work lies in introducing sustainable leadership into project management research, proposing and testing a unique and complex research framework, designing valid scales for measuring SPL and SPP, and suggesting many theoretical and empirical implications.
Details
Keywords
Dhruba Jyoti Borgohain, Raj Kumar Bhardwaj and Manoj Kumar Verma
Artificial Intelligence (AI) is an emerging technology and turned into a field of knowledge that has been consistently displacing technologies for a change in human life. It is…
Abstract
Purpose
Artificial Intelligence (AI) is an emerging technology and turned into a field of knowledge that has been consistently displacing technologies for a change in human life. It is applied in all spheres of life as reflected in the review of the literature section here. As applicable in the field of libraries too, this study scientifically mapped the papers on AAIL and analyze its growth, collaboration network, trending topics, or research hot spots to highlight the challenges and opportunities in adopting AI-based advancements in library systems and processes.
Design/methodology/approach
The study was developed with a bibliometric approach, considering a decade, 2012 to 2021 for data extraction from a premier database, Scopus. The steps followed are (1) identification, selection of keywords, and forming the search strategy with the approval of a panel of computer scientists and librarians and (2) design and development of a perfect algorithm to verify these selected keywords in title-abstract-keywords of Scopus (3) Performing data processing in some state-of-the-art bibliometric visualization tools, Biblioshiny R and VOSviewer (4) discussing the findings for practical implications of the study and limitations.
Findings
As evident from several papers, not much research has been conducted on AI applications in libraries in comparison to topics like AI applications in cancer, health, medicine, education, and agriculture. As per the Price law, the growth pattern is exponential. The total number of papers relevant to the subject is 1462 (single and multi-authored) contributed by 5400 authors with 0.271 documents per author and around 4 authors per document. Papers occurred mostly in open-access journals. The productive journal is the Journal of Chemical Information and Modelling (NP = 63) while the highly consistent and impactful is the Journal of Machine Learning Research (z-index=63.58 and CPP = 56.17). In the case of authors, J Chen (z-index=28.86 and CPP = 43.75) is the most consistent and impactful author. At the country level, the USA has recorded the highest number of papers positioned at the center of the co-authorship network but at the institutional level, China takes the 1st position. The trending topics of research are machine learning, large dataset, deep learning, high-level languages, etc. The present information system has a high potential to improve if integrated with AI technologies.
Practical implications
The number of scientific papers has increased over time. The evolution of themes like machine learning implicates AI as a broad field of knowledge that converges with other disciplines. The themes like large datasets imply that AI may be applied to analyze and interpret these data and support decision-making in public sector enterprises. Theme named high-level language emerged as a research hotspot which indicated that extensive research has been going on in this area to improve computer systems for facilitating the processing of data with high momentum. These implications are of high strategic worth for policymakers, library stakeholders, researchers and the government as a whole for decision-making.
Originality/value
The analysis of collaboration, prolific authors/journals using consistency factor and CPP, testing the relationship between consistency (z-index) and impact (h-index), using state-of-the-art network visualization and cluster analysis techniques make this study novel and differentiates it from the traditional bibliometric analysis. To the best of the author's knowledge, this work is the first attempt to comprehend the research streams and provide a holistic view of research on the application of AI in libraries. The insights obtained from this analysis are instrumental for both academics and practitioners.
Details
Keywords
Sheshadri Chatterjee, Ranjan Chaudhuri and Demetris Vrontis
This study examines the marketing performance of firms from an international dynamic marketing capability perspective. It also investigates the moderating role of marketing…
Abstract
Purpose
This study examines the marketing performance of firms from an international dynamic marketing capability perspective. It also investigates the moderating role of marketing leadership teams to improve organizations' international marketing performance.
Design/methodology/approach
The authors used dynamic capability view and other related literature to develop a theoretical model, which was validated with the structural equation modelling technique, considering a sample of 455 respondents from Indian firms. The authors also used the multigroup analysis method to examine the moderating impacts of a firm's marketing leadership team on their international marketing performance.
Findings
There is a positive relationship between a firm's dynamic ability factors and its international dynamic-marketing capabilities. The study also finds that a firm's marketing leadership team has a significant positive moderating impact on improving its international marketing performance.
Research limitations/implications
The unique theory-based model clearly explains how a firm's dynamic abilities impact international dynamic marketing capability, which then impacts its international marketing performance. This model can help practitioners, researchers and academicians to understand the significance of a firm's international dynamic capability on international marketing performance. The study also helps firms to understand the moderating influence of marketing leadership teams to improve international marketing performance.
Originality/value
This study adds value to the body of literature on international dynamic marketing, international marketing performance and international marketing knowledge management, on which, until now, few other studies have focused. Thus, this research is unique. The proposed model of international dynamic marketing is also unique with high explanative power.
Details
Keywords
Esra Dobrucali, Sevilay Demirkesen, Emel Sadikoglu, Chengyi Zhang and Atilla Damci
Construction safety is heavily affected by using new technologies in this growing trend of technology adoption. Especially, safety performance is enhanced through the utilization…
Abstract
Purpose
Construction safety is heavily affected by using new technologies in this growing trend of technology adoption. Especially, safety performance is enhanced through the utilization of some effective technologies such as artificial intelligence, virtual reality, BIM and wearable devices. Therefore, the main purpose of this study is to investigate the influence of emerging technologies on construction safety performance and quantify the relationship between those. The proposed components of emerging technologies are BIM, GIS, VR, RFID, AI, ML, eye tracking and serious games and wearable devices, whereas the dimensions of construction safety performance are safety planning, safety training, safety inspection and monitoring, safety audits and reviews and safety leadership.
Design/methodology/approach
A structural model was composed consisting of emerging technologies and safety performance indicators. Then, a questionnaire was designed and administered to construction professionals, and data from 167 projects were analyzed using structural equation modeling. The data were analyzed by using software, called SPSS AMOS.
Findings
The analysis of the structural model proves that there is a positive and significant relationship between emerging technologies and construction safety performance. Moreover, the factor loadings for each factor were found to be high indicating a good representation of the construct by the components developed. Among the technologies, BIM, robotics and automation, AI and wearable devices were detected to be the most significant technologies in terms of impacting safety performance.
Originality/value
The study contributes to the body of knowledge in that it develops a conceptual framework consisting of specific technologies in terms of emerging technologies, reveals the impact of such technologies on safety performance and proposes several tools and strategies for enabling effective safety management along the project lifecycle. Industry practitioners may benefit from the framework developed by adopting such technologies to enhance their safety performance on construction projects.
Details
Keywords
Bahareh Nikmehr, Bidur Kafle and Riyadh Al-Ameri
This study aimed to review various existing methods for improving the quality of recycled concrete aggregates (RCAs) as a possible substitution for natural aggregates (NAs) in…
Abstract
Purpose
This study aimed to review various existing methods for improving the quality of recycled concrete aggregates (RCAs) as a possible substitution for natural aggregates (NAs) in concrete. It is vital as the old paste attached to the RCA weakens its structure. It is due to the porous structure of the RCA with cracks, weakening the interfacial transition zone (ITZ) between the RCA and binding material, negatively impacting the concrete's properties. To this end, various methods for reinforcement of the RCA, cleaning the RCA's old paste and enhancing the quality of the RCA-based concrete without RCA modification are studied in terms of environmental effects, cost and technical matters. Furthermore, this research sought to identify gaps in knowledge and future research directions.
Design/methodology/approach
The review of the relevant journal papers revealed that various methods exist for improving the properties of RCAs and RCA-based concrete. A decision matrix was developed and implemented for ranking these techniques based on environmental, economic and technical criteria.
Findings
The identified methods for reinforcement of the RCA include accelerated carbonation, bio deposition, soaking in polymer emulsions, soaking in waterproofing admixture, soaking in sodium silicate, soaking in nanoparticles and coating with geopolymer slurry. Moreover, cleaning the RCA's old paste is possible using acid, water, heating, thermal and mechanical treatment, thermo-mechanical and electro-dynamic treatment. Added to these treatment techniques, using RCA in saturated surface dry (SSD) mixing approaches and adding fibres or pozzolana enhance the quality of the RCA-based concrete without RCA modification. The study ranked these techniques based on environmental, economic and technical criteria. Ultimately, adding fibres, pozzolana and coating RCA with geopolymer slurry were introduced as the best techniques based on the nominated criteria.
Practical implications
The study supported the need for better knowledge regarding the existing treatment techniques for RCA improvement. The outcomes of this research offer an understanding of each RCA enrichment technique's importance in environmental, economic and technical criteria.
Originality/value
The practicality of the RCA treatment techniques is based on economic, environmental and technical specifications for rating the existing treatment techniques.
Details
Keywords
Talat Islam, Iram Zahra, Saif Ur Rehman and Saqib Jamil
Innovation has become a necessity for the information technology (IT) sector, especially during COVID-19 pandemic. Therefore, this study aims to investigate how knowledge sharing…
Abstract
Purpose
Innovation has become a necessity for the information technology (IT) sector, especially during COVID-19 pandemic. Therefore, this study aims to investigate how knowledge sharing affects employees’ innovative work behavior (IWB). Specifically, the study examined occupational self-efficacy (as mediating mechanism) and entrepreneurial leadership (as boundary condition) to encourage IWB.
Design/methodology/approach
The study used social media platforms to collect data from 270 employees working in the IT sector through “google forms” on convenience basis between March and August, 2021. The study applied structural equation modeling in two stages to examine the measurement model (for uni-dimensionality) and the structural model (for hypotheses testing).
Findings
The study noted that knowledge sharing positively affects employees’ IWB and occupational self-efficacy positively explains this association. In addition, employees’ perception of entrepreneurial leadership strengthens the association between knowledge sharing and IWB.
Research limitations/implications
The study collected data from a developing country during COVID-19 by using a cross-sectional design that may restrict causality. However, the findings suggest the management not only encourages knowledge sharing environment but also engages employees in various training that motivate them to experiment with new ideas and techniques.
Originality/value
This study extends the existing literature on knowledge sharing and IWB by exploring occupational self-efficacy as mediating mechanism and entrepreneurial leadership as a boundary condition.
Details
Keywords
Mahesh Subramony and Mark S. Rosenbaum
The purpose of this study is to address United Nations’ sustainable development goals (SDGs) 8 and 9 from a service perspective. SDG 8 is a call to improve the dignity of service…
Abstract
Purpose
The purpose of this study is to address United Nations’ sustainable development goals (SDGs) 8 and 9 from a service perspective. SDG 8 is a call to improve the dignity of service work by enhancing wages, working conditions and development opportunities while SDG 9 calls upon nations to construct resilient infrastructures, promote inclusivity and sustainability and foster innovation.
Design/methodology/approach
This study uses a bibliometric review to extract important themes from a variety of scholarly journals.
Findings
Researchers tend to investigate policy-level topics, such as national and international standards related to working conditions, while ignoring the experiences or well-being of workers occupying marginalized and low-opportunity roles in service organizations. Service researchers, educators and practitioners must collaborate to improve the state of service industries by conducting participatory action research, promoting grassroots organizing/advocacy, implementing digitized customer service and addressing workforce soft skills deficiencies.
Research limitations/implications
The authors consider how service work can be transformed into respectable employment and present four specific ways nations can enhance their service industries.
Practical implications
Economic planners can view SDGs 8 and 9 as a framework for understanding and promoting the well-being of service employees and accelerating the productivity and innovation levels of the service sector.
Originality/value
The United Nations’ SDGs are examined from a services perspective, which increases their significance in service-dominated economies.
Details