The purpose of this paper is to establish the optimization model of designs for sparse distributed pile foundation based on multi‐goals fuzzy optimization theory, to promote the…
Abstract
Purpose
The purpose of this paper is to establish the optimization model of designs for sparse distributed pile foundation based on multi‐goals fuzzy optimization theory, to promote the application of the optimization model into project.
Design/methodology/approach
In the designing of sparse distributed pile foundation, there are many feasible design schemes, the selection of designs is a decision making of multi‐goals and factors. Owing to uncertain and imprecise environment in which the designing of sparse distributed pile foundation exists, the theories of fuzzy optimization are chosen as mathematical framework to optimize the design schemes.
Findings
Since relative optimal degree is used to judge, the optional result of using fuzzy optimization theories in sparse pile foundation design selection is more rational according to a site project.
Research limitations/implications
The availability of data and precision of index weight selection are the main limitations as to which model will be applied.
Practical implications
A very useful optimal method for the sparse pile foundation design selection.
Originality/value
The new approach of optimal selection for sparse pile foundation design due to fuzzy optimization theories.
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Jinlin Huang, Zhangming Li and Guihe Tang
Catastrophe theory can directly deal with discontinuity without any connection with the special inner mechanism, which makes it suitable for system research, whose inner action is…
Abstract
Purpose
Catastrophe theory can directly deal with discontinuity without any connection with the special inner mechanism, which makes it suitable for system research, whose inner action is unknown but outer one can be observed. There are many inner factors, which affect the bearing capacity of pile, it is different to ascertain bearing capacity of pile. The purpose of this paper is to present a new calculation method of bearing capacity of pile by the catastrophe theory.
Design/methodology/approach
The cusp model of catastrophe theory and its expression are discussed in this paper. By means of mechanical model analysis, bearing capacity of pile is systematically studied coupling catastrophe steady mechanism with equilibrium conditions of single pile. The settlement of top pile is transformed into the normal form of cusp catastrophe. The relationship between the settlement of top pile and vertical bearing capability of pile is built.
Findings
Vertical bearing capacity of single pile was deduced by means of energy principle and catastrophe theory based on settlement of critical instability of pile.
Research limitations/implications
Accessibility and availability of the constitutive equation of concrete of pile and parameter are the main limitations which model will be applied.
Practical implications
A very useful reference for design processes engineers.
Originality/value
The estimated results of the example correspond to one of practical experience, which provides a basis for design of vertical bearing capacity of single pile.
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Zhangming Ma, Heap-Yih Chong and Pin-Chao Liao
Human error is among the leading causes of construction-based accidents. Previous studies on the factors affecting human error are rather vague from the perspective of complex and…
Abstract
Purpose
Human error is among the leading causes of construction-based accidents. Previous studies on the factors affecting human error are rather vague from the perspective of complex and changeable working environments. The purpose of this paper is to develop a dynamic causal model of human errors to improve safety management in the construction industry. A theoretical model is developed and tested through a case study.
Design/methodology/approach
First, the authors defined the causal relationship between construction and human errors based on the cognitive reliability and error analysis method (CREAM). A dynamic Bayesian network (DBN) was then developed by connecting time-variant causal relationships of human errors. Next, prediction, sensitivity analysis and diagnostic analysis of DBN were applied to demonstrate the function of this model. Finally, a case study of elevator installation was presented to verify the feasibility and applicability of the proposed approach in a construction work environment.
Findings
The results of the proposed model were closer to those of practice than previous static models, and the features of the systematization and dynamics are more efficient in adapting toward increasingly complex and changeable environments.
Originality/value
This research integrated CREAM as the theoretical foundation for a novel time-variant causal model of human errors in construction. Practically, this model highlights the hazards that potentially trigger human error occurrences, facilitating the implementation of proactive safety strategy and safety measures in advance.
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This article examines the differential effects of two types of trust (affect based and cognition based) and two types of feelings (ganqing and jiaoqing) on different…
Abstract
This article examines the differential effects of two types of trust (affect based and cognition based) and two types of feelings (ganqing and jiaoqing) on different knowledge-sharing processes (seeking, transfer, and adoption) among Chinese employees. The influences of these different types of trust and feelings on Chinese employeesʼ propensities to seek, transfer, and adopt explicit and tacit knowledge are also analyzed and discussed. The analysis shows affect-based trust increases knowledge transfer, while cognition-based trust is more important to knowledge seeking and adoption. Affect-based trust alone can facilitate the different processes of sharing explicit knowledge. Effective sharing of tacit knowledge, on the other hand, requires the simul-taneous support from affect-based trust and cognition-based trust. Ganqing and jiaoqing are also important in knowledge transfer and adoption. Either feeling may increase the likelihood to seek, transfer, and adopt explicit knowledge by itself. The influences of both feelings on tacit knowledge seeking, transfer, and adoption hinge on the presence of cognition-based trust.
Won Seok Lee, Myungkeun Song, Joonho Moon and Ruohan Tang
This study explores food delivery app users and technology acceptance model as a theoretical underpinning. This study thus investigated the determinants of usefulness, ease of use…
Abstract
Purpose
This study explores food delivery app users and technology acceptance model as a theoretical underpinning. This study thus investigated the determinants of usefulness, ease of use and intention to use for food delivery app service.
Design/methodology/approach
The variables of delivery time, diverse menu, quarantine, review quality and ease of use are employed as determinants of usefulness. The antecedents of ease of use are easy registration and easy payment. This study also examined the association between ease of use, usefulness and intention to use. This study collected data using Amazon Mechanical Turk, and the number of valid observations for statistical analysis was 484. A structural equation model was used to test the hypotheses.
Findings
Regarding the results, usefulness was positively affected by delivery time, quarantine, review quality and ease of use. Additionally, ease of use was positively impacted by easy registration and easy payment. Finally, this study showed that ease of use positively affects both usefulness and intention to use, and usefulness is positively associated with intention to use.
Originality/value
This study contributes to the literature by ensuring the explanatory power of technology acceptance model for food delivery app.
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Mohammad Abbaszadeh, Mohammad Bagher Alizadeh Aghdam, Reza Pourhosein and Leila Nasrolahi Vosta
The purpose of this paper is to characterize and identify the existing studies on the relationship between technological media and development
Abstract
Purpose
The purpose of this paper is to characterize and identify the existing studies on the relationship between technological media and development
Design/methodology/approach
The authors conducted a systematic mapping study to identify and analyze the related literature. The authors identified 196 primary studies, dated from 2000 to 2017 and categorized them with respect to research focus, types of research and research method.
Findings
A total of 97 studies were identified and mapped, synthesizing the available evidence on the relationship between technological media and development. “Social development” with 54 articles and “communication” with 34 articles were the dominant research focus. Regarding the research type, “Solution proposal” is the most frequently employed research type. “Case study,” “discussion paper” and “interview,” respectively were the most used research methods. However, “SNA,” “focus group” and “time series” were used less often. “Solution proposal” was the most common research type between 2015 and 2017, and after that “philosophical paper” was the dominant research paper type. Further, the number of publications has increased between 2006 and 2017.
Originality/value
This mapping study is the first systematic exploration of the state-of-art on technological media-development nexus. The existing body of knowledge is limited to a few high quality studies.
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This paper seeks to assess the bottom‐line (profitability) impact of information systems support for product innovation at the firm level, based on the current resource‐based view…
Abstract
Purpose
This paper seeks to assess the bottom‐line (profitability) impact of information systems support for product innovation at the firm level, based on the current resource‐based view of the competitive role of information systems (IS). The paper also explores the role of firm‐specific information and knowledge that complement IS support for product innovation in moderating the performance impact of the IS support.
Design/methodology/approach
Both survey and archival data were used to assess the profitability impact of IS support for product innovation. Data tapping IS support for product innovation and firm‐specific, complementary information and knowledge were collected from a survey of senior IS executives from 760 large companies operating in different industries in the United States. The profitability data were obtained from the Research Insight database. Hierarchical regression analyses were employed to test the research hypotheses.
Findings
Providing IS support for product innovation alone did not improve profitability as measured by return on sales and return on assets. Only when complemented by firm‐specific information and knowledge would IS support for product innovation lead to profitability gains. Research limitations/implications – the use of cross‐sectional data collected from single informants and the coarse scales to measure the key variables may limit the usefulness of the research findings.
Practical implications
It is not sufficient for a firm to simply focus on selecting or designing IS that improve the efficiency and effectiveness of its product development process. Rather, the firm and its managers need to pay equal attention to the deployment of firm‐specific information and knowledge resources which would not only facilitate the use and implementation of IS for production innovation, but also make such IS less susceptible to imitation by competitors.
Originality/value
This article provides further evidence for the positive influence of IS‐based product innovation on the bottom‐line performance of firms and uses the resource‐based view of the strategic impact of IS to identify one condition under which such influence may occur. Unlike prior research that gauges the performance effects of IS support for product innovation at the project or department level, this research generates evidence for profitability gains accruing from IS support at the firm level.
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The main purpose of this study is to empirically investigate the influence of social capital (SC) on mass customization capability (MCC) and innovation capabilities (ICs…
Abstract
Purpose
The main purpose of this study is to empirically investigate the influence of social capital (SC) on mass customization capability (MCC) and innovation capabilities (ICs) (products, processes, services and organizational) through absorptive capacity (ACAP) (acquisition, assimilation, transformation and exploitation).
Design/methodology/approach
Data were collected from 201 managers of 67 Jordanian manufacture organizations. Statistical techniques used included confirmatory factor analysis to examine validity of the measurement model, and structural equation modeling using partial least squares to test the hypotheses.
Findings
The results of the analysis show that ACAP mediates the relationships between SC and MCC and between SC and ICs. Furthermore, the results show that SC has a positive, significant influence on ACAP and ACAP has a positive, significant impact on both MCC and ICs.
Research limitations/implications
Insights from this study can help manufacture managers to better understand the relationships among SC, ACAP, MCC and ICs in the context of Jordan’s economic development, as well as providing some useful guidance for the manufacturing sector’s customization and innovation activities.
Originality/value
This study develops and empirically tests a conceptual framework that relates ACAP, the development of MCC and ICs with the presence of SC as an antecedent of ACAP; hence, to the best of the author’s knowledge, it is the first study to test the mediating role of ACAP between SC and MCC and between SC and ICs.
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María Belén Prados-Peña, George Pavlidis and Ana García-López
This study aims to analyze the impact of Artificial Intelligence (AI) and Machine Learning (ML) on heritage conservation and preservation, and to identify relevant future research…
Abstract
Purpose
This study aims to analyze the impact of Artificial Intelligence (AI) and Machine Learning (ML) on heritage conservation and preservation, and to identify relevant future research trends, by applying scientometrics.
Design/methodology/approach
A total of 1,646 articles, published between 1985 and 2021, concerning research on the application of ML and AI in cultural heritage were collected from the Scopus database and analyzed using bibliometric methodologies.
Findings
The findings of this study have shown that although there is a very important increase in academic literature in relation to AI and ML, publications that specifically deal with these issues in relation to cultural heritage and its conservation and preservation are significantly limited.
Originality/value
This study enriches the academic outline by highlighting the limited literature in this context and therefore the need to advance the study of AI and ML as key elements that support heritage researchers and practitioners in conservation and preservation work.