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Article
Publication date: 13 January 2025

Malachi Rayner-Philipson, Brian Sheil and Pin Zhang

A common design driver for pipe-jacking projects is the jacking force required to advance the tunnel boring machine and pipe string. Empirical methods are popular in industry but…

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Abstract

Purpose

A common design driver for pipe-jacking projects is the jacking force required to advance the tunnel boring machine and pipe string. Empirical methods are popular in industry but are well known to lack accuracy, while there is a strong desire to supplement such approaches with robust data-driven techniques, typically small construction datasets present significant challenges.

Design/methodology/approach

To address this challenge, this paper develops a physics-constrained neural network predictive model for pipe-jacking forces. Information used as input into the model includes principal design information and soil type.

Findings

The physics constrained model was found to predict jacking force to a higher accuracy than current industry practice and better discern meaningful patterns in data than a purely data-driven artificial neural network. The results reveal promising performance for this initial dataset such that there is motivation, as a longer-term objective, to train the present approach on a more comprehensive drive database for more reliable and cost effective solutions for new projects.

Originality/value

Novel contributions include (a) a bespoke framework to constrain a neural network using a pipe-jacking mechanistic model which includes stoppage-induced friction increases, (b) built-in model uncertainty for greater confidence in model outputs, (c) new historical drive data for model training and (d) one-hot encoding of soil type as a model input. The model is calibrated and validated against 14 tunnel drives across four different sites with four distinctive ground types.

Details

Machine Learning and Data Science in Geotechnics, vol. 1 no. 1
Type: Research Article
ISSN: 3029-0422

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Article
Publication date: 16 December 2024

Rebecca Chunghee Kim, Hugh Scullion, Mohan V. Avvari, Stefan Jooss and Helal Uddin

The purpose of this paper is to provide a critical perspective on how the COVID-19 crisis shaped inclusive leadership behaviors of global business leaders.

112

Abstract

Purpose

The purpose of this paper is to provide a critical perspective on how the COVID-19 crisis shaped inclusive leadership behaviors of global business leaders.

Design/methodology/approach

Using quantitative and qualitative methods, the authors analyzed 240 CEO statements in 120 multinational enterprises from six countries (France, India, Japan, South Korea, UK, USA), pre- and mid-COVID-19.

Findings

Results show that CEO emphasis on inclusive leadership increased during the pandemic. More substantively, the authors identify three key behaviors of inclusive leadership – fidelity, calmness and collective resilience.

Originality/value

The authors provide empirical evidence of inclusive leadership behaviors by global business leaders. In doing so, the authors integrate inclusive leadership into societally engaged international business research.

Details

Critical Perspectives on International Business, vol. 21 no. 2
Type: Research Article
ISSN: 1742-2043

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Article
Publication date: 20 June 2023

Shabnam Khan, Saqib Rehman and Adeel Nasir

This study aims to explore the role of green motive (GM) and green dynamic capabilities (GDC) in green innovation (GI) through green value co-creation (GVC). Moreover, this study…

507

Abstract

Purpose

This study aims to explore the role of green motive (GM) and green dynamic capabilities (GDC) in green innovation (GI) through green value co-creation (GVC). Moreover, this study investigates the moderation of top management support (TMS) to strengthen the mediation of specific constructs; GM, GDC, green value co-creation (GVC) and green innovation (GI).

Design/methodology/approach

In total, 337 respondents (executive level/chief executive officer (CEO)) of service organizations were approached using a convenience sampling technique to collect the data through the survey method. Of these, 294 (87% response rate) duly filled responses were used in the final data analysis. In SPSS (Statistical Package for Social Sciences) v-23, the Process Macro-Hayes was used to evaluate the study's conceptual framework empirically.

Findings

The study revealed that TMS strengthened the mediation framework of GM, GDC, GVC and GI. Moreover, all hypotheses related to direct and indirect associations of specific constructs used in the theoretical framework were statistically significant and proved.

Originality/value

The comprehensive framework for GI of service organizations, primarily in the context of developing countries like Pakistan, is deficient in literature. This study helps service organizations by providing a comprehensive GI model to put a central focus on the transformation of management philosophy and working approach for achieving GI in the services structure.

Details

European Journal of Innovation Management, vol. 28 no. 2
Type: Research Article
ISSN: 1460-1060

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