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1 – 10 of 201
Article
Publication date: 13 August 2024

Yongfeng Li, Yaotong Pan, Wenqiang Yang, Xiaochang Xu, Junpeng Xu and Lei Zhang

This study aims to solve the problem of repair path planning between multiple small-size defects in the field of additive manufacturing (AM) repair by using Python-based ant…

Abstract

Purpose

This study aims to solve the problem of repair path planning between multiple small-size defects in the field of additive manufacturing (AM) repair by using Python-based ant colony algorithm (ACO). The optimal parameter combination scheme is obtained by discussing the influencing factors of parameters in the ACO.

Design/methodology/approach

The effects of the information heuristic factor α, the expected heuristic factor ß and the pheromone volatile factor ρ on the simulation results were investigated by designing a three-factor and three-level orthogonal experiment. The fast convergence of ACO in finding the optimal solution of multiple small-size defect repair path problem is proved by comparing the simulation results with those of genetic algorithm (GA) on the same data set.

Findings

The ACO can effectively solve the repair path planning problem between multiple small-size defects by optimizing the parameters. In the case of 50 defect locations, the simulation results of the ACO with optimized parameters are 159.8 iterations and 3,688 average path lengths, while the GA has 4,027.2 average path lengths under the same data set and the same number of iterations, and by comparison, it is proved that the ACO can find the optimal solution quickly in the small-size defects repair path planning problem, which greatly improves the efficiency of defect repair.

Originality/value

The parameter-optimized ACO can be quickly applied to the planning problem of repair paths between multiple small-size defects in the field of AM repair, which can better improve the defect repair efficiency and reduce the waste of resources.

Details

Rapid Prototyping Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-2546

Keywords

Article
Publication date: 16 February 2024

Sihan Cheng and Cong Cao

Based on cognitive evaluation theory and gamification affordances, this study aims to understand how gamification affordances influence users’ intention to engage in sustainable…

Abstract

Purpose

Based on cognitive evaluation theory and gamification affordances, this study aims to understand how gamification affordances influence users’ intention to engage in sustainable behaviour and how new trends in Ant Forest influence its impact on green intrinsic motivation to support sustainable behaviours.

Design/methodology/approach

The authors developed a research model to explore the mechanisms underlying gamification affordances, psychological needs and green intrinsic motivation. Partial least squares structural equation modelling was used to assess the survey data (n = 393) and test the research model.

Findings

The results show that different gamification affordances can satisfy users’ needs for autonomy, competence and relatedness, which positively influences their green intrinsic motivation and engagement in sustainable behaviours. However, some affordances, such as competition, might negatively impact these psychological needs.

Originality/value

This research updates information system research on environmental sustainability and the Ant Forest context. The authors provide a new framework that links gamification affordances, psychological needs and sustainable behaviour. The study also examines changing trends in Ant Forest and their implications.

Details

Industrial Management & Data Systems, vol. 124 no. 4
Type: Research Article
ISSN: 0263-5577

Keywords

Open Access
Book part
Publication date: 15 July 2024

Denise Mifsud

Educators have had good reason to be concerned with social justice in a context where diversity has become more pronounced in both our schools and communities, with widening…

Abstract

Educators have had good reason to be concerned with social justice in a context where diversity has become more pronounced in both our schools and communities, with widening divisions between the advantaged and the disadvantaged. Internationally, increasing emphasis has been placed on utilizing the role of school leadership to address issues of social justice and equality, within a scenario where comparative studies of the performance of educational systems dominate the policy imagination globally, thus leading to increased pressure on school systems. This chapter presents a problematization of the social justice concept within education as presented in the literature, while setting out to critique this concept as an educational goal, as well as the role educational leadership is expected to play in the promotion of equity and social justice discourses through the lens of Actor-Network Theory (ANT). This theoretical chapter has implications for theory, policy, and practice.

Details

Schooling for Social Justice, Equity and Inclusion: Problematizing Theory, Policy and Practice
Type: Book
ISBN: 978-1-83549-761-6

Keywords

Article
Publication date: 9 July 2024

Chang Yuan, Xinyu Wu, Donghai Zeng and Baoren Li

To solve the problem that the underwater vehicles is difficult to turn and exit in a small range in the face of complex marine environment such as concave and ring under the…

Abstract

Purpose

To solve the problem that the underwater vehicles is difficult to turn and exit in a small range in the face of complex marine environment such as concave and ring under the limitation of its limitation of its shape and maximum steering angle, this paper aims to propose an improved ant colony algorithm based on trap filling strategy and energy consumption constraint strategy.

Design/methodology/approach

Firstly, on the basis of searching the global path, the disturbed terrain was pre-filled in the complex marine environments. Based on the energy constraint strategy, the ant colony algorithm was improved to make the search path of the underwater vehicle meet the requirements of the lowest energy consumption and the shortest path in the complex obstacle environment.

Findings

The simulation results showed that the modified grid environment diagram effectively reduced the redundancy search and improved the optimization efficiency. Aiming at the problem of “the shortest distance is not the lowest energy consumption” in the traditional path optimization algorithm, the energy consumption level was reduced by 26.41% after increasing the energy consumption constraint, although the path length and the number of inflection points were slightly higher than the shortest path constraint, which was more conducive to the navigation of underwater vehicles.

Originality/value

The method proposed in this paper is not only suitable for trajectory planning of underwater robots but also suitable for trajectory planning of land robots.

Details

Industrial Robot: the international journal of robotics research and application, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0143-991X

Keywords

Book part
Publication date: 30 May 2024

Samuel Weeks

This article discusses the methodological implications of a recent study on Luxembourg's offshore financial center. Insight from actor-network theory was essential in undertaking…

Abstract

This article discusses the methodological implications of a recent study on Luxembourg's offshore financial center. Insight from actor-network theory was essential in undertaking its ethnographic research with elites from the country's state and financial institutions. My intention in documenting this approach is to provide a template for ethnographers studying other localized contexts of global politico-economic significance, in which elite actors usually seek to curtail the enquiries of investigators. With this actor-network from Luxembourg as an example, I demonstrate how elite and difficult-to-access milieus can be entered via “networking” coupled with outreach via interviews and email correspondence. As I show, by initiating various modalities of entry into the context in question, ethnographers can establish themselves within an actor-network for the purposes of conducting interviews and participant observation with elite interlocutors.

Details

Health, Money, Commerce, and Wealth
Type: Book
ISBN: 978-1-83549-033-4

Keywords

Article
Publication date: 25 April 2024

Xu Yang, Xin Yue, Zhenhua Cai and Shengshi Zhong

This paper aims to present a set of processes for obtaining the global spraying trajectory of a cold spraying robot on a complex surface.

Abstract

Purpose

This paper aims to present a set of processes for obtaining the global spraying trajectory of a cold spraying robot on a complex surface.

Design/methodology/approach

The complex workpiece surfaces in the project are first divided by triangular meshing. Then, the geodesic curve method is applied for local path planning. Finally, the subsurface trajectory combination optimization problem is modeled as a GTSP problem and solved by the ant colony algorithm, where the evaluation scores and the uniform design method are used to determine the optimal parameter combination of the algorithm. A global optimized spraying trajectory is thus obtained.

Findings

The simulation results show that the proposed processes can achieve the shortest global spraying trajectory. Moreover, the cold spraying experiment on the IRB4600 six-joint robot verifies that the spraying trajectory obtained by the processes can ensure a uniform coating thickness.

Originality/value

The proposed processes address the issue of different parameter combinations, leading to different results when using the ant colony algorithm. The two methods for obtaining the optimal parameter combinations can solve this problem quickly and effectively, and guarantee that the processes obtain the optimal global spraying trajectory.

Details

Robotic Intelligence and Automation, vol. 44 no. 2
Type: Research Article
ISSN: 2754-6969

Keywords

Article
Publication date: 1 June 2023

Nur Azliani Haniza Che Pak, Suhaiza Ismail and Norhayati Mohd Alwi

The purpose of this paper is to help better understand the translation process of the management control system (MCS) of privatised solid waste management (SWM) towards creating a…

Abstract

Purpose

The purpose of this paper is to help better understand the translation process of the management control system (MCS) of privatised solid waste management (SWM) towards creating a stable network.

Design/methodology/approach

Drawing on the actor network theory (ANT), the case of a privatised SWM was studied. Data were collected from all entities involved in the privatisation process of SWM, which include Department A, Corporation X and the private sector concessionaire. Six documents were reviewed, 20 interviews were conducted and two observations were carried out.

Findings

The findings reveal that the control mechanism of SWM is complex, involving the interaction between human and non-human actors. Non-human actors include the key performance indicators (KPIs) and the concessionaire agreement (CA), which are the main control mechanisms towards creating a stable SWM network. Essentially, stability is achieved when the KPIs and CA can influence the activities of both intra- and inter-organisational relationships.

Originality/value

This paper provides a better understanding of the translation process of the MCS that adds to the stability of the network of a privatised SWM from the lens of the ANT.

Details

Journal of Accounting & Organizational Change, vol. 20 no. 2
Type: Research Article
ISSN: 1832-5912

Keywords

Open Access
Article
Publication date: 10 September 2024

Liang Ren, Zerong Zhou, Yaping Fu, Ao Liu and Yunfeng Ma

This study aims to examine the impact of the decision makers’ risk preference on logistics routing problem, contributing to logistics behavior analysis and route integration…

Abstract

Purpose

This study aims to examine the impact of the decision makers’ risk preference on logistics routing problem, contributing to logistics behavior analysis and route integration optimization under uncertain environment. Due to the unexpected events and complex environment in modern logistics operations, the logistics process is full of uncertainty. Based on the chance function of satisfying the transportation time and cost requirements, this paper focuses on the fourth party logistics routing integrated optimization problem considering the chance preference of decision makers from the perspective of satisfaction.

Design/methodology/approach

This study used the quantitative method to investigate the relationship between route decision making and human behavior. The cumulative prospect theory is used to describe the loss, gain and utility function based on confidence levels. A mathematical model and an improved ant colony algorithm are employed to solve the problems. Numerical examples show the effectiveness of the proposed model and algorithm.

Findings

The study’s findings reveal that the dual-population improvement strategy enhances the algorithm’s global search capability and the improved algorithm can solve the risk model quickly, verifying the effectiveness of the improvement method. Moreover, the decision-maker is more sensitive to losses, and the utility obtained when considering decision-makers' risk attitudes is greater than that obtained when the decision-maker exhibits risk neutrality.

Practical implications

In an uncertain environment, the logistics decision maker’s risk preference directly affects decision making. Different parameter combinations in the proposed model could be set for decision-makers with different risk attitudes to fit their needs more accurately. This could help managers design effective transportation plans and improve service levels. In addition, the improved algorithm can solve the proposed problem quickly, stably and effectively, so as to help the decision maker to make the logistics path decision quickly according to the required confidence level.

Originality/value

Considering the uncertainty in logistics and the risk behavior of decision makers, this paper studies integrated routing problem from the perspective of opportunity preference. Based on the chance function of satisfying the transportation time and cost requirements, a fourth party logistics routing integrated optimization problem model considering the chance preference of decision makers is established. According to the characteristics of the problem, an improved dual-population ant colony algorithm is designed to solve the proposed model. Numerical examples show the effectiveness the proposed methods.

Details

Modern Supply Chain Research and Applications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2631-3871

Keywords

Open Access
Article
Publication date: 3 June 2024

Maira Babri

The purpose of this paper is to present how my positionality as a researcher aligned with the works of Latour in terms of methodological inspirations and allowed me to develop a…

Abstract

Purpose

The purpose of this paper is to present how my positionality as a researcher aligned with the works of Latour in terms of methodological inspirations and allowed me to develop a critical vantage point and simultaneously adopt a heterogeneously rather than hierarchically informed approach to ordering the world, which I argue serves as a basis for a more inclusive study of management systems.

Design/methodology/approach

I reflect on my own positionality as a researcher and share how my interpretation of Latour's ontology through some of his ideas and concepts, particularly symmetry, power, translation and agency, allowed me to incorporate and organize heterogeneous actors depicted in different empirical materials into space-time contexts and subsequently theorize organizing and management practices as agential, multiple and becoming.

Findings

A base in Latour’s ontology has equipped me with openness towards empirical settings, which I argue retains a democratic approach to theorization, i.e. theorization, which remains mindful of inadvertent assumptions about power, hierarchy or the taken for granted. This approach has also given me a form of personal resilience as a researcher.

Originality/value

The originality of this paper lies in presenting and developing the concept of method as democratizing. I argue that Latour’s approach to the empirical allows for at least two forms of active democratizing, one relating to the researcher as self and the other in how it incorporates the empirical actors into research, making possible the inclusivity of heterogeneity in analyses of organizations and organizing.

Details

Qualitative Research in Organizations and Management: An International Journal, vol. 19 no. 2
Type: Research Article
ISSN: 1746-5648

Keywords

Article
Publication date: 6 June 2024

Rong-Rong Lin and Jung-Chieh Lee

Green financial technology (FinTech) has received attention for promoting green finance investment and sustainable development. However, how consumer social responsibility and…

189

Abstract

Purpose

Green financial technology (FinTech) has received attention for promoting green finance investment and sustainable development. However, how consumer social responsibility and long-term orientation influence the continuance intention of green FinTech users remains unknown in the literature. To fill this gap, consumer social responsibility and long-term orientation are combined with the unified theory of acceptance and use of technology to develop a research model to investigate their moderating effects on the continuance intention of green FinTech users.

Design/methodology/approach

A random probability sampling method was adopted, and 377 valid responses were collected to verify the proposed model. Partial least squares structural equation modeling was employed for the data analysis.

Findings

Performance expectancy, effort expectancy, social influence and facilitating conditions have significant positive impacts on the continuance intentions of green FinTech users. Surprisingly, consumer social responsibility enhances the effects of performance expectancy and social influence on continuance intention but negatively moderates the effect of facilitating conditions on continuance intention. Moreover, a long-term orientation can increase the impact of facilitating conditions on continuance intention but decrease the impact of performance expectancy on continuance intention.

Originality/value

This paper proposes a research model that reveals how consumer social responsibility and long-term orientation moderate the relationship between the unified theory of acceptance and use of technology (UTAUT) and the continuance intention of green FinTech users to fill a gap in the literature.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

Keywords

1 – 10 of 201