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Available. Open Access. Open Access
Article
Publication date: 22 July 2024

Matthew Osivue Ikuabe, Clinton Aigbavboa, Chimay Anumba and Ayodeji Emmanuel Oke

Cyber-physical systems (CPS) offer improved delivery of facilities management (FM) mandates through their advanced computational capabilities. Using second-order multivariate…

137

Abstract

Purpose

Cyber-physical systems (CPS) offer improved delivery of facilities management (FM) mandates through their advanced computational capabilities. Using second-order multivariate analysis, this study explores the drivers of the espousal of this digital technology for FM.

Design/methodology/approach

The study employed a deductive approach underpinned by a post-positivist philosophical stance using a quantitative technique aided by a well-structured questionnaire. Data retrieved from the study’s respondents were analysed with descriptive statistics, Kruskal–Wallis h-test, exploratory factor analysis and confirmatory factor analysis.

Findings

The result of the analysis conducted portrayed evidence of convergence and good measures while the estimated model parameters all attained prescribed fit indexes. Also, it was revealed that the most influential drivers for the uptake of CPS for FM mandates are resource allocation for system procurement, top management willingness, system stability and compatibility with the previous system.

Practical implications

The study’s findings unravel the necessitated parameters that would instigate the adoption of CPS for the delivery of FM activities by organisations while also propelling the digital transformation of construction project delivery at the post-occupancy phase.

Originality/value

This is the first study to empirically assess the propelling measures for incorporating CPS for FM using second-order multivariate analysis. Consequently, the study's outcome helps close this knowledge gap.

Details

Smart and Sustainable Built Environment, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-6099

Keywords

Available. Open Access. Open Access
Article
Publication date: 28 February 2023

Hannele Suvanto and Merja Lähdesmäki

In this paper, the authors integrate the psychological ownership theory with the concept of commitment to contribute to the discussion on agricultural supply chain management. The…

1594

Abstract

Purpose

In this paper, the authors integrate the psychological ownership theory with the concept of commitment to contribute to the discussion on agricultural supply chain management. The purpose of this study is to examine how farmers experience their commitment to the business relationship with the processor and how this is conveyed through the routes of psychological ownership.

Design/methodology/approach

The empirical data are based on 14 in-depth face-to-face Finnish farmer interviews. To understand the farmers’ routes to psychological ownership, the critical incidents technique was used.

Findings

According to the three routes to psychological ownership – control, profound knowledge and self-investment – the authors argue that farmers mainly consider their routes to be more or less blocked because of the asymmetrical power and information distribution in the business relationship with the processor. Furthermore, based on farmers’ perceptions of psychological ownership, the authors provide a farmer typology that reflects in the farmers’ willingness to commit to the business relationship. The identified types are named as satisfied, captives and leavers.

Originality/value

By integrating the theory of psychological ownership with the concept of commitment, this study provides a more robust understanding of how farmers experience their commitment to the business relationship, thus, contributing to the literature on supply chain management in the agri-food business context. Implementation of these findings can help business partners to proactively improve their business relationships through the perceived level of commitment and to deal with critical incidents influencing the effectiveness of the whole chain.

Details

Supply Chain Management: An International Journal, vol. 28 no. 7
Type: Research Article
ISSN: 1359-8546

Keywords

Available. Open Access. Open Access
Article
Publication date: 31 May 2018

Tamara Keszey

This paper aims to enrich knowledge management theory and practice by investigating how boundary spanners’ willingness to share their knowledge contributes to innovation success…

12223

Abstract

Purpose

This paper aims to enrich knowledge management theory and practice by investigating how boundary spanners’ willingness to share their knowledge contributes to innovation success and by examining the contingent role of market turbulence.

Design/methodology/approach

Cross-sectional survey data were collected from 296 top income Hungarian firms. Structural equation modelling with bootstrap procedures was used to test the hypotheses.

Findings

Boundary spanners’ willingness to share their knowledge has a dual effect on innovation success, which is captured by new product development innovativeness and performance. It has a direct effect on both new product development innovativeness and performance, and it has a mediated effect on new product development performance, where new product development innovativeness serves as a mediator. The study’s results indicate that these effects are robust and not contingent on the turbulence of the firm’s marketplace.

Research limitations/implications

This study’s respondents were managers in boundary-spanning positions charged with the task of linking the organisation with its external environment. Owing to their proximity to the external environment, their evaluation of market turbulence may be distorted.

Practical implications

Maintaining the willingness of managers in boundary-spanning positions to share what they know is essential to the continuous creation of superior new product development performance. Hence, firms should develop organisational cultures where employees’ knowledge-sharing willingness is presented as an important asset. While turbulent markets may be unpredictable and hostile, firms should not adjust their knowledge management practices.

Originality/value

Building on the research on knowledge sharing, boundary spanning theory and contingency theory, this paper increases the understanding of the salient factors that are often implicitly assumed in mechanisms involved in transforming knowledge into new product performance. This is the first empirical study to focus on boundary spanners’ knowledge behaviour and to consider the contingent role of market turbulence in knowledge management.

Details

Journal of Knowledge Management, vol. 22 no. 5
Type: Research Article
ISSN: 1367-3270

Keywords

Available. Open Access. Open Access
Article
Publication date: 25 June 2021

Muhammad Bello Jakada, Najib Sabo Kurawa, Aliyu Rabi'u, Armaya'u Alhaji Sani, Ahmed Ibrahim Mohammed and Abdurrahman Umar

Drawing from tripartite theory of attitude, this study examined whether interaction effect of psychological ownership (cognitive component) changes the nature of the relationship…

4243

Abstract

Purpose

Drawing from tripartite theory of attitude, this study examined whether interaction effect of psychological ownership (cognitive component) changes the nature of the relationship between job satisfaction (affect component) and job performance (behavioral component) toward a higher or weaker relationship. Furthermore, the study draws from psychological ownership theory to find support whether job satisfaction is nurtured by the feeling of psychological ownership.

Design/methodology/approach

Longitudinal data from 211 academic and non-academic employees was randomly collected and partial least square-structural equation model (PLS-SEM) was used for data analysis through SmartPLS version 3.3.2.

Findings

The study found a positive interaction effect of psychological ownership on the relationship between job satisfaction and job performance. Furthermore, the study found that feeling of psychological ownership nurtures employees' satisfaction with their job.

Practical implications

The findings of the study explicate to human resource managers and practitioners the mechanism through which job satisfaction affects job performance and how feelings of psychological ownership nurtures employees' satisfaction with their job.

Originality/value

The study provides new insight into the relationship between job satisfaction and job performance by drawing on the tripartite theory of attitude perspective, and concluded that job performance as overall employee attitude toward the organization is predicted by the interaction and interplay of job satisfaction, psychological ownership and job performance as components of attitude. To the authors’ best knowledge, none of the previous literatures on job satisfaction–job performance relationship draws its conclusions from the perspective of tripartite theory of attitude. Furthermore, the study found empirical evidences that psychological ownership nurtures employees' job satisfaction.

Details

Rajagiri Management Journal, vol. 16 no. 3
Type: Research Article
ISSN: 0972-9968

Keywords

Available. Content available
Article
Publication date: 1 August 2006

242

Abstract

Details

Disaster Prevention and Management: An International Journal, vol. 15 no. 4
Type: Research Article
ISSN: 0965-3562

Available. Open Access. Open Access
Article
Publication date: 5 August 2021

Ye Duan, Zenglin Han, Hao Zhang and Hongye Wang

Environmental problems such as CO2 (Carbon Dioxide) emissions have seriously affected the development of the steel industry, which has urged the industry to adopt a more effective…

1904

Abstract

Purpose

Environmental problems such as CO2 (Carbon Dioxide) emissions have seriously affected the development of the steel industry, which has urged the industry to adopt a more effective emission reduction policy. This paper aims to analyze the impact of various CO2 emission reduction policies combinations on the economic benefits and environmental changes of the steel industry and to determine the scope of application.

Design/methodology/approach

To compare the impact and applicable implementation conditions, a production decision game model that incorporates these two policies has been constructed. Short-, medium- and long-term constraints are set on the emission reduction indicators and the indicators’ changes under various scenarios are compared.

Findings

In the case of a single emission reduction policy, the carbon trading (CT) mechanism is better than the carbon tax mechanism. The mixed carbon trading mechanism is superior to the mixed carbon tax mechanism in terms of total output and subsidies, but worse in terms of overall social welfare, producer surplus and macro losses.

Originality/value

This paper constructs multiple emission reduction and production backgrounds and discusses the impact of the comprehensive implementation of these policies, which is practically absent in previous studies. It is in line with the current industrial policy for stable production and environmental protection and also provides a reference for the formulation of detailed policies in the future.

Details

International Journal of Climate Change Strategies and Management, vol. 13 no. 3
Type: Research Article
ISSN: 1756-8692

Keywords

Available. Open Access. Open Access
Article
Publication date: 27 July 2022

Yuchuan Du, Han Wang, Qian Gao, Ning Pan, Cong Zhao and Chenglong Liu

Resilience concepts in integrated urban transport refer to the performance of dealing with external shock and the ability to continue to provide transportation services of all…

2525

Abstract

Purpose

Resilience concepts in integrated urban transport refer to the performance of dealing with external shock and the ability to continue to provide transportation services of all modes. A robust transportation resilience is a goal in pursuing transportation sustainability. Under this specified context, while before the perturbations, robustness refers to the degree of the system’s capability of functioning according to its design specifications on integrated modes and routes, redundancy is the degree of duplication of traffic routes and alternative modes to maintain persistency of service in case of perturbations. While after the perturbations, resourcefulness refers to the capacity to identify operational problems in the system, prioritize interventions and mobilize necessary material/ human resources to recover all the routes and modes, rapidity is the speed of complete recovery of all modes and traffic routes in the urban area. These “4R” are the most critical components of urban integrated resilience.

Design/methodology/approach

The trends of transportation resilience's connotation, metrics and strategies are summarized from the literature. A framework is introduced on both qualitative characteristics and quantitative metrics of transportation resilience. Using both model-based and mode-free methodologies that measure resilience in attributes, topology and system performance provides a benchmark for evaluating the mechanism of resilience changes during the perturbation. Correspondingly, different pre-perturbation and post-perturbation strategies for enhancing resilience under multi-mode scenarios are reviewed and summarized.

Findings

Cyber-physic transportation system (CPS) is a more targeted solution to resilience issues in transportation. A well-designed CPS can be applied to improve transport resilience facing different perturbations. The CPS ensures the independence and integrity of every child element within each functional zone while reacting rapidly.

Originality/value

This paper provides a more comprehensive understanding of transportation resilience in terms of integrated urban transport. The fundamental characteristics and strategies for resilience are summarized and elaborated. As little research has shed light on the resilience concepts in integrated urban transport, the findings from this paper point out the development trend of a resilient transportation system for digital and data-driven management.

Details

Smart and Resilient Transportation, vol. 4 no. 2
Type: Research Article
ISSN: 2632-0487

Keywords

Available. Content available
Article
Publication date: 3 October 2023

Keqing Zhong and Jae Park

This policy review paper is an analysis of the Double Reduction Policy (DRP) of China that was promulgated in July 2021. It looks into its rationale as well as different…

2003

Abstract

Purpose

This policy review paper is an analysis of the Double Reduction Policy (DRP) of China that was promulgated in July 2021. It looks into its rationale as well as different stakeholders' early reactions to the policy.

Design/methodology/approach

Critical policy analysis (CPA) method was used to identify (1) the artefacts, such as language, objects and acts, that were significant carriers of the DRP; (2) communities of meaning, interpretation, speech and practice that are relevant to the DRP and its implementation; (3) the local discourses relevant to the DRP; and (4) the tension points and their conceptual sources (affective, cognitive and/or moral) by different DRP stakeholders. As per the comparative education field, this paper compares the pre-DRP and post-DRP periods to tease out how the policy affects different stakeholders of education.

Findings

The DRP in China could be attributed to diverse factors such as demography, socialist economic and developmental visions and manpower structure. The implementation of the DRP has generated uneven reactions among different stakeholders and geographical regions both in speed and scale. While education stakeholders have no choice but to adopt the policy, they face challenges derived from a sudden halt of private educational resources and subsequent increased duties of parents and schools.

Originality/value

The significance of this early policy analysis lies in offering an insight into education development in China by analysing and deliberating the DRP from different perspectives.

Details

International Journal of Comparative Education and Development, vol. 25 no. 3/4
Type: Research Article
ISSN: 2396-7404

Keywords

Available. Open Access. Open Access
Article
Publication date: 31 July 2019

Ning Ma, Can Li and Yang Zuo

Forest insurance is a popular way to reduce the loss of forest disasters, so it is necessary to actively involve stakeholders. In the multi-agent simulation model, the government…

879

Abstract

Purpose

Forest insurance is a popular way to reduce the loss of forest disasters, so it is necessary to actively involve stakeholders. In the multi-agent simulation model, the government, insurance companies and forest farmers participate as three main stakeholders. The purpose of this paper is to mainly simulate the behavior of forest farmers under different environmental variables in order to find the important factors affecting the coverage of forest insurance, so as to improve the ability of forest farmers to resist risks in the face of disasters.

Design/methodology/approach

In the simulation process, the decision-making rule of a forest farmer’s purchasing behavior is a binary selection chain, which is created at random. Forest farmer agents who adapt to the environment will remain; on the contrary, those will be eliminated. The eliminated agents will renew their behavior selection chains through learning others’ successful behavior based on genetic algorithm. The multi-agent mode is set up on the Eclipse platform by using Java language.

Findings

The adjustment simulation experiments of insurance premium, insurance subsidy and forest area were carried out. According to the result, conclusions and suggestions are as follows: at present, government subsidies are necessary for the implementation of forest insurance; in the future, with the expansion of the insured forest area and the upgrading and large-scale operation of forest farms, forest farmers will be more willing to join forest insurance program, and, then, the implementation of forest insurance no longer requires government subsidies for forest insurance premiums.

Originality/value

This paper explores the impact of three important factors on the implementation of forest insurance.

Details

Forestry Economics Review, vol. 1 no. 1
Type: Research Article
ISSN: 2631-3030

Keywords

Available. Open Access. Open Access
Article
Publication date: 13 September 2023

Rongsheng Wang, Tao Zhang, Zhiming Yuan, Shuxin Ding and Qi Zhang

This paper aims to propose a train timetable rescheduling (TTR) approach from the perspective of multi-train tracking optimization based on the mutual spatiotemporal information…

789

Abstract

Purpose

This paper aims to propose a train timetable rescheduling (TTR) approach from the perspective of multi-train tracking optimization based on the mutual spatiotemporal information in the high-speed railway signaling system.

Design/methodology/approach

Firstly, a single-train trajectory optimization (STTO) model is constructed based on train dynamics and operating conditions. The train kinematics parameters, including acceleration, speed and time at each position, are calculated to predict the arrival times in the train timetable. A STTO algorithm is developed to optimize a single-train time-efficient driving strategy. Then, a TTR approach based on multi-train tracking optimization (TTR-MTTO) is proposed with mutual information. The constraints of temporary speed restriction (TSR) and end of authority are decoupled to calculate the tracking trajectory of the backward tracking train. The multi-train trajectories at each position are optimized to generate a time-efficient train timetable.

Findings

The numerical experiment is performed on the Beijing-Tianjin high-speed railway line and CR400AF. The STTO algorithm predicts the train’s planned arrival time to calculate the total train delay (TTD). As for the TSR scenario, the proposed TTR-MTTO can reduce TTD by 60.60% compared with the traditional TTR approach with dispatchers’ experience. Moreover, TTR-MTTO can optimize a time-efficient train timetable to help dispatchers reschedule trains more reasonably.

Originality/value

With the cooperative relationship and mutual information between train rescheduling and control, the proposed TTR-MTTO approach can automatically generate a time-efficient train timetable to reduce the total train delay and the work intensity of dispatchers.

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