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Article
Publication date: 8 January 2018

Chi-Cheng Huang and Ping-Kuo Chen

This study aims to explore the influence of social interaction processes on transactive memory system (TMS) practice, the mediation of knowledge integration to the relationship…

1325

Abstract

Purpose

This study aims to explore the influence of social interaction processes on transactive memory system (TMS) practice, the mediation of knowledge integration to the relationship between TMS and team performance and the moderation of team psychological safety to the relationship among TMS, knowledge intentions and team performance.

Design/methodology/approach

The authors collected data from a sample of 366 team members from 55 research and development (R&D) teams in Taiwan and conduct the analysis using the partial least squares method.

Findings

The results of this study indicate that social interaction processes have a positive effect on a TMS; a TMS can foster team performance, but knowledge integration mediates the relationship between the TMS and team performance; and team psychological safety can moderate the relationship between the TMS, knowledge integration and team performance.

Originality/value

Existing studies not only fail to explore the influence of social interaction processes on a TMS practice but also lack empirical analyses to explore knowledge integration as a mediator and team psychological safety as a moderator. This study fills that gap by developing a model that includes these types of relationships and suggests the importance of the TMS in the context of R&D.

Details

Journal of Knowledge Management, vol. 22 no. 1
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 3 April 2019

Yuwen Shi, Wei Lin, Ping-Kuo Chen and Chun-Hsien Su

Studies have not investigated how the International Standards Organization (ISO) 9000 quality management system (QMS) guides manufacturers’ and their partners’ creative processes…

605

Abstract

Purpose

Studies have not investigated how the International Standards Organization (ISO) 9000 quality management system (QMS) guides manufacturers’ and their partners’ creative processes in devising an innovative supply chain structure. Accordingly, this study aims to explore this subject.

Design/methodology/approach

A systematic literature analysis was conducted to explore how the ISO 9000 QMS might guide manufacturers’ and supply chain partners’ creative processes and the further development of an innovative supply chain organizational structure. The systematic literature analysis is divided into the following two parts: the first part collects related literature to analyze and explore based on the research questions and purpose. The second part is an association analysis. The results of the association analysis show that these related literatures are suitable for the analysis and exploration of the research questions and purpose.

Findings

This study developed an analytic framework to compare the elements of four components of the ISO 9000 QMS and the ingredients that drive creativity and innovation; the study also reviewed related publications to deeply analyze the relationship between the elements of the four components and the ingredients of creativity and innovation. The authors observed that when manufacturers and partners implement the ISO 9000 QMS, their use of the elements of the four components engages all ingredients and thereby facilitates the manufacturers’ and partners’ creative process in the development of an innovative organizational structure.

Research implications

According to the results of the analysis, practitioners can understand how to improve the innovation of an organization’s supply chain from ISO 9000 QMS components. In addition, the research has resulted in developing additional research propositions concerning the relationship between the four components of the ISO 9000 QMS and ingredients that drive creativity and innovation. Based on these propositions, more research hypotheses can be further developed.

Originality/value

The research results prove that the ISO 9000 QMS has a positive effect on facilitating the creative process and innovation, with regard to the organizational structure, and it also provides the underlying reasons for this effect.

Details

International Journal of Innovation Science, vol. 11 no. 2
Type: Research Article
ISSN: 1757-2223

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Article
Publication date: 5 September 2016

Chun-Hsien Su and Ping-Kuo Chen

This paper aims to provide an innovative solution on new service development (NSD) implementation by the project management competences and processes of IPMA ICB 3.0 and PMI PMBOK…

803

Abstract

Purpose

This paper aims to provide an innovative solution on new service development (NSD) implementation by the project management competences and processes of IPMA ICB 3.0 and PMI PMBOK Guide 5th E.

Design/methodology/approach

By breaking NSD work breakdown structure into five control accounts, each account has its own suggested work packages concluded from reviewed literatures.

Findings

This research sequentially presents proper PM competences and processes as solutions for these control accounts and their work packages.

Research limitations/implications

This study was to provide an innovative solution on NSD implementation by the project management competences and processes of IPMA ICB 3.0 and PMI PMBOK Guide 5th E. By breaking NSD work breakdown structure into five control accounts, each account has its own suggested work packages concluded from reviewed literatures. This research sequentially presents proper PM competences and processes as solutions for these control accounts and their work packages. Consequently, we concluded that the PM competences and processes furnish a favorable base where any NSD project is suitable to deploy without compromising its original features.

Practical implications

Consequently, it is concluded that the PM competences and processes furnish a favorable base where any NSD project is suitable to deploy without compromising its original features.

Details

International Journal of Innovation Science, vol. 8 no. 3
Type: Research Article
ISSN: 1757-2223

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Article
Publication date: 19 August 2019

Kuo-Ping Lin, Chun-Min Yu and Kuen-Suan Chen

The purpose of this paper is to establish mechanisms for process improvement so that production efficiency and product quality can be expected, and create a sustainable…

721

Abstract

Purpose

The purpose of this paper is to establish mechanisms for process improvement so that production efficiency and product quality can be expected, and create a sustainable development in terms of circular economy.

Design/methodology/approach

The authors obtain a critical value from statistical hypothesis testing, and thereby construct a process capability indices chart, which both lowers the chance of quality level misjudgment caused by sampling error and provides reference for the processes improvement in poor quality levels. The authors used the bottom bracket of bicycles as an example to demonstrate the model and methods proposed in this study.

Findings

This approach enables us to plot multiple quality characteristics, despite varying attributes and specifications, onto the same process capability analysis chart. And it therefore increases accuracy and precision to reduce rework and scrap rates (reduce), increase product availability, reduce maintenance frequency and increase reuse (reuse), increase the recycle rates of components (recycle) and lengthen service life, which will delay recovery time (recovery).

Originality/value

Parts manufacturers in the industry chain can upload their production data to the cloud platform. The quality control center of the bicycle manufacturer can utilized the production data analysis model to identify critical-to-quality characteristics. The platform also offers reference for improvement and adds the improvement achievements and experience to its knowledge management to provide the entire industry chain. Feedback is also given to the R&D department of the bicycle manufacturer as reference for more robust product designs, more reasonable tolerance designs, and selection criteria for better parts suppliers, thereby forming an intelligent manufacturing loop system.

Details

Industrial Management & Data Systems, vol. 119 no. 8
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 14 June 2022

Ting-Yu Lin, Ping-Teng Chang, Kuo-Ping Lin and Miao-Tzu Chen

This study is aimed to develop a novel intuitionistic fuzzy P-graph with Gaussian membership function to help decision-makers deal with complex process network systems.

100

Abstract

Purpose

This study is aimed to develop a novel intuitionistic fuzzy P-graph with Gaussian membership function to help decision-makers deal with complex process network systems.

Design/methodology/approach

Two fuzzy P-graph case studies of the cogeneration system were selected, and relevant data were collected, including the structure and flow sequence of the system, and the rate of material and product transitions between the operating units. Gaussian function membership was set according to the restriction of fuzzy upper and lower bounds. Then the α-cut was used to obtain different upper and lower bound restrictions of each membership degree. After finding the optimal and suboptimal solutions for different membership degrees, the results of non-membership and hesitation were calculated.

Findings

The proposed method will help the decision maker consider the risk and provide more feasible solutions to choose the optimal and suboptimal solutions based on their own or through experience. The proposed model in this study has more flexibility in operation and decision making.

Originality/value

This study is the first to propose a novel intuitive fuzzy P-graph and demonstrates the effectiveness and flexibility of the method by two case studies of the cogeneration system. However, the addition of hesitation can increase the error tolerance of the system. Even for the solutions with a high degree of membership, optimal and suboptimal solutions still exist for the decision maker to select. Since decision makers expect the higher achievement of the target requirements; thus, it is important to have more feasible solutions with a high degree of membership.

Details

Management of Environmental Quality: An International Journal, vol. 33 no. 5
Type: Research Article
ISSN: 1477-7835

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Article
Publication date: 31 October 2018

Chung-Han Ho, Ping-Teng Chang, Kuo-Chen Hung and Kuo-Ping Lin

The purpose of this paper is to develop a novel intuitionistic fuzzy seasonality regression (IFSR) with particle swarm optimization (PSO) algorithms to accurately forecast air…

303

Abstract

Purpose

The purpose of this paper is to develop a novel intuitionistic fuzzy seasonality regression (IFSR) with particle swarm optimization (PSO) algorithms to accurately forecast air pollutions, which are typical seasonal time series data. Seasonal time series prediction is a critical topic, and some time series data contain uncertain or unpredictable factors. To handle such seasonal factors and uncertain forecasting seasonal time series data, the proposed IFSR with the PSO method effectively extends the intuitionistic fuzzy linear regression (IFLR).

Design/methodology/approach

The prediction model sets up IFLR with spreads unrestricted so as to correctly approach the trend of seasonal time series data when the decomposition method is used. PSO algorithms were simultaneously employed to select the parameters of the IFSR model. In this study, IFSR with the PSO method was first compared with fuzzy seasonality regression, providing evidence that the concept of the intuitionistic fuzzy set can improve performance in forecasting the daily concentration of carbon monoxide (CO). Furthermore, the risk management system also implemented is based on the forecasting results for decision-maker.

Findings

Seasonal autoregressive integrated moving average and deep belief network were then employed as comparative models for forecasting the daily concentration of CO. The empirical results of the proposed IFSR with PSO model revealed improved performance regarding forecasting accuracy, compared with the other methods.

Originality/value

This study presents IFSR with PSO to accurately forecast air pollutions. The proposed IFSR with PSO model can efficiently provide credible values of prediction for seasonal time series data in uncertain environments.

Details

Industrial Management & Data Systems, vol. 119 no. 3
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 15 August 2018

Gia-Shie Liu and Kuo-Ping Lin

The purpose of this paper is to develop a decision support system to consider geographic information, logistics information and greenhouse gas (GHG) emission information to solve…

641

Abstract

Purpose

The purpose of this paper is to develop a decision support system to consider geographic information, logistics information and greenhouse gas (GHG) emission information to solve the proposed green inventory routing problem (GIRP) for a specific Taiwan publishing logistics firm.

Design/methodology/approach

A GIRP mathematical model is first constructed to help this specific publishing logistics firm to approximate to the optimal distribution system design. Next, two modified Heuristic-Tabu combination methods that combine savings approach, 2-opt and 1-1 λ-interchange heuristic approach with two modified Tabu search methods are developed to determine the optimum solution.

Findings

Several examples are given to illustrate the optimum total inventory routing cost, the optimum delivery routes, the economic order quantities, the optimum service levels, the reorder points, the optimum common review interval and the optimum maximum inventory levels of all convenience stores in these designed routes. Sensitivity analyses are conducted based on the parameters including truck loading capacity, inventory carrying cost percentages, unit shortage costs, unit ordering costs and unit transport costs to support optimal distribution system design regarding the total inventory routing cost and GHG emission level.

Originality/value

The most important finding is that GIRP model with reordering point inventory control policy should be applied for the first replenishment and delivery run and GIRP model with periodic review inventory control policy should be conducted for the remaining replenishment and delivery runs based on overall simulation results. The other very important finding concerning the global warming issue can help decision makers of GIRP distribution system to select the appropriate type of truck to deliver products to all retail stores located in the planned optimal delivery routes depending on GHG emission consumptions.

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Article
Publication date: 28 November 2024

Augustine Senanu Komla Kukah, Xiaohua Jin, Robert Osei-Kyei and Srinath Perera

Carbon emissions trading is an effective instrument in reducing greenhouse gas emissions. There is a notable scarcity of comprehensive reviews on the modelling techniques within…

56

Abstract

Purpose

Carbon emissions trading is an effective instrument in reducing greenhouse gas emissions. There is a notable scarcity of comprehensive reviews on the modelling techniques within carbon trading research in construction.

Design/methodology/approach

This paper reviews 68 relevant articles published in 19 peer-reviewed journals using systematic search. Scientometric analysis and content analysis are undertaken.

Findings

Generally, China was the largest contributor to carbon trading research using quantitative models (representing 36% of the total articles). From the results, the modelling techniques identified were multi-objective grasshopper optimisation algorithm; system dynamics; interpretive structural modelling; multi-agent-based model; decision-support model; multi-objective chaotic sine cosine algorithm; optimised backpropagation neural network; sequential panel selection method; Granger causality test; and impulse response analysis. Moreover, the advantages and disadvantages of these techniques were identified. System dynamics was recommended as the most suitable modelling technique for carbon trading in construction.

Originality/value

This study is significant, and through this review paper, practitioners can easily be more familiar with the significant modelling techniques, and this will motivate them to better understand their uses.

Details

Journal of Facilities Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1472-5967

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Article
Publication date: 24 February 2025

Quba Ahmed, Muhammad Saleem Sumbal, Carman Lee and Eric Tsui

The advent of a dynamic and uncertain environment has shifted organizational focus from reactive to proactive approaches to develop resilience against disruptions. Organizations…

0

Abstract

Purpose

The advent of a dynamic and uncertain environment has shifted organizational focus from reactive to proactive approaches to develop resilience against disruptions. Organizations can strengthen their supply chain networks through strategic changes in structure and processes. In this connection, this study explores the extant literature on supply chain resilience (SCRE) concerning soft organizational factors (leadership, organizational culture and knowledge management) to analyse recent trends in this domain and propose future research directions.

Design/methodology/approach

It is a bibliometric analysis and systematic literature review of research articles from 2004 to 2024, collected from ISI Web of Science with keywords searches such as “knowledge management and supply chain resilience,” “leadership and supply chain resilience” and “organizational culture and supply chain resilience.” “VOS viewer” and “ATLAS.ti” were utilized for the co-occurrence and co-authorship analysis of the articles along with focusing on aspects such as theoretical and practical implications, the collaboration institutions and the countries involved in relation to the topic of interest.

Findings

The review shows that the development of studies on SCRE was slow from 2004 to 2015 but grew significantly from 2015 onwards and rose exponentially after 2020. Most studies were published in 2023. Results reveal the development of proactive strategies for SCRE in the recent literature by focusing on organizational factors. The study highlights exploring the contextual interplay between environmental, social and governance (ESG) and soft organizational factors for mitigation of supply chain risk and resilience in large-scale projects.

Originality/value

The COVID-19 pandemic became the precursor to highlighting the antecedents of SCRE, but the study of soft organizational drivers is still an ongoing area of research. There is a need to map the nascent literature on the link between organizational soft drivers and SCRE.

Details

Industrial Management & Data Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-5577

Keywords

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