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Open Access
Article
Publication date: 9 April 2018

Maheshwaran Gopalakrishnan and Anders Skoogh

The purpose of this paper is to identify the productivity improvement potentials from maintenance planning practices in manufacturing companies. In particular, the paper aims at…

5249

Abstract

Purpose

The purpose of this paper is to identify the productivity improvement potentials from maintenance planning practices in manufacturing companies. In particular, the paper aims at understanding the connection between machine criticality assessment and maintenance prioritization in industrial practice, as well as providing the improvement potentials.

Design/methodology/approach

An explanatory mixed method research design was used in this study. Data from literature analysis, a web-based questionnaire survey, and semi-structured interviews were gathered and triangulated. Additionally, simulation experimentation was used to evaluate the productivity potential.

Findings

The connection between machine criticality and maintenance prioritization is assessed in an industrial set-up. The empirical findings show that maintenance prioritization is not based on machine criticality, as criticality assessment is non-factual, static, and lacks system view. It is with respect to these finding that the ways to increase system productivity and future directions are charted.

Originality/value

In addition to the empirical results showing productivity improvement potentials, the paper emphasizes on the need for a systems view for solving maintenance problems, i.e. solving maintenance problems for the whole factory. This contribution is equally important for both industry and academics, as the maintenance organization needs to solve this problem with the help of the right decision support.

Details

International Journal of Productivity and Performance Management, vol. 67 no. 4
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 20 March 2009

Elisabet Werntoft and Anna‐Karin Edberg

The aim of this study is to describe the view of age‐related prioritisation in health care among physicians and healthcare politicians and to compare their views regarding gender…

Abstract

Purpose

The aim of this study is to describe the view of age‐related prioritisation in health care among physicians and healthcare politicians and to compare their views regarding gender and age.

Design/methodology/approach

Swedish physicians (n=390) and politicians (n=310), mean age 52 years, answered an electronic questionnaire concerning age‐related priority setting in healthcare. The questionnaire had fixed response alternatives with possibility of adding comments.

Findings

A majority of the participants thought that age should not influence prioritisation, although more physicians than politicians thought that younger patients should be prioritised. There were also significant differences concerning their views on lifestyle‐related diseases and on who should make decisions concerning both vertical and horizontal prioritisation. The comments indicated that the politicians referred to ethical principles as a basis for their standpoints while the physicians often referred to the importance of biological rather than chronological age.

Research limitations/implications

Web‐based surveys as a method has its limitations as biased samples and biased returns could cause major problems, such as limited control over the drop‐outs. The sample in this study was, however, judged to be representative.

Practical implications

The results indicate that supplementary guiding principles concerning prioritisation in healthcare are needed in order to facilitate decision‐making concerning resource allocation on a local level.

Originality/value

This paper adds important knowledge about decision makers' views on age‐related priorities in healthcare, thus contributing to scientific base for prioritisation in healthcare and the ongoing debate in society.

Details

Journal of Health Organization and Management, vol. 23 no. 1
Type: Research Article
ISSN: 1477-7266

Keywords

Article
Publication date: 12 October 2018

Bokolo Anthony Jnr.

This study aims to develop a software risk prioritization model using analytic hierarchy process (AHP) and further validate the usability attributes of the model in prioritizing…

Abstract

Purpose

This study aims to develop a software risk prioritization model using analytic hierarchy process (AHP) and further validate the usability attributes of the model in prioritizing operational, technical, technological, strategic and environmental software risks.

Design/methodology/approach

Questionnaire was used to collect data from software practitioners to evaluate the usability attributes of the AHP-software risk prioritization model. Accordingly, partial least square-structural equation modeling was used to analyze the collected data.

Findings

Results reveal that the developed AHP-software risk prioritization model is efficient and effective in facilitating software risk factor prioritization. In addition, results suggest that the experts are satisfied with the learnability, accessibility and navigation capability of the model. Besides, results indicate that the model provides a useable interface and system design for content availability of information needed by software practitioners in evaluating and prioritizing operational, technical, technological, strategic and environmental risk. Furthermore, results show that the experts intend to adopt the model to prioritize identified software risk in their firm.

Research limitations/implications

Methodologically, the developed AHP-software risk prioritization model is faced with issues such as inconsistency in judgments, weakness of confronting ambiguities and uncertainties of high complexity. Empirically, data were collected from software practitioners in Malaysia to validate the AHP-software risk prioritization model. Hence, results from this study cannot be generalized to other software practitioners in different countries.

Practical implications

This study developed a software risk prioritization model to evaluate and prioritize software risks that occur in software organizations by deploying AHP to carryout risk factor priority selection. Moreover, the model provides risk knowledge as guidelines for evaluating software risks in software organizations.

Social implications

The developed AHP-software risk prioritization model computes risk prioritization factor priority selection and further supports software practitioners and evaluates risks and associated risk factors. Besides, this study develops an instrument that can be used in project risk management to validate the usability attributes of software risk approaches.

Originality/value

This research designs use case and class diagram to show how the AHP-software risk prioritization model evaluates and prioritizes software risks factors by using risk evaluation questions. Additionally, the AHP-software risk prioritization model computes, evaluates and prioritizes software risk factors using risk factor priority selection for software project management.

Details

Journal of Science and Technology Policy Management, vol. 10 no. 2
Type: Research Article
ISSN: 2053-4620

Keywords

Article
Publication date: 9 June 2021

Volkan Yeniaras and Ilker Kaya

Drawing on the theoretical lens of the job demands-resources model, this study builds upon and tests a conceptual model that links customer prioritization, product complexity…

1098

Abstract

Purpose

Drawing on the theoretical lens of the job demands-resources model, this study builds upon and tests a conceptual model that links customer prioritization, product complexity, business ties, job stress and customer service performance. Conceptualizing customer prioritization and product complexity as job demands and business ties as personal job resources, this research explicates the mediating process by which customer prioritization and product complexity affect customer service performance through job stress and its boundary conditions. The purpose of this paper is to offer a theoretical framework in which business ties moderates the mediated relations of customer prioritization and product complexity to customer service performance.

Design/methodology/approach

Structural equation modeling and a moderated mediation analysis were used on a unique multi-level, multi-respondent data set of 248 participants from 124 small and medium-sized enterprises in Turkey.

Findings

This study finds that both customer prioritization and product complexity increase job stress. In addition, this paper finds that business ties have a bitter-sweet nature as a personal resource and reverse the relation of customer prioritization to job stress while strengthening the negative direct relation of product complexity to job stress. Finally, this study finds that the indirect relation of customer prioritization to customer service performance through job stress is contingent on business ties. Specifically, this paper finds that high levels of business ties negate the indirect relation of customer prioritization to customer service performance while low levels of business ties exacerbate the negative effects of customer prioritization to customer service performance, channeled through job stress.

Practical implications

The findings demonstrate the critical role that personal networks play in reducing job stress and enhancing customer service performance for small and medium-sized enterprises that adopt customer-centric strategies such as customer prioritization. Nevertheless, the results suggest that the managers need to cognizant of the undesirable consequences of business ties may have on job stress when boundary-spanners handle a wide range of products/services that are technically complex. Accordingly, this study recommends small and medium-size enterprise managers and owners should be cautious in resource allocation to establish informal, personal ties with suppliers, competitors, customers and other market collaborators.

Originality/value

This paper offers a deeper perspective of the relations of customer prioritization and product complexity to job stress and customer service performance. This study also specifies business ties as a personal coping resource, which decreases the undesirable consequences when used in small and medium enterprises that adopt customer-centric strategies.

Details

Journal of Business & Industrial Marketing, vol. 37 no. 2
Type: Research Article
ISSN: 0885-8624

Keywords

Book part
Publication date: 5 November 2016

Ioanna D. Constantiou, Arisa Shollo and Morten Thanning Vendelø

An ongoing debate in the field of organizational decision-making concerns the use of intuition versus analytical rationality in decision-making. For the purpose of contributing to…

Abstract

An ongoing debate in the field of organizational decision-making concerns the use of intuition versus analytical rationality in decision-making. For the purpose of contributing to this debate we use a rich empirical dataset built from a longitudinal study of information technology project prioritization in a large financial institution to investigate how managers make space for the use of intuition in decision-making. Our findings show that during project prioritization meetings, senior decision makers apply three different techniques: bringing-in project intangibles, co-promoting intuitive judgments, and associating intuitive judgments with shared group context, when they make space for intuition in decision processes.

Details

Uncertainty and Strategic Decision Making
Type: Book
ISBN: 978-1-78635-170-8

Keywords

Book part
Publication date: 23 May 2017

Ronald K. Mitchell, Jae Hwan Lee and Bradley R. Agle

In this chapter, we update stakeholder salience research using the new lens of stakeholder work: the purposive processes of organization aimed at being aware of, identifying…

Abstract

In this chapter, we update stakeholder salience research using the new lens of stakeholder work: the purposive processes of organization aimed at being aware of, identifying, understanding, prioritizing, and engaging stakeholders. Specifically, we focus on stakeholder prioritization work — primarily as represented by the stakeholder salience model — and discuss contributions, shortcomings, and possibilities for this literature. We suggest that future research focus on stakeholder inclusivity, the complexity of prioritization work within intra-corporate markets, the integration of stakeholder prioritization with other forms of stakeholder work, and the development of managerial tools for multiobjective decision making within the strategic management context.

Details

Stakeholder Management
Type: Book
ISBN: 978-1-78714-407-1

Keywords

Article
Publication date: 1 February 2013

Ben Marriott, Jose Arturo Garza‐Reyes, Horacio Soriano‐Meier and Jiju Antony

Several authors have proposed different approaches to help practitioners deal with the complexity of prioritising improvement projects and initiatives. However, these approaches…

1096

Abstract

Purpose

Several authors have proposed different approaches to help practitioners deal with the complexity of prioritising improvement projects and initiatives. However, these approaches have been developed as “generic” methods which do not consider the specific needs, objectives and capabilities of different industries and organisations. The purpose of this paper is to present an integrated methodology that prioritises improvement projects or initiatives based on two key performance objectives, cost and quality, specifically important for low volume‐high integrity product manufacturers.

Design/methodology/approach

The paper reviews some of the most commonly used prioritisation methods and the theory and logic behind the proposed prioritisation methodology. Then, the prioritisation methodology is empirically tested, through a case study, in a world class manufacturing organisation.

Findings

The results obtained from the case study indicate that the integrated methodology proposed in this paper is an effective alternative for low volume‐high integrity products manufacturers to identify, select and justify improvement priorities.

Practical implications

Selection and prioritisation of projects and initiatives are key elements for the successful implementation of improvements. The integrated methodology presented in this paper intends to aid organisations in dealing with the complexity that is normally handled over the selection and prioritisation of feasible improvement projects.

Originality/value

This paper presents a novel methodology that integrates two commonly used approaches in industry, Process Activity Mapping (PAM) and Failure Mode and Effect Analysis (FMEA), to prioritise improvements. This methodology can help, in particular, organisations embarked in the manufacture of low volume‐high integrity products to take better decisions and align the focus of improvement efforts with their overall performance and strategic objectives.

Details

Journal of Manufacturing Technology Management, vol. 24 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

Open Access
Article
Publication date: 7 June 2021

Adriana Soares Ito, Torbjörn Ylipää, Per Gullander, Jon Bokrantz and Anders Skoogh

Manufacturing companies struggle to manage production disturbances. One step of such management deals with prioritising those disturbances which should undergo root cause…

1722

Abstract

Purpose

Manufacturing companies struggle to manage production disturbances. One step of such management deals with prioritising those disturbances which should undergo root cause analysis. The focus of this work is on two areas. First, investigating current challenges faced by manufacturing companies when prioritising root cause analysis of production disturbances. Second, identifying the stakeholders and factors impacted by production disturbances. Understanding the current challenges and identifying impacted stakeholders and factors allows the development of more efficient prioritisation strategies and, thus, contributes to the reduction of frequency and impact of disturbances.

Design/methodology/approach

To achieve the intended purpose of this research, a qualitative approach was chosen. A series of interviews was conducted with practitioners, to identify current challenges. A series of focus groups was also held, to identify the impacted stakeholders and factors by disturbances.

Findings

Various challenges were identified. These are faced by manufacturing companies in their prioritisation of production disturbances and relate to the time needed, criteria used, centralisation of the process, perspective considered and data support. It was also found that a wide range of stakeholders is impacted by production disturbances, surpassing the limits of production and maintenance departments. Furthermore, the most critical factors impacted are quality, work environment, safety, time, company results, customer satisfaction, productivity, deliverability, resource utilisation, profit, process flow, plannability, machine health and reputation.

Originality/value

The current situation regarding root cause analysis prioritisation has not been identified in previous works. Moreover, there has been no prior systematic identification of the various stakeholders and factors impacted by production disturbances.

Details

International Journal of Quality & Reliability Management, vol. 39 no. 5
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 5 February 2024

Swarup Mukherjee, Anupam De and Supriyo Roy

Identifying and prioritizing supply chain risk is significant from any product’s quality and reliability perspective. Under an input-process-output workflow, conventional risk…

Abstract

Purpose

Identifying and prioritizing supply chain risk is significant from any product’s quality and reliability perspective. Under an input-process-output workflow, conventional risk prioritization uses a risk priority number (RPN) aligned to the risk analysis. Imprecise information coupled with a lack of dealing with hesitancy margins enlarges the scope, leading to improper assessment of risks. This significantly affects monitoring quality and performance. Against the backdrop, a methodology that identifies and prioritizes the operational supply chain risk factors signifies better risk assessment.

Design/methodology/approach

The study proposes a multi-criteria model for risk prioritization involving multiple decision-makers (DMs). The methodology offers a robust, hybrid system based on the Intuitionistic Fuzzy (IF) Set merged with the “Technique for Order Performance by Similarity to Ideal Solution.” The nature of the model is robust. The same is shown by applying fuzzy concepts under multi-criteria decision-making (MCDM) to prioritize the identified business risks for better assessment.

Findings

The proposed IF Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) for risk prioritization model can improve the decisions within organizations that make up the chains, thus guaranteeing a “better quality in risk management.” Establishing an efficient representation of uncertain information related to traditional failure mode and effects analysis (FMEA) treatment involving multiple DMs means identifying potential risks in advance and providing better supply chain control.

Research limitations/implications

In a company’s supply chain, blockchain allows data storage and transparent transmission of flows with traceability, privacy, security and transparency (Roy et al., 2022). They asserted that blockchain technology has great potential for traceability. Since risk assessment in supply chain operations can be treated as a traceability problem, further research is needed to use blockchain technologies. Lastly, issues like risk will be better assessed if predicted well; further research demands the suitability of applying predictive analysis on risk.

Practical implications

The study proposes a hybrid framework based on the generic risk assessment and MCDM methodologies under a fuzzy environment system. By this, the authors try to address the supply chain risk assessment and mitigation framework better than the conventional one. To the best of their knowledge, no study is found in existing literature attempting to explore the efficacy of the proposed hybrid approach over the traditional RPN system in prime sectors like steel (with production planning data). The validation experiment indicates the effectiveness of the results obtained from the proposed IF TOPSIS Approach to Risk Prioritization methodology is more practical and resembles the actual scenario compared to those obtained using the traditional RPN system (Kim et al., 2018; Kumar et al., 2018).

Originality/value

This study provides mathematical models to simulate the supply chain risk assessment, thus helping the manufacturer rank the risk level. In the end, the authors apply this model in a big-sized organization to validate its accuracy. The authors validate the proposed approach to an integrated steel plant impacting the production planning process. The model’s outcome substantially adds value to the current risk assessment and prioritization, significantly affecting better risk management quality.

Details

International Journal of Quality & Reliability Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 29 June 2022

Cristina Bailey and Matias Sokolowski

This study contributes to a growing body of literature on the Paycheck Protection Program (PPP) by examining how lender incentives affected prioritization of large borrowers. In…

Abstract

Purpose

This study contributes to a growing body of literature on the Paycheck Protection Program (PPP) by examining how lender incentives affected prioritization of large borrowers. In addition, this study separately examines incentives for commercial banks and credit unions during the program.

Design/methodology/approach

Using 2020 PPP loan data, the authors create a proxy for lender loan prioritization by comparing the skewness statistics of large and small loan distributions. A regression model is used to examine lender reporting incentives and loan prioritization.

Findings

Results show that larger borrowers were prioritized in receiving PPP loans earlier. Lenders with financial reporting concerns and commercial banks favored large borrowers to a greater extent.

Practical implications

This study may inform social planners and regulators about the benefits and costs of delegating emergency funding loan decisions to financial institutions.

Originality/value

The authors believe this paper is the first to examine financial institution reporting incentives in relationship to PPP lending practices. It adds novelty by examining lender incentives, while prior research has focused heavily on the economic consequences of the program and how borrower–lender relationships affected loan practices during the program.

Details

Managerial Finance, vol. 48 no. 12
Type: Research Article
ISSN: 0307-4358

Keywords

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