Hierarchy the sectorial performance indicators for Brazilian franchises

Purpose – The purpose of this paper is to study the level of importance existing among the indicators that were previously defined for a Performance Measurement Systems (PMS) and are relative to franchises in Brazil, using the Analytic Hierarchy Process (AHP) methodology, together with a series of tests, which are responsible by verifying the degree of reliability, robustness and stability of the parameters used and the results obtained. As a result, the author suggests that the diagnosing of the five delimited indicators have different relevance assigned to them. Design/methodology/approach – This paper reviews extant literatures in Franchise, PMS, Multiple Criteria Decision Making (MCDM), in specific the theory about AHP. Findings – The authors found that it was possible justified, for both the relative and the evaluative method, that the I3 was the main point of the system and, as a consequence, be considered as priority when talking about sectorial development of franchises in Brazil. As for the other indicators, even being located in a level lower than I3, they must be taken into contemplation in these measurements, however, with a relatively inferior importance degree. Practical implications – It was possible to better comprehend which economics and non-economic factors selected have a more predominance in the Brazilian franchise context, according to characteristics of the companies present. Originality/value – The absence of scientific papers that describe the relevance level of the main factors that influence in the Brazilian franchise system.

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Executing strategy through comprehensive performance measurement systems

International Journal of Operations & Production Management ◽

10.1108/ijopm-08-2015-0472 ◽

2017 ◽

Vol 37 (4) ◽

pp. 423-443 ◽

Cited By ~ 24

Author(s):

Pietro Micheli ◽

Matteo Mura

Keyword(s):

Performance Measurement ◽

Performance Indicators ◽

Company Performance ◽

Content Type ◽

Cost Leadership ◽

Measurement Systems ◽

Comprehensive Performance ◽

Different Types ◽

Performance Measurement Systems

Purpose The purpose of this paper is to investigate the mediating role of comprehensive performance measurement systems (PMS) – i.e. measurement systems that comprise financial and non-financial indicators, and which also consist of indicators related to different aspects of an organisation’s operations – in the relationship between strategy and company performance. Design/methodology/approach Survey data of top managers of large European companies were collected and analysed by means of exploratory factor analyses and hierarchical regressions in order to validate the proposed hypotheses. Findings This research shows that different strategies lead to the use of different types of performance indicators. Also, it finds that the utilisation of a comprehensive PMS enables the implementation of both differentiation and cost-leadership strategies. Specifically, a comprehensive PMS positively mediates the effect of differentiation strategy on organisational and innovative performance, and of cost-leadership strategy on organisational performance. Research limitations/implications Further research could be undertaken in other contexts and consider additional factors, such as the structure, maturity and different uses of PMS, and the cost of measuring performance. Qualitative studies could examine the role of PMS in dynamic environments, as well as the evolution of PMS during strategic transitions. Practical implications Greater consideration should be given to the utilisation of different types of performance indicators when implementing and re-formulating strategy. Originality/value This study clarifies the links between strategy and performance measurement, and it is the first to identify the mediating effect of comprehensive PMS between strategy and company performance.

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An integrated AHP and ISO14000, ISO26000 based approach for improving sustainability in supply chains

International Journal of Quality & Reliability Management ◽

10.1108/ijqrm-04-2020-0129 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Faisal Talib ◽

Saheim K Josaiman ◽

Mohd. Nishat Faisal

Keyword(s):

Supply Chain ◽

Analytic Hierarchy Process ◽

Supply Chains ◽

Design Methodology ◽

Multi Criteria Decision Making ◽

Manufacturing Companies ◽

Analytic Hierarchy ◽

Content Type ◽

Hierarchy Process ◽

Practical Implications

PurposeTypically, adoption of sustainability in organizations are often done in an unstructured way without the consideration of other partners in the supply chain. The purpose of this paper is to suggest a coherent plan to improve sustainability in the supply chains utilizing ISO standards for environment and social responsibility.Design/methodology/approachThis paper draws on literature on ISO14000 and ISO26000 to derive a set of variables applicable to supply chains, which are then prioritized for real organizations utilizing analytic hierarchy process.FindingsThe findings highlight that not all the variables of environmental, social and economic responsibility are equally important. Besides, the work reported in this paper justifies the application of multi-criteria decision-making (AHP) to prioritize elements of sustainability in context supply chains. The suggested method is illustrated using inputs from large manufacturing companies in Qatar.Practical implicationsISO14000 and ISO26000 are well known standards; however, there was no effort to integrate these standards to improve sustainability in supply chains. The suggested methodology provides invaluable help to the managers to implement sustainability in a coherent manner across the supply chain.Originality/valueThe research contributes to the extant literature by proposing a new methodology based on the integration of three-approaches: Analytic Hierarchy Process, ISO14000 and ISO26000 systems.

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Prioritising the enablers for the successful implementation of Kaizen in China

International Journal of Quality & Reliability Management ◽

10.1108/ijqrm-12-2015-0173 ◽

2017 ◽

Vol 34 (4) ◽

pp. 549-568 ◽

Cited By ~ 8

Author(s):

Jie Ma ◽

Zhibin Lin ◽

Chi Keung Lau

Keyword(s):

Joint Ventures ◽

Shop Floor ◽

Successful Implementation ◽

Analytic Hierarchy ◽

Content Type ◽

Priority Weights ◽

Improvement Method ◽

Hierarchy Process ◽

Practical Implications

Purpose The purpose of this paper is to develop a better understanding of how Sino-Japanese joint ventures implemented the three Japanese improvement methods, i.e. Kaizen, Kaikaku and Kaizen Blitz. The specific objectives of this study are to identify the key enablers for the three improvement methods; and to identify the most selected improvement method. Design/methodology/approach This study employs a fuzzy analytic hierarchy process to pairwise-compare the three improvement methods. Data are collected from 28 industry experts from Sino-Japanese joint ventures. The study then adopts extent analysis approach for pairwise comparisons and extent analysis to obtain synthetic extent values for priority weights. Findings The results of the study indicate that personnel (humanware) factor enablers are the most important factor for Kaizen, whilst software factor enablers (essential rules, policies and institutional arrangements) weight second and hardware factor enablers (physical, measurable hard facts or resources) weight last. The study also reviews that Kaizen is the most selected improvement method among the three. Research limitations/implications The sample of this study is limited to Sino-Japanese ventures in Guangzhou, China. This study only identifies the key improvement enablers based on interviews with shop floor managers and improvement experts. Practical implications Practical implications are threefold: the improvement implementations should be based on factors such as regular training, incentives for motivations and shop floor management; improvement methods are transferable and standard operations may only have small effects on collecting improvement ideas; and Kaizen is the appropriate method to support long-term and process-oriented improvements. Originality/value This study is the first to specifically pairwise-compare the three Japanese improvement methods and to identify priorities of their key enablers in Sino-Japanese joint ventures.

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Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method

International Journal of Quality & Reliability Management ◽

10.1108/ijqrm-10-2013-0169 ◽

2015 ◽

Vol 32 (7) ◽

pp. 763-782 ◽

Cited By ~ 59

Author(s):

Hu-Chen Liu ◽

Jian-Xin You ◽

Xue-Feng Ding ◽

Qiang Su

Keyword(s):

Decision Making ◽

Failure Modes ◽

Multiple Criteria Decision Making ◽

Multiple Criteria ◽

Analytic Hierarchy ◽

Effect Analysis ◽

Maintenance Strategies ◽

Content Type ◽

Safety And Reliability ◽

Hierarchy Process

Purpose – The purpose of this paper is to develop a new failure mode and effect analysis (FMEA) framework for evaluation, prioritization and improvement of failure modes. Design/methodology/approach – A hybrid multiple criteria decision-making method combining VIKOR, decision-making trial and evaluation laboratory (DEMATEL) and analytic hierarchy process (AHP) is used to rank the risk of the failure modes identified in FMEA. The modified VIKOR method is employed to determine the effects of failure modes on together. Then the DEMATEL technique is used to construct the influential relation map among the failure modes and causes of failures. Finally, the AHP approach based on the DEMATEL is utilized to obtain the influential weights and give the prioritization levels for the failure modes. Findings – A case study of diesel engine’s turbocharger system is provided to illustrate the potential application and benefits of the proposed FMEA approach. Results show that the new risk priority model can be effective in helping analysts find the high risky failure modes and create suitable maintenance strategies. Practical implications – The proposed FMEA can overcome the shortcomings and improve the effectiveness of the traditional FMEA. Particularly, the dependence and interactions between different failure modes and effects have been addressed by the new failure analysis method. Originality/value – This paper presents a systemic analytical model for FMEA. It is able to capture the complex interrelationships among various failure modes and effects and provide guidance to analysts by setting the suitable maintenance strategies to improve the safety and reliability of complex systems.

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Prioritization of financial performance determinants in Indian SMEs

Journal of Indian Business Research ◽

10.1108/jibr-03-2018-0088 ◽

2020 ◽

Vol 12 (2) ◽

pp. 169-190

Author(s):

Vishal Vyas ◽

Priyanka Jain

Keyword(s):

Financial Performance ◽

Future Research ◽

Competitive Strategies ◽

Analytic Hierarchy ◽

Content Type ◽

Performance Determinants ◽

Corporate Social ◽

Hierarchy Process ◽

Practical Implications ◽

Structured Questionnaire

Purpose This study aims to quantify and prioritize the financial performance (FP) determinants in Indian small and medium-sized enterprises (SMEs). Design/methodology/approach Analytic hierarchy process, a multi-criteria decision-making tool, was used. Experts were allowed to express the opinion regarding the relative importance of each factor and sub-factors by making pairwise comparisons through a structured questionnaire based on a nine-point scale. Findings Market orientation (0.4529) was perceived as the most important FP determinant followed by the entrepreneurial orientation (0.3382) and corporate social responsibility (0.2089) in SMEs. Research limitations/implications This study can be considered as a pilot study because it is confined to Indian SMEs. Future research studies can incorporate the opinion or insights of other stakeholders and may target the SMEs situated in different geographical areas. Practical implications The inferences drawn in this study would clarify the conceptual and contextual applicability of competitive strategies in SMEs. Indeed, proposed hierarchy and developed framework would guide the SMEs in strategic planning. Moreover, it would help in repositioning and alignment of core strategies duly with business objectives. Originality/value The study represents the foremost step and a unique effort in the area of development of hypothetical model (a hierarchal model) with the framework considered to prioritize the FP determinants in SMEs.

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KPIs for performance measurement of e-fulfillment systems in multi-channel retailing

International Journal of Retail & Distribution Management ◽

10.1108/ijrdm-10-2017-0259 ◽

2019 ◽

Vol 48 (1) ◽

pp. 35-52 ◽

Cited By ~ 1

Author(s):

Gregory Bressolles ◽

Gerald Lang

Keyword(s):

Supply Chain ◽

Performance Indicators ◽

Supply Chain Performance ◽

Online Retailing ◽

Online Questionnaire ◽

Content Type ◽

Measurement Systems ◽

Customer Expectation ◽

Two Sectors ◽

Practical Implications

Purpose The purpose of this paper is to expand existing research on fulfillment systems for multi-channel retailers by combining analysis of customer expectation (CE) with economic performance (EP) aspects. Design/methodology/approach This exploratory study is based on a literature review of supply chain management and marketing combined with the results of an online questionnaire submitted to French and Chinese multi-channel retailers from two sectors. Findings The results enable the authors to identify 13 important key performance indicators (KPIs) used by multi-channel retailers for measuring e-fulfillment system performance and also to determine under which of the EP or CE criteria these KPIs might be linked. Research limitations/implications Although the sample size is limited, this research is intended to be exploratory, based on the practices of supply chain and marketing managers. Moreover, the results do not address interdependencies among the different KPIs. Practical implications E-fulfillment is a major challenge for multi-channel retailers; it is cost intensive and critical for customer satisfaction. The identified set of KPIs enables retailers to choose those relevant to their particular infrastructure. Originality/value A limited number of scholarly works have explored the operational implications of online retailing in terms of e-fulfillment in a multi-channel context. In order to manage such supply chains efficiently and effectively, traditional measures of supply chain performance need to be adapted. This study expands existing knowledge by developing measurement systems and metrics for the evaluation of supply chain performance in this context.

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Factors for performance measurement systems design in nonprofit organizations and public administration

Measuring Business Excellence ◽

10.1108/mbe-10-2019-0102 ◽

2020 ◽

Vol 24 (3) ◽

pp. 377-399

Author(s):

Louisi Francis Moura ◽

Edson Pinheiro de Lima ◽

Fernando Deschamps ◽

Eileen M. Van Aken ◽

Sergio E. Gouvea Da Costa ◽

...

Keyword(s):

Performance Measurement ◽

Nonprofit Organizations ◽

Public Administration ◽

Systems Design ◽

Content Type ◽

Measurement Systems ◽

Performance Measurement Systems ◽

The Impact ◽

Design Factors ◽

Practical Implications

Purpose The purpose of this research is to examine the factors that influence the design of performance measurement systems (PMSs) in nonprofit organizations (NPOs) and public administration and explore inter-relationships among these factors. Design/methodology/approach Findings resulted through the identification of design factors from the paper portfolio of a previous systematic literature review on this topic and the construction of a factor co-occurrence network for the identified factors. Findings The methodology helped to determine the relationships among factors and show how these factors influence PMSs in NPOs and public administration. It also helped to demonstrate how PMSs in these organizations are different from PMSs in traditional companies because of the impact of the factors on the complexity and dynamics of NPOs and public administration. The findings and discussion contribute to the performance measurement literature on NPOs and public administration by presenting a set of design factors related to purpose, stakeholders and management. Practical implications This paper presents practical implications for managers regarding the PMS design process and shows how some design factors can be particularly related to these organizations Originality/value The design factors are particular to the organizational dynamic and should be considered by managers involved with the design (or redesign) process of performance measurement systems.

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Use of AHP in decision-making for machine tool configurations

Journal of Manufacturing Technology Management ◽

10.1108/jmtm-02-2016-0028 ◽

2016 ◽

Vol 27 (6) ◽

pp. 874-888 ◽

Cited By ~ 4

Author(s):

Uday Hameed Farhan ◽

Majid Tolouei-Rad ◽

Adam Osseiran

Keyword(s):

Decision Making ◽

Multiple Criteria Decision Making ◽

Pairwise Comparison ◽

Assessment Process ◽

Analytic Hierarchy ◽

Content Type ◽

Four Levels ◽

Time Required ◽

Hierarchy Process ◽

Selection Of

Purpose The purpose of this paper is to develop a model of analytic hierarchy process (AHP), a multiple criteria decision-making method, to assist selecting suitable machine configurations for special purpose machines (SPMs) from available alternatives. Design/methodology/approach The necessary criteria and sub-criteria were identified and used in the developed model. The assessment process was carried out by constructing the hierarchy of four levels. Then, pairwise comparison matrices were created for each level to compute the weights for the alternatives. The model was programmed and implemented by software for practical use. Findings Different scenarios were obtained from the assessment process of the developed AHP model showing the influence of changing the relevant importance of the elements in the hierarchy on the selection of SPMs configurations. Selection of the suitable scenario was also affected by some factors of manufacturing preferences and industry recommendations such as cost and production rate. Originality/value This is a new application of AHP method which assists decision makers to select suitable configurations for SPMs, and reduce the time required for designing SPMs.

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Weighted absolute degree of grey incidence with TOPSIS and its application

Grey Systems Theory and Application ◽

10.1108/gs-11-2015-0074 ◽

2016 ◽

Vol 6 (2) ◽

pp. 281-291 ◽

Cited By ~ 2

Author(s):

Qian Li

Keyword(s):

Public Opinion ◽

Design Methodology ◽

Analytic Hierarchy ◽

Content Type ◽

Effect Measure ◽

Good Consistency ◽

The Matrix ◽

Government Work ◽

Hierarchy Process ◽

Practical Implications

Purpose – The purpose of this paper is to evaluate and rank the influence of internet public opinion of China’s Government work in 2015 by weighted absolute degree of grey incidence with TOPSIS. Design/methodology/approach – This disaggregation method includes four main steps, determine the vector of weights for the factors by analytic hierarchy process, calculate the matrix of consistent effect measure, determine the weighted absolute degree of grey incidence with TOPSIS, rank and evaluate the events. Findings – We get the ranking of internet public opinion of China’s Government work in 2015 by weighted absolute degree of grey incidence with TOPSIS. The result can be used for evaluating and ranking the influence of internet public opinion in China. The positive weighted absolute degree of grey incidence, the negative weighted absolute degree of grey incidence and the weighted absolute degree of grey incidence with TOPSIS have the same ranking results. The same ranking results show that the method of weighted absolute degree of grey incidence with TOPSIS has good consistency. Practical implications – The weighted absolute degree of grey incidence with TOPSIS can be easily used for other evaluation. Originality/value – The weighted absolute degree of grey incidence with TOPSIS is proposed and first used for evaluating and ranking the influence of internet public opinion of China’s Government work.

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EVALUASI KINERJA PROGRAM STUDI PENDIDIKAN TEKNIK MESIN FKIP UNS MENGGUNAKAN METODE INTEGRATED PERFORMANCE MEASUREMENT SYSTEMS (IPMS)

Jurnal Ilmiah Pendidikan Teknik dan Kejuruan ◽

10.20961/jiptek.v10i1.14968 ◽

2017 ◽

Vol 10 (1) ◽

pp. 11

Author(s):

Bekti Khonaah ◽

Suharno Suharno ◽

Budi Harjanto

Keyword(s):

Performance Measurement ◽

Analytical Hierarchy Process ◽

Performance Indicators ◽

Key Performance Indicators ◽

Measurement Systems ◽

Performance Measurement Systems ◽

Integrated Performance ◽

Hierarchy Process

Penelitian ini bertujuan untuk mengevaluasi kinerja dari Program Studi Pendidikan Teknik Mesin. Metode yang digunakan pada penelitian ini adalah (1) Integrated Performance Measurement Systems (IPMS) yang tujuan utamanya adalah merancang sistem pengukuran; (2) Analytical Hierarchy Process (AHP) yang bertujuan untuk melakukan pembobotan indikator; dan (3) Objective Matrix (OMAX) yang bertujuan untuk melakukan pengukuran kinerja. Hasil dari penelitian ini adalah sebagai berikut. Pertama, hasil rancangan pengukuran kinerja terdiri dari 14 indikator yang termasuk dalam 6 kriteria perspektif pengukuran kinerja. Kedua, tingkat kinerja pada tiap Key Performance Indicators (KPI) yang paling tinggi adalah indikator tersedia instrumen baku untuk mengukur kinerja dosen dalam perkuliahan, sedangkan kinerja yang paling rendah adalah indikator 95% lembar Berita Acara Perkuliahan (BAP). Kinerja Program Studi Pendidikan Teknik Mesin secara keseluruhan memiliki indeks kinerja sebesar 5,055, sehingga kinerja pada Program Studi Pendidikan Teknik Mesin masuk dalam kategori mengalami peningkatan kinerja. Ketiga, kinerja yang perlu ditingkatkan pada Program Studi Pendidikan Teknik Mesin Universitas Sebelas Maret Surakarta terdapat 8 Key Performance Indicators (KPI). Kinerja yang perlu diperbaiki pada Program Studi Pendidikan Teknik Mesin Universitas Sebelas Maret Surakarta adalah 95% lembar Berita Acara Perkuliahan (BAP) terisi. Kata Kunci: pengukuran kinerja, IPMS, AHP, Pendidikan Teknik Mesin, KPI.

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