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Article
Publication date: 3 June 2014

Kazi Arif-Uz-Zaman and A.M.M. Nazmul Ahsan

– The purpose of this paper is to present supply chain metrics and to propose a fuzzy-based performance evaluation method for lean supply chain.

10356

Abstract

Purpose

The purpose of this paper is to present supply chain metrics and to propose a fuzzy-based performance evaluation method for lean supply chain.

Design/methodology/approach

To understand the overall performance of cost competitive supply chain the paper investigates the alignment of market strategy and position of the supply chain. Since lean is applicable in many supply chains, the authors propose a set of metrics to evaluate supply chain performance. Moreover, the paper uses a fuzzy model to evaluate the performance of cost competitive supply chains. Fuzzy is an appropriate model method when uncertainty is present. It also allows modelling of a significant number of performance metrics across multiple supply chain elements and processes. Competitive strategy can be achieved by using a different weight calculation for different supply chain situations.

Findings

Research provides optimal metrics for lean supply chains. The proposed method can measure the performance of lean supply chains using a fuzzy approach and competitive strategies.

Research limitations/implications

The metrics which have been selected to measure the performance of lean supply chains is particularly applicable for high volume, low-price products.

Practical implications

By identifying optimal performance metrics and applying performance evaluation methods, managers can predict the overall supply chain performance under lean strategy. By identifying performance for each metric they can also categorize the existing performance and optimise them accordingly.

Originality/value

This study provides a performance evaluation method for supply chain managers to assess the effects of lean tools and competitive strategies.

Details

International Journal of Productivity and Performance Management, vol. 63 no. 5
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 30 December 2020

Vahid Nazari-Ghanbarloo

This paper aims to propose a dynamic model for measurement supply chain performance (SCP) based on a dynamic balanced scorecard (DBSC). Balanced scorecard (BSC) can be defined as…

Abstract

Purpose

This paper aims to propose a dynamic model for measurement supply chain performance (SCP) based on a dynamic balanced scorecard (DBSC). Balanced scorecard (BSC) can be defined as a popular performance measurement method that can translate the strategy into a set of performance indicators and manage the status of implementing the various strategies. However, BSC is unable to simulate the complicated environment and the dynamic behavior of performance metrics. Therefore, the author combines BSC with system dynamics (SD) to explore a more efficient tool for measurement SCP.

Design/methodology/approach

A dynamic causal model is proposed based on the causal hypotheses. The developed DBSC enables managers to evaluate and measure the SCP in a much-balanced way. Using DBSC makes it possible that different SCP metrics to be reviewed and distributed into the four above-mentioned perspectives. It also enables supply chain (SC) managers to evaluate different strategies to improve SCP.

Findings

investigates two strategies to improve SCP as follows: (1) competitive strategy and (2) harvesting big data and using data mining techniques to determine the customer's expectations and then compares the results of these two strategies based on the four perspectives of DBSC and introduce the best strategy. Finally, harvesting big data and data mining is selected as the best strategy.

Originality/value

This study proposes a novel strategic management tool for measurement SCP and simulation of the complicated environment and the dynamic behavior of performance metrics. The proposed DBSC model enables managers to compare different strategies and select the best strategy.

Details

International Journal of Productivity and Performance Management, vol. 71 no. 2
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 20 March 2009

Reviews the latest management developments across the globe and pinpoints practical implications from cutting‐edge research and case studies.

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Abstract

Purpose

Reviews the latest management developments across the globe and pinpoints practical implications from cutting‐edge research and case studies.

Design/methodology/approach

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Findings

Even in the current economic turmoil, innovation remains a high strategic priority for most companies, and it is typically seen as a strong contributor to growth. Yet many of these same companies still struggle to measure, as effectively as they should, the performance of their innovation activities. A fact confirmed by three different studies on innovation practices and measures conducted during the later half of 2008. For instance, the Boston Consulting Group's Senior Management Survey entitled “Measuring Innovation 2008; squandered opportunities” found that only 43 percent of companies surveyed track innovation as rigorously as they track other (and less important) business operations, even though three out of four executives believes they should do so. Also, only 35 percent of executives are satisfied with their company's current innovation‐measurement practices.

Practical implications

Provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

Originality/value

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to‐digest format.

Details

Strategic Direction, vol. 25 no. 4
Type: Research Article
ISSN: 0258-0543

Keywords

Abstract

Details

Financial Modeling for Decision Making: Using MS-Excel in Accounting and Finance
Type: Book
ISBN: 978-1-78973-414-0

Article
Publication date: 16 November 2022

Zhenkun Liu, Ping Jiang, Jianzhou Wang, Zhiyuan Du, Xinsong Niu and Lifang Zhang

This study/paper aims to reach the core objective of hospitality order cancellation prediction (HOCP), that is, to identify potential cancellers from many customer bases, thereby…

Abstract

Purpose

This study/paper aims to reach the core objective of hospitality order cancellation prediction (HOCP), that is, to identify potential cancellers from many customer bases, thereby enhancing the effectiveness of customer retention campaigns. However, few studies have focused on predicting hospitality order cancellation.

Design/methodology/approach

A novel profit-driven model for predicting hospitality order cancellation is proposed to bridge this research gap. The authors construct profit-driven extreme gradient boosting (XGBoost) based on a grid search on HOCP to maximize profit by selecting optimal hyperparameters of XGBoost.

Findings

Real-world data set is analyzed, and the proposed model yields more profits than other predictive models. Sensitivity analysis proves that the proposed model is robust to the key hyperparameter and application scenario. Furthermore, some preventive measures based on visual analysis results are provided to reduce the cancelled probability of orders.

Research limitations/implications

This research will help hotel managers to transfer the modeling goal to profit orientation and encourage relevant researchers to interpret the prediction results of models for hotel order cancellation prediction in a post hoc manner. Besides, the proposed model can be applied to various enterprises with different average order profits and help managers optimize revenue management.

Originality/value

This research expands the relevant literature and offers guidance for predicting hospitality order cancellation from a profit-driven perspective at the customer level. The proposed model can provide macro-control to hotel managers and obtain the most satisfactory profits in micro-control.

Details

International Journal of Contemporary Hospitality Management, vol. 35 no. 6
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 25 September 2018

Ebha Garg, Sanjeev Swami and Sunita Kumari Malhotra

Literature suggests that branding effectiveness measures are present in for-profit sectors but lacks such comprehensive measures for the non-profit sector. Moreover, most of the…

1895

Abstract

Purpose

Literature suggests that branding effectiveness measures are present in for-profit sectors but lacks such comprehensive measures for the non-profit sector. Moreover, most of the branding effectiveness measures are either based on brand image approach or on brand identity approach. The purpose of this paper is, therefore, to propose an integrated branding effectiveness measurement metrics for non-profit organizations (NPOs).

Design/methodology/approach

Judgmental and simple random sampling techniques are used for data collection. The final sample comprises 150 respondents including donors, volunteers, beneficiaries and media who were administered interview schedules. Based on the ratings given by the respondents regarding branding effectiveness parameters of the five NPOs of a major city in Northern India, branding effectiveness score of each NPO is computed. The branding measures adopted by NPOs rated high are selected in the proposed brand effectiveness metrics.

Findings

The proposed metrics encapsulates brand identity parameters such as management profile, vision, culture, as well as brand image parameters such as brand awareness, brand understanding, brand association of the stakeholders, etc. The metrics also link the two through brand performance parameters.

Research limitations/implications

Multiple hierarchical structures of government infested with bureaucracy and lack of specialized staff with focused approach have reduced the effectiveness of their socio-development programs in emerging economies. This has led to an increase in number, diversity and impact of NPOs that compete for resource generation. Branding is a powerful tool for NPOs not only for resource generation but also for driving the social goals. The branding effectiveness metrics would help NPO managers reinforce the internal identity by increasing the cohesion and the capacity of the organization as well as create a strong brand image by garnering the support of multiple stakeholders through mutual trust thereby creating a greater social impact.

Originality/value

The uniqueness of the study stems from the fact that the proposed branding effectiveness measurement metrics in non-profit environment encapsulates brand image, brand identity and brand performance parameters.

Details

Journal of Advances in Management Research, vol. 16 no. 1
Type: Research Article
ISSN: 0972-7981

Keywords

Article
Publication date: 17 July 2017

Pilsik Choi

The purposes of this paper are to propose a different profitability metric (i.e. anchor category profits) at the category level based on the concept of anchor categories and to…

Abstract

Purpose

The purposes of this paper are to propose a different profitability metric (i.e. anchor category profits) at the category level based on the concept of anchor categories and to illustrate how such a metric can be calculated in field settings to offer a balanced view of profit structure from both the accounting and marketing perspectives.

Design/methodology/approach

First, the concept of anchor categories is developed drawing on anchor effects theory and automatic cognitive processing theory. Based on anchor categories, this paper proposes a formula for calculating anchor category profits. Using the data collected with a survey instrument, this paper calculates accounting profits and anchor category profits for two grocery stores.

Findings

The intra-store analysis of accounting profits and anchor category profits reveals that the two profit measures project different profit contribution patterns by product categories for each store. The inter-store analysis provides quite different, yet useful information about profit structures for the two grocery stores. Although the two stores are similar in terms of accounting profits, their anchor category profits show different pictures regarding profit contribution patters by product categories between the two stores, revealing that different categories attract customers to different stores.

Practical/implications

Comparing accounting profits and anchor category profits allows retail managers to identify traffic generator categories and cash generator categories, which helps retail managers develop more effective category management to increase storewide profits.

Originality value

This paper increases understanding of the relationship between product categories and store choice behavior by offering a theoretical rationale to explain why some product categories influence consumers’ store choice. This paper also proposes anchor category profits as a more implementation-friendly category-level profitability metric that combines accounting principles with consumers’ shopping trip planning behavior.

Details

Management Research Review, vol. 40 no. 7
Type: Research Article
ISSN: 2040-8269

Keywords

Article
Publication date: 3 April 2017

Anestis K. Fotiadis and Chris Vassiliadis

The purpose of this paper is to present a comparison between the traditional methods for the calculation of customer relationship performance and the modern metrics suggested by…

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Abstract

Purpose

The purpose of this paper is to present a comparison between the traditional methods for the calculation of customer relationship performance and the modern metrics suggested by the current literature in business-to-business (B2B) markets using the Greek maritime shipping industry as an example.

Design/methodology/approach

The primary research was conducted in two phases: quantitative analysis of actual measurements and qualitative evaluation of the results. More specifically, in the first phase, the measures used were a collection of traditional and modern customer relationship management (CRM) metrics applied to actual historical data along with statistical data for actual customers of a company supplying services for maritime transportation of containers in the Greek international trade market. For the qualitative evaluation of these results, a semi-structured interview was carried out with seven “specialists/experts” in this business sector, who provided an assessment of the relative worth of each set of CRM measures.

Findings

The use of modern customer-centred metrics (Share and Size of Wallet, recency, frequency, monetary value) in the shipping sector of Greek industrial activity is the most profitable and efficient means of decision-making. The qualitative research showed that the customer-centred metrics were judged to be more effective and useful, as they provided a multi-dimensional and multi-layered picture of the current and future situation for the company and its customer base.

Research limitations/implications

To ensure confidentiality of personal information, the research did not use, examine or evaluate the individualized data to preserve the anonymity of the survey sponsor and their specific customers.

Originality/value

This is the first study that examines the effectiveness of different types of CRM metrics in the B2B market, which has, until now, suffered a dearth of empirical studies in the field, especially in the context of national economies that face intense international trading problems and significant reductions in activity in their maritime shipping industry due to the economic recession.

Details

Journal of Business & Industrial Marketing, vol. 32 no. 3
Type: Research Article
ISSN: 0885-8624

Keywords

Open Access
Article
Publication date: 10 April 2023

Carlos J.O. Trejo-Pech, Karen L. DeLong and Robert Johansson

The United States (US) sugar program protects domestic sugar farmers from unrestricted imports of heavily-subsidized global sugar. Sugar-using firms (SUFs) criticize that program…

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Abstract

Purpose

The United States (US) sugar program protects domestic sugar farmers from unrestricted imports of heavily-subsidized global sugar. Sugar-using firms (SUFs) criticize that program for causing US sugar prices to be higher than world sugar prices. This study examines the financial performance of publicly traded SUFs to determine if they are performing at an economic disadvantage in terms of accounting profitability, risk and economic profitability compared to other industries.

Design/methodology/approach

Firm-level financial accounting and market data from 2010 to 2019 were utilized to construct financial metrics for publicly traded SUFs, agribusinesses and general US firms. These financial metrics were analyzed to determine how SUFs compare to their agribusiness peer group and general US companies. The comprehensive financial analysis in this study covers: (1) accounting profit rates, (2) drivers of profitability, (3) economic profit rates, (4) trend analysis and (5) peer comparisons. Quantile regression analysis and Wilcoxon–Mann–Whitney statistics are employed for statistical comparisons.

Findings

Regarding various profitability and risk measures, SUFs outperform their agribusiness peers and the general benchmark of all US firms in terms of accounting profit rates, risk levels and economic profit rates. Furthermore, compared to other US industries using the 17 French and Fama classifications, SUFs have the highest return on investment and economic profit rate―measured by the Economic Value Added® margin―and the second-lowest opportunity cost of capital, measured by the weighted average cost of capital.

Originality/value

This study finds nothing to suggest that the US sugar program hinders the financial success of SUFs, contrary to recent claims by sugar-using firms. Notably in this analysis is the evaluation of economic profit rates and a series of robustness techniques.

Details

Agricultural Finance Review, vol. 83 no. 3
Type: Research Article
ISSN: 0002-1466

Keywords

Book part
Publication date: 1 January 2006

Donald R. Lehmann

Abstract

Details

Review of Marketing Research
Type: Book
ISBN: 978-0-7656-1305-9

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