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Article
Publication date: 1 April 1990

Andrew P. Marks

Sir Clive Sinclair – an electronics genius – hasdeveloped a number of completely innovativeproducts and made remarkable breakthroughs intechnology. He has had great…

Abstract

Sir Clive Sinclair – an electronics genius – has developed a number of completely innovative products and made remarkable breakthroughs in technology. He has had great success, but also some disasters, the most notable being the C5 electric vehicle. The reasons for this failure are examined mainly from a marketing perspective. Sinclair ignored the basic principles of marketing and new product development, and thereby made a number of fundamental errors. The market was badly defined, there was a lack of both quantitative and qualitative market research, the safety and performance aspects of the vehicle failed to meet the manufacturer′s claims, the advertising messages were confusing, the product and price unsatisfactory and the distribution methods chosen were inappropriate to such a new product concept – in general, marketing principles were totally ignored. Suggestions as to how the C5 failure could have been avoided are presented.

Details

Management Decision, vol. 28 no. 4
Type: Research Article
ISSN: 0025-1747

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Content available
Article
Publication date: 11 December 2020

Balamurugan Souprayen, Ayyasamy Ayyanar and Suresh Joseph K

The purpose of the food traceability is used to retain the good quality of raw material supply, diminish the loss and reduced system complexity.

Abstract

Purpose

The purpose of the food traceability is used to retain the good quality of raw material supply, diminish the loss and reduced system complexity.

Design/methodology/approach

The proposed hybrid algorithm is for food traceability to make accurate predictions and enhanced period data. The operation of the internet of things is addressed to track and trace the food quality to check the data acquired from manufacturers and consumers.

Findings

In order to survive with the existing financial circumstances and the development of global food supply chain, the authors propose efficient food traceability techniques using the internet of things and obtain a solution for data prediction.

Originality/value

The operation of the internet of things is addressed to track and trace the food quality to check the data acquired from manufacturers and consumers. The experimental analysis depicts that proposed algorithm has high accuracy rate, less execution time and error rate.

Details

Modern Supply Chain Research and Applications, vol. 3 no. 1
Type: Research Article
ISSN: 2631-3871

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Article
Publication date: 13 June 2017

Y. Srinivasa Rao

This paper elicits information, an excess of information and the stakeholders’ role in the use of information. The purpose of this paper is to create a “C5 model”…

Abstract

Purpose

This paper elicits information, an excess of information and the stakeholders’ role in the use of information. The purpose of this paper is to create a “C5 model” (clients, connectivity, content, copyright and cost) for the consortium management to support and improve its academic and administrative decision-making skills and optimize returns.

Design/methodology/approach

The methodology used for this study was “strength, weakness, opportunity and threat” (SWOT) analysis. As a tool, it was used as one of the strategic analytical techniques to evaluate various aspects of consortium management. The purpose of choosing this method was to derive a set of strategies for comparing the internal (strengths/weaknesses) and external (opportunities/threats) forces of the “C5 model” of consortium management.

Findings

From the SWOT analysis of the “C5 model,” it was observed that four combinations, maxi-maxi (strengths/opportunities (SO), mini-maxi (weaknesses/opportunities (WO), maxi-mini (strengths/threats (ST)) and mini-mini (weaknesses/threats (WT)), were drawn to derive a set of strategies to benefit the consortium management. The SO strategies such as building a client-centric resource management system, centralized gateway, collaborative acquisition model, common copyright communication and clearance center and cost-benefit analysis were built on the basis of the strengths and opportunities identified. Likewise, the WO strategies such as organizational planning, equality in ICT infrastructure facilities, quality content, public disclosure of copyright obligations and effective economic models were drawn to minimize the weaknesses of each component by taking advantage of the identified opportunities. The ST strategies were worked out using strengths of the model to possibly mitigate its threats. Similarly, the WT strategies were created to minimize the weaknesses and avoid the threats as much as possible. However, these strategies would not only help consortium management in the decision-making process, but also optimize returns and improve the intellectual outcome of organizations.

Originality/value

Not many research studies have been developed regarding the SWOT analysis of the “C5 model” for consortium management. This study attempts to benefit a large community of library and information science professionals, consortia and their clients.

Details

Library Management, vol. 38 no. 4/5
Type: Research Article
ISSN: 0143-5124

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Article
Publication date: 15 June 2021

Manogna R.L. and Aswini Kumar Mishra

Determining the relevant information using financial measures is of great interest for various stakeholders to analyze the performance of the firm. This paper aims at…

Abstract

Purpose

Determining the relevant information using financial measures is of great interest for various stakeholders to analyze the performance of the firm. This paper aims at identifying these financial measures (ratios) which critically affect the firm performance. The authors specifically focus on discovering the most prominent ratios using a two-step process. First, the authors use an exploratory factor analysis to identify the underlying dimensions of these ratios, followed by predictive modeling techniques to identify the potential relationship between measures and performance.

Design/methodology/approach

The study uses data of 25 financial variables for a sample of 1923 Indian manufacturing firms which exist continuously between 2011 and 2018. For prediction models, four popular decision tree algorithms [Chi-squared automatic interaction detector (CHAID), classification and regression trees (C&RT), C5.0 and quick, unbiased, efficient statistical tree (QUEST)] were investigated, and the information fusion-based sensitivity analyses were performed to identify the relative importance of these input measures.

Findings

Results show that C5.0 and CHAID algorithms produced the best predictive results. The fusion sensitivity results find that net profit margin and total assets turnover rate are the most critical factors determining the firm performance in an Indian manufacturing context. These findings may enable managers in their decision-making process and also have vital implications for investors in assessing the performance of the firm.

Originality/value

To the best of the authors’ knowledge, the current paper is the first to address the application of decision tree algorithms to predict the performance of manufacturing firms in an emerging economy such as India, with the latest data. This practical perspective helps the organizations in managing the critical parameters for the firm’s growth.

Details

Measuring Business Excellence, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1368-3047

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Article
Publication date: 16 March 2010

Cataldo Zuccaro

The purpose of this paper is to discuss and assess the structural characteristics (conceptual utility) of the most popular classification and predictive techniques…

Abstract

Purpose

The purpose of this paper is to discuss and assess the structural characteristics (conceptual utility) of the most popular classification and predictive techniques employed in customer relationship management and customer scoring and to evaluate their classification and predictive precision.

Design/methodology/approach

A sample of customers' credit rating and socio‐demographic profiles are employed to evaluate the analytic and classification properties of discriminant analysis, binary logistic regression, artificial neural networks, C5 algorithm, and regression trees employing Chi‐squared Automatic Interaction Detector (CHAID).

Findings

With regards to interpretability and the conceptual utility of the parameters generated by the five techniques, logistic regression provides easily interpretable parameters through its logit. The logits can be interpreted in the same way as regression slopes. In addition, the logits can be converted to odds providing a common sense evaluation of the relative importance of each independent variable. Finally, the technique provides robust statistical tests to evaluate the model parameters. Finally, both CHAID and the C5 algorithm provide visual tools (regression tree) and semantic rules (rule set for classification) to facilitate the interpretation of the model parameters. These can be highly desirable properties when the researcher attempts to explain the conceptual and operational foundations of the model.

Originality/value

Most treatments of complex classification procedures have been undertaken idiosyncratically, that is, evaluating only one technique. This paper evaluates and compares the conceptual utility and predictive precision of five different classification techniques on a moderate sample size and provides clear guidelines in technique selection when undertaking customer scoring and classification.

Details

Journal of Modelling in Management, vol. 5 no. 1
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 1 January 1989

Andrew P. Marks

The development of the Sinclair C5 is outlined from its origins toits launch in January 1985. The development is then compared with the“textbook” stages of new product…

Abstract

The development of the Sinclair C5 is outlined from its origins to its launch in January 1985. The development is then compared with the “textbook” stages of new product development to highlight differences. Factors that contributed to the failure are examined, encompassing such criticisms as lack of market research, actual development, safety and performance aspects, and so on. Other possible marketing opportunities for the C5 that may have avoided failure for the product are suggested.

Details

European Journal of Marketing, vol. 23 no. 1
Type: Research Article
ISSN: 0309-0566

Keywords

Content available
Article
Publication date: 13 July 2021

Matteo Davide Lorenzo Dalla Vedova and Pier Carlo Berri

The purpose of this paper is to propose a new simplified numerical model, based on a very compact semi-empirical formulation, able to simulate the fluid dynamics behaviors…

Abstract

Purpose

The purpose of this paper is to propose a new simplified numerical model, based on a very compact semi-empirical formulation, able to simulate the fluid dynamics behaviors of an electrohydraulic servovalve taking into account several effects due to valve geometry (e.g. flow leakage between spool and sleeve) and operating conditions (e.g. variable supply pressure or water hammer).

Design/methodology/approach

The proposed model simulates the valve performance through a simplified representation, deriving from the linearized approach based on pressure and flow gains, but able to evaluate the mutual interaction between boundary conditions, pressure saturation and leak assessment. Its performance was evaluated comparing with other fluid dynamics numerical models (a detailed physics-based high-fidelity one and other simplified models available in the literature).

Findings

Although still showing some limitations attributable to its simplified formulation, the proposed model overcomes several deficiencies typical of the most common fluid dynamic models available in the literature, describing the water hammer and the nonlinear dependence of the delivery differential pressure with the spool displacement.

Originality/value

Although still based on a simplified formulation with reduced computational costs, the proposed model introduces a new nonlinear approach that, approximating with suitable precision the pressure-flow fluid dynamic characteristic of a servovalve, overcomes the shortcomings typical of such models.

Details

Aircraft Engineering and Aerospace Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1748-8842

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Book part
Publication date: 26 October 2017

Virginia M. Miori, Kathleen Campbell Garwood and Catherine Cardamone

This is the second in a series of papers focused on alcohol and substance abuse rehabilitation centers. Centers face the ongoing challenge of validating outcomes to meet…

Abstract

This is the second in a series of papers focused on alcohol and substance abuse rehabilitation centers. Centers face the ongoing challenge of validating outcomes to meet the burden of evidence for insurance companies. In the first paper, data mining was used to establish baseline patterns in treatment success rates, for the Futures: Palm Beach Rehabilitation Center, that have a direct impact on a client’s ability to receive insurance coverage for treatment programs. In this paper, we examine 2016 outcomes and report on facility efficacy, alumni progression and sobriety, and forecast treatment success rates (short and long term) in support of client insurability. Data collection has been standardized and includes admissions data, electronic medical records data, satisfaction survey data, post-discharge survey data, Centers for Disease Control (CDC) data, and demographic data. Clustering, partitioning, ANOVA, stepwise regression and stepwise Logistic regression are applied to the data to determine statistically significant drivers of treatment success.

Details

Advances in Business and Management Forecasting
Type: Book
ISBN: 978-1-78743-069-3

Keywords

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Article
Publication date: 6 February 2009

Abstract

Details

Soldering & Surface Mount Technology, vol. 21 no. 1
Type: Research Article
ISSN: 0954-0911

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Abstract

Details

Rutgers Studies in Accounting Analytics: Audit Analytics in the Financial Industry
Type: Book
ISBN: 978-1-78743-086-0

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