Search results

This paper aims to propose a dynamic and holistic framework that combines the brand portfolio audit with the brand architecture redesign.

Depicting from an extensive review on the frameworks of brand audit and brand architecture, a dynamic approach to brand portfolio audit and brand architecture strategy was developed, and later applied and tested in three B2B and B2C companies.

The paper suggests an eight-step framework to guide practitioners when auditing a specific brand portfolio and designing a revised brand architecture strategy. Additionally, a Brand Audit Scorecard was developed to enable and sustain brand portfolio audits, divided into three dimensions (brand equity, brand contribution and strategic options).

Further research should aim at testing the proposed framework in different types of companies and countries.

This paper contributes to the brand audit and brand architecture literature by proposing a holistic framework that is not static.

The purpose of this paper is to highlight important factors that influence funding decisions from the perspective of commercial lenders, and suggest commercialization of microfinance as a source of alternative development finance.

A survey of industry experts on funding decisions representative of proponents of commercial microfinance is conducted to help provide views on the most important considerations in their lending practice.

The study finds that specific critical success factors define minimum pre‐conditions for microfinance institutions considering commercial funding as an alternative source of finance. The study reveals that the three most important considerations for lending evaluation are transparency in financial reporting, sound financial management, and previous history of borrowing.

The study carried out is based on a relatively small sample and puts significant reliance on respondents' opinions.

This is probably one of few attempts to explore the possibility of a linkage between microfinance and capital markets. The paper will be of interest to microfinance institutions, commercial banks, international donors and wholesale funds with an interest in investing in the microfinance industry.

The monitoring of respirable particulate matter (PM₁₀) and of total carbon percentage (mass basis) in the atmosphere of São Carlos (SP) was performed in the period between September 1997 and January 2000. São Carlos, located in the central region of the state of São Paulo, has a population of close to 180,000 inhabitants and about 500 industrial establishments of medium to small size, mainly dealing with metallurgy, textiles, food and ceramics. The equipment used for air monitoring was a high volume sampler (GVS‐GRASEBY/GMW) equipped with a one‐stage inertial separator for a 10μm particle cut diameter. The PM₁₀ concentration was determined by gravimetry and the total carbon concentration by the Ströheim method. The results show a well defined seasonal dependence of both the PM₁₀ and of the total carbon concentration. Higher concentrations of PM₁₀ and carbon were observed in autumn and winter, which also coincided with low relative humidity and precipitation. The measured trends were compared with the PM₁₀ data from the city of São Paulo in the same period and showed similar seasonal dependence. However, in relative terms, the PM₁₀ concentration in São Carlos showed stronger seasonal dependence than in São Paulo.

With the growing demand for infrastructure and public services in recent years, PPP-UP have attracted a great deal of attention. However, while the user focuses on the payment for use and the private sector is concerned with its return on investment, the public sector pays more attention to the efficient utilization of public funds. In order to analyze the willingness of each stakeholder to join PPP-UP, an evolutionary game model involving the three parties is constructed.

An evolutionary game model is established that considers the users and the public and private sectors in user-pay public-private-partnership projects (PPP-UP). Eight scenarios of equilibriums and the game's evolutionary stable strategies are analyzed, and the corresponding stability conditions are then obtained. A situation where all three players are willing to cooperate in theory is also examined. The key influencing parameters that affect cooperation behaviors are further discussed.

First, the results illustrate that by properly adjusting the influencing factors, the cooperation status among the three parties can be changed along with certain evolutionary trends. Second, it is hard to modify unsatisfactory evolutionary stability by small changes in both the price compensation of and the construction and operation compensation. Third, it is necessary to involve the users in the decision-making process in PPP-UP and take their demands regarding benefits and payments into account.

In this paper, we focus on PPP-UP to research interactions among the public and private sectors and the users. Based on the analysis of the evolutionary game, to facilitate the successful implementation and development of a project, several conditions are needed to ensure tripartite cooperation. Several recommendations are then proposed for decision-makers in PPP-UP.

Competitive pressures force companies to seek solutions to eliminate wastes while improving product quality. Lean Six Sigma (LSS) has been considered one of the most effective approaches for business transformation. This article aims to present an empirical case study where LSS and Define, Measure–Analyze–Improve–Control (DMAIC) methodologies are applied to reduce defects in a car parts manufacturer.

The study follows the DMAIC methodology. Design of experiments and hypothesis testing were applied in a single case study.

The main defects and the main factors that cause defective parts were indicated for die-casting and machining processes. Solutions implemented reduced the defect incidence from a chronically high level to an acceptable one. The sigma level rose from 3.4 s to 4 s sustainably.

The study is limited to a single case study, without intention of generalizing the results to other types of industries.

This paper can be a useful guide of how to use DMAIC Six Sigma approach to defect reduction and can be applied in many sectors.

This study offers the knowledge on how to apply the Six Sigma DMAIC methodology, reducing the dependence on specialization courses.

This study describes in detail the process used in a structured improvement exercise including sigma-level calculation, factorial experiments and hypothesis tests – a set of techniques still poorly combined in the literature.

It is of a great significance for the health monitoring of a liquid rocket engine to build an accurate and reliable fault prediction model. The thrust of a liquid rocket engine is an important indicator for its health monitoring. By predicting the changing value of the thrust, it can be judged whether the engine will fail at a certain time. However, the thrust is affected by various factors, and it is difficult to establish an accurate mathematical model. Thus, this study uses a mixture non-parametric regression prediction model to establish the model of the thrust for the health monitoring of a liquid rocket engine.

This study analyzes the characteristics of the least squares support vector regression (LS-SVR) machine . LS-SVR is suitable to model on the small samples and high dimensional data, but the performance of LS-SVR is greatly affected by its key parameters. Thus, this study implements the advanced intelligent algorithm, the real double-chain coding target gradient quantum genetic algorithm (DCQGA), to optimize these parameters, and the regression prediction model LSSVRDCQGA is proposed. Then the proposed model is used to model the thrust of a liquid rocket engine.

The simulation results show that: the average relative error (ARE) on the test samples is 0.37% when using LS-SVR, but it is 0.3186% when using LSSVRDCQGA on the same samples.

The proposed model of LSSVRDCQGA in this study is effective to the fault prediction on the small sample and multidimensional data, and has a certain promotion.

The original contribution of this study is to establish a mixture non-parametric regression prediction model of LSSVRDCQGA and properly resolve the problem of the health monitoring of a liquid rocket engine along with modeling the thrust of the engine by using LSSVRDCQGA.

The purpose of this study is to investigate international trade determinants, paying special attention to variables related to climate change and non-tariff measures (NTMs), as they shape more and more world trade flows, with particular incidence on globalised goods, such as wine.

Based on panel data of Port wine exports to 60 countries, between 2006 and 2018, a gravity model has been estimated through Poisson pseudo-maximum likelihood. Explanatory variables include NTMs, mean temperature, temperature anomaly, gross domestic product (GDP), exchange rate, ad valorem equivalent tariffs and home bias.

The findings show that exports are inversely related to both mean temperature and temperature anomaly in importing countries. Regarding NTMs, it is found that only part of them are trade deterrent. Additionally, purchasing power in importing countries is one of the main determinants of Port wine exports.

The results show that, besides traditional economic variables, policymakers and wineries should include in their exports' decisions the impact of variables related to climate change and NTMs.

The novelty of this paper is to incorporate the impact of climatic variability of importing countries as a determinant of international trade of wine. Most former studies inspired of the gravity model consider explanatory variables such as GDP and exchange rate, and more recent ones started to consider NTMs too, however, this study may be the first paper to include the impact of climate change (quantified by mean temperature and temperature anomaly in importing countries) on exports.

This paper examines how cultural holes that exist at the intersection of institutional fields influence the exploitation of entrepreneurial opportunities. Through an exploration of physician-founded ambulatory surgery centers in the United States, we examine how the presence of cultural holes presented doctors with alternative beliefs, values, and practices to overcome the cultural constraints around entrepreneurship within the medical profession. In doing so, this study extends cultural entrepreneurship research by bringing cultural holes to the forefront, empirically showing how they facilitate entrepreneurial action and proposing other contexts where cultural holes may affect entrepreneurial actions and outcomes.

This paper presents a reference model for the process of management of quality and improvement based on a conceptual framework for managing the process of systematically deriving improvement actions from customer expectations and strategic decisions through business processes, and prioritising actions that will most contribute to achievement strategic objectives. After some introductory theoretical background to discuss the need for systematically managing quality and improvement as well as the contribution of mapping business processes, the process reference model is described to a certain extent and detailed by means of activity tree and event‐driven process chain (EPC) diagrams. Finally, some considerations are made on the benefits of using such an approach.

This paper presents an exploratory research carried out in four manufacturing companies (large to medium size) located in the central region of São Paulo State, Brazil. The research was conducted aiming at characterising the companies in regard to quality and human resource management practices. The results show that human resource management may co‐operate with the success of total quality programmes, emphasising the competitive advantages which can be created from this partnership, namely organisational learning, organisational culture management and team‐based management.