Search results

1 – 10 of 171
Article
Publication date: 14 November 2016

Maureen Brookes, Levent Altinay, Xuan Lorna Wang and Ruth Yeung

The purpose of this paper is to examine franchisees’ business start-ups from an entrepreneurial perspective, adopting a process representative of entrepreneurship to…

1091

Abstract

Purpose

The purpose of this paper is to examine franchisees’ business start-ups from an entrepreneurial perspective, adopting a process representative of entrepreneurship to examine opportunity identification and evaluation by franchisees and to analyse factors that influence this process.

Design/methodology/approach

A qualitative study was employed and data collected using semi-structured interviews with a sample of service industry franchisees in Macau.

Findings

The study identifies that social networks play a key role in opportunity identification and that franchisees’ goals influence the criteria used and information search activities undertaken while evaluating franchise opportunities.

Research limitations/implications

The study makes two contributions to franchise literature. It identifies that social networks can serve as substitutes for lack of prior knowledge in franchise opportunity identification. It also identifies the interrelated nature of franchisees’ goals based on the activities and criteria used to evaluate franchise opportunities, and the importance of relational criteria when franchisees lack prior industry knowledge. It therefore also contributes to franchise/entrepreneurship literature by identifying the interrelated nature of the factors contributing to the dynamics of franchise chain growth.

Practical implications

Franchisors should explore how to better use franchisees’ social networks and identify the longer term goals of prospective franchisees to support market penetration and franchise chain growth. Franchisees are advised to use independent information sources to evaluate franchise opportunities using goal-informed objectives and demand and relational criteria.

Originality/value

The study presents a more comprehensive understanding of franchisees’ decision-making process when joining franchise chains by identifying the activities undertaken and criteria used to identify and evaluate franchise opportunities.

Details

Journal of Service Theory and Practice, vol. 26 no. 6
Type: Research Article
ISSN: 2055-6225

Keywords

Article
Publication date: 29 July 2010

James Kirkbride, Jeremy Coid, Craig Morgan, Paul Fearon, Paola Dazzan, Min Yang, Tuhina Lloyd, Glynn Harrison, Robin Murray and Peter Jones

Genetic and environmental factors are associated with psychosis risk, but the latter present more tangible markers for prevention. We conducted a theoretical exercise to…

1479

Abstract

Genetic and environmental factors are associated with psychosis risk, but the latter present more tangible markers for prevention. We conducted a theoretical exercise to estimate the proportion of psychotic illnesses that could be prevented if we could identify and remove all factors that lead to increased incidence associated with ethnic minority status and urbanicity. Measures of impact by population density and ethnicity were estimated from incidence rate ratios [IRR] obtained from two methodologically‐similar first episode psychosis studies in four UK centres. Multilevel Poisson regression was used to estimate IRR, controlling for confounders. Population attributable risk fractions [PAR] were estimated for our study population and the population of England. We considered three outcomes; all clinically relevant ICD‐10 psychotic illnesses [F10‐39], non‐affective psychoses [F20‐29] and affective psychoses [F30‐39]. One thousand and twenty‐nine subjects, aged 18‐64, were identified over 2.4 million person‐years. Up to 22% of all psychoses in England (46.9% within our study areas) could be prevented if exposures associated with increased incidence in ethnic minority populations could be removed; this is equivalent to 66.9% within ethnic minority groups themselves. For non‐affective psychoses only, PAR for population density was large and significant (27.5%); joint PAR with ethnicity was 61.7%. Effect sizes for common socio‐environmental risk indicators for psychosis are large; inequalities were marked. This analysis demonstrates potential importance in another light: we need to move beyond current epidemiological approaches to elucidate exact socio‐environmental factors that underpin urbanicity and ethnic minority status as markers of increased risk by incorporating gene‐environment interactions that adopt a multi disciplinary perspective.

Details

Journal of Public Mental Health, vol. 9 no. 2
Type: Research Article
ISSN: 1746-5729

Keywords

Article
Publication date: 12 October 2020

Xuhui Cong, Liang Wang, Li Ma and M. Skibnewski

This study aims to explore the critical influencing factors that lead to the site selection failure of waste-to-energy (WtE) projects in China under the influence of the…

Abstract

Purpose

This study aims to explore the critical influencing factors that lead to the site selection failure of waste-to-energy (WtE) projects in China under the influence of the “Not In My Back Yard” (NIMBY) effect, which can provide references to improve the decision-making process of similar projects in the future.

Design/methodology/approach

The fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was used to propose an analytical framework for exploring the critical influencing factors affecting the site selection failure of WtE projects. The causal relationship between different influencing factors is finally determined on the basis of the opinions of 12 experts from universities, government departments, consulting units, planning and design units, construction units and WtE enterprises.

Findings

Results showed that six crucial factors resulted in the site selection failure of WtE projects from the NIMBY effect perspective: “Insufficient public participation,” “Near the place of residence,” “Nonstandard government decision-making processes,” “Low information disclosure,” “Destroys the surrounding environment,” and “Imperfect compensation scheme.”

Originality/value

Results can determine the priorities and causal relationships among the various influencing factors. The decision-making optimization suggestions can provide reference for decision- makers, thereby possibly promoting the scientific and standardization of site selection decision process.

Details

Engineering, Construction and Architectural Management, vol. 28 no. 6
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 11 May 2010

Asmiet Ramizy, Wisam J. Aziz, Z. Hassan, Khalid Omar and K. Ibrahim

The purpose of this paper is to describe how fabricate solar cell based‐on porous silicon (PS) prepared by electrochemical etching process is fabricated and the effect of…

2427

Abstract

Purpose

The purpose of this paper is to describe how fabricate solar cell based‐on porous silicon (PS) prepared by electrochemical etching process is fabricated and the effect of porosity layer on the solar cell performance is investigated.

Design/methodology/approach

The techniques used include SiO2 thermal oxidation, ZnO/TiO2 sputtering deposition and PS prepared by electrochemical etching. Surface morphology and structural properties of porous Si were characterized by using scanning electron microscopy. Photoluminescence and Raman spectroscopy measurements were also performed at room temperature. Current‐voltage measurements of the fabricated solar cell were taken under 80 mW/cm2 illumination conditions. Optical reflectance was obtained by using optical reflectometer (Filmetrics‐F20).

Findings

Pore diameter and microstructure are dependent on anodization condition such as HF: ethanol concentration, duration time, temperature, and current density. On other hand, a much more homogeneous and uniform distribution of pores is obtained when compared with other wafer prepared with different electrolyte composition.

Originality/value

PS is found to be an excellent anti‐reflection coating against incident light when it is compared with another anti‐reflection coating and exhibits good light‐trapping of a wide wavelength spectrum which produce high efficiency solar cells (11.23 per cent).

Details

Microelectronics International, vol. 27 no. 2
Type: Research Article
ISSN: 1356-5362

Keywords

Article
Publication date: 14 September 2015

James Watson and Stephanie Daley

The purpose of this paper is to determine the incidence of the use of section 135(1) of the Mental Health Act 1983 in a London borough and describe the main features of…

Abstract

Purpose

The purpose of this paper is to determine the incidence of the use of section 135(1) of the Mental Health Act 1983 in a London borough and describe the main features of the population subject to that section.

Design/methodology/approach

Uses of section 135(1), hospital stay, and demographic data were gathered from service and patient records over one year. Means, medians, modes and standard deviation were calculated for interval data. Nominal data were cross-tabulated and the chi square test applied where appropriate. Study data were compared to census and national hospital data; the significance of proportional population differences were calculated using the Z-test.

Findings

In total, 63 uses of section 135(1) were recorded. It was primarily used with people with psychotic diagnoses (79 per cent), and was used predominantly in black populations, and among people aged 40-54. People admitted to hospital after section 135(1) use who had psychosis diagnoses had median spells in hospital that were double the corresponding national median.

Research limitations/implications

Total uses of section 135(1) in the borough equated to 25 per cent of the national total for all section 135 admissions recorded in 2012/2013. Hospital statistics in England focusing on admissions alone may fail to reflect a more widespread use of this section. Further research is required to confirm and develop the findings of this small scale study.

Practical implications

The repeated use of this section is suggested as a marker for reviewing practice and resource allocation to prevent or shorten hospital admissions for people with psychosis diagnoses.

Originality/value

This paper highlights gaps in NHS data collection in England relevant to policy makers, mental health service providers, and the police service.

Details

Mental Health Review Journal, vol. 20 no. 3
Type: Research Article
ISSN: 1361-9322

Keywords

Article
Publication date: 1 June 1995

Kala Chand Seal

Demonstrates the application of spreadsheets in simulating queuingsystems with arrivals from a finite population. The problem is referredto as the machine repair problem…

975

Abstract

Demonstrates the application of spreadsheets in simulating queuing systems with arrivals from a finite population. The problem is referred to as the machine repair problem where the members of the queue are machines that are breaking down and the servers are the technicians repairing the broken machines. The total number of machines are finite and pre‐specified. The technique for the development of the simulation is illustrated with six machines. Describes the approach for developing a generalized simulation model with any number of machines.

Details

International Journal of Operations & Production Management, vol. 15 no. 6
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 13 December 2022

Kejia Chen, Jintao Chen, Lixi Yang and Xiaoqian Yang

Flights are often delayed owing to emergencies. This paper proposes a cooperative slot secondary assignment (CSSA) model based on a collaborative decision-making (CDM…

Abstract

Purpose

Flights are often delayed owing to emergencies. This paper proposes a cooperative slot secondary assignment (CSSA) model based on a collaborative decision-making (CDM) mechanism, and the operation mode of flight waves designs an improved intelligent algorithm to solve the optimal flight plan and minimize the total delay of passenger time.

Design/methodology/approach

Taking passenger delays, transfer delays and flight cancellation delays into account comprehensively, the total delay time is minimized as the objective function. The model is verified by a linear solver and compared with the first come first service (FCFS) method to prove the effectiveness of the method. An improved adaptive partheno-genetic algorithm (IAPGA) using hierarchical serial number coding was designed, combining elite and roulette strategies to find pareto solutions.

Findings

Comparing and analyzing the experimental results of various scale examples, the optimization model in this paper is greatly optimized compared to the FCFS method in terms of total delay time, and the IAPGA algorithm is better than the algorithm before in terms of solution performance and solution set quality.

Originality/value

Based on the actual situation, this paper considers the operation mode of flight waves. In addition, the flight plan solved by the model can be guaranteed in terms of feasibility and effectiveness, which can provide airlines with reasonable decision-making opinions when reassigning slot resources.

Details

International Journal of Intelligent Computing and Cybernetics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 26 September 2022

Christian Nnaemeka Egwim, Hafiz Alaka, Oluwapelumi Oluwaseun Egunjobi, Alvaro Gomes and Iosif Mporas

This study aims to compare and evaluate the application of commonly used machine learning (ML) algorithms used to develop models for assessing energy efficiency of buildings.

Abstract

Purpose

This study aims to compare and evaluate the application of commonly used machine learning (ML) algorithms used to develop models for assessing energy efficiency of buildings.

Design/methodology/approach

This study foremostly combined building energy efficiency ratings from several data sources and used them to create predictive models using a variety of ML methods. Secondly, to test the hypothesis of ensemble techniques, this study designed a hybrid stacking ensemble approach based on the best performing bagging and boosting ensemble methods generated from its predictive analytics.

Findings

Based on performance evaluation metrics scores, the extra trees model was shown to be the best predictive model. More importantly, this study demonstrated that the cumulative result of ensemble ML algorithms is usually always better in terms of predicted accuracy than a single method. Finally, it was discovered that stacking is a superior ensemble approach for analysing building energy efficiency than bagging and boosting.

Research limitations/implications

While the proposed contemporary method of analysis is assumed to be applicable in assessing energy efficiency of buildings within the sector, the unique data transformation used in this study may not, as typical of any data driven model, be transferable to the data from other regions other than the UK.

Practical implications

This study aids in the initial selection of appropriate and high-performing ML algorithms for future analysis. This study also assists building managers, residents, government agencies and other stakeholders in better understanding contributing factors and making better decisions about building energy performance. Furthermore, this study will assist the general public in proactively identifying buildings with high energy demands, potentially lowering energy costs by promoting avoidance behaviour and assisting government agencies in making informed decisions about energy tariffs when this novel model is integrated into an energy monitoring system.

Originality/value

This study fills a gap in the lack of a reason for selecting appropriate ML algorithms for assessing building energy efficiency. More importantly, this study demonstrated that the cumulative result of ensemble ML algorithms is usually always better in terms of predicted accuracy than a single method.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

Keywords

Article
Publication date: 31 January 2022

Satbir Singh, Vivek Agrawal and R.P. Mohanty

The purpose of this research paper is to study the significant enablers for a competitive supply chain and analyze the relationships among them by using multi-criteria…

Abstract

Purpose

The purpose of this research paper is to study the significant enablers for a competitive supply chain and analyze the relationships among them by using multi-criteria decision-making (MCDM) techniques. The supply chain (SC) managers will get better insights from the models of this study to design their SCs that are more competitive for competitive advantage.

Design/methodology/approach

After an extensive review of literature followed by experts' opinions, 21 significant enablers for a competitive SC (CSC) were selected for structural modeling using MCDM techniques of total interpretive structural modeling (TISM), Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC), followed by decision-making trial and evaluation laboratory (DEMATEL) approach.

Findings

Top management commitment is the most prominent causing enabler of a CSC; customer satisfaction is the topmost effect enabler; the operational performance of individual firms in the supply chain is a crucial enabler of a CSC.

Practical implications

The results and findings of this study would provide better insights to SC professionals and practitioners to comprehend the significant enablers of a CSC for designing and executing SC operations more competitively to achieve better customer satisfaction and sustainable business performance.

Originality/value

To the best of the authors’ knowledge, this is a foremost study focusing on the significant enablers of a CSC by utilizing the TISM along with MICMAC and DEMATEL methods. It is expected that this research will offer useful guidance for assessing and considering the SC enablers for achieving a CSC and facilitate new research in this area with more thrust.

Details

Journal of Advances in Management Research, vol. 19 no. 3
Type: Research Article
ISSN: 0972-7981

Keywords

1 – 10 of 171