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Article
Publication date: 2 September 2021

S. Logesh and S. Vinodh

This paper aims to focus on developing a theoretical framework for the analysis of factors influencing additive manufacturing (AM) in the health-care domain.

169

Abstract

Purpose

This paper aims to focus on developing a theoretical framework for the analysis of factors influencing additive manufacturing (AM) in the health-care domain.

Design/methodology/approach

A total of 18 factors are considered through extensive literature review and the relationship between each factor is studied using total interpretive structural modeling (TISM) and the model is logically developed. TISM model is developed using appropriate expert inputs. In addition, cross-impact matrix multiplication applied to classification (MICMAC) analysis is conducted to group the factors.

Findings

It was found that “ease of design” and “research and development” are the two most important factors with the highest driving power and dependencies. Through MICMAC analysis, the significance of factors is studied.

Practical implications

The study has been done based on inputs from academic experts and industry practitioners. The inferences from the study have practical relevance.

Originality/value

The development of a structural model for the analysis of factors influencing AM in the health-care domain is the original contribution of the authors.

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Article
Publication date: 12 October 2020

Ibrahim Said Ahmad, Azuraliza Abu Bakar, Mohd Ridzwan Yaakub and Mohammad Darwich

Sequel movies are very popular; however, there are limited studies on sequel movie revenue prediction. The purpose of this paper is to propose a sentiment analysis based model for…

563

Abstract

Purpose

Sequel movies are very popular; however, there are limited studies on sequel movie revenue prediction. The purpose of this paper is to propose a sentiment analysis based model for sequel movie revenue prediction and to propose a missing value imputation method for the sequel revenue prediction dataset.

Design/methodology/approach

A sequel of a successful movie will most likely also be successful. Therefore, we propose a supervised learning approach in which data are created from sequel movies to predict the box-office revenue of an upcoming sequel. The algorithms used in the prediction are multiple linear regression, support vector machine and multilayer perceptron neural network.

Findings

The results show that using four sequel movies in a franchise to predict the box-office revenue of a fifth sequel achieved better prediction than using three sequels, which was also better than using two sequel movies.

Research limitations/implications

The model produced will be beneficial to movie producers and other stakeholders in the movie industry in deciding the viability of producing a movie sequel.

Originality/value

Previous studies do not give priority to sequel movies in movie revenue prediction. Additionally, a new missing value imputation method was introduced. Finally, sequel movie revenue prediction dataset was prepared.

Details

Data Technologies and Applications, vol. 54 no. 5
Type: Research Article
ISSN: 2514-9288

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Article
Publication date: 6 February 2017

Yen Hsu

Using Taiwanese enterprises that produce computer and consumer electronics products as case subjects, this study aims to explore the effective product innovation strategies…

646

Abstract

Purpose

Using Taiwanese enterprises that produce computer and consumer electronics products as case subjects, this study aims to explore the effective product innovation strategies applied to cope with competition in the global market and develop a competitive advantage. The product design strategies and methods of companies that used different types of innovation strategies were then analyzed. Finally, a mapping framework for product innovation and design strategies was proposed for enterprises in the computer and consumer electronics industry in Taiwan.

Design/methodology/approach

The two stages of this study were a questionnaire survey and case studies. Stage 1: A questionnaire survey and literature review were performed to explore the innovation strategies used by companies in the Taiwanese computer and consumer electronics industry. The purpose of the literature review was to determine the definitions and content of innovation strategies. Stage 2: Design and R&D managers were interviewed to explore the practical design strategies and approaches to product design in the industry.

Findings

These four innovation strategies and ways of product design are closely related to the scale, business type and product development conditions in enterprises. Notably, different innovation strategies have different approaches to product design. Generally, product design emphasizes “new experience” in aggressive innovation enterprises, “new value” in market innovation enterprises, “new service” in technical innovation enterprises and “new positioning” in opportunity innovation enterprises. The findings of this study provide a reference for product R&D and design in enterprises.

Originality/value

In recent years, the global market of computer and consumer electronic products has been fiercely competitive. Therefore, only enterprises that can innovate, respond rapidly and maintain advantages in product design can survive in the market. Hopefully, this case study of companies in the Taiwan computer and consumer electronic industry can provide a reference for product R&D and design. The findings of this study provide a reference for product R&D and design in enterprises, especially the Chinese market.

Details

Journal of Engineering, Design and Technology, vol. 15 no. 1
Type: Research Article
ISSN: 1726-0531

Keywords

Available. Open Access. Open Access
Article
Publication date: 30 November 2023

Rafael Robina-Ramirez, Marta Ortiz-de-Urbina-Criado and Rafael Ravina-Ripoll

There has recently been much interest in analysing the creation of personalised tourism services and studying their effect on organisations. However, there still needs to be more…

1317

Abstract

Purpose

There has recently been much interest in analysing the creation of personalised tourism services and studying their effect on organisations. However, there still needs to be more work in analysing their effect on happiness and the role that emotions play in these processes. This paper aims to analyse, in the context of personalised and innovative tourism services, which factors can encourage and improve managers' happiness.

Design/methodology/approach

A model of analysis is presented with five variables: tourism managers' happiness (TMH), innovative personalised tourism services, internal factors: emotions (IFE), organisational factors (OF) and personal factors (PF). Eight hypotheses are proposed and tested with a structural equation model.

Findings

The results allow the authors to affirm that personalised technological advances applied to tourism services not only contribute to improving the happiness of hotel managers but also in generating emotions that contribute to improving their attitude towards the company.

Research limitations/implications

This scientific work has some limitations. Firstly, this study was carried out exclusively in Spain due to the relevance of this country in the international tourism sector, according to the World Tourism Organisation. The results achieved in this research should be contrasted with other studies in other territories. Secondly, the interviews and surveys were carried out at specific time intervals. It has not led to problems of significant bias in the variance of the standard method. Therefore, it is desirable to undertake longitudinal or cross-sectional studies for future research. Thirdly, it is interesting to develop theoretical models that include other psycho-directive or leadership style constructs to determine whether they holistically enhance the subjective well-being of hospitality managers. Moreover, other types of factors of a social or strategic nature can be considered, which can positively or negatively impact the analysed variables. Finally, future research can deepen the empirical analysis of the relationship between managerial competencies and digital innovation from the perspective of happiness management. These findings would contribute to a greater cognitive understanding of the implications of personalised and innovative tourism services on hotel establishments' happiness and economic benefits.

Practical implications

This paper shows the fundamental role of a happy leadership style in creating responsible, green and innovative environments in today's digital society. Furthermore, the happiness of tourism managers can contribute to the generation of high quality and excellent services that are in line with the principles of sustainable development.

Social implications

Personalised technological advances applied to tourism services not only contribute to improving the happiness of hotel managers but also to generating emotions that contribute to improving their attitude towards the company. On the other hand, it has been observed that personalised and innovative tourism services generate positive effects at organisational, internal and personal levels. The following reflections are advanced: The development of internal factors such as the emotions of awe and gratitude or the generation of trust can enhance the happiness of tourism managers. The happiness of tourism business managers can be enhanced by developing OF such as smart-personalised tourism services and data protection. The happiness of tourism managers can be enhanced by the development of PF such as travellers' desires, expectations and needs, or other factors such as disposable income, health status or family situation.

Originality/value

This is the first empirical study that focuses on investigating how personalised and innovative tourism services affect managing happiness.

Details

European Journal of Innovation Management, vol. 26 no. 7
Type: Research Article
ISSN: 1460-1060

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Article
Publication date: 25 February 2014

P. Rajiv, R. Logesh, Sekar Vinodh and D. Rajanayagam

– The purpose of this paper is to report a case study in which financial feasibility integrated quality function deployment (QFD) approach was implemented.

570

Abstract

Purpose

The purpose of this paper is to report a case study in which financial feasibility integrated quality function deployment (QFD) approach was implemented.

Design/methodology/approach

Customer complaints were systematically gathered. The house of quality (HoQ) matrix was developed. The technical descriptors were prioritized and subjected to the financial feasibility study. The cost calculations were carried out and the actions were derived. A set of value engineering (VE) principles was used during this case study.

Findings

The study reported in this paper indicated the need for integrating financial feasibility study with QFD for enhancing the effectiveness of the method. The measures taken to prevent the customer complaints will be of considerable value to the manufacturing organizations.

Research limitations/implications

During the conduct of case study, high-cost factors restricted the selection of materials which would exhibit higher performance. The case study was carried out in a single electronic switches manufacturing organization.

Practical implications

The manufacturing costs incurred have been reduced by incorporating changes in the part material. The outcomes of the study have been considered for further implementation in the case organisation which indicated the practicality of the study.

Originality/value

The concept of apportionment of HoQ cost developed with the idea of integrating the same with QFD is the original contribution of the authors.

Details

Journal of Engineering, Design and Technology, vol. 12 no. 1
Type: Research Article
ISSN: 1726-0531

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Article
Publication date: 6 February 2024

Tinotenda Machingura, Olufemi Adetunji and Catherine Maware

Buoyed by the increasing demand for improved productivity and environmentally conscious manufacturing, research in the area of lean production and green manufacturing has…

308

Abstract

Purpose

Buoyed by the increasing demand for improved productivity and environmentally conscious manufacturing, research in the area of lean production and green manufacturing has experienced significant growth since Dües et al. (2013). Taking the latter as the point of reference, a review of recent developments in the complementary and conflicting areas between lean production and green manufacturing that has been missing is presented.

Design/methodology/approach

A systematic search was done to identify articles on lean production and green manufacturing from Scopus, Web of Science and Google Scholar. The population-intervention-outcome format was used to develop and answer the research questions. ATLAS.ti 22 was used to analyse 141 qualifying papers and identify the research themes.

Findings

Lean production and green manufacturing have strong synergy, and when integrated, they tend to deliver superior organisational performance than their individual implementations. This is consistent with the pre-2013 results, and other areas of synergy and divergence were also identified.

Research limitations/implications

The study considers only papers published in the manufacturing sector after Dües et al. (2013). A review of lean production and green manufacturing in integrated product-service systems may also be relevant, especially due to the continuing trend since its introduction.

Practical implications

Any new adopter of lean production should consider implementing it simultaneously with green manufacturing.

Originality/value

This study establishes the persistence of the pre-2013 patterns of synergy and divergence between lean production and green manufacturing, and identifies new considerations for their joint implementation.

Details

Journal of Manufacturing Technology Management, vol. 35 no. 4
Type: Research Article
ISSN: 1741-038X

Keywords

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Article
Publication date: 12 April 2024

Mandeep Singh, Deepak Bhandari and Khushdeep Goyal

The purpose of this paper is to examine the mechanical characteristics and optimization of wear parameters of hybrid (TiO2 + Y2O3) nanoparticles with Al matrix using squeeze…

25

Abstract

Purpose

The purpose of this paper is to examine the mechanical characteristics and optimization of wear parameters of hybrid (TiO2 + Y2O3) nanoparticles with Al matrix using squeeze casting technique.

Design/methodology/approach

The hybrid aluminium matrix nanocomposites (HAMNCs) were fabricated with varying concentrations of titanium oxide (TiO2) and yttrium oxide (Y2O3), from 2.5 to 10 Wt.% in 2.5 Wt.% increments. Dry sliding wear test variables were optimized using the Taguchi method.

Findings

The introduction of hybrid nanoparticles in the aluminium (Al) matrix was evenly distributed in contrast to the base matrix. HAMNC6 (5 Wt.% TiO2 + 5 Wt.% Y2O3) reported the maximum enhancement in mechanical properties (tensile strength, flexural strength, impact strength and density) and decrease in porosity% and elongation% among other HAMNCs. The results showed that the optimal combination of parameters to achieve the lowest wear rate was A3B3C1, or 15 N load, 1.5 m/s sliding velocity and 200 m sliding distance. The sliding distance showed the greatest effect on the dry sliding wear rate of HAMNC6 followed by applied load and sliding velocity. The fractured surfaces of the tensile sample showed traces of cracking as well as substantial craters with fine dimples and the wear worn surfaces were caused by abrasion, cracks and delamination of HAMNC6.

Originality/value

Squeeze-cast Al-reinforced hybrid (TiO2+Y2O3) nanoparticles have been investigated for their impact on mechanical properties and optimization of wear parameters.

Details

World Journal of Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1708-5284

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Article
Publication date: 4 June 2020

Dimitra Samara, Ioannis Magnisalis and Vassilios Peristeras

This paper aims to research, identify and discuss the benefits and overall role of big data and artificial intelligence (BDAI) in the tourism sector, as this is depicted in recent…

5362

Abstract

Purpose

This paper aims to research, identify and discuss the benefits and overall role of big data and artificial intelligence (BDAI) in the tourism sector, as this is depicted in recent literature.

Design/methodology/approach

A systematic literature review was conducted under the McKinsey’s Global Institute (Talwar and Koury, 2017) methodological perspective that identifies the four ways (i.e. project, produce, promote and provide) in which BDAI creates value. The authors enhanced this analysis methodology by depicting relevant challenges as well.

Findings

The findings imply that BDAI create value for the tourism sector through appropriately identified disseminations. The benefits of adopting BDAI strategies include increased efficiency, productivity and profitability for tourism suppliers combined with an extremely rich and personalized experience for travellers. The authors conclude that challenges can be bypassed by adopting a BDAI strategy. Such an adoption will stand critical for the competitiveness and resilience of existing established and new players in the tourism sector.

Originality/value

Besides identifying the benefits that BDAI brings in the tourism sector, the research proposes a guidebook to overcome challenges when introducing such new technologies. The exploration of the BDAI literature brings important implication for managers, academicians and consumers. This is the first systematic review in an area and contributes to the broader e-commerce marketing, retailing and e-tourism research.

研究目的

本论文旨在研究、指出、和讨论大数据和人工智能(BDAI)在旅游业中的优势和整体作用。这些方面也在近文献中有所提到。

研究设计/方法/途径

本论文采用系统综述方式, 在McKinsey’s Global Institute方法论的指导下, 确认BDAI可以在四种方面(预测、产出、提高、以及提供)创造价值。我们也通过阐述相关挑战来增强这个分析方法。

研究结果

本论文结果显示BDAI通过适当的传播方式来为旅游业中创造价值。采用BDAI战略的好处包括:对旅游提供商带来高效、多产、盈利, 以及对旅游者们带来极度丰富和个性化的旅游体验。我们还总结了采取BDAI战略带来的诸多挑战。采用BDAI战略对旅游业中现有和新参与者的竞争力和弹性起到至关重要的作用。

研究原创性/价值

除了指出了旅游业中BDAI带来的优势, 本论文还提出了一个指南, 来指导当新科技被引进时如何克服挑战。本论文通过对BDAI文献的梳理, 其文献综述结果对经理、学者、和消费者都有重要的启示作用。本论文是首篇在BDAI领域的系统综述, 对拓展电子商务营销、零售、和电子旅游科研有着重大贡献。

Details

Journal of Hospitality and Tourism Technology, vol. 11 no. 2
Type: Research Article
ISSN: 1757-9880

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Article
Publication date: 3 December 2021

Jagbir Singh, Mukul Kataria, Vishesh Kumar, Chandrashekhar Jawalkar and Rajendra Madhukar Belokar

The purpose of the study is to fabricate a joint between two aluminium metal matrix composites using microwave hybrid heating (MHH).

121

Abstract

Purpose

The purpose of the study is to fabricate a joint between two aluminium metal matrix composites using microwave hybrid heating (MHH).

Design/methodology/approach

Taguchi design of experiments was applied to conduct the experimental study. The mechanical properties such as ultimate tensile strength, micro-hardness and porosity were studied. Grey Relational Analysis was applied to understand the significance of fabrication parameters of best performing sample. The dominant factor of fabrication was analysed using ANOVA. The best performance sample was further characterised using X-ray diffraction and field emission scanning electron microscopy. Energy dispersive X-ray was used to analyse the elemental composition of the sample.

Findings

The Aluminium Metal Matrix Composite (AMMC) joint was successfully fabricated using MHH. The mechanical properties were mainly influenced by the fabrication factor of exposure time.

Originality/value

The formation of AMMC joint using MHH might explore the way for the industries in the field of joining.

Details

World Journal of Engineering, vol. 20 no. 3
Type: Research Article
ISSN: 1708-5284

Keywords

Available. Open Access. Open Access
Article
Publication date: 23 June 2023

Tinotenda Machingura, Olufemi Adetunji and Catherine Maware

This research aims to examine the complementary impact of Lean Manufacturing (LM) and Green Manufacturing (GM) on operational and environmental performance.

2353

Abstract

Purpose

This research aims to examine the complementary impact of Lean Manufacturing (LM) and Green Manufacturing (GM) on operational and environmental performance.

Design/methodology/approach

A survey was conducted in the Zimbabwean manufacturing industry. A total of 302 valid responses were obtained and analysed using partial least square structural equation modelling (PLS-SEM).

Findings

Both LM and GM impact environmental and operational performance; however, GM's effect on operational performance is indirect through environmental performance.

Research limitations/implications

This study only focusses on the Zimbabwean manufacturing industry, and the results may not readily apply to other developing countries.

Practical implications

The companies that have successfully implemented LM are able to implement GM more easily because of their complementary nature.

Social implications

The integration of LM and GM reduces most forms of waste, causing an improved environmental and operational performance. In addition, this will improve community relations and customer satisfaction.

Originality/value

This research investigates the complementary nature of LM and GM on how LM and GM impact organisational performance and whether a combined Lean-Green implementation leads to better organisational performance than when LM and GM are implemented individually. The research also examines whether being environmentally compliant leads to improved organisational performance, particularly in a developing country.

Details

International Journal of Quality & Reliability Management, vol. 41 no. 2
Type: Research Article
ISSN: 0265-671X

Keywords

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