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Article
Publication date: 15 November 2021

Amit Kaushik, Mohammed Arif, Obas John Ebohon, Hord Arsalan, Muhammad Qasim Rana and Lovelin Obi

The Purpose of this paper is to identify statistical relationships between visual environment and occupant productivity. Visual environment is one of the most important…

Abstract

Purpose

The Purpose of this paper is to identify statistical relationships between visual environment and occupant productivity. Visual environment is one of the most important indoor environmental quality (IEQ) parameters, and it directly impacts occupant productivity in offices. The literature outlines the significance of the impact. Still, there is a lack of investigation, statistical analysis and inter-relationships between the independent variables (IEQ factors), especially in the hot and arid climate.

Design/methodology/approach

This study presents a research study investigating the effects and shows statistical relationships between IEQ on occupant comfort and productivity. The study was conducted in the Middle East, and data was collected for 12 months. It used the response surface analysis to perform analysis.

Findings

This study outlined seven unique relationships highlighting the recommended range, inter-dependencies. Results include that illumination has maximum effect on visual comfort and temperature, daylight having direct influence and relative humidity, wall type next to the seat and kind of workspace also impact visual comfort and productivity. These findings would help to improve occupant comfort and productivity in office buildings. It is recommended to include results and recommendations on design guidelines for office buildings.

Originality/value

This study presents the unique effects of non-visual IEQ parameters on visual comfort and productivity. This investigation also provides a unique method to develop the statistical relationship between various indoor environmental factors and productivity in different contexts and buildings.

Details

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

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Article
Publication date: 18 July 2018

Hamdan Alzahrani, Mohammed Arif, Amit Kaushik, Jack Goulding and David Heesom

The impact of thermal comfort in educational buildings continues to be of major importance in both the design and construction phases. Given this, it is also equally…

Abstract

Purpose

The impact of thermal comfort in educational buildings continues to be of major importance in both the design and construction phases. Given this, it is also equally important to understand and appreciate the impact of design decisions on post-occupancy performance, particularly on staff and students. This study aims to present the effect of IEQ on teachers’ performance. This study would provide thermal environment requirements to BIM-led school refurbishment projects.

Design/methodology/approach

This paper presents a detailed investigation into the direct impact of thermal parameters (temperature, relative humidity and ventilation rates) on teacher performance. In doing so, the research methodological approach combines explicit mixed-methods using questionnaire surveys and physical measurements of thermal parameters to identify correlation and inference. This was conducted through a single case study using a technical college based in Saudi Arabia.

Findings

Findings from this work were used to develop a model using an artificial neural network (ANN) to establish causal relationships. Research findings indicate an optimal temperature range between 23 and 25°C, with a 65% relative humidity and 0.4 m/s ventilation rate. This ratio delivered optimum results for both comfort and performance.

Originality/value

This paper presents a unique investigation into the effect of thermal comfort on teacher performance in Saudi Arabia using ANN to conduct data analysis that produced indoor environmental quality optimal temperature and relative humidity range.

Details

International Journal of Building Pathology and Adaptation, vol. 39 no. 1
Type: Research Article
ISSN: 2398-4708

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Article
Publication date: 27 March 2020

Deepthi Bendi, Muhammad Qasim Rana, Mohammed Arif, Jack Steven Goulding and Amit Kant Kaushik

This paper presents a bespoke model for understanding off-site construction (OSC) readiness among Indian construction organisations. This model presents 17 variables for…

Abstract

Purpose

This paper presents a bespoke model for understanding off-site construction (OSC) readiness among Indian construction organisations. This model presents 17 variables for discussion, the results from which help support OSC strategic decision-making.

Design/methodology/approach

Factor analysis was used to investigate the relationship between variables to group them into factors. After identifying 26 different variables, these were reduced to 17 using factor analysis and categorised into four groups. Descriptive statistical analysis and factor analysis using SPSS was used to develop a hierarchy of factors that affect OSC readiness in India. These findings were reinforced by five domain experts to support the results.

Findings

Minimising on-site duration, ensuring cost and time certainty and transportation issues were identified as the three most important factors, whereas lack of guidance and scepticism were among the lowest factors affecting the Indian OSC sector.

Research limitations/implications

This research is specifically focused on OSC within the Indian construction sector. As such, data collection, propagation and analysis should be constrained to the population context regarding inference, generalisability and repeatability.

Practical implications

The proffered OSC readiness model offers OSC practitioners an ability to assess the OSC readiness of construction organisations in India. This includes the evaluation and benchmarking of processes in both strategic and operational phases, including highlighting areas of concern and scope for further development (to achieve optimal advantage of OSC methods).

Originality/value

Originality rests with the use of factor analysis and descriptive statistical analysis to study the influence of different construction-related factors and variables on the OSC sector in India. This impact readiness model is context-specific to the Indian OSC sector – providing a unique insight into the causal factors and dependencies that can affect the adoption and uptake of modern methods of construction in India.

Details

Construction Innovation , vol. 21 no. 1
Type: Research Article
ISSN: 1471-4175

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Article
Publication date: 9 July 2021

Deepthi Bendi, Muhammad Qasim Rana, Mohammed Arif, Steve Michael Lamb, Anil Sawhney and Amit Kant Kaushik

This paper aims to present factors affecting the Indian construction organisations in adopting off-site construction (OSC) methods.

Abstract

Purpose

This paper aims to present factors affecting the Indian construction organisations in adopting off-site construction (OSC) methods.

Design/methodology/approach

An existing readiness maturity model has been used to assess three large organisations in different parts of India. A case study methodology has been adopted in this paper to highlight critical issues in OSC adoption in India.

Findings

This paper presents three case studies and concludes the Indian construction sectors readiness to adopt the OSC methods. Through the case studies, different issues related to the adoption of OSC have been identified and highlighted for the Indian construction sector. Although the three companies are large, there are several small- and medium-sized enterprises (SME) operating in India's construction sector, and future research shall be needed to review these SMEs.

Research limitations/implications

This research study is broadly focused on developing and assessing an OSC readiness framework for Indian construction organisations. The research scope and the population for data collection are limited to large construction organisations in India only.

Practical implications

The proposed OSC readiness maturity model guides construction practitioners in India through a structured process to assess their OSC readiness in the market. This assessment enables them to evaluate and benchmark their processes through the strategic and operational phases. This research will add to the existing knowledge of OSC in India by mapping issues relevant to India's construction industry. The research has provided background on the status of OSC, the drivers and barriers affecting the implementation of OSC techniques in the Indian construction industry.

Originality/value

Through the three case studies, several factors related to the implementation of OSC methods have been identified and highlighted within the Indian construction sector. Although the model has been applied to the Indian construction sector, it can easily be modified to fit into other areas and similar dynamics and business conditions.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

Content available
Case study
Publication date: 28 June 2013

Rik Paul and Debapratim Purkayastha

Marketing management, services marketing, customer relationship management and strategic marketing management.

Abstract

Subject area

Marketing management, services marketing, customer relationship management and strategic marketing management.

Study level/applicability

This case can be taught effectively to MBA/MS students.

Case overview

Hyundai Motor India Ltd (HMIL) commenced operations in India in 1996 and launched its first car in India – the Hyundai Santro – in 1998. Since then, there has been no looking back for the company. Its domestic and export sales figures have risen manifold each year and the car maker has gone on to become the second largest manufacturer in the Indian car market with a market share of 18.10 percent as of 2010-2011. By 2009-2010, most of the major international car makers were setting up production facilities in India. The market was set to become highly competitive and it became imperative for manufacturers like Maruti Suzuki India Ltd (MSIL) and HMIL to retain their customers in order to maintain their market share. Nalin Kapoor, General Manager (Sales & Marketing) was contemplating the marketing strategies he could use to counter the stiff competition. Customer retention was one of the major problems in the automobile industry as the purchase time span varied between three and five years and the cost of brand switching was nil. HMIL had been pursuing customer relationship management activities but its customer retention ratio was declining. Kapoor and his team decided to study the loyalty programs of some companies in the automobile industry to ascertain whether launching a loyalty card could solve their problem of retention. The marketing strategy department with the help of a management intern extensively studied the existing loyalty program of Hero Honda, MSIL, and Ford to identify how those programs were designed and promoted to the customer. The reports also indicated the shortcomings of each program and the features which were highly accepted by the customer. The loyalty program also had cost implications as there was a need for a strong technical support team to run it successfully. With the reports in hand, Kapoor was in a dilemma on whether launching a loyalty card would be feasible or not. If yes, then how should it be structured to motivate the customers to stay loyal to the company? Also, how could the cost in terms of promotion, training, and technical support be justified? If not a loyalty program, then what marketing strategies should the company pursue to retain customers effectively? The problem demanded immediate attention and action and Kapoor was well aware of the implications that a delay in decision making would have for the market share of the company in the growing and dynamic automobile industry in India.

Expected learning outcomes

These include: the concept of customer relationship management; relationship marketing; customer retention; customer loyalty; customer profitability segments; relationship bonds; and designing loyalty programs.

Supplementary materials

Teaching notes are available for educators only. Please contact your library to gain login details or email: support@emeraldinsight.com to request teaching notes.

Details

Emerald Emerging Markets Case Studies, vol. 3 no. 3
Type: Case Study
ISSN: 2045-0621

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Article
Publication date: 28 January 2020

David Oloke

Abstract

Details

International Journal of Building Pathology and Adaptation, vol. 39 no. 1
Type: Research Article
ISSN: 2398-4708

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Article
Publication date: 10 May 2019

Kumar Kaushik Ranjan, Sandeep Kumar, Amit Tyagi and Ambuj Sharma

The real challenge in the solution of contact problems is the lack of an optimal adaptive scheme. As the contact zone is a priori unknown, successive refinement and…

Abstract

Purpose

The real challenge in the solution of contact problems is the lack of an optimal adaptive scheme. As the contact zone is a priori unknown, successive refinement and iterative method are necessary to obtain a high-accuracy solution. The purpose of this paper is to provide an optimal adaptive scheme based on second-generation finite element wavelets for the solution of non-linear variational inequality of the contact problem.

Design/methodology/approach

To generate an elementary multi-resolution mesh, the authors used hierarchical bases (HB) composed of Lagrange finite element interpolation functions. These HB functions are customized using second-generation wavelet techniques for a fast convergence rate. At each step of the algorithm, the active set method along with mesh adaptation is used for solving the constrained minimization problem of contact case. Wavelet coefficients-based error indicators are used, and computation is focused on mesh zones with a high error indication. The authors take advantage of the wavelet transform to develop a parameter-free adaptive scheme to generate an appropriate and optimal mesh.

Findings

Adaptive wavelet Galerkin scheme (AWGS), a newly developed method for multi-scale mesh adaptivity in this work, is a combination of the second-generation wavelet transform and finite element method and significantly improves the accuracy of the results without approximating an additional problem of error estimation equations. A comparative study is performed taking a solution on a highly refined mesh and results are generated using AWGS.

Practical implications

The proposed adaptive technique can be utilized in the simulation of mechanical and biomechanical structures where multiple bodies come into contact with each other. The algorithm of the method is easy to implement and found to be successful in producing a sufficiently accurate solution with relatively less number of mesh nodes.

Originality/value

Although many error estimation techniques have been developed over the past several years to solve contact problems adaptively, because of boundary non-linearity development, a reliable error estimator needs further investigation. The present study attempts to resolve this problem without having to recompute the entire solution on a new mesh.

Details

Engineering Computations, vol. 36 no. 4
Type: Research Article
ISSN: 0264-4401

Keywords

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Article
Publication date: 16 March 2021

Dunhai Wang and Amit Sharma

Humanoid robot has similar shape and action characteristics as humans, and it can complete some basic tasks instead of humans without changing the human environment, which…

Abstract

Purpose

Humanoid robot has similar shape and action characteristics as humans, and it can complete some basic tasks instead of humans without changing the human environment, which makes humanoid robot become the best structure and help form for robot to provide services for human beings.

Design/methodology/approach

The mobile operation control of humanoid robot is generated by the walking movement of humanoid robot's feet, and the robot's hand and arm complete grasping and other operations together.

Findings

On the basis of humanoid robot, the integrated system of software and hardware based on the KM34Z256 humanoid robot is described first, and a series of kinematics discussion on its mobile operation is carried out.

Originality/value

The research based on this project shows that the target recognition and positioning method is not only accurate and of high energy but also can realize the mobile operation of humanoid robot.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 14 no. 2
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 16 August 2021

Kasun Gomis, Mandeep Saini, Chaminda Pathirage and Mohammed Arif

This study aims to assess “learning opportunities” provided to undergraduate students, from level three to six, in higher education (HE). A knowledge gap was identified…

Abstract

Purpose

This study aims to assess “learning opportunities” provided to undergraduate students, from level three to six, in higher education (HE). A knowledge gap was identified within the current practice relating to learning opportunities for built environment (BE) students in HE. The study focussed on the themes under section two of the national student survey (NSS): how students explore ideas or concepts in-depth, bring information and ideas together from different topics and apply the learned content in a real-life context. The study aimed to provide recommendations for enhancing “learning opportunities” to the BE students within HE.

Design/methodology/approach

Data collection focussed on section two of NSS “learning opportunities” and documentary analysis, and a qualitative survey were adopted for this study. A documental analysis of 334 mid-module reviews was carried out. The qualitative data was collected from level three to level six students and academics from architecture, construction management, civil engineering and quantity surveying disciplines representing BE context. A sample of 40 students and 15 academics, including a Head of school, a Principal lecturer, Subject leads and lecturers, participated in interviews as part of a qualitative survey. In total, 12 drivers were developed using the data obtained through literature, documental analysis and interviews. These drivers were analysed using manual content analysis to identify their influence on the specified themes under NSS section two and circulated amongst academics to be ranked by identifying its influence to promote learning opportunities to BE students in HE.

Findings

This study highlighted 12 drivers which promote learning opportunities in HE within BE curriculum. Findings established that topics should be explained with more real-life or industry-orientated concepts such as simplification integrated into module delivery. Contrary to the literature, the use of physical materials (i.e. handouts and whiteboard) in addition to a virtual learning environment for detailed explanations were considered effective in exploring concepts. During the current COVID-19 pandemic, context-based learning needs to be promoted by integrating videos of practical implementation for better understanding. The study recognised that lab, fieldwork and tutorials were essential to apply what students have learned in BE curricula to a real-life context.

Originality/value

This study identified current learning approaches and provided recommendations to improve the BE students learning experience in HE. They identified 12 drivers that would significantly help academics and academic institutions to understand how learning opportunities should be facilitated in the BE curriculum to enhance student performances in HE.

Details

Quality Assurance in Education, vol. 29 no. 2/3
Type: Research Article
ISSN: 0968-4883

Keywords

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Article
Publication date: 13 July 2015

Kaushik Roy and Amit Karna

The purpose of this paper is to investigate the capabilities of social entrepreneurship (SE) firms and how they achieve competitive advantage while engaging in social…

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Abstract

Purpose

The purpose of this paper is to investigate the capabilities of social entrepreneurship (SE) firms and how they achieve competitive advantage while engaging in social value creation. The authors employ a business model perspective to understand the (self-) sustaining mechanism for social good.

Design/methodology/approach

The authors carry out an in-depth investigation of three SE ventures. The authors analyse the history of these ventures to determine how they achieved competitive advantage. The cases are analysed based on the internal development in the context of environmental support.

Findings

The authors find that SE ventures, like all other organisations, achieve competitive advantage based on available resources such as reputation and network of the founder, managerial experience and other corporate resources within the firm. The authors also find that the competitive advantage often comes from innovate usage – a practice that is reinforced by the support from institutional environment.

Research limitations/implications

Due to the case study approach, the research is aimed at theoretical development within the social business literature. The approach makes it difficult for the findings to be universally generalisable. The authors therefore envisage future researchers to test the theoretical propositions.

Practical implications

Based on the analysis, the authors conclude that distinct capabilities of social businesses help them achieve competitive advantage, and that policy makers should institutionally support these ventures. The findings stress the importance of resources in sustainability and effectiveness of emerging market SE.

Originality/value

The application of a business model perspective in SE is unique, and advances the understanding of social businesses from a strategic management perspective.

Details

Management Decision, vol. 53 no. 6
Type: Research Article
ISSN: 0025-1747

Keywords

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