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Article
Publication date: 20 May 2021

Muhammad Usman Tariq, Muhammad Babar, Marc Poulin and Akmal Saeed Khattak

The purpose of the proposed model is to assist the e-business to predict the churned users using machine learning. This paper aims to monitor the customer behavior and to…

Abstract

Purpose

The purpose of the proposed model is to assist the e-business to predict the churned users using machine learning. This paper aims to monitor the customer behavior and to perform decision-making accordingly.

Design/methodology/approach

The proposed model uses the 2-D convolutional neural network (CNN; a technique of deep learning). The proposed model is a layered architecture that comprises two different phases that are data load and preprocessing layer and 2-D CNN layer. In addition, the Apache Spark parallel and distributed framework is used to process the data in a parallel environment. Training data is captured from Kaggle by using Telco Customer Churn.

Findings

The proposed model is accurate and has an accuracy score of 0.963 out of 1. In addition, the training and validation loss is extremely less, which is 0.004. The confusion matric results show the true-positive values are 95% and the true-negative values are 94%. However, the false-negative is only 5% and the false-positive is only 6%, which is effective.

Originality/value

This paper highlights an inclusive description of preprocessing required for the CNN model. The data set is addressed more carefully for the successful customer churn prediction.

Details

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

Keywords

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Article
Publication date: 12 December 2018

Muhammad Babar Ramzan, Abher Rasheed, Zulfiqar Ali, Sheraz Ahmad, Muhammad Salman Naeem and Ali Afzal

In the field of knitwear, dimensional stability is assumed as a critical problem that affects the quality and salability of a product. Although much work has been done in…

Abstract

Purpose

In the field of knitwear, dimensional stability is assumed as a critical problem that affects the quality and salability of a product. Although much work has been done in this area with a focus on the factors affecting fabric shrinkage, however, there is a lack of work on knitwears with respect to their dimensional stability. The purpose of this paper is to investigate the impact of stitching parameters and wash types on the dimensional properties of knitwear.

Design/methodology/approach

The crew-neck t-shirts were prepared by using pique knitted fabrics. Different sewing and finishing parameters were used that include stitch density, stitch type, stitching thread and wash type. The critical measurements of the selected garment are taken as output variables which are body width, sleeve length, body length and across shoulder. After laundering process, shrinkage percentage was calculated by using before-wash and after-wash measurements.

Findings

This study shows that the stitching parameters affect significantly on knitwear’s shrinkage. Thus, when patterns are being developed for the cutting of fabric, expected shrinkage, known as residual shrinkage, must be considered to avoid unexpected changes in garment shape.

Originality/value

This research will be useful for knitwear manufacturing industry.

Details

International Journal of Clothing Science and Technology, vol. 31 no. 2
Type: Research Article
ISSN: 0955-6222

Keywords

Content available
Article
Publication date: 23 June 2021

Yousaf Ali, Khaqan Zeb, Abdul Haseeb Khan Babar and Muhammad Asees Awan

The purpose of this research is to identify major barriers to the implementation of reverse logistics (RL). Also, the study addresses best practices among reuse…

Abstract

Purpose

The purpose of this research is to identify major barriers to the implementation of reverse logistics (RL). Also, the study addresses best practices among reuse, remanufacture, recycling, refurbishment and repair as alternatives for RL processes.

Design/methodology/approach

This study targets supply chain management experts for their opinions regarding the identification of critical barriers and alternatives for RL implementation. Their opinions were extracted through a Web questionnaire based on 14 criteria with 5 alternatives. The tools of multi-criteria decision-making are used for analysis, i.e. fuzzy VIKOR and fuzzy TOPSIS.

Findings

The results indicate that lack of recognition of competitive advantage to be gained through RL practice is the most critical barrier to RL implementation. The least barrier or major facilitator for RL is “supportive initiative for end-of-life products.” The top-ranked alternative in this study is reuse followed by remanufacturing. The least important alternative is “repair” in the case of Pakistan. These alternatives are ranked based on “q values” derived through fuzzy VIKOR.

Research limitations/implications

The results of this study can only be generalized for the manufacturing sector of Pakistan during the period of the study.

Practical implications

The findings of this study will assist managers in deploying the best practices concerning RL.

Originality/value

Fuzzy VIKOR and fuzzy TOPSIS have not been applied to RL alternatives in previous research.

Details

Journal of Defense Analytics and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2399-6439

Keywords

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Case study
Publication date: 13 March 2020

Muhammad Muzamil Sattar, Asad Ali Qazi, Farhan Shahzad and Abdul Rehman Shaikh

The learning outcomes are as follows: what tasks are to be done by medical representatives in pharmaceutical industry? This study also highlights various competencies…

Abstract

Learning outcomes

The learning outcomes are as follows: what tasks are to be done by medical representatives in pharmaceutical industry? This study also highlights various competencies required to do effective selling in this industry; analyzes and discusses different unethical practices going on in the market; explains why ethical norms are necessary in sales context when sales targets are already achievable with unethical means; and develops and comments on strategies Flori Pharmaceutical can make to overcome on these unethical issues. What should be the response of Dahar to the email of Naveed khan? What course of action should be taken by Dahar in the deceitful reporting case of Mohsin Ali?

Case overview/synopsis

Flori is considered a leading and growing multinational organization in the highly competitive environment of Pakistan pharmaceutical industry with over 40 years of experience. The company aims to command a leading position in developing new health-care products as it offers a wide range of diabetic, cardiovascular, respiratory and vitamin products based on quality as a result of high research and examination. Recently, an email to Bilal Dahar on March 2017 from Flori’s star sales person Naveed Khan has forced management to take some strong decisions regarding ethical norms and values to be adopted by medical representatives of Flori pharmaceuticals. The email highlighted the issues related to sales pressure which are leading toward unethical sales practices. Dahar just not have to maintain Flori’s ethical code of conduct but he and his team also has to work hard to achieve more than 26% growth rate in sales revenue as compared to last year. Dahar knew that the highly competitive environment of pharmaceutical industry has led most of the stake holders to indulge in unethical behavior to achieve their individual targets. He knew that this is dangerous in long term for the multinational organizations such as Flori pharmaceuticals as if the similar behavior continues, the sales culture and values of the organization would be on stake. He also has to decide what decision to be taken against deceitful reporting issue of one of the top-performer territory managers, who was key person in helping Flori to close the sales year 2016 with the revenue of Rs. 6.4bn, a 26% growth over the last year. The case is rich enough to provide a platform regarding management of several ethical challenges in pharmaceutical selling and developing strategies based on them.

Complexity academic level

BBA, MBA final year.

Supplementary materials

Teaching Notes are available for educators only.

Subject code

CSS 8: Marketing.

Details

Emerald Emerging Markets Case Studies, vol. 10 no. 1
Type: Case Study
ISSN: 2045-0621

Keywords

Content available
Article
Publication date: 2 November 2020

Zoya Wajid Satti, Samreen Fahim Babar, Shagufta Parveen, Kashif Abrar and Asma Shabbir

This study aims to investigate the role of moderated mediation between innovation in service quality and customer loyalty in the hospitality industry for potential…

Abstract

Purpose

This study aims to investigate the role of moderated mediation between innovation in service quality and customer loyalty in the hospitality industry for potential entrepreneurs in the hospitality industry.

Design/methodology/approach

The authors have collected data from customers of the hospitality industry of significant cities of Pakistan using 362 structured questionnaires. Structural equation modelling was used to find out moderated mediation between innovation in service quality and customer loyalty in the hospitality industry for potential entrepreneurs in the hospitality industry.

Findings

The results showed that the role of customer satisfaction as a mediator and the role of perceived price fairness as a moderator between service quality and customer loyalty is statistically significant. Customers are influenced by price, and it leads to their satisfaction in the hospitality industry.

Research limitations/implications

The results of this study can be used by managers of the restaurant industry to enhance customer loyalty by focusing on customer satisfaction and perceived price.

Originality/value

The evidence documented in this paper is first known to measure the role of a mediator and moderator between service quality and customer loyalty for potential entrepreneurs. This paper will add to the literature of service quality in the hospitality industry concerning the role of customer satisfaction and perceived price fairness for future and potential entrepreneurs.

Details

Asia Pacific Journal of Innovation and Entrepreneurship, vol. 14 no. 3
Type: Research Article
ISSN: 2071-1395

Keywords

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Article
Publication date: 25 March 2021

Hafiz Zahoor, Rashid Mehmood Khan, Ahsan Nawaz, Muhammad Ayaz and Ahsen Maqsoom

Earned Value Management (EVM) is widely used as a project performance measurement and forecasting technique. Nonetheless, it has not been fully explored in Pakistani…

Abstract

Purpose

Earned Value Management (EVM) is widely used as a project performance measurement and forecasting technique. Nonetheless, it has not been fully explored in Pakistani construction industry; where conventional progress reporting methodology (CPRM) is being followed having certain confines. It reports only the financial progress of a project, expresses feeble association between the duration and cost of activities, and forecasts flawed schedule and completion cost. This research implements EVM on under-construction building projects in Pakistan, and compares its upshots with the projects' actual records and with the outcomes of CPRM.

Design/methodology/approach

To assess the implementation of EVM on building projects, a set of specific criteria was established. Work Breakdown Structure, Organization Breakdown Structure and Control Points were established. The study has compared the EVM metrics with CPRM outcomes on three under-study building projects, and has deliberated on their mutual differences as well as their relationship with actual cost and schedule performance. Monthly figures of actual spending and completed activities were periodically recorded and compared with planned values for status indication. The graphs were generated to observe the correlation between the results of EVM and CPRM. The data was then extrapolated to forecast the schedule and cost values at completion.

Findings

The study discovered that trends of EVM in quantifying the project's cost and schedule performance were strongly correlated and were closer to the actual progress. It has also verified the EVM's soundness in forecasting the cost and schedule, required for project's completion. Contrarily, CPRM metrics could not precisely visualize the current and future, cost and schedule performance.

Originality/value

The case study concludes that EVM's incorporation in progress reporting regime can revolutionize the assessment procedures in Pakistan by rightly indicating the project's current status as well as visualizing the future performance. The study's methodology can also be extrapolated in other countries having similar work environment and economic conditions.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 15 June 2015

Muhammad Yousaf Khan, Saad B. Qaisar, Muhammad Naeem, Awais Aslam, Saleem Shahid and Ijaz Naqvi

The study aims at providing a reliable system of real-time monitoring for underground mine and tunnels which detects any structural change in the network and reconfigures…

Abstract

Purpose

The study aims at providing a reliable system of real-time monitoring for underground mine and tunnels which detects any structural change in the network and reconfigures it for resuming the data delivery process. In high stress environments, e.g. underground mines and tunnels, real-time activity monitoring is an emerging issue. Wireless sensor networks (WSNs) play a key role in ensuring the safety of people working in underground mines and tunnels. WSN not only provide real-time monitoring of underground environment but also detects any structural change in the network itself.

Design/methodology/approach

In this paper, results of empirical implementation of a re-configurable WSN, capable of self-healing approach, reconfigure the network connectivity upon failure or addition of nodes in the system. An open-source radio-frequency identification standard for WSN, named as DASH7, is used for practical implementation. The proposed system is capable of determining cluster breakage by sudden disruptions caused by roof falls, explosions and node failures, sensor coverage hole, node re-addition to the network and distress priority signal generation by the miner.

Findings

The proposed platform contributes to re-attain network state for establishing a communication link with fusion center in terms of: instant and accurate detection of collapse holes, acceptable error rate, time to re-attain network state, rapid distress signal propagation and low deployment cost. This platform is deployed in four different environments of anechoic chamber, hallway, outdoor and underground mine environment, to test the aforementioned scenarios using DASH7-compatible Bitsense Sensor Motes operating at 433 MHz. The effectiveness of the proposed approach has been experimentally validated for the single and multiple adjacent and disjoint node failures in all the four environments.

Originality/value

The number of monitoring systems was implemented for safety assurance in high stress environments before, but the novelty of our platform is long range, cost effectiveness, quick response to any structural change in the network, rapid and accurate data delivery using WSN operated on DASH7 protocol stack.

Details

Sensor Review, vol. 35 no. 3
Type: Research Article
ISSN: 0260-2288

Keywords

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Book part
Publication date: 15 February 2008

William W. Cooper and Piyu Yue

Abstract

Details

Challenges of the Muslim World
Type: Book
ISBN: 978-0-444-53243-5

Content available
Article
Publication date: 11 April 2018

Muhammad Iftikhar Ul Husnain, Arjunan Subramanian and Azad Haider

The empirical literature on climate change and agriculture does not adequately address the issue of potential endogeneity between climatic variables and agriculture, which…

Abstract

Purpose

The empirical literature on climate change and agriculture does not adequately address the issue of potential endogeneity between climatic variables and agriculture, which makes their estimates unreliable. This paper aims to investigate the relationships between climate change and agriculture and test the potential reverse causality and endogeneity of climatic variables to agriculture.

Design/methodology/approach

This study introduces a geographical instrument, longitude and latitude, for temperature to assess the impact of climate change on agriculture by estimating regression using IV-two-stage least squares method over annual panel data for 60 countries for the period of 1999-2011. The identification and F-statistic tests are used to choose and exclude the instrument. The inclusion of some control variables is supposed to reduce the omitted variable bias.

Findings

The study finds a negative relationship between temperature and agriculture. Surprisingly, the magnitude of the coefficient on temperature is mild, at least 20 per cent, as compared to previous studies, which may be because of the use of the instrumental variable (IV), which is also supported by an alternative robust measure when estimated across different regions.

Practical implications

The study provides strong implications for policymakers to confront climate change, which is an impending danger to agriculture. In designing effective policies and strategies, policymakers should focus not only on crop production but also on other agricultural activities such as livestock production and fisheries, in addition to national and international socio-economic and geopolitical dynamics.

Originality/value

This paper contributes to the growing literature in at least four aspects. First, empirical settings introduce an innovative geographical instrument, Second, it includes a wider set of control variables in the analysis. Third, it extends previous studies by involving agriculture value addition. Finally, the effects of temperature and precipitation on a single aggregate measure, agriculture value addition, are separately investigated.

Details

International Journal of Climate Change Strategies and Management, vol. 10 no. 5
Type: Research Article
ISSN: 1756-8692

Keywords

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Article
Publication date: 2 August 2018

Muhammad Taimoor, Li Aijun, Rooh ul Amin and Hongshi Lu

The purpose of this paper is to design linear quadratic regulator (LQR) based Luenberger observer for the estimation of unknown states of aircraft.

Abstract

Purpose

The purpose of this paper is to design linear quadratic regulator (LQR) based Luenberger observer for the estimation of unknown states of aircraft.

Design/methodology/approach

In this paper, the LQR-based Luenberger observer is deliberated for autonomous level flight of unmanned aerial vehicle (UAV) which has been attained productively. Various modes like phugoid and roll modes are exploited for controlling the rates of UAV. The Luenberger observer is exploited for estimation of the mysterious states of the system. The rates of roll, yaw and pitch are used as an input to the observer, while the remaining states such as velocities and angles have been anticipated. The main advantage of using Luenberger observer was to reduce the cost of the system which has been achieved lucratively. The Luenberger observer proposes sturdiness at the rate of completion to conquest over the turmoil and insecurities to overcome the privileged recital. The FlightGear simulator is exploited for the endorsement of the recital of the Luenberger observer-based autopilot. The level flight has been subjugated lucratively and has been legitimated by exploiting the FlightGear simulator. The authenticated and the validated results are offered in this paper. Microsoft Visual Studio has been engaged as a medium between the MATLAB and FlightGear Simulator.

Findings

The suggested observer based on LQR ensures the lucrative approximation of the unknown states of the system as well as the successful level flight of the system. The Luenberger observer is used for approximation of states while LQR is used as controller.

Originality/value

In this research work, not only the estimation of unknown states of both longitudinal and lateral model is made but also the level flight is achieved by using those estimated states and the autopilot is validated by using the FlightGear, while in most of the research work only the estimation is made of only longitudinal or lateral model.

Details

Aircraft Engineering and Aerospace Technology, vol. 90 no. 5
Type: Research Article
ISSN: 1748-8842

Keywords

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