Service-Oriented Organizational Citizenship Behavior in Restaurants: An Empirical Study from Pakistan

Sana Arz BHUTTO,Yasir JAMAL,Asim RAFIQ,Noor Un NISA,Saifullah SAIFULLAH,Munir HUSSAIN 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.11

The aim of this study is to investigate the role of employee engagement as a mediator between the High-Performance Work System and the Service-Oriented Organizational Citizenship Behavior (Service-Oriented OCB). Furthermore, work-life balance as a moderator, the impact Service-Oriented OCB on customer satisfaction will be investigated. This study employs a quantitative methodology for which questionnaires were distributed to sixty restaurants in Karachi, and a sample of 418 responses was collected for structural equation modeling analysis. Smart PLS software was used to analyze the structure model. The results show that HPWS has a positive impact on Service-Oriented OCB. It is assumed that the role of work engagement as a mediator between HPWS and Service-Oriented OCB is significant. This study found that Service-Oriented OCB has a positive impact on customer satisfaction. Work-life balance was also found to have a moderating influence. The findings confirmed the black box mechanism and the HPWS procedures in restaurants. This study suggests implementing effective HPWS practices to influence employees’ work engagement, which leads to Service-Oriented OCB and employees being able to optimize their performance to influence customer satisfaction. The study contributes to the existing body of knowledge in human resource management.

The Role of Training and Absorptive Capacity in Mediating Human Capital Dimensions and Organizational Performance: Evidence from Pakistan

Sana Arz BHUTTO,Yasir JAMAL,Asim RAFIQ,Kashif MEHMOOD,Munir HUSSAIN,Amjad ALI 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.12

This study aims to examine the role of training and absorptive capacity as a mediator to examine the impact of human capital dimensions on the performance of an organization. This study employs the quantitative approach for analysis. A sample of 208 respondents was collected from the textile factories based in Karachi and Faisalabad. Data was analyzed using the PLS-SEM technique. PLS-SEM algorithm was used to check the validity and reliability of the data. PLS-SEM bootstrapping was used for studying the impact. The results show that the skills have an insignificant impact on organizational performance. Education and skills have an insignificant indirect impact on the performance of an organization. The research findings show that the human capital dimensions are full and partially mediated via absorptive capacity and training. The findings revealed that if we implement one by one dimension of human capital then it will not cause any increase in the organization’s performance but if we implement all dimensions then it results in optimal performance. Thus, this study suggests adopting effective training techniques and creating absorptive capacity in an organization to increase the performance of an organization. The findings of this study significantly contribute to the existing body of knowledge.

Does Brand Love Precede Brand Loyalty? Empirical Evidence from Saudi Airline Customers in Strategic Alliance Setting

SOOMRO, Yasir Ali,BHUTTO, Muhammad Yaseen,ERTZ, Myriam,SHAIKH, Ahsan-ul-Haq,BAESHEN, Yasser,Al BATATI, Bader Korea Distribution Science Association 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.6

This research aims to construct a model that combines brand love, brand loyalty, brand image, customer satisfaction, and service quality into a single model, with brand loyalty coming foremost, and test its predictive power in building brand love. Moreover, mediating effect of customer satisfaction and brand image on service quality and brand loyalty affecting brand love was checked. The study adopted an alliance context using an existing SERVQUAL model, a bi-dimensional aspect of brand loyalty and parasocial love relationship theory, to identify brand love as a construct or outcome in the consumer-brand relationship. Using a quantitative approach, survey questionnaires were distributed by unrestricted random sampling among 507 Saudia Airlines customers. Data were analyzed using structural equation modeling with SmartPLS 3.0. The results revealed significant relationships between four variables except for the brand image. It was found that brand image had no mediating effect on the relationship between service quality and customer loyalty. The outcome of this study highlights the importance of airline alliances for service quality, which leads to positive customer satisfaction, brand image, and customer loyalty. A unique contribution of the study is that it revealed that brand loyalty is also an antecedent of brand love.

Tuning of PI Controller using Genetic Algorithm for Ball and Hoop System International Conference on Control, Automation and Systems (ICCAS 2014)

Faizullah Mahar,Zohaibuddin Bhutto,Ayaz Hussain 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10

Parametric study of pyrolysis and steam gasification of rice straw in presence of K2CO3

Humair Ahmed Baloch,Abdul Waheed Bhutto,Tianhua Yang,Haipeng Sun,Jie Li,Sabzoi Nizamuddin,Rundong Li,Zhanguo Kou,Yang Sun 한국화학공학회 2016 Korean Journal of Chemical Engineering Vol.33 No.9

A parametric study of pyrolysis and steam gasification of rice straw (RS) was performed to investigate the effect of the presence of K2CO3 on the behavior of gas evolution, gas component distribution, pyrolysis/gasification reactivity, the quality and volume of synthetic gas. During pyrolysis, with the increase in K2CO3 content in RS (i) the instantaneous CO2 concentration was increased while CO concentration was relatively stable; (ii) the yield of CO2 and H2 increased on the cost of CH4. During steam gasification of RS, with the increase in K2CO3 content in RS (i) the instantaneous concentration of CO2 and H2 increased while instantaneous concentration of CO and CH4 decreased; (ii) the yield of CO2 and H2 production and total yield increased; and (iii) yield of CO and CH4 production followed the order: 9% K2CO3 RS<6% K2CO3 RS<raw RS<3% K2CO3 RS<water-leached RS. Water-leached RS showed the highest pyrolysis reactivity, while stream gasification reactivity was proportional to K2CO3 content in RS. The results of this study reveal that the presence of K2CO3 during pyrolysis and steam gasification of RS effectively improves production of H2 rich gas.

Analysis of 3D Building Construction Applications in Augmented Reality

Khan, Humera Mehfooz,Waseemullah, Waseemullah,Bhutto, Muhammad Aslam,Khan, Shariq Mahmood,Baig, Mirza Adnan International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.10

Construction industry is considered as one of the oldest industries in the world since human came into being and the need of their own space is realized. All this led to make the world a space of many beautiful constructive ventures. As per the requirements of today's world, every industry is recognizing the need for use and adoption of modern as well as innovative technologies due to their benefits and timely production. Now construction industry has also started adopting the use of modern and innovative technologies during their projects but still the rate of adoption is so slow. From design to completion, construction projects take a lot to manage for which technology based solutions have continuously been proposed. These include Computer Aided Design (CAD), building information modeling (BIM) and cloud computing have been proved to be much successful until now. The construction projects are high budgeted, and direly require timely and successful completion with quality, resource and other constraints. So, the researchers observe the need of more clear and technology based communication between the construction projects and its constructors and other stakeholders is required before and during the construction to take timely precautions for expected issues. This study has analyzed the use of Augmented Reality (AR) technology adopting GammaAR, and ARki applications in construction industry. It has been found that both applications are light-weighted, upgradable, provide offline availability and collaborative environment as well as fulfil most of the requirements of the construction industry except the cost. These applications also support different screen size for better visualization and deep understanding. Both applications are analyzed, based on construction's application requirements, usability of AR and ratings of applications user collected from application's platform. The purpose of this research is to provide a detail insight of construction applications which are using AR to facilitate both the future developers and consumers.

Theoretical fabrication of Williamson nanoliquid over a stretchable surface

Sharif, Humaira,Hussain, Muzamal,Khadimallah, Mohamed Amine,Ayed, Hamdi,Taj, Muhammad,Bhutto, Javed Khan,Mahmoud, S.R.,Iqbal, Zafer,Ahmad, Shabbir,Tounsi, Abdelouahed Techno-Press 2022 Advances in concrete construction Vol.14 No.2

On the basis of fabrication, the utilization of nano material in numerous industrial and technological system, obtained the utmost significance in current decade. Therefore, the current investigation presents a theoretical disposition regarding the flow of electric conducting Williamson nanoliquid over a stretchable surface in the presence of the motile microorganism. The impact of thermal radiation and magnetic parameter are incorporated in the energy equation. The concentration field is modified by adding the influence of chemical reaction. Moreover, the splendid features of nanofluid are displayed by utilizing the thermophoresis and Brownian motion aspects. Compatible similarity transformation is imposed on the equations governing the problem to derive the dimensionless ordinary differential equations. The Homotopy analysis method has been implemented to find the analytic solution of the obtained differential equations. The implications of specific parameters on profiles of velocity, temperature, concentration and motile microorganism density are investigated graphically. Moreover, coefficient of skin friction, Nusselt number, Sherwood number and density of motile number are clarified in tabular forms. It is revealed that thermal radiation, thermophoresis and Brownian motion parameters are very effective for improvement of heat transfer. The reported investigation can be used in improving the heat transfer appliances and systems of solar energy.

SDCN: Synchronized Depthwise Separable Convolutional Neural Network for Single Image Super-Resolution

Muhammad, Wazir,Hussain, Ayaz,Shah, Syed Ali Raza,Shah, Jalal,Bhutto, Zuhaibuddin,Thaheem, Imdadullah,Ali, Shamshad,Masrour, Salman International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.11

Recently, image super-resolution techniques used in convolutional neural networks (CNN) have led to remarkable performance in the research area of digital image processing applications and computer vision tasks. Convolutional layers stacked on top of each other can design a more complex network architecture, but they also use more memory in terms of the number of parameters and introduce the vanishing gradient problem during training. Furthermore, earlier approaches of single image super-resolution used interpolation technique as a pre-processing stage to upscale the low-resolution image into HR image. The design of these approaches is simple, but not effective and insert the newer unwanted pixels (noises) in the reconstructed HR image. In this paper, authors are propose a novel single image super-resolution architecture based on synchronized depthwise separable convolution with Dense Skip Connection Block (DSCB). In addition, unlike existing SR methods that only rely on single path, but our proposed method used the synchronizes path for generating the SISR image. Extensive quantitative and qualitative experiments show that our method (SDCN) achieves promising improvements than other state-of-the-art methods.

LDCSIR: Lightweight Deep CNN-based Approach for Single Image Super-Resolution

Muhammad, Wazir,Shaikh, Murtaza Hussain,Shah, Jalal,Shah, Syed Ali Raza,Bhutto, Zuhaibuddin,Lehri, Liaquat Ali,Hussain, Ayaz,Masrour, Salman,Ali, Shamshad,Thaheem, Imdadullah International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.12

Single image super-resolution (SISR) is an image processing technique, and its main target is to reconstruct the high-quality or high-resolution (HR) image from the low-quality or low-resolution (LR) image. Currently, deep learning-based convolutional neural network (CNN) image super-resolution approaches achieved remarkable improvement over the previous approaches. Furthermore, earlier approaches used hand designed filter to upscale the LR image into HR image. The design architecture of such approaches is easy, but it introduces the extra unwanted pixels in the reconstructed image. To resolve these issues, we propose novel deep learning-based approach known as Lightweight deep CNN-based approach for Single Image Super-Resolution (LDCSIR). In this paper, we propose a new architecture which is inspired by ResNet with Inception blocks, which significantly drop the computational cost of the model and increase the processing time for reconstructing the HR image. Compared with the other state of the art methods, LDCSIR achieves better performance in terms of quantitively (PSNR/SSIM) and qualitatively.

Hydrothermal carbonization of oil palm shell

Sabzoi Nizamuddin,Natesan Subramanian Jayakumar,Jaya Narayan Sahu,Poobalan Ganesan,Abdul Waheed Bhutto,Nabisab Mujawar Mubarak 한국화학공학회 2015 Korean Journal of Chemical Engineering Vol.32 No.9

Palm shell is one of the most plentiful wastes of the palm oil mill industry. This study identifies the capability of hydrothermal carbonization process (HTC) to convert palm shell into high energy hydrochar. The influence of reaction time and reaction temperature of the HTC process was investigated. The process parameters selected were temperature 200 oC to 240 oC, time 10 to 60min, and water to biomass ratio was fixed at 10 : 1 by weight %. Fourier transform infrared (FTIR), elemental, proximate, Burner Emmett and Teller (BET), thermo-gravimetric (TGA) analyses were performed to characterize the product and the feed. The heating value (HHV) was increased from 12.24 MJ/ kg (raw palm shell) to 22.11 MJ/kg (hydrochar produced at 240 oC and 60 min). The hydrochar yield exhibited a higher degree inverse proportionality with temperature and reaction time. Elemental analysis revealed an increase in carbon percentage and a proportional decrease in hydrogen and oxygen contents which caused higher value of HHV. The dehydration and decarboxylation reactions take place at higher temperatures during HTC resulting in the increase of carbon and decrease in oxygen values of hydrochar. The FESEM results reveal that the structure of raw palm shell was decomposed by HTC process. The pores on the surface of hydrochar increased as compared to the raw palm shell.