VU
Virtual University of Pakistan
Federal Government University
Dr. Muhammad Mahboob Khurshid
Senior Assistant Controller Examinations
Examinations
Examinations


PhD (Information System)


Information Systems
Official Email mehboob.khursheed@vu.edu.pk
Contact +92 (42) 111 880 880 (Ext: 1546)
I have over 15 years of extensive professional experience in managing examination processes. I am a loyal, dedicated, and hardworking individual who has received multiple recognitions for my efforts from the Rector of Virtual University at various times. Additionally, I have several research publications in HEC recognized journals, with a cumulative impact factor exceeding 32.
Publications
Category: N/A
Factors Impacting the Behavioral Intention to Use Social Media for Knowledge Sharing: Insights from Disaster Relief Practitioners
Aim/Purpose: The primary purpose of this study is to investigate the factors that impact the behavioral intention to use social media (SM) for knowledge sharing (KS) in the disaster relief (DR) context. Background: With the continuing growth of SM for KS in the DR environment, disaster relief organizations across the globe have started to realize its importance in streamlining their processes in the post-implementation phase. However, SM-based KS depends on the willingness of members to share their knowledge with others, which is affected by several technological, social, and organizational factors. Methodology: A survey was conducted in Somalia to gather primary data from DR practitioners, using purposive sampling as the technique. The survey collected 214 valid responses, which were then analyzed with the PLS-SEM approach.
Year: 2023
Category: X
Factors Influencing Citizens’ Intention to Use Open Government Data – A Case Study of Pakistan
Open government data (OGD) has gained much attention worldwide: however, there is still an increasing demand for exploring research from the perspective of its adoption and diffusion. Policymakers expect that OGD will be used on a large scale by the public, which will result in a range of benefits, such as: faith and trust in governments, innovation and development, and participatory governance. However, not much is known about which factors influence the citizens’ intention to use OGD. Therefore, this research aims at empirically investigating the factors that influence citizens’ intention to use OGD in a developing country using information systems theory. Improved knowledge and understanding of the influencing factors can assist policymakers in determining which policy initiatives they can take to increase the intention to widely use OGD.
Year: 2022
Category: W
Examining the effect of interoperability factors on building information modelling (BIM) adoption in Malaysia
Building information modelling (BIM) has transformed the traditional practices of the Architecture, Engineering and Construction (AEC) industry. BIM creates a collaborative digital representation of built environment data. Competitive advantage can be achieved with collaborative project delivery and rich information modelling. Despite the abundant benefits, BIM’s adoption in the AEC is susceptible to confrontation. A substantial impediment to BIM adoption often cited is data interoperability. Other facets of interoperability got limited attention. Other academic areas, including information systems, discuss the interoperability construct ahead of data interoperability. These interoperability factors have yet to be surveyed in the AEC industry. This study aims to investigate the effect of interoperability factors on BIM adoption and develop a comprehensive BIM adoption model.
Year: 2022
Category: W
Investigating the Determinants of the Adoption of Solar Photovoltaic Systems—Citizen’s Perspectives of Two Developing Countries
The adoption of solar photovoltaic (PV) systems is seen as an important part of the sustainable energy transition. In this regard, it is crucial to identify the determinants of solar (PV) systems’ adoption to facilitate this process. Therefore, this article aims to examine the determinants of SPVS adoption by contrasting the relationships in a cross-cultural environment. For the accomplishment of the purpose, this paper follows a quantitative method in which data is analysed by adopting the PLS-SEM approach using SmartPLS 3.3.9. After analysing the collected data of 464 consumers from Somalia and Pakistan, it is found that perceived usefulness, perceived ease-of-use, compatibility, observability, and perceived trust are significant predictors.
Year: 2022
Category: Y
Factors influencing Digital Payments Adoption in Pakistan
Digital payments are the financial transactions enabled through digital technologies and bear the huge potential to bring change in the social life of unbanked masses in developing and developed countries. However, a challenge encountered among developing countries is the insignificant adoption of digital payments caused by different factors of human, technological, economic and legal nature. Therefore, the purpose of this research is to empirically examine the factors that influence consumers’ adoption of digital payments in Pakistan by employing information systems theory. A better understanding of these factors can help policymakers to develop policy instruments they can implement to increase the adoption of digital payments in Pakistan.
Year: 2020
Category: W
Modeling of Open Government Data for Public Sector Organizations Using the Potential Theories and Determinants—A Systematic Review
Open government data (OGD) has huge potential to increase transparency, accountability, and participation while improving efficiency in operations, data-driven and evidence-based policymaking, and trust in government institutions. Despite its potential benefits, OGD has not been widely and successfully adopted in public sector organizations, particularly in developing countries. Therefore, the purpose of this study is to explore the theories/frameworks and potential determinants that influence the OGD adoption in public sector organizations. To ascertain the various determinants of OGD adoption in public sector organizations, this study involved a systematic review of already established theories and determinants addressed in the public sector open data domain. The review revealed that the TOE (technology, organization, environment) framework was dominantly employed over theories in the earlier studies to understand organizational adoption to OGD followed by institutional theory.
Year: 2020
Category: W
The Role of Big Data Predictive Analytics and Radio Frequency Identification in the Pharmaceutical Industry
Increasing supply chain performance (SCP) has always been a common phenomenon in the history of organizations. Recent technological advancements [including, radio frequency identification (RFID) in combination with big data predictive analytics (BDPA)] have been able to significantly leverage SCP. In this respect, there is an urgent need for acceptance of RFID technology as well as BDPA to be empirically investigated in order to better understand the enhancement of SCP. Therefore, this paper aims at establishing and empirically investigating the relationship between BDPA acceptance, RFID acceptance, and SCP, respectively.
Year: 2019
Category: Y
Estimation of Laffer curve: Evidence from Pakistan
Laffer curve is a tradeoff between tax cuts and tax revenues. The sketch of Laffer curve was drawn by Arther Laffer at a dinner with his friends on his napkin that reduction in taxes will increase tax revenues. Lafer curve explained that lower tax rate could encourage an additional output and it would increase income, which builds bigger tax base in an economy. In this research we have estimated the Laffer curve on the basis of Taxes on goods and services for Pakistan economy for the period of 1990 to 2016. Time series data have been collected from the world economic data base. Results explained that all the variables are significant and signs of coefficients are in accordance with the theory.
Year: 2019
Category: W
Framework for Agile Development using Cloud Computing: A Survey
Agile methods are based on frequent delivery of software, improved customer satisfaction, closed interaction with the clients and accommodation of requirement change at any stage of development. However, several challenges exist such as scalability, transparency, face-to-face communication, smooth control of development, and ability to build applications from distributed locations. A framework proposed for Agile Development using Cloud Computing (ADCC) in the earlier study is evaluated in the current study. The Malaysia Research and Education Network cloud is utilized to implement the framework.
Year: 2019
Category: W
The Role of Wearable Technologies in Supply Chain Collaboration: A Case of Pharmaceutical Industry
The technological transformation has led to the introduction of mini computers as wearable computers which facilitate users to use the Internet, different applications, messaging, and for calls all on one platform. The focus of these wearable computers in earlier studies has been on consumers and technical aspects, and their application has not been explored from an organizational perspective. This means that the recent introduction of wearable technology has great potential, which is untapped in the organizational context, especially for supply chain collaboration (SC). In this study, wearable technology is thought to offer huge potential for organizations in SC. Therefore, the purpose of this study is to empirically examine the role of wearable technology i.e. Smartwatch in enhancing collaboration among supply chain members with mediating roles of green training (GT) and emotional intelligence (EI).
Year: 2019
Category: W
Analyzing Diffusion Patterns of Big Open Data as Policy Innovation in Public Sector
The Fourth Industrial Revolution begins, and policies are being formulated by economies as well as efforts are being made to meet the needs of the current times. Among other technologies which are part of Fourth Industrial Revolution, big open data is also the part of Pakistan’s digital policy framework. Scholarship is available to explore and examine the determinants of BOD diffusion and adoption, a little literature is available to understand big open data as policy innovation and its diffusion. Therefore, this study drew on Diffusion of Innovation (DOI) theory and its application to public policy innovation research to examine patterns of BOD policy innovation diffusion at government and public bodies’ level in Pakistan. These patterns are based on policy declaration timing by the governments, policy adoption timing, development of technological applications, and proactively released datasets statistics in public bodies.
Year: 2019
Category: X
Examining the Factors of Open Government Data Usability from Academician`s Perspective
This article examines factors that can be argued to influence the academician`s behavioral intentions in using open government data (OGD). Policy-makers and practitioners will determine policy instruments in increasing acceptance and use of OGD by maintaining a good understanding of these factors. In this article, Rogers` Diffusion of Innovations (DOI) theory has been proposed and used in order to empirically examine these factors taking perceived characteristics of innovations. Relevant hypotheses have been developed through the literature review, forming a preliminary research model, while respective influences of the factors on the behavioral intention to use open government data have been statistically tested.
Year: 2018
Category: W
Effect of IoT Capabilities and Energy Consumption behavior on Green Supply Chain Integration
The Internet of Things (IoT) is the next generation of internet-connected information communication technologies (ICT). IoT typically integrates supply chain activities to enhance green supply chain performance (GSCP). Since every organization has different IoT capabilities in comparison with other organizations, GSCP can enable supply chain integration activities for enhanced performance. The implementation of an IoT system can reduce the consumption of organizational resources like energy, electricity, and time and can increase the operational speed to gain better logistics and, ultimately, improved supply chain performance. This study has developed and empirically tested the relationship between IoT capabilities, energy consumption behavior (ECB), supply chain integration, green training (GT), and supply chain practices. Such a multidisciplinary relationship has not previously been established in the literature.
Year: 2018
Presentation
1 Quantitative Data Analysis using SmartPLS 3.0