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Home > Development of a Strategy to Improve Implementation of Erp in Pakistan

Development of a Strategy to Improve Implementation of Erp in Pakistan

Thesis Info

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Author

Farooq, Muhammad Omar

Program

PhD

Institute

University of Engineering and Technology

City

Taxila

Province

Punjab

Country

Pakistan

Thesis Completing Year

2018

Thesis Completion Status

Completed

Subject

Engineering Management

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/12670/1/Muhammad_Omar_Farooq_Engg%20Mngt_2018_UET_Taxila_PRR.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727732827

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It is evident from the last few decades that world is rapidly moving towards information technology and the developing countries are also becoming part of it. Organizations are transforming from their traditional way of doing business to new IT-based solutions for their survival, growth and competitiveness. Different Enterprise Systems are present in the market but Enterprise Resource Planning (ERP) is one of the most highly recognized solutions in the corporate world due to various tangible benefits like-improved administrative control and to gain real time information for making decisions right on time. Normally, ERP consist of packaged software embedded with world best practices and composed of different modules like Human Resource Management, Marketing, Finance, Productions, Sales etc. These modules are closely integrated with each other to provide cross organizational control and improved visibility of different business functions. The software packages are customized up to certain limits and based on the specific needs of the organizations. ERP is considered as a very important advancement in the field of technology of the corporate world in 1990. The principal reason of ERP failure is commonly associated with poor management of implementation process. Implementing ERP is one of the riskiest decisions that organizations take due to high cost involvement and complex implementation process. Many researchers have pointed out high failure rate in ERP implementation projects in terms of cost overrun, schedule overrun and failure to achieve the desire objectives. This implies that an in-depth research study is required to mitigate the failures factors. ‘ERP implementation failures’ is one of the most common topic discussed by the researchers and industry experts. But there are very few researchers who talk about the mitigation strategies to overcome these failure issues. Literature shows that mostly available standards and guidelines are for the developed instead for the developing countries. Whereas the developing countries are also moving towards enterprise systems rapidly. There are some specific challenges from which developing countries have to pass through that are entirely different conditions from the implied assumption of technology advanced countries. Pakistan is also one of those countries where many organizations are moving towards ERP system but the comparative growth of ERP implementation is not promising like other countries of the world and of South Asia with similar economies and cultural back ground. The main reason behind this is that there is lack of comprehensive guidelines for developing countries. No study in available in the literature that contains guidelines for ERP implementation projects for the in industry in Pakistan. It is evident from the previous studies that to make a project successful there are some critical factors that can differ from region to region which require special care and must be strictly monitored and controlled. The study will provide strategy that will be helpful to handle issues faced by the industry in Pakistan during the implementation of ERP. These identified factors will guide what to avoid and what to practice to achieve success. This study is based on the exploratory mixed method of sequential research design in depth relationship among the variables and to cross validate the variable discovered. The basic objective to use qualitative method is to develop the strategy and quantitative method is to validate the component of strategy. CSF and CFF have been explored using quantitative and qualitative methods for data collection and then results are analyzed. Qualitative data has been collected using semi-structured interviews from the people who have core involvement in ERP implementation process from both client organizations and the vendor organization of Pakistan. Similarly, quantitative data has been collected by sharing online survey using self-established instrument with the people involved in in ERP implementation process. The survey instrument was developed containing 48 questions based on the mapping of the factors obtained from literature review and interviews. Different tools have been used for data analysis like NVIVO for qualitative data analysis and SPSS, EFA, PLS-structure modeling for quantitative data analysis. Finally, the results are merged to reach on final conclusion. Case study methodology is used to implement and validate the proposed strategy in a company where ERP is in process of implementation. The core objective to conduct this research study is to formulate an effective ERP implementation strategy that can reduce cost, minimize complexity and support organizations to gain the desired outcomes. Different components of strategy are explored like Role of Top Management, Role of Project Management, Change Management, Strategy to Involve Users in Trainings, Business Process Reengineering (BPR) Techniques and Role of Vendor are explored. Components of proposed guidelines are validated using face validity, content validity. The proposed strategy will provide a structured approach based on the critical factors in the implementation part and will be a huge contribution in the body of knowledge for not only the organizations in Pakistan but also in other developing countries and will work as business game changer.
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اسلام اور مغرب: ڈاکٹر محمود احمد غازی کے افکار کا خصوصی مطالعہ

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Molecular Variation Among Bemisia Population in Cotton Growing Areas of the Punjab and Sindh

The whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae), is one of most destructive insect pests of agriculture and horticulture worldwide. It is a cryptic species complex, and biotypes of the complex have become serious pests in Pakistan because of their feeding and their ability to transmit cotton leaf curl virus (CLCuV). During 2007- 2008 and 2008-2009, the survey covered 40 cotton growing areas of the Punjab and Sindh provinces. Bemisia tabaci populations were sampled from cotton fields showing CLCuV infection. 100% prevalence was observed on the basis of typical begomovirus symptoms in cotton fields, both the years in Punjab and Sindh, Pakistan. The genetic diversity, biotype status of the Bemisia tabaci and its association with difference in Cotton Leaf Curl Disease incidence across both provinces were assessed by using random amplified polymorphic DNA-polymerase chain reaction and the mitochondrial cytochrome oxidase 1 (mtCO1) gene sequences. Phylogenetic analyses of mitochondrial cytochrome oxidase 1 sequences conducted by maximum-likelihood and maximum parsimony methods. The RAPD banding patterns showed considerable genetic variations among all 82 B.tabaci populations analyzed from each year. RAPD profiles generated 151 scorable amplification products, of which 77% were polymorphic in 2007 -2008 populations however 152 scorable amplification products were produced, of which 79% were polymorphic during 2008-2009 analysis. The study showed that the primer OPA-04 gave the unique and unambiguous DNA profiles that clearly distinguished biotype B from indigenous non B individuals. The primers gave polymorphic products of 150bp and 450bp with B biotype whereas 490bp and 1250bp with non B biotype. RAPD data clustered the B. tabaci samples on the basis of B and non B biotypes, regardless of the geographical origin of the populations. In both years analysis, 78 out of 80 Pakistani samples excluding the control populations fell in the non B cluster. The sub grouping between B.tabaci is diverse as Punjab populations set together with both Punjab and Sindh populations in this cluster. The B biotype populations formed an independent cluster contained B biotype reference population with two populations from Sindh. This shows that the presence of B biotype now termed Middle East Asia Minor 1 (MEAM 1) was restricted to a few locations of Sindh. This RAPD analysis showed that 96% of total B.tabaci samples studied are non B biotype (now termed Asia II 1), observed in cotton growing areas of Punjab and Sindh, Pakistan. These non B biotype B. tabaci are more diverse and indigenous to B biotype. It is estimated that genetic variations among non B populations increased by 2% over a year. Phylogenetic analyses of mtCO1 gene sequences congregated Pakistani B.tabaci with two genetic groups; Asia II 1(H, M, NA, non B biotypes) and MEAM 1 (B, B2 biotypes) in the year 2007-2008. However, the 2008-2009 samples fell into three distinctive clusters namely, Asia II 1, Asia II 5 and MEAM1. This phylogenetic inference revealed that the vast majority of the B.tabaci were Asia II 1 (non B biotype) and appeared well established in cotton growing regions of Punjab and Sindh province. This Asia II 1 cluster separated into two subgroups; subgroup A and subgroup B. The subgroup A, showed Pakistani populations shared close relationship with the Chinese, Indian and previously described Pakistani B.tabaci whereas the subgroup B clustered, Pakistani Bemisia populations with Nepal and Bangladesh populations. The high nucleotide identities (upto 99%) were observed in each group. MEAM1 was not detected in Punjab cotton growing areas by RAPD and phylogenetic analysis however identified from few locations of Sindh. Two populations from Pakpatan, Punjab and one from Khairpur, Sindh grouped with Asia II 5 (G biotype) with a high bootstrap support at 99%. The Asia II 5 is a new biotype observed in Pakistan and its presence is already reported in India and Bangladesh. This study is the first evidence of Asia II 5 presence in Punjab and Sindh, hence, the correlation between Asia II 5 and Cotton leaf curl disease (CLCuD) is yet unclear. The prevalence of Asia II 1 was sustained in these two year analysis of B.tabaci population from cotton. It seems that the distribution of this genetic group influence the distribution of CLCuD and plays a vital role in the spread of CLCuV all over Punjab and Sindh provinces, Pakistan. The phylogenetic study significantly supported the outcomes of RAPD analysis. The high genetic variations were observed in B.tabaci populations of cotton growing areas of Punjab and Sindh. The Asia II 1 (includes H, M, NA, non B biotypes) is prevalent in both provinces and associated with high incidence of CLCuD. The present study, gives the first indication of subsistence of Asia II 1 on cotton in Sindh and presence of Asia II 5 in Pakistan. This knowledge will contribute to the development of appropriate strategies with which to manage the disease in Pakistan.