Benefits and challenges of Enterprise Resource Planning for Pakistani SMEs

Enterprise resource planning (ERP) software is used to combine all the functions happening inside the organization with the help of one software. All the data is centralized which makes it easy to manage information for all participants. The literature on ERP is studied thoroughly the whole process of adoption till the implementation and final evaluations. But studies that focus on small and medium sized enterprises are limited in number when compared to the large scale enterprises. In case of Pakistan, research is very limited. In this thesis, the author tries to analyze the current status of SMEs usage of ERP system. The benefits obtained and challenges faced by SMEs of Pakistan are studied. Framework presented by Shang and Seddon (2000) is used to understand the benefits obtained by the SMEs in Pakistan. This is a comprehensive framework that classifies the benefits obtained by the ERP adoption, into five categories: operational benefits, managerial benefits, Strategic benefits, IT benefits, and Organizational benefits. The results show that SMEs of Pakistan are also getting many benefits after adoption of ERP. Most of the firms had implemented SAP software. Operational benefits were mentioned by all the firms. The most important benefits were report generation, quick access to critical information, better product and cost planning. Respondents also mentioned that they had reduced corruption as a result of ERP implementation. It is also an important benefit considering high corruption rate in Pakistan. Along with benefits, challenges faced by Pakistani SMEs included infrastructure problems like electricity, difficulties with integration of one module with other module, costs of adoption and lack of skilled ERP consultants. Further studies in this regard can be conducted on cloud based ERP which is fast growing all around the world.

Solving large sparse linear systems over the field GF(2)

Nowadays problem of solving sparse linear systems over the field GF(2) remain as a challenge. The popular approach is to improve existing methods such as the block Lanczos method (the Montgomery method) and the Wiedemann-Coppersmith method. Both these methods are considered in the thesis in details: there are their modifications and computational estimation for each process. It demonstrates the most complicated parts of these methods and gives the idea how to improve computations in software point of view. The research provides the implementation of accelerated binary matrix operations computer library which helps to make the progress steps in the Montgomery and in the Wiedemann-Coppersmith methods faster.

International Entrepreneurship in Bottom of the Pyramid Markets – Overcoming institutional constraints

Bottom of the pyramid (BoP) markets are an underserved market of approximately four billion people living on under $5 a day in four regional areas: Africa, Asia, Eastern Europe and Latin America. According to estimations, the BoP market forms a $5 trillion global consumer market. Despite the potential of BoP markets, companies have traditionally focused on serving the markets of developed countries and ignored the large customer group at the bottom of the pyramid. The BoP approach as first developed by Prahalad and Hart in 2002 has focused on multinational corporations (MNCs), which were thought of as the ones who should take responsibility in serving the customers at the bottom of the pyramid. This study challenges this proposition and gives evidence that also smaller international new ventures – entrepreneurial firms that are international from their birth, can be successful in BoP markets. BoP markets are characterized by a number of deficiencies in the institutional environment such as strong reliance on informal sector, lack of infrastructure and lack of skilled labor. The purpose of this study is to increase the understanding of international entrepreneurship in BoP markets by analyzing how international new ventures overcome institutional constraints in BoP markets and how institutional uncertainty can be exploited by solving institutional problems. The main objective is divided into four sub objectives. • To describe the opportunities and challenges BoP markets present • To analyze the internationalization of INVs to BoP markets • To examine what kinds of strategies international entrepreneurs use to overcome institutional constraints • To explore the opportunities institutional uncertainty offers for INVs Qualitative approach was used to conduct this study and multiple-case study was chosen as a research strategy in order to allow cross-case analysis. The empirical data was collected through four interviews with the companies Fuzu, Mifuko, Palmroth Consulting and Sibesonke. The results indicated that understanding of the wider institutional environment improves the survival prospects of INVs in BoP markets and that it is indeed possible to exploit institutional uncertainty by solving institutional problems. The main findings were that first-hand experience of the markets and grassroots levels of information are the best assets in internationalization to BoP markets. This study highlights that international entrepreneurs with limited resources can improve the lives of people at the BoP with their business operations and act as small-scale institutional entrepreneurs contributing to the development of the institutional environment of BoP markets.

A map or chart of the Gulfs of Finland and Livonia with their respective ports and harbours, together with a large Plan of Kroonstad and St. Petersburg, taken from an original drawing lately sent from St. Petersburg

Sold by M. Senex at the Globe over against St. Dunstans Church in Fleetstreet London.

Preparation and Investigation of Bio-coal Mixture Fuels Used in Large Diesel Engines

Coal slurry was of vital interest during the last century due to its potential as an alternative fuel where liquid fuels were necessary. Recently, environmental impacts of the traditional fuels, similarities of bio-coal to that of coal, and huge bio-coal supply has attracted the attention to prepare bio-coal slurries as a new fuel. Rudolf Diesel who invented the diesel engine on 1895 was of the opinion that diesel engines are capable to use different kinds of fuels due to the special design. He tried some kind of vegetable oil to operate on his IC engine. Recently, due to high energy density and more environmentally friendly fuel, researchers believe that bio-coal slurries could act as a new alternative fuel in large diesel engines. Loads of research on different kinds of bio-coal slurry were done by the other researchers worldwide and a lot of progress to boost slurry’s quality were achieved recently. The present study aims to achieve the ideal condition of different factors affecting on the quality of bio-coal slurry. One charcoal sample and two kinds of torrefied wood were used to investigate and compare the reaction of various factors. The results show a great gap between the quality of slurries made of different samples and more researches are necessary to fully understand the impact of the different parameter and improving the quality.

GIS-based approach for optimization of onshore wind park infrastructure alignment in Finland

Wind power is a rapidly developing, low-emission form of energy production. In Fin-land, the official objective is to increase wind power capacity from the current 1 005 MW up to 3 500–4 000 MW by 2025. By the end of April 2015, the total capacity of all wind power project being planned in Finland had surpassed 11 000 MW. As the amount of projects in Finland is record high, an increasing amount of infrastructure is also being planned and constructed. Traditionally, these planning operations are conducted using manual and labor-intensive work methods that are prone to subjectivity. This study introduces a GIS-based methodology for determining optimal paths to sup-port the planning of onshore wind park infrastructure alignment in Nordanå-Lövböle wind park located on the island of Kemiönsaari in Southwest Finland. The presented methodology utilizes a least-cost path (LCP) algorithm for searching of optimal paths within a high resolution real-world terrain dataset derived from airborne lidar scannings. In addition, planning data is used to provide a realistic planning framework for the anal-ysis. In order to produce realistic results, the physiographic and planning datasets are standardized and weighted according to qualitative suitability assessments by utilizing methods and practices offered by multi-criteria evaluation (MCE). The results are pre-sented as scenarios to correspond various different planning objectives. Finally, the methodology is documented by using tools of Business Process Management (BPM). The results show that the presented methodology can be effectively used to search and identify extensive, 20 to 35 kilometers long networks of paths that correspond to certain optimization objectives in the study area. The utilization of high-resolution terrain data produces a more objective and more detailed path alignment plan. This study demon-strates that the presented methodology can be practically applied to support a wind power infrastructure alignment planning process. The six-phase structure of the method-ology allows straightforward incorporation of different optimization objectives. The methodology responds well to combining quantitative and qualitative data. Additional-ly, the careful documentation presents an example of how the methodology can be eval-uated and developed as a business process. This thesis also shows that more emphasis on the research of algorithm-based, more objective methods for the planning of infrastruc-ture alignment is desirable, as technological development has only recently started to realize the potential of these computational methods.