Examining client perceptions of partnership quality and its dimensions in an IT outsourcing relationship

This paper reports on an empirical study of the multidimensionality of partnership quality in IT outsourcing arrangements and the relationships between these dimensions of partnership quality. A two-phase national survey was conducted to collect empirical data to confirm the dimensions of partnership quality in an IT outsourcing arrangement from the client organisation perspective and to identify the significant relationships between these dimensions using a second generation multivariate analysis technique—partial least squares (PLS). The findings from results of the data analyses show that inter-organisational trust, shared business understanding and to a lesser extent, functional and dysfunctional conflict between the client organisation and the outsourcing vendor in an IT outsourcing relationship are the key determinants of partnership quality. The key outcome variable for high partnership quality between the client organisation and the outsourcing vendor in an IT outsourcing relationship is mutual beneficial sharing of risks and benefits. Commitment in an IT outsourcing relationship is confirmed as a multidimensional construct of behaviour commitment and temporal/continuance commitment and was found to be influenced by the other dimensions of partnership quality. The key findings of this study provide support for the notion that trust and shared business understanding are key drivers in the IT outsourcing partnership style relationship ensuring that the sharing of risks and benefits are realised and conflict is minimised leading to a high quality and ultimately successful partnership between the client organisation and the outsourcing vendor. Furthermore our findings indicate that behavioural commitment to the contractual obligations of an IT outsourcing relationship sustains an ongoing temporal commitment to the partnership between the client organisation and the outsourcing vendor

Transmission losses cost allocation in restructed electricity market environment

During these recent decades, the restructuring system of electricity market has been taken places around the whole world. Due to the restructuring (deregulation), the electrical power system has been divided into three separates categories according to the function. First stage of power system is the generation companies (GENCOs), followed by transmission companies (TRANSCOs) and distribution companies (DISCOs). The competitive environment will be handling by a non-profit entity, independent system operator (ISO) that functioning as the system securities that have to make sure that the power system continues to operate in a stable and economical manner. However, restructuring system can give effect during the energy transmission. One of the transmission issues is regarding the power losses. To overcome the losses, generators must generate more power. The issue regarding the transmission losses in deregulated system is how to allocate it to the user and charge them in fair ways as in for instance the pool trading model, it is hard to trace the power contribution and losses of each user in transmission line. In addition, the users didn’t want to pay the losses, it means that the ISO have to responsible for the losses and it will be unfair to put the responsible to ISO alone. Therefore, in this project, the allocation of transmission losses and loss cost methods which are the pro-rata and proportional sharing method will be investigated. Comparison between those methods will be done in order to identify which types of method that reflect an efficient and fair way to distribute the cost of the transmission losses to the user. These chosen methods will be tested on IEEE bus system

What Turkey expects from logistics outsourcing ?

Copyright @ 2011 Yasar UniversityThe economies of the world have become increasingly interdependent, and organizations have come under tremendous pressure to maximize productivity and profitability. Creating value through outsourcing has emerged as a popular competitive strategy for firms of all sizes in all types of industries. The aim of this research is to investigate the use of third party logistics in Turkish companies from the users’ perspective to identify the types of logistics services outsourced, problems encountered in outsourcing these services, logistics costs, decision makers in outsourcing logistics activities, and information sources used in the decision-making process. A structured survey was selected as the tool for data collection. The field study involved face-to-face interviews with 204 companies out of top 500 companies ranked in terms of turnover that are registered with industrial associations and chambers of commerce in Turkey. Moreover, a decision support system based on Bayesian Causal Map is proposed for 3PLs in order to assist them in their service proposals for different sectors. This study is a first attempt to reveal and compare the outsourcing perception of the companies in different sectors, to expose the firms’ underlying motives as well as the respective importance of these motives for outsourcing logistics activities in Turkey. The use of Bayesian Causal Map based on the survey results provides an important guide to the 3PL providers to pick a suitable strategy and to prioritize their operational activities in different sectors in such a way to achieve a competitive advantage

Outsourcing and externalisation: current practice in UK libraries, museums and archives

A study, funded by Resource: The Council for Museums, Archives and Libraries, was undertaken in 2000-2001 to give an up-to-date view of the current experience of outsourcing and externalisation in libraries, museums and archives. Case studies of purchasers recognised as pioneers in the field, and of providers, were undertaken, and results validated by two focus groups. Outsourcing, particularly under the impetus of Best Value, was found to be relatively widespread and sophisticated in the public library and special library sectors. Thinking and practice in academic libraries lag behind. Museums and archives show some implementation, particularly under the influence of Best Value

Outsourcing and externalisation: current practice in UK libraries, museums and archives

A study, funded by Resource: The Council for Museums, Archives and Libraries, was undertaken in 2000-2001 to give an up-to-date view of the current experience of outsourcing and externalisation in libraries, museums and archives. Case studies of purchasers recognised as pioneers in the field, and of providers, were undertaken, and results validated by two focus groups. Outsourcing, particularly under the impetus of Best Value, was found to be relatively widespread and sophisticated in the public library and special library sectors. Thinking and practice in academic libraries lag behind. Museums and archives show some implementation, particularly under the influence of Best Value

THE MEASURING FRAMEWORK OF OUTSOURCING SUCCESS: A SOCIAL EXCHANGE PERSPECTIVE

Outsourcing has become a buzz word in strategic management as the competition of modern business is the competition among business networks. The reviews on the measure of outsourcing success are conceptually fragmented due to different theories that have been applied in different studies. The overall aim of this paper is to develop an integrated framework in measuring the performance of services outsourcing. The framework is derived from Social Exchange Theory. Each party responsibility in dyadic relationship over outsourcing success is examined. This is followed by the identification of the mediating effect of compatibility between partners, and moderating effect of partnership quality to the aforementioned relationship. Outsourcing performance is proposed to be evaluated from the perspectives of tactical, strategic and behavioral dimensionsBuyer related factors, Compatibility, Outsourcing, and Partnership quality, Services ,Supplier related factors

Internet of things security implementation using blockchain for wireless technology

Blockchain is a new security system which group many data into a block or so called classifying the data into a block. The block can have many types and each of them content data and security code. By using a decentralize mechanism, one security code protect all the data. That could happen at the server. In this research, a network of wireless sensor technology is proposed. The transmission of sensor data is via the Internet of things (Internet of Thing) technology. As many data transmitted, they have to classified and group them into a block. All the blocks are then send to the central processing unit, like a microcontroller. The block of data is then processed, identified and encrypted before send over the internet network. At the receiver, a GUI or Apps is developed to open and view the data. The Apps or GUI have an encrypted data or security code. User must key in the password before they can view the data. The password used by the end user at the Apps or GUI must be equivalent to the one encrypted at the sensor nodes. This is to satisfy the decentralized concept used in the Blockchain. To demonstrate the Blockchain technology applied to the wireless sensor network, a MATLAB Simulink function is used. The expected results should show a number of block of data in cryptography manner and chain together. The two set of data. Both have the data encrypted using hash. The black dots indicate the data has been encrypted whereas the white dot indicate indicates the data is not encrypted. The half white and half black indicates the data is in progress of encrypted. All this data should arrange in cryptography order and chain together in a vertical line. A protocol called block and chain group the data into the block and then chain then. The data appears in the blocks and send over the network. As seen in the simulation results, the yellow color represents the user data. This data has a default amplitude as 1 or 5. The data is chained and blocked to produce the Blockchain waveform Keywords: Blockchain, Internet of things, Wireless Sensor Network and MATLAB Simulin