Examining Quality Factors Influencing the Success of Data Warehouse

Increased organizational dependence on data warehouse (DW) systems has drived the management attention towards improving data warehouse systems to a success. However, the successful implementation rate of the data warehouse systems is low and many firms do not achieve intended goals. A recent study shows that improves and evaluates data warehouse success is one of the top concerns facing IT/DW executives. Nevertheless, there is a lack of research that addresses the issue of the data warehouse systems success. In addition, it is important for organizations to learn about quality needs to be emphasized before the actual data warehouse is built. It is also important to determine what aspects of data warehouse systems success are critical to organizations to help IT/DW executives to devise effective data warehouse success improvement strategies. Therefore, the purpose of this study is to further the understanding of the factors which are critical to evaluate the success of data warehouse systems. The study attempted to develop a comprehensive model for the success of data warehouse systems by adapting the updated DeLone and McLean IS Success Model. Researcher models the relationship between the quality factors on the one side and the net benefits of data warehouse on the other side. This study used quantitative method to test the research hypotheses by survey data. The data were collected by using a web-based survey. The sample consisted of 244 members of The Data Warehouse Institution (TDWI) working in variety industries around the world. The questionnaire measured six independent variables and one dependent variable. The independent variables were meant to measure system quality, information quality, service quality, relationship quality, user quality, and business quality. The dependent variable was meant to measure the net benefits of data warehouse systems. Analysis using descriptive analysis, factor analysis, correlation analysis and regression analysis resulted in the support of all hypotheses. The research results indicated that there are statistically positive causal relationship between each quality factors and the net benefits of the data warehouse systems. These results imply that the net benefits of the data warehouse systems increases when the overall qualities were increased. Yet, little thought seems to have been given to what the data warehouse success is, what is necessary to achieve the success of data warehouse, and what benefits can be realistically expected. Therefore, it appears nearly certain and plausible that the way data warehouse systems success is implemented in the future could be changed

An Exploratory Investigation of System Success Factors in Data Warehousing

Despite the increasing role of the data warehouse as a strategic information source for decision makers, academic research has been lacking, especially from an organizational perspective. An exploratory study was conducted to improve general understanding of data warehousing issues from the perspective of IS success. For this, the effect of variables pertaining to system quality, information quality, and service quality on user satisfaction for the data warehouse was studied. Additional characterization was made on data warehouse users, their organizational tasks, and data warehouse usage. Empirical data were gathered at a large enterprise from three different information sources: a survey, unstructured group interviews with end-users, and informal interviews with an IT manager who was in charge of the data warehouse. Data analysis showed that user satisfaction with the data warehouse was significantly affected by such system quality factors as data quality, data locatability, and system throughput. Interviews also supported the existence of system design and management issues that have to be addressed to optimize the utility of the data warehouse as an effective decision support environment. In the meantime, data analysis indicated that first-line (or lower) and middle managers were the main users of the system. Managers and knowledge workers were taking advantage of the system to perform complex tasks, to support decision making, and to seek information critical for enhanced productivity. The group interviews revealed additional benefits of the data warehouse and major roadblocks in its successful usage

Content Versus Structure in Information Environments: A Longitudinal Analysis of Website Preferences

From the prospective traveler surfing the web for cheap vacations to executives analyzing market trends with a data warehouse, at home and at work, people are confronted with increasingly richer information environments. This study is an attempt at modeling the behavior over time of the “information consumer” (web surfer or executive) in such environments. The objective is to gain a better understanding of how to design the technologies that support and enhance the interaction with these information environments. Two key design variables for information environments are examined: content quality and structural quality. Drawing on research in human-computer interaction and ecological psychology, a behavioral model is developed in which it is postulated that the importance of structural quality will diminish with time, whereas content quality will increaseinimportance. Atwo-stagemethodologyisemployedwhichcombinesalongitudinalexperimentwith a cross-sectional survey. Both the survey and experiment are conducted in the context of informational websites. The experiment provided 178 undergraduates with repeated exposure over several weeks to eight custom-built websites, manipulated to vary in content quality and structural quality for which their preferences (and associated rationales) were elicited at three time points over the course of the experiment. Additionally, 163 of the undergraduates also completed a survey providing data about the effect of content and structure on usage behavior for sites for which they had mature experience. Preliminary results of the experimental data support the hypotheses. The research has potentially significant implications for the design of information environments

East Midlands strategic distribution study

This study assesses the importance of the logistics sector to the economy of the East Midlands and provides an understanding of land requirements and demand for sites from logistics companies in the region in the short, medium and long term

Identify the HR factors that affect employee turnover in MasterHouse restaurant.

For organisations that seek reduction in employee turnover, it is crucial to identify which specific factors have the greatest impact on the staff turnover rate of the organisation. Similarly, after identifying influencing factors, it is also very important to formulate HR processes and policies based on the actual situation of the organisation. The aim of this research is to identify the HR factors that affect employee turnover rate in MasterHouse restaurant. High employee turnover rate will affect the performance of the organisation’s employees and the decline of daily functions, it will also increase the cost of organisation recruitment on-boarding and training. The purpose of this research is to identify the specific factors that affect employee turnover in MasterHouse and develop a practical plan for MasterHouse restaurant to improve employee loyalty and reduce employee turnover through the organisation’s human resources processes and policies. This research will lead to an understanding of the factors affecting the turnover rate of MasterHouse through secondary research, then researchers will collect data through quantitative research, and develop a strategic plan for MasterHouse to reduce employee turnover. The researcher will use questionnaires to investigate the HR strategies of MasterHouse and employees’ views on MasterHouse current HR process and policies. This research will involve five factors that affect employee turnover rate: Long-term relationships, benchmark, work-life balance, talent management, rewards and motivation. The researcher then connected and compared survey results with information in the literature and developed a practical plan for MasterHouse to reduce employee turnover rate

Keeping profits in New Zealand

The tourism industry is the second biggest for New Zealand and is expected to regain the top spot if current, exponential growth continues. Online travel agencies (OTAs) such as those owned by Expedia Inc. and Booking Holdings Inc. facilitate this boom by encouraging travellers to visit beautiful locations, but are taking huge chunks of this income away from the local Gross-Domestic Product (GDP) in the commission they charge on every night of accommodation booked. One of the largest consumers of New Zealand’s tourism industry is Chinese nationals. This study looks at feasibility of a small player developing an app in a market full of large corporates that are dominating the playing field. The primary research used mixed methods and sought to reach 120 questionnaire respondents and 10 interview participants which uncovered thoughts on stakeholders on either side of the discussion, the China-based potential customers and the New Zealand-based accommodation providers. Preliminary results indicate that Chinese nationals are often likely to conduct thorough research when making decisions about international travel and a large portion are enthused about the prospect of regular international travel. Accommodation providers in New Zealand are rarely hesitant to support a local OTA as they are often frustrated with the poor service received from the large corporates. Developing an app that is based in China and attempts to market the New Zealand tourism industry will be a difficult proposition but is plausible with the implementation of a marketing plan that is strategically thought out

To find a better way of training and development for a small retail business in the health product industry

This research is aimed at finding out how to bring a better training and development process to a small retail business in the health product industry to increase the effectiveness of employees' performance. The study was carried out at Dekang Nutrition Ltd. Currently，it has set up three physical stores in Rototuna, Hamilton. Dekang also has a 300-square-metre warehouse and delivery centre at Te Rapa, and operates two sales platforms online. This research uses qualitative methods. The primary qualitative method that used is interview. The study found out that the type of training needed to be changed, as the current training system is not enough for employees to keep up with rapid changes in the external environment. It also provides an insight into the lack of systematic follow up. The study recommends Dekang to have a mentoring/buddy system for training and to develop an evaluation system for employees to have a clear idea of their own performance in a timely manner. Also, the study recommends that Dekang have a clear career pathway to help employees improve

Measuring level of satisfaction

Customers are the ones to judge their level of satisfaction. Now times have changed and organisations have realized the value of retaining customers. This project is about knowing the level of customer satisfaction in a dairy shop, Melville Price Cutter, situated at 17 Bader Street, Hamilton. The information was gained by doing a survey of 50 customers who came to the dairy. Results obtained from this survey showed that most of the customers visited the dairy twice a week. 35% of the surveyed people were visiting the shop twice a week. When asked why they visit the dairy for shopping, the majority answer was time and location. 40% of the customers thought going to the dairy was time saving or should be very quick. 30% used the dairy for shopping because of its location. Customers preferred the nearest location to shop at a dairy. The results showed that customers who came to the dairy were always in hurry. They did not have time to go to supermarkets, so they expected to get quick service from the dairy. Customer felt happy when they were served quickly and they did not have to be in a queue. They liked deals where they could take advantage of cheap prices