The primary purpose of the research is to examine and validate determinants of user intention to use AutoCAD software, utilising the constructs from prior studies in a more integrated model. The paper proposes a revised Technology Acceptance Model (TAM) for measuring the adoption of AutoCAD. In the study, a latent construct PPA (perceived physical accessibility) was added to the proposed research model as a new determinant of AutoCAD adoption. An online survey of AutoCAD users was conducted to collect data. This data was empirically used to test the proposed research model. The Structural Equation Modelling (SEM) technique was used to evaluate the causal model, and the confirmatory factor analysis was performed to examine the reliability and validity of the measurement model. The study results show that user behavioural intention to use AutoCAD is significantly affected by three determinants: perceived usefulness, perceived ease of use and perceived physical accessibility of the software. This finding contributes to an expanded understanding of the factors that promote acceptance of AutoCAD software. Moreover, the main contribution of this study is to verify the impact of the added PPA variable on the behavioural intention to use and the actual use of AutoCAD, and also to create measurement scales for this new latent variable in TAM.
Determining the competencies required for engineering programmes has become important due to the increasing challenges faced by engineers after graduation and the tremendous development in technology. This research aims to identify the general competencies that fresh graduate students of engineering schools in Jordan believe they need to become competent and effective in their profession as engineers. This study was the first of its kind with students as respondents, and it was the first study of this kind in Jordan. Competencies were collected from a previous study with 48 competencies split into 11 groups. A questionnaire was prepared with these competencies, then rated for the degree of importance by answering “What engineering competencies graduates will require for their future work in Jordan?” The study showed that all competencies were vital, including technical, personal, non-technical and attitudinal competencies. This study will help to link the outputs of university education provided by engineering departments with market needs as well as to harmonise study programmes offered by Jordanian universities. Also, the research outputs are expected to facilitate the transition process of students from one university to another. The empirically identified competencies could be used to help assess different engineering study programmes in Jordan.
The literature on product variety provides great insights into various businesses. However, little research has been conducted on product variety in the healthcare industry. This study aims to explore the influence of product variety on inventory in hospitals. Since most hospitals are known to replenish products using a homegrown ad-hoc system, a model is developed for exploring all possible product combinations and substitutions. This article presents the behaviour of product substitution, which may be either one-to-one or many-to-one for both sterile and non-sterile products, in the hospital with cost factors. It discusses the product variety reduction and its corresponding cost impacts. The data on a hospital inventory over the course of six years has been procured from a hospital in Norway. Based on the results, the hospital could have a potential product variety reduction of approximately 11% and cost savings from the spending of approximately NOK 3.6 million. Reducing the variety of products in hospital inventories proves to be an approach to reducing costs. The model developed for the research is universal in nature and could be used in other fields, such as retail, marketing etc.
Hospitals are the most important and costly component of the healthcare system. Therefore, hospital performance evaluation (HPE) is an important issue for the managers of these centres. This paper presents a new approach for HPE that can be used to calculate the efficiency, effectiveness, and productivity of hospitals simultaneously. Efficiency refers to the ratio of inputs and outputs, effectiveness refers to the extent to which outputs align with predetermined goals, and productivity refers to the sum of both efficiency and effectiveness. To this end, a Data Envelopment Analysis (DEA) model is developed to simultaneously measure the efficiency, effectiveness, and productivity (DEA-EEP) of hospitals. DEA is a linear programming technique that in its traditional form, calculates the performance of similar decision-making units (DMUs) that have both inputs and outputs. In this study, the inputs are the number of health workers, the number of other staff, and the number of patient beds; while the outputs are the bed occupancy rate and the bed turnover rate. A target value is set for each output to measure the effectiveness of hospitals. The advantage of the developed model is the ability to provide a solution for non-productive units so that they can improve their performance by changing their inputs and outputs. In the case study, data of 11 hospitals in Tehran were evaluated for a 3-year period. Based on the results, some hospitals experienced an upward trend in the period, but the efficiency, effectiveness, and productivity scores of most hospitals fluctuated and did not have a growing trend. This indicates that although most hospitals sought to improve the quality of their services, they needed to take more serious steps.
Servitization in developed countries is an increasingly popular strategy for building a competitive advantage. Its level varies depending on different market conditions as well as between sectors. The Polish economy is that of a developed country, but still, its level of development is slightly lower compared to the most developed countries. The current state of knowledge indicates that the machinery manufacturing sector usually characterises the highest level of servitization in comparison to other manufacturing sectors. To the author’s knowledge, no study on the servitization of Polish manufacturing companies has been conducted. Therefore, the main objective of this paper is to fill the gap by analysing and evaluating the level of servitization in manufacturing companies operating in the Polish market. Aiming to assess whether the Polish manufacturers follow the global trends of servitization, the questionnaire survey was conducted with 150 machinery manufacturers operating in the Polish market. The survey was performed using the Computer-Assisted Telephone Interviewing (CATI) technique between May and July of 2018. The results showed that in surveyed companies, the level of servitization, which was assessed based on a range of the most frequently provided services, was rather low. Although most manufacturers offer services to their customers, these services mostly support their products, and the revenue derived from the services constitutes a comparatively small part of the company’s total revenue. This paper makes two types of contribution to the development of research in the field of servitization. First, the study on the servitization of the Polish manufacturing companies revealed that in a country with the well-developed economy, industrial enterprises still rely on manufacturing rather than service delivery. And the potential for services is not yet recognised. Secondly, the original model for classifying the level of product and service integration in the activity of a manufacturing company is proposed. The model requires empirical verification and further studies. Nevertheless, it stands for a theoretical contribution to the research field of servitization.
The current research study aimed to explore the utility of selected problem-solving tools and techniques in root-cause analysis to demonstrate their practical application. An experimental research design adopting a positivist empirical approach with a deductive strategy was followed to assess the effectiveness of a combined (8D & Six Sigma) problem-solving approach in reducing a high defects rate of a mixer shower assembly line. A novel application of the 8D framework in combination with Six Sigma and other analytical tools was found highly effective in reducing the reject rate from 11.84% to 0.11%. Successful identification of the root cause led to the implementation of permanent corrective action ensuring a long-term stable assembly process. The research study provided a problem-solving framework that was found effective in resolving a complex problem and implementing long-term corrective action in an assembly production line. However, this framework can be used in other industries. The research study provides a solution to a high number of leak rejects in a sub-assembly where "O-seals" are used between mating parts. It also provides analytical tools that were found highly effective during the problem-solving process.
There is an increasing focus on bridging human behaviour and attitudes towards sustainability. This article focuses on the factors that influence sustainable behaviour of working people. Based on a systematic and comparative analysis of scientific literature, the authors of the paper present the theoretical conceptual model, which illustrates sustainable behaviour. The aim of the empirical research is to examine how employees relate to sustainable behaviour across generations, genders and different modes of education through economic, environmental and social domains. A quantitative method in the form of a survey was selected to capture individual employee attitudes and actions regarding sustainable behaviour. A total of 412 complete responses from Lithuanian employees were used for data analysis. The results of empirical research revealed a significant relationship between gender, generation and education, and sustainable employee behaviour.
Business management is a continuous decision-making process. It is difficult to imagine a company that does not use forecasting techniques. Even small enterprises without relevant forecasting departments more or less consciously anticipate future events, forecasting the volume of production and setting directions for development. Today’s production companies must quickly adapt to changing customer requirements, implementing structural and technological changes and delivering projects related to the production of new products. Under the dynamically changing conditions, the functioning and effective management of modern enterprises depend on future-oriented information. This increases the validity of forecasting. This article aimed to identify forecasting methods and areas of their use in production engineering. The publications on this subject were reviewed in the Scopus database, using the time frame from January 1970 to June 2018. An original classification of research subareas was created using VOS viewer software, and then, a bibliometric map was developed to visualise the results of the word coexistence analysis. The analysis of the co-occurrence and co-classification of words made it possible to indicate research subareas of forecasting in production engineering and related emerging research areas and issues.
The study aims to assess transport systems in terms of ISO 37120 indicators in selected European cities. Using the principal components analysis, the research identified significantly correlated variables associated with urban transport. Three principal components explained almost 87% of input data variability. The first principal component was mainly related to transportation fatalities, the second component — to the length of bicycle paths, and the third component — to the length of the network used by light passenger public transport. A strong correlation was found between the length of high capacity public transport and transportation fatalities. Furthermore, the analysis proved that the Aalter transport system was an outlier. The paper concludes by identifying several recommendations on the improvement of urban transport management and the development of low-carbon mobility systems.
This article aims to examine the effects of new technology on the purchase of regional brands in Czechia and draw conclusions that will help to adapt the brands to customer needs. Regional brands are a speciality of Central Europe, which emerged due to consumer dissatisfaction with low-quality of global retail products. These traditional local handmade products are heavily influenced by new technology and customers requiring them to be purchasable online with a massive online presence. The sample consisted of 1050 residents of the Czech Republic. The data were gathered by a professional marketing agency Ipsos using a questionnaire survey. The sample was tested using the one-way Chi-square test, which had good compliance to test the basic sample characteristics, followed with the one-sample Kolmogorov-Smirnov test to test the data distribution, and then, the dependencies were tested with the Kruskal-Wallis test. Finally, a post-hoc test suitable for the type of analysis could be chosen to better understand the type of factors that could influence the results and their possible effect. The main findings indicate a slow change in the demand as customers are neutral in relation to regional brands available from online shops as well as their about social media presence but require them to have a good-quality website. Solutions are proposed using a government-run brand with a platform providing web layouts and hybrid e-shop. The type of content is proposed, indicating the appropriate execution, which should be done based on the researched-derived segmentation criteria.