Search results

It is widely accepted that the use of information and communication technology (ICT) in the healthcare sector offers great potential for improving the quality of services provided, the efficiency and effectiveness of personnel, and also reducing organizational expenses. This paper seeks to examine various hospital information system (HIS) evaluation methods.

In this paper a comprehensive search of the literature concerning the evaluation of complex health information systems is conducted and used to generate a synthesis of the literature around evaluation efforts in this field. Three approaches for evaluating hospital information systems are presented – user satisfaction, usage, and economic evaluation.

The main results are that during the past decade, computers and information systems, as well as their resultant products, have pervaded hospitals worldwide. Unfortunately, methodologies to measure the various impacts of these systems have not evolved at the same pace. To summarize, measurement of users' satisfaction with information systems may be the most effective evaluation method in comparison with the rest of the methods presented.

The methodologies, taxonomies and concepts presented in this paper could benefit researchers and practitioners in the evaluation of HISs.

This review points out the need for more thorough evaluations of HISs that look at a wide range of factors that can affect the relative success or failure of these systems.

Companies are increasingly implementing business process management systems (BPMSs) to support their processes. However, there is a gap in the literature regarding whether users also use BPMSs to manage the knowledge needed for processes to be completed. This study aims to analyze the factors that cause users to use BPMSs to manage the knowledge required in business processes.

The paper proposes an original model that integrates two successful information system models applied to BPMSs and knowledge management systems. To test the hypotheses derived from this new model, data were collected from 242 mature BPMS users from 12 Spanish and Latin American companies. Structural equation modeling with AMOS was used to examine the model.

Users’ perceived usefulness of a BPMS when using it for knowledge management (KM) is the only factor influencing them to use it for KM.

This study has practical implications for managers wishing to successfully implement a BPMS to support processes and for employees to use the knowledge embedded in the tool. The latter will only happen if users perceive the tool’s usefulness for KM.

To the best of the authors’ knowledge, this model is the first empirically validated model to successfully analyze BPMS users’ tendency to use BPMSs as a tool to support necessary KM in processes.

Traditional definitions of decision support systems emphasise their support role in individual decision making and utilise notions of rational choice. By considering decisions as an organisational activity, the interpretation of decision support systems use in organisations can move beyond this technical rational understanding, to include potential political and legitimating roles for these systems. These three possible interpretations are discussed in relation to the implementation of a large decision support system in a local government context described by Dutton (1981). In its technical role, the system was used as part of a rational planning agenda. However, the system was clearly also used politically, to promote particular interests and as a lever in negotiations between various groups. Part of the appeal of the decision support system was the appearance of rationality and technical neutrality that it gave to the planning and decision making process, and the legitimation it provided with external constituents. The paper concludes that an unquestioning acceptance of the technical received view of decision support system use is limiting, and that a more reflective approach to their development, implementation and use is required.

This study aims to investigate the effects of organizational culture factors on the selection of software process development models and develops a conceptual model for selecting and adopting process development models with an organizational culture approach, using 12 criteria and their sub-criteria defined in Fey and Denison’s model (12 criteria).

The research hypotheses were investigated using statistical analysis, and then the criteria and sub-criteria were selected based on Fey and Denison’s model and the experts’ viewpoints. Afterward, the organizational culture of the selected company was measured using the data from 2016 and 2017, based on Fey and Denison’s questionnaire. Due to the correlation between the criteria, using the decision-making trial and evaluation technique, the correlation between sub-criteria were determined, and by analytical network process method and using Super-Decision software, the process development model was preferred to the 12 common models in information systems development.

Results indicated a significant and positive effect of organizational culture factors (except the core values factor) on the selection of development models. Also, by changing the value of organizational culture, the selected process development model changed either. Sensitivity analysis performed on the sub-criteria implied that by changing and improving some sub-criteria, the organization will be ready and willing to use the agile or risk-based models such as spiral and win-win models. Concerning units where the mentioned indicators were at moderate and low limits, models such as waterfall, V-shaped and incremental worked more appropriately.

While many studies were performed in comparing development models and investigating their strengths and weaknesses, and the impact of organizational culture on the success of information technology projects, literature indicated that the impact of organizational sub-culture prevailing in the selection of development process models has not been investigated. In this study, new factors and indicators were addressed affecting the selection of development models with a focus on organizational culture. Correlation among the factors and indicators was also investigated and, finally, a conceptual model was proposed for proper adoption of the models and methodologies of system development.

This study aims to examine the effect of task and technology characteristics on the compatibility of technology and tasks, as well as examine the reciprocal effect between the task-technology fit and the use of information systems.

The study took place in 36 star hotels from one-star to four-star hotels in some cities and districts in South Kalimantan Province. There were 24 hotels in Banjarmasin, 7 hotels in Banjarbaru and 1 hotel in each area of Banjar, Tanah Bumbu, Tabalong, Hulu Sungai Utara and Barito Kuala. The hotels chosen were those implemented the information and communication technology as supporting administrative activities to serve hotel customers. The population was the front office staff in the existing hotels as the users of the information technology. The sampling technique used in this research was the questionnaire distribution in accordance with the number of population. Data were collected from the filled questionnaires. From the 239distributed questionnaires, 164 (68.62 per cent) were returned and used as the research data.

Task characteristics and technology characteristics have a significant and positive effect on task-technology fit, in which the higher the task characteristics and technology characteristics, the higher the task-technology fit. The task-technology fit and the use of information systems are positive and reciprocal. This means that the higher the task-technology fit, the higher the use of information systems.

The originality of this study is reciprocal relationship between the variables of use with the task-technology fit. Some researchers have found the compatibility of technological tasks affecting the use of information systems, namely, Lin and Huang (2008), Norzaidi and Salwani (2009), Larsen et al. (2009), McGill and Klobas (2009), D’Ambra and Wilson (2013), Im (2014) and Chang et al. (2015). On the other hand, in task-technology fit theory, Goodhue and Thompson (1995) state that use affects the task-technology fit.

The purpose of this paper is to explore what information systems are used within the data center industry and to develop a data center information systems classification framework for facilitating the investigation of the dimensions, operational characteristics, and value attributes of the data center information systems.

A preliminary data center information systems classification framework is proposed based on a comprehensive review of existing information systems research. A case study of five data centers in Australia and a review of the practitioner literature in data centers are conducted. An open coding method is adopted for facilitating the analysis of the data using existing content analysis techniques.

In total, 19 different types of data center information systems are identified in data centers. These information systems are being used for managing the information technology and the facility infrastructure in the data center and for improving the agility, the operational and cost performance, as well as the environmental footprint of individual data centers.

The paper builds a data center information systems classification framework to examine the role, portfolio, managerial function, and utilization of data center information systems. Such a classification would provide a foundation for further investigating the adoption of various information systems in data centers towards the continuous pursuit of sustainability development from different perspectives.

The paper provides data center managers with recent trends and issues regarding the adoption of information systems in data centers to manage their operations. It offers data center management a valuable means for exploring innovative ways of effectively adopting various technologies to improve their performance.

Given that there is limited research on what and how information systems are used in data centers, the paper can be viewed as one of the few data center information systems investigations that provide a good comprehension of what information systems are used and what the value drivers are with respect to the use of information systems in data centers.

This study aims to propose a new model by incorporating information system success model (ISSM) into technology acceptance model (TAM) with an “attitude toward using” as the connection variable. The new model is then adopted to analyse and investigate empirical data and develop relevant factors, which affect the personal usage behaviour and net benefits for National Central Library in Taiwan to enhance digital library services. The research results can benefit future establishment and design of library information system or improvement of website service procedures.

This study selected National Central Library Taiwan Digital Meta-Library as the research theme, and used stratified convenience sampling to perform interviews in various colleges and universities in the southern Taiwan. A total of 264 valid questionnaires were returned, and this study used structural equation modelling (SEM) to perform analyses.

The results reveal that attitude toward using is significantly and positively affected by perceived usefulness, perceived ease of use and user satisfaction. However, service quality of information system and personal net benefits do not have a significant and positive effect on attitude toward using, while they have an indirect and significant effect on attitude toward using through user satisfaction. Based on the results above, “user satisfaction” is the critical factor affecting the attitude toward using. Therefore, to strengthen users’ positive attitude toward using, the factor of user satisfaction is a key for enhancing digital library service.

This study constructed the “New Technology Information Assessment Model” as the reference for improving practical assessment. Moreover, this study also proposed the suggestions concerning digital library information services.

A key area affecting library management is the effective and efficient management and development of information systems. The concept of an information systems development methodology (ISDM) is a management approach that has been virtually ignored in the context of library management. Provides a critique of the literature relating to ISDMs with a view to exploring their use by libraries in the future. Examines the historical development of ISDMs, followed by a definition of the term, and an outline of the requirements for ISDM. Subsequently discusses themes in information systems development in relation to the main types of ISDM associated with them, leading to a consideration of the problems with ISDMs and with their usage. Outlines the need for the further refinement of ISDMs in the light of these problems. Finally, suggests theoretical reasons for the use of ISDMs by library managers.

While most e-commerce studies focus on the understanding of online customer behaviour, mainly adoption and purchase behaviours. The purpose of this paper is to examine the relationship between e-commerce and individual performance. The authors test the role of systems, information and service quality in e-commerce use and user satisfaction. Trust may become an important aspect for a consumer’s decision making, based on this the authors identify the effect of the role of trust on e-commerce use, user satisfaction and its impact on individual performance. This research has theoretical and managerial implications, since the protagonism of e-commerce is increasing in both academia and industry.

The authors apply a research model that integrates information systems success dimensions and user behaviour in the form of trust. The empirical approach was based on an online survey questionnaire of 437 individuals from Portugal.

The results reveal that overall quality and overall trust are important to explain use and user satisfaction in the context of e-commerce, which further leads to individual performance. The findings indicate that a higher level of use and user satisfaction increase individual performance.

The authors integrate information systems success dimensions and overall trust to understand the significance of e-commerce individual performance. The authors expect the results to enrich the understanding of the importance of considering both technological and behavioural factors to increase the success of e-commerce.

Find out how the employees’ performance on the implementation of the hotel reservation information system. Therefore, this paper aims to examine the effect of the task-technology fit (TTF) on the use of information systems, as well as its effect on user performance and satisfaction.

This research type is explanatory research. In explanatory research, the aim is to provide an explanation related to the causal relationship between variables and hypothesis testing. The unit of analysis adopted in this study is the individual of the front office employees who use the star hotel reservation information system in South Kalimantan Province (the population is 239, and the taken are 150 samples, based on the number of indicators multiplied 5).

The higher the TTF, the higher the level of using information systems. The higher the use level of information systems, the higher the information systems user performance and vice versa in which the higher the user’s performance, the more increase the use of information systems. On the other hand, this study found that the use of information systems and user performance has no significant effect on user satisfaction.

The novelty in this study is shown in the influence between performance variables on the usage and the usage variables on the users’ performance. This study examines the importance of reciprocal usage and user performance relationships based on previous research studies that examine the relationship and that information technology (IT) usage will affect user performance. In addition, the users’ performance will affect the users’ behavior in using IT.