Information quality life cycle in secondary use of EHR data

The paper argues that existing research on information quality (IQ) mainly focuses on the primary use of electronic health record (EHR) data, whereas IQ in secondary use of EHR data needs further deliberation. The current view of IQ in a healthcare context is static. It assumes that once the EHR system generates the infor- mation product, individual users may act on the information based on their subjective perception of its quality. However, this view ignores the complexities of secondary use of EHR data, in which users are actively involved in (re)generating and communicating the information product. Thus, IQ does not remain static but keeps on transforming through active engagement and interpersonal communication. To contribute to this debate, we conducted a qualitative case study in a Norwegian healthcare context by employing an IQ life cycle model. In conclusion, we enhanced the existing IQ model by (1) adding interpersonal communication, (2) showing the interrelations of the IQ dimensions, and (3) integrating the mechanisms of the transformation process for IQ in secondary use of EHR data. In doing so, we unfold the dynamics of IQ in the secondary use of EHR data.publishedVersio

Service quality, citizen satisfaction, and loyalty with self-service delivery options to transforming e-government services

With the growing recognition of the citizen\u27s role in service demand and self-service delivery, there is an increased impetus on building citizen satisfaction and loyalty with government\u27s e-services. With the global trend in transforming government services through e-government, research on citizen interactions with web-based selfservice delivery options has been recently emerging in IS and e-government literatures. This study aims to contribute to post-adoption research by developing a model of citizen loyalty with government online self-service delivery options. We empirically test the proposed model through an analysis of 402 survey data collected from Saudi citizens/users of e-government transactional services. Multiple regression analysis results provide evidence that, as hypothesized, service quality and citizen satisfaction explain citizen loyalty with e-government services. We also find a moderating effect of citizen characteristics - age and education - on the strength of the model\u27s two hypothesized relationships between service quality and loyalty and between citizen satisfaction and loyalty

Service Quality, Citizen Satisfaction, and Loyalty with Self-Service Delivery Options: A Strategic Imperative for Transforming E-Government Services

With the growing recognition of the citizen’s role in service demand and self-service delivery, there is an increased impetus on building citizen satisfaction and loyalty with government’s e-services. With the global trend in transforming government services through e-government, research on citizen interactions with web-based self-service delivery options has been recently emerging in IS and e-government literatures. This study aims to contribute to post-adoption research by developing a model of citizen loyalty with government online self-service delivery options. We empirically test the proposed model through an analysis of 402 survey responses collected from Saudi citizens/users of e-government transactional services. Liner multiple regression analysis results find evidence that, as hypothesized, service quality and citizen satisfaction explain citizen loyalty with e-government services. They also find the moderating effect of citizen characteristics – age and education – on the strength of the model’s hypothesized relationships between service quality and loyalty and between citizen satisfaction and loyalty

Information quality and diverse information systems situations

Information quality is a recurring problem that many organisations contend with. Despite investment in both technology, and the renement of information systems, the problem persists. Information systems deployment has; in recent years undergone radical change; the traditional deployment where the architecture, user and access device were known at the time of development, have been replaced by more diverse situations. These diverse situations include web interfaces, traditional client server and a mobile devices revolution. The aim of our research is to improve information quality assessment by catering for diverse information systems situations by the design and construction of a method. Several information quality frameworks have been developed to cater for these new and evolving information systems. The expansion of frameworks across a large number of domains presents problems with respect to: framework choice, appropriateness, validity and users perceptions of information quality. Through the application of gap analysis techniques, experiments and domain expertise the method has the potential to provide additional knowledge for information systems' stakeholders. Our method contributes to information quality as a eld of research by allowing for renement of the application of information quality frameworks for diverse information systems situations and also provides the basis for consolidation of information quality frameworks

The impact of supply chain relationships and automatic data communication and registration on forecast information quality

Purpose – The purpose of this paper is to explain the effects of the customer-supplier relationship and of automatic forecast data communication and registration on the perceived information quality of forecasts. Design/methodology/approach – A conceptual model and three hypotheses are derived. The empirical analysis is based on survey data from 219 Swedish manufacturing companies. Findings – Findings show that the customer-supplier relationship and automatic data communication and registration have significant impact on the perceived quality of forecast information received from a downstream customer in the supply chain. The reliability and timeliness of the forecast information are affected to about the same extent byboth the relationship type andthe data communication andregistration strategy. Credibility is correlated with the relationship type, while the completeness, validity and conciseness of the received forecast are operative issues dependingmainly on the communication strategy. Research limitations/implications – Using single informants, focal customers and some single-item constructs in research design. Practical implications – The paper explains how various dimensions of forecast information quality are affected by different factors, thus guiding how to differentiate information quality improvement work in diverse situations. Originality/value – Detailed empirical studies of supply chain information exchange, especially focusing on explaining causes of high-quality information exchange, are lacking in the literature and demanded in industry

Understanding the mobile hospitality services adoption: A UTAUT2 and perceived value application in a hotel consumer context

Com o intuito de atrair os novos utilizadores de tecnologias moveis, algumas cadeias hoteleiras começaram a lançar Serviços Moveis Hoteleiros (SMH). Os SMH, referem-se ao uso de telemóveis como ferramentas de acesso e compra de serviços hoteleiros. Através de aplicações para telemóvel, os hóspedes podem ter acesso a serviços como reserva de quartos, check-in/out, concierge, serviço de quartos e de limpeza. OS SMH permitem aos hóspedes acederem aos serviços dos hotéis de forma rápida, onde e quando quiserem, apenas precisando de uma ligação à internet para desempenharem essas tarefas. Sendo que, a aceitação dos SMH pelos utilizadores é crucial para o sucesso da implementação destes sistemas, é imperioso para os profissionais e académicos, compreenderem os factores que influenciam a adopção dos SMH. Foi então desenvolvido um modelo conceptual que combina a extensão da teoria unificada de aceitação e uso da tecnologia (UTAUT2) com o factor de valor percepcionado, com vista a explicar a intenção de uso e recomendação dos SMH. Para testar o modelo conceitual foram reunidos dados de 348 casos validados, e observou-se que o modelo explica 62 por cento da variação na intenção de uso dos SMH, e 51 por cento da variação na recomendação. Os resultados suportam que a expectativa de performance, expectativa de esforço, condições facilitadoras e o factor valor percepcionado explicam a intenção de uso dos SMH. Por sua vez, a recomendação dos SMH é influenciada pela intenção de uso e pelo factor de valor percepcionadas. As implicações teórico-práticas dos nossos resultados são discutidas.In order to attract new consumers, stay competitive, and increase revenues, some hospitality corporations have started to launch Mobile Hospitality Services (MHS). MHS refer to using cell phones as a tool to access, request, and buy services related to hotels. For this reason we developed a conceptual model that combines the extension of unified theory of acceptance and use of technology (UTAUT2) with perceived value to explain behavior intention and recommendation of MHS. To test the conceptual model we collected data from 348 cases, and found that the model explains 62 percent of the variation in behavior intention to use MHS, and 51 percent of the variation in recommendation. Our findings support the belief that performance expectancy, effort expectancy, facilitating conditions, and perceived value explain behavior intention of MHS. Recommendation of MHS is explained by behavioral intention and perceived value. Theoretical and managerial implications of our results are discussed

Information provision and retrieval in the farming industry in Western Australia

Agricultural information dissemination to farmers has been studied extensively. However, farmers preferred methods of delivery has not been investigated thoroughly within a Western Australia (WA) context. Availability of different information delivery channels have led to the overwhelming and overlapping of information available to farmers. As a consequence, the type of information required by WA farmers should be considered as knowing information needs could allow farmers to access relevant, concise and timely agricultural information. To answer the research questions, a survey was designed, using Likert-scale, close ended and open ended questions techniques, enabling qualitative and quantitative data analysis. The study‘s findings are relevant to agricultural information providers, government and public agencies, and other researchers who work in the agricultural and farming industries in Western Australia, and Australia

Information Quality in Secondary Use of EHR Data : A Case Study of Quality Management in a Norwegian Hospital

The motivation for undertaking this study relates to my experiences from practice in a public hospital, where I have observed variations in reaching organizational goals of quality management informed by electronic health records (EHR) data. For example, while some departments and units have long-time traditions in meeting the quality goals that are set locally, regionally, or nationally, other departments and units struggle to meet the same quality goals. Thus, generating actionable information by reusing routinely collected EHR data does not necessary lead to action in response to the information. This process of generating information from existing EHR data, and communicating and using such information for organizational purposes, may be challenging in a highly complex environment such as health care organizations. Within this process, information quality (IQ) may influence actors’ perceptions of action possibilities the information offers, thus influencing the actual use of the information required to reach organizational goals. EHR data can be used for clinical purposes at the point-of-care (i.e., primary use) and reused for purposes that do not involve patient treatment directly (i.e., secondary use). Examples of such secondary use includes quality management, research, and policy development. Though it is widely accepted that IQ influences the use of EHR systems and the information generated by EHR systems, research on the implications of IQ on health care processes is limited: the focus of the current literature is concerned with defining and assessing IQ in primary use of EHR data, whereas the role of IQ in secondary use of EHR data remains unclear. Thus, this dissertation investigates the role of IQ in secondary use of EHR data in an organizational context. This dissertation addresses this practical and theoretical challenge by focusing on the overall research objective of understanding the role of IQ in secondary use of EHR data. To address this research objective, this dissertation explores the following research questions: RQ1. How do human actors influence in transformation of IQ while generating, communicating, and using information in secondary use of EHR data? RQ2. What are the underlying generative mechanisms through which IQ transforms in the process of secondary use of EHR data?publishedVersio

Critical review of the e-loyalty literature: a purchase-centred framework

Over the last few years, the concept of online loyalty has been examined extensively in the literature, and it remains a topic of constant inquiry for both academics and marketing managers. The tremendous development of the Internet for both marketing and e-commerce settings, in conjunction with the growing desire of consumers to purchase online, has promoted two main outcomes: (a) increasing numbers of Business-to-Customer companies running businesses online and (b) the development of a variety of different e-loyalty research models. However, current research lacks a systematic review of the literature that provides a general conceptual framework on e-loyalty, which would help managers to understand their customers better, to take advantage of industry-related factors, and to improve their service quality. The present study is an attempt to critically synthesize results from multiple empirical studies on e-loyalty. Our findings illustrate that 62 instruments for measuring e-loyalty are currently in use, influenced predominantly by Zeithaml et al. (J Marketing. 1996;60(2):31-46) and Oliver (1997; Satisfaction: a behavioral perspective on the consumer. New York: McGraw Hill). Additionally, we propose a new general conceptual framework, which leads to antecedents dividing e-loyalty on the basis of the action of purchase into pre-purchase, during-purchase and after-purchase factors. To conclude, a number of managerial implementations are suggested in order to help marketing managers increase their customers’ e-loyalty by making crucial changes in each purchase stage