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BACKGROUND The promise of digital health is principally dependent on the ability to electronically capture data that can be analyzed to improve decision-making. However, the ability to effectively harness data has proven elusive, largely because of the quality of the data captured. Despite the importance of data quality (DQ), an agreed-upon DQ taxonomy evades literature. When consolidated frameworks are developed, the dimensions are often fragmented, without consideration of the interrelationships among the dimensions or their resultant impact. OBJECTIVE The aim of this study was to develop a consolidated digital health DQ dimension and outcome (DQ-DO) framework to provide insights into 3 research questions: What are the dimensions of digital health DQ? How are the dimensions of digital health DQ related? and What are the impacts of digital health DQ? METHODS Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a developmental systematic literature review was conducted of peer-reviewed literature focusing on digital health DQ in predominately hospital settings. A total of 227 relevant articles were retrieved and inductively analyzed to identify digital health DQ dimensions and outcomes. The inductive analysis was performed through open coding, constant comparison, and card sorting with subject matter experts to identify digital health DQ dimensions and digital health DQ outcomes. Subsequently, a computer-assisted analysis was performed and verified by DQ experts to identify the interrelationships among the DQ dimensions and relationships between DQ dimensions and outcomes. The analysis resulted in the development of the DQ-DO framework. RESULTS The digital health DQ-DO framework consists of 6 dimensions of DQ, namely accessibility, accuracy, completeness, consistency, contextual validity, and currency; interrelationships among the dimensions of digital health DQ, with consistency being the most influential dimension impacting all other digital health DQ dimensions; 5 digital health DQ outcomes, namely clinical, clinician, research-related, business process, and organizational outcomes; and relationships between the digital health DQ dimensions and DQ outcomes, with the consistency and accessibility dimensions impacting all DQ outcomes. CONCLUSIONS The DQ-DO framework developed in this study demonstrates the complexity of digital health DQ and the necessity for reducing digital health DQ issues. The framework further provides health care executives with holistic insights into DQ issues and resultant outcomes, which can help them prioritize which DQ-related problems to tackle first.

Purpose This study aims to explain the value co-creation and co-destruction practices of older adults in an online community (OC). Design/methodology/approach Adopting practice theory and service-dominant logic as a theoretical perspective, this paper examined an OC of older adults by conducting an inductive thematic analysis of the interactions of the participants in the community. Findings The analysis revealed older adults engage with three value co-creation plus one value co-destruction practices in the OC including, communal coping practices, happiness creation practices, social capital generation practices and disparaging practices for older adults. Research limitations/implications Illustrated in a conceptual model, this study extends previous work evidencing OCs serve as a platform for value co-creation and value co-destruction activities in the context of older adults. Further, it suggests OCs facilitate resilience of older adults through value co-creation practices. Recognition of value co-destruction in OCs is critical as it is detrimental to the resilience of older adults. This study provides the needed foundation to advance knowledge on the use of OCs by older adults and suggests future research directions. Practical implications Identifying co-creation and co-destruction practices of older adults in OCs enables service providers (e.g. caregivers) to engage better in online value co-creation practices. Further, the findings of this study address one of the main priorities of service science to investigate the impact of value co-creation on well-being. Originality/value Despite the significant engagement of older adults in OCs, there is a lack of enough knowledge in the literature regarding value co-creation and co-destruction practices of older adults in OCs. This study addressed this gap by explaining how older adults co-create and co-destruct value in online spaces.

Recent gerontology studies emphasize resilience, the process of bouncing back from adversity as a significant factor of wellbeing. Further, advancements in technology such as online communities benefit older adults in various ways. Despite the evidence demonstrating the importance of resilience in wellbeing and specifically in later life, the relationship between online communities’ potential benefits and resilience factors among older adults is understudied. This study undertakes a systematic review of studies on potential benefits of online communities for older adults followed by an inductive thematic analysis to uncover the potential benefits of online communities for older adults. Next, the findings were compared with resilience factors of older adults to identify the potential benefits of online communities that can support resilience factors among older adults. Three potential benefits of online communities are identified: social support, self-empowerment, and wellbeing improvement. Findings show that these benefits can support resilience factors including meaningfulness, grit, self-care, external connection, health status, positive perspective on life, and independence. Our study provides a foundation based on the current literature and suggests future research directions to advance knowledge on the role of online communities in the resilience of older adults.

This paper aims to propose a new guideline for analyzing tourist profiles as found in www.tripadvisor.com. These have been examined from two different aspects so as to gain conclusive results. Tourist data were “crawled” from tripadvisor.com through a specific web crawler. Mining techniques using a combination of visualization, clustering, and association rules were instrumental in discovering the first set of interesting knowledge. This was followed by a qualitative analysis applied through Nvivo software via coding of the tourist's comments in order to define the design of the prospective model. A final set of results was obtained once both results confirmed each other. In this study, results show that there are several types of tourists; with each group having different preferences. For example: male Singaporean visitors to hotels tend to enjoy wine and food in addition to outdoor activities; while local visitors to Legoland are not satisfied with certain aspects, such as the price of food. International tourists, however, consider the affirmative points of Legoland. This research can be very useful for tourist associations and hotel managers in Johor Bahru.

Tourism is one of the most significant industries all across the globe. Information technology plays an indispensable role in promoting the industry. We utilized a web crawler to obtain online tourists' demographics and comments. This study adopts a new perspective in analyzing tourists' profiles where both quantitative (data mining) and qualitative analysis methods were performed on the data collected from one of the most frequently visited travel websites. Results from both data analysis methods that supported each other were used to build a more definite model. In this study, results show there were different groups of tourist with each group having diverse preferences. For instance, local visitors of Legoland were not satisfied with some drawbacks such as the food price whereas, international visitors praised for their enjoyable experiences spent with families. Findings from this study are useful for tourism organizations in Malaysia. Additionally, the research method using both quantitative (data mining) and qualitative methods in this study is found unique and rare in social studies.

English language proficiency continues to be considered essential for students who want to optimize their employment opportunities after graduation. In China, the College English Test (CET) is one of the most important exams, which measures students' level of English proficiency. This paper focuses on relations between College English Test results and graduates salaries. This was followed by the identification of the main factors affecting the CET results. The study was based on data collected from the Haojing College of Shaanxi University of Science and Technology in China. In this study, association rules mining and classification and regression tree algorithms were chosen to analyze the data. According to the analysis, the results indicate that CET performance plays a key role in graduate income levels. Finally, some strategies will be recommended in order to enhance the quality of English teaching.