E-WOM and Accommodation Filieri, Raffaele; McLeay, Fraser
Journal of travel research,
01/2014, Letnik:
53, Številka:
1
Journal Article
Recenzirano
Online reviews (ORs) are continuing to foster a renewed spread of word-of-mouth in the travel industry. Travelers are increasingly using ORs to inform them about accommodations and other ...tourism-related products. As such, it is important to improve our understanding of the behavioral consequences of e-word-of-mouth. In this article, we adopt the elaboration likelihood model to identify what influences travelers to adopt information from ORs in their decision making. We measure the influence of six dimensions of information quality that are part of the central route and two dimensions that are associated with the peripheral route of persuasion. The results of this study reveal that product ranking, information accuracy, information value-added, information relevance, and information timeliness are strong predictors of travelers’ adoption of information from ORs on accommodations. These results imply that high-involvement travelers adopt both central (information quality) and peripheral (product ranking) routes when they process information from ORs.
Online consumer reviews (OCRs) have become one of the most helpful and influential information in consumers purchase decisions. However, the proliferation of OCRs has made it difficult for consumers ...to orientate themselves with the wealth of reviews available. Therefore, it is paramount for online organizations to understand the determinants of perceived information diagnosticity in OCRs. In this study, we investigate consumer perceptions and we adopt the Elaboration Likelihood Model to analyze the influence of central (long, relevant, current, and factual OCRs) and peripheral cues (source credibility, overall ranking scores) on perceived information diagnosticity (PID). We consider the potential moderating effect of consumer involvement, and tested the robustness of the theoretical framework across time.
Based on two surveys carried out in 2011 and in 2016, this study demonstrates the dynamic nature of the antecedents of PID in e-WOM. We found that long reviews are not perceived as helpful, while relevant and current reviews as well as overall ranking scores are perceived as diagnostic information in both samples. The significance of the predicting power of review factuality and source credibility has evolved over time. Both central (review quality dimensions) and peripheral cues (ranking score) were found to influence PID in high-involvement decisions.
•We study the antecedents of information diagnosticity in consumer reviews over time.•Long reviews are not perceived as diagnostic information.•Relevant reviews and overall ranking are perceived as diagnostic over time.•The influence of review factuality and source credibility has evolved over time.•Central and peripheral cues influence information diagnosticity in high-involvement.
PurposeNumerous data quality (DQ) definitions in the form of sets of DQ dimensions are found in the literature. The great differences across such DQ classifications (DQCs) imply a lack of clarity ...about what DQ is. For an improved foundation for future research, this paper aims to clarify the ways in which DQCs differ and provide guidelines for dealing with this variance.Design/methodology/approachA literature review identifies DQCs in conference and journal articles, which are analyzed to reveal the types of differences across these. On this basis, guidelines for future research are developed.FindingsThe literature review found 110 unique DQCs in journals and conference articles. The analysis of these articles identified seven distinct types of differences across DQCs. This gave rise to the development of seven guidelines for future DQ research.Research limitations/implicationsBy identifying differences across DQCs and providing a set of guidelines, this paper may promote that future research, to a greater extent, will converge around common understandings of DQ.Practical implicationsAwareness of the identified types of differences across DQCs may support managers when planning and conducting DQ improvement projects.Originality/valueThe literature review did not identify articles, which, based on systematic searches, identify and analyze existing DQCs. Thus, this paper provides new knowledge on the variance across DQCs, as well as guidelines for addressing this.
In organizations today, the risk of poor information quality is becoming increasingly high as larger and more complex information resources are being collected and managed. To mitigate this risk, ...decision makers assess the quality of the information provided by their IS systems in order to make effective decisions based on it. To do so, they may rely on quality metadata: objective quality measurements tagged by data managers onto the information used by decision makers. Decision makers may also gauge information quality on their own, subjectively and contextually assessing the usefulness of the information for solving the specific task at hand. Although information quality has been defined as fitness for use, models of information quality assessment have thus far tended to ignore the impact of contextual quality on information use and decision outcomes. Contextual assessments can be as important as objective quality indicators because they can affect which information gets used for decision making tasks. This research offers a theoretical model for understanding users' contextual information quality assessment processes. The model is grounded in dual-process theories of human cognition, which enable simultaneous evaluation of both objective and contextual information quality attributes. Findings of an exploratory laboratory experiment suggest that the theoretical model provides an avenue for understanding contextual aspects of information quality assessment in concert with objective ones. The model offers guidance for the design of information environments that can improve performance by integrating both objective and subjective aspect of users' quality assessments.
El estudio, basado en un análisis documental clásico, reflexiona sobre algunas directrices conceptuales-metodológicas relativas a la medición de la calidad de la información (CI) en el marco de la ...gestión de información (GI) en las organizaciones. Es descrito el proceso de GI y la importancia de la aplicación de principios de calidad en éste. Se exponen las cuatro dimensiones de la CI según una integración de los indicadores esenciales que caracterizan a los contenidos informacionales. Son definidas cada una de las fases que componen el diseño de una metodología para evaluar la información. Se indican las implicaciones que tiene este ejercicio para los profesionales del campo informacional.
Systems Development Lifecycle consists of four phases: Planning, Analysis, Design, and Implementation. In the SDLC, needs and expectations of information system users, i.e., information users, are ...mainly studied from the standpoint of IT at the analysis phase, but occasions and methods to feedback information users' needs and expectations from the standpoint of businesses to systems development are very restricted after the implementation phase. Information quality is defined as degree of fitness for use of information provided by information systems, and increasingly more researches have recently been devoted to it. This research discusses that measurement of information quality would constitute a feedback from information users to systems planning and development after the implementation phase, and introduce two topics useful to link the feedback to systems improvement.
PurposeTechnological developments such as blockchain seem to be the next step in a digital era and might reshape the way we do business. They are expected to have an impact on both business and ...society in the next few decades. This paper aims to provide general insights into blockchain technology and the extent to which it might transform the accounting system.Design/methodology/approachAnalysing the previous literature, the paper provides a general overview of this phenomenon, identifying pending technical as well as non-technical issues that will have to be addressed for the full potential of blockchain technology to be embraced. The paper also proposes ways in which the information quality dimension might be improved.FindingsThe paper identifies the pending challenges for blockchain, such as scalability, flexibility, a suitable architecture and cybersecurity. Additionally, to integrate blockchain technology fully into a real accounting ecosystem, a consensus between regulators, auditors and other parties is needed.Originality/valueA general overview of this new phenomenon, as well as a summary of how the quality of accounting information might be improved, is provided. Given that it features elements such as decentralization and transparency, blockchain certainly has the potential to improve information and accounting quality.
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