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The purpose of this research is to examine the type of online reviews (review timeliness, review quantity, and review valence) and its relationship toward online purchase intention for electronic products among millennials in Malaysia.

The quantitative approach and simple random sampling methodology were used in this research. Data were gathered through a survey instrument, and the partial least squares structural equation modeling (PLS-SEM) technique was subsequently applied to 215 responses. The model explained 36.3 percent variation of the major constructs in relation to online purchase intention of electronic products amongst Malaysian millennials.

Review timeliness is the most influential online reviews element towards Malaysian millennials' online purchase intention for electronic products.

This research project has provided the researcher and marketers with more clarity into the area of online purchase intention for electronic products, which is a volatile and dynamic area with continuous uncertainty.

The purpose of this paper is to report successful authors’ views about the editorial review processes of a set of 42 accounting journals. The two main objectives are: to enlighten editors and journal publishers in their quest to improve their journals’ editorial review processes and to inform prospective authors about the past experiences successful authors have had with the 42 accounting journals.

A Webmail survey was used to collect data about authors’ experiences with publishing in one of the 42 accounting journals. A total of 856 responses (40 per cent response rate) was received. Various statistical analyses were used to explore a range of editorial review process features, including the timeliness of editorial feedback, timeliness of publishing accepted manuscripts, quality of the feedback provided and performance of the editor.

Authors were found to be generally quite satisfied with the editorial review processes of the journals in which they published. There were, however, notable leaders and laggards observed among the 42 journal titles. The survey findings also revealed that many journals use the practice of basing their editorial decisions on the comments of a single reviewer. In fact, this practice is most prevalent among the journals that are commonly perceived as the field’s “top” journals. These and other editorial review results – for example, comparisons between journal-tiers, geographical locations of editorial review offices and journal specialties – are discussed.

This paper extends and moves well beyond Adler and Liyanarachchi (2011), by exploring such additional author perceptions of the editorial review process as the performance of journal editors, the use of multiple reviewers and reviewers’ reporting of the typical faults/weaknesses in the papers they read. Exposing to public scrutiny an academic discipline’s editorial review processes is quite common in some fields of research, most notably medicine. Doing so in the accounting discipline addresses a need that many of the respondents felt was highly necessary and long overdue. While authors will benefit from the paper’s insights, editors and publishers are expected to as well.

The reviews submitted by users are the foundation of user-generated content (UGC) platforms. However, the rapid growth of users brings the problems of information overload and spotty content, which makes it necessary for UGC platforms to screen out reviews that are really helpful to users. The authors put forward in this paper the factors influencing review helpfulness voting from the perspective of review characteristics and reviewer characteristics.

This study uses 8,953 reviews from 20 movies listed on Douban.com with variables focusing on review characteristics and reviewer characteristics that affect review helpfulness. To verify the six hypotheses proposed in the study, Stata 14 was used to perform tobit regression.

Findings show that review helpfulness is significantly influenced by the length, valence, timeliness and deviation rating of the reviews. The results also underlie that a review submitted by a reviewer who has more followers and experience is more affected by review characteristics.

Previous literature has discussed the factors that affect the helpfulness of reviews; however, the authors have established a new model that explores more comprehensive review characteristics and the moderating effect reviewer characteristics have on helpfulness. In this empirical research, the authors selected a UGC community in China as the research object. The UGC community may encourage users to write more helpful reviews by highlighting the characteristics of users. Users in return can use this to establish his/her image in the community. Future research can explore more variables related to users.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2020-0186.

This paper aims to propose a bed and breakfast (B&B) recommendation method that takes into account review timeliness and user preferences to help consumers choose the most satisfactory B&B.

This paper proposes a B&B ranking method based on improved intuitionistic fuzzy sets. First, text mining and cluster analysis are combined to identify the concerns of consumers and construct an attribute set. Second, an attribute-level-based text sentiment analysis is established. The authors propose an improved intuitionistic fuzzy set, which is more in line with the actual situation of sentiment analysis of online reviews. Next, subjective-objective combinatorial assignments are applied, considering the consumers’ preferences. Finally, the vlsekriterijumska optimizacija i kompromisno resenje (VIKOR) algorithm, based on the improved score function, is advised to evaluate B&Bs.

A case study is presented to illustrate the use of the proposed method. Comparative analysis with other multi-attribute decision-making (MADM) methods proves the effectiveness and superiority of the VIKOR algorithm based on the improved intuitionistic fuzzy sets proposed in this paper.

Proposing a B&B recommendation method that takes into account review timeliness and user customization is the innovation of this paper. In this approach, the authors propose improved intuitionistic fuzzy sets. Compared with the traditional intuitionistic fuzzy set, the improved intuitionistic fuzzy set increases the abstention membership, which is more in line with the actual situation of attribute-level sentiment analysis of online reviews.

The purpose of this paper is to examine what influence travelers’ adoption of online reviews, and whether the online reviews will influence their travel planning decisions.

Data were collected from 193 respondents from eWOM websites and analyzed using structural equation modeling.

The results revealed that eWOM has a significant influence on travel decisions. Furthermore, travelers were willing to adopt information from eWOM and this information was useful in their travel planning and decisions. Gender and time spent on online reviews were found to affect travel planning and decisions. Travelers also found that the reviews and issues raised in eWOM had credibility and were of good quality.

The study was not able to incorporate all factors which may be relevant to this study and so further theoretical development may be necessary to develop the conceptual model. The sample size, while adequate, can be expanded further.

Operators and administrators of eWOM can use these findings to develop more user-friendly interfaces so that more positive reviews and sales can be generated.

The results showed that travelers who adopt the information in eWOM will, in turn, use eWOM in their travel planning. This confirms the importance of eWOM and travelers in general will translate their pre-travel decisions into actual travel planning.

This research extended existing eWOM and information system adoption studies and focused on the travel planning context. This research validated the significant roles of eWOM argument quality and credibility in predicting the information usefulness of eWOM.

This paper synthesizes the extant feedback literature, focusing on how feedback affects an auditor’s learning, performance, and motivation. Performance feedback is an important component in the auditing environment for ensuring quality control and for developing and coaching staff auditors. However, the literature on feedback in the audit environment is fragmented and limited making it difficult to assess its behavioral effects on auditors. This paper has three main objectives. The first is to review some of the influential research in psychology and management to identify key variables and issues that appear to be critical in the study of behavioral consequences of feedback in organizational settings. The second is to review performance feedback research specifically in auditing to identify the areas previously examined and synthesize the findings. The third is to suggest a variety of future research opportunities that may assist in developing an understanding and knowledge of the behavioral effects of feedback on auditors. The literature analysis has significant implications for audit research and practice. In particular, the analysis provides important insights into understanding who, how, and when performance feedback should be given to improve its effectiveness in the audit environment.

The purpose of this editorial is to announce the winners of the EJM Reviewer of the Year awards, and also to make some observations about successful and effective practice in reviewing scholarly work.

The authors draw from their own experience as reviewers, authors, and editors to provide a set of considerations for those involved in the review process.

The authors propose a set of guidelines for reviewers who wish to make the most of their role in the scientific method.

These thoughts are preliminary, and are drawn from personal experiences rather than a wide‐ranging survey of stakeholders.

Marketing researchers should ensure that they understand their role in the scholarly reviewing process, and that they provide timely and constructive comments on their areas of expertise.

This piece should offer marketing researchers considerable value in the context of their own efforts, both as authors and reviewer.

Due to product diversity, traditional quality signals in the hotel industry such as star ratings and brand affiliation do not work well in the accommodation booking process on the sharing economy platform. From a suppliers’ perspective, this study aims to apply the signaling theory to the booking of Airbnb listings and explore the influence of quality signals on the odds of an Airbnb listing being booked.

A binomial logistic model is used to describe the influences of different attributes on the market demand. Because of the large sample size, sequential Bayesian updating method is utilized in hospitality and tourism field for the first attempt.

Results show that, in addition to host-specific information such as “Superhost” and identity verification, attributes including price, extra charges, region competitiveness and house rules are all effective signals in Airbnb. The signaling impact is more effective for the listings without any review comments.

This study contributes to the literature by incorporating the signaling theory in the analysis of booking probability of Airbnb accommodation. The research findings are valuable to hosts in improving their booking rates and revenue. In addition, government and industrial management organizations can have more efficient strategy and policy planning.