編集方針と編集プロセス
原稿を受け付けた理由
著者の貢献とその分野での関連性、優れたテクニカルライティングスキルと研究デザインの質
たとえば、数値が平均値や期待値から離れている場合の大きな差異を説明したり、多くの人々に影響を与える未解決の問題に光を当てたりすることによって、重要な問題に対する洞察を提供します。
この洞察は、意思決定を行う人々、特に長期的な組織上の意思決定、または私たちの特定の分野では家族の意思決定に役立ちます。
その洞察は、新しいフレームワークや新しい理論を開発したり、既存の理論を発展させたりするために使用されます。
The insight stimulates new, important questions
The methods used to explore the issue are appropriate (for example, collection of data and interpreting of data)
The methods used are applied rigorously and explain why and how the data support the conclusions
Interconnecting the previous work in the relevant field or from inter-disciplinary fields are made to the article's interpretations clearer.
The article tells a good story: Well written and easy to understand, the arguments are logical and not internally contradictory
Reasons for rejection of manuscripts
Does not fall within the Aims and Scope: This is a common mistake. The emphasis of the manuscript is not in the scope of the journal and/or the guidelines of the targeted journal are not followed.
Fails the technical screening (Poor English grammar, style, and syntax): The article contains elements that are suspected to be plagiarized. The article is currently under review process at another journal. The manuscript is not complete; it may be lacking key elements such as the title, authors, affiliations, keywords, main text, references and all tables and figures. The English is not proficient for the peer review process; the figures are not complete or are not clear enough to read. References are incomplete or very old.
Insufficient/Incomplete data: It is important to clearly define and appropriately frame the studys question. The article contains observations but is not a full study. It discusses findings in relation to some of the work in the field but ignores other important work.
Methods/Analysis data is seen to be defective: Details are insufficient to repeat the results. The design of study, instruments used, and procedures followed should clear. But in some cases it could be better to put too much information into the methods section rather than to put too little. The analysis is not statistically valid or does not follow the norms of the field.
Over interpretation of results: Some reviewers have indicated that a clear and honest approach to the interpretation of the results is likely to increase the chances of a manuscript to be accepted. Identify possible partial and stunning variables, both during the preliminary phase of the study and the elucidation of the results. Describe the experimental results briefly.
Incomprehensible/Unsatisfactory data: Make tables and graphs easy to understand. Some editors start looking quickly at the tables, graphs, and figures to determine if the manuscript is worth considering. The language, structure, or figures are very poor that the merit can't be analyzed. Have a native English speaker to read and assess the quality of the paper.
Conclusions not supported by data: Make sure your conclusions are not overemphasize, are supported, and answer the studys query. Make sure to contribute alternative clarification, and do not simply restate the results. The conclusions should not ignore large portions of the literature.
Simply a small extension of a different paper, inaccurate literature: Be sure to conduct a complete literature search and only list references relevant to the study. Findings are incremental and do not advance the field. The work is clearly but larger part of a study is chopped to make possible number of articles.
Author unwilling to revise the manuscript to address reviewers suggestions: Taking the reviewers suggestions into account, revising your manuscript will always result in a better manuscript for publishing. If the editor suggests evaluating a revision, it means the manuscript may be publishable if the reviewers concerns could be addressed satisfactorily.